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Open PhD and post-doc positions at the University of Bern

by Jean-Pascal Pfister

Applications are invited for two PhD student positions and one post-doc position at the University of Bern. The positions are funded by a grant from the Swiss National Science Foundation which is entitled “Why Spikes?”. This project aims at answering an almost 100 year old question in Neuroscience: “What are spikes good for?”. Indeed, since the discovery of action potentials by Lord Adrian in 1926, it has remained largely unknown what the benefits of spiking neurons are, when compared to analog neurons. Traditionally, it has been argued that spikes are good for long-distance communication or for temporally precise computation. However, there is no systematic study that quantitatively compares the communication as well as the computational benefits of spiking neuron w.r.t analog neurons. The aim of the project is to systematically quantify the benefits of spiking at various levels. The PhD students and post-doc will be supervised by Prof. Jean-Pascal Pfister (Theoretical Neuroscience Group, Department of Physiology, University of Bern). The PhD candidates (resp. post-doc candidate) should hold a Master (resp. PhD) degree in Physics, Mathematics, Computer Science, Computational Neuroscience, Neuroscience or a related field. She/he should have keen interests in developing theories that can be tested experimentally. Preference will be given to candidates with strong mathematical and programming skills. Expertise in stochastic dynamical systems, point processes, control theory and nonlinear Bayesian filtering will be a plus. The applicant should submit a CV (including contacts of two referees), a statement of research interests, marks obtained for the Master to Jean-Pascal Pfister (jeanpascal.pfister(a)unibe.ch) The position is offered for a period of three years and can be extended. The preferred starting date is February 2023. Salary scale is provided by the Swiss National Science Foundation (http://www.snf.ch/SiteCollectionDocuments/allg_doktorierende_e.pdf) Deadline for application is the 30th of November 2022 or until the position is filled. --------------------------------- Prof. Jean-Pascal Pfister Theoretical Neuroscience Group Physiology Department, University of Bern 5 Bühlplatz, CH-3012 Bern, CH e-mail: jeanpascal.pfister(a)unibe.ch URL: http://www.physio.unibe.ch/~pfister/

Nov. 7, 2022

Gatsby Unit PhD Programme in Theoretical Neuroscience and Machine Learning -- deadline 13 November

by Maneesh Sahani

Applications to the Gatsby Unit PhD programme close soon. See www.ucl.ac.uk/gatsby/study-and-work/phd-programme The Gatsby Unit is a leading research centre focused on theoretical neuroscience and machine learning. We study (un)supervised and reinforcement learning in brains and machines; inference, coding and neural dynamics; Bayesian and kernel methods, and deep learning; with applications to the analysis of perceptual processing and cognition, neural data, signal and image processing, machine vision, network data and nonparametric hypothesis testing. The unit provides a unique opportunity for a critical mass of theoreticians to interact closely with one another, with the Sainsbury Wellcome Centre for Neural Circuits and Behaviour (SWC), the Centre for Computational Statistics and Machine Learning (CSML), other research groups in related UCL departments, and the nearby Alan Turing and Francis Crick Institutes. Students complete a 4-year PhD in either machine learning or theoretical neuroscience, with minor emphasis in the complementary field. Courses in the first year provide a comprehensive introduction to both fields and systems neuroscience. Students are encouraged to work and interact closely with researchers at the SWC and/or CSML to take advantage of this uniquely multidisciplinary research environment. Applicants should have a strong analytical and quantitative background, a keen interest in neuroscience, machine learning or both, and a relevant first degree, for example in Mathematics, Statistics, Computer Science, Engineering, Physics, Neuroscience or Cognitive Psychology. Full funding is available regardless of nationality. The unit also welcomes applicants who have secured or are seeking funding from other sources. Applications should be submitted directly via our online portal. -- Maneesh Sahani, Ph.D. Professor of Theoretical Neuroscience and Machine Learning Director, Gatsby Computational Neuroscience Unit, UCL 25 Howland Street, London W1T 4JG

Nov. 4, 2022

IBI Data Governance Symposium at Neuroscience 2022 San Diego, Nov. 14, 18:30-

by Kenji Doya

If you are attending Neuroscience 2022 in San Diego, please come join the satellite symposium by International Brain Initiative (IBI) Data Standards and Sharing Working Group: Developing an International Data Governance Framework to Accelerate Global Neuroscience Research https://brainminds-beyond.jp/satelliteopen@sfn_2022_ibi_data_WG.html Monday, November 14th, 2022, 18:30 – 20:40 PST Hilton San Diego Bayfront, Level 4, Sapphire 400AB Opening: Jan Bjaalie, Kenji Doya Keynote: Open science at the Allen Institute for Neural Dynamics, Karel Svoboda Flash talks on data sharing by brain initiatives around the world Updates from Data WG Task Forces Data Governance: Damian Eke, Franco Pestilli, Matthew Brown Data Catalog: Sean Hill, Tom Johnstone Training: Sharon Crook, Tina Kokan Open Discussion over drinks and snacks Closing: Maryann Martone Pre-registration is not required but attendance is limited to 100, first-come-first-served. If you are interested in joining, please leave a note here: https://www.surveymonkey.com/r/IBI_data_interest For any question, please contact: ibidatawg(a)gmail.com See you in San Diego! Kenji ---- Kenji Doya <doya(a)oist.jp> Neural Computation Unit, Okinawa Institute of Science and Technology Graduate University 1919-1 Tancha, Onna, Okinawa 904-0495, Japan Phone: +81-98-966-8594; Fax: +81-98-966-2891 https://groups.oist.jp/ncu

Nov. 4, 2022

Post-doc on Spiking models for energy-efficient Continuous Learning AI

by Xavier Otazu Porter

We are seeking postdocs to join the Learning and Machine Perception (LAMP) team in beautiful Barcelona. The positions are for two years and will remain open until good candidates are found. The project focuses on research lines that explore the potential of Continual AI to address the challenges of sustainable-AI. Living allowance of 31-36k€/year (gross salary) depending on experience. More information on: http://wwwo.cvc.uab.es/lamp/?p=1389 Xavier Otazu Computer Vision Center<http://www.cvc.uab.cat> CONFIDENTIALITY WARNING<http://www.cvc.uab.es/?page_id=7475>

Nov. 4, 2022

Postdoctoral position in astrocyte modeling at EPFL, Switzerland

by Daniel Keller

The Blue Brain Project at EPFL in Switzerland has an open postdoctoral position for modeling of astrocyte signaling pathways within the context of large-scale brain simulations, using numerical solution of differential equations as well as other techniques. Qualified candidates should hold a doctorate in a science or technical domain. For more information or to apply, please see: https://recruiting.epfl.ch/Vacancies/2032/Description/2

Nov. 4, 2022

Job Opportunity at INCF!

by INCF

Job Opportunity at INCF! Stockholm, SE: Want to join a friendly, international group passionate about neuroinformatics and the FAIR scientific environment? We’re hiring! The role includes: - managing INCF's scientific committees & councils, - developing communications materials, - maintaining training & education content, - maintaining updates on working group activities, - managing mentorship programs, and - assisting with INCF events. Candidates should be highly organized and service-minded with excellent written and spoken English. We are looking for a self-motivated and independent neuroscientist, computer scientist, or data scientist, preferably with experience in community engagement, open science practices, and scientific communications. The candidate should have strong time management skills and be able to multitask. Interpersonal skills are essential and we emphasize the person’s ability to contribute to a friendly work environment. Skills required: - MSc or PhD in computational neuroscience, neuroscience, data science, or computer science - Fluency in English - Strong organizational skills - Ability to prioritize tasks - Excellent and proven team-working ability - Tactful and diplomatic verbal and written interpersonal communication skills - Proficiency in MS Office - Proficiency in scientific writing (blog-style) - Experience with Adobe Creative Suite (mainly InDesign and Photoshop) Skills desirable: - Knowledge of Google apps, Zoom, Doodle, and other similar web applications for office use - Familiarity with social media platforms (Twitter, LinkedIn, Facebook, YouTube) - Graphical/layout skills Learn more and apply by November 30: bit.ly/INCFjobad /The INCF Team

Nov. 3, 2022

PhD Positions in Brain Imaging Computing at Lehigh University, US

by Yu Zhang

*PhD Positions in Brain Imaging Computing at Lehigh University, USA* The Brain Imaging and Computation Laboratory (BIC Lab) at Lehigh University has opening PhD positions in brain imaging computing. *Position description:* The research projects will focus on developing and applying a variety of machine learning/deep learning methods for brain imaging analysis and prediction. The successful applicants will contribute to research and development in artificial intelligence (AI)-driven neural biomarker discovery using advanced neuroimaging techniques (e.g., MRI and EEG) for precision medicine of brain diseases and brain-computer interaction. *Qualifications:* Successful applicants will have a Bachelor’s or Master’s degree in Electrical Engineering, Biomedical Engineering, Computer Science, or other related fields, and strong motivation to do high-quality research in novel brain imaging computing with machine learning. Additionally, strong quantitative skills and a programming background (Matlab and/or Python) are important. Previous research experiences in related fields and scientific publications in journals/conferences are preferred. *Lehigh University:* Lehigh University is a premier research university in the United States, consistently ranked in the top tier of national research universities each year. It is a coeducational, nondenominational, private university that offers a distinctive academic environment for undergraduate and graduate students from across the globe. The University campus is located in Pennsylvania’s scenic Lehigh Valley, with a driving distance of 1 hour to Philadelphia and of 2 hours to New York City. The application materials will be reviewed immediately once received. The expected starting time is in Spring or Fall 2023. Interested candidates should send their CV and a cover letter describing research accomplishments and interests to Dr. Yu Zhang at yuzi20(a)lehigh.edu Yu Zhang, PhD Assistant Professor Department of Bioengineering Department of Electrical and Computer Engineering Lehigh University Webpage: http://yuzhangresearch.weebly.com/ Email: yuzi20(a)lehigh.edu

Nov. 3, 2022

[Jobs] 2 Year Postdoc at the Institute for Neural Computation, Bochum, Germany

by Laurenz Wiskott

The Institute for Neural Computation of the Faculty for Informatics is looking for a postdoc (m,f,x) in the field of Computational Neuroscience for 2 years, 39,83 hours per week, E13 TVL The Institute for Neural Computation is part of the Faculty of Computer Science at the Ruhr-University Bochum, see https://www.ini.rub.de/. It focuses on the dynamics and learning of perception and behavior on a functional level but is otherwise very diverse, ranging from neurophysiology and psychophysics over computational neuroscience to machine learning and technical applications. There is an open position for a postdoc in the group „Theory of Neural Systems“ of Prof. Dr. Laurenz Wiskott to be filled as soon as possible. The position is planned for two years with salary level 100% TV-L E13, the standard German salary for postdocs. This position offers the opportunity to develop your own research profile and establish an independent research group. The research topic should be in the field of computational neuroscience on a system level, in particular modeling the visual system, episodic memory, or navigation in mammals. Collaborations with colleagues at the institute are welcome. extent: full-time duration: temporary beginning: as soon as possible application deadline: 21.11.2022 Your tasks: Independent research projects and publications. Acquiring third party funding. Teaching. A lot of room for own ideas and initiatives. Supervising student projects and your own PhD projects. Active participation in the local research environment. Your profile: Active participation in the local research environment. Solid knowledge in Computational Neuroscience. Potential to develop an original independent research agenda in one of the above-mentioned topics. Our offerings: An interesting interdisciplinary environment in the field of experimental and computational neuroscience / machine Learning. Opportunity to develop an independent research profile and your own research group. Opportunity to pursue further scientific qualification. A lot of room for own ideas and initiatives. Additional information: At the request of the applicant (m,f,x), the staff council may be involved in selection interviews. The load of teaching will be calculated according to § 3 of Lehrverpflichtungsverordnung (state of North Rhine-Westphalia). The Ruhr-Universität Bochum is one of Germany’s leading research universities, addressing the whole range of academic disciplines. A highly dynamic setting enables researchers and students to work across the traditional boundaries of academic subjects and faculties. To create knowledge networks within and beyond the university is RUB’s declared aim. The Ruhr-Universität Bochum stands for diversity and equal opportunities. For this reason, we favour a working environment composed of heterogeneous teams, and seek to promote the careers of individuals who are underrepresented in our respective professional areas. The Ruhr-Universität Bochum expressly requests job applications from women. In areas in which they are underrepresented they will be given preference in the case of equivalent qualifications with male candidates. Applications from individuals with disabilities are most welcome. Contact details for your application: Prof. Dr. Laurenz Wiskott, Phone: +49234 32 27997 Travel expenses for interviews cannot be refunded. For information on the collection of personal data in the application process see: https://www.ruhr-uni-bochum.de/en/information-collection-personal-data-appl…. ANR: 1267 until 21/11/2022 Applications (CV, transcript of records for PhD, MSc and BSc, statement of purpose) should be sent as a single pdf file to laurenz.wiskott(a)rub.de.

Nov. 2, 2022

Postdoctoral position for 2-photon imaging and holographic stimulation of neuronal avalanches in the cortex (Dietmar Plenz)

by Plenz, Dietmar (NIH/NIMH) [E]

A postdoctoral position for 2-photon imaging and holographic stimulation of neuronal avalanches in the cortex of behaving mice is available immediately in the Section of Critical Brain Dynamics of Dietmar Plenz at the National Institute of Mental Health, Bethesda, USA. The successful candidate will join our vibrant, collaborative, and interdisciplinary group to explore function and benefits of critical dynamics such as neuronal avalanches in cortical information processing. Our team utilizes numerous experimental techniques such as 2-photon imaging, controlled single cell stimulation with spatial-light modulation, and extracellular/intracellular recordings to study the emergent dynamics in large neuronal populations in vitro and in vivo. Our experimental approaches are complemented by elaborate computer simulations and theoretical studies in complex systems. We are located in the Porter Neuroscience Research Center on the main NIH campus in Bethesda, which provides ample opportunities to engage with a diverse neuroscience community for non-clinical and clinical research. To qualify for this position, you need a Ph.D. degree in neuroscience/physics or related discipline, some background in systems neuroscience, and an ability to work in a multidisciplinary team. Special considerations are given to applicants with training in imaging, in vivo physiology, laser optics, computational approaches. Advanced programming skills, in MATLAB, and/or Python, are of advantage but not required. The position comes with a commitment of at least 2 years and can be extended for up to 5 years. Interested and qualified individuals should send a copy of their curriculum vitae and names of three references to Dietmar Plenz at plenzd(a)mail.nih.gov<mailto:plenzd@mail.nih.gov>. The NIH is dedicated to building a community in its training and employment programs and encourages the application and nomination of qualified women, minorities, and individuals with disabilities. Postdoc Positions at the NIH View - Office of Intramural Training & Education at the National Institutes of Health<https://www.training.nih.gov/postdoc_jobs_nih/view/_31/10120/PIHSNABM_11120…>

Nov. 2, 2022

Two postdoc positions in Computational Neuroscience in Shanghai

by yy227

Dear colleagues, Two open postdoc positions are available in the Computational Neuroscience Lab led by Professor Yuguo Yu at Fudan University, Shanghai, China. We are looking for motivated scientists or engineers with Ph.D in multidisciplinary fields like Physics, Neuroscience, Mathematics, or Computer Sciences, with experience and passion in the study of neural information processing mechanisms and algorithms for brain-inspired intelligence. The major scientific questions studied recently in our groups are: 1. What computational rules or physical principles does the brain circuit follow in the long-term evolution? (Yu Y et al., JCBFM 2018; Wang X et al., PNAS 2020; Yu Y et al., Cerebral Cortex 2022) 2. How to develop Spiking neural networks (SNNs) that mimic information encoding and decoding in the brain and can energy efficiently process Spatio-temporal information through discrete and sparse spikes. (Yu Y et al., J. Neurosci.2014; Du M et al., PLoS Comp.Biol.2018; Zhang J et al., Research 2022) . 3. To develop computational behavior models or deep neural networks for higher cognitive functions, such as inhibitory control, cognitive flexibility, and working memory, so as to understand the mechanism of cognition and its impairment in psychiatric disorders. For this direction, contact: Prof. Luo, qluo(a)fudan.edu.cn. (Recent publications: JAMA Psychiatry 2019; 76(4):435-445; NeuroImage 2022, 263,119585.) The duration of the postdoc is two years with the possibility of renewal. Postdoctoral fellows will receive a generous salary and an allocation for research and travel expenses. Please email for more details. Basic Qualifications: Candidates should have backgrounds in one or more of the following areas: physics, machine learning, statistics, computational neuroscience, computer science, applied mathematics, or electrical engineering. The candidate will be expected to publish scholarly papers, attend internal, domestic, and international conferences and meetings, as well as take on a mentorship role for undergraduate and graduate students. Contact: Required application documents include a cover letter, CV, a statement of research interests, and up to three representative papers. Candidates are also required to submit the names and contact information for at least three references, and the application is complete only when three letters have been submitted. We encourage candidates to apply by Feb 31, 2022, but will continue to review applications until the positions are filled. Contact Information: Yuguo Yu (yuyuguo(a)fudan.edu.cn) Qiang Luo (qluo(a)fudan.edu.cn) Equal Opportunity Employer Fudan University is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, sex, gender identity, sexual orientation, religion, creed, national origin, ancestry, age, protected veteran status, disability, genetic information, military service, pregnancy and pregnancy-related conditions, or other protected status.

Nov. 2, 2022

Postdoctoral and doctoral studies in the neuroscience of real-time, embodied decision-making and action planning

by Paul Cisek

Postdoctoral and doctoral studies in the neuroscience of real-time, embodied decision-making and action planning Department of Neuroscience, University of Montreal Applications are invited for postdoctoral and doctoral studies in systems neuroscience, in the laboratories of Paul Cisek and Andrea Green at the University of Montreal. Our research investigates the neural mechanisms of decision-making and action planning in humans and non-human primates using computational models of the nervous system as well as behavioral experiments, transcranial magnetic stimulation, and multi-electrode recording in multiple regions of the cerebral cortex and basal ganglia. New projects will use virtual reality to study naturalistic behavior in both humans and non-human primates and develop computational models of real-time action selection and control. Additional collaborative projects include studies of decision-making during ongoing action and movement through space, MEG studies of dynamic decision-making in humans (with Karim Jerbi), and computational modeling of neural circuits and artificial learning systems (with Guillaume Lajoie and Irina Rish). For more information, see: https://cisek.org/pavel/ and https://neurosciences.umontreal.ca/recherche/les-chercheurs/andrea-green/. Multiple positions are available. All students with a strong background in biological sciences, engineering, mathematics, computer science, physics or psychology and an interest in system-level study of the brain are encouraged to apply. Prior experience in neurophysiology, behavioral neuroscience and/or computational modeling of neural systems is highly desirable. Depending on the applicant's qualifications and interests, they will help to design and conduct behavioral and neurophysiological experiments, analyze data, develop theoretical models of neural systems, prepare manuscripts for publication and participate in international conferences. Interested candidates are asked to send a curriculum vita, copies of academic transcripts, a statement of research interests and the names and contact information for two references, to Paul Cisek (paul.cisek(a)umontreal.ca<mailto:paul.cisek@umontreal.ca>) and Andrea Green (andrea.green(a)umontreal.ca<mailto:andrea.green@umontreal.ca>). Applications will be accepted until the positions are filled, but preference will be given to applications received before November 30, 2022. Interviews will be possible at the Society for Neuroscience meeting (San Diego, CA, November 12-16, 2022). Paul Cisek, PhD Département de neurosciences Université de Montréal Physical: 2960 chemin de la tour, local 4117 Montréal, QC H3T 1J4 CANADA Mailing: CP 6128 Succursale centre-ville, Montréal, QC H3C 3J7 CANADA e-mail: paul.cisek(a)gmail.com<mailto:paul.cisek@gmail.com> Web: www.cisek.org/pavel<http://www.cisek.org/pavel>

Nov. 1, 2022

Faculty position at Cold Spring Harbor Laboratory in computational neuroscience

by Benjamin Cowley

Hi all, Cold Spring Harbor Laboratory has an open search for a faculty position in computational/theoretical neuroscience. Applications are due Nov. 15, 2022. https://www.cshl.edu/about-us/careers/faculty-positions/ Here is the job description: Cold Spring Harbor Laboratory (CSHL) is seeking to fill a faculty position in the area of COMPUTATIONAL/THEORETICAL NEUROSCIENCE. Of particular interest to this search are candidates with expertise in computational and theoretical neuroscience, machine learning, and artificial intelligence. The successful candidate will have an outstanding record of research achievement and an innovative research program. They will join a highly interactive and collaborative neuroscience group working on neural circuits, neural development, neurogenetics, theoretical and computational neuroscience, artificial intelligence, synaptic function, brain disorders, rodent cognition, perception, and social behavior. Preference will be given to applicants at the Assistant Professor level, but outstanding candidates at all career stages will be considered. Cold Spring Harbor Laboratory is a world-renowned research and educational institution with programs in cancer, neuroscience, plant biology, genomics, and quantitative biology. Located on the North Shore of Long Island 30 miles from New York City, the Laboratory has a rich and successful research environment rooted in interdisciplinary collaboration as well as an innovative graduate school that attracts talented students each year. CSHL is committed to fostering a diverse work environment that values best practices in mentorship, equity, and inclusion. Successful candidates will be expected to establish productive research programs while mentoring diverse groups of students and postdocs. Applications are strongly encouraged from groups historically underrepresented in science, including women and U.S. racial/ethnic minority populations. To apply, please submit a cover letter, CV, description of research accomplishments, statement of future research plans, and a statement of diversity & mentoring to: https://cshl.peopleadmin.com/postings/20153 Position ID 03299-R; letters of reference will be requested separately. The statement of diversity & mentoring should describe a candidate’s mentoring philosophy, contributions to equity and inclusion in science, and prior training (as applicable) in mentoring, academic management/leadership, and antidiscrimination/antiracism. We will begin considering applications on a rolling basis on October 5, 2022, and applications will be considered until *November 15*. Inquiries regarding the search should be directed to: CSHLfacultyjobs(a)cshl.edu

Nov. 1, 2022

Dec 1 deadline: PhD student opening in the Developmental Cognitive Neuroscience lab (Bayet lab) at American University, Washington DC

by Laurie Bayet

Dr. Bayet (bayet(a)american.edu) assistant professor of Neuroscience at American University, is anticipating *accepting a PhD student for Fall 2023* through the Behavioral, Cognition, and Neuroscience (BCaN) program. The *application deadline is Dec 1st*, and prospective students may apply now at: https://www.american.edu/cas/neuroscience/phd/requirements.cfm (GRE optional). Applicants should mention the name(s) of the faculty they are interested in working with within their statement of purpose. The program provides 4 years of funding. Dr. Bayet directs the *Developmental Cognitive Neuroscience lab at American University*, which focuses on *infant cognitive development and high-level vision* research. Current projects in the lab combine electro-encephalography (EEG), eye-tracking, behavioral methods, and/or computational (e.g., machine learning) tools to uncover how infants and young children represent and understand complex visual objects, with particular focus on those visual objects that are relevant to affective, social communication (e.g., facial movements). Dr. Bayet's work has been recognized with a Rising Star award from the Association for Psychological Science (APS), and a Distinguished Early Career Contribution Award from the International Congress of Infant Studies. Learn more at: https://www.american.edu/cas/faculty/bayet.cfm and https://www.bayetlab.com/ The PhD student will have the opportunity to *contribute to ongoing* *NSF-funded research* in collaboration with Drs. Alexis Black (UBC), Lauren Emberson (UBC), and Richard N. Aslin (Haskins/Yale). The project, entitled “*Grounding computational models of vision with infant brain data*”, uses EEG and multivariate “decoding” to characterize infants' neural representations of visual objects, compare them to those of artificial neural networks, and assess relationships between language and visual representations (NSF award # 2122961 <https://www.nsf.gov/awardsearch/showAward?AWD_ID=2122961>). The Developmental Cognitive Neuroscience Laboratory is part of the Neuroscience Department (https://www.american.edu/cas/neuroscience/ ) and the Center for Neuroscience and Behavior ( https://www.american.edu/cas/center-neuroscience/ ) at American University. American University provides a stimulating intellectual environment, just 2 miles from downtown Washington DC. DC offers a vibrant research community, and American University enjoys proximity to other notable research institutions such as the National Institutes of Health. With extensive public transit, an exciting cultural and restaurant scene, many museums and public parks, and proximity to other green spaces in the surrounding region (e.g., Appalachian trail, Shenandoah National Park), Washington DC consistently ranks amongst the top US metropolitan areas for quality of life. Prior experience with developmental/neuroimaging research or programming/machine learning (we use Python, Matlab, and/or R) are preferred but not required, as training will be provided. Interested applicants may contact Dr. Bayet at bayet(a)american.edu for any inquiry. Selected recent lab publications: Ashton, K., Zinszer, B. D., Cichy, R. M., Nelson III, C. A., Aslin, R. N., & Bayet, L. (2022). Time-resolved multivariate pattern analysis of infant EEG data: A practical tutorial. *Developmental cognitive neuroscience*, *54*, 101094. https://doi.org/10.1016/j.dcn.2022.101094 Bayet, L. (2022). How infants learn from a world of faces: Implications for racial biases and mask-wearing. *Policy Insights from the Behavioral and Brain Sciences*, 9(1), 65-72. https://doi.org/10.1177/23727322211068007 Bayet, L., Perdue, K. L., Behrendt, H. F., Richards, J. E., Westerlund, A., Cataldo, J. K., & Nelson III, C. A. (2021). Neural responses to happy, fearful and angry faces of varying identities in 5-and 7-month-old infants. *Developmental cognitive neuroscience*, 47, 100882. https://doi.org/10.1016/j.dcn.2020.100882 Bayet, L., Zinszer, B. D., Reilly, E., Cataldo, J. K., Pruitt, Z., Cichy, R. M., ... & Aslin, R. N. (2020). Temporal dynamics of visual representations in the infant brain. *Developmental cognitive neuroscience* , *45*, 100860. https://doi.org/10.1016/j.dcn.2020.100860 -- Laurie Bayet, PhD (hear name <https://namedrop.io/lauriebayet>) Assistant Professor of Neuroscience, American University (202) 885-1719

Nov. 1, 2022

Postdoc position in modelling the effects of neuromodulation on balanced networks

by Fleur Zeldenrust

We are looking for a postdoctoral researcher to work on the Vidi project 'Top-down neuromodulation and bottom-up network computation, a computational study' and *study the effects of neuromodulators in balanced networks*. You will use cellular and behavioural data on the effects of dopamine, acetylcholine and serotonin in mouse barrel cortex gathered by our department over the past five years, to bridge the gap between single cell, network and behavioural effects. You will use the balanced network framework to study network activity under neuromodulation. In order to do this, you will develop a balanced network description of the barrel cortex, with realistic barrel cortex properties (see https://doi.org/10.1007/s12021-022-09576-5) Next, you will incorporate the cellular effects of dopamine, acetylcholine and serotonin that we have measured over the previous years (see https://doi.org/10.1093/gigascience/giy147 and https://doi.org/10.1101/2022.01.12.476007) into the network, and investigate their effects on overall network activity and behaviour. More particularly, through simulations and analytical derivations, you will research the effects of neuromodulators on the stability of the balanced state, synchrony, regularity and chaos. You will build on the single cell data, models and analysis methods available in our group, and your results will be incorporated into our group's further research to develop and validate machine learning and efficient coding models of (somatosensory) perception. We are therefore looking for a team player who can work well with our other group members and is willing to both learn from them and share their knowledge. *Profile* - You hold a PhD in computational neuroscience, mathematics, physics, computer science, AI or a related discipline. - Preferably, you have experience in working with balanced networks and can perform both network simulations and analytical derivations such as mean field approximations and chaos descriptions. - You are a highly motivated, independent, critical, and creative researcher who wants to bridge the gap between real data and abstract theoretical models. - You are a team player, ready to collaborate in a multidisciplinary research group. - You have an excellent command of spoken and written English. - You have experience in coding (Python and/or Matlab). *We are* You will be appointed at the Biophysics of Neural Computation group <https://www.ru.nl/donders/research/theme-4-neural-computation-neurotechnolo…> , Donders Center for Neuroscience <https://www.ru.nl/science/dcn/>, Donders Institute for Brain, Cognition and Behaviour <https://www.ru.nl/donders/>., at the Radboud University. <http://www.ru.nl/> This vibrant and multidisciplinary institute studies the organisation and function of neural circuits across scales and techniques, from genes and proteins to behaviour and from in vitro and in vivo experiments to computational modelling. It provides an open and international environment, where young scientists from different backgrounds share a fascination for the interaction between brain structure and function. For postdoctoral researchers, there is a lively community <https://www.ru.nl/donders/talent-education/postdoctoral-researchers/> and specialised support. *We offer* It concerns an employment for 0.8 - 1.0 FTE. - The gross monthly salary amounts to a minimum of €2,960 and a maximum of €4,670 based on a 38-hour working week, depending on previous education and number of years of relevant work experience (salary scale 10). - You will receive 8% holiday allowance and 8.3% end-of-year bonus. - It concerns a temporary employment for 26 months. - You will be able to use our Dual Career and Family Care Services. Our Dual Career and Family Care Officer can assist you with family-related support, help your partner or spouse prepare for the local labour market, provide customized support in their search for employment and help your family settle in Nijmegen. - Working for us means getting extra days off. In case of full-time employment, you can choose between 30 or 41 days of annual leave instead of the legally allotted 20. *Practical information and applying* You can apply until 1 December 2022, exclusively on the website below. Kindly address your application to Fleur Zeldenrust. Please fill in the application form and attach the following documents: - A letter of motivation (max. 2 pages). - Your CV including a publication list. - A copy of a first-authored publication. - Contact details of two academic referees. The first round of interviews will take place on Thursday 8 December. You would preferably begin employment on 1 January 2023. See also: https://www.ru.nl/en/working-at/job-opportunities/postdoctoral-researcher-i… -- Fleur Zeldenrust Assistant Professor Donders Institute for Brain, Cognition and Behaviour Donders Centre for Neuroscience Faculty of Science, Radboud University Heyendaalseweg 135, room HG 00.111 6525 AJ Nijmegen, the Netherlands tel +31 24 36 53195 fleurzeldenrust.nl *Due to my own family/work balance, you may receive emails from me outside of normal working hours. I do not expect a response from you outside of your own working pattern, nor do I expect an immediate response when you are working.*

Nov. 1, 2022

Python Package: Kuramoto model

by Fabrizio Damicelli

Dear Computational Neuroscience Community, I would like to point you to a potentially useful Python Package that might be of interest for your research, especially in the realm dynamical models and synchronization phenomena. The Kuramoto model is used to study a wide range of systems (for a review on its usage in the Neuroscience, see Breakspear et al. 2010, Generative models of cortical oscillations: neurobiological implications of the Kuramoto model) "kuramoto": Python implementation of the Kuramoto model. * Code Repository: https://github.com/fabridamicelli/kuramoto * Easy install with `pip install kuramoto` * Example notebooks: https://github.com/fabridamicelli/kuramoto/tree/master/examples * A super concise intro to the model and its behaviour and further references can be found here: https://github.com/fabridamicelli/kuramoto#kuramoto-model-101 As of today, a few people already trust it and the package registers >10K total downloads, ~500/month (pypi.org) Check it out and any feedback/suggestions/bug reports are more than welcome (simply open an issue: https://github.com/fabridamicelli/kuramoto/issues) All the best, Fabrizio Damicelli

Nov. 1, 2022

Fully funded Phd position in the intersection of neuroscience and AI

by Guozhang Chen

We (the group of Prof. Wolfgang Maass) accept applications for a fully funded Phd position for research in the intersection of neuroscience and AI. This Phd student will work with our team on reverse engineering data-based models for cortical microcircuits and their learning capabilities, as for example in --Analysis of visual processing capabilities and neural coding strategies of a detailed model for laminar cortical microcircuits in mouse V1 (G. Chen, F. Scherr, W. Maass).Science Advances (Nov. 2, 2022), https://www.biorxiv.org/content/10.1101/2021.12.07.471653v3?versioned=t <https://www.biorxiv.org/content/10.1101/2021.12.07.471653v3?versioned=t> --A solution to the learning dilemma for recurrent networks of spiking neurons (Bellec, G., Scherr, F., Subramoney, A., Hajek, E., Salaj, D., Legenstein, R., & Maass, W.) Nature Communications 2020, 11(1), 1-15. In addition, the Phd student will work on the development of brain-inspired architectures and algorithms for AI, like in --Local prediction-learning enables neural networks to plan (C. Stoeckl, W.Maass) https://www.biorxiv.org/content/10.1101/2022.10.17.512572v1 <https://www.biorxiv.org/content/10.1101/2022.10.17.512572v1>, and for highly energy-efficient neuromorphic hardware, as in --A Long Short-Term Memory for AI Applications in Spike-based Neuromorphic Hardware (A Rao, P Plank, A Wild, W Maass), Nature Machine Intelligence 4 (5), 467-479. https://igi-web.tugraz.at/PDF/261.pdf <https://igi-web.tugraz.at/PDF/261.pdf> In order to qualify for this Phd-position you need to have a master degree in computer science or related areas, very good skills in mathematics/theory, and programming experience for GPUs. You should also have an excellent record,demonstrations of your research potential, and be strongly motivated to collaborate with us on understanding “how the brain works”. If you qualify, please send me your CV, transcripts, names of referees, as well as links to your master thesis, papers, and other pertinent documents to email:<maass(a)igi.tugraz.at> Guozhang Chen on behalf of Prof. Dr. Wolfgang Maass Institut fuer Grundlagen der Informationsverarbeitung Technische Universitaet Graz Inffeldgasse 16b , A-8010 Graz, Austria http://www.igi.tugraz.at/maass/Welcome.html <http://www.igi.tugraz.at/maass/Welcome.html>

Oct. 30, 2022

Faculty position in computational neuroscience/machine learning at Stony Brook University

by Giancarlo La Camera

Stony Brook University is currently running a faculty search for a computational neuroscientist. The position will be in the Department of Neurobiology and Behavior and will be filled at the Assistant or Associate Professor level. A competitive recruitment package will include state-funded salary and benefits, newly renovated lab space and competitive start-up funding. The ideal candidate is an outstanding scientist in theoretical neuroscience, neuro-AI or in statistics/machine learning approaches to investigate topical questions in neuroscience. Candidates from diverse and underrepresented backgrounds are especially encouraged to apply. The successful candidate will join a vibrant, collaborative and diverse group of neuroscientists at Stony Brook University and its affiliated institutions, and will actively contribute to the Department’s mission in research as well as undergraduate, graduate and medical student education. Applications should be submitted at the following URL: https://apply.interfolio.com/111422. Review of applications will begin by Nov 15th, 2022 and continue until the position is filled. -- Giancarlo La Camera <https://www.stonybrook.edu/commcms/neurobiology/people/faculty_Giancarlo_La…>, PhD Associate Professor of Neurobiology and Behavior Stony Brook University

Oct. 29, 2022

PhD program in Systems/Computational/Cognitive neuroscience at U of Oregon

by Luca Mazzucato

We are accepting applications to the Interdepartmental Neuroscience Graduate Program (INGP) <https://ion.uoregon.edu/training-programs/graduate-fellows> at the Institute of Neuroscience, a robust graduate training in Neuroscience across departments at the University of Oregon. The goal of INGP is to train students to think independently, creatively, and critically about problems in neuroscience. We aim to train students in a variety of skills that will prepare students for successful research, teaching, policy, or industry career. Students can enter INGP through the departments of biology, human physiology, psychology, mathematics, physics, computer and information science, and the Knight Campus, depending on their interests. The majority of our students enter through the department of biology, which allows students to complete three rotations during their first year, in order to help students identify a laboratory in which to do their dissertation research. Students who enter through psychology, physiology, and mathematics begin in their dissertation labs immediately. Regardless of how students enter INGP, they are provided with a set of mentors at the peer and faculty levels. All graduate students are required to teach for at least one academic year during their graduate career; at least a portion of this teaching takes place the first year. *Training Program* Students typically fall into a defined training program, however, training can be tailored to fit a student’s need and research interest. We offer two training tracks: Systems, Cognitive and Theoretical - Courses: cellular neuroscience, systems neuroscience, cognitive neuroscience, computational neuroscience, combinatorics, stochastic processes, neural networks. - Journal clubs: systems neuroscience, theoretical neuroscience. - Meetings: neural circuits and behavior, zebrafish groupie, joint theory lab meetings.

Oct. 28, 2022

Doctoral studies in Computational/Theoretical Neuroscience at NYU

by Eero Simoncelli

New York University is home to a thriving interdisciplinary community of researchers using computational and theoretical approaches in neuroscience. We are interested in exceptional PhD candidates with strong quantitative training (e.g., physics, mathematics, engineering) coupled with a clear interest in scientific study of the brain. A listing of faculty, sorted by their primary departmental affiliation, is given below. Doctoral programs are flexible, allowing students to pursue research across departmental boundaries. Nevertheless, admissions are handled separately by each department, and students interested in pursuing graduate studies should submit an application to the program that best fits their goals and interests. Center for Neural Science (CNS), Graduate School of Arts & Sciences (deadline: 1 December) [https://neuroscience.nyu.edu/program.html, and https://as.nyu.edu/cns/DoctoralProgram.html] * SueYeon Chung - NeuroAI and geometry. * Andre A. Fenton - Molecular, neural, behavioral, and computational aspects of memory. * Paul W. Glimcher - Decision-making in humans and animals. Neuroeconomics. * David Heeger (also in Psychology) - Computational neuroscience, vision, attention. * Roozbeh Kiani - Vision and decision-making. * Wei Ji Ma (also in Psychology) - Perception, working memory, and decision-making. * Tony Movshon - Vision and visual development. * Bijan Pesaran - Neuronal dynamics and decision-making. * Alex Reyes - Functional interactions of neurons in a network. * John Rinzel (also in Mathematics) - Biophysical mechanisms and theory of neural computation. * Cristina Savin (also in the Center for Data Science) - Computational models of learning and memory, machine learning. * Robert Shapley - Visual physiology and perception. * Eero Simoncelli - Computational vision and audition. * Xiao-Jing Wang - Computational neuroscience, decision-making and working memory, neural circuits. * Alex Williams - Statistical analysis of neural data. Neuroscience Institute, School of Medicine (deadline: 1 December) [https://neuroscience.nyu.edu/program.html, and https://med.nyu.edu/departments-institutes/neuroscience/] * Gyorgy Buzsaki - Rhythms in neural networks. * Dmitri Chklovskii (also in the Simons Foundation) - Neural computation and connectomics. * Biyu He - Large-scale brain dynamics underlying human cognition. * Dmitry Rinberg - Sensory information processing in the behaving animal. * Shy Shoham - Methods for controlling, imaging, and analyzing neural systems. * Mario Svirsky - Auditory neural prostheses; experimental/computational studies of speech production/perception. Psychology, Cognition & Perception program (deadline: 1 December) [http://as.nyu.edu/psychology/graduate/phd-cognition-perception.html] * Todd Gureckis - Memory, learning, and decision processes. * Brenden Lake (also in the Center for Data Science) - Computational modeling of cognition, deep learning. * Michael Landy - Computational approaches to vision. * Laurence Maloney - Mathematical approaches to psychology and neuroscience. * Denis Pelli - Visual object recognition. * Jonathan Winawer - Visual perception and memory. Mathematics (deadline: 18 December) [https://gsas.nyu.edu/admissions/arc/programs/mathematics.html] * David McLaughlin - Nonlinear wave equations, computational visual neuroscience. * Aaditya Rangan - Computational neurobiology, numerical analysis. * Charles Peskin - Mathematical biology. * Daniel Tranchina - Information processing in the retina. * Lai-Sang Young - Dynamical systems, statistical physics, computational modeling and theoretical neuroscience. Data Science (deadline: 12 December) [https://cds.nyu.edu/phd-program/] * Joan Bruna (also in Computer Science) - Machine learning, signal/image processing. * Kyungyun Cho (also in Computer Science) - Machine learning, natural language processing. * Carlos Fernandez-Granda (also in Mathematics) - Optimization methods for medical imaging, neuroscience, computer vision. * Grace Lindsay (also in Psychology) - Machine learning models of the brain/mind. * Mengye Ren (also in Computer Science) - Machine learning, computer vision, representation learning. Physics (deadline: 30 December) [https://as.nyu.edu/physics/programs/graduate.html] * Marc Gershow - Perception, decision-making, and learning in neural circuits. Computer Science (deadline: 12 December) [http://www.cs.nyu.edu/home/phd/] * Davi Geiger - Computational vision and learning. * Yann LeCun - Machine learning, computer vision, robotics, computational neuroscience. Economics (deadline: 18 December) [https://as.nyu.edu/econ/graduate/phd.html] * Andrew Caplin - Economic theory, neurobiology of decision. * Andrew Schotter - Experimental economics, game theory, neurobiology of decision.

Oct. 28, 2022

EPFL - Faculty position at the intersection of computational and life sciences

by Mathis Alexander

Dear colleagues, The Schools of Computer and Communication Sciences (IC) and Life Sciences (SV) at EPFL invite applications for a faculty position at the intersection of computational and life sciences. We seek candidates who use machine learning and/or other original computational approaches to solve challenges in life sciences. The appointment could be either at the assistant professor or tenured level. Candidates must have an outstanding academic record, a compelling vision, demonstrated impact, and a strong commitment to excellence in teaching and mentoring students. EPFL attracts top students from all over the world and offers competitive salaries, generous research funding and excellent research infrastructure. Switzerland has an exceptionally high human development index and consistently ranks highly in quality of life, economic competitiveness, and innovation. Applicants must submit a cover letter, a curriculum vitae including a publication list, brief statements of research and teaching interests, and contact information of at least 3 references (5 for tenured positions) who are ready to supply a letter upon request. To apply, go to: https://facultyrecruiting.epfl.ch/position/40599570 Screening will start on December 1, 2022, but applications submitted after this date will also be considered. Questions can be addressed to: Profs. George Candea and Matteo Dal Peraro Co-chairs of the Faculty Recruiting Committee E-mail: recruiting.icsv(a)epfl.ch<mailto:recruiting.icsv@epfl.ch> For more information on our schools, please visit https://sv.epfl.c<https://sv.epfl.ch/>h<https://sv.epfl.ch/> and https://ic.epfl.ch<https://ic.epfl.ch/> EPFL is an equal opportunity employer and family-friendly university. It is committed to increasing the diversity of its faculty. It strongly encourages women to apply.

Oct. 26, 2022

EPFL AI4Science Postdoctoral Fellowship: Deadline Oct 31st.

by Mathis Alexander

Dear colleagues, The EPFL AI4Science Fellowship gives outstanding and highly motivated young researchers the chance to collaborate with a broad range of EPFL faculty on accelerating the use and furthering the understanding of machine learning methods in the scientific discovery process. The Fellowship focuses on excellence and interdisciplinarity. Therefore fellows will work with several laboratories at EPFL and will be granted ample freedom to develop their own research agenda. We expect fellows to contribute to a vibrant and multidisciplinary community of researchers passionate about the transformation of science with new data-driven methods. Initial appointments will be made for one year, with the expectation of renewal for at least a second year, upon agreement of the AI4Science scientific committee. The salary follows the generous scale for EPFL post-doctoral researchers. Starting date is flexible. Application deadline: October 31st 2022 More details are available at https://www.epfl.ch/research/domains/cis/epfl-ai4science/call-for-fellows/ Best wishes, Alexander Mathis [cid:clip_image001.png] Alexander Mathis Tenure Track Assistant Professor people/alexander.mathis mathislab.org<http://mathislab.org>

Oct. 26, 2022

Neuroscience Gateway (NSG) Virtual workshop as a part of Society for Neuroscience Annual meeting, San Diego Nov 2022

by Majumdar, Amitava

Hello, We are happy to announce that the Neuroscience Gateway (NSG) will host a Virtual workshop as a part of the Society for Neuroscience Annual Meeting in San Diego, November 2022. Date and time of the virtual NSG workshop: November 12, 8:30 AM - 12:30 PM USA Pacific Time Zone. We have distinguished speakers who are early career researchers to senior researchers. They will present their work, many of which utilize NSG or are neuroscience software projects and are available on NSG for neuroscientists to use on high performance computing resources. Registration is free but required by November 9th. Please register if you plan to attend. Title of the virtual workshop: Neuroscience Gateway - Enabling Large Scale Modeling, Data Processing and Dissemination of Software Details about the list of speakers, abstract of talks and registration are available here: http://www.nsgportal.org/NSG_HPAC_SfN2022_Wkshop.web.htm Thank you. Regards. NSG Team

Oct. 26, 2022

Faculty positions at Washington University in St Louis

by Geoffrey Goodhill

Electrical & Systems Engineering: Tenure-Track Faculty Positions Washington University in St Louis https://apply.interfolio.com/114838 The Electrical and Systems Engineering department at Washington University in St. Louis invites applications for multiple tenure-track faculty positions with an effective start date on or after July 1, 2023. Candidates should have earned a Ph.D. or equivalent degree in electrical engineering, systems engineering, computer engineering or a closely related discipline. Washington University is a highly-selective national research university with a strong tradition of research excellence. The University’s strategic plan, released in 2022, seeks growth of top-tier research, scholarship, and creative practice with an emphasis on transdisciplinary and cross-school research. Included in this plan are foci related to applications in medicine, public health, infrastructure, and addressing pressing societal challenges. Accordingly, we seek both junior and senior applicants who will contribute to research efforts across ESE, including in several emphasis areas: information and decision systems, including autonomous systems and human-machine interaction network science, including social systems and large-scale data analysis imaging science, including signal processing and computational imaging engineering brain science, including theory, models and methods for brain-inspired computation and for measuring and manipulating neural circuits quantum sensing and imaging, including science and technology for detection and estimation beyond classical physics. Candidates interested in this area are encouraged to note University-wide growth in quantum technology at https://quantumleaps.wustl.edu/. Candidates may apply to the quantum cluster search in addition to the ESE search. Equity, diversity and inclusion are core values at Washington University, and candidates will need to demonstrate the ability to create inclusive classrooms and environments in which a diverse array of students can learn and thrive. Candidates who will contribute to the diversity of the department are strongly encouraged to apply. Successful applicants will have a primary appointment in the department of Electrical and Systems Engineering (ese.wustl.edu) with the possibility of joint appointments in other departments. The faculty member will be expected to teach undergraduate and graduate courses in electrical and systems engineering, participate in university service, and establish a thriving externally-funded research program. Faculty positions are open for all levels. Applications should include: (1) a cover letter that identifies the candidate’s three most significant publications and describes their interest in the position; (2) a curriculum vitae; (3) a research plan for the next five years that should not exceed three pages, and should highlight the problem(s) or set of questions to be investigated, the envisioned approach, a mentoring strategy, and the proposed funding sources; (4) a statement of teaching interests and philosophy; (5) a statement describing contributions to and future plans for enhancing equity, diversity and inclusion; and (6) a list of at least three references to (https://apply.interfolio.com/114838) Priority will be given to completed applications (including submitted reference letters) received before December 15, 2022. However, applications will be accepted at any time and will be considered until the positions are filled. Professor Geoffrey J Goodhill Departments of Neuroscience, Developmental Biology, Biomedical Engineering, Computer Science and Engineering, and Electrical and Systems Engineering Washington University in St Louis St. Louis, MO 63110 g.goodhill(a)wustl.edu https://neuroscience.wustl.edu/people/geoffrey-goodhill-phd

Oct. 26, 2022

Postdoc positions at Harvard

by Cengiz Pehlevan

Dear colleagues, I want to point to a few postdoctoral fellow positions at Harvard for candidates in computational/theoretical neuroscience: 1. The George F. Carrier Postdoctoral Fellowship: https://academicpositions.harvard.edu/postings/11642 <https://academicpositions.harvard.edu/postings/11642> 2. Postdoctoral Fellow in Theoretical Neuroscience and/or Theory of Neural Computation: https://academicpositions.harvard.edu/postings/11671 <https://academicpositions.harvard.edu/postings/11671> 3. The Harvard Data Science Postdoctoral Fellows: https://datascience.harvard.edu/data-science-postdoctoral-fellows <https://datascience.harvard.edu/data-science-postdoctoral-fellows> 4. Postdoctoral fellow in the Foundations of Machine Learning: https://academicpositions.harvard.edu/postings/11762 <https://academicpositions.harvard.edu/postings/11762> Please feel free to write to me with questions. Best wishes, Cengiz

Oct. 25, 2022

INCF/OCNS SoftwareWG Dev session: Denis Alevi: Brian2CUDA: November 3, 2022, 1600 UTC over Zoom

by Ankur Sinha

Dear all, Please join us for our next dev session on Brian2CUDA: https://ocns.github.io/SoftwareWG/2022/10/18/dev-session-denis-alevi-brian2… Denis Alevi will introduce the Brian2CUDA tool in this session, and discuss its development. We will also have a discussion on GPU based simulation in neuroscience after the presentation. - Date: Thursday, November 3, 2022, 1600 UTC (Click here to see your local time: https://www.timeanddate.com/worldclock/fixedtime.html?msg=Dev+session%3A+De…) - Location (Zoom, login required): https://ucl.zoom.us/j/95692778384?pwd=VldIQ3hPTU1zczNpYjQxSSt4Z25xdz09 The abstract for the talk is below: Graphics processing units (GPUs) are widely available and have been used with great success to accelerate scientific computing in the last decade. These advances, however, are often not available to researchers interested in simulating spiking neural networks, but lacking the technical knowledge to write the necessary low-level code. Writing low-level code is not necessary when using the popular Brian simulator, which provides a framework to generate efficient CPU code from high-level model definitions in Python. Here, we present Brian2CUDA, an open-source software that extends the Brian simulator with a GPU backend. Our implementation generates efficient code for the numerical integration of neuronal states and for the propagation of synaptic events on GPUs, making use of their massively parallel arithmetic capabilities. We benchmark the performance improvements of our software for several model types and find that it can accelerate simulations by up to three orders of magnitude compared to Brian’s CPU backend. Currently, Brian2CUDA is the only package that supports Brian’s full feature set on GPUs, including arbitrary neuron and synapse models, plasticity rules, and heterogeneous delays. When comparing its performance with Brian2GeNN, another GPU-based backend for the Brian simulator with fewer features, we find that Brian2CUDA gives comparable speedups, while being typically slower for small and faster for large networks. By combining the flexibility of the Brian simulator with the simulation speed of GPUs, Brian2CUDA enables researchers to efficiently simulate spiking neural networks with minimal effort and thereby makes the advancements of GPU computing available to a larger audience of neuroscientists. References: - Publication: Brian2CUDA: flexible and efficient simulation of spiking neural network models on GPUs: https://www.frontiersin.org/articles/10.3389/fninf.2022.883700/abstract - Documentation: https://brian2cuda.readthedocs.io/en/latest/ - Source code: https://github.com/brian-team/brian2cuda We hope to see you there. On behalf of the INCF/OCNS Software working group, -- Thanks, Regards, Ankur Sinha (He / Him / His) | https://ankursinha.in Research Fellow at the Silver Lab, University College London | http://silverlab.org/ Free/Open source community volunteer at the NeuroFedora project | https://neuro.fedoraproject.org Time zone: Europe/London

Oct. 25, 2022

Upcoming Faculty Opening in Theoretical Neuroscience

by Lin, I-Chun

The Gatsby Computational Neuroscience Unit intends to recruit one Principal Investigator in Theoretical Neuroscience at any academic rank (UCL grades 8 to 10; Lecturer/Group Leader-level to Professorial). We seek candidates who focus on the mathematical underpinnings of adaptive intelligent behaviour in animals or develop mathematical tools and models to understand how neural circuits and systems function. We are particularly interested in researchers who are well placed to take advantage of collaborations within the unit; with our sister institute, the Sainsbury Wellcome Centre for Neural Circuits and Behaviour; and elsewhere at UCL. Gatsby faculty members pursue and develop their own lines of research within the broad remit of the unit’s focus on the mathematical principles of learning, perception and action in brains and machines. For an overview of our current work, please see www.ucl.ac.uk/gatsby/research-0<http://www.ucl.ac.uk/gatsby/research-0>. We maintain a singular and cohesive research culture, emphasising interaction and collaboration both within the unit and beyond. Our faculty members teach and supervise at graduate level, primarily as part of the unit’s international PhD programme. We encourage informal enquiries about this upcoming position. Interest from women and those from an ethnic minority background is particularly welcome, as they are under-represented within UCL at these levels. Please direct enquiries to I-Chun Lin (Scientific Programme Manager, i.lin at ucl.ac.uk). We will be best placed to respond to enquiries that include a short CV and a brief sketch of research interests. www.ucl.ac.uk/gatsby/vacancies<http://www.ucl.ac.uk/gatsby/vacancies> -- I-Chun Lin, PhD Scientific Programme Manager Gatsby Computational Neuroscience Unit, UCL www.ucl.ac.uk/gatsby<http://www.ucl.ac.uk/gatsby> | @GatsbyUCL<https://twitter.com/GatsbyUCL>

Oct. 25, 2022

Three 3-year positions in teaching (general AI) in Groningen, NL

by Herbert Jaeger

The AI Department in the Bernoulli Institute for Mathematics, Computer Science and Artificial Intelligence (https://www.rug.nl/research/bernoulli/) at the University of Groningen (https://www.rug.nl/) offers three 3-year positions for teaching in general AI, with competitive salaries, in a most welcoming and high-ranked working environment (top-100 university, https://www.rug.nl/about-ug/profile/facts-and-figures/position-internationa…) The application deadline is November 7, 2022. Formal prerequisites are a PhD degree; outstanding holders of a MSc degree will also be considered. Details can be found at https://www.rug.nl/about-ug/work-with-us/job-opportunities/?details=00347-0… - Herbert Jaeger -- Dr. Herbert Jaeger Professor of Computing in Cognitive Materials Rijksuniversiteit Groningen Faculty of Science and Engineering - CogniGron Bernoulliborg Nijenborgh 9, 9747 AG Groningen office: Bernoulliborg 402 phone: +31 (0) 631 921588 COVID home office phone: +49 (0) 4209 930403 web: www.ai.rug.nl/minds/

Oct. 24, 2022

PhD openings in computational neuroscience, cognitive science, and Mixed Reality

by Sergio Solinas

The Theoretical and Computational Neuroscience Laboratory of Paolo Enrico and Sergio Solinas invites applications for a *Doctoral Student* position at UNISS, University of Sassari, ITALY SARDINIA. Research questions span a range of topics in theoretical/computational neuroscience, cognitive science, EEG recordings involving data analysis, brain function theory, neural network simulations using NEURON or NEST and neural activity visualization using mixed reality approaches. This research project is inscribed within the EBRAINS-ITALY PNRR funding schema for Research Infrastructures. Candidates with backgrounds in one or more than one of the following fields are welcome to apply: mathematics, statistics, artificial intelligence, physics, computer science, engineering, biology, and psychology. Experience with data analysis, proficiency with numerical methods, and familiarity with neuroscience topics and mathematical and statistical methods are desirable. Equally desirable is a curiosity about brain function, a spirit of intellectual adventure, a good social attitude, and sharing and reuse of knowledge. The application will open soon. *Please write to both enrico(a)uniss.it <enrico(a)uniss.it> & smgsolinas(a)uniss.it <smgsolinas(a)uniss.it> for details and updates.* If you wish to apply, please send the following information in one single PDF: 1. a short letter of motivation; 2. statement of research interests, limited to two pages; 3. curriculum vitæ. In all email correspondence, please include the mention “APPLICATION-PHD” in the subject header. The University of Sassari <https://en.uniss.it/> was funded in 1562 and is an active research <https://en.uniss.it/research/research-centres> institution. The city of Sassari <http://turismosassari.it/en/explore/sassari-curiosities/item/535-sassari-on…>a located in the north of Sardinia <https://www.sardegnaturismo.it/en>. The climate <https://weatherspark.com/y/58783/Average-Weather-in-Sassari-Italy-Year-Round> is among the best you can find in Europe. The life cost is relatively cheap if compared to Italy's mainland. The island of Sardinia has national and international connection flights from its three airports: Alghero <https://www.aeroportodialghero.it/>, Olbia <https://www.geasar.it/>, and Cagliari <http://www.sogaer.it/it>.

Oct. 24, 2022

Python Package: SER model

by Fabrizio Damicelli

Dear Computational Neuroscience Community, I would like to point you to a potentially useful Python Package that might be of interest for your research, especially in the realm dynamical models and spreading dynamics on networks. "ser": S(usceptible)E(xcited)R(efractory) model on graphs, a dynamical model of spreading excitations. Code Repository: https://github.com/fabridamicelli/ser As of today, a few people already trust it and the package registers >11K total downloads, ~500/month (pypi.org) and has been used already in a few research projects. A few interesting features: - It is light-weight and fast (`numba` accelerated), i.e. many experiments can be simply run on a laptop - Installation and getting started is easy: `pip install ser` - Example notebooks: https://github.com/fabridamicelli/ser/blob/main/examples The SER model is a classical cellular automaton model used to study all sorts of complex systems, ranging from forest fire dynamics to self-organized criticality in the brain. Despite of the simplicity of its setup, it is capable of generating complex emergent dynamics with absolutely non-trivial higher-order statistical properties. To learn more about the SER model and its applications, you might want to check out these references: - Messe et al. (2018). Toward a theory of coactivation patterns in excitable neural networks. doi.org/10.1371/journal.pcbi.1006084 - Haimovici et al. (2013). Brain Organization into Resting State Networks Emerges at Criticality on a Model of the Human Connectome. doi.org/10.1103/PhysRevLett.110.178101 - Damicelli et al. (2019). Topological reinforcement as a principle of modularity emergence in brain networks. doi.org/10.1162/netn_a_00085 Check it out and any feedback/suggestions/bug reports are more than welcome (simply open an issue: https://github.com/fabridamicelli/ser/issues) All the best, Fabrizio Damicelli

Oct. 24, 2022

Funded PhD Scholarship in Developmental Neurorobotics at Sheffield Hallam University (UK)

by Di Nuovo, Alessandro

About the Project This scholarship will support the PhD candidate to carry out frontier research in Developmental Neurorobotics, a combination of Neuromorphic Computing and Cognitive Developmental Robotics. The PhD candidate will work with the Professor Alessandro Di Nuovo and his team, who have been awarded funding by the EPSRC for his research in the field. We are looking for an outstanding student to work with the team of a new EPSRC project. The research will pioneer the new developmental neuromorphic paradigm, which will be a synergic combination that will go beyond the limitations of the individual paradigms: neuromorphic computing will provide efficient brain-like resources able to process a more accurate representation of the real world, meanwhile developmental robotics will deliver the missing learning mechanisms for complex applications of neuromorphic spiking neural networks. The short-term objective is to demonstrate feasibility and lay the foundation of a biologically plausible framework to simulate the human-like learning process of numerical and abstract cognition, a fundamental characteristic of human intelligence. The team long-term goal is to create an artificial mind for robots that 'grows up' like a child's brain. This will be underpinned by neuromorphic computing which emulates the deep-lying architecture of the brain and will allow it to interpret and adapt to situations. As well as enabling the creation of robots with a human-like ability to reason, behave and interact the creation of an artificial mind will boost research in life sciences disciplines such as neuroscience by allowing researchers to run biologically realistic simulations to test theories. By simulating information on the inner workings of the brain that could not otherwise be detected, it could enhance our understanding of neurodevelopmental and learning disorders and lead to new treatments. Eligibility Information on entry requirements can be found here<https://www.findaphd.com/common/clickCount.aspx?theid=147190&type=184&DID=6…> The ideal candidate should have a Masters degree in Neuromorphic Computing, Computational Neuroscience, Machine Learning, or closely related disciplines in AI and Robotics, excellent programming skills and experience in interdisciplinary research. How to apply Your application should be emailed to industry-innovation-admissions(a)shu.ac.uk<javascript:void(0)> by the closing date of 31 October 2022. Any interested candidates must contact the lead academic, Prof. Alessandro Di Nuovo, a.dinuovo(a)shu.ac.uk<javascript:void(0)>, to discuss your application. The application should explain how the candidate knowledge, skills and experience are relevant to the project short and long-term objectives. Start date for studentship: 01/02/2023 Interviews are scheduled for: 11/11/2022 For information on how to apply please visit https://www.shu.ac.uk/research/degrees<https://www.findaphd.com/common/clickCount.aspx?theid=147190&type=184&DID=6…> ________________________________ Funding Notes The PhD studentship provides tuition fees at UK level and a maintenance bursary at the UK Research Councils' national minimum doctoral stipend rate (£17,668 for 2022/23). The scholarship is available for three years of full-time. ________________________________ References Di Nuovo, A., McClelland (2019). Developing the knowledge of number digits in a child-like robot. Nature Machine Intelligence, 1(12), 594-605. Di Nuovo, A., & Jay, T. (2019). Development of numerical cognition in children and artificial systems: a review of the current knowledge and proposals for multi-disciplinary research. Cognitive Computation and Systems, 1(1), 2-11. Di Nuovo, A., & Cangelosi, A. (2021). Abstract Concept Learning in Cognitive Robots. Current Robotics Reports, 2(1), 1-8. Roy, Jaiswal, Panda, (2019). Towards spike-based machine intelligence with neuromorphic computing. Nature, 575(7784), 607-617. Krichmar (2018). Neurorobotics-A Thriving Community and a Promising Pathway Toward Intelligent Cognitive Robots. Frontiers in Neurorobotics, Vol. 12, p. 42. Furber (2016). Large-scale neuromorphic computing systems. Journal of Neural Engineering, 13(5), 51001. Sengupta, et al. (2019). Going deeper in spiking neural networks: VGG and residual architectures. Frontiers in Neuroscience, 13, 95. Quax, D'Asaro,van Gerven, (2020). Adaptive time scales in recurrent neural networks. Scientific Reports, 10(1), 11360. Alessandro Di Nuovo, PhD Professor of Machine Intelligence College of Business, Technology and Engineering Sheffield Hallam University, United Kingdom Email: a.dinuovo(a)shu.ac.uk<mailto:a.dinuovo@shu.ac.uk>

Oct. 23, 2022

Faculty position in computational neuroscience/machine learning at Stony Brook University

by Giancarlo La Camera

Stony Brook University is currently running a faculty search for a computational neuroscientist. The position will be in the Department of Neurobiology and Behavior and will be filled at the Assistant or Associate Professor level. A competitive recruitment package will include state-funded salary and benefits, newly renovated lab space and competitive start-up funding. The ideal candidate is an outstanding scientist in theoretical neuroscience, neuro-AI or in statistics/machine learning approaches to investigate topical questions in neuroscience. Candidates from diverse and underrepresented backgrounds are especially encouraged to apply. The successful candidate will join a vibrant, collaborative and diverse group of neuroscientists at Stony Brook University and its affiliated institutions, and will actively contribute to the Department’s mission in research as well as undergraduate, graduate and medical student education. Applications should be submitted at the following URL: https://apply.interfolio.com/111422. Review of applications will begin by Nov 15th, 2022 and continue until the position is filled. -- Giancarlo La Camera <https://www.stonybrook.edu/commcms/neurobiology/people/faculty_Giancarlo_La…>, PhD Associate Professor of Neurobiology and Behavior Director, Center for Neural Circuit Dynamics <https://www.stonybrook.edu/cncd/> Stony Brook University

Oct. 22, 2022

Brain Criticality 2022 Hybrid Meeting - Deadline October 23rd for virtual registration

by BATTAGLIA Demian

*** LAST DAYS TO REGISTER FOR VIRTUAL PARTICIPATION AND SUBMIT VIRTUAL POSTER ABSTRACT*** We are happy to announce that the next conference on “Criticality in Neural Systems 2022: Collective Behavior, Synchronization, and Complexity” will take place at the Porter Neuroscience Research Center (National Institute of Health, Bethesda, MD, USA) from Nov. 7 – 9th, 2022 (shortly before the SFN Meeting, San Diego) The conference will be held in a hybrid format, both in presence at NIH Bethesda and via Zoom. Presentations by the invited speakers, with ample time for discussions, including with online participants, will be complemented by a poster session (in presence and online) and by a selection of contributed spotlight presentations. Keeping line with previous editions of the Brain Criticality conferences series, this conference will present the latest experimental and theoretical advancements in the study of critical phenomena in brain activity and their functional relevance. While preserving emphasis on criticality, this edition will feature as well communications about general collective behavior and dynamic complexity in the brain (and other biological systems). REGISTRATION IS OPEN AND FREE ON https://braincriticality.org/ Deadline for virtual registration: October 23rd Deadline for abstract submission (with spotlight oral preference): October 9th Deadline for abstract submission (poster only): October 23rd Confirmed Speakers Ad Aertsen (Freiburg, Germany) Dante Chialvo (Buenos Aires, Argentina) Karin Dahmen (Urbana-Champaign, IL) Irene Giardina (Rome, Italy) Michelle Girvan (College Park, MD) Moritz Helias (Jülich, Germany) Henrik Jensen (London, UK) Arvind Kumar (Stockholm, Sweden) Anna Levina (Tübingen, Germany) Klaus Linkenkaer-Hansen (Amsterdam, the Netherlands) Simona Olmi (Sesto Fiorentino, Italy) Orit Peleg (Boulder, CO) Pawel Romanczuk (Berlin, Germany) Woodrow Shew (Fayetteville, AR) James Shine (Sidney, Australia) Samir Suweis (Padova, Italy) Enzo Tagliazucchi (Buenos Aires, Argentina) Bradley Voytek (La Jolla, CA) Ralf Wessel (St Louis, MO) Changsong Zhou (Hong Kong, Popular Republic of China) Organizers Dietmar Plenz (Bethesda, MD) Lucilla de Arcangelis (Caserta, Italy) Miguel Angel Munoz (Granada, Spain) Mauro Copelli (Recife, Brazil) Demian Battaglia (Marseille & Strasbourg, France) For more information visit our website https://braincriticality.org/ or contact us over email.

Oct. 21, 2022

Computational Neuroscience and Computational Neurology

by André Fabio Kohn

Computational Neuroscience has shown a tremendous development in the last decades, and we think it is ripe to contribute substantially to computational neurology. In selected cases, large-scale and multi-scale models encompassing sensory receptors, neurons, muscles, bones, joints and other structures can be modeled to represent different degrees of dysfunction of a specific subsystem associated with a given neurological pathology. The model simulations can shed light to early signs of the disease (earlier detection than with current diagnosis techniques) and provide estimates of the progression of disease as a function of different treatment courses. We show in a recent paper published in the Journal of Neural Engineering [ https://iopscience.iop.org/article/10.1088/1741-2552/ac91f8/pdf] how neuropathies associated with Guillain-Barré Syndrome can affect functional aspects of the control of foot movement in a controlled setting, which is suitable for clinical evaluation. Muscle electrical activity also was shown to be a useful quantifier of the demyelination process. The multi-scale model encompasses neuronal ionic channels of spinal cord neurons up to a model of the foot and its muscles acting around the ankle joint when controlling force and foot position in a controlled lab experiment. The extension of such an approach to other peripheral nervous disorders or to spinal cord related pathologies (e.g., motoneuron diseases) seems quite feasible, provided that parameter data from patients are available to realize a biologically compatible model. Andre Fabio Kohn, Ph.D., Professor of Biomedical Engineering, University of Sao Paulo

Oct. 20, 2022

Postdoc positions in nanoscale modeling of neurons, synapses or astrocytes

by Erik De Schutter

The Computational Neuroscience unit at the Okinawa Institute of Science and Technology (https://www.oist.jp <https://www.oist.jp/>), Japan has been spearheading nanoscale stochastic modeling of astrocytes, neurons and synapses (https://groups.oist.jp/cnu <https://groups.oist.jp/cnu>). We have two postdoctoral positions open and Japan is issuing visa for such positions. The selected candidates will build on previous work in modeling of cerebellar or hippocampal neurons, synapses or astrocytes, neurons and synapses using our STEPS software (http://steps.sourceforge.net <http://steps.sourceforge.net/>), research project depending on experience and interests of the candidate. Previous experience in neural modeling required, preferentially as subject of PhD. Competences: A recent PhD in a relevant discipline such as neuroscience, molecular biology, biophysics or biochemistry. Experience in programming in Python. Fluent English conversation and writing skills. Benefits / Offer: A competitive salary and relocation package are offered with an initial 2 year contract. This an ideal position to gain experience in a prominent computational neuroscience lab and take part in our international collaborations. Please contact Prof. Erik De Schutter (erik(a)oist.jp <mailto:erik@oist.jp>) for inquiries.

Oct. 20, 2022

SNUFA22 spiking neural network workshop program (Nov 9-10)

by Goodman, Daniel F M

We are delighted to announce the finalised program for the SNUFA22 spiking neural network workshop. It's free to attend but you do need to register in advance: http://snufa.net/2022/ 9-10 November 2022, European afternoons. (Subscribe to the Google Calendar<https://calendar.google.com/calendar/u/0?cid=OTYzMGJmOWIyZmJjZjNmNjE0ZDMzN2…>.) Invited speakers. * Charlotte Frenkel<https://chfrenkel.github.io/> (TU Delft) * Priya Panda<https://intelligentcomputinglab.yale.edu/> (Yale) * Yiota Poirazi<http://dendrites.gr/> (Institute of Molecular Biology and Biotechnology IMBB) * Yonghong Tian<https://www.pkuml.org/> (Peking University) Contributed talks: Thomas Limbacher, Ozan Özdenizci, Robert Legenstein (TU Graz) Memory-enriched computation and learning in spiking neural networks through Hebbian plasticity M. Nardin, J. W. Phillips, W. F. Podlaski, S. W. Keemink (IST Austria) Nonlinear computations in spiking neural networks through multiplicative synapses A. Subramoney, K. K. Nazeer, M. Schöne, C. Mayr, D. Kappel (University of Bochum) Beyond Biologically Plausible Spiking Networks for Neuromorphic Computing A. Galloni, A. Peddada, A. Milstein (Rutgers) Behavioral Timescale Synaptic Plasticity (BTSP) for biologically plausible credit assignment across multiple layers via top-down gating of dendritic plasticity W. F. Podlaski, C. K. Machens (Champalimaud) Universal function approximation in balanced spiking networks through convex-concave boundary composition B. Yin, F. Corradi, and S. M. Bohte (CWI) Training Dynamic Spiking Neural Network via Forward Propagation Through Time Z. Liao, D. Hadjiabadi, S. Terada, I. Soltesz, A. Losonczy (Columbia) A biologically plausible inhibitory plasticity rule for world-model learning in SNNs C. B. Currin, K. Stecher, C. Pfeffer, G. Novarino, and T. P. Vogels (IST Austria) Bridging the gap between artificial models and cortical circuits Plus around 30 posters. Many thanks! Dan Goodman, Friedemann Zenke, Katie Schuman, Tim Masquelier

Oct. 19, 2022

PhD openings in computational neuroscience, cognitive science, machine learning

by Rava A. da Silveira

*PhD openings in computational neuroscience, cognitive science, and interfaces with machine learning* The lab of Rava Azeredo da Silveira invites applications for *Doctoral Student* positions at IOB, University of Basel. Research questions will be chosen from a range of topics in theoretical/computational neuroscience and cognitive science, involving either data analysis or theory, and drawing on recent machine learning approaches. Candidates with backgrounds in mathematics, statistics, artificial intelligence, physics, computer science, engineering, biology, and psychology are welcome. Experience with data analysis and proficiency with numerical methods, in addition to familiarity with neuroscience topics and mathematical and statistical methods, are desirable. Equally desirable are a spirit of intellectual adventure, eagerness, and drive. The positions will come with highly competitive work conditions and salaries. For details, see https://www.silveira-lab.com/openings. *Application deadline:* For full consideration, please apply by 15 November 2020. *How to apply:* Please send the following information *in one single PDF, to * *silveira(a)iob.ch* <silveira(a)iob.ch>*:* 1. letter of motivation; 2. statement of research interests, limited to two pages; 3. curriculum vitæ. In all email correspondence, please include the mention “APPLICATION-PHD” in the subject header, otherwise the application will *not* be considered. Please also arrange for three letters of recommendations to be sent to the same email address.

Oct. 18, 2022

Postdoc openings in computational neuroscience, cognitive science, machine learning

by Rava A. da Silveira

*Postdoctoral openings in computational neuroscience, cognitive science, and interfaces with machine learning* The lab of Rava Azeredo da Silveira invites applications for *Postdoctoral Researcher* positions at IOB, University of Basel. Research questions will be chosen from a range of topics in theoretical/computational neuroscience and cognitive science, involving either data analysis or theory, and drawing on recent machine learning approaches. Candidates with backgrounds in mathematics, statistics, artificial intelligence, physics, computer science, engineering, biology, and psychology are welcome. Experience with data analysis and proficiency with numerical methods, in addition to familiarity with neuroscience topics and mathematical and statistical methods, are desirable. Equally desirable are a spirit of intellectual adventure, eagerness, and drive. The positions will come with highly competitive work conditions and salaries. For details, see https://www.silveira-lab.com/openings. *Application deadline:* For full consideration, please apply by 15 November 2020. *How to apply:* Please send the following information *in one single PDF, to * *silveira(a)iob.ch* <silveira(a)iob.ch>*:* 1. letter of motivation; 2. statement of research interests, limited to two pages; 3. curriculum vitæ including a list of publications; 4. any relevant publications that you wish to showcase. In all email correspondence, please include the mention “APPLICATION-POSTDOC” in the subject header, otherwise the application will *not* be considered. Please also arrange for three letters of recommendations to be sent to the same email address.

Oct. 18, 2022

Fully-funded computational neuroscience PhD at the University of Manchester

by Caroline Lea-Carnall

Link to project: https://www.findaphd.com/phds/project/bbsrc-dtp-neural-network-models-to-in… About the Project Neuroplasticity is the mechanism that underpins the brain’s ability to learn. It is an umbrella term that encompasses multiple processes occurring at different spatial and temporal scales (1, 2). The most commonly discussed type of plasticity is long-term potentiation (LTP) which is defined as an increase in efficacy between synapses of two neurons. Experiments designed to measure LTP are often done in cell slices or cultures using patch-clamp techniques. However, we often want to promote (and measure) plasticity in humans but its not clear how changes in synaptic efficacy manifest in macroscopic imaging measurements such as magnetic resonance imaging (MRI), magnetic resonance spectroscopy (MRS), or electroencephalography (EEG) that are available for use in humans. This project aims to link our detailed cellular-level knowledge of plasticity processes with systems-level observations in humans and is focussed on answering the following 2 questions: 1. How can we modulate plasticity non-invasively in the brain? 2. How can we measure plasticity in vivo? To answer these questions you will combine computational modelling of biophysically realistic large-scale neural networks that exhibit plasticity with cutting edge neuroimaging techniques to test the model predictions. The model will be adapted so that its output can be compared to the three major imaging techniques described above and you will determine how changes in connectivity between and within regions in the model predict changes in our imaging metrics. There will be a particular focus on developing an EEG marker of plasticity as this currently does not exist. Finally, you will test the model predictions in an imaging study combining stimulation, EEG, MRI and MRS in a proof-of-concept experiment in humans. This will provide us with a deeper understanding of how to modulate and measure plasticity that can be deployed in the future for medical applications of brain stimulation such as in Parkinson’s disease, depression and pain control. Eligibility Applicants must have obtained or be about to obtain a First or Upper Second class UK honours degree, or the equivalent qualifications gained outside the UK, in an appropriate area of science, engineering or technology. Before you Apply Applicants must make direct contact with preferred supervisors before applying. It is your responsibility to make arrangements to meet with potential supervisors, prior to submitting a formal online application. How To Apply To be considered for this project you MUST submit a formal online application form - full details on eligibility how to apply can be found on the BBSRC DTP website https://www.bmh.manchester.ac.uk/study/research/bbsrc-dtp/<https://www.findaphd.com/common/clickCount.aspx?theid=147611&type=184&DID=1…> Your application form must be accompanied by a number of supporting documents by the advertised deadlines. Without all the required documents submitted at the time of application, your application will not be processed and we cannot accept responsibility for late or missed deadlines. Incomplete applications will not be considered. If you have any queries regarding making an application please contact our admissions team admissions.doctoralacademy(a)manchester.ac.uk<javascript:void(0)> Equality, Diversity and Inclusion Equality, diversity and inclusion is fundamental to the success of The University of Manchester, and is at the heart of all of our activities. The full Equality, diversity and inclusion statement can be found on the website https://www.bmh.manchester.ac.uk/study/research/apply/equality-diversity-in…<https://www.findaphd.com/common/clickCount.aspx?theid=147611&type=184&DID=1…> ________________________________ Funding Notes Studentship funding is for 4 years. This scheme is open to both the UK and international applicants. We are only able to offer a limited number of studentships to applicants outside the UK. Therefore, full studentships will only be awarded to exceptional quality candidates, due to the competitive nature of this scheme.

Oct. 18, 2022

Imbizo Deadline approaching fast----> Apply NOW/

by Tim Vogels

Dear all, The DEADLINE for the next IMBIZO is approaching very quickly. Don’t let this opportunity slip by if you are hoping to join the most diverse neuroscience summer school at the most beautiful beach in the world! If you know anyone who would benefit from an extraordinary computational neuroscience summer school, please distribute this information as widely as you can: IBRO-SIMONS COMPUTATIONAL NEUROSCIENCE IMBIZO #Imbizo2023 12 April - 7 May 2022, Noordhoek Beach, Cape Town, South Africa http://imbizo.africa/ <http://imbizo.africa/> Application deadline: 20th October 2022 The #Imbizo2023 is a southern hemisphere summer school aiming to promote computational neuroscience in Africa. It will bring together international and local students under the tutelage of the world's leading experts in the field. Like its international sister courses, this four-week summer school aims to teach central ideas, methods, and practices of modern computational neuroscience through a combination of lectures and hands-on project work. Mornings will be devoted to lectures on topics across the breadth of computational neuroscience, including experimental underpinnings and machine learning analogues. The rest of the day will be spent working on research projects under the close supervision of expert tutors and faculty. Individual research projects will focus on the modelling of neurons, neural systems, behaviour, the analysis of state-of-the-art neural data, and the development of theories to explain experimental observations. New this year is a week focused on neuroscience-inspired machine learning! Who should apply? This course is aimed at Masters and early-PhD level students though Honours or advanced undergraduates may also apply. Postdoctoral students who can motivate why the course would benefit them are also encouraged to apply, Students should have sufficient quantitative skills, (e.g. a background in mathematics, physics, computer science, statistics, engineering or related field). Some knowledge of neural biology will be useful but not essential. Experimental neuroscience students are encouraged to apply, but should ensure that they have a reasonable level of quantitative proficiency (i.e. at least second-year level mathematics or statistics and have done at least one course in computer programming). Essential details * Fee (which covers tuition, lodging, and meals): 1200 EUR Thanks to our generous sponsors, significant financial assistance is available to reduce and waiver fees for students, particularly for African applicants. We also hope to provide some travel bursaries for international students. If you are in need of financial assistance to attend the Imbizo, please state so clearly in the relevant section of your application. The Imbizo is planned to be hosted in person, with everyone following our COVID policy <https://imbizo.africa/covid-policy/>. If it is unsafe to hold the summer school, we will follow up with further information at the appropriate time. * Application deadline: 20th October 2022 * Notification of results: Early December 2022 Information and application https://imbizo.africa/ <https://imbizo.africa/> Questions? isicn.imbizo(a)gmail.com What is an Imbizo? \ɪmˈbiːzɒ\ | Xhosa - Zulu A gathering of the people to share knowledge. Incl. FACULTY such as... Demba Ba - Harvard University Adrienne Fairhall - Washington University Aza Allsop - Yale University David Sussillo - Google Leyla Isik - Johns Hopkins University Peter Latham - University College London Timothy Lillicrap - DeepMind Joseph Raimondo - University of Cape Town Mackenzie Mathis - EPFL Lausanne Evan Schaffer - Columbia University Henning Sprekeler - Technical University of Berlin Thomas Tagoe - University of Ghana Tim Vogels - Institute of Science and Technology Austria Blake Richards - McGill University Xaq Pitkow - Baylor College of Medicine Bianca Jones Marlin - Columbia University TUTORS Mohamed Abdelhack - Krembil Centre for Neuroinformatics Annik Carson - AI Redefined Spiros Chavlis - IMBB-FORTH Christopher Currin - Institute of Science and Technology Austria Nina Kudryashova- University of Edinburgh Marjorie Xie - Columbia University ORGANISERS Demba Ba (Harvard University) Christopher Currin (Institute of Science and Technology Austria) Peter Latham (Gatsby Unit for Computational Neuroscience) Joseph Raimondo (University of Cape Town) Emma Vaughan (Imbizo Logistics) Tim Vogels (Institute of Science and Technology Austria) Sponsors The Imbizo is made possible by the generous support from the Simons Foundation <https://www.simonsfoundation.org/> and the International Brain Research Organisation (IBRO) <https://ibro.org/> Organizational Affiliates University of Cape Town, University College London, Institute of Science and Technology Austria, TReND in Africa <http://trendinafrica.org/>, Neuroscience Institute <http://www.neuroscience.uct.ac.za/>, Gatsby Foundation <http://www.gatsby.org.uk/>, IBRO African Center for Advanced Training in Neurosciences at UCT

Oct. 18, 2022

Survey of user experiences in neuronal network modeling

by Anton Arkhipov

Dear Colleagues, Our NIH BRAIN Initiative-sponsored project (1U24NS124001) – a collaboration between teams at the Allen Institute and University of Illinois – focuses on disseminating tools for neuronal network modeling and supporting users. Would you be so kind to help us understand the needs and experiences of users in this field? We will very much appreciate it if you can fill out this brief survey: https://forms.gle/jFw6hFhY9dyDd25w5 It will take only 5 minutes, and the results will help guide future development of software and documentation for the community. Whether you use our tools or not, an expert or novice in modeling, we’d love to hear from you! Thank you so much. If you have any questions, please feel free to reach out by email. Best regards, Anton. Anton Arkhipov Associate Investigator T: 206.548.8414 E: antona(a)alleninstitute.org<mailto:antona@alleninstitute.org> [Text Description automatically generated] alleninstitute.org<https://alleninstitute.org> brain-map.org

Oct. 18, 2022

Application for ION Fellow independent position at University of Oregon

by Luca Mazzucato

We are announcing an open search for our new members of the inaugural *Institute of Neuroscience Fellows Program*, co-sponsored by the University of Oregon and the Knight Campus for Accelerating Scientific Impact. This program is aimed at recruiting *exceptional postdoctoral scholars whose interests lie at the interface between Systems and Computational Neuroscience*. The ION Fellow will have intellectual freedom to develop their *independent research* on the neural mechanisms of brain function across the entire range from experiments to theory, leveraging resources and mentorship from multiple labs participating in the Program. Research funds to support the independent project will be available to the Scholar to spend at their discretion. ION Fellows will play a central role in our intellectual community and will be encouraged to pursue collaborative projects that span the interests of multiple labs and faculty mentors. Our Institute has a strong culture of theory/experiment collaboration, which has been powered by the interdisciplinary approach of our trainees. The faculty will provide extensive training in both scientific aspects and career development with the goal of charting a successful path to independence for the ION Fellow. Our Institute features a wide range of expertise including sensory processing (visual, auditory and olfactory), motor control, naturalistic behavior, neuronal development, neural engineering, and brain-computer interfaces. Our newly established NeuroAI Center combines data science and computational approaches for modeling large neural and behavioral datasets and developing the new generation of brain-inspired Artificial Intelligence. While our main experimental labs participating in the program use mice as a model system, the ION Fellow will also have opportunities to work with laboratories working with humans, Zebra fish, fruit fly, and c. e*legans**.* We expect ION Fellows to establish a mentoring team including multiple faculty mentors. The Fellow will be a member of the NSF-funded Accelnet consortium "International network for brain-inspired computation," fostering collaborations between a large-network of computational neuroscience/AI labs. *Mini**mum qualifications* for this position include a PhD in Neuroscience, Physics, Biology, Mathematics, Computer Science, Engineering, Psychology, Human Neurophysiology, Statistics or a related discipline; and a track record of productive research, including publications. A competitive salary and benefits arrangement will be provided including travel funds. To apply please send your CV, a 1-2 page summary of research accomplishments, and a 1-2 page statement of research interests, to “lmazzuca at uoregon dot edu” with subject line “ION Fellow application”; please arrange to have 3 letters of reference sent to the same email address. Our Institute strongly advocates for inclusivity in science and we encourage applications from underrepresented groups. Application reviews will start on Nov. 1st and will continue until the position is filled. Participating labs include: Tim Gardner, Santiago Jaramillo, Michelle Marneweck, Luca Mazzucato, David McCormick, James Murray, Cris Niell, Matt Smear, Emily Sylwestrak

Oct. 18, 2022

Post-doctoral position in Systems Neuroscience at Yale

by Anirvan Nandy

[Apologies for cross-posting] The Nandy lab <https://nandylab.org/> and the Jadi lab <https://www.jadilab.org/> in the Departments of Neuroscience & Psychiatry at the Yale School of Medicine has an opening for a Postdoctoral Associate, to investigate the neural mechanisms of perception and attention. Applicants with the following skills are particularly encouraged to apply: (a) research background in systems or computational neuroscience, (b) expertise in electrophysiology in behaving animals, and/or (c) highly quantitative data analytic skills (possibly including computational modelling). The candidate will carry out high-density multi-areal electrophysiological recordings while animals are engaged in attention-demanding visual tasks. The individual will be required to train animals, generate electrophysiological data, and perform advanced statistical data analyses and modelling in a highly collaborative research environment. The position is initially for a period of 1 year, with scope for multi-year renewal subject to satisfactory progress. Candidates will be reviewed on a rolling basis until the position is filled. Yale provides an outstanding environment for conducting successful and rigorous postdoctoral training toward obtaining an independent research position. The neuroscience community at Yale is highly active and involves interdisciplinary collaborations across multiple academic units including the Departments of Neuroscience, Psychology, Psychiatry, Computer Science, Statistics & Data Science, Molecular, Cellular & Developmental Biology and more. The Wu Tsai Institute, Kavli Institute for Neuroscience, and the Swartz Center for Theoretical Neurobiology provide excellent opportunities for training and cross-disciplinary dialog. Yale and our labs are highly committed to promoting diversity among its students, faculty, and staff. Women, person with disabilities, protected veterans, individuals from underrepresented minority groups are strongly encouraged to apply. Interested candidates should e-mail their applications to anirvan.nandy(a)yale.edu <mailto:anirvan.nandy@yale.edu>. The application should include: (1) CV; (2) a one-page description of research interests; (3) contact information for 3 referees. -------------------------------------------------------------------------- Anirvan Nandy, PhD Yale Orthwein Scholar for Vision Science Dept. of Neuroscience | Kavli Institute | Wu Tsai Institute Yale University https://nandylab.org <https://nandylab.org/>

Oct. 17, 2022

Paid Research Internships in AI and Brain Research (CaCTuS)

by Helena Dalmau Felderhoff

-- Apologies for cross-posting -- Our international internship program, CaCTüS, offers paid research internships at the Max Planck Institute for Biological Cybernetics, the Max Planck Institute for Intelligent Systems and the AI Center in Tübingen & Stuttgart (Germany) to students who face significant constraints in their pursuit of a career in AI or brain research. We would be very grateful if you could help us reach students who may benefit from our program. You can do that by distributing the call for applications in your professional networks, among your colleagues and any interested students, or by sharing our posts on social media. You may find details on the program and links to our social media posts below. We thank you in advance for any support you are willing to give us. If you have any questions, please feel free to contact us. Kind regards, Helena Dalmau Felderhoff - on behalf of the CaCTüS Internship coordination team - About the CaCTüS Internship program <https://cactus-internship.tuebingen.mpg.de> cactus-internship.tuebingen.mpg.de The sciences of biological and artificial intelligence are rapidly growing research fields that need enthusiastic minds with a keen interest in solving challenging questions. The Max Planck Institutes for Biological Cybernetics and Intelligent Systems as well as the AI Center in Tübingen & Stuttgart (Germany) offer up to 10 students at the Bachelor or Master level paid three-months internships during the summer of 2023. Successful applicants will work with top-level scientists on research projects spanning machine learning, electrical engineering, theoretical neuroscience, behavioral experiments and data analysis. The CaCTüS Internship is aimed at young scientists who are held back by personal, financial, regional or societal constraints to help them develop their research careers and gain access to first-class education. The program is designed to foster inclusion, diversity, equity and access to excellent scientific facilities. We specifically encourage applications from students living in low- and middle-income countries which are currently underrepresented in the Max Planck Society research community. Application deadline: 4 December 2022 Social Media Links Twitter: <https://twitter.com/MPICybernetics/status/1581941564699336704> https://twitter.com/MPICybernetics/status/1581941564699336704 Facebook: <https://www.facebook.com/MPICybernetics/photos/a.1701083666787308/343340166 3555491> https://www.facebook.com/MPICybernetics/photos/a.1701083666787308/3433401663 555491 Instagram: <https://www.instagram.com/p/Cjz1mpssJjm/> https://www.instagram.com/p/Cjz1mpssJjm/ LinkedIn: <https://www.linkedin.com/feed/update/urn:li:activity:6987707261393502208> https://www.linkedin.com/feed/update/urn:li:activity:6987707261393502208 ************************************************ CaCTüS Internship Coordination Office Max Planck Institute for Biological Cybernetics Max-Plank-Ring 8 72076 Tübingen Germany <mailto:cactus-internship@tuebingen.mpg.de> cactus-internship(a)tuebingen.mpg.de <http://cactus-internship.tuebingen.mpg.de/> http://cactus-internship.tuebingen.mpg.de/ ************************************************

Oct. 17, 2022

Postdocs in computational neuroscience, decision-making: U Penn/U Houston/CU Boulder

by Zachary Kilpatrick

We are seeking up to two postdoctoral fellows to join an ongoing, collaborative project on adaptive decision-making jointly directed by Joshua Gold and Long Ding at the University of Pennsylvania, Krešimir Josić at the University of Houston, and Zachary Kilpatrick at the University of Colorado at Boulder. The positions are fully funded for 2–3 years each by our joint Collaborative Research in Computational Neuroscience (CRCNS) grant, “Adaptive Decision Rules in Dynamic Environments”. Both positions will be fully integrated into our cross-disciplinary team, which involves bi-weekly virtual meetings, annual in-person meetings, and other collaborative opportunities to ensure close, bi-directional interactions between theory/modeling and experiments. One position will be housed at the University of Pennsylvania and will focus on experimental approaches, including psychophysics and pupillometry in humans; psychophysics, pupillometry, and neurophysiology in non-human primates; and theory-driven, quantitative data analyses. The other position will be housed at the University of Houston and will focus on theoretical and modeling approaches, including stochastic and probabilistic models and their circuit-level implementations, assessed and updated via our experimental data using statistical model identification and comparison. The University of Pennsylvania, University of Houston, and University of Colorado at Boulder are all Equal Opportunity Employers with strong support for postdocs, via Penn’s Biomedical Postdoctoral Programs office, the University of Houston Postdoctoral Fellows Association (UHPFA), and UC Boulder’s Office of Postdoctoral Affairs. We value diversity in all forms and strive to promote a healthy, inclusive working environment. Applicants should send a CV and cover letter to Joshua Gold (jigold(a)pennmedicine.upenn.edu <mailto:jigold@pennmedicine.upenn.edu>) or Krešimir Josić (kresimir.josic(a)gmail.com <mailto:kresimir.josic@gmail.com>). Informal inquiries are also welcome.

Oct. 17, 2022

FW: Paid Research Internships in AI and Brain Research (CaCTuS)

by Susan Fischer

-- Apologies for cross-posting -- Our international internship program, CaCTüS, offers paid research internships at the Max Planck Institute for Biological Cybernetics, the Max Planck Institute for Intelligent Systems and the AI Center in Tübingen & Stuttgart (Germany) to students who face significant constraints in their pursuit of a career in AI or brain research. We would be very grateful if you could help us reach students who may benefit from our program. You can do that by distributing the call for applications in your professional networks, among your colleagues and any interested students, or by sharing our posts on social media. You may find details on the program and links to our social media posts below. We thank you in advance for any support you are willing to give us. If you have any questions, please feel free to contact us. Kind regards, Susan Fischer - on behalf of the CaCTüS Internship coordination team - About the CaCTüS Internship program cactus-internship.tuebingen.mpg.de The sciences of biological and artificial intelligence are rapidly growing research fields that need enthusiastic minds with a keen interest in solving challenging questions. The Max Planck Institutes for Biological Cybernetics and Intelligent Systems as well as the AI Center in Tübingen & Stuttgart (Germany) offer up to 10 students at the Bachelor or Master level paid three-months internships during the summer of 2023. Successful applicants will work with top-level scientists on research projects spanning machine learning, electrical engineering, theoretical neuroscience, behavioral experiments and data analysis. The CaCTüS Internship is aimed at young scientists who are held back by personal, financial, regional or societal constraints to help them develop their research careers and gain access to first-class education. The program is designed to foster inclusion, diversity, equity and access to excellent scientific facilities. We specifically encourage applications from students living in low- and middle-income countries which are currently underrepresented in the Max Planck Society research community. Application deadline: 4 December 2022 Social Media Links Twitter: https://twitter.com/MPICybernetics/status/1581941564699336704 Facebook: https://www.facebook.com/MPICybernetics/photos/a.1701083666787308/343340166… Instagram: https://www.instagram.com/p/Cjz1mpssJjm/ LinkedIn: https://www.linkedin.com/feed/update/urn:li:activity:6987707261393502208 ************************************************ CaCTüS Internship Coordination Office Max Planck Institute for Biological Cybernetics Max-Plank-Ring 8 72076 Tübingen Germany cactus-internship(a)tuebingen.mpg.de http://cactus-internship.tuebingen.mpg.de/ ************************************************

Oct. 17, 2022

5 year Neuroscience MSc/PhD Programme in Tuebingen

by Peter Dayan

5-Year combined MSc/PhD program of the International Max Planck Research School: The Mechanisms of Mental Function and Dysfunction The Max Planck Institute for Biological Cybernetics, the Hertie Institute for Clinical Brain Research and the University of Tübingen invite students from all over the world to apply for their interdisciplinary 5-year combined MSc/PhD program leading to a PhD in Neuroscience. MSc Scholarships will be available for top-ranked applicants. We are seeking talented, curious and open-minded young scientists with strong backgrounds in neuroscience, biomedical sciences, computational science, applied mathematics, statistics, artificial intelligence, or engineering. Successful candidates will possess a burning aspiration to shape the future of neuroscience and the ability to thrive in a fast-paced, interdisciplinary, environment. The application deadline is 30th November 2022. Please visit: https://www.kyb.tuebingen.mpg.de/imprs-mmfd for more details and information about applying. The MSc/PhD program is a collaboration between the Max Planck Institute for Biological Cybernetics, the Hertie Institute for Clinical Brain Research and the University of Tübingen. It is closely affiliated with the renowned Graduate Training Centre of Neuroscience, the centerpiece of neuroscience training in Tübingen. Students (who should have been awarded a Bachelor's degree by September 2023) will receive a broad interdisciplinary training in neuroscience, including expert teaching by international renowned scientists and individual and intensive mentoring. Potential research topics cover a variety of fields in systems neuroscience, cognitive and behavioral neuroscience, computational neuroscience, translational and clinical neuroscience as well as cellular and molecular neuroscience. Teaching and research are conducted in English.

Oct. 17, 2022

Closing Soon: Postdoc (3 years) in computational neuroscience/machine learning at the University of Nottingham (UK) [Fixed link]

by Mark Humphries

[Apologies! posting again with fixed link to the job application portal] The Humphries’ lab at the University of Nottingham is seeking a postdoc to join a project developing a precision medicine platform for neuromodulation, in collaboration with MachineMedicine Technologies and St George’s Hospital, London. A crucial unmet need in the management of Parkinson’s disease is how to reliably identify patients that would benefit from deep brain stimulation, the most effective treatment for Parkinson’s. The project team will create a machine-learning platform that synthesises wide-ranging personal and clinical data, combined with neural modelling, to predict the suitability of each Parkinson’s disease patient for deep brain stimulation. An exciting opportunity for the pipeline will be integrating computational models of the neural circuits disrupted in Parkinson’s. The Humphries’ lab researches fundamental insights into how the joint activity of neurons encodes actions in the world and is disrupted in movement disorders (https://www.humphries-lab.org) The post is for 3 years, full-time. Nottingham University welcomes researchers from around the globe. As part of this support, the university will provide financial support to the post-holder for all visa costs. For queries please contact Professor Mark Humphries, mark.humphries(a)nottingham.ac.uk<mailto:.humphries@nottingham.ac.uk>. For full details of the role and how to apply https://jobs.nottingham.ac.uk/vacancy.aspx?ref=SCI437522 Closing data: October 26th 2022 This message and any attachment are intended solely for the addressee and may contain confidential information. If you have received this message in error, please contact the sender and delete the email and attachment. Any views or opinions expressed by the author of this email do not necessarily reflect the views of the University of Nottingham. Email communications with the University of Nottingham may be monitored where permitted by law.

Oct. 17, 2022

Postdoc positions: real-time neuroscience & neural dynamics

by Memming Park

Dear colleagues, Two open postdoc positions are available in the Neural Dynamics Lab led by Memming Park at the Champalimaud Centre for the Unknown in Lisbon, Portugal. We are looking for motivated scientists and engineers with experience and passion in two broad areas related to analysis of neural recordings: (1) statistical neuroscience, signal processing & control, and/or real-time systems, (2) machine learning (VAE, active learning, meta learning), theoretical neuroscience, and/or dynamical systems. The project is centered around inferring the effective dynamics and latent neural computation at the population level from a closed-loop neural recording system. Details & application: http://catniplab.github.io/postdoc-hiring/ https://fchampalimaud.org/offers/two-postdoctoral-positions-mp-2pd-oct2022 For any questions, please do not hesitate to contact me. Best wishes, Il Memming Park -- Group Leader, Champalimaud Centre for the Unknown, Portugal Associate Professor, Stony Brook University, USA

Oct. 17, 2022

Closing Soon! Postdoc (3 years) in computational neuroscience/machine learning at the University of Nottingham (UK)

by Mark Humphries

The Humphries’ lab at the University of Nottingham is seeking a postdoc to join a project developing a precision medicine platform for neuromodulation, in collaboration with MachineMedicine Technologies and St George’s Hospital, London. A crucial unmet need in the management of Parkinson’s disease is how to reliably identify patients that would benefit from deep brain stimulation, the most effective treatment for Parkinson’s. The project team will create a machine-learning platform that synthesises wide-ranging personal and clinical data, combined with neural modelling, to predict the suitability of each Parkinson’s disease patient for deep brain stimulation. An exciting opportunity for the pipeline will be integrating computational models of the neural circuits disrupted in Parkinson’s. The Humphries’ lab researches fundamental insights into how the joint activity of neurons encodes actions in the world and is disrupted in movement disorders (https://www.humphries-lab.org) The post is for 3 years, full-time. Nottingham University welcomes researchers from around the globe. As part of this support, the university will provide financial support to the post-holder for all visa costs. Unsure if you're a good fit for the post? Got any questions? Then contact Mark for a chat: mark.humphries(a)nottingham.ac.uk<mailto:.humphries@nottingham.ac.uk>. For full details of the role and how to apply: https://www.nottingham.ac.uk/jobs/currentvacancies/ref/SCI437522 Closing date: October 26th 2022 Professor Mark Humphries | Professor of Computational Neuroscience My book "The Spike: An Epic Journey Through the Brain in 2.1 Seconds" is out now in hardback, ebook, and audiobook! https://press.princeton.edu/books/hardcover/9780691195889/the-spike Lab: humphries-lab.org<https://www.humphries-lab.org/> Twitter: @markdhumphries Public blog: https://medium.com/the-spike This message and any attachment are intended solely for the addressee and may contain confidential information. If you have received this message in error, please contact the sender and delete the email and attachment. Any views or opinions expressed by the author of this email do not necessarily reflect the views of the University of Nottingham. Email communications with the University of Nottingham may be monitored where permitted by law.

Oct. 17, 2022

New Book: Information Theory

by James V Stone

New book (well, new edition). Information Theory: A Tutorial Introduction. Contains two new chapters: Rate Distortion Theory and Transfer Entropy. Reviews, table of contents, code, and Chapter 1 here: https://jamesstone.sites.sheffield.ac.uk/books/information-theory-2nd-editi… regards, Jim Stone -- James V Stone Honorary Associate Professor, Sheffield University, UK. Web: https://jamesstone.sites.sheffield.ac.uk/books Twitter: @jgvfwstone

Oct. 17, 2022

ANNOUNCEMENT: comp-neuro has moved to new host

by Erik De Schutter

Dear comp-neuro subscriber, I am glad to announce that the comp-neuro mailing list has moved to a new home. This was necessary because the previous set-up became increasingly hard to maintain since I left the University of Antwerp. As a consequence it became difficult for aspirant members to subscribe and mails were sometimes delayed. The mailing list has now moved to a cloud based home and runs a more recent version of the software. I expect this will provide a stable solution with a better service. Appropriately, it is now managed by the Organization for Computational Neurosciences. Please encourage your colleagues, collaborators, students, etc who are not member yet to subscribe to comp-neuro, now that the website works again. From now on please use: - Email to post to mailing list: comp-neuro(a)lists.cnsorg.org - Email to contact admin/moderators: comp-neuro-owner(a)lists.cnsorg.org - Webpage of mailing list (to subscribe / unsubscribe / view archives): https://www.cnsorg.org/comp-neuro-mailing-list Erik De Schutter Okinawa Institute of Science and Technology

Oct. 14, 2022

Test Email

by Shailesh Appukuttan

This is a test email for maintenance purposes. Please ignore. Cheers, Shailesh Appukuttan *OCNS Webmaster*

Oct. 14, 2022

Extra PhD fellowship at SISSA – Cognitive Neuroscience in Trieste

by Alessandro Treves

The National Program in Theoretical and Applied Neuroscience opens up an additional possibility to join SISSA for a PhD this Fall, together with those recently admitted. SISSA is an elite postgraduate research institution in Trieste, Italy, focusing on Maths, Physics and Neuroscience. It operates in English: many among its students and faculty are not Italian. The Cognitive Neuroscience Department https://phdcns.sissa.it/ hosts 7 research labs, led by D Bueti, D Zoccolan, R Rumiati, D Crepaldi, M Diamond, E Piasini and A Treves, which study the neuronal bases of time and magnitude processing, visual perception, motivation and intelligence, language and reading, tactile perception and learning, inference and memory. Those admitted can design their own research projects within or across these labs, with a variety of approaches including behavioural, psychophysics, and neurophysiological experiments with humans and animals, computational and mathematical models. Candidates from diverse backgrounds (eg in the hard or life sciences, linguistics, medicine or psychology) are most welcome to apply, if daring. If interested, please register and apply immediately *** deadline Oct 19 *** to https://vele.unicam.it/CallforApplication/?st=2 (the Univ Camerino website handling all applications) indicating, within Curriculum 1: Cognitive and Behavioral Neuroscience, the position Code 1.7 ---------------------------------------------- Alessandro Treves Liminar Investigations of Memory and Brain Organization Cognitive Neuroscience, SISSA, Trieste, Italy +39 349 2504602 http://people.sissa.it/~ale/limbo.html

Oct. 12, 2022

PhD positions available in ML-flavoured neural modelling

by Goodman, Daniel F M

If you're interested in doing a PhD with me in using ML techniques to explore neuroscience questions with spiking neural networks, etc. Please get in touch. Application process: http://neural-reckoning.org/openings.html To get a quick idea of whether or not you're interested, check out this paper. Basically if you like this, you'd be at home. http://neural-reckoning.org/pub_heterogeneity.html Dan If you are interested in a future where access to and participation in research are equitable and open to all, please take a moment to read and sign our open letter to the White House Office of Science and Technology Policy<https://ostp-letter.github.io/why.html>. Your support can make a real difference to the future of research.

Oct. 11, 2022

The Donders Institute is looking for a new Scientific Director!

by Fleur Zeldenrust

Are you a leading researcher in the field of brain, cognition and behaviour with experience in managerial leadership? Do you have a clear vision on the future of cognitive neuroscience and are you able to translate this into a coherent business strategy for one of the leading neuroscience institutes in Europe? Then combine your scientific and leadership skills as the scientific director of the Donders Institute. In 2023, a new governance structure will be implemented at the Donders Institute. As part of this development, the Donders Institute has an opening for a scientific director who will spend 0.5 FTE as director of the institute and 0.5 FTE for research activities and teaching. As scientific director, you will be the head and chair of the Executive Board of the Donders Institute Network. The Scientific Director is ultimately responsible for the overarching research activities and research strategy and for managerial and financial aspects of the Donders Institute. The latter include among others various portfolio's, such as the Donders Graduate School's graduate programme, talent development, societal impact, external relations, public outreach, diversity and sustainable science. Since most researchers at the Donders Institute are based at partners of the Donders Institute (Faculty of Science, Faculty of Social Sciences, the Radboud university medical center, Donders Centre for Cognitive Neuroimaging, Max-Planck Institute for Psycholinguistics), you will consult with the deans/directors involved at the Supervisory and Strategy Boards' meetings to set out a long-term research strategy, financial commitment and investment programme. You will chair the Executive Board of the Donders Institute, the Research Platform with the leaders of the Institute's four research themes, and the Strategy Board, which includes the directors of the four Donders Centres and the Max Planck Institute for Psycholinguistics (MPI). The Research Platform and the Strategy Board operate as advisory bodies to the Executive Board for all strategic issues of the Donders Institute Network. As scientific director, you will be accountable to the Supervisory Board, which will respond to Radboud University's Executive Board. Interested? Combine your scientific and leadership skills as the scientific director of the Donders Institute and apply online before 7 November. More information about how to apply can be found here: https://www.ru.nl/en/working-at/job-opportunities/scientific-director-for-t… Fleur Zeldenrust -- Fleur Zeldenrust Assistant Professor Donders Institute for Brain, Cognition and Behaviour Donders Centre for Neuroscience Faculty of Science, Radboud University Heyendaalseweg 135, room HG 00.111 6525 AJ Nijmegen, the Netherlands tel +31 24 36 53195 fleurzeldenrust.nl *Due to my own family/work balance, you may receive emails from me outside of normal working hours. I do not expect a response from you outside of your own working pattern, nor do I expect an immediate response when you are working.*

Oct. 11, 2022

Neuroimaging Data Analyst Position at Stanford University

by Mai-Phuong K Bo

Dear Colleagues, The Stanford Cognitive and Systems Neuroscience Laboratory in the Department of Psychiatry and Behavioral Sciences at Stanford University has an opening for a talented individual with strong computational and programming skills. This is an exciting opportunity to work with a multidisciplinary research team (https://scsnl.stanford.edu<http://scsnl.stanford.edu/>) on a wide range of studies of human brain function and dysfunction. The successful candidate will assist lab members with neuroimaging and behavioral data analysis, data organization, and management. We are seeking talented and enthusiastic candidates with a strong background in biomedical engineering, computer science, physics, mathematics, statistics, computational neuroscience, quantitative psychology, or related subjects. Stanford offers a highly competitive salary with excellent health and retirement benefits. Please include a CV, a statement of research interests and career goals, and contact information for three references to scsnl.stanford(a)gmail.com<mailto:scsnl.stanford+quantitative@gmail.com> Thank you, Mai-Phuong Bo (She/Her) Lab & Recruitment Manager Stanford Cognitive & Systems Neuroscience Lab Department of Psychiatry & Behavioral Sciences Email: maipbo(a)stanford.edu [cid:e70df0c1-2a80-4fb7-91a9-bf1692af5692]

Oct. 10, 2022

DeepMath Registration reminder

by Ahmed El Hady

*Dear all,* * **Just reminding everyone that the**registration is still open for DeepMath 2022 : ** https://www.eventbrite.com/e/deepmath-2022-registration-393832562797 We**have an amazing line up of invited**speakers: * Francis Bach**(INRIA) * Anima Anandkumar (CalTech) * Sara Solla**(Northwestern) * Berk Ustun**(UCSD) * Yisong Yue**(Caltech) * Courtney**Paquette (McGill) * Daniel Soudry ( Technion ) In**addition, we have a poster session and ample**opportunities for researchers across disciplines to discuss state of the art**research on the theoretical understanding of deep neural networks. So save your**spot . == Location == DeepMath 2022 will be held in**San Diego, CA, USA.. Stay tuned to the DeepMath website (www.deepmath-conference.com <http://www.deepmath-conference.com/>) for more details on venue and hotels ** The**talks will be freely live-streamed over YouTube and subsequently posted on the**DeepMath YouTube**channel : https://www.youtube.com/channel/UCamugMiftSeZo4EjdtePPyw/playlists ** Please get in touch in case you have**any outstanding questions. All the best, Ahmed El Hady** ** On behalf of the DeepMath 2022**Organizational Committee ********** *

Oct. 7, 2022

Postdoctoral position in computational/theoretical neuroscience

by Maxim Bazhenov

The Bazhenov Lab at the University of California, San Diego (https://www.bazhlab.ucsd.edu) is seeking to fill a postdoctoral position to study role of sleep in memory and learning. The ultimate goals of the work are to understand how sleep contributes to continual learning, generalization and transfer of knowledge and how sensory or electrical stimulation affect sleep dynamics and memory consolidation in human and animal brain (see, e.g., 10.7554/eLife.51005; 10.1093/cercor/bhaa228; 10.1523/JNEUROSCI.1427-19.2019; doi.org/10.1523/JNEUROSCI.2044-21.2022 ). To address these questions, we develop and apply large-scale models of the brain dynamics in sleep and wakefulness, based on animal and human data, in close collaboration with experimental laboratories. Our lab other research directions include topics in neuroscience (olfaction, epilepsy, TBI) and neuroscience inspired artificial intelligence (lifelong learning, generalization, adversarial robustness); lab members are encouraged to participate in multiple projects. The successful candidate will be responsible for the design and analysis of the anatomically realistic large-scale brain models based on experimental data. Qualified applicants are expected to have background and experience in neuroscience, computational neuroscience, physics/engineering and/or mathematics. Knowledge and experience in C/C++ and PYTHON are a big plus. The University of California offers excellent benefits. Salary is based on research experience. Applicants should send a brief statement of research interests, a CV and the names of three references to Maxim Bazhenov at mbazhenov(a)ucsd.edu -- Maxim Bazhenov, Ph.D. Professor, Department of Medicine, Neurosciences Graduate Program, UCSD, School of Medicine http://www.bazhlab.ucsd.edu/

Oct. 7, 2022

CARLsim 6: An Open Source Library for Large-Scale, Biologically Detailed Spiking Neural Network Simulation

by Jeffrey Krichmar

Dear Colleagues, We are pleased to announce the release of CARLsim 6: An Open Source Library for Large-Scale, Biologically Detailed Spiking Neural Network Simulation. Abstract. The CARLsim SNN platform is one of the first Open Source simulation systems that utilized CUDA GPUs to address the tremendous parallel processing demands of natural brains. It has evolved over almost a decade in numerous scientific research projects requiring efficient biologically plausible modeling at scale. With its sixth major release, CARLsim 6 respects this legacy by supporting the latest versions of operating systems, development tool chains, multi-core computers, and of course GPUs. It runs on a range of platforms; from Notebooks up to the NVIDIA DGX-A100 supercomputer, and is used in biologically plausible simulations of the hippocampus and neocortex. The latest version has added flexibility for incorporating long-term and short-term synaptic plasticity. Neuromodulation is an important property of neurobiology that can lead to rapid few shot learning, network rewiring, and neural activity modulation. Because of this, CARLsim 6 now supports four multiple neuromodulators for simulating neural excitability and synaptic plasticity. Software: https://github.com/UCI-CARL/CARLsim6 A paper describing CARLsim 6 can be found here: https://ieeexplore.ieee.org/document/9892644 A video describing CARLsim 6 can be found here: https://www.youtube.com/watch?v=6d97ElAiKjc Best regards, Jeff Krichmar Department of Cognitive Sciences 2328 Social & Behavioral Sciences Gateway University of California, Irvine Irvine, CA 92697-5100 jkrichma(a)uci.edu http://www.socsci.uci.edu/~jkrichma

Oct. 6, 2022

Gatsby Unit PhD Programme: Applications now open

by I-Chun

4-Year PhD Programme in Theoretical Neuroscience and Machine Learning Call for Applications! Deadline: 13 November 2022 The Gatsby Computational Neuroscience Unit is a leading research centre focused on theoretical neuroscience and machine learning. We study (un)supervised and reinforcement learning in brains and machines; inference, coding and neural dynamics; Bayesian and kernel methods, and deep learning; with applications to the analysis of perceptual processing and cognition, neural data, signal and image processing, machine vision, network data and nonparametric hypothesis testing. The unit provides a unique opportunity for a critical mass of theoreticians to interact closely with one another and with researchers at the Sainsbury WellcomeCentre for Neural Circuits and Behaviour (SWC), the Centre for Computational Statistics and Machine Learning (CSML) and related UCL departments such as Computer Science; Statistical Science; Artificial Intelligence; the ELLIS Unit at UCL; Functional Imaging; Neuroscience; and the nearby Alan Turing and Francis Crick Institutes. Our PhD programme provides a rigorous preparation for a research career. Students complete a 4-year PhD in either machine learning or theoretical and computational neuroscience, with minor emphasis in the complementary field. Courses in the first year provide a comprehensive introduction to both fields and systems neuroscience. Students are encouraged to work and interact closely with SWC/CSML researchers to take advantage of this uniquely multidisciplinary research environment. Applicants should have a strong analytical and quantitative background, a keen interest in neuroscience, machine learning or both, and a relevant first degree, for example in Mathematics, Statistics, Computer Science, Engineering, Physics, Neuroscience or Cognitive Psychology. Full funding is available regardless of nationality. The unit also welcomes applicants who have secured or are seeking funding from other sources. Applications should be submitted directly to us via the online portal. For programme details and how to apply, see www.ucl.ac.uk/gatsby/study-and-work/phd-programme -- I-Chun Lin, PhD Scientific Programme Manager Gatsby Computational Neuroscience Unit, UCL www.ucl.ac.uk/gatsby | @GatsbyUCL

Oct. 5, 2022

Accepting Applications for 2023 CCN Workshop on Calcium & Imaging Voltage Analysis

by Matthew Turner

Dear Neuroscience Community Members, The Center for Computational Neuroscience at the Flatiron Institute of the Simons Foundation is pleased to announce that we're accepting applications for our free 2023 CCN Workshop on Calcium & Imaging Voltage Analysis; please note that travel awards will also be made available for persons from populations underrepresented in the scientific workforce as defined by NIH <https://diversity.nih.gov/about-us/population-underrepresented>. For more information, please see below or visit the workshop website <https://indico.flatironinstitute.org/event/3293/>. 2023 CCN Workshop on Calcium & Imaging Voltage Analysis <https://indico.flatironinstitute.org/event/3293/> Workshop Description New imaging modalities - including endoscopic and multiphoton calcium imaging, and single and multiphoton voltage imaging, among others - have granted unprecedented access to the activity of large neuronal populations with high temporal resolution. As such, those methods have been instrumental in obtaining new neurobiological insights inaccessible to other recording modalities. However, the barrier to establishing reproducible and efficient computational pipelines for imaging datasets, along with the difficulty of integrating this technology into real-time experiments, have substantially slowed progress in neuroscience and represent a significant opportunity cost for many laboratories. CaImAn is an open-source software platform that provides optimized and scalable routines to process imaging data with the goal of extracting the activity of each neuron. CaImAn handles multiple imaging modalities (voltage, calcium, endoscopic, multiphoton, volumetric) and analysis settings (batch/offline vs online/real-time). Mesmerize is a new organizational and visualization framework that allows for efficient and streamlined analysis using CaImAn algorithms, and enables users with minimal programming experience to use CaImAn effectively. CaImAn is very popular among neuroscientists world-wide, but its widespread dissemination, the efficient use of its routines, and the opportunities provided by Mesmerize, require access to training opportunities. We will address this challenge by establishing a workshop at the Flatiron Institute, Simons Foundation. The free workshop will be of interest to imaging researchers at many levels of experience. It will provide a unique opportunity to directly learn from lead developers of both CaImAn and Mesmerize for analysis of calcium and voltage data. Attendees will receive: - Tutorials on cutting edge calcium and voltage imaging analysis tools. - Hands-on training with real data sets and practical code examples that they will be able to use with their own data. - Receive training on the new Mesmerize framework for batch analysis and data organization enabling streamlined use of CaImAn algorithms. - Training on the mesmerize-viz and fastplotlib libraries for very fast visualization or large-scale datasets in Jupyter notebooks. - More experienced users and developers will have the opportunity to participate in a hackathon, make contributions to the core packages, and become active contributors to these tools moving forward. - Training in DataJoint: data organization and infrastructure with the help of a database server. Application Deadlines Workshop attendance will be capped at 30 attendees. In the event that there are over 30 applications, participation will be restricted to one applicant per lab. Applications to attend the workshop will be accepted through midnight on Sunday, November 6, and admitted attendees will be notified by Friday, November 18; persons who applied for travel grants will also be notified by November 18. If your application is accepted, you will be required to submit your intent to attend by Tuesday, November 22 to help ensure full attendance and to allow time for travel arrangements. The event will also be recorded as a reference for attendees, and for those who are unable to attend. For more information, please visit the conference registration page <https://indico.flatironinstitute.org/event/3293/>, or be in touch with Noah Dlugacz, administrative coordinator, CCN, at ndlugacz(a)flatironinstitute.org. Thanks for your time. Cordially, Matthew Matthew B. Turner Manager for Center Administration | Center for Computational Neuroscience Pronouns: any *FLATIRON INSTITUTE* 160 Fifth Avenue Suite 408 New York, NY 10010 917.363.1095 *mobile* *simonsfoundation.org/flatiron/ <http://simonsfoundation.org/flatiron/>*

Oct. 4, 2022

COSYNE 2023: Meeting announcement; Call for Workshop Proposals; DEIA Committee

by Tomas Hromadka

==================================================== Computational and Systems Neuroscience 2023 (Cosyne) MAIN MEETING 09 - 12 March 2023 Montreal WORKSHOPS 13 - 14 March 2023 Mont-Tremblant www.cosyne.org ==================================================== ---------------------------------------------------- MEETING ANNOUNCEMENT ---------------------------------------------------- The annual Cosyne meeting provides an inclusive forum for the exchange of empirical and theoretical approaches to problems in systems neuroscience, in order to understand how neural systems function. The MAIN MEETING is single-track. A set of invited talks is selected by the Executive Committee, and additional talks and posters are selected by the Program Committee, based on submitted abstracts. The WORKSHOPS feature in-depth discussion of current topics of interest, in a small group setting. All abstract submissions will be reviewed double blind. The deadline for Abstract submission will be 23 November 2022. Cosyne topics include but are not limited to: neural basis of behavior, sensory and motor systems, circuitry, learning, neural coding, natural scene statistics, dendritic computation, neural basis of persistent activity, nonlinear receptive field mapping, representations of time and sequence, reward systems, decision-making, synaptic plasticity, map formation and plasticity, population coding, attention, neuromodulation, and computation with spiking networks. We would like to foster increased participation from experimental groups as well as computational ones. Please circulate widely and encourage your students and postdocs to apply. IMPORTANT DATES Abstract submission opens: 05 October 2022 Workshop proposals deadline: 07 November 2022 Abstract submission deadline: 23 November 2022 When preparing an abstract, authors should be aware that not all abstracts can be accepted for the meeting. Abstracts will be selected based on the clarity with which they convey the substance, significance, and originality of the work to be presented. ORGANIZING COMMITTEE General Chairs: Laura Busse (LMU Munich) and Tim Vogels (IST Austria) Program Chairs: Jessica Cardin (Yale) and Blake Richards (McGill) Workshop Chairs: Anna Schapiro (U Penn) and Andrew Saxe (Oxford) Tutorial Chair: Kanaka Rajan (Mount Sinai) DEIA Committee: Hysell Oviedo (CUNY) and Aman Saleem (UCL) Undergraduate Travel Chairs: Angela Langdon (Princeton) and Sashank Pisupati (Princeton) Fundraising Chair: Michael Long (NYU) Social Media Chair: Grace Lindsay (Columbia) Audio-Video Media Chair: Carlos Stein Brito (EPFL) Poster Design: Xaq Pitkow (Rice) PROGRAM COMMITTEE Jessica Cardin (Yale) Co-chair Blake Richards (McGill) Co-chair Yashar Ahmadian (Cambridge) Mark Andermann (Harvard) Omri Barak (Technion) Brice Bathellier (Paris) Yoram Burak (Hebrew University) Johannes Burge (U Penn) Chandramouli Chandrasekaran (Boston U) SueYeon Chung (Columbia) Jeremiah Cohen (Allen Inst) Anne Collins (Berkeley) Christine Constantinople (NYU) Carina Curto (Penn State) Jan Drugowitsch (Harvard) Tatiana Engel (CSHL) Sean Escola (Columbia) Annegret Falkner (Princeton) Kevin Franks (Duke) Rainer Friedrich (FMI Basel) Andrea Hasenstaub (UCSF) Monika Jadi (Yale) Santiago Jaramillo (U Oregon) Kohitij Kar (MIT) Narayanan Kasthuri (U Chicago) Jens Kremkow (Berlin) Guillaume Lajoie (MILA) Sukbin Lim (Shanghai) Scott Linderman (Stanford) Ashok Litwin-Kumar (Columbia) Mackenzie Mathis (EPFL) Paul Miller (Brandeis) Ida Momennejad (Microsoft) Eilif Muller (U Montreal) Marieke Mur (Western U) Kathy Nagel (NYU) Daniel O'Connor (Johns Hopkins) Hysell Oviedo (CUNY) Il Memming Park (Stony Brook) Joseph Paton (Champalimaud) Adrien Peyrache (McGill) Xaq Pitkow (Rice) Kanaka Rajan (Mount Sinai) Nathalie Rochefort (Edinburgh) Aman Saleem (UCL) Cristina Savin (NYU) Tatyana Sharpee (Salk) Aparna Suvrathan (McGill) Saori Tanaka (ATR) Daniela Vallentin (MPI Ornithology) Melissa Warden (Cornell) Brad Wyble (U Penn) Marta Zlatic (Cambridge) EXECUTIVE COMMITTEE Stephanie Palmer (U Chicago) Zachary Mainen (Champalimaud) Alexandre Pouget (U Geneva) Anthony Zador (CSHL) CONTACT meeting [at] cosyne.org ----------------------------------------------------- COSYNE DEIA COMMITTEE ----------------------------------------------------- The Cosyne Diversity, Equity, Inclusion, and Access (DEIA) committee aims to promote practices of inclusiveness at the meeting. We are currently seeking two additional committee members to participate in the planning for Cosyne 2023. To get involved, please see www.cosyne.org for details on how to apply. ----------------------------------------------------- CALL FOR WORKSHOP PROPOSALS ----------------------------------------------------- A series of workshops will be held after the main Cosyne meeting. The goal is to provide an informal forum for the discussion of important research questions and challenges. Controversial issues, open problems, comparisons of competing approaches, and alternative viewpoints are encouraged. The overarching goal of all workshops should be the integration of empirical and theoretical approaches, in an environment that fosters collegial discussion and debate. - There will be 6-10 workshops/day, running in parallel. - Each workshop is expected to draw between 15 and 80 people. - The workshops will be split into morning and late afternoon sessions. - Workshops will be held in Mont-Tremblant, QC, Canada. - Workshop speakers do NOT receive free registration, travel expenses, or accommodation for either the main meeting or the workshop sessions. Organizers should let invited speakers know that they are expected to pay for workshop registration fees. Workshop organizer responsibilities include coordinating workshop participation and content, scheduling all speakers, submitting a final schedule for the workshop program, and moderating the discussion. Organizers can, but need not, be speakers. One complimentary (free) organizer registration is provided per workshop. For workshops with two organizers, the free registration can be given to one of the organizers or split evenly between them. Any required multimedia resources beyond a projector, screen, and microphones will be the responsibility of the workshop organizers to coordinate with Cosyne and the workshop venue A/V staff. EVALUATION CRITERIA As stated above, the goal of Cosyne workshops is to provide an interactive, informal forum for discussions. Relevant topics include, but are not limited to: sensory processing; motor planning and control; functional neural circuits; motivation, reward and decision making; learning and memory; adaptation and plasticity; neural coding; neural circuitry and network models; and methods in computational or systems neuroscience. Workshop proposals will be evaluated by the Cosyne Workshop Chairs, and a subset of the proposals will be selected. The proposals will be evaluated according to the following six metrics (which will be weighted equally): - Relevance to the Cosyne community - Integration of experimental and theoretical issues - Current interest in the topic in the scientific community - Potential for new research directions and interactions to emerge - Distinctive scope/approach compared to other workshops (including previous years’) - Diversity and equity in the proposed speaker (we are looking for representation of women or nonbinary individuals, individuals from other underrepresented groups, and a balance of established and early career researchers) WORKSHOP FULL PROPOSALS - Deadline 07 November 2022 Past years have involved pre-proposal submissions, but this year we will process only full submissions, with a deadline of 07 November 2022. To submit your Cosyne 2023 Workshop Proposal, please visit Cosyne.org -> Workshops -> Call for Proposals In order to foster discussion within Workshops and reduce overlap between workshops, organizers should inform invited speakers that a speaker can take part in no more than two Workshops. The proposals will include: - Name(s) and email address(es) of the organizers (2 organizers per session is strongly recommended, but 3 will be allowed). - A title. - A brief description of 1) what the workshop will address and accomplish, 2) why the topic is of interest, 3) who is the targeted group of participants. - Names and email addresses of speakers, who should already have agreed to participate should the proposal be accepted. - Proposed workshop length (1 or 2 days). Most workshops will be limited to a single day. If you think your workshop needs two days, please explain why. - A brief resume of the workshop organizer(s) along with a short list of workshop-relevant publications (about half a page total). - A description of how you have addressed diversity and equity in your workshop. Experience has shown that the best discussions during a workshop are those that arise spontaneously. A good way to foster these is to have short talks and long question periods (e.g. 30+15 minutes), and to have plenty of breaks. We recommend keeping the number of talks small (i.e., fewer than 10 talks per day). WORKSHOP COSTS Detailed registration costs, etc, will be at www.cosyne.org. Please note: Cosyne does NOT provide travel funding for workshop speakers. Organizers should let invited speakers know that they are expected to pay for workshop registration fees. Participants are encouraged to register early, in order to qualify for discounted registration rates. One complimentary (free) organizer registration is provided per workshop. For workshops with two organizers, the free registration can be given to one of the organizers or split evenly between them. COSYNE 2023 WORKSHOP CHAIRS Anna Schapiro (U Penn) and Andrew Saxe (Oxford) COSYNE WORKSHOPS CONTACT workshops [at] cosyne.org ----------------------------------------------------- COSYNE MAILING LISTS ----------------------------------------------------- Please consider adding yourself to Cosyne mailing lists (groups) to receive email updates with various Cosyne-related information and join in helpful discussions. See Cosyne.org -> About-> Mailing lists for details.

Oct. 4, 2022

Prestigious research fellow position in Neuromorphic computing

by Michael Schmuker

The University of Hertfordshire is hiring a Vice-Chancellors Research Fellow (VCRF) in Neuromorphic Computing, a prestigious position that provides the successful candidate with the opportunity to build a research career. The VCRF in Neuromorphic Computing will be embedded in a leading team of researchers who advance computational olfactory neuroscience, mapping the chemical space of odorants, electronic gas sensing, and gas-based robotic navigation. The successful candidate will therefore have the unique opportunity to develop an internationally leading research agenda in this field. We are looking for candidates who already have established a track record related to either neuromorphic computing, or electronic olfaction, or computational neuroscience, that should be documented by publications in peer-reviewed journals. Please see the advert and apply here: https://www.jobs.ac.uk/job/CTN846/vice-chancellors-research-fellow-in-neuro… <https://www.jobs.ac.uk/job/CTN846/vice-chancellors-research-fellow-in-neuro…> Closing date 11th Oct. Please get in touch for informal inquiries: m.schmuker(a)herts.ac.uk <mailto:m.schmuker@herts.ac.uk> Best wishes, Michael -- Dr Michael Schmuker AFHEA Professor of Neural Computation Biocomputation Group University of Hertfordshire http://biomachinelearning.net

Oct. 4, 2022

Swartz postdoctoral fellowship in theoretical neuroscience at Harvard

by Blum, Kenneth I.

The Swartz Program at Harvard University seeks applicants for a postdoctoral fellow in theoretical and computational neuroscience Based on a grant from the Swartz Foundation, a Swartz postdoctoral fellowship<https://cbs.fas.harvard.edu/research/theory/#swartz> is available at Harvard University with a start date in the fall of 2023. Postdocs join a vibrant group of theoretical<https://websites.harvard.edu/cbs/research/theory/> and experimental neuroscientists and theorists in allied fields at Harvard’s Center for Brain Science<https://websites.harvard.edu/cbs/>. The Center for Brain Science includes faculty doing research on a wide variety of topics, including neural mechanisms of rodent learning, decision-making, and sex-specific and social behaviors; reinforcement learning in rodents and humans; human motor control; behavioral and fMRI studies of human cognition; circuit mechanisms of learning and behavior in worms, larval flies, and larval zebrafish; circuit mechanisms of individual differences in flies and humans; rodent and fly olfaction; inhibitory circuit development; retinal circuits; and large-scale reconstruction of detailed brain circuitry. Applications will be considered beginning October 1, 2022 and continuing until the position is filled. Interested applicants should immediately send a CV, statement of research interests, and arrange for three letters of reference to be sent to Haim Sompolinsky (haim(a)fiz.huji.ac.il<mailto:haim@fiz.huji.ac.il>) or Kenneth Blum (kenneth_blum(a)harvard.edu<mailto:kenneth_blum@harvard.edu>). Applications should have “Swartz Fellowship” in the subject line. Harvard University is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, gender identity, sexual orientation, pregnancy and pregnancy-related conditions, or any other characteristic protected by law.

Oct. 4, 2022

Online Symposium on Computational Approaches to the Mind

by Nadine Spychala

Dear all, we invite you to participate in a *one-day online-only symposium* on *21st October 2022 *- free of charge and open to all: Rethinking Computational Approaches to the Mind - Fundamental Challenges and Future Perspectives - This event will bring together researchers with expertise in various areas such as complexity science, machine learning & artificial intelligence, information theory & data science, as well as computational/theoretical neuroscience & philosophy to explore different computational approaches in the study of the “mind” (in brains and/or machines): 1. What are those approaches essentially about? 2. What are major benefits & caveats? 3. Do different approaches speak to, complement, or contradict each other? 4. What are the *current challenges* in computational approaches to understand the mind, and what could bring progress? The event is organized within the “Sensation and Perception to Awareness: Leverhulme Doctoral Scholarship Programme <https://www.sussex.ac.uk/sensation/>” at the University of Sussex, and will comprise a set of talks followed by a panel discussion. Find more info - including how to register - on our event website <https://computationalmind.github.io/>. Feel free to spread widely in your networks. We look forward to a day of exciting talks and discussions! Nadine Spychala, Tomasz Korbak, & Federico Micheli (event organizers)

Oct. 4, 2022

Jobs at the Allen Institute: linking neuronal function, cell types, and connectivity

by Anton Arkhipov

Dear Colleagues, We are hiring for multiple positions in a new ambitious project supported by the NIH U01 grant from the BICAN consortium (please see the announcement<https://www.nimh.nih.gov/news/science-news/2022/nih-brain-initiative-launch…>). Combining optical physiology in vivo with spatial transcriptomics and electron microscopy, we aim to link cell types of the mouse cortex with their function. The project is led by Marina Garrett (Allen Institute), Jack Waters (Allen Institute), Jerry Chen (Boston University), and Anton Arkhipov (Allen Institute). Scientist – Imaging: The person in this position will lead experimental imaging work to utilize and improve the spatial transcriptomics platform used in this project. https://alleninstitute.hrmdirect.com/employment/job-opening.php?req=2212881 Scientist – Analysis of Connectome and Functional Activity: This scientist will focus on linking the connectome and morphologies of cortical neurons to their activity in vivo, using the Electron Microscopy (EM) volume of 1 mm3 of the mouse visual cortex obtained by the Allen Institute. https://alleninstitute.hrmdirect.com/employment/job-opening.php?req=2209286 Scientist - Neurophysiology Data Analysis: This scientist will focus on the analysis of the visual physiology data from 2p calcium imaging in vivo to study neural coding and circuit dynamics. https://alleninstitute.hrmdirect.com/employment/job-opening.php?req=2231731 Software Engineer - Tools for Neurophysiology Data Analysis: The software engineer will build software tools and infrastructure to support processing and analysis of multi-modal image-based datasets in this project. https://alleninstitute.hrmdirect.com/employment/job-opening.php?req=2232755 Scientist - Neural Data Analysis: This scientist will focus on linking the 2p calcium imaging and spatial transcriptomics modalities for individual cells, including tasks like co-registration and exploration of statistical relationships between the functional and transcriptomics types. https://alleninstitute.hrmdirect.com/employment/job-opening.php?req=1937290 Please consider applying and reach out if you have any questions. And we will appreciate it if you help us spread the word about these opportunities! Best wishes, Anton. Anton Arkhipov Associate Investigator T: 206.548.8414 E: antona(a)alleninstitute.org<mailto:antona@alleninstitute.org> [Text Description automatically generated] alleninstitute.org<https://alleninstitute.org> brain-map.org

Oct. 4, 2022

NIH-funded Postdoc or Software Developer position on multiscale brain modeling

by Shailesh Appukuttan

*(posting on behalf of Dr. Salvador Dura-Bernal)* An NIH-funded Postdoc or Software Developer position is now available in the Dura-Bernal Lab <http://dura-bernal.org/> at the State University of New York (SUNY) Downstate Health Sciences (Brooklyn, New York). The position is focused on multiscale modeling of the brain, more specifically, developing a co-simulation interface between the NetPyNE <http://www.netpyne.org/> and The Virtual Brain <http://dura-bernal.org/www.thevirtualbrain.org> (TVB) tools, which will link the molecular, cellular, circuit and whole-brain network scales. The resulting multiscale models will help interpret experimental data ranging from single cell recordings and LFP up to EEG and fMRI. For details please visit: http://dura-bernal.org/postdoc-2022 or email salvador.dura-bernal(a)downstate.edu

Oct. 3, 2022

Extended deadline (Nov 30): Biological Cybernetics Special Issue: What can Computer Vision learn from Visual Neuroscience?

by Jeffrey L Krichmar

Dear Colleagues, Due to numerous requests, we have extended the deadline for submitting a paper to the Biological Cybernetics Special Issue: What can Computer Vision learn from Visual Neuroscience? New Submission deadline: November 30, 2022 https://www.springer.com/journal/422/updates/20421374 This special issue invites original research and review articles related to topics in biological vision that can potentially benefit computer vision systems. The following is a non exhaustive list of topics in biological vision that can also benefit computer vision systems. • Active vision’s role in visual search, scene understanding, social interactions, etc. • Learning in the visual system. Learning in biology is continual, few-shot, and adversarially robust. • The roles of recurrent and top-down connections in the visual cortex. • Spike based spatiotemporal processing and its implications for neuromorphic vision. • Motion perception in dynamic environments. • Neural coding schemes in the visual system (e.g., sparse coding, predictive coding, and temporal coding.) • The roles of attention mechanisms in biological vision. How to submit: Please submit your manuscript using the journal online submission system following the Biological Cybernetics submission guidelines. Guest Editors: Kexin Chen - Department of Cognitive Sciences, University of California, Irvine Hirak J. Kashyap - Department of Computer Science, University of California, Irvine Jeffrey L. Krichmar - Department of Cognitive Sciences, Department of Computer Science, University of California, Irvine Xiumin Li - College of Automation, Chongqing University, Chongqing, China If you have any questions, please reach out to one of the guest editors. Best regards, Jeff Krichmar Department of Cognitive Sciences 2328 Social & Behavioral Sciences Gateway University of California, Irvine Irvine, CA 92697-5100 jkrichma(a)uci.edu http://www.socsci.uci.edu/~jkrichma

Sept. 30, 2022

Brown University Postdoc (and other positions) in Systems Neuroscience

by Theresa Desrochers

The Desrochers Lab at Brown University is currently recruiting multiple positions. The text that follows is specific to a postdoc. Please contact Dr. Desrochers if you are interested in other (e.g., graduate student or RA) positions. We invite applications for a unique Postdoctoral Research Associate position to study the neural bases of cognitive and behavioral sequences in the laboratory of Dr. Theresa Desrochers in the Department of Neuroscience at Brown University. The position will include the opportunity to study behaving NHPs using fMRI, neurophysiology, and/or computational techniques. The Desrochers Lab (http://neuroscience.brown.edu/desrochers) provides a unique cross-level and cross-species training environment situated within a highly collaborative research environment fostered by Brown University and the Carney Institute for Brain Science (https://www.brown.edu/carney) With the research and brain science communities growing, it is an exciting time to be at Brown University. Applicants should have a strong background in systems neuroscience, behavioral training, electrophysiology, or fMRI. Strong quantitative skills and previous experience with animals and/or NHPs is preferred. Applicants must hold a Ph.D. in Neuroscience, Psychology, or a related discipline or must show evidence that the Ph.D. will be completed before the start of the position. This funded position is initially for 12 months with the possibility of renewal. Compensation will be commensurate with relevant experience according to the NIH scale. Brown University is an EEO/AA employer and encourages applications from minorities and women. Review of applications will begin immediately and will continue until the position is filled or the search is closed. For more information, please contact theresa_desrochers(a)brown.edu. ~Theresa -- Theresa M. Desrochers, Ph.D. Rosenberg Assistant Professor of Brain Science Department of Neuroscience Department of Psychiatry and Human Behavior (courtesy) Carney Institute for Brain Science Brown University http://neuroscience.brown.edu/desrochers

Sept. 30, 2022

Computational Neuroscience Position

by Neymotin, Samuel (NKI)

A computational neuroscience postdoc position is available at the Nathan Kline Institute for Psychiatric Research (https://www.nki.rfmh.org) to work on recently awarded grants from NIH (MPI: Schroeder, Bickel, Neymotin) and ARO (PI: Neymotin). The NIH project aims to investigate the brain's dynamic circuit motifs underlying internal vs. external-oriented processes in the auditory system, using a combination of electrophysiology and biophysical circuit modeling of the thalamocortical system. The ARO project involves developing circuit models of the hippocampus interfaced with virtual agents, and training the agents/models to perform spatial navigation tasks using biologically-inspired learning rules. Applicants should have a strong background in: multiscale modeling using NEURON/NetPyNE, Python software development, neural data analysis, machine learning, and writing/presenting research. To find out more, email Sam Neymotin (samuel.neymotin(a)nki.rfmh.org) To apply, send a CV and cover letter. NKI is an equal opportunity employer. ________________________________ IMPORTANT NOTICE: This e-mail is meant only for the use of the intended recipient. It may contain confidential information which is legally privileged or otherwise protected by law. If you received this e-mail in error or from someone who was not authorized to send it to you, you are strictly prohibited from reviewing, using, disseminating, distributing or copying the e-mail. PLEASE NOTIFY US IMMEDIATELY OF THE ERROR BY RETURN E-MAIL AND DELETE THIS MESSAGE FROM YOUR SYSTEM. Thank you for your cooperation.

Sept. 29, 2022

Postdoc (3 years) in computational neuroscience / computational neurology

by Daun, Silvia

Dear All, the Daun lab at the University of Cologne / the Research Center Juelich in Germany is seeking a Postdoc to join a project on the computational modeling of the neural processes underlying motor control: Your Job: In comparison to sensory, cognitive, or affective-emotional systems, the motor system’s output is directly quantifiable and comparable across species. When studying the neural mechanisms underlying motor control, behavioral readouts across species offer the potential to overcome one grand challenge in neuroscience: bridging the gap between molecular, cellular, and systems levels. Importantly, the motor system is affected in many, if not all, neurological and psychiatric disorders. Hence, a more comprehensive understanding of the motor system will further our understanding of the neural mechanisms underlying neurological and psychiatric disorders. Likewise, neuropsychiatric diseases allow novel insights into the motor system’s (dys-)function and testing models of motor control. The successful candidate will be part of a collaborative research center (CRC1451; https://www.crc1451.uni-koeln.de)<https://www.crc1451.uni-koeln.de),/> located at the University of Cologne that brings together neuroscientists investigating neural processes underlying motor control on these different levels in animals and humans, in both health and neuropsychiatric diseases. This includes: * Being part of the Project INF of the CRC1451: Data Management for Computational Modeling (https://www.crc1451.uni-koeln.de/index.php/inf/) Within this project they will be responsible for the development of data-driven, cross-species computational models of motor control which shall be based on the data collected in the individual and central projects of the CRC1451. The rich data collection contains behavioral and kinematic data of humans and mice (locomotion); fMRI, EEG and TMS data from healthy subjects and patients (with stroke, Alzheimers’ or Parkinsons’ disease as well as tic disorders) as well as electrophysiological recordings from mice. * Presentation and publication of the results * Interaction with team members and collaborators from Psychology, Medicine, Biology and Computational Neuroscience * Participation in the CRC1451 events Your Profile: * Completed study (Master) in Computer Science, Computational Neuroscience, Physics, Mathematics, Biomedical Engineering * Outstanding doctoral degree in one of the above disciplines * Significant programming skills (preferably in Matlab or Python) * Strong, long-standing experience in data-driven computational modeling * Keen interest in understanding the motor system * Proven scientific achievements as evidenced by publications in international, peer-reviewed journals * Interest in combining basic research and translational research on patients * Good command of English * High social competence and organizational talent * High motivation Our Offer: We work on the very latest issues that impact our society and are offering you the chance to actively help in shaping the change! We support you in your work with: * A large research campus with green spaces, offering the best possible means for networking with colleagues and pursuing sports alongside work * A stimulating, collaborative, and international research environment * Comprehensive training courses and individual opportunities for personal and professional further development * Extensive company health management * Ideal conditions for balancing work and private life, as well as a family-friendly corporate policy * Targeted services for international employees, e.g. through our International Advisory Service We offer you an exciting and varied role in an international and interdisciplinary working environment. The position is for a fixed term of 3 years. Salary and social benefits will conform to the provisions of the Collective Agreement for the Public Service (TVöD-Bund), pay group 13, depending on the applicant’s qualifications and the precise nature of the tasks assigned to them. We welcome applications from people with diverse backgrounds, e.g. in terms of age, gender, disability, sexual orientation / identity, and social, ethnic and religious origin. A diverse and inclusive working environment with equal opportunities in which everyone can realize their potential is important to us. For informations on how to apply please refer to https://www.fz-juelich.de/de/karriere/stellenangebote/2022-395 Closing date: 02.11.2022 Best, Silvia Prof. Dr. rer. nat. Silvia Daun Stellvertreterin des INM-3 Direktors Stellvertretende Sprecherin des SFB1451 Kognitive Neurowissenschaften Institut für Neurowissenschaften und Medizin (INM-3) Forschungszentrum Jülich Leo-Brandt-Str. 5 52425 Jülich Telefon: 02461-61-8638 Telefax: 02461-61-9853 Email: s.daun(a)fz-juelich.de https://www.fz-juelich.de/de/inm/inm-3 <https://www.fz-juelich.de/de/inm/inm-3>und Zoologisches Institut Universität zu Köln Biowissenschaftliches Zentrum, Zi. 1.104 Zülpicher-Straße 47b 50674 Köln Telefon: 0221-470-3829 Telefax: 0221-470-4889 Email: silvia.daun(a)uni-koeln.de https://zoologie.uni-koeln.de/arbeitsgruppen/ag-daun ------------------------------------------------------------------------------------------------ ------------------------------------------------------------------------------------------------ Forschungszentrum Juelich GmbH 52425 Juelich Sitz der Gesellschaft: Juelich Eingetragen im Handelsregister des Amtsgerichts Dueren Nr. HR B 3498 Vorsitzender des Aufsichtsrats: MinDir Volker Rieke Geschaeftsfuehrung: Prof. Dr.-Ing. Wolfgang Marquardt (Vorsitzender), Karsten Beneke (stellv. Vorsitzender), Prof. Dr. Astrid Lambrecht, Prof. Dr. Frauke Melchior ------------------------------------------------------------------------------------------------ ------------------------------------------------------------------------------------------------

Sept. 28, 2022

Post-doc @ Italian Institute of Technology, Ferrara

by Alessandro D'Ausilio

Post-doc position in Human Neurophysiology of Sensorimotor Communication Duration: 2 years, renewable for 3 more. Who: Physicists, computer scientists, biomedical/electrical engineers, biologists, biotechnologist, medical doctors and experimental psychologists with a PhD in Neuroscience or related disciplines. We will positively evaluate the following: Documented experience with EEG/TMS/MoCap. Documented experience in advanced data analysis. Programming skills. Team-working skills. Work environment: You will be working in very friendly environment within a larger multidisciplinary group of about 30-35 people. Your will be part of a sub-group composed by 2 other post-docs and 8 PhD students working side by side with an advanced statistical methods group (1 researcher + 3 post-docs). Open door policy. Where: The Center for Translational Neurophysiology of Speech and Communication (CTNSC) @ Italian Institute of Technology (IIT), hosted by the University of Ferrara. The city: the CTNSC is hosted in a prestigious historical building in the city center. Ferrara is a well connected renaissance city (30-min to Bologna, 40-min to Padua, 60-min to Venice; 2 nearby international airports), bustling with students (https://whc.unesco.org/en/list/733 <https://whc.unesco.org/en/list/733>). Accommodations are relatively cheap and you won’t need a car as everyone uses a bicycle. Feel free to contact me for more info: alessandro.dausilio(a)gmail.com <mailto:alessandro.dausilio@gmail.com> CTNSC website: https://www.iit.it/it/web/multiscale-brain-communication <https://www.iit.it/it/web/multiscale-brain-communication> Application website: https://iit.taleo.net/careersection/ex/jobdetail.ftl?lang=en&job=22000066 <https://iit.taleo.net/careersection/ex/jobdetail.ftl?lang=en&job=22000066> DEADLINE: October 15th, 2022

Sept. 28, 2022

Job Openings: Research Assistant Professor in Computer Science (3 vacancies) at Hong Kong Baptist University

by COMP HKBU

The Department of Computer Science at Hong Kong Baptist University presently offers BSc, MSc, MPhil, and PhD programmes, and is now seeking outstanding applicants for the following positions. *Research Assistant Professor in Computer Science (3 vacancies) (PR0174/22-23)* The positions are created and funded as part of the strategic research development initiatives in the Department. The appointees will be provided with a conducive research environment, and will work within an established group of faculty in the Department. They are also expected to perform group-based high-impact research and undertake some teaching duties. Applicants should possess a PhD degree in Computer Science, Computer Engineering, Information Systems, or a related field, and sufficiently demonstrate abilities to conduct high-quality research in one of the Department's key research areas: (i) Artificial Intelligence and Machine Learning; (ii) Big Data and Data Management; (iii) Computer Vision and Pattern Recognition; and (iv) Distributed Systems and Networking. These key research areas have a special thematic focus on (a) Health Informatics and (b) Security and Privacy-aware Computing related applications. The initial appointment will be made on a fixed-term contract of two to three years. Re-appointment thereafter is subject to mutual agreement. For enquiry, please contact Prof. Jianliang Xu, Head of Department (email: xujl(a)comp.hkbu.edu.hk) More information about the Department can be found on its website at https://www.comp.hkbu.edu.hk. *Salary will be commensurate with qualifications and experience.* Application Procedure: Applicants are invited to submit their applications at the HKBU e-Recruitment System (jobs.hkbu.edu.hk) with samples of publications, preferably the three best ones out of their most recent publications/works. Those should also request two referees to send in confidential letters of reference, with the PR number (stated above) quoted on the letters, to the Human Resources Office (Email: recruit(a)hkbu.edu.hk <https://hro.hkbu.edu.hk/admin/recruit@hkbu.edu.hk>) direct. Those who are not invited for interview 4 months after the submission of the application may consider their applications unsuccessful. All application materials including publication samples, and scholarly/creative works will be disposed of after completion of the recruitment exercise. Details of the University's Personal Information Collection Statement can be found at http://hro.hkbu.edu.hk/pics. The University reserves the right not to make an appointment for the post advertised, and the appointment will be made according to the terms and conditions applicable at the time of offer. Review of applications is on-going until the positions are filled. URL: *https://www.comp.hkbu.edu.hk/v1/?page=job_vacancies&id=832 <https://www.comp.hkbu.edu.hk/v1/?page=job_vacancies&id=832>*

Sept. 28, 2022

DeepMath 2022 ( Nov 17th - 18th, San Diego) Registration

by Ahmed El Hady

**** *Dear all,* * **The**registration is open for DeepMath 2022 : ** https://www.eventbrite.com/e/deepmath-2022-registration-393832562797 We**have an amazing line up of invited**speakers: * Francis Bach**(INRIA) * Anima Anandkumar (CalTech) * Sara Solla**(Northwestern) * Berk Ustun**(UCSD) * Yisong Yue**(Caltech) * Courtney**Paquette (McGill) * Daniel Soudry ( Technion ) In**addition, we have a poster session and ample**opportunities for researchers across disciplines to discuss state of the art**research on the theoretical understanding of deep neural networks. So save your**spot . == Location == DeepMath 2022 will be held in**San Diego, CA, USA.. Stay tuned to the DeepMath website (www.deepmath-conference.com <http://www.deepmath-conference.com/>) for more details on venue and hotels ** ** The**talks will be freely live-streamed over YouTube and subsequently posted on the**DeepMath YouTube**channel : https://www.youtube.com/channel/UCamugMiftSeZo4EjdtePPyw/playlists Please get in touch in case you have**any outstanding questions. All the best, Ahmed El Hady On behalf of the DeepMath 2022**Organizational Committee ***

Sept. 26, 2022

Neuroimaging Statistics Faculty Opportunities

by Shuo Wang

Dear Colleagues, We have a neuroimaging statistics faculty position at Washington University in St. Louis: https://facultyopportunities.wustl.edu/Posting/Detail/1010785. Please apply if you are interested. Thank you, Shuo -- Shuo Wang, Ph.D. Assistant Professor Department of Radiology Washington University in St. Louis https://sites.wustl.edu/wanglab/

Sept. 26, 2022

Postdoc (3 years) in computational neuroscience/machine learning at the University of Nottingham (UK)

by Mark Humphries

The Humphries’ lab at the University of Nottingham is seeking a postdoc to join a project developing a precision medicine platform for neuromodulation, in collaboration with MachineMedicine Technologies and St George’s Hospital, London. A crucial unmet need in the management of Parkinson’s disease is how to reliably identify patients that would benefit from deep brain stimulation, the most effective treatment for Parkinson’s. The project team will create a machine-learning platform that synthesises wide-ranging personal and clinical data, combined with neural modelling, to predict the suitability of each Parkinson’s disease patient for deep brain stimulation. An exciting opportunity for the pipeline will be integrating computational models of the neural circuits disrupted in Parkinson’s. The Humphries’ lab researches fundamental insights into how the joint activity of neurons encodes actions in the world and is disrupted in movement disorders (https://www.humphries-lab.org) The post is for 3 years, full-time. Nottingham University welcomes researchers from around the globe. As part of this support, the university will provide financial support to the post-holder for all visa costs. For queries please contact Professor Mark Humphries, mark.humphries(a)nottingham.ac.uk<mailto:.humphries@nottingham.ac.uk>. For full details of the role and how to applyhttps://www.nottingham.ac.uk/jobs/currentvacancies/ref/SCI437522 Closing data: October 26th 2022 This message and any attachment are intended solely for the addressee and may contain confidential information. If you have received this message in error, please contact the sender and delete the email and attachment. Any views or opinions expressed by the author of this email do not necessarily reflect the views of the University of Nottingham. Email communications with the University of Nottingham may be monitored where permitted by law.

Sept. 26, 2022

Open PhD position at the Goethe University Frankfurt / Germany

by Claudius Gros

I would like to bring your attention our PhD-program in Computational Neurosciences / Complex Dynamical Systems at the Institute of Theoretical Physics, Goethe University Frankfurt, Germany Field(s): computational neurosciences, complex systems, theory neural networks, simulated robotics, game theory, dynamical systems. Application deadline: October 30, 2022 Contact: Prof. Claudius Gros, cgr[(a)]itp.uni-frankfurt.de We are developing new models and generative principles for complex systems, using a range of toolsets from dynamical systems theory, game theory, and the neurosciences. Examples are self-generated gaits for animals and robotic systems, criticality in autonomous networks, as well as investigations of the 'tragedy of the commons'. Several subjects are available for the announced PhD thesis, depending on the background of the successful candidate. The work will include analytical investigations and numerical simulations. The candidate must have a Diploma/Master in physics, an excellent academic track record and good computational skills. Experience or strong interest in the fields of complex systems, computational neurosciences and dynamical systems theory is expected. The degree of scientific research experience needs to be on the level of a German Diploma/Master The appointment will start late 2022 / early 2023, for up to three years. Interested applicants must submit a curriculum vitae, a list of publications and copies of the academic record. Name, affiliation and email of one or more potential references are to be given. Claudius Gros http://www.itp.uni-frankfurt.de/~gros ------------------------------------- The Johann Wolfgang Goethe University Frankfurt am Main is with over 46,000 students and around 4,600 employees one of the largest universities in Germany. Founded in 1914 by Frankfurt citizens and again in the legal form of a foundation since 2008, the Goethe University has a high level of independence, modernity and professional diversity. As a comprehensive university, the Goethe University Frankfurt offers and has 100 degree programs on five campuses in a total of 16 departments an outstanding research strength. The time limit for academic staff is based on the provisions of the Academic Term Contract Act in conjunction with the Hessian Higher Education Act. The university advocates equal rights for women and men and therefore encourages women to apply. Disabled applicants with equal qualifications will be given preferential consideration. ### ### Prof. Dr. Claudius Gros ### http://itp.uni-frankfurt.de/~gros ### ### Complex and Adaptive Dynamical Systems, A Primer ### A graduate-level textbook, Springer (2008/10/13/15) ### ### Life for barren exoplanets: The Genesis project ### https://link.springer.com/article/10.1007/s10509-016-2911-0 ###

Sept. 26, 2022

tenure-track faculty position at the University of Pennsylvania in auditory neuroscience

by Maria Neimark Geffen

Dear Colleagues, The University of Pennsylvania is recruiting a tenure-track assistant professor in auditory neuroscience. Please apply by November 1 via the link below to be part of our collaborative and interdisciplinary systems and computational neuroscience community. Please do not hesitate to reach out with any questions. With kind wishes, -Maria ______ Assistant Professor of Auditory Neuroscience, Tenure Track The Department of Otorhinolaryngology: Head and Neck Surgery at the Perelman School of Medicine at the University of Pennsylvania seeks candidates for an Assistant Professor position in the tenure track. Expertise is required in the specific area of systems neuroscience with a focus on identifying the neural correlates of hearing function or dysfunction with an emphasis on identifying the causal relationships between neural activity in individual neurons and/or circuits and learning or behavior. Particular areas of interest include computational neuroscience and translational approaches. Applicants must have an M.D. or Ph.D. or M.D./Ph.D. degree. Teaching responsibilities may include training of graduate students and post-doctoral investigators. Research or scholarship responsibilities may include building an independent research program in basic and/or translational studies in auditory neuroscience. Scholarship should include peer-reviewed publications and presentations of work at scientific meetings and other venues. The selected candidate will be expected to develop interactions with investigators not only in the department, but within the greater neuroscience community in the Perelman School of Medicine (e.g. the Computational Neuroscience Institute) and across the University campus. Ideally, the candidate should have the vision and ability to effectively interact with clinicians to establish and foster translational research programs within their research discipline. The ideal candidate should have completed advanced postdoctoral training or be an early career investigator with an exceptional record of research achievement demonstrating a trajectory for success in academic medicine. Key selection criteria will be in research excellence and originality of science. There is opportunity for a secondary appointment in a basic science department for the successful candidate. Candidates with a keen interest in building interdisciplinary programs through interactions across the basic and clinical departments within the Perelman School of Medicine, as well as other health-related schools at the University of Pennsylvania, are encouraged to apply. The Department of Otorhinolaryngology: Head and Neck Surgery is among the leading departments in the nation, and home to basic and translational scientists who conduct world-class research in auditory systems neuroscience. The Perelman School of Medicine at the University of Pennsylvania provides an intellectually vibrant and collaborative interdisciplinary environment, with a wealth of cutting-edge research resources. We seek candidates who embrace and reflect diversity in the broadest sense. The University of Pennsylvania is an EOE. Minorities/women/individuals with disabilities/protected veterans are encouraged to apply. To apply, visit https://apply.interfolio.com/100900 ______________________________ Maria N. Geffen, Ph.D. (she/her) Associate Professor Department of Otorhinolaryngology Department of Neuroscience Department of Neurology Co-Director, Computational Neuroscience Initiative Stemmler Hall G14 3450 Hamilton Walk Philadelphia PA 19104 (215)898-0782 mgeffen(a)pennmedicine.upenn.edu http://hosting.upenn.edu/hearing Twitter: @neimarkgeffen <http://twitter.com/neimarkgeffen>

Sept. 22, 2022

Announcement and call for abstracts, Benzon Symposium 67 – Bringing Circuit for Movement Together, Copenhagen, September 4-7, 2023

by Auke Ijspeert

Dear computational neuroscientists, The conference below with a wonderful list of speakers might interest researchers working on modeling motor control. Please check it out and prepare abstracts if interested. Best regards Auke Ijspeert Benzon Symposium 67 – Bringing Circuit for Movement Together *Copenhagen, September 4-7, 2023* https://benzon-foundation.dk/benzon-symposium-67-bringing-circuit-for-movem… <https://eur02.safelinks.protection.outlook.com/?url=https%3A%2F%2Fbenzon-fo…> Organizers: Ole Kiehn, Claire Wyart, Auke Ijspeert, Hans Bräuner-Osborne, and Finn Cilius Nielsen The Benzon symposia are international conferences on front line research in medical, pharmaceutical and related sciences funded by the Alfred Benzon Foundation. The idea of the 67^th Benzon Symposium *“Bringing Circuit for Movement Together”* is to bring together the world’s leading scientist together who work in different areas of movement control and regulation. A particular aspect is that the conference will bridge the sensory, cognitive, and emotional aspects of movement control as well as new computation approaches. With its lay-out it will create an intense and interactive environment for both young and experiences scientist. The Symposium will be a four-day scientific meeting, Monday to Thursday from 09:00 to 17:30. The format will be a combination of state-of-the-art lectures by invited speakers, selected oral-poster presentations and poster sessions. *Sessions:* * Functional organization of brainstem circuits controlling breathing and orofacial expression * Functional and molecular organization of spinal circuits controlling locomotion * Brainstem circuits for control of motor behavior * Action selection and motor strategies * Beyond the connectome: neuromodulation * Planning, motor learning, and decision making * Sensory-motor integration * Integration of cognitive brain functions and movement *Confirmed invited speakers:* * Ole Kiehn (DK) * Claire Wyart (F) * Mackenzie Mathis (CH) * Karl Deisseroth (USA) * May-Britt Moser (N) * Ann Graybiel (USA) * Cornelia Bargmann (USA) * Eve Marder (USA) * Rui Costa (P) * Megan Carey (USA) * Eiman Azim (USA) * David Kleinfeld (USA) * Martin Goulding (USA) * Sten Grillner (S) * Abdel ElManira (S) * Tadashi Isa (JP) * Silvia Arber (CH) * Dora Angelaki (USA) * Auke Ijspeert (CH) * Jack Feldman (USA) * Rejean Dubuc (C) * David McLean (USA) * Kimberly Dougherty (USA) * Bence P. Ölveczky (USA) Abstracts: In order to participate in the symposium, *one MUST submit an abstract before the deadline April 1^st , 2023 *(at noon). Please prioritize early registration as registrations are on a first come, first served basis. Abstracts submitted after this deadline will not be taken into consideration. *Submission round opens: March 1, 2023* *Submission round closes: April 1, 2023* Final registration/payment: (provided acceptance of abstract): May 15, 2023 Fee: TBA (scientific meeting, hotel accommodation Sunday-Thursday, official meals and social events). More info: https://benzon-foundation.dk/benzon-symposium-67-bringing-circuit-for-movem… <https://eur02.safelinks.protection.outlook.com/?url=https%3A%2F%2Fbenzon-fo…> -- ----------------------------------------------------------------- Prof Auke Jan Ijspeert Biorobotics Laboratory EPFL-STI-IBI-BIOROB, ME D1 1226, Station 9 EPFL, Ecole Polytechnique Fédérale de Lausanne CH 1015 Lausanne, Switzerland Office: ME D1 1226 Tel: +41 21 693 2658 Fax: +41 21 693 3705 www:http://biorob.epfl.ch Email:Auke.Ijspeert@epfl.ch -----------------------------------------------------------------

Sept. 22, 2022

NIH-funded Postdoc or Software Developer position on multiscale brain modeling

by Salvador Dura

An NIH-funded Postdoc or Software Developer position is now available in the Dura-Bernal Lab<http://dura-bernal.org/> at the State University of New York (SUNY) Downstate Health Sciences (Brooklyn, New York). The position is focused on multiscale modeling of the brain, more specifically, developing a co-simulation interface between the NetPyNE<http://dura-bernal.org/www.netpyne.org> and The Virtual Brain<http://dura-bernal.org/www.thevirtualbrain.org> (TVB) tools, which will link the molecular, cellular, circuit and whole-brain network scales. The resulting multiscale models will help interpret experimental data ranging from single cell recordings and LFP up to EEG and fMRI. For details please visit: http://dura-bernal.org/postdoc-2022

Sept. 20, 2022

postdoc position at UC San Diego

by Gal Mishne

A fully funded postdoc position is available in the research group of Dr. Gal Mishne at the Halıcıoğlu Data Science Institute (HDSI) at UC San Diego. This position is part of a multi-disciplinary project <https://ucsdnews.ucsd.edu/pressrelease/keck-foundation-study-dementia> in collaboration with the Ferguson <http://fergusonlab.ucsd.edu/> and Schöneberg <https://www.schoeneberglab.org/home> labs at UCSD to study dementia. Research will be primarily focused on developing models and analysis methods for dynamical networks extracted from cutting-edge 4D lattice light-sheet imaging of brain organoids collected in the Schöneberg lab. The position offers excellent interdisciplinary training possibilities at the intersection of machine learning, applied mathematics and biology. Applicants should have a Ph.D. in electrical/biomedical engineering, computer science, applied mathematics, neuroscience, or other related fields. Applicants can apply here: https://forms.gle/CQHWyKbxJUg84WV87 <https://forms.gle/CQHWyKbxJUg84WV87>. Women and under-represented minorities are strongly encouraged to apply. The position would ideally start as soon as possible (fall 2022). The Halıcıoğlu Data Science Institute is an academic unit at UC San Diego with a focused mission - to lay the groundwork for the scientific foundations of this emerging discipline, develop new methods and infrastructure, and train students, faculty and industrial partners to use data science in ways that will allow them to solve some of the world’s most pressing problems. ---- Gal Mishne Assistant Professor Halıcıoğlu Data Science Institute University of California San Diego http://mishne.ucsd.edu/ My working hours and your working hours may be different. Please do not feel obligated to reply outside of your normal working hours.

Sept. 20, 2022

Brain Criticality Hybrid Meeting 2022

by BATTAGLIA Demian

We are happy to announce that the next conference on “Criticality in Neural Systems 2022: Collective Behavior, Synchronization, and Complexity” will take place at the Porter Neuroscience Research Center (National Institute of Health, Bethesda, MD, USA) from Nov. 7 – 9th, 2022 (shortly before the SFN Meeting, San Diego) The conference will be held in a hybrid format, both in presence at NIH Bethesda and via Zoom. Presentations by the invited speakers, with ample time for discussions, including with online participants, will be complemented by a poster session (in presence and online) and by a selection of contributed spotlight presentations. Keeping line with previous editions of the Brain Criticality conferences series, this conference will present the latest experimental and theoretical advancements in the study of critical phenomena in brain activity and their functional relevance. While preserving emphasis on criticality, this edition will feature as well communications about general collective behavior and dynamic complexity in the brain (and other biological systems). REGISTRATION IS OPEN AND FREE ON https://braincriticality.org/ Deadline for registration in presence: October 9th Deadline for virtual registration: October 23rd Deadline for abstract submission (with spotlight oral preference): October 9th Deadline for abstract submission (poster only): October 23rd Confirmed Speakers Ad Aertsen (Freiburg, Germany) Dante Chialvo (Buenos Aires, Argentina) Karin Dahmen (Urbana-Champaign, IL) Irene Giardina (Rome, Italy) Michelle Girvan (College Park, MD) Moritz Helias (Jülich, Germany) Henrik Jensen (London, UK) Arvind Kumar (Stockholm, Sweden) Anna Levina (Tübingen, Germany) Klaus Linkenkaer-Hansen (Amsterdam, the Netherlands) Simona Olmi (Sesto Fiorentino, Italy) Orit Peleg (Boulder, CO) Pawel Romanczuk (Berlin, Germany) Woodrow Shew (Fayetteville, AR) James Shine (Sidney, Australia) Samir Suweis (Padova, Italy) Enzo Tagliazucchi (Buenos Aires, Argentina) Bradley Voytek (La Jolla, CA) Ralf Wessel (St Louis, MO) Changsong Zhou (Hong Kong, Popular Republic of China) Organizers Dietmar Plenz (Bethesda, MD) Lucilla de Arcangelis (Caserta, Italy) Miguel Angel Munoz (Granada, Spain) Mauro Copelli (Recife, Brazil) Demian Battaglia (Marseille & Strasbourg, France) For more information visit our website https://braincriticality.org/ or contact us over email.

Sept. 20, 2022

Faculty positions at Washington University in St Louis

by Geoffrey Goodhill

Assistant Professor positions in Theoretical/Computational Neuroscience The Department of Neuroscience at Washington University School of Medicine is currently recruiting investigators with the passion to create knowledge, pursue bold visions, and challenge canonical thinking as we expand into our new 600,000 sq ft purpose-built neurosciences research building. We are now seeking tenure-track investigators at the level of Assistant Professor to develop innovative research programs in Theoretical/Computational Neuroscience. Applicants should have a strong background in physics, mathematics, engineering or computer science, or any related field and hold a PhD. The successful candidates will join a thriving theoretical/computational neuroscience community at Washington University. We are particularly interested in researchers who are both creative and collaborative. The Department of Neuroscience has world-class research strengths in systems, circuits and behavior, cellular and molecular neuroscience using a variety of animal models including worms, flies, zebrafish, rodents and non-human primates. The Department’s focus on fundamental neuroscience, outstanding research support facilities, and the depth, breadth and collegiality of our culture provide an exceptional environment to launch your independent research program. Washington University is an Equal Opportunity Employer. Our Department highly values all our researchers, staff and trainees, and we provide an inclusive environment for people from diverse backgrounds and experiences. We are dedicated to advancing diversity and inclusion, core values shared by the School of Medicine and the entire university. Facilitated by the Department of Neuroscience liaison to the Office of Diversity, Equity and Inclusion at the Washington University School of Medicine, we are enabling initiatives that promote diversity and ensure that the department continues to be a welcoming place for everyone. For application instructions please see https://neuroscience.wustl.edu/assistant-professor-theoretical-computationa… Professor Geoffrey J Goodhill Departments of Neuroscience, Developmental Biology, Biomedical Engineering, and Electrical and Systems Engineering Washington University in St Louis St. Louis, MO 63110 g.goodhill(a)wustl.edu https://neuroscience.wustl.edu/people/geoffrey-goodhill-phd

Sept. 19, 2022

Postdoctoral fellowships at the Neuromathematics Center in Sao Paulo State, Brazil

by Antonio Roque

*Postdoctoral Fellowships inAcquisition, processing and quantitative analysis of neurobiological data* The Research, Innovation and Dissemination Center for Neuromathematics (NeuroMat), hosted by the University of São Paulo (USP), Brazil, and funded by the São Paulo Research Foundation (FAPESP), is offering two post-doctoral fellowships for recent PhDs with outstanding research potential. The fellowship will involve collaborations with research teams and laboratories associated with NeuroMat. The research to be developed by the post-doc fellow shall be strictly related to ongoing research lines developed by the NeuroMat team. The project may be developed at USP (São Paulo or Ribeirão Preto) or at UNICAMP (Campinas). We seek candidates capable of developing independent research in one of the research lines below: 1. Stochastic modeling of neurobiological data. 2. Acquisition, processing and quantitative analysis of electrophysiological data. 3. Development of neurostimulation protocols. Candidates to the first research line are required to have a strong background in probability theory with an emphasis on stochastic processes. Candidates to the second research line are required to have a strong background in neuroscience with previous experience in neurophysiological data acquisition, processing and analysis, and knowledge of computer programming. Candidates to the third research line are required to have a solid background in biomedical instrumentation or medical physics with previous experience in transcranial magnetic stimulation, neuronavigation and knowledge of robotics and computer programming. The initial appointment is for one year, with a possible extension to up to one year, conditional on research progress. The fellowship is competitive at an international level, and fellows benefit from extra funds for travel and research expenses plus limited support for relocation expenses. Application Instructions: Applicants should complete and submit the application form. The following documents and information are requested (please see the form for further details): - Summary of the CV, in the format required by FAPESP (see fapesp.br/en/6351 for instructions); - List of publications, with links to those available online. - A summary of the research plan for the next year, up to 5 pages in length. This document must explicitly state for which of the three aforementioned profiles the candidate has applied. It should also address how this research plan fits within the framework of the NeuroMat research program. - Pointers to other research related output, such as software, web pages, and so forth. Candidates should be willing to send copies of publications, if requested; - Any further information deemed relevant to the application. In addition to the above, we require at least two recommendation letters. Those should be mailed by the recommenders directly to postdoc-appl(a)numec.prp.usp.br. Timetable: Candidates are encouraged to apply at their earliest convenience until October 31, 2022. Appointment is expected to start by December 1st, 2022. The initial period of the position lasts for 12 months, with possible renewals for up to one year. This opportunity is open to candidates of any nationality. The selected candidates will be awarded FAPESP Postdoctoral fellowships in the amount of R$8.479,20 monthly and a research contingency fund, equivalent to 10% of the annual value of the fellowship, which should be spent on items directly related to the research activity. More details on FAPESP's postdoctoral fellowships are available at: fapesp.br/en/5427. -- Dr. Antonio C. Roque Professor Associado Departamento de Fisica FFCLRP, Universidade de Sao Paulo 14040-901 Ribeirao Preto-SP Brazil - Brasil E-mails: antonior(a)usp.br <antonior(a)ffclrp.usp.br> aroquesilva(a)gmail.com URL: www.sisne.org Tels: +55 16 3315-3768 <+55%2016%203315-3768> (sala/office); +55 16 3315-3859 <+55%2016%203315-3859> (lab) FAX: +55 16 3315-4887 <+55%2016%203315-4887>

Sept. 19, 2022

Job: ML Engineer to extend ReservoirPy library for health data (Reservoir Computing)

by Xavier Hinaut

Last days to apply for this engineer position on ReservoirPy: https://jobs.inria.fr/public/classic/en/offres/2022-05343 Best regards, Xavier Hinaut > Le 6 sept. 2022 à 12:18, Xavier Hinaut <xavier.hinaut(a)inria.fr> a écrit : > > We are looking for an engineer for at least one year to work with the open source ReservoirPy library on health data. > You will be working in Bordeaux, France in the Mnemosyne computational neuroscience group https://team.inria.fr/mnemosyne <https://team.inria.fr/mnemosyne> in collaboration with other Bordeaux teams involved in biostatistics and machine learning. > > More info and online application: https://jobs.inria.fr/public/classic/en/offres <https://jobs.inria.fr/public/classic/en/offres> > > * ReservoirPy > ReservoirPy [1, 2, 3] is a simple user-friendly library based on Python scientific modules. It provides a flexible interface to implement efficient Reservoir Computing (RC) [5] architectures with a particular focus on Echo State Networks (ESN) [4]. Advanced features of ReservoirPy allow to improve computation time efficiency on a simple laptop compared to basic Python implementation. Some of its features are: offline and online training, parallel implementation, sparse matrix computation, fast spectral initialization, advanced learning rules (e.g. Intrinsic Plasticity) etc. It also makes possible to easily create complex architectures with multiple reservoirs (e.g. deep reservoirs), readouts, and complex feedback loops. Moreover, graphical tools are included to easily explore hyperparameters with the help of the hyperopt library. It includes several tutorials exploring exotic architectures and examples of scientific papers reproduction. > > Github: https://github.com/reservoirpy/reservoirpy <https://github.com/reservoirpy/reservoirpy> > Documentation: https://reservoirpy.readthedocs.io <https://reservoirpy.readthedocs.io/> > Related projects: https://github.com/reservoirpy <https://github.com/reservoirpy> > Twitter: https://twitter.com/reservoirpy <https://twitter.com/reservoirpy> > > * Deadline: 20th of September 2022 > For informal questions send an email to xavier dot hinaut at inria dot fr. > Online application: https://jobs.inria.fr/public/classic/en/offres <https://jobs.inria.fr/public/classic/en/offres> > > * Contract > Engineer contract of 1 year, with possibility to extend the contract to more years or to continue in the team as PhD student. > > * Benefits package > - Subsidized meals > - Partial reimbursement of public transport costs > - Possibility of partial teleworking and flexible organization of working hours > - Professional equipment available (videoconferencing, loan of computer equipment, etc.) > - Social, cultural and sports events and activities > - Access to vocational training > - Social security coverage > > [1] Trouvain N, Pedrelli L, Dinh TT, Hinaut X (2020). Reservoirpy: an efficient and user-friendly library to design echo state networks. International Conference on Artificial Neural Networks, 494-505. https://hal.inria.fr/hal-02595026v2/document <https://hal.inria.fr/hal-02595026v2/document> > [2] Trouvain, N., Rougier, N. P., & Hinaut, X. (2022). Create Efficient and Complex Reservoir Computing Architectures with ReservoirPy. In FROM ANIMALS TO ANIMATS 16: The 16th International Conference on the Simulation of Adaptive Behavior (SAB2022). https://hal.inria.fr/hal-03761440/document <https://hal.inria.fr/hal-03761440/document> > [3] Nathan Trouvain, Xavier Hinaut. reservoirpy: A Simple and Flexible Reservoir Computing Tool in Python. 2022. HAL preprint hal-03699931. https://hal.inria.fr/hal-03699931/document <https://hal.inria.fr/hal-03699931/document> > [4] Jaeger, H., & Haas, H. (2004). Harnessing nonlinearity: Predicting chaotic systems and saving energy in wireless communication. science, 304(5667), 78-80. > [5] Lukoševičius, M., & Jaeger, H. (2009). Reservoir computing approaches to recurrent neural network training. Computer Science Review, 3(3), 127-149. > > > Xavier Hinaut > Inria Research Scientist > www.xavierhinaut.com <http://www.xavierhinaut.com/> -- +33 5 33 51 48 01 > Mnemosyne team, Inria, Bordeaux, France -- https://team.inria.fr/mnemosyne <https://team.inria.fr/mnemosyne> > & LaBRI, Bordeaux University -- https://www4.labri.fr/en/formal-methods-and-models <https://www4.labri.fr/en/formal-methods-and-models> > & IMN (Neurodegeneratives Diseases Institute) -- http://www.imn-bordeaux.org/en <http://www.imn-bordeaux.org/en> > --- > Our Reservoir Computing library: https://github.com/reservoirpy/reservoirpy <https://github.com/reservoirpy/reservoirpy>

Sept. 19, 2022

SNUFA2022 online meeting reminder -- Spiking Neural Networks as Universal Function Approximators

by Friedemann Zenke

Dear colleagues, We are happy to invite you to SNUFA2022 (https://snufa.net/2022/) your friendly online workshop on spiking neural networks and anything that spikes to compute. The focused workshop takes place on November 9-10, 2022. As usual, it covers topics from comp neuro to neuromorphic engineering and will fill two European afternoons. It comprises four invited talks, eight contributed talks, and a virtual poster session. Registration is free but mandatory. Invited speakers: Charlotte Frenkel (TU Delft), Priya Panda (Yale), Yiota Poirazi (Institute of Molecular Biology and Biotechnology IMBB), Yonghong Tian (Peking University) Abstract submission deadline: Sept 28th. For more details, registration, and submissions, see https://snufa.net/2022/ We are looking forward to seeing you there! On behalf of the organizing committee, Katie Schuman, Timothée Masquelier, Dan Goodman, and Friedemann Zenke -- zenkelab.org

Sept. 19, 2022

Postdoctoral position in Computational Neuroscience of Social Decision-Making

by Igor Kagan

A postdoctoral position is immediately available in the Social Neuroscience Team, Cognitive Neuroscience Laboratory, German Primate Center, in Goettingen, Germany (www.dpz.eu/cnl) The project is a collaboration between groups of Alex Gail, Igor Kagan and Stefan Treue (German Primate Center) and Fred Wolf (Bernstein Center for Computational Neuroscience and Campus Institute Dynamics of Biological Networks, www.uni-goettingen.de/en/58058.html) The focus of the research is on innovative game theoretical approaches, computational modeling and analysis of behavioral and neurophysiological signals underlying interactive social decision-making in humans and nonhuman primates (e.g. Unakafov et al. 2020, PLoS Comp Biol, https://doi.org/10.1371/journal.pcbi.1007588; and Moeller et al. https://www.biorxiv.org/content/10.1101/2020.03.13.983551v3) The postdoctoral scientist will collaborate closely with the experimentalists, who work on elucidating the neural basis supporting primate interactions in dynamic sensorimotor settings. Further scientific exchange within the Leibniz ScienceCampus Primate Cognition (www.primate-cognition.eu) and the recently established Collaborative Research Center “Cognition of Interaction” (www.sfb1528.uni-goettingen.de) will ensure a broad interdisciplinary framework for networking and cooperation. Candidates with a Ph.D. in Computational or Systems Neuroscience, Physics, Mathematics, Data Science or Engineering, an excellent research record, and a drive to work independently and collaboratively to solve conceptual and computational challenges, are encouraged to apply. A strong quantitative and theoretical skillset is a must, prior experience in cognitive sciences or neuroscience, and a background in relevant modeling, social interactions, or analysis of behavioral or neurophysiological data are a plus. Please send applications (letter of interest, CV and the names and contact information of two referees), or request for additional information, to Igor Kagan (ikagan(a)dpz.eu) -- Dr. Igor Kagan Head of Decision and Awareness Group, German Primate Center (DPZ) Kellnerweg 4, Goettingen 37077, Germany http://www.dpz.eu/dag https://dpz-eu.zoom.us/j/5510619772?pwd=eE5YbXE3aGJzc2ErUWFMaTRmQkYxZz09

Sept. 19, 2022

Research Assistant Position in the Developmental Cognitive Neuroscience lab at American University, Washington DC

by Laurie Bayet

*Research Assistant Position in the Developmental Cognitive Neuroscience lab at American University, Washington DC* The Developmental Cognitive Neuroscience Laboratory at American University in Washington DC, directed by Dr. Laurie Bayet (https://www.bayetlab.com/ <https://urldefense.com/v3/__https://www.bayetlab.com/__;!!IaT_gp1N!17_aaQrx…>), is currently accepting applications for a full-time, benefits-eligible Research Assistant position, to assist on a 3-year NSF-funded project investigating infant visual cognition using electro-encephalography (EEG) and machine learning (NSF award # 2122961 <https://urldefense.com/v3/__https://www.nsf.gov/awardsearch/showAward?AWD_I…>). The position is ideal for an individual seeking to deepen their research experience in preparation for graduate study. *Apply at https://careers.american.edu/job-invite/10603/ <https://careers.american.edu/job-invite/10603/> and include a CV, cover letter, and names and contact information of 2-3 references.* Review of applications will begin immediately and continue until the position is filled. Prospective applicants may email Dr. Bayet (bayet(a)american.edu) with any questions. *Recent lab publications most relevant to the project:* Ashton, K., Zinszer, B. D., Cichy, R. M., Nelson, C. A., Aslin, R. N., & Bayet, L. (2022). Time-resolved multivariate pattern analysis of infant EEG data: A practical tutorial. *Developmental cognitive neuroscience*, *54*, 101094. https://doi.org/10.1016/j.dcn.2022.101094 <https://urldefense.com/v3/__https://doi.org/10.1016/j.dcn.2022.101094__;!!I…> Bayet, L., Zinszer, B. D., Reilly, E., Cataldo, J. K., Pruitt, Z., Cichy, R. M., Nelson, C. A., & Aslin, R. N. (2020). Temporal dynamics of visual representations in the infant brain. *Developmental cognitive neuroscience* , *45*, 100860. https://doi.org/10.1016/j.dcn.2020.100860 <https://urldefense.com/v3/__https://doi.org/10.1016/j.dcn.2020.100860__;!!I…> *Essential Functions:* 1. *Data Management:* Assisting with data collection in adherence with study protocols, such as: informed consent, EEG and eye-tracking measurements, transferring research data files to the lab server. 2. *Participant Recruitment and Support:* Outreach, recruitment, and communication with families who participate in the research, such as: designing and implementing outreach/recruitment materials, assessing study eligibility, scheduling study visits, maintaining contact with participating families. 3. *Data Entry and Processing:* Conduct data entry, data pre-processing, video coding, and data management, in adherence with study protocols. 4. *Personnel: *Onboarding and supervision of undergraduate research assistants. 5. *Study General Support:* Assisting with designing and implementing experimental procedures, such as: creating and validating stimuli, surveys, or paradigms; monitoring materials and supplies. 6. *Compliance:* Develop and monitor IRB protocols for approval, modification, or renewal. 7. *Other duties as assigned by supervisor:* Opportunity to contribute to conference presentations and/or manuscript writing, if desired. *Required Education and Experience:* - High School diploma or equivalent. - KSA Statement. - Interest in developmental psychology, cognitive science, and/or neuroscience. - Excellent organizational and project management skills, including Initiative, self-motivation, rigor, attention to details, ability to work independently on multiple tasks, learn new skills in a fast-paced environment, and meet deadlines. - Excellent communication and interpersonal skills, including comfort interacting professionally with families, infants, and undergraduate students; ability to work effectively with people from diverse backgrounds. - Prior experience in developmental research (e.g., with infants/children) and/or human neuroimaging research (e.g., EEG, MEG, fNIRS) (strongly preferred, but not strictly required if has some other relevant research experience). - Flexibility to adapt to changing hours, such as the ability to run study visits with families during weekends, or occasionally during the evening. *Preferred Education and Experience:* - Bachelor's degree in Psychology or Neuroscience or closely related field. - Computational skills and programming experience in Matlab, R, and/or Python preferred, but not strictly required. - Relevant experience with neuroscience/psychology research tools (e.g., NetStation, Psychtoolbox, Datavyu, Lookit, EEGLAB), data analysis, data processing, manuscript preparation, and/or social media/website development a plus. - The intention to make a 2-to-3-years commitment is preferred. The position currently has funding through August 2025, contingent upon a 6-month probationary period and successful completion of duties. *Additional information:* The Developmental Cognitive Neuroscience Laboratory is part of the Neuroscience Department <https://www.american.edu/cas/neuroscience/> and the Center for Neuroscience and Behavior <https://www.american.edu/cas/center-neuroscience/> at American University. American University provides a stimulating intellectual environment, just 2 miles from downtown Washington DC. DC offers a vibrant research community, and American University enjoys proximity to other notable research institutions such as the National Institutes of Health, Georgetown University, the University of Maryland, or Johns Hopkins University. With extensive public transit, an exciting cultural and restaurant scene, many museums and public parks, and proximity to other green spaces in the surrounding region (e.g., Appalachian trail, Shenandoah National Park), Washington DC consistently ranks amongst the top US metropolitan areas for quality of life. *Get to Know American University:* At American University we value open and honest inquiry, servant leadership, and the affirmation of the human dignity of all. We envision a thriving AU community where individuals of all identities and experiences are understood, appreciated, and fully included, and where equitable treatment, opportunities, and outcomes prevail. Our diverse community of students, faculty, and staff represent every state and more than 150 countries. Our internationally recognized faculty are today's thought leaders in the areas of public policy, law, the arts, communications, international development, and more. Our staff are innovative, service-oriented, and dedicated to moving the university towards achieving its strategic goals. We are committed to an excellent experience for all of our students, faculty and staff and share a passion for creating change through our knowledge and our work. Learn more about American University by clicking here <https://www.american.edu/about/au-at-a-glance.cfm>. *American University is an equal opportunity, affirmative action institution that operates in compliance with applicable laws and regulations. The university does not discriminate on the basis of race, color, national origin, religion, sex (including pregnancy), age, sexual orientation, disability, marital status, personal appearance, gender identity and expression, family responsibilities, political affiliation, source of income, veteran status, an individual’s genetic information or any other bases under federal or local laws (collectively "Protected Bases") in its programs and activities.* -- Laurie Bayet, PhD (hear name) <https://urldefense.com/v3/__https://namedrop.io/lauriebayet__;!!IaT_gp1N!17…> Assistant Professor of Neuroscience, American University (202) 885-1719

Sept. 17, 2022

3yr PhD / PostDoc position @ Ulm University

by Daniel Braun

There is a fully funded Phd or PostDoc level position available at the Institute of Neural Information Processing at Ulm University, Germany. At the institute we use a diverse set of methods to study the information processing principles underlying intelligent behavior in cognitive systems, including both biological and artificial systems. In particular, we are interested in systems that learn in open-ended environments and that use abstraction to solve novel problems through generalization and meta-learning. The applicants should have a strong mathematical background, hold a degree in natural science, mathematics, economics, psychology, computer science, engineering or similar and have a keen interest in artificial and natural intelligence. The positions are paid according to German tariff TVöD E13. Ulm University with its more than 10,000 students is Baden-Württemberg’s youngest university. It offers attractive career prospects in a highly innovative research, teaching and work environment at the same time facilitating the reconciliation of work and family life. The University of Ulm is an equal opportunity employer: Handicapped individuals are strongly encouraged to apply, and so are women in areas in which they are underrepresented. Knowledge of German is advantageous. The position is available from DEC 1, 2022 and will be filled as soon as possible. Candidates should submit a CV and a brief statement of interest through the university's online application system: stellenangebote.uni-ulm.de/jobposting/9c710d04684a751fcf4470b61d881631da41ddba -- Prof. Dr. Dr. Daniel Alexander Braun Institute of Neural Information Processing Faculty of Engineering, Computer Science and Psychology Ulm University James-Franck-Ring D-89081 Ulm Germany phone: +49 (0)731 50 - 24150 <%2B49%20%280%29731%2050%20-%2024158> fax: +49 (0)731 50 - 24156 email: daniel.braun(a)uni-ulm.de

Sept. 17, 2022

Tenure-track opening in Computational Social Science at UCLA

by Anne Warlaumont

Dear Colleagues, The University of California, Los Angeles (UCLA) Department of Communication invites applications for a tenure track appointment at the level of Assistant Professor with an emphasis on developing and/or applying computational social science methods to study communication. Potential areas of research include (but are by no means limited to) agent-based or other computational modeling, network science, machine learning, artificial intelligence, natural language processing, analysis of large audio and/or video datasets, gathering and analysis of digital trace data, and the use of virtual lab or field experiments. Interested candidates should view full posting and submit application materials via *UC Recruit here >>* <https://recruit.apo.ucla.edu/apply/JPF07843> Best regards, Anne

Sept. 15, 2022

General attendance open for Mathematics of Neuroscience Conference, Sept 24-25th 2022

by Ruairidh McLennan Battleday

Dear all, We now have a full schedule at this year's mathematics of neuroscience conference, in just under ten days (24-25th September, 2022), and have opened registration for virtual attendance: www.neuromonster.org We have tried to make the cost as low as possible, in the hope that everyone that wants to can come. It's a great line up, and we hope to see you there! All the best, Dr Ruairidh M. Battleday and Professor Dan V. Nicolau Jr

Sept. 14, 2022

Computational neuroscience - PhD/Postdoc - Cheng Lab, Bochum

by Vinita Samarasinghe

We (Cheng Lab <https://www.ini.rub.de/research/groups/computational_neuroscience/>, Ruhr University Bochum <https://rub.de/>, Germany) are looking to fill two positions in the area of computational neuroscience each for 3 years. _*Positions*_ 1. Postdoc: Join the team on project F01 <https://sfb1280.ruhr-uni-bochum.de/en/research/projects/f01/> of the Collaborative Research Center “Extinction Learning” SFB 1280 <https://sfb1280.ruhr-uni-bochum.de/en/home/> to: * analyze learning dynamics in behavioral, neural, and psychophysiological data, which will be collected by other projects within the SFB 1280. * compare the learning dynamics between individuals, species, learning phases and learning paradigms, * develop algorithms to analyze the learning dynamics, * develop and study computational models of learning dynamics, and * coordinate research with other participating projects. 2. PhD student or Postdoc: Develop and study computational models of episodic memory and spatial navigation by: * extending models based on large networks of biologically plausible spiking neurons with synaptic plasticity, * studying the generation and learning of complex spatial behaviors in the model, * quantitatively comparing the model output to the spatial behavior of mammals, and * studying the role of episodic memory in spatial navigation. The research groupis highly dynamic and uses diverse computationalmodeling approachesincludingbiological neural networks, cognitive modeling, and machine learning to investigatelearning and memory in humans and animals. _*Qualifications*_ * Adoctorate degreein neuroscience, physics, mathematics, electrical/biomedical engineering or a closely related field. In exceptional cases, graduate students with a Masters degree in these fields, but nodoctorate degree, may be considered. * Relevant experience in mathematical modeling together with a solid mathematics background * Relevant research experience in neuroscience or a related field (only position 1) * Be able to think algorithmically and have excellent programming skills (e.g., Python) * Excellent communication skills in English * Work well in a team. The Ruhr University Bochum is home to a vibrant research community in neuroscienceand cognitive science. The Institute for Neural Computation <https://www.ini.rub.de/> in the Faculty of Computer Science <https://informatik.rub.de/en/> combines different areas of expertise ranging from experimental and theoretical neuroscienceto machine learning androbotics. Please send your application, including CV, transcripts (bachelor & master) and research statement electronically, as a *single PDF* file, to samarasinghe(a)ini.rub.de <mailto:samarasinghe@ini.rub.de>. In addition, at least two academic references mustbe sent independently to the above email address. The Ruhr University Bochum is committed to equal opportunity. We strongly encourage applications from qualified women and persons with disabilities. We are committed to providing a supportive work environment for female researchers, in particular those with young children. Our university provides mentoring and coaching opportunities specifically aimed at women in research. We have a strong research network with female role models and will provide opportunities to networkwith them. Wherever possible, events will be scheduled during regular childcare hours. Special childcare will be arranged if events have to be scheduled outside of regular hours, in case of sickness and during school or daycare closures. Where childcare is not an option parents will be offered a home office solution. Contact person: Vinita Samarasinghe, samarasinghe(a)ini.rub.de <mailto:samarasinghe@ini.rub.de> -- Vinita Samarasinghe M.Sc., M.A. Science Manager Arbeitsgruppe Computational Neuroscience Institut für Neuroinformatik Ruhr-Universität Bochum, NB 3/73 Postfachnummer 110 Universitätstr. 150 44801 Bochum Tel: +49 (0) 234 32 27996 Email:samarasinghe@ini.rub.de

Sept. 12, 2022

PhD position in Neurotechnology at the Friedrich-Alexander-University (FAU) Erlangen-Nuremberg, Germany

by Reichenbach, Tobias

The Chair for Sensory Neuroengineering at the new Department Artificial Intelligence in Biomedical Engineering is looking for a PhD student to work on an innovative project in neurotechnology. Together with partners in the Cluster4Future SEMECO (TU Dresden, MED-EL, Fraunhofer) you will develop a Brain-Computer-Interface (BCI) for the next generation of hearing aids. To this end you will develop AI methods for analyzing brain signals and for steering the processing of acoustic signals. The prototype hearing aids with neurofeedback should be then be able to abadjust to the needs of their users and to adapt in real time. AI at the interface to neurobiology is a highly timely topic of immense societal relevance. We offer you the possibility to actively shape this exciting and rapidly developing field. We support your work through: - A lively scientific environment within the Department and the possibility to cooperate with excellent partners at the Friedrich-Alexander-University Erlangen-Nürnberg, at Imperial College London as well as with industry partners - An excellent environment to conduct leading science and to realise own scientific ideas - An excellent training in the development of AI methods for neuronal data - Development of your personal strengths, for instance through extensive courses on personal development - 26 days of holiday per year The renumeration is according to Group 13 of the German public service (TV-L). FAU is the most innovative university in Germany and ranks second among the most innovative European universities. It is located in one of the most attractive regions in Germany. Erlangen is a bicycle-friendly city with 100,000 inhabitants, former home of the Huguenots as well as a key location for industry. It is close to Nuremberg, a city with a population of half a million and a metropolitan flair. The mixture of academia, innovative companies, art and culture makes the region the perfect place for creative minds, keen athletes and nature lovers. To apply, please send a letter detailing your motivation, a CV, copies of your degrees and details of two referees. Please combine all documents into a single pdf and send them per email with subject “Application PhD student” to Prof. Dr. Tobias Reichenbach (tobias.j.reichenbach(at)fau.de<http://fau.de>). More information is available here: https://www.jobs.fau.de/jobs/phd-student-in-neurotechnology-u98170569/ ------------------------------------------- Prof. Dr. Tobias Reichenbach Chair of Sensory Neurotechnology Department Artificial Intelligence in Biomedical Engineering (AIBE) Friedrich-Alexander-University (FAU) Erlangen-Nürnberg Werner-von-Siemens-Strasse 61 91052 Erlangen https://www.neurotech.tf.fau.eu/

Sept. 10, 2022

Python Package: Echo State Networks

by Fabrizio Damicelli

Dear Computational Neuroscience Community, I would like to point you to a potentially useful Python Package that might be of interest for your research, especially in the realms of "Biologically-inspired Neural Networks", "Shallow Learning" and "Recurrent Neural Networks" in general. "echoes": Machine Learning with Echo State Networks, a scikit-learn compatible package. Code Repository: https://github.com/fabridamicelli/echoes A few interesting features: - scikit-learn compatible, i.e. scikit-learn tools such as GridSearchCV should work out-of-the-box - It is light-weight and fast (`numba` accelerated), i.e. many experiments can be simply run on a laptop - Flexible and customizable, e.g. use arbitrary connectivity, add custom activations, visualize neurons activity, etc. - Installation and getting started is easy: `pip install echoes` - Example notebooks: https://github.com/fabridamicelli/echoes/tree/master/examples/notebooks - Documentation: https://fabridamicelli.github.io/echoes/ As of today, a few people already trust it and the package registers >18K total downloads, ~500/month (pypi.org<http://pypi.org/>) and has been used already in a few research projects: - Hadaeghi et. al. (2021) Spatio-temporal feature learning with reservoir computing for T-cell segmentation in live-cell Ca2+ fluorescence microscopy: www.nature.com/articles/s41598-021-87607-y#Sec4<http://www.nature.com/articles/s41598-021-87607-y#Sec4> - Damicelli et.al<http://et.al/>. (2021) Brain Connectivity meets Reservoir Computing: www.biorxiv.org/content/10.1101/2021.01.22.427750v1.abstract<http://www.biorxiv.org/content/10.1101/2021.01.22.427750v1.abstract> - Fakhar et. al. (2022) Causal Influences Decouple From Their Underlying Network Structure In Echo State Networks: arxiv.org/abs/2205.11947<http://arxiv.org/abs/2205.11947> Check it out and any feedback/suggestions/bug reports are more than welcome (simply open an issue: https://github.com/fabridamicelli/echoes/issues) All the best, Fabrizio

Sept. 9, 2022

Postdoc / Junior Scientist / Research fellow positions in Complex Networks, Prague, Czech Republic

by Magda Pokorna

The following positions are open in the department of Complex Systems at the Institute of Computer Science, Czech Academy of Sciences, Prague, Czech Republic. Applications for all positions will be reviewed on a rolling basis*with a first cut-off point on *30. **9**. 2022.** 1. *Postdoctoral / Junior Scientist position in Multimodal Neuroimaging Machine Learning, Prague, Czech Republic* A Postdoc or Junior Scientistposition is available to join the _Complex Networks and Brain Dynamics group <http://cobra.cs.cas.cz/>_for the project: /*“Predicting functional outcome in schizophrenia from multimodal neuroimaging and clinical data“*/funded by the Czech Health Research Council.The project involves the development of tools to predict the functional outcome of schizophrenia from multimodal neuroimaging, clinical and cognitive measurements taken early after disease onset. To overcome limitations due to high dimensionality of data, we combine robust machine-learning tools, data-driven feature selection and theory-based brain network priors. The project is carried out in collaboration with the National Institute of Mental Health, using its unique large rich imaging, cognitive and biochemical data of early stage schizophrenia patients. *For more information, conditions and application* see https://www.cs.cas.cz/job-offer/postdoctoral-junior-scientist-position-Hlin…. 2. *Researc**h Fellow / Postdoc positions in Complex Networks and Brain Dynamics, Prague, Czech Republic* We are looking for new team members to join the _Complex Networks and Brain Dynamics group <http://cobra.cs.cas.cz/>_to work on its interdisciplinary projects. The group is part of the Department of Complex Systems, Institute of Computer Science of the Czech Academy of Sciences - based in Prague, Czech Republic, _https://www.cs.cas.cz/ <https://www.cs.cas.cz/>_.We focus on the development and application of methods of analysis and modelling of real-world complex networked systems, with particular interest in the structure and dynamics of human brain function. Our main research areas are neuroimaging data analysis (fMRI & EEG, iEEG, anatomical and diffusion MRI), brain dynamics modelling, causality and information flow inference, nonlinearity and nonstationarity, graph theory, machine learning and multivariate statistics; with applications in neuroscience, climate research, economics and general communication networks. *More information about the group at *_*http://cobra.cs.cas.cz/* <http://cobra.cs.cas.cz/>_*. **For more information, conditions and application* see https://www.cs.cas.cz/job-offer/research-fellow-postdoc-position-Hlinka1-20…. *Do not hesitate to contact the **group leader**/ Principal Investigator for informal inquiries: Ing. Mgr. Jaroslav Hlinka, Ph.D. *_*hlinka[at]cs.cas.cz* <mailto:hlinka@cs.cas.cz>_*, *_*http://www.cs.cas.cz/hlinka/*_

Sept. 9, 2022

Postdoctoral Position at UConn in Systems and Computational Neuroscience

by Ian Stevenson

The Physiological Acoustics Lab (http://escabilab.uconn.edu) at the University of Connecticut seeks applicants for a postdoctoral position in systems and computational neuroscience. We are seeking highly motivated and creative applicants that can lead a project on perception and neural coding of speech and vocalizations in the presence of competing natural environmental noises (e.g., restaurant noise, busy street, construction noise etc.). The broad project goal is to study the neural basis for listening in noisy environments and to devise a general computational theory that accounts for perception and physiology. The project will use a variety of experimental approaches including human perception, awake animal electrophysiology, large scale neural recording, and computational modeling. UConn has a vibrant neuroscience community and there are opportunities for collaboration between departments and institutes. The primary appointment is in Biomedical Engineering, but the work will be conducted in collaboration with the Behavioral Neuroscience division in the Psychology department (Statistical Neuroscience Lab, http://stevenson.lab.uconn.edu; Sensory Perception and Neuroscience Lab, http://read.lab.uconn.edu) as well as Electrical and Computer Engineering and Biomedical Engineering. Qualifications: A PhD in Neuroscience, Biomedical Engineering, Electrical Engineering, Computational Neuroscience, or a related field is required. The ideal candidate will have an interdisciplinary research background in computational and systems neuroscience with prior research experience in awake animal neurophysiology. A strong analytic background in neural data analysis is desirable, particularly modeling neural systems and analyzing datasets from large-scale multi-channel neural recordings. Experience with acoustic signal processing, sound recognition, and machine learning is also desirable. Appointment: The position is funded through an R01 grant and salaries follow NIH post-doctoral scale and are based on experience. Applicants should email escabi(a)engr.uconn.edu a single PDF file containing: 1) resume including past research experience and published work 2) one page statement of prior research experience 3) one page statement of future research interests and objectives 4) names of at least two individuals who can provide reference letters Ian Stevenson Associate Professor University of Connecticut Department of Psychological Sciences stevenson.lab.uconn.edu

Sept. 8, 2022

Job: ML Engineer to extend ReservoirPy library for health data (Reservoir Computing)

by Xavier Hinaut

We are looking for an engineer for at least one year to work with the open source ReservoirPy library on health data. You will be working in Bordeaux, France in the Mnemosyne computational neuroscience group https://team.inria.fr/mnemosyne <https://team.inria.fr/mnemosyne> in collaboration with other Bordeaux teams involved in biostatistics and machine learning. More info and online application: https://jobs.inria.fr/public/classic/en/offres <https://jobs.inria.fr/public/classic/en/offres> * ReservoirPy ReservoirPy [1, 2, 3] is a simple user-friendly library based on Python scientific modules. It provides a flexible interface to implement efficient Reservoir Computing (RC) [5] architectures with a particular focus on Echo State Networks (ESN) [4]. Advanced features of ReservoirPy allow to improve computation time efficiency on a simple laptop compared to basic Python implementation. Some of its features are: offline and online training, parallel implementation, sparse matrix computation, fast spectral initialization, advanced learning rules (e.g. Intrinsic Plasticity) etc. It also makes possible to easily create complex architectures with multiple reservoirs (e.g. deep reservoirs), readouts, and complex feedback loops. Moreover, graphical tools are included to easily explore hyperparameters with the help of the hyperopt library. It includes several tutorials exploring exotic architectures and examples of scientific papers reproduction. Github: https://github.com/reservoirpy/reservoirpy <https://github.com/reservoirpy/reservoirpy> Documentation: https://reservoirpy.readthedocs.io <https://reservoirpy.readthedocs.io/> Related projects: https://github.com/reservoirpy <https://github.com/reservoirpy> Twitter: https://twitter.com/reservoirpy <https://twitter.com/reservoirpy> * Deadline: 20th of September 2022 For informal questions send an email to xavier dot hinaut at inria dot fr. Online application: https://jobs.inria.fr/public/classic/en/offres <https://jobs.inria.fr/public/classic/en/offres> * Contract Engineer contract of 1 year, with possibility to extend the contract to more years or to continue in the team as PhD student. * Benefits package - Subsidized meals - Partial reimbursement of public transport costs - Possibility of partial teleworking and flexible organization of working hours - Professional equipment available (videoconferencing, loan of computer equipment, etc.) - Social, cultural and sports events and activities - Access to vocational training - Social security coverage [1] Trouvain N, Pedrelli L, Dinh TT, Hinaut X (2020). Reservoirpy: an efficient and user-friendly library to design echo state networks. International Conference on Artificial Neural Networks, 494-505. https://hal.inria.fr/hal-02595026v2/document <https://hal.inria.fr/hal-02595026v2/document> [2] Trouvain, N., Rougier, N. P., & Hinaut, X. (2022). Create Efficient and Complex Reservoir Computing Architectures with ReservoirPy. In FROM ANIMALS TO ANIMATS 16: The 16th International Conference on the Simulation of Adaptive Behavior (SAB2022). https://hal.inria.fr/hal-03761440/document <https://hal.inria.fr/hal-03761440/document> [3] Nathan Trouvain, Xavier Hinaut. reservoirpy: A Simple and Flexible Reservoir Computing Tool in Python. 2022. HAL preprint hal-03699931. https://hal.inria.fr/hal-03699931/document <https://hal.inria.fr/hal-03699931/document> [4] Jaeger, H., & Haas, H. (2004). Harnessing nonlinearity: Predicting chaotic systems and saving energy in wireless communication. science, 304(5667), 78-80. [5] Lukoševičius, M., & Jaeger, H. (2009). Reservoir computing approaches to recurrent neural network training. Computer Science Review, 3(3), 127-149. Xavier Hinaut Inria Research Scientist www.xavierhinaut.com -- +33 5 33 51 48 01 Mnemosyne team, Inria, Bordeaux, France -- https://team.inria.fr/mnemosyne & LaBRI, Bordeaux University -- https://www4.labri.fr/en/formal-methods-and-models & IMN (Neurodegeneratives Diseases Institute) -- http://www.imn-bordeaux.org/en --- Our Reservoir Computing library: https://github.com/reservoirpy/reservoirpy

Sept. 6, 2022

Multiple Vacancies at the University for Melbourne

by Uwe Aickelin

Hi, Hope this message finds you well. Please consider sharing this with any interested researchers. The University of Melbourne’s School of Computing and Information Systems is recruiting for 4x open positions. Application deadlines: Sep 26, 2022 (Australian Eastern Daylight Time) Lecturer/Senior Lecturer in machine learning: https://go.unimelb.edu.au/282e Lecturer/Senior Lecturer in theory of computing: https://go.unimelb.edu.au/f82e Lecturer/Senior Lecturer in information systems: https://go.unimelb.edu.au/482e Senior Lecturer/Associate Professor in fairness: https://go.unimelb.edu.au/h82e (These are continuing positions equiv. US tenure track research & teaching / faculty positions at a range of levels.) We’re excited to invite applications from individuals passionate about research, training, teaching, and engagement, to join us at Australia’s premier university, situated in one of the world’s most liveable cities. Best, Uwe Aickelin -- Professor Uwe Aickelin | Head of School of Computing and Information Systems Faculty of Engineering and Information Technology Level 3, Melbourne Connect – 700 Swanston Street The University of Melbourne, Victoria 3010 Australia T: +61 3 8344 3635 E: uwe.aickelin(a)unimelb.edu.au<mailto:uwe.aickelin@unimelb.edu.au> http://aickelin.com/ | http://linkedin.com/in/aickelin

Sept. 6, 2022

Neo community review extended to Sep 29 - call for comments and feedback

by Malin Sandström

Dear all, INCF is asking for your help to review the Neo object model <https://www.incf.org/sbp/neo>for electrophysiology data, to assess its value as a community standard. Participating is simple; read the INCF SBP committee review report <https://f1000research.com/documents/11-658> on F1000 and leave your feedback in the comments! You can comment to express your support, to point out possibilities for improvement - or both. We are especially interested in hearing from Neo users and from tool developers who have implemented support for Neo or use Neo as part of their workflow. Please give us your feedback in a comment as soon as possible, but latest September 29: f1000research.com/documents/11-658 More information: Neo <https://www.incf.org/sbp/neo> is an object model for handling electrophysiology data in multiple formats. It is suitable for representing data acquired from electroencephalographic, intracellular, or extracellular recordings, or generated from simulations. Neo has been implemented as a Python package for working with electrophysiology data, together with support for reading a wide range of neurophysiology file formats (including Spike2, NeuroExplorer, AlphaOmega, Axon, Blackrock, Plexon, Tdt, Igor Pro), and support for writing to a subset of these formats plus non-proprietary formats including Kwik and HDF5. Read more about Neo: Project page <https://neuralensemble.org/neo/> Documentation <https://neo.readthedocs.io/en/stable/> Github <https://github.com/NeuralEnsemble/python-neo> Paper <https://www.frontiersin.org/articles/10.3389/fninf.2014.00010/full> -- Malin Sandström, PhD Community Engagement Officer malin.sandstrom(a)incf.org ORCID: 0000-0002-8464-2494 International Neuroinformatics Coordinating Facility Karolinska Institutet Nobels väg 15 A SE-171 77 Stockholm Sweden http://www.incf.org

Sept. 6, 2022

3rd SMILES workshop in less than one week! (12 sept.)

by Xavier Hinaut

The 3rd SMILES (Sensorimotor Interaction, Language and Embodiment of Symbols) Workshop will take place both on site and virtually at ICDL 2022 conference. **9am-6pm UTC+1 (London time) on September 12, 2022** * Invited talks: - Joanna Raczaszek-Leonardi (University of Warsaw, Poland) - Joel Z Leibo (DeepMind, London, UK) - Lorijn Zaadnoordijk (Trinity College Dublin, Ireland) - Martin Butz & Christian Gumbsch (University of Tübingen, Germany) - Ida Momennejad (Microsoft Research NYC, USA) * Important info: - Registration: https://forms.gle/No8xFFkmfKXXdNMm7 (if you come onsite, you also need to register here: https://icdl2022.qmul.ac.uk/?page_id=50 ) - Workshop website: https://sites.google.com/view/smiles-workshop/ - Onsite venue: Graduate Center, Queen Mary University of London, UK. More info here: https://icdl2022.qmul.ac.uk/?page_id=103 - Venue online: via Zoom and Discord group. - Join our Discord: https://discord.gg/sBZbdSWRvJ (expires after 100 hits) - Follow us on Twitter: https://twitter.com/SMILESconf * Workshop Short Description On the one hand, models of sensorimotor interaction are embodied in the environment and in the interaction with other agents. On the other hand, recent Deep Learning development of Natural Language Processing (NLP) models allow to capture increasing language complexity (e.g. compositional representations, word embedding, long term dependencies). However, those NLP models are disembodied in the sense that they are learned from static datasets of text or speech. How can we bridge the gap from low-level sensorimotor interaction to high-level compositional symbolic communication? The SMILES workshop will address this issue through an interdisciplinary approach involving researchers from (but not limited to): - Sensori-motor learning, - Symbol grounding and symbol emergence, - Emergent communication in multi-agent systems, - Chunking of perceptuo-motor gestures (gestures in a general sense: motor, vocal, ...), - Compositional representations for communication and action sequence, - Hierarchical representations of temporal information, - Language processing and language acquisition in brains and machines, - Models of animal communication, - Understanding composition and temporal processing in neural network models, and - Enaction, active perception, perception-action loop. * More info - contact: smiles.conf(a)gmail.com - organizers: Xavier Hinaut, Clément Moulin-Frier, Silvia Pagliarini, Joni Zhong, Michael Spranger, Tadahiro Taniguchi, Anne Warlaumont. - ICDL conference website: https://icdl2022.qmul.ac.uk/ Xavier Hinaut on behalf of the SMILES workshop organisers: - Clément Moulin-Frier, Inria and Ensta ParisTech, Bordeaux, France - Anne Warlaumont, UCLA, Los Angeles, USA - Silvia Pagliarini, UCLA, Los Angeles, USA - Michael Spranger, Sony AI and Sony CSL, Tokyo, Japan - Tadahiro Taniguchi, Ritsumeikan University, Kyoto, Japan - Junpei Zhong, Hong Kong Polytechnic University, Hong Kong, China Xavier Hinaut Inria Research Scientist www.xavierhinaut.com <http://www.xavierhinaut.com/> -- +33 5 33 51 48 01 Mnemosyne team, Inria, Bordeaux, France -- https://team.inria.fr/mnemosyne <https://team.inria.fr/mnemosyne> & LaBRI, Bordeaux University -- https://www4.labri.fr/en/formal-methods-and-models <https://www4.labri.fr/en/formal-methods-and-models> & IMN (Neurodegeneratives Diseases Institute) -- http://www.imn-bordeaux.org/en <http://www.imn-bordeaux.org/en> --- Our new release of Reservoir Computing library: https://github.com/reservoirpy/reservoirpy <https://github.com/reservoirpy/reservoirpy>

Sept. 5, 2022

2 year independent Postdoc position in human centered AI (German required)

by Laurenz Wiskott

The Institute for Neural Computation of the Faculty of Computer Science is looking for a Postdoc (m,f,x) for 2 years, full-time, TVL E13 The Institute for Neural Computation is part of the Faculty of Computer Science at the Ruhr-University Bochum, see https://www.ini.rub.de/. It focuses on the dynamics and learning of perception and behavior on a functional level but is otherwise very diverse, ranging from neurophysiology and psychophysics over computational neuroscience to machine learning and technical applications. There is an open position for a postdoc in the group of Prof. Dr. Laurenz Wiskott to be filled October 1st. The project is part of the competence center HUMAINE for human-centered artificial intelligence, see https://humaine.info/, and will be developed in close collaboration with colleagues at RUB and application partners in industry, among others. We offer: * An interesting interdisciplinary environment in the field of Artificial Intelligence / Machine Learning. * Opportunity to develop an independent research profile and your own research group. * Opportunity to pursue further scientific qualification. * Diverse and interesting contacts at the university, in transfer, and in industry. * A lot of room for own ideas and initiatives. Your opportunities: * Acquiring and maintaining industry contacts. * Scientific advice for companies to help them introduce AI in work processes. * Advising corresponding PhD and student projects. * Coordination of events and teaching of advanced training courses about human-centered AI for developers and decision makers in industry Your profile: * Very good PhD in mathematics, computer science, engineering, or a related field * Solid knowledge in Artificial Intelligence / Machine Learning. * Good programming and mathematical skills * Good command of German. * Good organizational and communicative abilities. * Advantageous: + Experience in industry cooperations and interdisciplinary projects. + Programming skills in Python. Our offerings: * Challenging and varied tasks with a high degree of personal responsibility * Support from and cooperation with competent colleagues * A dynamic environment * Fair and flexible working hours * Support in reconciling family and work/academics (including childcare placement, holiday offers, mobile children's room) Additional information: The load of teaching will be calculated according to § 3 of Lehrverpflichtungsverordnung (state of North Rhine-Westphalia). Contact details for your application: Prof. Dr. Laurenz Wiskott, Phone: +49 234 32 27997 Travel expenses for interviews cannot be refunded. For information on the collection of personal data in the application process see: https://www.ruhr-uni-bochum.de/en/information-collection-personal-data-appl…. We are looking forward to receiving your application with the specification ANR: 800 until 30.09.2022, send by e-mail to the following address: laurenz.wiskott(a)rub.de extent: full-time duration: temporary beginning: as soon as possible application deadline: 30.09.2022 The Ruhr-Universität Bochum is one of Germany’s leading research universities, addressing the whole range of academic disciplines. A highly dynamic setting enables researchers and students to work across the traditional boundaries of academic subjects and faculties. To create knowledge networks within and beyond the university is RUB’s declared aim. The Ruhr-Universität Bochum stands for diversity and equal opportunities. For this reason, we favour a working environment composed of heterogeneous teams, and seek to promote the careers of individuals who are underrepresented in our respective professional areas. The Ruhr-Universität Bochum expressly requests job applications from women. In areas in which they are underrepresented they will be given preference in the case of equivalent qualifications with male candidates. Applications from individuals with disabilities are most welcome.

Sept. 5, 2022

WWNeuRise online seminars Sept-Oct 2022

by William Podlaski

WorldWideNeuRise will host several online talks throughout Sept-Oct 2022 on various topics in systems neuroscience from the following early career researchers. The first session will be on Wednesday, 7 September, 5pm CET, featuring: Pantelis Vafeidis (Rangel Lab, Caltech) - "Learning static and dynamic mappings with local self-supervised plasticity" Anna Kutschireiter (Spiden AG) - "The secret Bayesian life of ring attractors" Followed by two more sessions (talk titles TBA): Wednesday, 21 September, 5pm CET Kevin Berlemont (Wang Lab, NYU) Gabriel Stine (Shadlen Lab, Columbia University) Wednesday, 12 October, 5pm CET William de Cothi (Barry Lab, UCL) Brianna Vandrey (Nolan Lab, University of Edinburgh) For more information, please visit our website (https://neurise.github.io/) find us on WorldWideNeuro (https://www.world-wide.org/Neuro/WWNeuRise/) or follow us on Twitter (https://twitter.com/WWNeuRise) We are always searching for PhD students and postdocs to give talks in our upcoming seminars on any topic in systems neuroscience. On our website ( https://neurise.github.io/) you can find an application form to directly apply, as well as a recommendation form, where you can suggest individuals from your lab, institute, or otherwise who you think might have an interesting story to tell! We are looking forward to seeing you at our upcoming seminars! The organising committee, Alon Baram (Behrens Lab, University of Oxford) Wesley Clawson (Levin Lab, Tufts University) Lucie Descamps (Kentros Lab, Norwegian University of Science and Technology) Gily Ginosar (Ulanovsky Lab, Weizmann Institute) Loreen Hertäg (Clopath Lab, Imperial College London) Joram Keijser (Sprekeler Lab, TU Berlin) Bill Podlaski (Machens Lab, Champalimaud Research)

Sept. 3, 2022

Academia and the World Beyond: Navigating Life after a PhD

by Christopher Madan

Hi everyone, Many PhD students and postdocs are unsure of what their options are, apart from academia. Even within academia, the responsibilities beyond research often haven't been sufficiently discussed. A book I have been working on for a few years has just come out, where I've interviewed 22 individuals about their post-PhD careers, both in academic and non-academic positions. All of them discuss their career journey, day-to-day life in their current position, and advice for current PhD students. You can find out more about the book on my website or directly from the publisher. https://engra.me/books/academiabeyond https://link.springer.com/book/10.1007/978-3-030-82606-2 Best, ~ Chris --- Christopher R Madan, PhD [he/him] | http://www.cmadan.com<http://www.cmadan.com/>, http://engra.me<http://engra.me/> Assistant Professor @ University of Nottingham Author of "An Introduction to MATLAB for Behavioral Researchers" | http://engra.me/books/matlab/ and "Academia and the World Beyond: Navigating Life after a PhD" | http://engra.me/books/academiabeyond This message and any attachment are intended solely for the addressee and may contain confidential information. If you have received this message in error, please contact the sender and delete the email and attachment. Any views or opinions expressed by the author of this email do not necessarily reflect the views of the University of Nottingham. Email communications with the University of Nottingham may be monitored where permitted by law.

Sept. 1, 2022

Postdoc positions in nanoscale modeling of astrocytes, neurons or synapses

by Erik De Schutter

The Computational Neuroscience unit at the Okinawa Institute of Science and Technology (https://www.oist.jp) Japan has been spearheading nanoscale stochastic modeling of astrocytes, neurons and synapses (https://groups.oist.jp/cnu) We have two postdoctoral positions open and Japan is issuing visa for such positions. The selected candidates will build on previous work in modeling of cerebellar or hippocampal astrocytes, neurons and synapses using our STEPS software (http://steps.sourceforge.net) research project depending on experience and interests of the candidate. Previous experience in neural modeling required, preferentially as subject of PhD. Competences: A recent PhD in a relevant discipline such as neuroscience, molecular biology, biophysics or biochemistry. Experience in programming in Python. Fluent English conversation and writing skills. Benefits / Offer: A competitive salary and relocation package are offered. This an ideal position to gain experience in a prominent computational neuroscience lab and take part in our international collaborations. Please contact Prof. Erik De Schutter (erik(a)oist.jp) for inquiries.

Sept. 1, 2022

Neuromatch Conference, abstract submission deadline Sept 5

by Goodman, Daniel F M

Hi everyone, Neuromatch conference is happening at the end of September. Abstract submission deadline is on Monday, Sept 5th so get your abstract in asap! More details below. All the best, Dan After four successful conferences, Neuromatch is pleased to be holding our fifth. The scope of NMC 2022 includes computational neuroscience and machine learning work that has a biological link. We are excited to have a slate of excellent speakers and panelists lined up including: Keynotes from Larry Abbott, Rosa Chan, Ida Momennejad, and Mac Shine Panel on spiking computation: Priya Panda, Katie Schuman, and Peter Suma Panel on the future of scientific publishing: Tim Behrens, Simine Vazire, and Abeni Wickham Bridging-the-gap with computational psychiatry: Xiaosi Gu and Quentin Huys Each of our conferences has led the way in providing new innovations to the virtual conference space, and this year we are excited to offer you: * This year, all talks will be provided with a DOI for permanent identification of your contribution presented at NMC 2022. * The main talks will be hosted on Crowdcast. Instead of posters, we offer flash talks (brief pre-recorded videos) and dedicated meet-up times for discussion within Reddit. * A new edition of NMC for kids: a special session of talks for a younger audience and the young at heart interested in neuroscience, plus a new “Escape Room” experience. * Last year, we pioneered a new mechanism to connect talks in the conference to corresponding preprints on bioRxiv and medRxiv, and we will provide links to preprints on other platforms such as OSF preprints as well. Registration costs are set at 15 USD to cover technical costs, and if this is a difficulty, the fee can be waived without questions. Important dates: * September 5, 2022: Abstract submission deadline * September 7, 2022: Abstract acceptance and live talk selection news * September 22, 2022: Video submission deadline for flash talks * September 27 - 28, 2022: NMC 2022 Each of the two conference days will have two sessions, each of which is 4 hours long. Here are the hours for each of the sessions, as they would occur across five time zones from around the world: [X] Read more at http://conference.neuromatch.io<http://url7811.neuromatch.io/ls/click?upn=t-2Fc1cBCfoxXosHAxrgKl1QLSIJIza-2…> We look forward to seeing you at NMC 2022! All the best, Neuromatch Conference Organizing Committee

Aug. 31, 2022

Professor for Data Science at Univ Göttingen, Germany

by Ecker, Alexander

tl/dr: - Call for applications: Full professor (W2) for Data Science - Where: University of Göttingen, Germany (Faculty of Mathematics and Computer Science) - Deadline: Oct. 10 - Details: https://www.uni-goettingen.de/en/632302.html - Questions? Contact Alexander Ecker, ecker(a)cs.uni-goettingen.de == DETAILS == The Faculty of Mathematics and Computer Science at the Georg-August-University of Göttingen invites applications for Full Professor (W2) for Data Science (f/m/d) The professorship will be part of the Campus Institute Data Science (CIDAS) and will contribute to its development. CIDAS is a central institution of the University of Göttingen that fosters collaboration with partners of the Göttingen Campus, including the University Medical Center, the Cluster of Excellence “Multiscale Bioimaging,” several Max Planck Institutes, the Leibniz Institute for Primate Research, the Academy of Sciences and the German Aerospace Center Göttingen. The future position holder should have expertise in Data Science that complements the existing expertise at the institute. One of the following research areas is preferred: - Reinforcement learning - Virtual reality, augmented reality and digital avatars - Natural language processing - Human computer interaction - Causal models and inference - Time series modeling - Multimodal data integration and model building - Sensor-based information processing on programmable digital electronics - Image analysis and computer vision - Computational and simulation science - Visualization The candidate should have a track record of internationally competitive high-quality research, a high potential for groundbreaking research in internationally visible projects along with profound experience in supervising students. Strong interest in interdisciplinary collaboration with partners at the Göttingen Campus from disciplines such as biology, medicine, neural and behavioral sciences, digital humanities, social sciences, physics, economics, geosciences, forestry and agricultural sciences is expected. The candidate is expected to engage in undergraduate teaching in the faculty's computer science and data science programs. The University of Göttingen emphasizes research-oriented teaching. The conditions for recruitment are specified in Section 25 of the Higher Education Law of Lower Saxony in the currently applicable version. If all prerequisites are met, the candidate will be employed as a tenured civil servant. International scientists are highly encouraged to apply. The University of Göttingen aims to increase the proportion of women in areas where women are underrepresented and therefore strongly encourages qualified women to apply. As a family-friendly employer, the university promotes the compatibility of science/work and family. The university aims to employ more people with disabilities. People with disabilities who have appropriate qualifications and aptitude for the position will be given special consideration. Online applications with curriculum vitae, list of publications, description of third-party funding, teaching and research activities are requested by October 10, 2022 via the application portal https://lotus2.gwdg.de/uni/umin/w2_data_science_2022.nsf/application For further information, please contact Prof. Dr. Alexander Ecker, Institute of Computer Science and Campus Institute Data Science, via ecker(a)cs.uni-goettingen.de. We would like to point out that the submission of the application constitutes consent under data protection law for us to process your applicant data. For more details on the legal basis and data use, please visit Information General Data Protection Regulation (GDPR)

Aug. 30, 2022

Two fully funded PhD positions, Groningen/NL

by Michael Biehl

Please excuse multiple postings Application *deadline: September 29, 2022* *2 PhD positions* funded by the Groningen Cognitive Systems and Materials Center *(1) Push-Pull Inhibition in Deep Learning* *(2)* *Statistical Physics of Learning* *in Layered Networks* *Two fully funded PhD positions (4 years)* are available at the University of Groningen within the project "Robust Learning of Sparse Representations in Neural Networks". The official job announcement including more details and contact information is now available at https://www.rug.nl/about-ug/work-with-us/job-opportunities/?details=00347-0… All applications should be submitted through this website before September 30, 2022. One PhD *(PP1)* will address the study of *"push-pull inhibition" in deep* *learning*, supervised by Dr. George Azzopardi (www.cs.rug.nl/~george) Candidates should have a strong background in brain inspired computing and deep learning. The second position *(PP2)* will be devoted to the *statistical physics* *based analysis* of model situations. Candidates for PP2 should have a strong background in (theoretical) physics, ideally with experience in the statistical physics based theory of neural networks and learning. Both positions will be *fully funded (4 years) *by the Groningen Cognitive Systems and Materials Center https://www.rug.nl/research/fse/cognitive-systems-and-materials/?lang=en -- --------------------------------------------------- Prof. Dr. Michael Biehl Bernoulli Institute for Mathematics, Computer Science and Artificial Intelligence P.O. Box 407, 9700 AK Groningen The Netherlands https://www.cs.rug.nl/~biehl m.biehl(a)rug.nl

Aug. 30, 2022

Call for papers: Biological Cybernetics Special Issue: What can Computer Vision learn from Visual Neuroscience?

by Jeffrey Krichmar

Dear Colleagues, Please consider submitting your work to this special issue of Biological Cybernetics. Call for papers: Biological Cybernetics Special Issue: What can Computer Vision learn from Visual Neuroscience? Submission deadline: September 30, 2022 https://www.springer.com/journal/422/updates/20421374 This special issue invites original research and review articles related to topics in biological vision that can potentially benefit computer vision systems. The following is a non exhaustive list of topics in biological vision that can also benefit computer vision systems. • Active vision’s role in visual search, scene understanding, social interactions, etc. • Learning in the visual system. Learning in biology is continual, few-shot, and adversarially robust. • The roles of recurrent and top-down connections in the visual cortex. • Spike based spatiotemporal processing and its implications for neuromorphic vision. • Motion perception in dynamic environments. • Neural coding schemes in the visual system (e.g., sparse coding, predictive coding, and temporal coding.) • The roles of attention mechanisms in biological vision. How to submit: Please submit your manuscript using the journal online submission system following the Biological Cybernetics submission guidelines. Guest Editors: Kexin Chen - Department of Cognitive Sciences, University of California, Irvine Hirak J. Kashyap - Department of Computer Science, University of California, Irvine Jeffrey L. Krichmar - Department of Cognitive Sciences, Department of Computer Science, University of California, Irvine Xiumin Li - College of Automation, Chongqing University, Chongqing, China If you have any questions, please reach out to one of the guest editors. Best regards, Jeff Krichmar Department of Cognitive Sciences 2328 Social & Behavioral Sciences Gateway University of California, Irvine Irvine, CA 92697-5100 jkrichma(a)uci.edu http://www.socsci.uci.edu/~jkrichma

Aug. 26, 2022

Open PhD position at the Goethe University Frankfurt / Germany

by Claudius Gros

I would like to bring your attention our PhD-program in Computational Neurosciences / Complex Dynamical Systems at the Institute of Theoretical Physics, Goethe University Frankfurt, Germany Field(s): computational neurosciences, complex systems, theory neural networks, simulated robotics, game theory, dynamical systems. Application deadline: October 30, 2022 Contact: Prof. Claudius Gros, cgr[(a)]itp.uni-frankfurt.de We are developing new models and generative principles for complex systems, using a range of toolsets from dynamical systems theory, game theory, and the neurosciences. Examples are self-generated gaits for animals and robotic systems, criticality in autonomous networks, as well as investigations of the 'tragedy of the commons'. Several subjects are available for the announced PhD thesis, depending on the background of the successful candidate. The work will include analytical investigations and numerical simulations. The candidate must have a Diploma/Master in physics, an excellent academic track record and good computational skills. Experience or strong interest in the fields of complex systems, computational neurosciences and dynamical systems theory is expected. The degree of scientific research experience needs to be on the level of a German Diploma/Master The appointment will start late 2022 / early 2023, for up to three years. Interested applicants must submit a curriculum vitae, a list of publications and copies of the academic record. Name, affiliation and email of one or more potential references are to be given. Claudius Gros http://www.itp.uni-frankfurt.de/~gros ------------------------------------- The Johann Wolfgang Goethe University Frankfurt am Main is with over 46,000 students and around 4,600 employees one of the largest universities in Germany. Founded in 1914 by Frankfurt citizens and again in the legal form of a foundation since 2008, the Goethe University has a high level of independence, modernity and professional diversity. As a comprehensive university, the Goethe University Frankfurt offers and has 100 degree programs on five campuses in a total of 16 departments an outstanding research strength. The time limit for academic staff is based on the provisions of the Academic Term Contract Act in conjunction with the Hessian Higher Education Act. The university advocates equal rights for women and men and therefore encourages women to apply. Disabled applicants with equal qualification will be given preferential consideration. ### ### Prof. Dr. Claudius Gros ### http://itp.uni-frankfurt.de/~gros ### ### Complex and Adaptive Dynamical Systems, A Primer ### A graduate-level textbook, Springer (2008/10/13/15) ### ### Life for barren exoplanets: The Genesis project ### https://link.springer.com/article/10.1007/s10509-016-2911-0 ###

Aug. 24, 2022

Call for Visiting Scholars in Theoretical Sciences at OIST (Application by September 30)

by Kenji Doya

We are pleased to call for Visiting Scholars in Theoretical Sciences at Okinawa Institute of Science and Technology, including a new Thematic Program with a symposium. Please check the links below and apply by September 30, 2022. We strongly encourages applications from women and other underrepresented groups. 1) First Call for Thematic Program Pre-Proposals https://groups.oist.jp/tsvp/proposal-thematic-programs We are excited to launch Thematic Activity as new part of the TSVP, with an open call for pre-proposals. Thematic Programs (TPs) are expected to be held at OIST for 2 weeks to 3 months, starting in the second half of 2023. TPs will be hosted by a group of two or more researchers (coordinators) who will be invited to stay at OIST for the duration of the TP. Successful proposals will be provided with the financial and administrative support needed to bring participants to OIST, 4-8 of whom are expected to be present at any one time. Where it fits the goals and timeframe of the program, a symposium linked to the program can be hosted at OIST. While the scope of the Thematic Program should be theoretical, a diverse base of participants is encouraged, which may include experimental scientists. 2) Open Call for Visiting Scholars FY2023 https://groups.oist.jp/tsvp/application-visiting-scholars Visiting Scholars have been arriving through the TSVP since March 2022, and now we are starting the call for FY2023 (April 2023-March 2024). Visiting Scholars will have the opportunity to carry out independent research at OIST, and to interact with one or more OIST Research Units during their stay. Visits will usually be of 3 to 12 months, with support provided for travel, accommodation and living expenses at the level of per diem. In exceptional situations, where the applicant does not receive any salary from grants or their institution at the time of their visit to OIST, successful candidates may be able to apply for support with salary. Visits of 1 to 3 months may also be approved where special circumstances prevent a longer visit. ---- Kenji Doya <doya(a)oist.jp<mailto:doya@oist.jp>> Neural Computation Unit, Okinawa Institute of Science and Technology Graduate University 1919-1 Tancha, Onna, Okinawa 904-0495, Japan Phone: +81-98-966-8594; Fax: +81-98-966-2891 https://groups.oist.jp/ncu

Aug. 24, 2022

Several Ph.D. positions at SFU, Vancouver (clinical EEG recordings and medical texts)

by Vasily Vakorin

Several Ph.D. positions at SFU, Vancouver (clinical EEG recordings and medical texts). Several fully-funded Ph.D. positions are available at Simon Fraser University (Vancouver, Canada), at the Department of Biomedical Physiology and Kinesiology and the School of Engineering Science. Ph.D. candidates will focus on research in neurophysiology, such as electroencephalography (EEG) and magnetoencephalography (MEG), and machine learning to study clinical populations. One of the large-scale projects is based on an extensive dataset of routine clinical EEG recorded and evaluated in the process of a diagnostic workup at four local public hospitals. The data include EEG scans and corresponding EEG reports (written impressions of the visual analysis of the EEG, which was done by neurologists). One Ph.D. project will use EEG recordings to predict clinically-relevant labels. The other project will apply Natural Language Processing (NLP) tools to develop models for extracting labels from EEG reports. For more information, please contact Dr. Sam Doesburg or Dr. Vasily Vakorin: https://www.bcni-sfu.net . If you are interested, please send your cover letter and CV to vvakorin(a)sfu.ca . Please name the attached files according to the format: Lastname_Firstname_cv.pdf and Lastname_Firstname_coverletter.pdf . Thank you, Vasily Vakorin, Ph.D. Scientist & NeuroInformatics Lead - Behavioral & Cognitive Neuroscience Institute Adjunct Professor - Biomedical Physiology & Kinesiology Simon Fraser University, British Columbia, Canada Affiliated Researcher - Fraser Health Authority, British Columbia Email: vvakorin(a)sfu.ca

Aug. 22, 2022

PhD position feelSpace/Cognitive Science University Osnabrück

by Peter König

PhD opportunity feelSpace GmbH/University Osnabrück in the EU Marie-Curie project OptiVis. Work in a great team and make blind people grasp. https://euraxess.ec.europa.eu/jobs/826171 The webpage states "filled", but it is not. https://optivist.eu/project-10 For more information contact Peter König pkoenig(a)uos.de -- Prof. Dr. Peter König, Institute of Cognitive Science, University Osnabrück

Aug. 19, 2022

A postdoc position in image processing, machine learning, and neuroscience

by Hideaki Shimazaki

(Posted on behalf of Prof. Shin Ishii, Kyoto University, Japan) *Call for a postdoctoral researcher* A postdoc position is available in image processing, machine learning, and neuroscience. The objective of the new multi-year project is to understand the neural basis of behavior changes in humans/animals. We shall tackle the AI-based image processing technology for capturing body movements and characterizing possible changes in behaviors. We may also develop methods of analyzing neuronal co-activation from large-scale Ca imaging data or capturing brain waves from multichannel ECoG data. We are looking for a young researcher interested in working on one or some of these topics. The contract is yearly-basis and renewable *until March 31, 2027*. Workplace: Kyoto University, Kyoto, Japan A successful applicant should have a Ph.D. in computational neuroscience, machine learning, physics, applied mathematics, or engineering, but not limited to these. The applicant should demonstrate research experiences with a strong publication record. Programming skills in Python or willingness to learn it, will be valued. To apply, please send a CV with a publication list, a statement of research interests (maximum two pages), and contact information of one or two reference(s) to ishii-sec(a)sys.i.kyoto-u.ac.jp. Either English or Japanese is accepted. The starting date is flexible, while earlier arrival is appreciated. The salary and title follow the university rule and depend on the record/expertise of an appointed researcher. Please feel free to send me any informal questions regarding this post. Sincerely, Shin Ishii, Ph.D. Professor with Kyoto University, Kyoto, Japan Director with Advanced Telecommunication Research Institute International (ATR), Kyoto, Japan Email: ishii-sec(a)sys.i.kyoto-u.ac.jp Webpage: https://ishiilab.jp

Aug. 18, 2022

FSL course 2022 in Oxford, registration open!

by Rezvan Farahibozorg

Dear all, We are pleased to announce that FSL course 2022 will be held in-person, Sept 19th - 23rd, in Oxford, UK. You can find details and registration info here: https://open.win.ox.ac.uk/pages/fslcourse/website/upcoming.html This intensive course covers the *theory and practice of functional, structural, diffusion and resting state brain imaging analysis*. New and existing users of FSL are welcome on the course, as it aims to cover both basic and more advanced topics. Background concepts and practicalities of the analyses are taught in detailed lectures. These lectures are interleaved with hands-on practical sessions, where attendees learn how to carry out analysis for themselves on real data. The contents covered in the course are primarily aimed at applications in basic neuroscience and clinical research. Please note that the course will be in-person only, with no online or remote attendance option. For COVID safety, including masking, policy please refer to the link above. Looking forward to seeing you then, The FSL Course team ------------------------------------------------------------------------- Rezvan Farahibozorg Senior postdoctoral researcher, FMRIB Analysis Group, WIN, NDCN University of Oxford https://www.ndcn.ox.ac.uk/team/rezvan-farahibozorg -------------------------------------------------------------------------

Aug. 17, 2022

Workshop on Attention - Call for Papers

by Grace Lindsay

On behalf of the co-organizers, we would like to invite you to submit your work to our NeurIPS workshop on “All things Attention: Bridging Different Perspectives on Attention”. The details of the workshop and submission instructions are as follows: The Thirty Sixth Conference on Neural Information Processing Systems (NeurIPS) Dec 2, 2022 NeurIPS 2022 is a hybrid Conference https://attention-learning-workshop.github.io/ The All Things Attention workshop aims to foster connections across disparate academic communities that conceptualize "Attention" such as Neuroscience, Psychology, Machine Learning, and Human-Computer Interaction. Workshop topics of interest include (but are not limited to): 1. Relationships between biological and artificial attention 1. What are the connections between different forms of attention in the human brain and present deep neural network architectures? 2. Can the anatomy of human attention models provide useful insights to researchers designing architectures for artificial systems? 3. Given the same task and learning objective, do machines learn attention mechanisms that are different from humans? 1. Attention for reinforcement learning and decision making 1. How have reinforcement learning agents leveraged attention in decision making? 2. Do decision-making agents today have implicit or explicit formalisms of attention? 3. How can AI agents build notions of attention without explicitly baked in notions of attention? 4. Can attention significantly enable AI agents to scale e.g. through gains in sample efficiency, and generalization? 2. Benefits and formulation of attention mechanisms for continual / lifelong learning 1. How can continual learning agents optimize for retention of knowledge for tasks that it already learned? 2. How can the amount of interference between different inputs be controlled via attention? 3. How does the executive control of attention evolve with learning in humans? 4. How can we study the development of attentional systems in infancy and childhood to better understand how attention can be learned? 3. Attention as a tool for interpretation and explanation 1. How have researchers leveraged attention as a visualization tool? 2. What are the common approaches when using attention as a tool for interpretability in AI? 3. What are the major bottlenecks and common pitfalls in leveraging attention as a key tool for explaining the decisions of AI agents? 4. How can we do better? 4. The role of attention in human-computer interaction and human-robot interaction 1. How do we detect aspects of human attention during interactions, from sensing to processing to representations? 2. What systems benefit from human attention modeling, and how do they use these models? 3. How can systems influence a user’s attention, and what systems benefit from this capability? 4. How can a system communicate or simulate its own attention (humanlike or algorithmic) in an interaction, and to what benefit? 5. How do attention models affect different applications, like collaboration or assistance, in different domains, like autonomous vehicles and driver assistance systems, learning from demonstration, joint attention in collaborative tasks, social interaction, etc.? 6. How should researchers thinking about attention in different biological and computational fields organize the collection of human gaze data sets, modeling gaze behaviors, and utilizing gaze information in various applications for knowledge transfer and cross-pollination of ideas? 5. Attention mechanisms in Deep Neural Network (DNN) architectures 1. How does attention in DNN such as transformers relate to existing formalisms of attention in cogsci/psychology? 2. Do we have a concrete understanding of how and if self-attention in transformers contributes to its vast success in recent models such as GPT2, GPT3, DALLE.? 3. Can our understanding of attention from other fields inform the progress we have achieved in recent breakthroughs? SUBMISSION INSTRUCTIONS We invite you to submit papers (up to 9 pages for long papers and up to 5 pages for short papers, excluding references and appendix) in the NeurIPS 2022 format. <https://neurips.cc/Conferences/2022/PaperInformation/StyleFiles> All submissions will be managed through OpenReview (submission website <https://openreview.net/group?id=NeurIPS.cc/2022/Workshop/Attention>). The final submission including main paper, references and appendix should not exceed 12 pages. Supplementary Materials uploads are to only be used optionally for extra videos/code/data/figures and should be uploaded separately in the submission website. The review process is double-blind so the submission should be anonymized. Accepted work will be presented as posters during the workshop, and select contributions will be invited to give spotlight talks during the workshop. Each accepted work entering the poster sessions will have an accompanying pre-recorded 5-minute video. Please note that at least one coauthor of each accepted paper will be expected to have a NeurIPS conference registration and participate in one of the poster sessions. Submissions will be evaluated based on novelty, rigor, and relevance to the theme of the workshop. Both empirical and theoretical contributions are welcome. Submissions should not have previously appeared in a journal or conference (including accepted papers to NeurIPS 2022) and should not be submitted to another NeurIPS workshop. Submissions must adhere to the NeurIPS Code of Conduct. The focus of the work should relate to the list of the topics specified below. The review process will be double-blind and accepted submissions will be presented as virtual talks or posters. There will be no proceedings for this workshop, however, authors can opt to have their abstracts/papers posted on the workshop website. We encourage submissions on the following topics from the focus of bridging different perspectives on attention: - Relationships between biological and artificial attention - Attention for reinforcement learning and decision making - Benefits and formulation of attention mechanisms for continual / lifelong learning - Attention as a tool for interpretation and explanation - The role of attention in human-computer interaction and human-robot interaction - Attention mechanisms in Deep Neural Network (DNN) architectures Please submit your papers via the following link: submission website <https://openreview.net/group?id=NeurIPS.cc/2022/Workshop/Attention> IMPORTANT DATES * Submission deadline: Sep 15, 2022 at 11:59PM (AOE) submission website <https://openreview.net/group?id=NeurIPS.cc/2022/Workshop/Attention> * Accept/Reject Notification: Oct 12, 2022 * Camera-ready (final) paper deadline: Nov 25, 2022 at 11:59PM (Anywhere on earth) * Workshop: Dec 2, 2022 CONFIRMED SPEAKERS & PANELISTS Speakers: Pieter Roelfsema (Netherlands Institute for Neuroscience) James Whittington (University of Oxford) Ida Momennejad (Microsoft Research) Erin Grant (UC Berkeley) Henny Admoni (Carnegie Mellon University) Tobias Gerstenberg (Stanford University) Vidhya Navalpakkam (Google Research) Shalini De Mello (NVIDIA) Panelists: David Ha (Google Brain) Pieter Roelfsema (Netherlands Institute for Neuroscience) James Whittington (University of Oxford) Ida Momennejad (Microsoft Research) Henny Admoni (Carnegie Mellon University) Tobias Gerstenberg (Stanford University) Shalini De Mello (NVIDIA) Ramakrishna Vedantam (Meta AI Research) Megan deBettencourt (University of Chicago) Cyril Zhang (Microsoft Research) ORGANIZERS Akanksha Saran (Microsoft Research, NYC) Khimya Khetarpal (McGill University, Mila Montreal) Reuben Aronson (Carnegie Mellon University) Abhijat Biswas (Carnegie Mellon University) Ruohan Zhang (Stanford University) Grace Lindsay (University College London, New York University) Scott Neikum (University of Texas at Austin, University of Massachusetts) REGISTRATION Participants should refer to the NeurIPS 2022 website ( https://neurips.cc/Conferences/2022/Dates) for information on how to register. CONTACT Please reach out to us at attention-workshop(a)googlegroups.com if you have any questions. We look forward to receiving your submissions! Kind Regards, Workshop Organizers All things Attention- Bridging different perspectives on attention

Aug. 17, 2022

Postdoctoral fellowships at the Gatsby Unit

by I-Chun

The Gatsby Computational Neuroscience Unit invites applications for postdoctoral fellowships in theoretical neuroscience. Successful applicants will carry out original research under the guidance of a faculty member, primarily on one of these research themes: - How dynamical computation in neural systems underlies functions ranging from perceptual inference to deliberation, action selection and execution (mentor: Maneesh Sahani). - Deep learning theory (mentor: Andrew Saxe). Applications close at the end of August 2022. For detailed information on the roles and how to apply, please visit www.ucl.ac.uk/gatsby/vacancies About the Gatsby Unit Established in 1998 through a generous grant from the Gatsby Charitable Foundation, the Gatsby Unit has been a pioneering centre for research in theoretical neuroscience and machine learning. The Unit provides a unique multidisciplinary research environment with strong links to the Sainsbury Wellcome Centre for Neural Circuits and Behaviour, the ELLIS Unit at UCL, and other neuroscience and machine learning groups at UCL and beyond. -- I-Chun Lin, PhD Scientific Programme Manager Gatsby Computational Neuroscience Unit, UCL i.lin(a)ucl.ac.uk | www.ucl.ac.uk/gatsby | @GatsbyUCL

Aug. 16, 2022

2 fully funded PhD positions in Groningen

by Michael Biehl

Please excuse multiple postings Two fully funded PhD positions (4 years) are available at the University of Groningen within the project "Robust Learning of Sparse Representations in Neural Networks". The official job announcement including more details and contact information is now available at https://www.rug.nl/about-ug/work-with-us/job-opportunities/?details=00347-0… All applications should be submitted through this website before September 30, 2022. One PhD (PP1) will address the study of "push-pull inhibition" in Deep Learning, supervised by Dr. George Azzopardi (www.cs.rug.nl/~george) Candidates should have a strong background in brain inspired computing and deep learning. The second position (PP2) will be devoted to the statistical physics based analysis of model situations. Candidates for PP2 should have a strong background in (theoretical) physics, ideally with experience in the statistical physics based theory of neural networks and learning. Both positions will be fully funded (4 years) by the Groningen Cognitive Systems and Materials Center https://www.rug.nl/research/fse/cognitive-systems-and-materials/?lang=en -- --------------------------------------------------- Prof. Dr. Michael Biehl Bernoulli Institute for Mathematics, Computer Science and Artificial Intelligence P.O. Box 407, 9700 AK Groningen The Netherlands https://www.cs.rug.nl/~biehl m.biehl(a)rug.nl

Aug. 16, 2022

Two postdoc positions

by Benjamin Dunn

We have two open postdoctoral positions in projects to develop methods for large population neural data. We are looking for good people with backgrounds in statistics, statistical physics, machine learning, topological data analysis, etc., with experience developing and applying methods within neuroscience – ideally with a desire to figure out how the brain works. Many benefits: vacation, parental leave, socialized medicine (it’s Norway), good salary, supportive environment, trees, great science/math, fjords, etc. It’s nice here. Apply and get info more here: https://www.jobbnorge.no/en/available-jobs/job/229369/2-postdoctoral-fellow… And additional questions to benjamin.dunn(a)ntnu.no Benjamin Dunn Associate professor in neural data science Department of Mathematics & Kavli Institute for Systems Neuroscience, NTNU

Aug. 16, 2022

Postdoctoral position: Theory of deep learning

by Saxe, Andrew

The Saxe lab<http://saxelab.org> is looking for an outstanding postdoctoral researcher to join the group's research programme at UCL. The role lies at the interface of deep learning theory and theoretical neuroscience and will involve conducting research into artificial deep networks using techniques from applied mathematics. A particular focus is on understanding how depth affects learned representations and network behaviour. Funded by the Gatsby Charitable Foundation the Gatsby Computational Neuroscience Unit (GCNU) founded in 1998 is a world-leading centre for research in computational theoretical neuroscience and in probabilistic and statistical machine learning. The Unit's co-location with the Sainsbury Wellcome Centre at UCL creates the potential for a uniquely close interaction between theory and experiment in neuroscience and the integrated study of perception, control and learning. The appointment will initially be for a period of 2 years with the possibility of extension at the end of the period. To apply see the further details at the link below. Screening starts from Aug 25, 2022. https://atsv7.wcn.co.uk/search_engine/jobs.cgi?amNvZGU9MTg4NjEyMCZ2dF90ZW1w… Sincerely, Andrew Saxe

Aug. 16, 2022

INCF Assembly 2022: Late-breaking abstract submission now open!

by INCF

We are inviting submissions of late-breaking abstracts for INCF Neuroinformatics Assembly 2022 <https://neuroinformatics.incf.org/> - *submit your abstracts by Friday August 19!* Curious about which abstracts have already been approved? View the list here <https://neuroinformatics.incf.org/2022/abstracts-list>: bit.ly/INCFAppAbs22 The INCF Neuroinformatics Assembly is an interactive event that will take place virtually from September 12-16 on the Gather platform, with poster sessions in Zohuddle. We’ve chosen these platforms specifically to make your experience as close to an in-person experience as possible. *Why is Assembly’s format different from other virtual conferences?* The Gather platform enables you to “walk” around the virtual space and when you get close to other participants they will pop up on live video. This works the same for posters and exhibitor booths and gives you a much more interactive experience than your ordinary virtual conference! The Assembly offers many training opportunities for participants of all career stages - this year we offer a 2 PhD-credit course on “Neuroscience data integration through use of digital brain atlases”. Find more information about this course and other training sessions here <https://neuroinformatics.incf.org/2022/educational-courses>: bit.ly/Assembly2022courses *What is Zohuddle?* It’s an app to simplify virtual networking, specifically the poster session of Assembly. It works by letting you rank the abstracts that interest you the most, then creating a schedule of “huddles” with an integrated video chat for you to meet your matches! *Important dates:* - *Late-breaking abstract submission closes: Aug 19* - Assembly: September 12-16 *Submit your abstracts here: bit.ly/INCFabstracts22 <http://bit.ly/INCFabstracts22>* /The INCF Team

Aug. 12, 2022

Two postdoc positions in theoretical neuroscience and nonlinear time-series analysis

by Hideaki Shimazaki

*Call for postdoctoral researcher**s* Two postdoc positions are available in (A) theoretical neuroscience and (B) nonlinear time-series analysis/control (or active inference) under the supervision of Prof. Hideaki Shimazaki. *(A) Theoretical Neuroscience* We've been constructing statistical analysis methods for neural data to test theoretical hypotheses on the information coding, underlying circuitry mechanisms, and principles of adaptation in the brain (e.g., Bayesian brain hypothesis, predictive coding, free energy principles). We use methods in statistical physics and machine learning. See references below for our theoretical approaches to analyzing the dynamics of a neural population. We are looking for a postdoc interested in conducting theoretical studies while working closely with neuronal spiking and/or omics data. The contract is yearly-basis and renewable *until March 31, 2026*. Workplace: Kyoto University, Kyoto, Japan *(B) Nonlinear time-series analysis and active inference* Our group strives to understand theoretical principles of organisms' perception and behavior in adapting to the environment and extend the knowledge to create intelligent agents. A postdoc position is available for this research area. We are looking for a postdoc interested in, e.g., Bayesian time-series analysis and control on nonlinear dynamics, the free energy principle, and active inference. The contract is yearly-basis and renewable *until March 31, 2025*. Workplace: Kyoto University, Kyoto, Japan A successful applicant should have a Ph.D. in theoretical neuroscience, machine learning, physics, applied mathematics, or engineering, but not limited to these. The applicant should demonstrate research experiences with a strong publication record. Programming skills in Python or willingness to learn it, will be valued. To apply, please send a CV, a statement of research interest (maximum two pages), and contact information of two references to hideaki.shimazaki(a)gmail.com. Please indicate which job you are interested in (A or B, or both). Either English or Japanese is accepted. The starting date is flexible, while earlier arrival is appreciated. Screening starts *from September 16th*. The salary follows the university rule and depends on the expertise of an appointed researcher. Please feel free to send me any informal questions regarding this post. Sincerely, Hideaki Shimazaki, PhD Email: hideaki.shimazaki(a)gmail.com Webpage: http://www.neuralengine.org Ref: Aguilera, M., Moosavi, S. A., & Shimazaki, H. (2021). A unifying framework for mean-field theories of asymmetric kinetic Ising systems. Nature communications, 12, 1197 <https://www.nature.com/articles/s41467-021-20890-5>. Donner C, Obermeyer K, Shimazaki H. Approximate inference for time-varying interactions and macroscopic dynamics of neural populations. PLoS Computational Biology (2017) 13(1): e1005309 <http://dx.doi.org/10.1371/journal.pcbi.1005309> Shimazaki H, Amari S, Brown EN, and Gruen S, State-space analysis of time-varying higher-order spike correlation for multiple neural spike train data. PLOS Computational Biology (2012) 8(3): e1002385 <http://dx.doi.org/10.1371/journal.pcbi.1002385>

Aug. 12, 2022

International Society for Contemplative Research (ISCR) Inaugural Meeting - Februrary 2-5, 2023

by Vago, David R (University)

Hello colleagues and friends, Event: 2023 inaugural ISCR Annual Meeting Theme: The Self, Wellbeing, Compassion, and Justice Date: 2-5. February 2023 Location: San Diego, CA USA Host: UCSD Focus of society: To support the independent and collaborative work of scholars, scientists, clinicians, and practitioners who are engaged in the rigorous investigation of traditional and modern forms of contemplative and other mind-body practices. *************************** The International Society for Contemplative Research<https://nam04.safelinks.protection.outlook.com/?url=https%3A%2F%2Furldefens…> invites individuals that support the Society’s aims<https://nam04.safelinks.protection.outlook.com/?url=https%3A%2F%2Furldefens…> to submit Abstracts for the 2023 ISCR Annual Meeting at the University of California, San Diego, February 2-5. Individuals can submit through our Abstract submission system<https://nam04.safelinks.protection.outlook.com/?url=https%3A%2F%2Furldefens…> to present in the following formats: Session (Format) Types (Not Including Lunch/Keynote/Invited Speakers): * Workshop ½ Day (3 hours) * Discussion/Roundtable Session (60 or 90 Minutes) * Symposium/Panel (60 or 90 Minutes) * Oral/Paper Presentation (20 Minutes) (If your Abstract is not selected for an Oral Presentation, you can have it considered for a "Poster" * “Poster” Presentation (or Flash Presentations/Abstract Presentation) (A “Poster” can also be considered for a 2-3 Minute Mini-Oral Presentation) +++ The Call for Abstracts is now open (deadline extended: September 30, 2022) +++ ISCR is committed to the principles of Diversity, Equity & Inclusion (see our statement) <https://nam04.safelinks.protection.outlook.com/?url=https%3A%2F%2Furldefens…> and other diversity of thought such as Epistemological Diversity. Preference will be given to Abstracts that address diversity in all its forms. We encourage individuals to Join the Society<https://nam04.safelinks.protection.outlook.com/?url=https%3A%2F%2Furldefens…> to enjoy a number of benefits, including reduced registration. Conference registration will open in August 2022, six months before the event dates. Confirmed keynote speakers are: Anil Seth, University of Sussex (UK) Alan Wallace, Center for Contemplative Research and Santa Barbara Institute for Consciousness Studies (USA) Kakali Bhattacharya, University of Florida (USA) Michael Yellow Bird, University of Manitoba (Canada) ============================== David R. Vago, Ph.D. Research Associate Professor | Department of Psychology | Vanderbilt Brain Institute | Vanderbilt University Contemplative Neuroscience & Mind-Body Research Laboratory<https://nam04.safelinks.protection.outlook.com/?url=https%3A%2F%2Fwww.conte…> | David.vago(a)vanderbilt.edu<mailto:David.vago@vanderbilt.edu> ------- Research Associate, Department of Psychiatry | Brigham & Women’s Hospital | Teaching Affliate of Harvard Medical School Functional Neuroimaging Laboratory<https://nam04.safelinks.protection.outlook.com/?url=http%3A%2F%2Fneuroimagi…> | dvago(a)bwh.harvard.edu<mailto:dvago@bwh.harvard.edu> ------- Research Lead | RoundGlass Living+ Mobile: +1 236-516-6530 [cid316398*image003.png(a)01D81EC5.75001580] ------- Director of Neurosciences, Executive Committee, International Society for Contemplative Research [ISCR]<https://www.contemplativeresearch.org/>

Aug. 11, 2022

Information on the upcoming 7th HBP Student Conference on Interdisciplinary Brain Research

by HBP Education

Dear Sir or Madam, We kindly ask you to include our upcoming 7th HBP Student Conference on Interdisciplinary Brain Research in your scientific event calendar or share via your communication channels. Please find further information about the event below and in the attached pdf file. Thank you very much for your support! With kind regards, HBP Education Team ____________________________________________ We are happy to invite you to the 7th HBP Student Conference on Interdisciplinary Brain Research. Please also share this information in your networks! The 7th HBP Student Conference will take place from 18-20 January 2023 in Madrid, Spain. Participation is open to the entire student community and early-career researchers, regardless of whether they are affiliated with the Human Brain Project (HBP) or not. The 7th HBP Student Conference provides an open forum for the exchange of new ideas among early career researchers working across various scientific fields relevant to the Human Brain Project (HBP), such as neuroscience, computer science, robotics, medicine, psychology, cognitive science, and philosophy. Attendees will be exposed to the data-driven and multidisciplinary brain research approach of the HBP and will have the opportunity to use the EBRAINS research infrastructure. The conference will provide space for extensive scientific dialogue (both intra- and interdisciplinary) amongst peers and faculty through a variety of discussion sessions, lectures, workshops & hands-on training sessions and social events. Call for Submissions The Conference invites high-quality submissions describing innovative research in all disciplines addressed in the HBP. These contributions can emphasize theoretical or empirical works relating to a wide spectrum of fields including, but not limited to neuroscience, computer science, robotics, medicine, psychology, cognitive science and philosophy. We particularly encourage submissions with a potential to inspire collaboration in the research community by introducing new and relevant problems, concepts, and ideas, even if the work is at an early stage of development. For further information on abstract submission please visit the conference website. The abstract submission deadline is 3 October 2022. Participants are also welcomed without contributing to the scientific programme. Early Bird Registration Deadline: 1 December 2022 Regular Registration Deadline: 4 January 2023 Please register via the conference website. For any further questions, please contact the HBP Education Programme via education(a)humanbrainproject.eu. We are looking forward to an interesting and productive conference! With kind regards, HBP Education Team

Aug. 5, 2022

Assistant Professor Position at the University of Calgary

by Wilten Nicola

Dear Comp Neuro community, The University of Calgary is currently looking for an assistant professor in biostatistics. This includes computational neuroscientists with a strong statistical background. The full job ad can be found at https://www.mathjobs.org/jobs/list/20288 and I encourage all potential applicants to reach out to the department head, Dr. Antony Ware ( aware(a)ucalgary.ca) for questions. Assistant Professor – Biostatistics Faculty of Science, Department of Mathematics & Statistics The Department of Mathematics and Statistics at the University of Calgary seeks outstanding candidates for a tenure-track position at the rank of Assistant Professor in Biostatistics with an anticipated start date of 1st January, 2023. The successful candidate will have a PhD in biostatistics/statistics or a closely related field. They will have a research program in biostatistical analysis, methodology development, and computation, with a focus on the statistical analysis of and computation with complex data from human, animal, or health/biomedical research and clinical work. They will have an outstanding record of research in the form of publications in high-impact, peer-reviewed journals, awards, invited talks and other scholarly achievements, as appropriate for their career path and stage. A demonstrated record of or potential for attracting and sustaining peer-reviewed external funding is also required, as is a commitment to high-quality teaching and supervision at the undergraduate and graduate level. The successful candidate will join a multidisciplinary and inter-Faculty team of statisticians, biologists, medical researchers and investigators studying models and clinical realities of human and animal disease. Peer-reviewed external funding is expected to be sustained throughout the appointment, and industrial partnerships are strongly encouraged where appropriate. The position includes both teaching and research responsibilities, and will include expectations to recruit and supervise graduate students. Candidates must have excellent communication and interpersonal skills. The candidate is expected to contribute to the interdisciplinary Biostatistics and Data Science programs at the University and to complement Department expertise at both undergraduate and graduate levels. This is an excellent opportunity to develop a vigorous and independent research program within a dynamic and collaborative environment in the Department. The Department has established expertise in statistical research and is developing links with the biomedical research and data science groups in the Faculty of Science, the Cumming School of Medicine and the Faculty of Veterinary Medicine at the University, surrounding research communities and industry. The Department offers a vibrant research environment and the statistical faculty members in the Department excel in both research theory and methods as well as interdisciplinary collaborative work. The Department’s current research areas are broad and support three graduate programs in statistics, biostatistics and actuarial science. The Department is co-hosting programs in Data Science and Analytics with the Department of Computer Science. Current research areas of the biostatistics group include causal inference, Bayesian methods, big data analytics, empirical likelihood, extreme-value analysis, infectious disease modeling, lifetime data analysis, methods for high-dimensional data, non-parametric methods, pseudo and composite likelihood methods, semiparametric and nonparametric models, statistical learning and data mining. The Department is home to the Research Group in Biostatistics (RGB), which is a diverse and active group that includes researchers and students with methodological and applied interests in the medical, health, biological, and social sciences. The University of Calgary offers graduate Biostatistics research training opportunities run jointly by the Departments of Mathematics and Statistics (Faculty of Science) and Community Health Sciences (Cumming School of Medicine). This graduate training is offered at both the PhD and MSc Thesis levels, available as an interdisciplinary specialization in Biostatistics. The University of Calgary, jointly with the University of British Columbia – Okanagan, operates the Canadian Statistical Sciences Institute (CANSSI) Rocky Mountain Data Science Network that offers excellent Biostatistics graduate students the chance of paid four- or eight-month internships, working in governmental, industrial and academic environments. We are currently establishing the CANSSI Rockies Regional Centre that will provide further training and collaborative opportunities with colleagues from 11 other universities in AB, B.C. and Yukon. How to apply Interested individuals are encouraged to submit an application online via the MathJobs.org website. Applications must include the following: • a cover letter containing a description of why this position is of interest to the candidate, and a clear statement of their Canadian Citizenship/Residency status • a description of past, current and future research • a statement describing the candidate’s contributions, or potential contributions to, Equity, Diversity, and Inclusion (EDI) along with their ability to work with a culturally diverse and international student, staff, and faculty body (up to 1 page) • a concise statement of teaching philosophy and focus (1 page) • a curriculum vitae • names and contact information for three references. Three letters of reference, at least one of which addresses teaching, will be required for shortlisted candidates. These letters may be uploaded onto the MathJobs.org site or, if requested, sent directly by the references to Dr. Antony Ware, Head, Department of Mathematics and Statistics Email: aware(a)ucalgary.ca University of Calgary, 2500 University Drive Calgary, AB T2N 1N4 Questions may be addressed to the Search Committee by emailing search(a)math.ucalgary.ca. Only applications received by 30th September, 2022 will be guaranteed full consideration. The University of Calgary’s comprehensive benefits and pension program is designed to promote a productive level of health and well-being to staff members through coverage for health, dental, life insurance, income protection for disability, and retirement income planning. To learn about our comprehensive benefits package, please visit http://www.ucalgary.ca/hr/academic_benefits_pension. The University of Calgary has launched an institution-wide Indigenous Strategy in line with the foundational goals of Eyes High, committing to creating a rich, vibrant, and culturally competent campus that welcomes and supports Indigenous Peoples, encourages Indigenous community partnerships, is inclusive of Indigenous perspectives in all that we do. The University of Calgary recognizes that a diverse staff/faculty benefits and enriches the work, learning and research experiences of the entire campus and greater community. We are committed to removing barriers that have been historically encountered by some people in our society. We strive to recruit individuals who will further enhance our diversity and will support their academic and professional success while they are here. All qualified candidates are encouraged to apply; however, Canadians and permanent residents will be given priority. In this connection, in the cover letter included in your application, please state clearly whether or not you are either a Canadian citizen or a permanent resident of Canada. Additional Information The University of Calgary is pursuing a Growth Through Focus strategic vision involving future-focussed program delivery, transdisciplinary scholarship, and deeper community integration. To learn more about academic opportunities at the University of Calgary and all we have to offer, view our Academic Careers website. For more information about the Faculty of Science visit Careers in the Faculty of Science. About the Faculty of Science The Faculty of Science has been catalyzing change and inspiring discovery, creativity, and innovation for over 50 years. Our strategic direction integrates current and emerging strengths with areas targeted for future growth and investment. Our strategic priorities, goals, and values guide our mission to advance research, scholarship, and innovation, create authentic learning experiences, and inspire careers of the future. We fuel transformational change, and build a strong community through teaching, learning, research, scholarship, and collaborative partnerships. We do this work to generate curiosity-driven discovery and contribute solutions to society's grand challenges. For more information, visit science.ucalgary.ca. We thrive in the dynamic context of the University of Calgary, one of Canada’s most youthful and innovative universities. We are a bold and ambitious research university, grounded in innovative learning and teaching, fully engaged in Calgary’s entrepreneurial spirit. *About the University of Calgary *The University of Calgary is Canada’s leading next-generation university – a living, growing and youthful institution that embraces change and opportunity with a can-do attitude. Located in the nation’s most enterprising city, the university’s Growth Through Focus strategy is putting it on course to be an entrepreneurial university, where students, faculty and staff face fewer barriers to innovation and more tools to change the world around them. The University of Calgary inspires and supports discovery, creativity and innovation across all disciplines. For more information, visit ucalgary.ca. *About Calgary *Alberta Calgary is one of the world's cleanest cities and has been named one of the world's most livable cities for years. Calgary is a city of leaders - in business, community, philanthropy and volunteerism. Calgarians benefit from a growing number of world-class dining and cultural events and enjoy more days of sunshine per year than any other major Canadian city. Calgary is less than an hour's drive from the majestic Rocky Mountains and boasts the most extensive urban pathway and bikeway network in North America

Aug. 4, 2022

Upcoming events by the HBP Education Programme

by HBP Education

Hello, I hope this e-mail finds you well. We are the Human Brain Project Education Programme and specialise in organising workshops and events in which participants are introduced to the research infrastructure EBRAINS. I would like to raise awareness for two upcoming events. Please consider adding them to your list of upcoming events. ---------------------------------------------------- Young Researchers Event meets HIBALL: new digital tools to study the brain Date: 25 October 2022 Website: https://www.humanbrainproject.eu/en/education-training-career/YRE2022-Croat… Description: The human brain is a multi-level and highly complex system that produces, processes and transmits information in an incomparable manner. The Human Brain Project (HBP) unites researchers and scientists to decode the mechanisms underlying this unique system by investigating the human brain and its diseases with the help of highly advanced ICT tools. As such, the HBP is developing EBRAINS, the new European digital research infrastructure, as a lasting contribution to the global science community, an open source tool that allows scientists and technology experts to seamlessly collaborate, thereby accelerating advancements in the fields of neuroscience, computing and brain-related medicine. The Helmholtz International BigBrain Analytics and Learning Laboratory (HIBALL) is an HBP Partnering Project that aims to transform the well-known BigBrain model to its next level by reinforcing utilization and co-development of the latest AI and high-performance computing (HPC) technologies for building highly detailed 3D brain models. HBP and EBRAINS together with the University of Zagreb, School of Medicine and HIBALL invite the entire scientific community, in particular early career researchers, to join the forthcoming Young Researchers Event (YRE), taking place on 25th October in Zadar, Croatia and online. During this one-day free hybrid event, participants can learn more about topics like big data analytics, human brain atlasing and computational neuroscience in interactive plenaries and hands-on workshops. The programme also offers networking opportunities for participants to exchange with peers as well as renowned experts. This event will take place in conjunction with the 6th BigBrain Workshop - From microstructure to functional connectomics. Address: Falkensteiner Resort Punta Skala, 2321 Petrčane, Croatia Registration deadline: 4 October 2022 ———————————————— EBRAINS Workshop: Anatomy and function of the prefrontal cortex across species Date: 14-16 March 2023 Website: https://www.humanbrainproject.eu/en/education/YRE2022-Denmark/ Description: Understanding the human brain relies for a large part on work in animal models, which necessitates a careful cross-species comparison. The prefrontal cortex (PFC) is particularly relevant in this regard as its function is poorly understood and potential cross-species differences remain highly debated. This workshop brings together experimental and computational scientists whose work allows a comparison of the anatomy and function of the PFC between species (in particular between humans, monkeys and mice). EBRAINS is uniquely suited to provide a platform to compare anatomy, physiology and behaviour between species, due to its atlases, numerous datasets, as well as the whole brain models from different species. The interactive format of the workshop will allow speakers as well as participants from largely separated fields to interact and discuss, which is expected to create novel insights as well as lead to more coherence and clarity in the relevant terminology, formats and important research directions in the field. Address: ICM Institute for Brain and Spinal Cord, 47, bd de l'hôpital, Paris, France Registration deadline: 21 November 2022 (Early-Bird Registration), 28 February 2022 (Late Registration) ———————————————————————— Please don’t hesitate to contact us should you need further information. Thank you in advance The HBP Education Team

Aug. 4, 2022

DeepMath 2022 Submission Deadline

by Ahmed El Hady

** *Dear all,* * We are pleased to announce our confirmed lineup of invited speakers for DeepMath 2022: * Francis Bach (INRIA) * Anima Anandkumar (CalTech) * Sara Solla (Northwestern) * Berk Ustun (UCSD) * Yisong Yue (Caltech) * Courtney Paquette (McGill) We are now accepting abstract submissions to the 2022 Conference on mathematical theory of deep neural networks (DeepMath; see https://deepmath-conference.com <https://deepmath-conference.com>for more information). DeepMath is a highly interdisciplinary conference focused on understanding fundamental theory driving the success of Deep Learning. A principal goal of this conference is to bring together theoreticians working on deep learning from various disciplines and perspectives. We therefore encourage submissions from researchers from diverse disciplines including, but not limited to * Statistics * Physics * Computer science * Neuroscience * Mathematics * Psychology * Engineering Topics may address any area of deep learning research such as * Expressivity * Generalization * Optimization * Representations * Computation * Network architectures * Recurrent networks. To complement the many conferences with applications andtheory the focus for DeepMath 2022 will be exclusively on thetheoretical and mechanistic understandingof the underlying properties of neural networks. Abstracts will not be made public (i.e., no official proceedings), and will be doubly-blind reviewed and selected for quality. All poster submissions should be properly anonymized in order to allow for blind refereeing. Submissions should be no more than 1 pagealthough a second page may be used for references. Authors should submit a pdf file prepared using the Latex style file available here <https://drive.google.com/file/d/1dkDhgVN5SHphwQKNLnQiDzkgbp0NFyNT/view?usp=…>and should adopt all formatting, subject headings, font sizes, etc. defined therein. Submissions that fail to meet the format requirements will not be reviewed. The first author listed on the abstract is considered to be the presenting author. Each presenting author may submit only one abstract. Investigators interested in having their abstracts considered for presentation should submit their abstracts no later than August 14, 2022 AOE. Authors may submit their abstracts at: https://cmt3.research.microsoft.com/DEEPMATH2022/ == Location == DeepMath 2022 will be held in San Diego, CA, USA. We anticipate requiring proof of full vaccination as a condition of attendance, and plan on having masking and other requirements equal or more stringent than local and national public health guidelines. Stay tuned to the DeepMath website (www.deepmath-conference.com <http://www.deepmath-conference.com>) for more details on venue and hotels. As with all prior years, all talks will be freely live-streamed over YouTube and subsequently posted on the DeepMath YouTube channel == Registration == DeepMath 2022 registration will open late summer. As with previous DeepMath conferences, all talks will be live-streamed for free and uploaded for later viewing subject to presenter approval. All the best, Ahmed El Hady On behalf of the DeepMath 2022 Organizational Committee *

Aug. 1, 2022

EBRAINS Workshop 14-16 March 2023, Paris FR - Anatomy and function of the prefrontal cortex across species

by Zélie Tournoud

Dear colleagues, Please find below the announcement of the EBRAINS Workshop "Anatomy and function of the prefrontal cortex across species" taking place 14-16 March 2023 in Paris, France. Registration is currently open with an early bird pricing. Kind regards, *Zélie Tournoud*/ EITN Communication manager/ *European Institute for Theoretical Neuroscience (EITN)* UMR 9197 – *NeuroPSI*(Institut des Neurosciences Paris-Saclay) CNRS – Université Paris-Saclay Centre CEA Paris-Saclay Bâtiment 151 91400 Saclay https://www.eitn.org <https://www.eitn.org> _____ EBRAINS Workshop Anatomy and function of the prefrontal cortex across species *14 – 16 March 2023 | Paris, France* Program, information and registration: https://www.humanbrainproject.eu/en/education-training-career/workshops/pfc/<https://www.humanbrainproject.eu/en/education-training-career/workshops/pfc/> *Early Bird Registration Deadline: 21 November 2022 * *Late Registration Deadline: 28 February 2023* About Understanding the human brain relies for a large part on work in animal models, which necessitates a careful *cross-species comparison*. The *prefrontal cortex* (PFC) is particularly relevant in this regard as its function is poorly understood and potential cross-species differences remain highly debated. This workshop brings together experimental and computational**scientists whose work allows a comparison of the *anatomy* and *function* of the PFC between species (in particular between humans, monkeys and mice). EBRAINS <http://ebrains.eu/> is uniquely suited to provide a platform to compare anatomy, physiology and behaviour between species, due to its atlases, numerous datasets, as well as the whole brain models from different species. The *interactive format* of the workshop will allow speakers as well as participants from largely separated fields to interact and discuss, which is expected to create novel insights as well as lead to more coherence and clarity in the relevant terminology, formats and important research directions in the field. Confirmed speakers *Day 1* *Anatomy:* *Javier DeFelipe* | Cajal Institute, Madrid, Spain *Huib Mansvelder* | Vrije Universiteit Amsterdam, Amsterdam, The Netherlands *Chet Sherwood* | GW Mind-Brain Institute, Washington, USA *Suzana Herculano-Houzel *| Vanderbilt University, Nashville, USA *Henry Kennedy* | Stem Cell and Brain Research Institute, Lyon, France *Marie Carlén* | Karolinska Institute, Stockholm, Sweden *Physiology:* *Wim Vanduffel* | KU Leuven, Leuven, Belgium *Mark Laubach* | American University, Washington, USA *Stefan Everling* | Western University, London, Canada *Hendrikje Nienborg* | National Eye Institute, Bethesda, USA *Martha Havenith* | Ernst Strüngmann Institute for Neuroscience, Frankfurt, Germany *Yang Dan* | University of California, Berkeley, USA *Day 2* *Behavior & physiology:* *Pieter Roelfsema* | Netherlands Institute for Neuroscience, Amsterdam, The Netherlands *Andreas Nieder* | University of Tübingen, Tübingen, Germany *Sandra Reinert* | Max Planck Institute for Biological Intelligence, Martinsried, Germany *Ann Duan* | Sainsbury Wellcome Centre, London, UK *Stanislas Dehaene* | NeuroSpin, Gif-sur-Yvette, France *Jessica Cantlon* | Carnegie Mellon University, Pittsburgh, USA *Computational modelling:* *Idan Segev* | Edmond & Lily Safra Center for Brain Sciences, Jerusalem, Israel *Rodrigo Cofre* | NeuroPSI, Gif-sur-Yvette, France *Rubén Moreno Bote* | University Pompeu Fabra, Barcelona, Spain *Jorge Mejias* | Universiteit van Amsterdam, Amsterdam, The Netherlands *Adrienne Fairhall* | University of Washington, Seattle, USA *Xiao-Jing Wang *| New York University, New York, USA Scientific Chairs & Local hosts *Timo van Kerkoerle**|***CEA Saclay, France *Alain Destexhe* *|*** CNRS, France *Ruth Benavides-Piccione* *|***Spanish National Research Council & Universidad Politécnica de Madrid, Spain

Aug. 1, 2022

2 fully funded PhD positions at the Univ. of Groningen

by Michael Biehl

Two fully funded (4 years) PhD positions in Neural Networks / Machine Learning / Deep Learning are available at the University of Groningen / NL within the project: "*Robust Learning of **Sparse Representations: * *Brain-inspired Inhibition and **Statistical Physics* *Analysis*". Main supervisors and sub-projects: George Azzopardi (https://www.cs.rug.nl/~george/) "*Push-pull inhibition in deep, convolutional * *(spiking) neural networks*" Michael Biehl (https://www.cs.rug.nl/~biehl/) "*Statistical physics analysis of learning processes * *in model situations*" For details and your expression of interest please visit https://t.co/VLjgKzPxJp *Apologies for multiple postings.* *Please circulate and distribute further.* -- --------------------------------------------------- Prof. Dr. Michael Biehl Bernoulli Institute for Mathematics, Computer Science and Artificial Intelligence P.O. Box 407, 9700 AK Groningen The Netherlands https://www.cs.rug.nl/~biehl m.biehl(a)rug.nl

July 29, 2022

Preparatory workshop for shaping funded research teams in neuromorphic and unconventional computing (Europe only)

by Herbert Jaeger

The Volkswagen Foundation -- Germany's largest private research funding organization -- launches an initiative for the development of neuromorphic and other non-digital approaches to analyse and engineer computing systems. One action within this initiative is to support the formation of INTERDISCIPLINARY, possibly multi-national research teams. In a preparatory "Ideation" workshop, to be held in Einbeck (Germany) in December 5-8, 2022, European researchers interested in non-digital computing are invited to exchange views and ideas and start networking. The target audience is open-minded postdocs and assistant/junior professors with backgrounds in relevant areas - including but not restricted to materials and devices, microchip technology, optical computing, neuroscience, cognitive modeling, theory of computing, machine learning, complex dynamical systems, or philosophy of computing. The aim of the workshop is the nucleation of research teams who subsequently submit funding proposals for large-scale interdisciplinary research projects. More information can be found at https://www.volkswagenstiftung.de/en/funding/our-funding-portfolio-at-a-gla…. -- Dr. Herbert Jaeger Professor of Computing in Cognitive Materials Rijksuniversiteit Groningen Faculty of Science and Engineering - CogniGron Bernoulliborg Nijenborgh 9, 9747 AG Groningen office: Bernoulliborg 402 phone: +31 (0) 50-36 32473 COVID home office phone: +49 (0) 4209 930403 web: www.ai.rug.nl/minds/

July 28, 2022

Workshop on Big Data Neuroscience UT Austin

by Franco Pestilli

Dear Colleagues, We are excited to announce the 7th annual Big Data Neuroscience (BDN) workshop organized by the Advanced Computational Neuroscience Network <https://neurosciencenetwork.org/ACNN_Workshop_2022.html#home>. The BDN workshop brings together researchers in neuroscience, computer science, statistics, computer engineering, structural biology, neuroinformatics, and related disciplines. The BDN workshop will be held in Austin, Texas, September 15-16, 2022. The themes of the workshops will be on the following topics: (1) Data Governance and Infrastructure, (2) Measurements and Acquisition, (3) Advanced Analysis and Applications, (4) Software, Sharing and Publication, (5) Standards and Validation. We have an exciting line-up of speakers spanning multiple disciplines of science and engineering: James Carson (Kristen Harris’ NeuroNex, UT Austin), Dan Stanzione (TACC), Damian Eke (De Montfort University), Axel Brunger (Stanford University), Martin Paulus (Laureate Institute), Jason McLellan (UT Austin), Jingyu Liu (Georgia State), Jessica Church-Lang (UT Austin), Chen Yu (UT Austin), Angie Laird (Florida International University), Maryann Martone (University of California San Diego), Laura Colgin (The University of Texas at Austin), Franco Pestilli (UT Austin), Piotr Sliz (Harvard University), Yaroslav Halchenko (Dartmouth), Dora Hermes (Mayo Clinic), and David Kennedy (UMass Medical School). In addition to science and engineering, the workshop will host a panel discussion on “Challenges and opportunities for international-scale infrastructure to advance data sharing and equity” with representatives from the National Science Foundation, the National Institutes of Health, Kavli Foundation, Nature Publishing Group, and Wellcome Trust. Registration You can register for the workshop using this form <https://forms.gle/xkAv9dgErAGzXPodA>. The deadline is September 1st, 2022. Call for Posters and Lightning Talks You can submit your abstract here <https://forms.gle/uyBRgaJb91CjoSUr9>. The deadline is August 18, 2022. Travel Scholarships A few travel scholarships for trainees with underrepresented backgrounds and diverse geographical locations are available. Use the abstract submission form to apply for a travel scholarship <https://forms.gle/uyBRgaJb91CjoSUr9>. The deadline is August 18, 2022. Please visit www.neurosciencenetwork.org for more information. Best regards, Franco Pestilli, The University of Texas at Austin Susanne Ressl, The University of Texas at Austin Josiah Leong, University of Arkansas Sharlene Newman, University of Alabama Jessica Turner, Georgia State Ivo Dinov, University of Michigan *FRANCO PESTILLI*, *Ph.D.* | *Associate Professor* Department of Psychology <https://liberalarts.utexas.edu/psychology/index.php> | College of Liberal Arts <https://liberalarts.utexas.edu/> | The University of Texas at Austin <https://www.utexas.edu/> he/him | pestilli(a)utexas.edu | web <https://liberalarts.utexas.edu/psychology/faculty/fp4834> | GitHub <https://github.com/francopestilli> | brainlife.io CONFIDENTIALITY NOTICE: This e-mail message, including any attachments, is for the sole use of the intended recipient(s) and may contain confidential and privileged information. Any unauthorized review, use, disclosure or distribution is prohibited. If you are not the intended recipient, please contact the sender by reply e-mail and destroy all copies of the original message.

July 27, 2022

Post-doc in Neurophysiology: Cortical control of free viewing eye movements

by Bisley, James

Apologies for cross-posting We invite applications for a post-doc position studying the cortical control of free viewing eye movements at UCLA. The work will include recording from the frontal eye field and superior colliculus as well as inactivation experiments in LIP and FEF. For more information about the sort of work done in the lab, check out our publications at https://www.ncbi.nlm.nih.gov/myncbi/james.bisley.1/bibliography/public/. UCLA is growing its visual neuroscience footprint and now is an exciting time to be in Los Angeles. Applicants should have a strong background in systems neurophysiology, behavioral training or computational neuroscience and be comfortable working independently on all aspects of the project. Previous experience with NHP recording, the use of open source recording systems and data analysis is desirable. Candidates should hold a PhD in neuroscience, psychology or a related discipline. The position is initially for 12 months with the possibility of renewal. Compensation will be commensurate with relevant experience. Candidates should send a CV, a brief statement of research experience and interests, expected date of availability, and the contact information for two references to James Bisley (jbisley(a)mednet.ucla.edu) Cheers, James ________________________________ UCLA HEALTH SCIENCES IMPORTANT WARNING: This email (and any attachments) is only intended for the use of the person or entity to which it is addressed, and may contain information that is privileged and confidential. You, the recipient, are obligated to maintain it in a safe, secure and confidential manner. Unauthorized redisclosure or failure to maintain confidentiality may subject you to federal and state penalties. If you are not the intended recipient, please immediately notify us by return email, and delete this message from your computer.

July 27, 2022

Postdoc and grad student positions at intersection of AI and Neuroscience

by Luczak, Artur

Dear All, We are looking for postdocs and graduate students (Master’s and/or Ph.D. levels) to use inspirations from neuroscience to make better AI and conversely to apply AI to better understand brain function and behaviour. Projects will be related to our recent work: Neurons learn by predicting future activity. Nature Machine Intelligence 2022 https://www.nature.com/articles/s42256-021-00430-y Predictive neuronal adaptation as a basis for consciousness. Front in Sys Neurosci 2022 https://www.frontiersin.org/articles/10.3389/fnsys.2021.767461/full Miniaturized head-mounted microscope for whole-cortex mesoscale imaging in freely behaving mice. Nature Methods 2021 https://www.nature.com/articles/s41592-021-01104-8 A Matlab-based toolbox for characterizing behavior of rodents engaged in string-pulling. Elife 2020 https://elifesciences.org/articles/54540 Challenges of a small world analysis for the continuous monitoring of behavior in mice. Neuroscience and Behavioral Reviews 2022 https://www.sciencedirect.com/science/article/pii/S0149763422001105 Data-driven analyses of motor impairments in animal models of neurological disorders. PLoS Biology 2019 https://journals.plos.org/plosbiology/article?id=10.1371/journal.pbio.30005… The project is a collaborative effort between the research groups of Majid Mohajerani (http://lethbridgebraindynamics.com/majid-mohajerani/) and Artur Luczak (http://lethbridgebraindynamics.com/artur-luczak/) Successful candidates will join the highly collaborative and interdisciplinary Canadian Centre for Behavioural Neuroscience and Brain Dynamics group. We are located close to Rocky Mountains, Lethbridge has the largest number of sunny days in Canada, and it is the most affordable city for young people in Canada (https://dailyhive.com/calgary/alberta-city-most-affordable-young-people ). The applications review will start on Aug 15th till the positions are filled. Interested applicants must send an email to Dr Mohajerani (mohajerani(a)uleth.ca<mailto:mohajerani@uleth.ca>) and Dr. Luczak (luczak(a)uleth.ca<mailto:luczak@uleth.ca>) and include a cover letter, curriculum vitae, a brief statement of research interests, and contact information of three references. Cheers, Artur

July 26, 2022

Several PhD positions in clinical EEG and MEG at SFU, Vancouver

by Vasily Vakorin

Dear moderators, Can you please post this ad? Thank you. Several PhD positions in clinical EEG and MEG at SFU, Vancouver Several funded Ph.D. positions are available at Simon Fraser University (Vancouver, Canada), at the Department of Biomedical Physiology and Kinesiology and the School of Engineering Science. Ph.D. candidates will focus on research in neurophysiology, such as electroencephalography (EEG) and magnetoencephalography (MEG), and machine learning to study clinical populations. Two Ph.D. projects will use clinical routine EEG recorded and evaluated in public hospitals in the process of neurological evaluation to predict patients’ clinical profiles. The other project will apply MEG to explore cortico-cerebellar brain networks in children with autism. Ph.D. candidates are expected to get experience with digital signal processing, multivariate statistics, predictive analytics (deep learning and classical machine learning) and data analysis with applications in clinical and cognitive neuroscience, and further develop scientific programming skills (Python). The ideal start date is September 2022, but in general it is flexible. For more information, please contact Dr. Sam Doesburg, Dr. Teresa Cheung, and Dr. Vasily Vakorin: https://www.bcni-sfu.net . If you are interested, please send your cover letter and CV to vvakorin(a)sfu.ca . Please name the attached files according to the format: Lastname_Firstname_cv.pdf and Lastname_Firstname_coverletter.pdf . Thank you, Vasily Vakorin, Ph.D. Scientist & NeuroInformatics Lead - Behavioral & Cognitive Neuroscience Institute Adjunct Professor - Biomedical Physiology & Kinesiology Simon Fraser University, British Columbia, Canada Affiliated Researcher - Fraser Health Authority, British Columbia email: vvakorin(a)sfu.ca

July 26, 2022

AMALEA workshop September 12-16

by Michael Biehl

On behalf of Prof. Dr. Nicolai Petkov (www.cs.rug.nl/~petkov) *International workshop on Applications of Machine Learning and Neural Networks* *AMALEA, 12-16 Sept 2022, Cetraro, Calabria, Italy* Dear colleagues and friends, There are a few rooms still available for AMALEA - APPLICATIONS OF MACHINE LEARNING International Workshop, Cetraro, Italy, September 12-16, 2022 http://amalea.web.rug.nl/index.html Venue: Grand Hotel San Michele on the West, Tyrrhenian sea coast of Southern Italy with a surrounding own land estate, golf course, private beach and a conference center. Photo gallery Aim: to provide a discussion forum for scientists from different disciplines where they can inspire and learn from each other, meet new people and form new research alliances. Format: a single track for talks from 10:00-12:30H and 17:00-19:30H in the conference center. Enough time for discussions outside the conference room: during breakfast on the terrace overlooking the Tyrrhenian sea, at lunch in the private beach restaurant, in the afternoon break on the private beach, at dinner on the hotel terrace and after dinner listening to the life piano music in the grand salon. Please visit the workshop website for further information and contact. -- --------------------------------------------------- Prof. Dr. Michael Biehl Bernoulli Institute for Mathematics, Computer Science and Artificial Intelligence P.O. Box 407, 9700 AK Groningen The Netherlands https://www.cs.rug.nl/~biehl m.biehl(a)rug.nl

July 26, 2022

Sergey Levine speaking on July 28 in Developing Minds global online lecture series

by Jochen Triesch

Dear colleagues, On July 28, the Developing Minds global online lecture series will feature Sergey Levine, UC Berkeley, USA: "From Reinforcement Learning to Embodied Learning“ https://sites.google.com/view/developing-minds-series/home The live event will take place via zoom at: 09:00 PDT (Pacific Daylight Time) 16:00 UTC (Universal Coordinated Time) 18:00 CEST (Central European Summer Time) 01:00 JST, July 29 (Japan Standard Time) To participate please register here: https://sites.google.com/view/developing-minds-series/home Abstract Reinforcement learning provides one of the most widely studied abstractions for learning-based control. However, while the RL formalism is elegant and concise, real-world embodied learning problems (e.g., in robotics) deviate substantially from the most widely studied RL problem settings. The need to exist in a real physical environment challenges RL methods in terms of generalization, robustness, and capacity for lifelong learning -- all aspects of the RL problem that are often neglected in commonly studied benchmark problems. In this talk, I will discuss how we can devise a framework for learning-based control that is at its core focused on generalization, robustness, and continual adaptation. I will argue that effective utilization of previously collected experience, in combination with multi-task learning, represents one of the most promising paths for tackling these challenges, and present recent research in RL and robotics that studies this perspective. Bio Sergey Levine received a BS and MS in Computer Science from Stanford University in 2009, and a Ph.D. in Computer Science from Stanford University in 2014. He joined the faculty of the Department of Electrical Engineering and Computer Sciences at UC Berkeley in fall 2016. His work focuses on machine learning for decision making and control, with an emphasis on deep learning and reinforcement learning algorithms. Applications of his work include autonomous robots and vehicles, as well as computer vision and graphics. His research includes developing algorithms for end-to-end training of deep neural network policies that combine perception and control, scalable algorithms for inverse reinforcement learning, deep reinforcement learning algorithms, and more. Web: https://people.eecs.berkeley.edu/~svlevine/ The talk will also be recored and the recording made available via the web page: https://sites.google.com/view/developing-minds-series/home Stay healthy, Jochen Triesch -- Prof. Dr. Jochen Triesch Johanna Quandt Chair for Theoretical Life Sciences Frankfurt Institute for Advanced Studies and Goethe University Frankfurt http://fias.uni-frankfurt.de/~triesch/ Tel: +49 (0)69 798-47531 Fax: +49 (0)69 798-47611

July 26, 2022

Announcement: spiking neural networks workshop Nov 9-10, deadline Sept 28

by Goodman, Daniel F M

We will be holding the third incarnation of our annual workshop SNUFA<http://snufa.net/2022/> on spiking neural networks. This online workshop brings together hundreds of researchers in the fields of computational neuroscience, machine learning, and neuromorphic engineering to present their work and discuss ways of translating these findings into a better understanding of neural circuits. Topics include artificial and biologically plausible learning algorithms and the dissection of trained spiking circuits toward understanding neural processing. We have a manageable number of talks with ample time for discussions. Key information * The workshop will take place 9-10 November in the afternoons (central europe timezone). * Registration is free but mandatory. Click here to register<https://www.eventbrite.co.uk/e/snufa-workshop-2022-tickets-387490864607>. * Abstract submission deadline is 28 September. Click here to submit<https://forms.office.com/r/izX1Wimhy6>. * Final decisions by 12 October. Invited speakers * Charlotte Frenkel<https://chfrenkel.github.io/>, TU Delft * Priya Panda<https://intelligentcomputinglab.yale.edu/>, Yale * Yiota Poirazi<http://dendrites.gr/>, Institute of Molecular Biology and Biotechnology (IMBB) * Yonghong Tian<https://www.pkuml.org/>, Peking University Abstracts will be made publicly available at the end of the abstract submissions deadline for blinded public comments and ratings. We will select the most highly rated abstracts for contributed talks, subject to maintaining a balance between the different fields of, broadly speaking, neuroscience, computer science and neuromorphic engineering. Abstracts not selected for a talk will be presented as posters, and there is an option to submit an abstract directly for a poster and not a talk if you prefer. The workshop will also feature a debate with all speakers invited. The subject of the debate is yet to be decided - please do get in touch if you have a fun idea! To get a feel for the workshop, take a look at our previous incarnations on YouTube for 2020<https://www.youtube.com/playlist?list=PL09WqqDbQWHFvM9DFYkM_GfnrVnIdLRhy> and 2021<https://www.youtube.com/playlist?list=PL09WqqDbQWHEqm1_3a620tKUKnC6FgBrG>. Many thanks, and hope to see you there, The SNUFA executive committee, Dan Goodman Friedemann Zenke Katie Schuman Tim Masquelier

July 22, 2022

[jobs] 2 year independent Postdoc position in human centered AI (German required)

by Laurenz Wiskott

The Institute for Neural Computation of the Faculty of Computer Science is looking for a Postdoc (m,f,x) for 2 years, full-time, TVL E13 The Institute for Neural Computation is part of the Faculty of Computer Science at the Ruhr-University Bochum, see https://www.ini.rub.de/. It focuses on the dynamics and learning of perception and behavior on a functional level but is otherwise very diverse, ranging from neurophysiology and psychophysics over computational neuroscience to machine learning and technical applications. There is an open position for a postdoc in the group of Prof. Dr. Laurenz Wiskott to be filled October 1st. The project is part of the competence center HUMAINE for human-centered artificial intelligence, see https://humaine.info/, and will be developed in close collaboration with colleagues at RUB and application partners in industry, among others. We offer: * An interesting interdisciplinary environment in the field of Artificial Intelligence / Machine Learning. * Opportunity to develop an independent research profile and your own research group. * Opportunity to pursue further scientific qualification. * Diverse and interesting contacts at the university, in transfer, and in industry. * A lot of room for own ideas and initiatives. Your tasks: * Acquiring and maintaining industry contacts. * Scientific advice for companies to help them introduce AI in work processes. * Advising corresponding PhD and student projects. * Coordination of events and teaching of advanced training courses about human-centered AI for developers and decision makers in industry Your profile: * Very good PhD in mathematics, computer science, engineering, or a related field * Solid knowledge in Artificial Intelligence / Machine Learning. * Good programming and mathematical skills * Good command of German. * Good organizational and communicative abilities. * Advantageous: + Experience in industry cooperations and interdisciplinary projects. + Programming skills in Python. Our offerings: * Challenging and varied tasks with a high degree of personal responsibility * Support from and cooperation with competent colleagues * A dynamic environment * Fair and flexible working hours * Support in reconciling family and work/academics (including childcare placement, holiday offers, mobile children's room) Additional information: The load of teaching will be calculated according to § 3 of Lehrverpflichtungsverordnung (state of North Rhine-Westphalia). Contact details for your application: Prof. Dr. Laurenz Wiskott, Phone: +49234 32 27997 Travel expenses for interviews cannot be refunded. For information on the collection of personal data in the application process see: https://www.ruhr-uni-bochum.de/en/information-collection-personal-data-appl…. We are looking forward to receiving your application with the specification ANR: 800 until 08.08.2022, send by e-mail to the following address: laurenz.wiskott(a)rub.de extent: full-time duration: temporary beginning: as soon as possible application dateline: 08.08.2022 The Ruhr-Universität Bochum is one of Germany’s leading research universities, addressing the whole range of academic disciplines. A highly dynamic setting enables researchers and students to work across the traditional boundaries of academic subjects and faculties. To create knowledge networks within and beyond the university is RUB’s declared aim. The Ruhr-Universität Bochum stands for diversity and equal opportunities. For this reason, we favour a working environment composed of heterogeneous teams, and seek to promote the careers of individuals who are underrepresented in our respective professional areas. The Ruhr-Universität Bochum expressly requests job applications from women. In areas in which they are underrepresented they will be given preference in the case of equivalent qualifications with male candidates. Applications from individuals with disabilities are most welcome. __________________________________________________________________________ Prof. Dr. Laurenz Wiskott room: NB 3/29 Institut für Neuroinformatik phone: +49 234 32-27997 Ruhr Universität Bochum fax: +49 234 32-14210 D-44780 Bochum, Germany https://www.ini.rub.de/PEOPLE/wiskott/ laurenz.wiskott(a)rub.de __________________________________________________________________________

July 22, 2022

Reminder: SMILES workshop call extended 28th July

by Xavier Hinaut

The SMILES (Sensorimotor Interaction, Language and Embodiment of Symbols) Workshop will take place both on site and virtually at the ICDL 2022 (International Conference on Developmental Learning). * Call for abstracts : - Deadline extended: July 28th - Abstracts call: from 1/2 page to 2 pages (onsite and virtual participation are possible) - Abstract format: same as ICDL conference https://www.ieee.org/conferences/publishing/templates.html - Submissions: smiles.conf(a)gmail.com + indicate if you will be onsite or online - Workshop dates: September 12, 2022 - Venue onsite: Queen Mary University of London, UK. - Venue online: via Zoom and Discord group. - Join our Discord: https://discord.gg/B8xbemQS <https://discord.gg/B8xbemQS> Accepted abstract will be asked to make a short video or poster for the workshop. * Workshop Short Description On the one hand, models of sensorimotor interaction are embodied in the environment and in the interaction with other agents. On the other hand, recent Deep Learning development of Natural Language Processing (NLP) models allow to capture increasing language complexity (e.g. compositional representations, word embedding, long term dependencies). However, those NLP models are disembodied in the sense that they are learned from static datasets of text or speech. How can we bridge the gap from low-level sensorimotor interaction to high-level compositional symbolic communication? The SMILES workshop will address this issue through an interdisciplinary approach involving researchers from (but not limited to): - Sensori-motor learning, - Symbol grounding and symbol emergence, - Emergent communication in multi-agent systems, - Chunking of perceptuo-motor gestures (gestures in a general sense: motor, vocal, ...), - Compositional representations for communication and action sequence, - Hierarchical representations of temporal information, - Language processing and language acquisition in brains and machines, - Models of animal communication, - Understanding composition and temporal processing in neural network models, and - Enaction, active perception, perception-action loop. * More info - contact: smiles.conf(a)gmail.com - organizers: Xavier Hinaut, Clément Moulin-Frier, Silvia Pagliarini, Joni Zhong, Michael Spranger, Tadahiro Taniguchi, Anne Warlaumont. - invited speakers (coming soon) - workshop website (updated regularly): https://sites.google.com/view/smiles-workshop/ <https://sites.google.com/view/smiles-workshop/> - ICDL conference website: https://icdl2022.qmul.ac.uk/ <https://icdl2022.qmul.ac.uk/> Xavier Hinaut on behalf of the SMILES workshop organisers: - Xavier Hinaut, Inria, Bordeaux, France - Clément Moulin-Frier, Inria and Ensta ParisTech, Bordeaux, France - Anne Warlaumont, UCLA, Los Angeles, USA - Silvia Pagliarini, UCLA, Los Angeles, USA - Michael Spranger, Sony AI and Sony CSL, Tokyo, Japan - Tadahiro Taniguchi, Ritsumeikan University, Kyoto, Japan - Junpei Zhong, Hong Kong Polytechnic University, Hong Kong, China Xavier Hinaut Inria Research Scientist www.xavierhinaut.com <http://www.xavierhinaut.com/> -- +33 5 33 51 48 01 Mnemosyne team, Inria, Bordeaux, France -- https://team.inria.fr/mnemosyne <https://team.inria.fr/mnemosyne> & LaBRI, Bordeaux University -- https://www4.labri.fr/en/formal-methods-and-models <https://www4.labri.fr/en/formal-methods-and-models> & IMN (Neurodegeneratives Diseases Institute) -- http://www.imn-bordeaux.org/en <http://www.imn-bordeaux.org/en> --- Our new release of Reservoir Computing library: https://github.com/reservoirpy/reservoirpy <https://github.com/reservoirpy/reservoirpy>

July 21, 2022

INCF IC survey on barriers to neuroscience data sharing and reuse - please forward

by Malin Sandström

The INCF <https://incf.org/> Infrastructure Committee <https://incf.org/about/governance/infrastructure-committee-ic> has created a brief (~2 min) anonymous survey to chart barriers to data sharing and reuse among neuroscience researchers worldwide. The results will be made public, and will be used by INCF and collaborators to develop strategies and activities for supporting the global neuroscience community. To have real impact, the survey needs to reach the broadest possible range of neuroscience researchers. We would be very grateful for your help in spreading the word to your friends and colleagues - the more responses we get, the more valuable and useful the survey will be! Take the survey <https://forms.gle/Gnq8Eb7eMFg1JxBJ7> *No personal data will be collected within this survey, but please note that the survey uses Google Forms; their privacy policies can be found here <https://policies.google.com/privacy?hl=en-US>. Follow the link to the survey if you agree with these policies. Best regards, Malin Sandström on behalf of the INCF Infrastructure Committee -- Malin Sandström, PhD Community Engagement Officer malin.sandstrom(a)incf.org ORCID: 0000-0002-8464-2494 International Neuroinformatics Coordinating Facility Karolinska Institutet Nobels väg 15 A SE-171 77 Stockholm Sweden http://www.incf.org

July 21, 2022

Registration for "Simulate with EBRAINS" training is *open*

by Lührs, Anna

Dear all, We are happy to announce that the registration for our workshop Simulate with EBRAINS How to use EBRAINS research infrastructure and Fenix resources for simulations on a scale from molecules via small and large networks of point or structured spiking neurons to simplified whole brain activity and virtual environments is now open! The workshop will take place virtually from 7-10 November 2022. Registration is free but required. The workshop is open to anyone, with sessions designed for beginners but also at a more advanced level. More information: https://flagship.kip.uni-heidelberg.de/jss/HBPm?m=showAgenda&meetingID=242 <https://flagship.kip.uni-heidelberg.de/jss/HBPm?m=showAgenda&meetingID=242> We are looking forward to e-meet you “there”! Best regards, Anna Lührs on behalf of the organising team

July 21, 2022

notice of UCSD postdoctoral position

by Scott Makeig

We have two postdoctoral positions open in projects to work with the very large and growing corpus of simultaneous EEG, eye tracking, and hand movement data being collected by the Child Mind Institute in New York. These projects are aimed at leading edge advances in EEG and concurrent EEG/behavioral (MoBI) analysis. Please contact me for more information. Basic information about the 1st position is below. Scott Makeig Postdoctoral Scholar - The Institute for Neural Computation (INC) (JPF03263) Job #JPF03263 INSTITUTE NEURAL COMPUTATION / Research / UC San Diego Apply now: https://apol-recruit.ucsd.edu/JPF03263/apply View this position online:https://apol-recruit.ucsd.edu/JPF03263 APPLICATION WINDOW Open date: July 19th, 2022 Next review date: Tuesday, Jul 26, 2022 at 11:59pm (Pacific Time) Apply by this date to ensure full consideration by the committee. Final date: Wednesday, Jul 19, 2023 at 11:59pm (Pacific Time) Applications will continue to be accepted until this date, but those received after the review date will only be considered if the position has not yet been filled. POSITION DESCRIPTION Drs. Scott Makeig and Arnaud Delorme of the Swartz Center for Computational Neuroscience (SCCN), at UC San Diego, are seeking a postdoctoral researcher to work on a potentially three-year compute-intensive neuroimaging project between SCCN (sccn.ucsd.edu) and the Child-Mind Institute of New York ( childmind.org) This Healthy Brain Network (HBN) project ( healthybrainnetwork.org) is collecting MR, eye tracking, and high-density EEG data from up to 10,000 children as they perform cognitive tasks and watch movie/animations. This collaboration, with Dr. Michael Milham (CMI/HBN) and colleagues, seeks to (1) develop a library of terms for the Hierarchical Event Descriptor system (HED-3G) (hedtags.org) and open-source tools for annotating events in movies to operate both standalone and in connection with our EEGLAB signal processing environment ( sccn.ucsd.edu/eeglab) running on Matlab. (2) After annotating the HBN short films, the HBM data will be exported to OpenNeuro (openneuro.org) under BIDS standards (bids.neuroimaging.io), and will be made available via the forthcoming NEMAR data portal (nemar.org) for processing on the XSEDE high-performance computer network via the Neuroscience Gateway (NSG, nsgportal.org) The HBN M/EEG and behavioral/eye tracking data will be analyzed at the source and source network levels (Akalin Acar & Makeig, 2021) using advanced applications of Independent Component Analysis (Makeig et al., 1996; Delorme et al., 2012), Bayesian source and network clustering using SCALE- optimized forward head models (Akalin Acar et al., 2016, 2020). Tools and pipelines developed in the project will be made available in EEGLAB and through NSG. Our neuroscientific goal is to model the development of cortical EEG source dynamics and associated eye gaze patterns during viewing of 'moving pictures', and to model and explore individual differences in these processes. The Office of Research Affairs and INC at UC San Diego is committed to academic excellence and diversity. The University of California employs about 5,963 postdoctoral scholars (approx. 1,200 at UCSD) who contribute to the academic community by enhancing the research and education programs of the university. The postdoctoral experience emphasizes scholarship and continued research training. UC's postdoctoral scholars bring expertise and creativity that enrich the research environment for all members of the UC community, including graduate and undergraduate students. Appointment durations vary depending on the length of the research project and availability of funding. Total duration of an individual’s postdoctoral service may not exceed five years, including postdoctoral service at other institutions. The International Union, United Automobile, Aerospace and Agricultural Implement Workers of America (UAW) is the exclusive representative of the postdoctoral scholars. Applicants should submit their detailed statement of experience and specific qualifications related to this position with their application. Review of applications will commence on July 12, 2022 and will continue until a qualified candidate is selected. Salary is commensurate with qualifications and based on published University of California pay scales. QUALIFICATIONS Basic qualifications (required at time of application) Doctorate degree or its equivalent in fields related to Computational or Cognitive Neuroscience or Biomedical Engineering. Appointment is dependent on academic experience, scholarly achievements, skills and knowledge and needs of the project. Candidates must be able to work remotely as needed, but must be, or be able to be in residence in the United States. Preferred qualifications Postdoctoral or equivalent experience, and commitment to mentoring and research training service to build equitable and diverse scholarly environment. The successful applicant will have a strong background in signal processing and computer science, and an interest in contributing to cognitive neuroscience. -- Scott Makeig, Research Scientist and Director, Swartz Center for Computational Neuroscience, Institute for Neural Computation, University of California San Diego, La Jolla CA 92093-0559, http://sccn.ucsd.edu/~scott

July 20, 2022

postdoctoral position in U.S.

by Scott Makeig

Drs. Scott Makeig and Arnaud Delorme of the Swartz Center for Computational Neuroscience (SCCN), at UC San Diego, are seeking a postdoctoral researcher to work on an innovative human neuroimaging project between SCCN (*sccn.ucsd.edu <http://sccn.ucsd.edu>*) and the Child-Mind Institute of New York ( childmind.org) This Healthy Brain Network (HBN) project (*healthybrainnetwork.org <http://healthybrainnetwork.org>*) is collecting MR, eye tracking, and high-density EEG data from up to 10,000 children as they perform cognitive tasks and watch movie/animations. This collaboration, with Dr. Michael Milham (CMI/HBN) and colleagues, seeks to (1) develop a library of terms for the Hierarchical Event Descriptor system (HED-3G) (*hedtags.org <http://hedtags.org>*) and open-source tools for annotating events in movies to operate both standalone and in connection with our EEGLAB signal processing environment (*sccn.ucsd.edu/eeglab <http://sccn.ucsd.edu/eeglab>*) running on Matlab. (2) After annotating the HBN short films, the HBM data will be exported to OpenNeuro (*openneuro.org <http://openneuro.org>*) under BIDS standards (bids.neuroimaging.io), and will be made available via the forthcoming NEMAR data portal (*nemar.org <http://nemar.org>*) for processing on the XSEDE high-performance computer network via the Neuroscience Gateway (NSG, *nsgportal.org <http://nsgportal.org>*). The HBN M/EEG and behavioral/eye tracking data will be analyzed at the source and source network levels (Akalin Acar & Makeig, 2021) using advanced applications of Independent Component Analysis (Makeig et al., 1996; Delorme et al., 2012), Bayesian source and network clustering using SCALE- optimized forward head models (Akalin Acar et al., 2016, 2020). Tools and pipelines developed in the project will be made available in EEGLAB and through NSG. Our neuroscientific goal is to model the development of cortical EEG source dynamics and associated eye gaze patterns during viewing of 'moving pictures', and to model and explore individual differences in these processes. See *https://apol-recruit.ucsd.edu/JPF03263 <https://apol-recruit.ucsd.edu/JPF03263>* for details. This job search will remain open until filled. Scott -- Scott Makeig, Research Scientist and Director, Swartz Center for Computational Neuroscience, Institute for Neural Computation, University of California San Diego, La Jolla CA 92093-0559, http://sccn.ucsd.edu/~scott

July 19, 2022

Neuroscience cluster hire at Georgetown University

by Rebekah Evans

Assistant Professor on the Tenure Track, Neuroplasticity Across the Lifespan (Cluster Hire) -- Georgetown University Medical Center Georgetown University: Medical Center: School of Medicine Location: Washington, DC Open Date: Jun 16, 2022 Deadline: Oct 31, 2022 at 11:59 PM Eastern Time Application: https://apply.interfolio.com/108764 Description The Medical Center at Georgetown University (GUMC), known for its excellence in research and scholarship, is seeking applicants for a Faculty Cluster Hire (https://ofaa.gumc.georgetown.edu/gumc-cluster-hire-initiative/) consisting of six (6) tenure track positions at the rank of Assistant Professor broadly focused on the topic of “Neuroplasticity Across the Lifespan.” This cluster of new hires will join a vibrant neuroscience research community as we continue to expand our institutional priority areas of research on the Mind & Brain and Aging and Age-Related Diseases. This is the inaugural class of cluster hires as GUMC seeks to expand its ranks of tenure-line faculty. Plasticity is a fundamental ability of the nervous system and essential for its normal function. It occurs at the molecular level (e.g. genome and proteome), the level of the cell (e.g., changes in excitability and receptor signaling), the circuit (e.g., changes in connections), and at the systems and cognitive level (e.g., learning, development, memory, recovery and reorganization after injury). There are few, if any, processes more fundamental to the mind and brain than the remarkable ability to change and adapt. We welcome and encourage applications from candidates working on neuroplasticity at any level of analysis, with particular interests in individuals conducting interdisciplinary research relevant to: (1) neuroimaging across the lifespan and in disease, (2) neuroimmunology of brain-immune interactions, (3) cognitive function across the lifespan, (4) large scale omics and/or network modeling, (5) neurophysiology of brain plasticity, and (6) protein folding and misfolding in aging and neurodegeneration. New hires will join one of seven departments at GUMC (Biochemistry and Molecular & Cellular Biology; Biostatistics, Bioinformatics, & Biomathematics; Microbiology & Immunology; Neuroscience; Neurology; Pathology; or Pharmacology & Physiology), with the departmental appointment and consideration of joint or secondary appointments to be determined during the course of the interview and hiring process. They may also participate in various NIH T32-funded training programs including Interdisciplinary PhD Program in Neuroscience, Aging and Alzheimer's Research Training Program, Neural Injury and Plasticity (NIP) Training Grant, The Training Program in NeuroHIV, the Neuroscience of Language Training Program and other training programs, all of which recruit outstanding students and postdoctoral fellows. The cluster hires will receive mentorship at the department level and through GUMC's Mentoring Program for New and Early Career Faculty. Competitive space, startup funds, and salary will be provided. Georgetown University Medical Center is strongly committed to an environment that fosters inclusive excellence and diverse working and learning communities. We are particularly eager to consider candidates committed to our institutional mission to continue to build a thriving, collaborative, diverse, inclusive, and welcoming scholarly community. Qualifications • Candidates must meet the standards in scholarship, education, and service for a Tenure Line Assistant Professor ( https://georgetown.box.com/s/2krdblqefi11xugun8u3dyvcv5gbyjd6) Please note that these standards are illustrative and not all inclusive of the standards for this position. • Work on neuroplasticity at any level of analysis, with particular interests in individuals conducting interdisciplinary research relevant to: (1) neuroimaging across the lifespan and in disease, (2) neuroimmunology of brain-immune interactions, (3) cognitive function across the lifespan, (4) large scale omics and/or network modeling, (5) neurophysiology of brain plasticity, and (6) protein folding and misfolding in aging and neurodegeneration. Application Instructions Interested individuals should submit via Georgetown’s electronic platform: (i) a curriculum vitae, (ii) three representative publications, (iii) a statement that describes past engagement with and future commitment to diversity, equity and inclusion as applicable to your scholarship, teaching, mentorship, or service (no more than one-page) and (iv) names of three references and contact information. To facilitate blind review, applicants should also submit (v) an anonymized statement of three of your most significant contributions to science to date and future research interests (no more than three pages), without reference to information that would reveal identities, professional titles, journal titles or PhD granting institutions. Preference will be given to applications submitted before October 1, 2022. Rebekah Evans M.Ed., Ph.D. Assistant Professor Department of Neuroscience Georgetown University 3970 Reservoir Rd. NW, NRB EG31 Washington DC RebekahColemanEvans(a)gmail.com

July 19, 2022

SMILES workshop call extended 28th July

by Xavier Hinaut

The SMILES (Sensorimotor Interaction, Language and Embodiment of Symbols) Workshop will take place both on site and virtually at the ICDL 2022 (International Conference on Developmental Learning). * Call for abstracts : - Deadline extended: July 28th - Abstracts call: from 1/2 page to 2 pages (onsite and virtual participation are possible) - Abstract format: same as ICDL conference https://www.ieee.org/conferences/publishing/templates.html - Submissions: smiles.conf(a)gmail.com + indicate if you will be onsite or online - Workshop dates: September 12, 2022 - Venue onsite: Queen Mary University of London, UK. - Venue online: via Zoom and Discord group. https://discord.gg/B8xbemQS <https://discord.gg/B8xbemQS> Accepted abstract will be asked to make a short video or poster for the workshop. * Workshop Short Description On the one hand, models of sensorimotor interaction are embodied in the environment and in the interaction with other agents. On the other hand, recent Deep Learning development of Natural Language Processing (NLP) models allow to capture increasing language complexity (e.g. compositional representations, word embedding, long term dependencies). However, those NLP models are disembodied in the sense that they are learned from static datasets of text or speech. How can we bridge the gap from low-level sensorimotor interaction to high-level compositional symbolic communication? The SMILES workshop will address this issue through an interdisciplinary approach involving researchers from (but not limited to): - Sensori-motor learning, - Symbol grounding and symbol emergence, - Emergent communication in multi-agent systems, - Chunking of perceptuo-motor gestures (gestures in a general sense: motor, vocal, ...), - Compositional representations for communication and action sequence, - Hierarchical representations of temporal information, - Language processing and language acquisition in brains and machines, - Models of animal communication, - Understanding composition and temporal processing in neural network models, and - Enaction, active perception, perception-action loop. * More info - contact: smiles.conf(a)gmail.com - organizers: Xavier Hinaut, Clément Moulin-Frier, Silvia Pagliarini, Joni Zhong, Michael Spranger, Tadahiro Taniguchi, Anne Warlaumont. - invited speakers (coming soon) - workshop website (updated regularly): https://sites.google.com/view/smiles-workshop/ - ICDL conference website: https://icdl2022.qmul.ac.uk/ Xavier Hinaut on behalf of the SMILES workshop organisers: - Clément Moulin-Frier, Inria and Ensta ParisTech, Bordeaux, France - Anne Warlaumont, UCLA, Los Angeles, USA - Silvia Pagliarini, UCLA, Los Angeles, USA - Michael Spranger, Sony AI and Sony CSL, Tokyo, Japan - Tadahiro Taniguchi, Ritsumeikan University, Kyoto, Japan - Junpei Zhong, South China University of Technology, Guangzhou, China Xavier Hinaut Inria Research Scientist www.xavierhinaut.com <http://www.xavierhinaut.com/> -- +33 5 33 51 48 01 Mnemosyne team, Inria, Bordeaux, France -- https://team.inria.fr/mnemosyne <https://team.inria.fr/mnemosyne> & LaBRI, Bordeaux University -- https://www4.labri.fr/en/formal-methods-and-models <https://www4.labri.fr/en/formal-methods-and-models> & IMN (Neurodegeneratives Diseases Institute) -- http://www.imn-bordeaux.org/en <http://www.imn-bordeaux.org/en> --- Our new release of Reservoir Computing library: https://github.com/reservoirpy/reservoirpy <https://github.com/reservoirpy/reservoirpy>

July 18, 2022

Reminder: Mathematics of Neuroscience Symposium, Crete, Greece, 24-25th September 2022

by Ruairidh McLennan Battleday

Dear All, Just a reminder that there is under a week left to apply to present at the Mathematics of Neuroscience symposium to be held this year in September on Crete, Greece. We have a great list of confirmed speakers and would love to hear from you too. Deadline for submission is the 23rd of July. ------------------ Symposium on the Mathematics of Neuroscience. Crete, Greece, 24-25th September 2022 (www.neuromonster.org) Two decades into the 21st century, can we claim to be any closer to a unified model of the brain? In this exploratory symposium, we invite submissions for short talks and posters presenting general mathematical models of brain function. We give priority to those models that account for brain or behavioural data, or provide simulations to that effect. This year’s theme is life-long learning and discovery. Keynote Speakers Professor Peter Dayan (Director, Department of Computational Neuroscience, Max Planck Institute for Biological Cybernetics, Tübingen) “Learning from scratch: Non-parametric models of task acquisition over the long run” Professor Andrew Adamatzky (Director, Unconventional Computing Laboratory, University of the West of England) “Fungal Brain” Symposium Chairs Professor Dan V. Nicolau (King’s College London) Dr Ruairidh McLennan Battleday (Princeton University) Confirmed Talks Professor Michael Levin (TUFTS) Professor Kobi Kremnitzer (University of Oxford) Professor Marc Howard (Boston University) Professor Kevin Burrage (Queensland University of Technology) Professor Carina Curto (Penn State) Professor Rahul Bhui (MIT) Dr Jonathan Mason (University of Oxford) Dr James Whittington (University of Oxford / Stanford) Dr Ilia Sucholutsky (Princeton University) Dr Sophia Sanborn (UC Berkeley, UC Santa Barbara, University of British Columbia) Dr Christina Merrick (UC San Francisco) Dr Timothy Muller (UCL) Dr Kamila Maria Jóźwik (University of Cambridge) Dr Chris Hillar (Awecom, Inc) Prize Talks Dr Aenne Brielmann (Max Planck Institute, Tübingen) Andrew Ligeralde (Redwood Center for Theoretical Neuroscience, University of California, Berkeley) The symposium will be held virtually or in-person on the island of Crete, Greece from the 24-25th of September 2022 (www.neuromonster.org) Submission is by 250-word abstract before the 23rd July 2022, emailed to the organizers Professor Dan V. Nicolau Jr (dan.nicolau(a)kcl.ac.uk) and Dr Ruairidh M. Battleday (battleday(a)princeton.edu)

July 18, 2022

Two open PhD positions in Theoretical and Applied Neuroscience

by Alberto Mazzoni

Dear all, Two open positions to work with Prof. Silvestro Micera at The Biorobotics Institute of Scuola Superiore Sant'Anna https://www.santannapisa.it/en/institute/biorobotics/bioelectronics-and-bio… The PhDs will focus on brain decoding of hand functions for neuroprosthetic control and computational neuroscience and will take place in the framework of the of the Italian "Theoretical and Applied Neuroscience" PhD program to apply: https://isas.unicam.it/dni/phd-theoretical-and-applied-neuroscience. See you soon! Alberto Mazzoni -- */////////////////////////////////////////////////////* perché quello del populo è più onesto fine che quello de' grandi, volendo questi opprimere, e quello non essere oppresso N.M.

July 18, 2022

ESI SyNC 8-9 Sept. 2022 - The ever-changing brain: Through development and evolution

by Esfandiari, Jahangir

We are happy to announce that the Ernst Strüngmann Institute Systems Neuroscience Conference 2022 -9th ESI SyNC- will take place in-person this year, on September 8th and 9th at the Ernst Strüngmann Institute in Frankfurt, Germany. A hybrid format will be implemented, such that online participation is also possible. This year’s topic is "The ever-changing brain - through development and evolution". Eleven speakers will discuss their research and views on the development, organization, and evolution of the brain from a wide array of viewpoints: from anatomy to function, from the microcircuit to whole-brain network level, from the origins of cognition in single-celled organisms to complex social behavior in primates. This year’s conference is a great platform to learn about comparative neuroscience, organizational and evolutionary aspects of neural processing, and developmental mechanisms of cognitive and sensory systems. Young researchers will have the opportunity to exchange ideas and raise questions in formal and informal discussions. There will also be a poster session for which we welcome submissions. This year's exciting line-up: * Detlev Arendt (European Molecular Biology Laboratory EMBL, Heidelberg, GER<https://www.embl.org/groups/arendt/>) * Rosa Cossart (Inmed, Aix-Marseille University, Marseille, FR<https://www.inmed.fr/en/developpement-des-microcircuits-gabaergiques-cortic…>) * Onur Güntürkün (Ruhr-Universität Bochum, GER<https://www.rd.ruhr-uni-bochum.de/neuro/wiss/sprecher/guentuerkuen.html.en>) * Ileana Hanganu-Opatz (Center for Molecular Neurobiology Hamburg, University Medical Center Hamburg-Eppendorf, GER<http://www.opatzlab.com/ileana-hanganu-opatz/>) * Suzana Herculano-Houzel (Vanderbilt University, Nashville, TE, USA<http://www.suzanaherculanohouzel.com/>) * Marcus Kaiser (University of Nottingham, UK<https://www.dynamic-connectome.org/>) * Pamela Lyon (University of Adelaide, AUS<https://www.adelaide.edu.au/directory/pamela.lyon>) * Rogier Mars (University of Oxford, UK and Donders Institute, Nijmegen, NED<http://www.rbmars.dds.nl/lab/lab.html>) * Rebecca Saxe (Massachusetts Institute of Technology, Cambridge, MA, USA<https://saxelab.mit.edu/>) * Georg Striedter (University of California, Irvine, CA, USA<https://cnlm.uci.edu/striedter/>) * Daniel Takahashi (Federal University of Rio Grande do Norte, Natal, BRA<https://ethogenesis.science/>) The conference will end with a panel discussion hosted by local experts Gilles Laurent and Alison Barker from the Max Planck Institute for Brain Research. Visit our website<https://www.esi-frankfurt.de/newevent/> to register for in-person or online attendance and to see the latest information on the conference. Space for in-person attendance is limited so go ahead and register as soon as possible! Best regards, The organizing committee Alexander Bird Peter Donhauser Jahangir Esfandiari Pascal Fries Christini Katsanevaki David Poeppel Wolf Singer Renata Vajda ----------------------------------------- Jahangir Esfandiari Ph.D. student, Vinck Department Ernst Strüngmann Institute (ESI) gGmbH for Neuroscience in Cooperation with Max Planck Society Deutschordenstraße 46 60528 Frankfurt am Main Germany E-Mail: jahangir.esfandiari(a)esi-frankfurt.de<mailto:cem.uran@esi-frankfurt.de> Internet: www.esi-frankfurt.de<http://www.esi-frankfurt.de/> Registered at Local Court Frankfurt am Main - HRB 84266 CEO: Prof. David Poeppel, PhD -----------------------------------------

July 15, 2022

Call for submissions to the ICDL 2022 workshop on neurodiversity of cognitive feelings

by nagai.yukie＠mail.u-tokyo.ac.jp

Dear colleagues, We are going to organize the following workshop at IEEE International Conference on Development and Learning (ICDL 2022), which will be held in London, UK on September 12-15. We invite submissions of extended abstracts (1-2 pages) of ongoing research that focuses on one or several of our listed topics below. Accepted submission will be considered for symposium talks or as part of a poster session. Workshop on Neurodiversity of Cognitive Feelings https://sites.google.com/view/icdl-cognitive-feeling ICDL 2022 https://icdl2022.qmul.ac.uk [ Theme of the workshop ] From the general conception of our own subjective experiences, and from behavioural and neuroimaging research we know that affective emotional states can influence our cognitive functions. While the existence of this relationship is generally accepted, understanding the neural mechanisms that lead to individual diversity remains an open question that requires continued development of understanding and assessment of individual cognitive abilities. One of the suggested pathways includes the perception of emotional sensations that are experienced towards multisensory perception systems with a cognitive feeling. Cognitive feeling can be described as a sense of confidence, knowing, familiarity, distinguishing reality and fluency of information from multisensory perceptual experiences (Clore and Parrott, 1994; Arango-Muñoz 2014). Where emotional sensations, or affective feelings, are the result of perceived multisensory integration such as liking, disliking, or fear, arousal. Each kind of feeling is then providing information about different system. The affective feeling provides information on whether what is perceived is positive or negative with regards to our expectations. The cognitive feeling is the informational source of our expectations, knowing and understanding the multisensory information. The principles of cognitive feeling can be applied in developmental and cognitive robotics (Asada et al. 2009; Tani 2016), predictive coding theories (Friston & Kiebel 2009; Friston 2010), computational psychiatry (Montague et al. 2012), and behavioural studies through the verification of virtual reality-based approaches. [ Welcomed topics ] Affective Neuroscience Affective Computation Interoception Self-awareness and self-recognition Rubber hand illusion and bodily illusion Sense of agency Sense of presence Psychiatric disorder and developmental disorder Consciousness Brain-body interactions Metacognitive feeling [ Keynote speakers ] • Professor Sarah Garfinkel, Institute of Cognitive Neuroscience, University College London, UK • Dr Sophie Betka, The École polytechnique fédérale de Lausanne (EPFL), Switzerland • Professor Tony Prescott, Department of Computer Science, The University of Sheffield, UK [ Submission ] Extended abstract submission guidelines can be found on the workshop website (https://sites.google.com/view/icdl-cognitive-feeling) which should be sent to Sean D. Lynch (lynch.sean(a)mail.u-tokyo.ac.jp) by August 13, 2022. Please write in the subject line “ICDL 2022 neurodiversity workshop submission”. [ Important dates ] Submission deadline: August 13, 2022 Notification of acceptance: August 27, 2022 Workshop: September 12, 2022 [ Organizers ] Sean Lynch (The University of Tokyo) Keisuke Suzuki (Hokkaido University) Yukie Nagai (The University of Tokyo) — Yukie Nagai, Ph.D. Project Professor, The University of Tokyo nagai.yukie(a)mail.u-tokyo.ac.jp | https://developmental-robotics.jp CREST Cognitive Mirroring: https://cognitive-mirroring.org CREST Cognitive Feeling: https://cognitive-feeling.jp

July 14, 2022

Scientist - Neural Data Analysis at the Allen Institute

by Anton Arkhipov

Dear colleagues, A new exciting opportunity is open at the Allen Institute (Seattle, WA): https://alleninstitute.hrmdirect.com/employment/job-opening.php?req=1937290 Scientist - Neural Data Analysis – Systems Neuroscience We are seeking a Scientist to be an essential team member in our ongoing efforts to link transcriptomically defined cell types with the types of functional neural activity in vivo. We are generating systematic datasets of neural activity using 2-photon calcium imaging in the mouse cortex, followed up by spatial transcriptomics, in order to better understand cell-type-specific contributions to neural coding and circuit dynamics. The core responsibility for this position will be the computational analysis of these datasets, including co-registration between the calcium imaging and spatial transcriptomics data, linking these modalities for individual cells. The ideal candidate will have experience with analysis of imaging data, sensory physiology, machine learning, computer vision, and/or spatial transcriptomics. This position sits at the interface of neuroscience and data science, and good coding and analytical skills are a high priority. The Allen Institute believes that team science significantly benefits from the participation of diverse voices, experiences, and backgrounds. High-quality science can only be produced when it includes different perspectives. We are committed to increasing diversity across every team and encourage people from all backgrounds to apply for this role. Please see details and apply here: https://alleninstitute.hrmdirect.com/employment/job-opening.php?req=1937290 Best regards, Anton. Anton Arkhipov Associate Investigator T: 206.548.8414 E: antona(a)alleninstitute.org<mailto:antona@alleninstitute.org> [Text Description automatically generated] alleninstitute.org<https://alleninstitute.org> brain-map.org

July 11, 2022

TEX2022: Detailed program and registration for online attendance

by Yamil Vidal

Dear all, We are pleased to share the detailed program for "TEX2022: Bringing together Predictive Processes and Statistical Learning": https://indico.sissa.it/event/59/timetable/#20220719.detailed <https://t.co/tgo3hNEOFF> Registration deadline is this Sunday, 10/7. Come join us! And if you cannot join us in person, you can still join us online (and free of charge). To attend online, please register here: https://sissa-it.zoom.us/webinar/register/WN_0qgRUCodT02MLGmmiQ4tiA Looking forward to meet you all, Yamil Vidal and Davide Crepaldi Dr. Yamil Vidal Predictive Brain Lab Centre for Cognitive Neuroimaging - Donders Institute Nijmegen the Netherlands

July 8, 2022

UCL NeuroAI Annual Meeting on Monday, July 11, 1-5 pm BST

by Harsha Gurnani

The third *UCL NeuroAI Annual Meeting* will be held in *hybrid forma*t on *Monday, July 11, 2022*. The annual half-day UCL NeuroAI <https://www.ucl.ac.uk/research/domains/neuroscience/ucl-neuroai>event features speakers working across the spectrum of machine learning to neuroscience and aims to foster further collaboration and discussion. Join us from *1-5 pm BST* for an exciting set of talks and discussion on goals and prospects for NeuroAI. *Registration is free but needed for access to final details: * https://www.eventbrite.com/e/ucl-neuroai-annual-meeting-tickets-341731838127 -------------------------------- *Event programme:* 1.00pm – Welcome *1.05pm – 2.35pm – Session one* *Kim Stachenfeld (DeepMind) *"Predictions and Relations for Biological and Artificial Reasoning" *Peter Latham (UCL)* Title: TBC *Blake Richards (McGill University)* "Contrastive introspection to rapidly identify contingencies in the environment" *2.35pm - 2.55pm – Comfort break* *2.55pm – 3.55pm – Session two* *Raia Hadsell (DeepMind)* "Embodied AGI and The Future of Robotics" *Panel discussion* *3.55pm - 4.00pm *– Closing remarks -------------------------------- For in-person attendees, the location is Jeremy Bentham Room, Wilkins Building, UCL. Please find links to map and accessibility information on the Eventbrite page <https://www.eventbrite.com/e/ucl-neuroai-annual-meeting-tickets-341731838127> . We look forward to seeing you - in person or online! *Co-organizers:* Caswell Barry, Will De Cothi, Asaph Zylbertal, Padraig Gleeson, Harsha Gurnani (University College London), Sebastian Lee (Sainsbury Wellcome Centre and Imperial College London)

July 5, 2022

[CFP, Deadline Approaching] MDPI Molecules (IF: 4.927) - Special Issue "Practical Aspects of Molecular Communications"

by Murat Kuşcu

(Apologies if you receive multiple copies of this CFP) MDPI Molecules (IF: 4.927, ISSN: 1420-3049) Special Issue on Practical Aspects of Molecular Communications https://www.mdpi.com/journal/molecules/special_issues/molecular_communicati… --------------------------- CALL FOR PAPERS The Internet of Bio-Nano Things (IoBNT) is an emerging technology that aims to extend our connectivity to nanoscale and biological environments with collaborative nanonetworks of artificial nanomachines and biological entities integrated into the Internet infrastructure. To enable the IoBNT and its groundbreaking applications, such as continuous intrabody health monitoring, it is imperative to devise low-complexity nanoscale communication techniques suitable for the envisioned nanomachines of simple architectures. The most promising communication technology for realizing the IoBNT is Molecular Communications (MC), as it ubiquitously manifests itself in many complex biological systems in the Universe, and thus, stands as one of the most common communication modalities, optimized from many aspects as a result of billions of years of evolutionary advancement. Making use of this naturally existing technology requires understanding its foundations through our existing modeling and analysis tools. This quest, which started almost 15 years ago, has received increasing attention from ICT researchers, which have been overly inspired by conventional electromagnetic communication technologies in their approach to this radically different paradigm. These theoretical approaches, however, have not always come with sufficient physical relevance. Currently, this emerging field has come to a critical turning point, as many researchers have started to report on initial MC experiments following different approaches and using different materials, while consistently pointing out a discrepancy between the obtained experimental results and the past theoretical work. This reveals the need to rethink the previous efforts and come up with new interdisciplinary strategies, thus building practical MC techniques and developing feasible MC system components, experimental testbeds, and prototypes in order to close the gap between theory and practice, and expedite the transfer of this emerging technology to the market. Among the challenges stated above, this Special Issue is particularly focused on the practical aspects of MC. Therefore, we are calling for technical papers that report on new research with the potential to move this field forward towards its practical applications, as well as surveys/tutorials focusing on the practical challenges of MC research. Hence, its scope encompasses a wide range of interdisciplinary research topics, with some examples listed as follows: ** The physical design, modeling, and implementation of MC system components (e.g., transmitter, receiver, channel); ** The design and implementation of MC testbeds; ** Practical and low-complexity MC methods (e.g., modulation, detection, channel estimation, synchronization, coding methods); ** The testing and validation of MC transceiver/channel models and MC methods; ** Applications of microfluidics, biosensors, and nanomaterials for MC system design; ** Bio-cyber interfaces between MC networks and conventional macroscale networks; ** Synthetic biology-based MC transceiver architectures; ** Optimization of ligand-receptor interactions for MC; ** Biocompatibility and co-existence challenges; ** Energy harvesting and power transfer techniques for MC networks; ** The design and demonstration of MC applications (e.g., those in healthcare, agriculture, biocomputing). --------------------------- Deadline for manuscript submissions: *31** July 2022* --------------------------- Guest Editors Murat Kuscu, Koc University, Turkey (mkuscu(a)ku.edu.tr) Sasitharan Balasubramaniam, University of Nebraska-Lincoln, USA ( sasi(a)unl.edu) Kerstin Lenk, Graz University of Technology, Austria (kerstin.lenk(a)tugraz.at ) Ergin Dinc, University of Cambridge, UK (ed502(a)cam.ac.uk) Michael Barros, University of Essex, UK (m.barros(a)essex.ac.uk) Bige D. Unluturk, Michigan State University, USA (unluturk(a)msu.edu) --------------------------- Paper submission Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Manuscripts can be submitted until the deadline. All papers will be peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website. Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Molecules is an international peer-reviewed open access semimonthly journal published by MDPI. Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2300 CHF (Swiss Francs). --------------------------- Additional information: Please visit the MDPI Molecules Special Issue webpage at: https://www.mdpi.com/journal/molecules/special_issues/molecular_communicati… Inquiries can be addressed to Mr. Gavin Fu at: gavin.fu(a)mdpi.com <gavin.fu(a)mdpi.com>, molecules(a)mdpi.com

July 4, 2022

SMILES workshop call for abstracts

by Xavier Hinaut

The SMILES (Sensorimotor Interaction, Language and Embodiment of Symbols) Workshop will take place both on site and virtually at the ICDL 2022 (International Conference on Developmental Learning). * Call for abstracts : - Deadline: July 18th - Abstracts call: from 1/2 page to 2 pages (onsite and virtual participation are possible) - Abstract format: same as ICDL conference https://www.ieee.org/conferences/publishing/templates.html - Submissions: smiles.conf(a)gmail.com + indicate if you will be onsite or online - Workshop dates: September 12, 2022 - Venue onsite: Queen Mary University of London, UK. - Venue online: via Zoom and Discord group. Accepted abstract will be asked to make a short video or poster for the workshop. * Workshop Short Description On the one hand, models of sensorimotor interaction are embodied in the environment and in the interaction with other agents. On the other hand, recent Deep Learning development of Natural Language Processing (NLP) models allow to capture increasing language complexity (e.g. compositional representations, word embedding, long term dependencies). However, those NLP models are disembodied in the sense that they are learned from static datasets of text or speech. How can we bridge the gap from low-level sensorimotor interaction to high-level compositional symbolic communication? The SMILES workshop will address this issue through an interdisciplinary approach involving researchers from (but not limited to): - Sensori-motor learning, - Symbol grounding and symbol emergence, - Emergent communication in multi-agent systems, - Chunking of perceptuo-motor gestures (gestures in a general sense: motor, vocal, ...), - Compositional representations for communication and action sequence, - Hierarchical representations of temporal information, - Language processing and language acquisition in brains and machines, - Models of animal communication, - Understanding composition and temporal processing in neural network models, and - Enaction, active perception, perception-action loop. * More info - contact: smiles.conf(a)gmail.com - organizers: Xavier Hinaut, Clément Moulin-Frier, Silvia Pagliarini, Joni Zhong, Michael Spranger, Tadahiro Taniguchi, Anne Warlaumont. - invited speakers (coming soon) - workshop website (updated regularly): https://sites.google.com/view/smiles-workshop/ - ICDL conference website: https://icdl2022.qmul.ac.uk/ Xavier Hinaut Inria Research Scientist www.xavierhinaut.com <http://www.xavierhinaut.com/> -- +33 5 33 51 48 01 Mnemosyne team, Inria, Bordeaux, France -- https://team.inria.fr/mnemosyne <https://team.inria.fr/mnemosyne> & LaBRI, Bordeaux University -- https://www4.labri.fr/en/formal-methods-and-models <https://www4.labri.fr/en/formal-methods-and-models> & IMN (Neurodegeneratives Diseases Institute) -- http://www.imn-bordeaux.org/en <http://www.imn-bordeaux.org/en> --- Our new release of Reservoir Computing library: https://github.com/reservoirpy/reservoirpy <https://github.com/reservoirpy/reservoirpy>

July 3, 2022

2022 SPARC FAIR Codeathon (prize pool of US$50,000)

by Elisabetta Iavarone

Dear colleagues, we are looking for exciting projects which use SPARC data <https://sparc.science/data?type=dataset> and/or SPARC tools and resources <https://sparc.science/data?type=sparcPartners&developedBySparc=true&skip=0> for the peripheral nervous system in novel ways, particularly in enhancing, demonstrating, or measuring the findability, accessibility, interoperability, or reusability (FAIR) of the data. *Total prize pool of US$50,000* -- including cash prizes and manuscript publication fees. Project selection has begun, but it’s not too late to suggest a novel topic for consideration. The Codeathon will take place virtually, on 6-8 August. You can find more information on the SPARC codeathon page <https://sparc.science/help/2022-sparc-fair-codeathon>. Codeathon projects should result in code, tools, datasets, or other outputs which are open and freely available. Some coding experience is beneficial, but not necessary, as part of the project involves writing exhaustive documentation of your code and the aim of your project. Examples of projects from earlier codeathons are available on GitHub <https://github.com/SPARC-FAIR-Codeathon>, and here <https://docs.google.com/document/d/1OG3I0Oy1HivQNKOipNOZazFYCFVsSSn4Qe_EpSc…> you can find more ideas, such as: - Quantitative Analysis of Image Data - Visualizing experimental protocols - Create a short course on data science using Jupyter Notebook and the SPARC Portal <https://sparc.science/> - Embed o²S²PARC <https://docs.osparc.io/#/> modelling and simulation functionality within the SPARC Portal <https://sparc.science/> Participation in the codeathon is free and you only need access to your own computer and reliable internet connection to work with your team. We are looking forward to receiving your proposals. Best, Elisabetta (on behalf of the organizing committee)

July 1, 2022

Fully-funded PhD and PostDoc position (4 years) in Machine / Deep Learning in Translational Psychiatry, Charité - Universitätsmedizin Berlin, Germany

by Kerstin Ritter

Dear all, we offer one PostDoc position (4 years, 100%) and one PhD position (4 years, 75%) at Charité - Universitätsmedizin (Berlin, Germany) in Machine / Deep Learning in Translational Psychiatry in a newly established Research Unit 5187 "Precision Psychotherapy" (headed by Prof. Ulrike Lüken). Please see the job advertisements below. Please forward to potential candidates. Thanks, and best wishes, Kerstin (Ritter) ______________________________________________________________ Explainable Machine Learning / Deep Learning in Clinical Neuroimaging and Translational Psychiatry 1) PostDoc position (starting date: autumn 2022, 4 years; 100 %) at Charité - Universitätsmedizin (Berlin, Germany) At Charité - Universitätsmedizin Berlin and the Bernstein Center for Computational Neuroscience, we are looking for a motivated and highly qualified PostDoc for methods development at the intersection of explainable machine learning / deep learning and clinical neuroimaging / translational psychiatry. The position will be located in the research groups of Prof. Kerstin Ritter and Prof. John-Dylan Haynes at Charité Berlin. The main task will be to predict response to cognitive-behavioral psychotherapy in retrospective data and a prospective cohort of patients with internalizing disorders including depression and anxiety from a complex, multimodal data set comprising tabular data as well as imaging data (e.g., clinical data, smartphone data, EEG, structural and functional MRI data). An additional task will be to contribute to the organization and maintenance of the prospective cohort. This study will be one of several projects in the newly established Research Unit 5187 "Precision Psychotherapy" (headed by Prof. Ulrike Lüken). Requirements for the Postdoc: - Excellent master and PhD degree in relevant field (e.g. computer science, mathematics, physics, psychology, computational neuroscience or related). - Excellent methodological skills (esp. machine learning, deep learning, explainable AI, medical image analysis) - Excellent programming skills in python - Excellent writing and communication skills (in English) - Strong interest in neuroscientific and psychiatric research 2) PhD position (starting date: autumn 2022, 4 years; 75 %) at Charité - Universitätsmedizin (Berlin, Germany) At Charité - Universitätsmedizin Berlin and the Bernstein Center for Computational Neuroscience, we are looking for a motivated and highly qualified PhD student for analyzing structural and functional MRI data in patients with internalizing disorders (e.g., depression and anxiety) using machine learning methods. An additional task will be the acquisition of fMRI data together with other PhD students in the newly established Research Unit 5187 "Precision Psychotherapy" (headed by Prof. Ulrike Lüken). The PhD student will be supervised by Prof. Kerstin Ritter, Prof. Ulrike Lüken and Prof. Norbert Kathmann. Requirements for the PhD student: - Excellent master in relevant field (e.g. computer science, mathematics, physics, psychology, computational neuroscience or related). - Very good methodological skills (esp. machine learning, deep learning, statistics, neuroimaging) - Very good programming skills in python - Excellent writing and communication skills (in English and German) - Strong interest in neuroscientific and psychiatric research Please send your application (motivation+CV+references) in one pdf-file (in English or German) asap to: Prof. Dr. rer. nat. Kerstin Ritter Charité - Universitätsmedizin Berlin Department of Psychiatry and Psychotherapy Bernstein Center for Computational Neuroscience Sauerbruchweg 4, Charitéplatz 1, 10117 Berlin E-Mail: kerstin.ritter(a)charite.de Webpage: https://psychiatrie-psychotherapie.charite.de/en/research/translation_and_n…

July 1, 2022

NEURON School on basic Computational Neuroscience 12-16 September 2022 ITALY

by Sergio Solinas

**Apologies for cross-posting** [All details about this school can be found online at The NEURON School < https://www.neuronschool.org/>] The organisers are excited to announce the third edition of The NEURON School on Computational Neuroscience. This *one-week* school will introduce the basic use of the simulation environment NEURON and related software to build brain models from experiments to their applications. - The school will provide basic notions on experimental methods to extract and process morphological and electrophysiological data targeting their use to build computational models of single neurons and neuronal networks. - The school will cover how these models can be constructed based on the principles of biological tissue electrophysiology. We welcome applications from full graduate, PhD students, and PostDocs in a variety of fields from biology, neurobiology and psychology, to physics, engineering, and mathematics, and industry professionals with a relevant background. Applicants are expected to have a good background in their discipline, an interest in neuroscience, and some knowledge (even basic) of computer programming. We will soon post updates and a flyer about the school organisation. *Format*: Morning tutorials will be complemented with Afternoon coding sessions and Evening discussions promoted by presentations of Senior Scientists. *Date and Location:* September 12th to September 16st, 2020 at the Pula Research Centre < https://www.sardegnaricerche.it/index.php?xsl=376&s=13&v=9&c=3874&nc=1> within the Science and Technology Park of Sardinia, Cagliari - Sardinia (ITALY). Application Deadline: 15 August 2022 *Applications*: Please visit https://www.neuronschool.org/ where you can find more information regarding costs, travel, and lodging. If you have any questions about the school or the application process, please contact smgsolinas(a)uniss.it or enrico(a)uniss.it We look forward to your registration and to welcoming you to the Pula Research Centre!

June 30, 2022

[JOBS] PhD @ Italian Institute of Technology, Ferrara

by Alessandro D'Ausilio

PHD PROGRAM in TRANSLATIONAL NEUROSCIENCES AND NEUROTECHNOLOGIES The Center for Translational Neurophysiology of Speech and Communication (CTNSC) @ Italian Institute of Technology (IIT), jointly with the University of Ferrara, are opening up to 8 PhD positions starting in November 1st, 2022. Research areas: - Improving performance and biocompatibility of electrode arrays for brain-computer interfaces - Organic neuroelectronics for multimodal recordings and stimulation of the brain in vivo - Hardware and software development for innovative exploration of brain signals - Machine learning applications to multimodal brain and speech signals - Investigation of sensorimotor functions in animal models - Cortical recordings in human patients during awake Neurosurgery - Human non-invasive neurophysiology of speech and sensorimotor communication by means of TMS, EEG, EMG and MoCap Who: physicists, computer scientists, biomedical/electrical engineers, biologists, biotechnologist, medical doctors and experimental psychologists eager to work in an international and multidisciplinary team. Where: The CTNSC (https://www.iit.it/it/ctnsc-unife <https://www.iit.it/it/ctnsc-unife>) is hosted by the University of Ferrara (UNIFE) in a prestigious historical building in the city center. Ferrara is a well connected renaissance city (30-min to Bologna, 40-min to Padua, 60-min to Venice; 2 nearby international airports), bustling with students (https://whc.unesco.org/en/list/733 <https://whc.unesco.org/en/list/733>). General INFO: http://www.unife.it/studenti/dottorato/it/corsi/riforma/neuroscience <http://www.unife.it/studenti/dottorato/it/corsi/riforma/neuroscience> Application INFO: http://www.unife.it/studenti/dottorato/concorsi/selection <http://www.unife.it/studenti/dottorato/concorsi/selection> Application website: https://pica.cineca.it/unife/dottorati-38-ntn/ <https://pica.cineca.it/unife/dottorati-38-ntn/> DEADLINE: July 25rd, 2022

June 30, 2022

Workshop on State of the Art Methods for Brain Data Analysis

by Dimitris Pinotsis

State of the Art Methods for Brain Data Analysis- A workshop for computational, theoretical and cognitive neuroscientists taking place on July 6 at City— Universıty of London This hybrid workshop will discuss the state of the art methods in brain imaging and how they inform our understanding of the neural basis of behaviour and cognition. It will be of interest to computational and cognitive neuroscientists who are keen on brain imaging, computational psychiatry and network-level dynamics. Speakers: - John Ashburner, UCL - Aldo Faisal, Imperial - Gene Fridman, Johns Hopkins - Alan Jasanoff, MIT - Marcus Kaiser, Nottingham - Mark Woolrich, Oxford Hybrid format (f2f and online) July 6th, 2022 09:50 - 17:00 B200 Lecture Theatre, University Building, 2nd Floor, City, University of London Read more here: About | Brain Data Analysis (braindatanalysis.wixsite.com) Registration is free. To register, please fill in this form: . For any questions, please email braindatanalysis(a)gmail.com

June 28, 2022

2022 Western-Fields School in Networks and Neuroscience

by Lyle Muller

Applications are invited for a one-week school at the interface of mathematics and neuroscience. With similar scope as the 2021 joint seminar series<http://www.fields.utoronto.ca/activities/21-22/western-fields>, the Western-Fields Summer School in Networks and Neuroscience<https://uwo.ca/academy/themes/neural_networks/2022_western_fields_school.ht…> will bring together advanced undergraduate students, graduate students, and postdocs for a week of training in methods for networks, dynamics, learning, and modeling biological neural networks. Lectures will cover graph theory, network dynamics, advanced algebra, and machine learning. Students will receive intensive training ranging from an introduction to advanced methods in these fields. This summer school will be held September 19-23 on the campus of Western University (London, Ontario), with a closing session at the Fields Institute (Toronto, Ontario). Applications should consist of CV and one-page statement of interest, submitted as a single PDF file to Lyle Muller (lmuller2(a)uwo.ca<mailto:lmuller2@uwo.ca>) and Ján Mináč (minac(a)uwo.ca<mailto:minac@uwo.ca>). Review of applications will begin on 6 July 2022. Our team is committed to fostering diversity in mathematics and neuroscience, and a goal of this summer school is to encourage diverse candidates with quantitative training to consider problems in this growing field. Any interested applicants can write to the teaching team with questions about the program. -- Lyle Muller http://mullerlab.ca<http://mullerlab.ca/>

June 27, 2022

2022 Western Academy for Advanced Research Postdoctoral Competition

by Lyle Muller

The Western Academy for Advanced Research<https://uwo.ca/academy/index.html> is launching a competition for highly motivated postdoctoral researchers<https://uwo.ca/academy/themes/neural_networks/2022_postdoctoral_competition…> at the interface of mathematical modeling and neuroscience. Successful candidates will join a new, research-intensive program at Western University. The Western Academy’s opening Theme will develop connections between mathematics and neuroscience, leveraging mathematical approaches to answer open questions in neuroscience. Motivated postdoctoral candidates are encouraged to submit application materials, including a CV, short research statement, and contact information for three academic references, to Lyle Muller (lmuller2(a)uwo.ca<mailto:lmuller2@uwo.ca>) and Ján Mináč (minac(a)uwo.ca<mailto:minac@uwo.ca>). Postdocs will receive competitive stipends and support for their academic careers. Review of applications will begin 15 July 2022. Both our group and the University are deeply committed to fostering diversity in the sciences. Applications from underrepresented groups are strongly encouraged, and any interested applicants can write the PIs directly with questions about the research environment. -- Lyle Muller http://mullerlab.ca

June 27, 2022

Fully-funded PhD project on networks in Mark Humphries’ lab, University of Nottingham (Oct 2022 start)

by Mark Humphries

A fully-funded 3.5 year PhD project is available in the Mark Humphries’ lab at the University of Nottingham, UK. Broad classes of network models, like small-world networks and scale-free networks, have taught us much about the world. But we suspect a major class of networks has been missed. This project will introduce and explore a new class of model weighted networks, “divergent” networks, in which the structure described by the links and their weights do not match. Most theoretical work on weighted networks assumes that they do, so little is known about the properties of these divergent networks. We will close that gap by quantifying the existence and extent of divergence in a range of real-world networks, including brain connectomes at both single neuron and inter-area level; by creating generative models for these networks; and by exploring how divergence alters a network’s dynamics across a range of dynamical systems implemented on the nodes, including neural models. The student will be joining the Humphries lab (https://www.humphries-lab.org/) who draw on network theory and dynamical systems approaches to understand neural coding and computations. They will also be co-supervised by Prof Stephen Coombes (School of Maths), an expert in dynamics on networks. Suggested reading: Humphries, M. D., Caballero, J. A.*, Evans, M.*, Maggi, S.* & Singh, A.* (2021) Spectral estimation for detecting low-dimensional structure in networks using arbitrary null models. PLoS ONE, 16(7): e0254057. Enquiries: mark.humphries(a)nottingham.ac.uk<mailto:mark.humphries@nottingham.ac.uk> (send a CV with queries please) Application deadline: July 29th 2022 Further details, and how to apply: https://www.findaphd.com/phds/project/divergent-networks-a-new-class-of-com… Funding information: EPSRC DTP studentship, 3.5 years duration. Start: October 2022 Studentship will pay Home (UK) University tuition fees (minimum £4,596 per year) and a minimum stipend of £16,062 per year for your living costs. International students are welcome to apply, but note the studentship does not cover international tuition fees (currently £26,000 per year). Professor Mark Humphries | Professor of Computational Neuroscience My book "The Spike: An Epic Journey Through the Brain in 2.1 Seconds" is out now in hardback, ebook, and audiobook! https://press.princeton.edu/books/hardcover/9780691195889/the-spike Lab: humphries-lab.org<https://www.humphries-lab.org/> Twitter: @markdhumphries Public blog: https://medium.com/the-spike This message and any attachment are intended solely for the addressee and may contain confidential information. If you have received this message in error, please contact the sender and delete the email and attachment. Any views or opinions expressed by the author of this email do not necessarily reflect the views of the University of Nottingham. Email communications with the University of Nottingham may be monitored where permitted by law.

June 26, 2022

Tutorial and Workshop on Neuron-Glial Interactions at the CNS*2022 (Melbourne, Australia)

by De Pitta, Maurizio

Dear colleagues, Please mark them on your calendar. Share and disseminate into your networks. We are organizing a Tutorial and a Workshop on Computational Methods and Models of Neuron-Glial interactions, at the forthcoming Annual Meeting of the Organization of Computational Neurosciences (CNS*2022), in Melbourne, VIC, Australia. Both events will be in person. ***Tutorial on Models of Neuron-Glial Interactions*** Melbourne Convention and Exposition Center (MCEC) July 16, 2022; 9AM -- 6.15PM Session 1 (morning): Oligodendrocyte modeling Daniel Park, Afroditi Talidou, Jeremie Lefebvre (University of Ottawa, Canada) Session 2 (morning): Astrocytic Calcium modeling Hugues Berry (INRIA Lyon, France) Session 3 (afternoon): Tripartite synapses and neuron-glial networks Maurizio De Pitta (Krembil Research Institute, Canada) Session 4 (afternoon): Ionostasis at the tripartite synapses Marinus Toman, Liam McDaid (University of Ulster, Northern Ireland, UK) Please visit the Tutorial Website for more info: https://sites.google.com/view/cns2022-tutorial-on-modeling-n/home ***Workshop on Emerging Perspectives and Models on Neuron-Glial Interactions*** Melbourne Convention and Exposition Center (MCEC) July 19, 2022; 2PM -- 6PM July 20, 2022; 8:30AM -- 7:30PM Day 1: Hugues Berry, INRIA Lyon, France Corrado Cali, University of Turin, Italy David Gonsalvez, Monash University, Australia Leonid Savtchenko, University College London, The United Kingdom Tanya Tchumatchenko, University of Mainz Medical Center, Germany Day 2: Maurizio De Pittà, Krembil Research Institute, Canada Adi Doron, The Hebrew University of Jerusalem, Israel Jeremie Lefebvre, University of Ottawa, Canada Liam McDaid, Ulster University, Northern Ireland, The United Kingdom Ciaran Murphy-Royal, Université de Montréal, Canada Marlene Hao, The University of Melbourne, Australia Daniela Pietrobon, University of Padua, Italy Christine R. Rose, Heinrich Heine University, Germany Annalisa Scimemi, State University of New York at Albany, USA Please visit the Workshop Website for more info: https://sites.google.com/view/cns22-ngi-iworkshop/home To attend the Tutorial and the Workshop, Registration through the CNS*2022 is required: https://www.cnsorg.org/cns-2022-registration-fees We are looking forward to seeing you in Melbourne. Thank you for your consideration. Maurizio ----- Maurizio DE PITTA Principal Investigator Neuron-Glia Interactions Lab (NGILab) Krembil Research Institute, 4KD-509 60 Leonard Ave, Toronto, ON M5T 0S8, CA +1.416.603.5800 ext. 3290 This e-mail may contain confidential and/or privileged information for the sole use of the intended recipient. Any review or distribution by anyone other than the person for whom it was originally intended is strictly prohibited. If you have received this e-mail in error, please contact the sender and delete all copies. Opinions, conclusions or other information contained in this e-mail may not be that of the organization. If you feel you have received an email from UHN of a commercial nature and would like to be removed from the sender's mailing list please do one of the following: (1) Follow any unsubscribe process the sender has included in their email (2) Where no unsubscribe process has been included, reply to the sender and type "unsubscribe" in the subject line. If you require additional information please go to our UHN Newsletters and Mailing Lists page. Please note that we are unable to automatically unsubscribe individuals from all UHN mailing lists. Patient Consent for Email: UHN patients may provide their consent to communicate with UHN about their care using email. All electronic communication carries some risk. Please visit our website here<https://www.uhn.ca/PatientsFamilies/Patient_Safety_Advocacy/Privacy/Documen…> to learn about the risks of electronic communication and how to protect your privacy. You may withdraw your consent to receive emails from UHN at any time. Please contact your care provider, if you do not wish to receive emails from UHN.

June 24, 2022

Reminder: Free online CNS*2022 satellite tutorials: June 27--July 1

by Ankur Sinha

Dear all, Apologies for the cross-posts. A final reminder of next week's CNS*2022 free online satellite tutorials (from June 27--July 1): https://ocns.github.io/SoftwareWG/pages/software-wg-satellite-tutorials-at-… Free registration remains open at: https://framaforms.org/incfocns-software-wg-cns2022-satellite-tutorials-reg… To prevent spam/zoom crashing, links to zoom meetings for the tutorial sessions will be limited to registrants only. Therefore, while registration is free, it is required. The satellite tutorials feature sessions on: - Arbor - Brian2 - Introduction to containers - EBRAINS - GeNN - Keras/TensorFlow - LFPy - MOOSE - Neo + Elephant - NEST - NetPyNE - NeuroLib - NeuroML - NEURON - OSBv2 - RateML Please spread the word, and we look forward to seeing you there! -- Thanks, Regards, Ankur Sinha (He / Him / His) | https://ankursinha.in Research Fellow at the Silver Lab, University College London | http://silverlab.org/ Free/Open source community volunteer at the NeuroFedora project | https://neuro.fedoraproject.org Time zone: Europe/London

June 23, 2022

Research assistant position in systems neuroscience (sleep and memory). Florida, USA

by Carmen Varela

Hi, We have an opening for a research assistant in the laboratory of Dr. Carmen Varela (Psychology Department, Florida Atlantic University; https://www.varelalab.org/) to investigate sleep oscillations that correlate with memory consolidation and sleep quality. Sleep disruption is a common symptom of neurodegenerative and mental disorders and is thought to be linked to their progression. Thalamocortical activity during sleep is critical for the contribution of sleep to memory consolidation, but it is not clear what oscillatory and cellular activity patterns relate to sleep quality and memory consolidation. The candidate will assist with administrative and scientific aspects of this project, using rats to investigate the patterns of thalamic activity that promote healthy sleep function and memory consolidation. More generally, the lab uses state-of-the-art techniques to investigate the neural network mechanisms of cognitive behavior, with a focus on learning and memory and on the role of the neuronal circuits formed by the thalamus. *Keywords*: behaving rodent extracellular electrophysiology, sleep oscillations, learning and memory. Start date September 2022 (some flexibility). **** Requirements **** Interested candidates please send your curriculum and a brief description of your research interests to carmenv.work(a)gmail.com We are looking for team-oriented candidates, ideally with prior experience in rodent behavior. Candidates selected for an interview will be asked to provide contact information for two references. **** What you get **** · Work on exciting and impactful projects to understand the contribution of thalamic activity to sleep and memory. · Develop research skills using state-of-the-art systems neuroscience methods in rodents. · Mentorship, supportive lab environment, in a rapidly growing neuroscience campus. *Location**:* The Varela laboratory is located in FAU’s Jupiter campus, a rapidly growing neuroscience hub, which also hosts our partners the Max Planck Florida Institute for Neuroscience and Scripps Research Institute. FAU is an equal opportunity/affirmative action institution and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability status, protected veterans’ status or any other characteristic protected by law. Best, Carmen Varela, Ph.D. Assistant Professor Psychology Department Florida Atlantic University MC-19, room 106 Jupiter, FL 33458

June 23, 2022

Registration for the Bernstein Conference now open

by Bernstein Communication

*** Apologies for cross-posting *** Dear colleagues, the registration for the Bernstein Conference 2022 (Sept 13-16, 2022) is now open. Register before July 24, 2022 to benefit from the Early Bird rate. Members of the Bernstein Network receive an additional discount. Register here: https://bit.ly/BC22_reg To foster the delightfully high participation of young scientists, we have travel grants available for students, doctoral candidates and Postdoc members of the Bernstein Network: Learn more here: https://bit.ly/BC_TravelGrants -- Each year the Bernstein Network invites the international computational neuroscience community to the annual Bernstein Conference for intensive scientific exchange. It has established itself as one of the most renown conferences worldwide in this field, attracting students, postdocs and PIs from around the world to meet and discuss new scientific discoveries. In 2022, the Bernstein Conference will take place as in-person meeting again in Berlin. Talks of the Main Conference are going to be livestreamed, given speakers consent. Find more information at https://bernstein-network.de/en/bernstein-conference/ ____ IMPORTANT DATES * Bernstein Conference: September 13 - 16, 2022 * Deadline for abstract submission: July 18, 2022 * Early Bird registration: July 24, 2022 * Late registration: August 28, 2022 * Onsite registration possible ____ ABSTRACTS We invite the computational neuroscience community to submit their abstracts: Submitted abstracts can either be considered as contributed talks or posters. All accepted abstracts will be published online and will be citable via Digital Object Identifiers (DOI). Further information can be found here: https://bit.ly/BC_submission ____ INVITED SPEAKERS Keynote Sonja Hofer (University College London, UK) Invited Talks Bing Brunton (University of Washington, USA) Christine Constantinople (New York University, USA) Carina Curto (Pennsylvania State University, USA) Liset M de la Prida (Instituto Cajal, Spain) Juan Alvaro Gallego (Imperial College London, UK) Mehrdad Jazayeri (Massachusetts Institute of Technology, USA) Gaby Maimon (The Rockefeller University, New York, USA) Andrew Saxe (University College London, UK) Henning Sprekeler (Technische Universität Berlin, Germany) Carsen Stringer (Janelia Research Campus, USA) ____ CONFERENCE COMMITTEE Raoul-Martin Memmesheimer (Conference Chair) Christian Machens (Program Chair) Tatjana Tchumatchenko (Program Vice Chair) Moritz Helias (Workshop Chair) Anna Levina (Workshop Vice Chair) & Megan Carey, Brent Doiron, Tatiana Engel, Ann Hermundstad, Christian Leibold, Timothy O'Leary, Srdjan Ostojic, Cristina Savin, Mark van Rossum, Friedemann Zenke. ____ For any further questions, please contact: bernstein.conference(a)fz-juelich.de ------------------------------------------------------------------------------------------------ ------------------------------------------------------------------------------------------------ Forschungszentrum Juelich GmbH 52425 Juelich Sitz der Gesellschaft: Juelich Eingetragen im Handelsregister des Amtsgerichts Dueren Nr. HR B 3498 Vorsitzender des Aufsichtsrats: MinDir Volker Rieke Geschaeftsfuehrung: Prof. Dr.-Ing. Wolfgang Marquardt (Vorsitzender), Karsten Beneke (stellv. Vorsitzender), Prof. Dr. Astrid Lambrecht, Prof. Dr. Frauke Melchior ------------------------------------------------------------------------------------------------ ------------------------------------------------------------------------------------------------ Neugierige sind herzlich willkommen am Sonntag, den 21. August 2022, von 10:00 bis 17:00 Uhr. Mehr unter: https://www.tagderneugier.de

June 23, 2022

EITN School in Computational Neuroscience (Fall 2022, Paris): application extended to 30 June

by Zélie Tournoud

Dear everyone, I am pleased to share that application period to EITN School in Computational Neuroscience has been extended by one week, and will now run until 30 June 2022. This training is taking place from 21 to 30 September 2022 in Paris, France. Application (CV + Motivation letter) are to be sent at eitn(a)neuro-psi.fr . More information below. Thank you and have an excellent day, *Zélie Tournoud*/// EITN Communication manager/ *European Institute for Theoretical Neuroscience (EITN)* UMR 9197 – *NeuroPSI*(Institut des Neurosciences Paris-Saclay) CNRS – Université Paris-Saclay Centre CEA Paris-Saclay Bâtiment 151 91400 Saclay https://www.eitn.org <https://www.eitn.org> __________ * * EITN School in Computational Neuroscience, 2022 session EITN School in Computational Neuroscience is an intensive computational neuroscience training aimed at neuroscience students and early-career researchers. It is supported by the Human Brain Project and is an oppotunity to learn from researchers from all over Europe. The 2022 edition will take place from *21 to 30 September 2022* in Paris, France. Attendance is selective as seats are limited. *Applications are open until 30 June 2022.* *Information : https://eitnschool2022.sciencesconf.org* Organizers: Sacha Van Albada (Forschungszentrum Jülich), Albert Gidon (Humboldt-Universität zu Berlin), Hermann Cuntz (Frankfurt Institute for Advanced Studies, Ernst Strüngmann Institute), Alain Destexhe (CNRS), Matteo di Volo (Cergy Université), Spase Petkoski (Aix-Marseille Université), Gorka Zamora-Lopez (Universitat Pompeu Fabra). Faculty: Nicolas Brunel Hermann Cuntz Gustavo Deco Alain Destexhe Matteo di Volo Albert Gidon Jennifer Goldman Moritz Helias Viktor Jirsa Maurizio Mattia Spase Petkoski Sacha Van Albada Gorka Zamora-Lopez Damien Depannemaecker Domenico Guarino Jorge Mejias Kirsten Fischer Michael Dick Renan Shimoura András Ecker Athanasia Paputzi Marja-Leena Linne Gaute Einevoll To be completed Who is this training for? * Neuroscience (and related fields) students and related * Post-doctoral/early-career researchers Why join? * 10 days of intensive training in computational neuroscience provided by researchers from all over Europe * Small scale event: get to connect! * A complete program: o Cellular models, and models of brain signals o Circuit models and networks o Mean-field models o Whole-brain models * Hands-on learning schedule based on: o Morning classes and tutorials o Group projects in the afternoon o Free time in the evenings to visit Paris How to apply? This training has a limited capacity of 20 students, therefore a selection will be performed by a scientific organizing committee. Applications are open until 23 June 2022. *Send your application by including a resume (CV) and cover letter (explaining motivations t**o join) by email at **eitn(a)neuro-psi.fr**.* You will receive a confirmation your application has be received within 5 working days or on the day application period closes (whichever comes the soonest). If not, please consider a technical issue and submit your application again. Contact eitn(a)neuro-psi.fr for any question or assistance. Selection criteria include: * Working or studying in neuroscience or related * Experience in python programming would help * Priority is given to PhD students as the primary target of this training, although Master students and post-docs are welcome to apply Practical information: * If selected, registration fee to attend the training is 400€. * If selected, you will need to bring your own laptop with a few pre-installed programs. * The tuition fee includes lunch, coffee, access to conference facilities and internet connection during the course days (Sunday not included). Location: Institut Supérieur Clorivière, 119 Bd Diderot, 75012 Paris.

June 22, 2022

Reminder registration deadline: FENS satellite symposium "Understanding Neural Circuit Evolution" (Jul 7-8, 2022, in Paris and online)

by von Behren, Christina

Dear all, The deadline for registration for the FENS satellite symposium "Understanding Neural Circuit Evolution" to be held in Paris and online on July 7-8 is fast approaching. Registration is free but mandatory, please see below and register by tomorrow, June 23. We are very much looking forward to meeting you in Paris and/or online! FENS satellite symposium "Understanding Neural Circuit Evolution" (July 7-8, 2022, Paris and online) The FENS satellite symposium "Understanding Neural Circuit Evolution" will present exciting lines of research into neural circuit evolution from paleobiology to computational neuroscience and to the molecular and genetic generation of neuro-behavioral diversity. Organized by the German Research Foundation Priority Program "Evolutionary Optimization of Neuronal Processing"<https://www.uni-goettingen.de/de/618311.html>, the symposium is designed to make the full spectrum of progress in neural circuit evolution accessible to a wide neuroscience audience. We aim to build bridges between computational, experimental, and paleobiological research approaches, and to foster integrative studies of neural circuit evolution. On July 7 the event starts with an online poster session. On July 8 there are exciting talks on the program, e.g. by Mitya Chklovskii (Flatiron Institute, New York, USA), Maude Baldwin (MPI Biological Intelligence, Seewiesen, Germany), and Lucia Prieto Godino (Francis Crick Institute, London, UK). The symposium is designed as a hybrid event. Registration will be open until June 23, 2022. For further information on program and registration see https://www.uni-goettingen.de/de/660201.html

June 22, 2022

International Symposium on AI and Brain Science 2022: Registration deadlines June 23 on-site and June 30 online

by Kenji Doya

The registration deadline for the International Symposium on AI and Brain Science 2022 is June 23 for on-site and June 30 for online participation. http://www.brain-ai.jp/symposium2022/ The symposium is held on July 4th and 5th at Okinawa Institute of Science and Technology in a hybrid format as a satellite event for Neuro2022: https://neuro2022.jnss.org/en/ Tentative Program: time in JST=GMT+9 <Monday July 4th> 9:00 Registration 9:40 Opening: Kenji Doya 10:00-12:00 Session 1: AI for Brain Science Maneesh Sahani (Gatsby Unit) Angela Langdon (NIMH) Xiao-Jing Wang (NYU) Terrence Sejnowski (Salk Institute) 12:00-14:00 Lunch and Poster Session 14:00-16:00 Session 2: Biological and robotic motor control Chair: Hiroaki Gomi Tetsuya Ogata (Waseda U) Tom Macpherson (Osaka U) Jun Izawa (Tsukuba U) Rieko Osu (Waseda U) 16:30-18:30 Session 3: Brain-inspired AI Jun Tani (OIST) Masashi Sugiyama (RIKEN AIP) Yutaka Matsuo (U Tokyo) Aida Nematzadeh (DeepMind) <Tuesday July 5th> 10:00-12:00 Session 4: AI, Brain, and Society Ryota Kanai (ARAYA) Yoshua Bengio (U Montreal) Ai Koizumi (Sony CSL) Patricia Churchland (Salk Institute) 12:00-13:00 Lunch and Poster Session 13:00-15:00 Session 5: Natural and artificial consciousness Chair: Naotsugu Tsuchiya Hideaki Shimazaki (Hokkaido U) Keisuke Suzuki (Hokkaido U) Makiko Yamada (QST) Tadahiro Taniguchi (Ritsumeikan U) 15:30-17:30 Session 6: Unifying models of cognition Chair: Tadahiro Taniguchi Misako Komatsu (Tokyo Tech) Karl Friston (UCL) Yuichi Yamashita (NCNP) Matthew Botvinick (DeepMind) 17:30-18:00 General Discussion - Closing Co-organizers: Kenji Doya (Okinawa Institute of Science and Technology) Karl Friston (University College London) Hiroaki Gomi (NTT Communication Science Laboratories) Takao Hensch (The University of Tokyo International Research Center for Neurointelligence) Maneesh Sahani (Gatsby Computational Neuroscience Unit) Masashi Sugiyama (RIKEN Center for Advanced Intelligence Project) Tadahiro Taniguchi (Ritsumeikan University) Naotsugu Tsuchiya (Monash University) Secretariat: Neural Computation Unit, OIST: ncus(a)oist.jp<mailto:ncus@oist.jp> ---- Kenji Doya <doya(a)oist.jp<mailto:doya@oist.jp>> Neural Computation Unit, Okinawa Institute of Science and Technology Graduate University 1919-1 Tancha, Onna, Okinawa 904-0495, Japan Phone: +81-98-966-8594; Fax: +81-98-966-2891 https://groups.oist.jp/ncu

June 21, 2022

how can we improve model discovery?

by McDougal, Robert

For over 25 years, ModelDB (modeldb.yale.edu<http://modeldb.yale.edu>) has provided a model sharing and discovery service for the computational neuroscience community. We’re in the process of revising our website, and we’d like to make sure we address the evolving needs and expectations of the community. Personally, I’m interested in making it easier to do analysis across the collection of models. What about you? Whatever your career stage is, please help ModelDB help you by filling out a brief survey: https://yalesurvey.ca1.qualtrics.com/jfe/form/SV_3EkPlMkOUDV5xgW Thanks for your help, Robert McDougal ModelDB

June 19, 2022

Call for Papers: Mathematics of Neuroscience Symposium, Crete, Greece, 24-25th September 2022

by Ruairidh McLennan Battleday

------------------ Symposium on the Mathematics of Neuroscience. Crete, Greece, 24-25th September 2022 (www.neuromonster.org) Two decades into the 21st century, can we claim to be any closer to a unified model of the brain? In this exploratory symposium, we invite submissions for short talks and posters presenting general mathematical models of brain function. We give priority to those models that account for brain or behavioural data, or provide simulations to that effect. This year’s theme is life-long learning and discovery. Keynote Speakers Professor Peter Dayan (Director, Department of Computational Neuroscience, Max Planck Institute for Biological Cybernetics, Tübingen) “Learning from scratch: Non-parametric models of task acquisition over the long run” Professor Andrew Adamatzky (Director, Unconventional Computing Laboratory, University of the West of England) “Fungal Brain” Symposium Chairs Professor Dan V. Nicolau (King’s College London) Dr Ruairidh McLennan Battleday (Princeton University) Invited Talks Professor Kobi Kremnitzer (University of Oxford) Professor Marc Howard (Boston University) Professor Kevin Burrage (Queensland University of Technology) Professor Rahul Bhui (MIT) Dr Jonathan Mason (University of Oxford) Dr James Whittington (University of Oxford / Stanford) Dr Ilia Sucholutsky (Princeton University) Dr Sophia Sanborn (UC Berkeley, UC Santa Barbara, University of British Columbia) Dr Christina Merrick (UC San Francisco) Dr Timothy Muller (UCL) Prize Talks Dr Aenne Brielmann (Max Planck Institute, Tübingen) Andrew Ligeralde (Redwood Center for Theoretical Neuroscience, University of California, Berkeley) The symposium will be held virtually or in-person on the island of Crete, Greece from the 24-25th of September 2022 (www.neuromonster.org) Submission is by 250-word abstract before the 23rd July 2022, emailed to the organizers Professor Dan V. Nicolau Jr (dan.nicolau(a)kcl.ac.uk) and Dr Ruairidh M. Battleday (battleday(a)princeton.edu) ------------------

June 17, 2022

ASTROTECH PhD Position on Ion diffusion in the Neuron-glial vascular unit @BCAM (Spain) [Immediate hiring]

by Maurizio De Pitta

Dear colleagues, Please share and disseminate into your networks, department, and Institute. The Basque Center for Applied Mathematics (BCAM), located in Bilbao (Spain), is recruiting a Ph.D. student for a 3-year project in Computational Neurobiology within the framework of the H2020 ASTROTECH International Training Network (http://www.astrotechproject.eu/) The student will be based in Bilbao (Spain) and enroll in the Graduate Program in Neuroscience of the Faculty of Medicine of the University of the Basque Country. They will work under my supervision and that of Christophe Bernard (Aix-Marseille University, France). The project revolves around modeling the neuron-glial-vascular unit, focusing on epilepsy and neurodegeneration and emphasizing clinical technologies. This is an excellent opportunity for ambitious and brilliant candidates to gain expertise in the emerging field of computational modeling of neuron-glial interactions in an exceptional international setting. The average annual salary for this position is 28k-30k EUR/yr and comes with benefits and a generous budget for traveling to scientific events related to the project. Hiring is immediate, with a planned starting date of Sep-Oct 2022. Please prompt anyone who could be interested in reaching out to me at this email address or maurizio.depitta(a)uhnresearch.ca. More information about the Ph.D. project, along with eligibility requirements, can be found here: https://euraxess.ec.europa.eu/jobs/800279 Applications must be submitted here: http://www.bcamath.org/en/research/job/phd-position-for-h2020-project-astro… The application deadline is July 15, 2022, at 2 pm CET (UTC+2). Thanks for your consideration. Maurizio ----- Maurizio DE PITTA Scientist, Krembil Research Institute External Scientific Member, Basque Center of Applied Mathematics https://sites.google.com/site/mauriziodepitta/home

June 16, 2022

Community feedback requested: the Neo object model

by INCF

*Call for community feedback on the Neo object model for electrophysiology and optophysiology data - open until August 14, 2022* INCF is taking a leading role in endorsing and promoting standards and best practices (SBPs) for global neuroscience <https://link.springer.com/article/10.1007/s12021-020-09509-0>, as part of our mission to promote data reuse and reproducibility in brain research. SBP’s are nominated by the community and reviewed by the INCF SBP Committee according to our criteria <https://incf.org/incf-standards-review-criteria-v20> for a FAIR community standard. If they meet our criteria, we put them up for 60 days of community review to gauge the level of user support and to identify possibilities for improvement and potential weaknesses. For the next 60 days (Closing date: August 14, 2022), we are seeking community feedback on whether we should endorse the Neo object model <https://www.incf.org/sbp/neo> as a standard. Neo <https://www.incf.org/sbp/neo> is an object model for handling electrophysiology data in multiple formats. It is suitable for representing data acquired from electroencephalographic, intracellular, or extracellular recordings, or generated from simulations. Neo has been implemented as a Python package for working with electrophysiology data, together with support for reading a wide range of neurophysiology file formats (including Spike2, NeuroExplorer, AlphaOmega, Axon, Blackrock, Plexon, Tdt, Igor Pro), and support for writing to a subset of these formats plus non-proprietary formats including Kwik and HDF5. Should Neo be endorsed as a standard? Comments open until Aug 14: f1000research.com/documents/11-658 Read more about Neo: Project page <https://neuralensemble.org/neo/> Documentation <https://neo.readthedocs.io/en/stable/> Github <https://github.com/NeuralEnsemble/python-neo> Paper <https://www.frontiersin.org/articles/10.3389/fninf.2014.00010/full>

June 16, 2022

Last Call: Abstract submission for the Bernstein Conference

by Bernstein Communication

**Apologies for cross-posting** Dear colleagues, The deadline to submit abstracts to be considered as contributed talks at the Bernstein Conference is tomorrow, June 15. Abstract drafts created until tomorrow can be finalized until Sunday, June 19. Submit your abstract here: https://bit.ly/BC_submission Each year the Bernstein Network invites the international computational neuroscience community to the annual Bernstein Conference for intensive scientific exchange. It has established itself as one of the most renown conferences worldwide in this field, attracting students, postdocs and PIs from around the world to meet and discuss new scientific discoveries. In 2022, the Bernstein Conference will take place as in-person meeting again in Berlin. Talks of the Main Conference are going to be livestreamed, given speakers consent. Find more information at https://bernstein-network.de/bernstein-conference/ ____ IMPORTANT DATES * Bernstein Conference: September 13 - 16, 2022 * Deadline for submission of abstracts to be considered for Contributed Talks: June 15, 2022 * Deadline for abstract submission: July 18, 2022 ____ ABSTRACTS We invite the computational neuroscience community to submit their abstracts: Submitted abstracts can either be considered as contributed talks or posters. All accepted abstracts will be published online and will be citable via Digital Object Identifiers (DOI). Further information can be found here: https://bit.ly/BC_submission ____ INVITED SPEAKERS Keynote Sonja Hofer (University College London, UK) Invited Talks Bing Brunton (University of Washington, USA) Christine Constantinople (New York University, USA) Carina Curto (Pennsylvania State University, USA) Liset M de la Prida (Instituto Cajal, Spain) Juan Alvaro Gallego (Imperial College London, UK) Mehrdad Jazayeri (Massachusetts Institute of Technology, USA) Gaby Maimon (The Rockefeller University, New York, USA) Andrew Saxe (University College London, UK) Henning Sprekeler (Technische Universität Berlin, Germany) Carsen Stringer (Janelia Research Campus, USA) ____ CONFERENCE COMMITTEE Raoul-Martin Memmesheimer (Conference Chair) Christian Machens (Program Chair) Tatjana Tchumatchenko (Program Vice Chair) Moritz Helias (Workshop Chair) Anna Levina (Workshop Vice Chair) & Megan Carey, Brent Doiron, Tatiana Engel, Ann Hermundstad, Christian Leibold, Timothy O'Leary, Srdjan Ostojic, Cristina Savin, Mark van Rossum, Friedemann Zenke. ____ For any further questions, please contact: bernstein.conference(a)fz-juelich.de ------------------------------------------------------------------------------------------------ ------------------------------------------------------------------------------------------------ Forschungszentrum Juelich GmbH 52425 Juelich Sitz der Gesellschaft: Juelich Eingetragen im Handelsregister des Amtsgerichts Dueren Nr. HR B 3498 Vorsitzender des Aufsichtsrats: MinDir Volker Rieke Geschaeftsfuehrung: Prof. Dr.-Ing. Wolfgang Marquardt (Vorsitzender), Karsten Beneke (stellv. Vorsitzender), Prof. Dr. Astrid Lambrecht, Prof. Dr. Frauke Melchior ------------------------------------------------------------------------------------------------ ------------------------------------------------------------------------------------------------ Neugierige sind herzlich willkommen am Sonntag, den 21. August 2022, von 10:00 bis 17:00 Uhr. Mehr unter: https://www.tagderneugier.de

June 14, 2022

State of the Art Methods for Brain Data Analysis

by Dimitris Pinotsis

State of the Art Methods for Brain Data Analysis- A workshop for computational, theoretical and cognitive neuroscientists taking place on July 6 at City— Universıty of London.versıty of London. . This hybrid workshop will discuss the state of the art methods in brain imaging and how they inform our understanding of the neural basis of behaviour and cognition. It will be of interest to computational and cognitive neuroscientists who are keen on brain imaging, computational psychiatry and network-level dynamics. Registration is free. To register, please fill in this form. For any questions, please email braindatanalysis(a)gmail.com Further details: This hybrid workshop will discuss the state of the art methods in brain imaging and how they inform our understanding of the neural basis of behaviour and cognition. It will review techniques that allow us to access large-scale brain networks, based on deep neural networks, dynamical systems and probabilistic inference. It will also provide updates about how recent developments allow us to map and modulate brain activity and understand how information processing breaks down in disease.

June 14, 2022

PhD and postdoctoral positions at the Technical University of Munich

by Gjorgjieva, Julijana

We invite applications for PhD and postdoctoral positions at the Computation in Neural Circuits group led by Prof. Julijana Gjorgjieva at the Technical University of Munich in Germany. Using mathematical and computational approaches, we study how neurons and the synaptic connections between them tune their properties during early development and young life to ensure appropriate network dynamics and behavior. Another interest relates to how adult function and behavior emerge from a diversity of mechanisms, including synaptic plasticity, sensory noise, and biophysical constraints. We address these questions at different spatial scales, from the organization of individual synaptic inputs on dendrites to large-scale networks of higher order cortex. We are especially interested in these processes during development before and shortly after birth when the brain is highly plastic, but general aspects of learning and memory, especially under naturalistic stimuli and behaviors are also of interest. We collaborate with different experimental research groups in the US, UK, Netherlands, Spain and Germany and benefit from interactions with the strong neuroscience community in Munich, including the SyNergy Cluster of Excellence. Our applications range across animals from rodent to Drosophila to reptiles and humans. Successful applicants can choose from a range of projects including theoretical model development and analytical calculations, numerical simulations, and applications to rich datasets from collaborating labs. Open topics include: - Formation and co-organization of excitatory and inhibitory synaptic inputs on dendrites, including dendritic growth, receptive field formation and alignment, and emergence of tuning. - Development of biophysical models of synaptic plasticity at the cellular and subcellular levels and investigation of their functional consequences. - Reliable top-down modulation of network dynamics during synaptic plasticity, including interactions between different information streams. - Mechanistic dissection of cortical computations driven by different cell types, especially interneurons. - Modeling network attractor states of resilience, and synaptic and homeostatic plasticity processes to rebalance network states after perturbation. Please check our website for recent publications: https://www1.ls.tum.de/compneuro/publications/ Applicants should have a strong quantitative background (in mathematics, physics, engineering, computer science, or related fields) and excellent programming skills (Julia, Python, Matlab or C/C++). The positions can start at any time. For more information or an informal discussion, email me at gjorgjieva(a)tum.de<mailto:gjorgjieva@tum.de>. To apply for these positions, please email the following: 1. A curriculum vitae 2. A description of research interests, including a motivation for why you chose to apply to our group 3. A writing sample, either a paper or code 4. Contact details for 2-3 referees 5. Transcripts (if applying for a PhD position) ----------------------------------------- Julijana Gjorgjieva, PhD Associate Professor of Computational Neuroscience Technical University of Munich Maximus-von-Imhof-Forum 3 85354 Freising, Germany Research Group Leader Max Planck Institute for Brain Research Frankfurt, Germany office: +49 8161 71 2709 https://www1.ls.tum.de/compneuro

June 14, 2022

invitation to join an open collaborative comp neuro research project

by Goodman, Daniel F M

Hi everyone, We have started a new collaborative, open comp neuro research project (in the spirit of the Polymath project<https://en.wikipedia.org/wiki/Polymath_Project> that was a huge success in mathematics). Everyone is invited to participate, and anyone who does contribute will get to be an author. Some details below, but you can just jump straight in to the website and take a look here: https://comob-project.github.io/snn-sound-localization/ The idea is to experiment with doing science in the spirit of collaboration rather than competition. We've set up an initial research topic and some code/results, and then you choose what direction you want to take, get feedback from others and give feedback to them on their ideas. We have an infrastructure that makes all contributions appear automatically on the website. We're running a discussion group, and planning local workshops. The first one of those will be in Paris on July 8th, just before FENS. This project grew out of my Cosyne tutorial<https://neural-reckoning.github.io/cosyne-tutorial-2022/> on using machine learning methods with spiking neural networks (surrogate gradient descent). It's a relatively easy topic to get into and a lot of low hanging fruit to pick, so hopefully ideal for this approach. If you watch the tutorial video and run the notebooks, you're already at the boundary of new research. Contributing is super easy. Go to our GitHub repo, open it up and start running the code on Google Colab (one click, no local installation required). Use one of the existing notebooks to start your own, commit the changes (via pull request for the first one), and your notebook automatically appears on the website. Detailed instructions on the website<https://comob-project.github.io/snn-sound-localization/Contributing.html>. Thanks, and hope to see your contributions and discussion soon! Dan Goodman<http://neural-reckoning.org/> Tomas Fiers<https://tomasfiers.net/> Marcus Ghosh<https://neural-reckoning.org/marcus_ghosh.html> Rory Byrne<https://twitter.com/ryrobyrne>

June 13, 2022

08 July 22 FENS satellite event: 'EBRAINS Research Infrastructure Symposium'

by Zélie Tournoud

Dear everyone, Please find below the announcement of EBRAINS FENS Satellite event 'EBRAINS Research Infrastructure Symposium: addressing grand challenges in brain research'. In between sessions, it will be possible to visit the EBRAINS showroom with hands-on demonstrations of the platform co-organized by EITN. Registration is free but mandatory to attend, see information below. Have an excellent day, *Zélie Tournoud*/ EITN Communication manager/ *European Institute for Theoretical Neuroscience (EITN)* UMR 9197 –*NeuroPSI*(Institut des Neurosciences Paris-Saclay) CNRS – Université Paris-Saclay Centre CEA Paris-Saclay Bâtiment 151 91400 Saclay https://www.eitn.org <https://www.eitn.org/> _____ EBRAINS is organising a satellite event at the FENS Forum 2022 on 8 July from 8:30 – 17:30 CEST. The EBRAINS FENS satellite event, 'EBRAINS Research Infrastructure Symposium: addressing grand challenges in brain research', aims to bring together experimental, clinical and computational neuroscientists. The programme is structured to highlight the bridges between basic and clinical neuroscience and computational neuroscience. It will be structured therefore around four sessions on why, what, how and where to integrate multi-resolution and multi-scale data for neuroscience research. The seminar will be held on July, 8 at INSPE, rue Molitor in Paris (https://www.inspe-paris.fr/visite-virtuelle) Programme: • 08:30 Get-together: Coffee and mingling • 09:00 INTRODUCTION • 09:20 SESSION 1: What are the grand challenges in basic and human neuroscience that currently hamper reproducible the integrating multiscale, multilevel data in a new data infrastructure with tools allowing researchers to use these data. • 10:30 Coffee & posters, EBRAINS showroom • 11:00 SESSION 2: The solutions implemented in EBRAINS Research Infrastructure • 12:30 LUNCH & posters, EBRAINS showroom • 13:30 SESSION 3: Success stories from experimentalists, clinicians, modelers: neuroscience research examples empowered by EBRAINS • 15:15 Coffee & posters, EBRAINS showroom • 16:00 SESSION 4: Perspectives and future • 17:00 – 18:00 ROUND TABLE and summary Registration: Registration is free but mandatory. Register here: https://ebrains.eu/fens-satellite-event/

June 13, 2022

“TEX2022: Bringing together Predictive Processes and Statistical Learning” Abstract submission deadline extended

by Yamil Vidal

Dear all, The abstract submission deadline for “TEX2022: Bringing together Predictive Processes and Statistical Learning” has been extended to the 19th of June!! We welcome the submission of abstracts presenting work in the fields of Predictive Processes and Statistical Learning. Work at the interception of these two fields will be particularly appreciated. The results of the evaluation procedure will be announced on the 27th of June. All presentations will be done in person. Presenters of accepted abstracts will be required to register to the event no later than 10th of July. As the event is limited to 100 attendees, we recommend to register early in order to secure a spot. Invited Speakers: - Maria Chait - Lori Holt - Floris de Lange - Clare Press - Lucia Melloni - Ram Frost - Nicola Molinaro - Caspar Schwiedrzik Scientific Committee: - Alejandro Blenkmann - Louisa Bogaerts - Fabienne Chetail - Abhishek Banerjee - Emma Holmes - Dezső Németh You can find more information at the event’s website: https://indico.sissa.it/e/TEX2022 If you are active on Twitter, please consider retweeting the event’s announcement: https://twitter.com/CrepaldiLab/status/1536292945275629568 We look forward to welcoming you to Trieste this summer! With best regards, Yamil Vidal and Davide Crepaldi Dr. Yamil Vidal Predictive Brain Lab Centre for Cognitive Neuroimaging - Donders Institute Nijmegen the Netherlands

June 13, 2022

Open PhD position in mathematical/computational modeling of endocannabinoid-mediated synaptic plasticity

by Hugues Berry

Dear colleagues, A PhD position is open in my team at Inria Lyon, France on the modelling of endocannabinoid-mediated synaptic plasticity and its implication in fast learning. The research is a collaboration with the Venance Lab, Centre Interdisciplinaire de Recherche en Biology, Collège de France, Paris. We are looking for a highly motivated candidate with a background in mathematical modelling, dynamical systems, computational neuroscience or computational systems biology and a solid appetite for interactions with experimental neuroscience data. The starting date must be between September and November 2022. More information can be found here: http://www.inrialpes.fr/Berry/Images/PhD_Proposal_2022.pdf Contact me directly for applications. Best regards, Hugues BERRY ------------------------ Deputy scientific director of Inria for digital health and biology Inria Batiment CEI-2 56 Blvd Niels Bohr CS 52132 69603 Villeurbanne cedex France Tel. (Office): +33 (0)4 72 43 75 01 Tel. (Mobile): + 33 (0)6 70 77 63 39 www.inrialpes.fr/Berry hugues.berry(a)inria.fr

June 10, 2022

FENS satellite symposium "Understanding Neural Circuit Evolution" (Jul 7-8, 2022, in Paris and online)

by von Behren, Christina

Dear all, We are happy to announce our FENS satellite symposium "Understanding Neural Circuit Evolution" which will be taking place July 7-8, 2022, in Paris and online. Registration for attending in person or remotely is open until June 23, 2022. The FENS satellite symposium "Understanding Neural Circuit Evolution" will present exciting lines of research into neural circuit evolution from paleobiology to computational neuroscience and to the molecular and genetic generation of neuro-behavioral diversity. Organized by the German Research Foundation Priority Program "Evolutionary Optimization of Neuronal Processing"<https://www.uni-goettingen.de/de/618311.html>, the symposium is designed to make the full spectrum of progress in neural circuit evolution accessible to a wide neuroscience audience. We aim to build bridges between computational, experimental, and paleobiological research approaches, and to foster integrative studies of neural circuit evolution. On July 7 the event starts with an online poster session. On July 8 there are exciting talks on the program, e.g. by Mitya Chklovskii (Flatiron Institute, New York, USA), Maude Baldwin (MPI Biological Intelligence, Seewiesen, Germany), and Lucia Prieto Godino (Francis Crick Institute, London, UK). The symposium is designed as a hybrid event. Registration will be open until June 23, 2022. For further information on program and registration see https://www.uni-goettingen.de/de/660201.html We are very much looking forward to meeting you in Paris (or on the internet). **************** Dr. Britta Korkowsky Coordinator Goettingen Campus Institute for Dynamics of Biological Networks (CIDBN) Bernstein Center for Computational Neuroscience Goettingen Graduate Program in Theoretical and Computational Neuroscience SPP 2205 Evolutionary Optimization of Neuronal Processing University of Goettingen Heinrich-Düker-Weg 12 37073 Göttingen Tel.: +49-551-39-26675

June 10, 2022

Workshop on Trustworthy Artificial Intelligence (CFP)

by Frédéric Jurie

================================================================== Call for Papers: Workshop on Trustworthy Artificial Intelligence, as a part of the ECML/PKDD 22 program. ================================================================== Held in conjunction with ECMLPKDD (https://2022.ecmlpkdd.org/) Website: https://trustworthy-ai-22.sciencesconf.org/ Extended Abstract submission deadline: June 20, 2022 Author notification: July 13, 2022 Camera-ready submission: September 2, 2022 The site will start accepting submissions on May 1, 2022. Workshop date: September 19, 2022 (morning) Location: Grenoble (France), on site workshop with remote connections available About: This workshop will conduct a reflection on the methods and principles allowing the integration of artificial intelligence in critical products and services in a safe, reliable and secure way. Particular attention will be paid to methods for the engineering of innovative industrial products and services integrating AI, the large-scale deployment of industrial systems, as integrating AI is a crucial issue for industrial competitiveness. The scientific challenges include, as example, the construction of AI components with controlled confidence, the construction of data/knowledge to increase trustworthiness in learning or the interaction generating confidence between the user and the AI-based system. Authors are invited to submit their original work in this field and thus contribute to the reflections that will be conducted. The workshop will include oral and poster presentations and will leave a lot of room for exchange and discussion between participants. Topics: - AI based Critical Systems, - Auditability & Accountability, - Explainability and quantitative evaluation of Explainable AI methods, - Non-discrimination & Fairness, - Operational Domain Definition with AI, - Out of Distribution Detection, - Safety & Robustness, - Social Acceptance of Trustworthy AI Systems - System Monitoring, - Trustworthy AI - Trustworthy Human-Computer Interactions Program Committee: - Christine Balagué, Institut Mines Télécom, Palaiseau, France - Bertrand Braunschweig, IRT System X, Palaiseau, France (Workshop Chair) - Elisa Fromont, Univ. Rennes, IUF, Inria, CNRS, IRISA, Rennes, France - Fosca Gianotti, Information Science and Technology Institute “A. Faedo” of the National Research Council, Pisa, Italy - Frédéric Jurie, IRT System X, Palaiseau, France (Workshop Chair) - Foutse Khomh, Polytechnique Montréal, Canada - Clodéric Mars, AI Redefined, Montréal, Canada - Matthias Jakobs, TU Dortmund, Germany - Claire Pagetti, Onera, Toulouse, France - Wojciech Samek, Department of Artificial Intelligence and the Explainable AI Group at Fraunhofer Heinrich Hertz Institute (HHI), Berlin, Germany - Stefan Wrobel, Fraunhofer Institute for Intelligent Analysis andInformation Systems IAIS, Sankt Augustin, Germany

June 9, 2022

Free registration is now open for CNS*2022 satellite tutorials: June 27--July 1

by Ankur Sinha

Dear all, Apologies for the cross-posts. The INCF/OCNS Software Working Group is happy to announce that the schedule for the CNS*2022 satellite tutorials from June 27--July 1 has now been published here: https://ocns.github.io/SoftwareWG/pages/software-wg-satellite-tutorials-at-… Free registration is also now open at: https://framaforms.org/incfocns-software-wg-cns2022-satellite-tutorials-reg… To prevent spam/zoom crashing, links to zoom meetings for the tutorial sessions will be limited to registrants only. Therefore, while registration is free, it is required. The satellite tutorials feature sessions on: - Arbor - Brian2 - Introduction to containers - EBRAINS - GeNN - Keras/TensorFlow - LFPy - MOOSE - Neo + Elephant - NEST - NetPyNE - NeuroLib - NeuroML - NEURON - OSBv2 - RateML Please spread the word, and we look forward to seeing you there! -- Thanks, Regards, Ankur Sinha (He / Him / His) | https://ankursinha.in Research Fellow at the Silver Lab, University College London | http://silverlab.org/ Free/Open source community volunteer at the NeuroFedora project | https://neuro.fedoraproject.org Time zone: Europe/London

June 8, 2022

Apply now for EITN Fall School in Computational Neuroscience 2022

by Zélie Tournoud

EITN School in Computational Neuroscience, 2022 session EITN School in Computational Neuroscience is an intensive computational neuroscience training aimed at neuroscience students and early-career researchers. It is supported by the Human Brain Project and is an oppotunity to learn from researchers from all over Europe. The 2022 edition will take place from *21 to 30 September 2022* in Paris, France. Attendance is selective as seats are limited. *Applications are open until 23 June 2022.* *Information : https://eitnschool2022.sciencesconf.org* Organizers: Sacha Van Albada (Forschungszentrum Jülich), Albert Gidon (Humboldt-Universität zu Berlin), Alain Destexhe (CNRS), Matteo di Volo (Cergy Université), Spase Petkoski (Aix-Marseille Université), Gorka Zamora-Lopez (Universitat Pompeu Fabra). Faculty: Nicolas Brunel Hermann Cuntz Gustavo Deco Alain Destexhe Matteo di Volo Albert Gidon Jennifer Goldman Moritz Helias Viktor Jirsa Maurizio Mattia Spase Petkoski Bartosz Telenczuk (to be confirmed) Sacha Van Albada Gorka Zamora-Lopez Damien Depannemaecker Domenico Guarino To be completed Who is this training for? * Neuroscience (and related fields) students and related * Post-doctoral/early-career researchers Why join? * 10 days of intensive training in computational neuroscience provided by researchers from all over Europe * Small scale event: get to connect! * A complete program: o Cellular models, and models of brain signals o Circuit models and networks o Mean-field models o Whole-brain models * Hands-on learning schedule based on: o Morning classes and tutorials o Group projects in the afternoon o Free time in the evenings to visit Paris How to apply? This training has a limited capacity of 20 students, therefor a selection will be performed by a scientific organizing committee. Applications are open until 23 June 2022. *Send your application by including a resume (CV) and cover letter (explaining motivations t**o join) by email at **eitn(a)neuro-psi.fr**.* You will receive a confirmation your application has be received within 5 working days or on the day application period closes (whichever comes the soonest). If not, please consider a technical issue and submit your application again. Contact eitn(a)neuro-psi.fr for any question or assistance. Selection criteria include: * Working or studying in neuroscience or related * Experience in python programming would help * Priority is given to PhD students as the primary target of this training, although Master students and post-docs are welcome to apply Practical information: * If selected, registration fee to attend the training is 400€. * If selected, you will need to bring your own laptop with a few pre-installed programs. * The tuition fee includes lunch, coffee, access to conference facilities and internet connection during the course days (Sunday not included). Location: Institut Supérieur Clorivière, 119 Bd Diderot, 75012 Paris. This training is design to be attended in-person in Paris. It will not be recorded nor accessible remotely. __________ * * *Zélie Tournoud*/// EITN Communication manager/ *European Institute for Theoretical Neuroscience (EITN)* UMR 9197 – *NeuroPSI*(Institut des Neurosciences Paris-Saclay) CNRS – Université Paris-Saclay Centre CEA Paris-Saclay Bâtiment 151 91400 Saclay https://www.eitn.org <https://www.eitn.org>

June 8, 2022

Workshop on Bio-inspired active AI at CNS*2022 - call for contributed talks

by Thomas Nowotny

Dear all, we will run a workshop on Bio-inspired active AI on Wed. 20 July 2022 at CNS*2022 in Melbourne. The details of the workshop topic are below and a preliminary list of invited talks is at http://users.sussex.ac.uk/~tn41/CNS2022_workshop/ We have time for some contributed talks and invite submissions of short titles/ abstracts. Please send your submission to me (t.nowotny(a)sussex.ac.uk) by Thursday, 30th June 2022. There is one workshop fee waiver available for an early career researcher if they are accepted for a contributed talk. Thanks & kind regards, Thomas --- CNS*2022 Workshop on Bio-inspired active AI<http://users.sussex.ac.uk/~tn41/CNS2022_workshop/> Recent advances in AI and notably in deep learning, have proven incredibly successful in creating solutions to specific complex problems (e.g. beating the best human players at Go, and driving cars through cities). But as we learn more about these approaches, their limitations are becoming more apparent in terms of high energy consumption, fragility, and lack of transferability between tasks. These limitations are particularly apparent when contrasted with naturally evolved intelligence. While no animals can play Go or drive cars, they are incredibly good at doing what they have evolved to do. For instance, ants learn how to forage effectively despite their tiny brains and minimal exploration of their world. We argue this difference comes about because natural intelligence is a property of closed-loop brain-body-environment interactions. Evolved innate behaviours in concert with specialised sensors and neural circuits extract and encode task-relevant information with maximal efficiency, aided by mechanisms of selective attention that focus learning on task-relevant features. In this workshop, we will explore how we can learn from mini-brains, and computational models to better understand intelligence and pave the pathway to building better AI. -- Prof. Thomas Nowotny Head of AI Research Group CCNR, Sussex Neuroscience Phone: +44-1273-678593 Engineering and Informatics, Fax: +44-1273-877873 University of Sussex, Falmer, Brighton BN1 9QJ sussex.ac.uk/informatics/tnowotny<http://sussex.ac.uk/informatics/tnowotny> <../../owa/redir.aspx?C=9e11bb0e527242938402b42d9b5498ea&URL=http%3a%2f%2fsussex.ac.uk%2finformatics%2ftnowotny> I support the University of Sussex Community Pledge, as I continue to help those around me during the pandemic. Small acts of collaboration, kindness and integrity can make a big difference. www.sussex.ac.uk/community-pledge<http://www.sussex.ac.uk/community-pledge>

June 7, 2022

Information theory workshop at CNS*2022 -- call for contributed talks

by Joseph Lizier

Dear all, We are pleased to announce that the Workshop on Methods of Information Theory in Computational Neuroscience<https://bit.ly/cns2022itw> will be held once again at the 31st Annual Computational Neuroscience Meeting (CNS*2022<https://www.cnsorg.org/cns-2022-quick> conference), in Melbourne, Australia. The workshop will be held during sessions over the final two days of the main conference, July 19 and 20, 2022. Our confirmed speakers so far include the following: * Tomás̆ Bárta, Academy of Sciences of the Czech Republic * Demian Battaglia, Aix-Marseille University * Demi Gao, The University of Melbourne * Tatiana Kameneva, Swinburne University, Melbourne * Leonardo Novelli, Monash University, Melbourne * Naotsugu Tsuchiya, Monash University, Melbourne * Masanori Shimono, Kyoto University * ... more TBA! We would like to call for further contributions<https://bit.ly/cns2022itwcall> of talks. If you are interested in contributing a talk, please send a title and abstract to Joseph Lizier (joseph.lizier(a)sydney.edu.au<mailto:joseph.lizier@sydney.edu.au>). Earlier submissions and those from female/minority speakers will be prioritised. Please pay attention to the registration for CNS*2022 (early bird deadlines and fees) as workshop registration at least is required for attendance, and see our website https://bit.ly/cns2022itw for more details. We hope you will join us there! Organising Committee: Joseph Lizier (chair) Abdullah Makkeh Justin Dauwels Michael Wibral

June 7, 2022

Abstract submission deadline for “TEX2022: Bringing together Predictive Processes and Statistical Learning”

by Yamil Vidal

Dear all, The abstract submission deadline for “TEX2022: Bringing together Predictive Processes and Statistical Learning” is this Friday (10th of June)!! We welcome the submission of abstracts presenting work in the fields of Predictive Processes and Statistical Learning. Work at the interception of these two fields will be particularly appreciated. We are glad to introduce the members of our Scientific Committee, who will evaluate the submitted abstracts: - Alejandro Blenkmann (Front Neurolab - RITMO, Department of Psychology, University of Oslo) - Louisa Bogaerts (Department of Experimental Psychology, Ghent University) - Fabienne Chetail (Lab Cognition Langage et Développement (LCLD), CRCN, Université Libre de Bruxelles) - Abhishek Banerjee (Adaptive Decisions Lab, Biosciences Institute, Newcastle University - https://www.adaptive-decisions.com/) - Emma Holmes (Department of Speech Hearing and Phonetic Sciences, UCL. Wellcome Centre for Human Neuroimaging, UCL) - Dezső Németh (Lyon Neuroscience Research Center (CRNL), Université Claude Bernard Lyon 1 - https://www.memoteam.org/) The results of the evaluation procedure will be announced on the 27th of June. All presentations will be done in person. Presenters of accepted abstracts will be required to register to the event no later than 10th of July. As the event is limited to 100 attendees, we recommend registering early in order to secure a spot. You can find more information at the event’s website: https://indico.sissa.it/e/TEX2022 If you are active on Twitter, please consider retweeting the event’s announcement: https://twitter.com/CrepaldiLab/status/1512412553942601740 We look forward to welcoming you to Trieste this summer! With best regards, Yamil Vidal and Davide Crepaldi Dr. Yamil Vidal Predictive Brain Lab Centre for Cognitive Neuroimaging - Donders Institute Nijmegen the Netherlands

June 6, 2022

Reminder: Call for abstracts Bernstein Conference

by Bernstein Communication

**Apologies for cross-posting** Dear colleagues, this is a gentle reminder to submit your abstract to be considered as contributed talk for the Bernstein Conference before June 15 here: https://bit.ly/BC_submission Each year the Bernstein Network invites the international computational neuroscience community to the annual Bernstein Conference for intensive scientific exchange. It has established itself as one of the most renown conferences worldwide in this field, attracting students, postdocs and PIs from around the world to meet and discuss new scientific discoveries. In 2022, the Bernstein Conference will take place as in-person meeting again in Berlin. Talks of the Main Conference are going to be livestreamed, given speakers consent. Find more information at https://bernstein-network.de/bernstein-conference/ ____ IMPORTANT DATES * Bernstein Conference: September 13 - 16, 2022 * Deadline for submission of abstracts to be considered for Contributed Talks: June 15, 2022 * Deadline for abstract submission: July 18, 2022 ____ ABSTRACTS We invite the computational neuroscience community to submit their abstracts: Submitted abstracts can either be considered as contributed talks or posters. All accepted abstracts will be published online and will be citable via Digital Object Identifiers (DOI). Further information can be found here: https://bit.ly/BC_submission ____ INVITED SPEAKERS Keynote Sonja Hofer (University College London, UK) Invited Talks Bing Brunton (University of Washington, USA) Christine Constantinople (New York University, USA) Carina Curto (Pennsylvania State University, USA) Liset M de la Prida (Instituto Cajal, Spain) Juan Alvaro Gallego (Imperial College London, UK) Mehrdad Jazayeri (Massachusetts Institute of Technology, USA) Gaby Maimon (The Rockefeller University, New York, USA) Andrew Saxe (University College London, UK) Henning Sprekeler (Technische Universität Berlin, Germany) Carsen Stringer (Janelia Research Campus, USA) ____ CONFERENCE COMMITTEE Raoul-Martin Memmesheimer (Conference Chair) Christian Machens (Program Chair) Tatjana Tchumatchenko (Program Vice Chair) Moritz Helias (Workshop Chair) Anna Levina (Workshop Vice Chair) & Megan Carey, Brent Doiron, Tatiana Engel, Ann Hermundstad, Christian Leibold, Timothy O'Leary, Srdjan Ostojic, Cristina Savin, Mark van Rossum, Friedemann Zenke. ____ For any further questions, please contact: bernstein.conference(a)fz-juelich.de ------------------------------------------------------------------------------------------------ ------------------------------------------------------------------------------------------------ Forschungszentrum Juelich GmbH 52425 Juelich Sitz der Gesellschaft: Juelich Eingetragen im Handelsregister des Amtsgerichts Dueren Nr. HR B 3498 Vorsitzender des Aufsichtsrats: MinDir Volker Rieke Geschaeftsfuehrung: Prof. Dr.-Ing. Wolfgang Marquardt (Vorsitzender), Karsten Beneke (stellv. Vorsitzender), Prof. Dr. Astrid Lambrecht, Prof. Dr. Frauke Melchior ------------------------------------------------------------------------------------------------ ------------------------------------------------------------------------------------------------ Neugierige sind herzlich willkommen am Sonntag, den 21. August 2022, von 10:00 bis 17:00 Uhr. Mehr unter: https://www.tagderneugier.de

June 6, 2022

ISRC Computational Neuroscience, Neurotechnology and Neuro-inspired AI Autumn School

by Wong-Lin, Kongfatt

The Organising Committee from Ulster University's Intelligent Systems Research Centre (ISRC) at Magee Campus in Derry~Londonderry is very pleased to announce that the international Computational Neuroscience, Neurotechnology and Neuro-inspired AI (ISRC-CN3) Autumn School will be held again this year. Supported by the International Brain Research Organisation (IBRO) and other sponsors, this year's Autumn School will run from 24th October to 28th October, inclusively. The topics covered in the ISRC-CN3 Autumn School include: * mathematical foundations in neuroscience * computational modelling of neural-glial systems, neuromodulators and cognition * neural data science * neurotechnology * neuromorphic computing and self-repaired intelligent machines * spiking neural networks and applications * cognitive robotics * ethics in neurotechnology and AI * entrepreneurship in neurotechnology and AI This ISRC-CN3 Autumn School is unique not only in the range and types of topics covered but it will also be delivered in an integrated way, from pedagogical to advanced levels. Registration is made highly affordable, and bursaries may be available. Academic researchers at the ISRC and invited external speakers will contribute to the delivery of this 5-day School, which will consist of lectures and labs. Attendees will have the opportunity to present and share their research work on the final day, and awards will be given to the top presenters. For more information, please visit the websites at: * https://www.ulster.ac.uk/faculties/computing-engineering-and-the-built-envi… * https://www.ulster.ac.uk/faculties/computing-engineering-and-the-built-envi… Application for the Autumn School is now opened and will close on 1st September. For further information, queries, or sponsorship, please contact Dr. KongFatt Wong-Lin (k.wong-lin(a)ulster.ac.uk<mailto:k.wong-lin@ulster.ac.uk>). This email and any attachments are confidential and intended solely for the use of the addressee and may contain information which is covered by legal, professional or other privilege. If you have received this email in error please notify the system manager at postmaster(a)ulster.ac.uk and delete this email immediately. Any views or opinions expressed are solely those of the author and do not necessarily represent those of Ulster University. The University's computer systems may be monitored and communications carried out on them may be recorded to secure the effective operation of the system and for other lawful purposes. Ulster University does not guarantee that this email or any attachments are free from viruses or 100% secure. Unless expressly stated in the body of a separate attachment, the text of email is not intended to form a binding contract. Correspondence to and from the University may be subject to requests for disclosure by 3rd parties under relevant legislation. The Ulster University was founded by Royal Charter in 1984 and is registered with company number RC000726 and VAT registered number GB672390524.The primary contact address for Ulster University in Northern Ireland is Cromore Road, Coleraine, Co. Londonderry BT52 1SA

June 6, 2022

WWNeuRise online seminars June-July 2022

by William Podlaski

WorldWideNeuRise will host several online talks throughout June-July 2022 on various topics in systems neuroscience from the following early career researchers (titles TBA): Wednesday, 8 June, 5pm CET Vladyslava Pechuk (Oren Lab, Weizmann Institute) Cathy Chen (Grissom Lab, University of Minnesota) Wednesday, 29 June, 5pm CET Meritxell Sáez (Briscoe Lab, Francis Crick Institute; IQS Barcelona) Esther Klingler (Jabaudon Lab, University of Geneva) Wednesday, 6 July, 5pm CET Ipshita Zutshi (Buzsaki Lab, New York University) Xenia Grande (Duzel Lab, University of Magdeburg) For more information, please visit our website (https://neurise.github.io/) find us on WorldWideNeuro (https://www.world-wide.org/Neuro/WWNeuRise/) or follow us on Twitter (https://twitter.com/WWNeuRise) We are always searching for PhD students and postdocs to give talks in our upcoming seminars on any topic in systems neuroscience. On our website ( https://neurise.github.io/) you can find an application form to directly apply, as well as a recommendation form, where you can suggest individuals from your lab, institute, or otherwise who you think might have an interesting story to tell! We are looking forward to seeing you at our upcoming seminars! The organising committee, Alon Baram (Behrens Lab, University of Oxford) Ellen Boven (Apps Lab, University of Bristol) Christina Buetfering (Häusser Lab, University College London) Wesley Clawson (Levin Lab, Tufts University) Lucie Descamps (Kentros Lab, Norwegian University of Science and Technology) Gily Ginosar (Ulanovsky Lab, Weizmann Institute) Loreen Hertäg (Clopath Lab, Imperial College London) Joram Keijser (Sprekeler Lab, TU Berlin) Bill Podlaski (Machens Lab, Champalimaud Research)

June 5, 2022

[JOBS] 1 Post-Doc open Positions on AI-ML to understand and contrast social media threats for teenagers

by Dimitri Ognibene

[JOBS] 1 Post-Doc open Positions on AI-ML to understand and contrast social media threats for teenagers ######### Apologize for cross posting ######### Dear colleagues, University Milano-Bicocca is offering 1 postdoctoral position on machine learning and AI applied to understand and contrast social media threats for teenagers. The successful participant will be involved in the multidisciplinary project COURAGE funded by Volkswagen Foundation. The position is research starting in September 2022 Please contact us for expression of interest and preliminary information: dimitri.ognibene(a)unimib.it (PI) 1 Researcher Position Application Opens: Middle June (tbd) Application Closes: late June (tbd) Interview: 5th July h14 (CET) Starts: September 2022 Duration: 1.5 years (18 months) Salary: €2600 pm Work permit: valid permit to work in Italy from September 2022 is a strong asset Topics: Social media, NLP, machine learning, cognitive models, opinion dynamics, computer vision, reinforcement learning, graph neural network, recommender systems, network analysis Project: COURAGE https://www.upf.edu/web/courage Informal description of the job: Do social media harm teenagers and our society? Can we make them safer? Let's understand how to reshape social media algorithms together with this competitive research positions in #machinelearnig, #artificialintelliegence and #socialmedia modelling based in Università degli Studi di Milano-Bicocca on the project COURAGE #couragecompanion #AIforSocialGood We will use the state of the art in graph neural networks, reinforcement learning, nlp, cv, and machine learning in general to improve our understanding of social media dynamics, and help our society by supporting and teaching young people tackle hate speech and fake news in social media. Many opportunities for interdisciplinary and international research -- Dimitri Ognibene, PhD Associate Professor at Università Milano-Bicocca Honorary Lecturer of Computer science and Artificial Intelligence at University of Essex http://sites.google.com/site/dimitriognibenehomepage/ *Skype:* dimitri.ognibene

June 4, 2022

Postdoc position in computational systems neuroscience, Voigts Lab, Janelia

by Jakob Voigts

The Voigts Lab at HHMI Janelia Research Campus is recruiting postdocs. We'll work on how neocortex builds and uses models of the world to give animals complex cognitive abilities. The lab will specifically attempt to go beyond repeated stimulus-response associations, instead using complex, naturalistic spatial behaviors in rodents to study flexible cognition. We'll be able to throw significant technology at the problem of combining sufficient measurements with complex naturalistic behavior, but more importantly we'll have to overcome the challenge of modeling, analyzing, and ultimately learning from data when there are few or no trials to average over. We will use experimental approaches, such as designing new tasks where mice make decisions based on incomplete knowledge of their environment, as well as developing new computational techniques to study circuit mechanisms in the context of unconstrained behaviours. We're part of the new Mechanistic Cognitive Neuroscience research area at Janelia, where there are unique resources for this type of work. We'll work closely with experimental, theoretical, methods, and machine learning researchers in and outside of Janelia to make this research program possible, collaborative, and fun. To apply, please send a cover letter, brief statement of research interests, and CV to voigtsj(a)janelia.hhmi.org Lab website: https://www.voigtslab.org

June 1, 2022

The KiloNeurons ERC project: post-doctoral position in theoretical neuroscience

by Yoram Burak

The Burak Lab at the Hebrew University is seeking to hire a postdoctoral research fellow in theoretical neuroscience. The postdoctoral fellow will take part in the ERC funded KiloNeurons project, led by Edvard Moser (Kavli Institute for Theoretical Neuroscience, NTNU) and Yoram Burak (Edmond and Lily Safra Center for Brain Sciences and the Racah Institute of Physics). The project aims to identify how thousands of neurons in the mammalian cortex interact with each other to achieve computational and cognitive functions. The KiloNeurons project offers opportunities to work on diverse theoretical and computational questions. These involve approaches ranging from pure theoretical modelling to analysis and interpretation of large-scale neural data. Theoretical tools include methods from nonlinear dynamics, machine learning, statistical physics, and information theory. A generous budget is available for travel between Israel and Norway to facilitate close interaction with members of the Moser lab, for travel and participation in scientific meetings, and for purchase of computing equipment. We are looking for candidates with excellent demonstrated abilities in theoretical research, strong intellectual curiosity and drive, a keen interest in computational neuroscience, and an interest in relating theory to experimental data. Candidates must have an excellent research record in theoretical neuroscience, theoretical physics, mathematics, computer science, or a related field. Experience with research related to machine learning, statistical physics, nonlinear dynamics, information theory, or large-scale data analysis, as well as prior familiarity with research in computational neuroscience are advantageous. To apply: please send the following information to kiloneurons-positions(a)elsc.huji.ac.il in a single PDF file: 1. Curriculum vitae 2. List of publications 3. Brief statement of research interests 4. The names and contact details of three references Deadline: For full consideration, applications should be received by June 30, 2022. ___ Yoram Burak Associate Professor Racah Institute of Physics, and Edmond and Lily Safra Center for Brain Sciences The Hebrew University of Jerusalem Goodman Brain Sciences Bldg 2102, Safra Campus, Jerusalem 91904, Israel p: +972-2-6584523 web: https://www.buraklab.me/

June 1, 2022

CNS*2022 satellite tutorials: free online sessions: June 27--July 1

by Ankur Sinha

Dear all, Apologies for the cross posts. https://ocns.github.io/SoftwareWG/pages/software-wg-satellite-tutorials-at-… The INCF/OCNS Software working group is organising 5 days of free online satellite tutorials ahead of the CNS*2022 conference. These tutorials will run from June 27--July 1 and feature sessions on: - Arbor - Brian2 - Introduction to containers - EBRAINS - GeNN - Keras/TensorFlow - LFPy - MOOSE - Neo + Elephant - NEST - NetPyNE - NeuroLib - NeuroML - NEURON - OSBv2 - RateML More information on the schedule and (free) registration will be published in the next week or so. Please do mark your calendars and spread to word to your colleagues, students, and anyone else who these may interest. For more information on the INCF/OCNS Software working group and how you can join our community, please visit our website: https://ocns.github.io/SoftwareWG/ -- Thanks, Regards, Ankur Sinha (He / Him / His) | https://ankursinha.in Research Fellow at the Silver Lab, University College London | http://silverlab.org/ Free/Open source community volunteer at the NeuroFedora project | https://neuro.fedoraproject.org Time zone: Europe/London

May 31, 2022

Job Openings: Professor / Associate Professor / Assistant Professor (Computer Science) (3 vacancies) at Hong Kong Baptist University

by COMP HKBU

The Department of Computer Science at Hong Kong Baptist University offers BSc, MSc, MPhil, and PhD programmes, and is now seeking outstanding applicants for the following faculty positions on tenure-track. *Professor / Associate Professor / Assistant Professor (Computer Science) (3 vacancies) (PR0395/21-22)* The appointees will perform high-impact research, teach and supervise students at undergraduate and postgraduate levels, and contribute to professional and institutional services. Collaboration with other faculty members in research and teaching is also expected. They will be encouraged to collaborate with colleagues within the Department to contribute to two special thematic applications including (a) health informatics and (b) security and privacy-aware computing, and to pursue new strategic research initiatives under the Department/Faculty/University. Applicants should possess a PhD degree in Computer Science, Computer Engineering, Information Systems, or a related field, and sufficiently demonstrate abilities to conduct high quality research in areas including but not limited to: Internet of things, Cyber-security, High-performance computing, Big data analytics, Art technologies and Financial technologies. Applicants should also show strong commitment to undergraduate and postgraduate teaching in computer science and/or information systems, possess track record of innovative research and high-impact publications, and be able to bid for and pursue externally-funded research programmes. Initial appointment will be offered on a fixed-term contract of three years. Re-appointment thereafter will be subject to mutual agreement. For enquiries, please contact Professor Jianliang Xu, Head of Department (email: xujl(a)comp.hkbu.edu.hk) More information about the Department can be found at https://www.comp.hkbu.edu.hk. *Rank and salary will be commensurate with qualifications and experience.* *Application Procedure:* Applicants are invited to submit their applications at the HKBU e-Recruitment System (jobs.hkbu.edu.hk) with samples of publications, preferably three best ones out of their most recent publications/works. They should also request two referees to send in confidential letters of reference, with *PR *number (stated above) quoted on the letters, to the Human Resources Office (Email: recruit(a)hkbu.edu.hk) direct. Those who are not invited for interview 4 months after the closing date may consider their applications unsuccessful. All application materials including publication samples, scholarly/creative works will be disposed of after completion of the recruitment exercise. Details of the University’s Personal Information Collection Statement can be found at http://hro.hkbu.edu.hk/pics. The University reserves the right not to make an appointment for the posts advertised, and the appointment will be made according to the terms and conditions applicable at the time of offer. *Closing date: Shortlisting will start immediately until the position is filled.* *URL: *https://www.comp.hkbu.edu.hk/v1/?page=job_vacancies&id=743

May 31, 2022

The Canadian Computational Neuroscience Spotlight is one week away!

by Scott Rich

Dear all, The third edition of the Canadian Computational Neuroscience Spotlight (CCNS) is just one week away. Our speaker list is now finalized, and can be found at ccnsmeeting.ca. The meeting will include keynote addresses from Drs. Viktor Jirsa, Gaute Einevoll, and Cendri Hutcherson, as well as a session on Neuro-AI with talks from Drs. Richard Naud, Milad Lankarany, Blake Richards, and Wilten Nicola. Register for the meeting at https://www.crowdcast.io/e/ccnsv3/register. We will be accepting late submissions for Trainee Talks until Wednesday at noon EDT. Please submit your abstracts at https://forms.gle/Vr1BsUZxjbSn1aFG7 for consideration. Sincerely, Scott Rich (on behalf of the organizing committee)

May 30, 2022

A YouTube playlist of 15 short videos for "A quick introduction to what is known about biological vision experimentally"

by Li Zhaoping

Dear colleagues, I have made this playlist "A quick introduction to what is known about biological vision experimentally" of 15 short video clips, each about 10 minutes long, see http://lizhaoping.org/zhaoping/QuickIntro_BiologicalVision_Playlist.html <https://t.co/Tfpa7epGAE> this is part of my effort for teaching materials for "Understanding vision: theory, models, and data" <http://www.lizhaoping.org/zhaoping/VideoLectures_ForBook.html>. Feedback most welcome, thank you! best Li Zhaoping -- Li Zhaoping, Ph.D. Prof. of Cognitive Science, University of Tuebingen Head of Department of Sensory and Sensorimotor Systems, Max Planck Institute for Biological Cybernetics Author of "Understanding vision: theory, models, and data", Oxford University Press, 2014 www.lizhaoping.org

May 27, 2022

PostDoc position at UCL: MEG and big data smartphone analysis

by Hauser, Tobias

PostDoc position at Max Planck UCL Centre for Computational Psychiatry with Dr Tobias Hauser We are looking for a PostDoc to work on exciting projects analysing already collected MEG and smartphone app data. We are looking for someone with experience in data analysis with behavioural and/or electrophysiological (MEG) data. The postdoc will be working on a MEG dataset of a novel task including a big patient sample. In addition, they will have the opportunity to analyse a large dataset of behavioural and questionnaire data from a smartphone app (www.brainexplorer.net<http://www.brainexplorer.net>). We are looking for someone with computational modelling, machine learning, or advanced neuroimaging data analysis expertise. The person will be based at the Max Planck UCL Centre for Computational Psychiatry and Ageing Research and the Wellcome Centre for Human Neuroimaging, located in Central London. If you have further questions, please contact Tobias Hauser (t.hauser(a)ucl.ac.uk<mailto:t.hauser@ucl.ac.uk>). To read more about the research group, please see https://devcompsy.org/ Job advert here: https://atsv7.wcn.co.uk/search_engine/jobs.cgi?amNvZGU9MTg4NDY5NiZ2dF90ZW1w… Best Tobias -- Play smartphone games and help us understand the brain: www.brainexplorer.net<http://www.brainexplorer.net> Dr Tobias U. Hauser Sir Henry Dale Fellow, Principal Research Fellow Developmental Computational Psychiatry lab Max Planck UCL Centre for Computational Psychiatry & Ageing Research Wellcome Centre for Human Neuroimaging University College London 10-12 Russell Square London WC1B 5EH +44 207 679 5264 (internal: 45264) t.hauser(a)ucl.ac.uk<mailto:t.hauser@ucl.ac.uk> www.tobiasuhauser.com<http://www.tobiasuhauser.com/> www.devcompsy.org<http://www.devcompsy.org/>

May 26, 2022

PhD position offer: Neuro-inspired macroscale model of tCS-induced changes on epileptic networks

by Elif Köksal

*Title*: Neuro-inspired macroscale model of tCS-induced changes on epileptic networks *Context*. Epilepsy refers to a neurological disorder that affects about 1% of the general population. Recent findings indicate that non-invasive brain transcranial current stimulation (tCS) is safe and of therapeutic promise in epilepsy. However, it is not yet indicated as a standard treatment due to major scientific limitations: unknown mechanisms of action, insufficient account for patient-specific factors, poor understanding of short- and long-term effects. The ambition of the GALVANI Project (ERC-SyG 2019; 2020-26) is to transform the care of a large fraction of patients living with drug-resistant epilepsies by solving a fundamental problem: to efficiently target and control large-scale epileptic brain networks with tCS-induced neuromodulatory weak electric fields. *Rationale. *Electrical stimulation (supra-threshold) and neuromodulation (sub-threshold) are two different methods that can be used to alter brain plasticity in order to lower hyperexcitability and subsequently decrease the occurrence of epileptiform events. These events are generated large-scale brain networks involving interconnected distant brain regions characterized by an increase of excitability. In this context, computational models are an efficient way to understand features of epileptiform events recorded in patients, either intracerebrally or from electrodes located on the scalp. In addition, it is an efficient tool to analyze the impact of tCS on the brain and optimize its therapeutic effect. *Objective. *This research focuses on neuromodulation induced by transcranial current stimulation (tCS). The objective of the proposed PhD position is to design a neuro-inspired macroscale model of the brain that will simulate electroencephalographic (EEG) signals under 2 conditions: spontaneous activity and tCS. The model will be able to simulate the activity of epileptogenic networks generating epileptic spikes during interictal periods. It will account for immediate (acute) and lasting (short- or long-term) effects of neuromodulatory weak electric fields, which remain elusive. Simulations will help the design of tCS-based neuromodulation strategies aimed at lowering interictal epileptic spikes. *Methods. *The model will start from previous results of the team (Merlet et al. PlosOne 2013, Bensaid et al. Frontiers in Neuroscience 2019). It will consist of a macroscale network of interconnected (edges) neural populations (nodes) located in the neocortex. Neurophysiological activity of each node will be generated by a neural mass model. The whole model will allow for simulation of normal and epileptic EEG activity (interictal spikes, ictal activity) under 2 conditions: spontaneous and tCS. Simulated signals will be compared to EEG signals recorded in patients under similar conditions. The model will be embedded into an existing software named COALIA developed in Python. tCS induced E-fields will be simulated using SimNibs (to start with) and with tools developed at Neuroelectrics. Optimal parameters reducing epileptic activity will be determined. *Scientific environment. *GALVANI involves three partners: LTSI-Inserm (Rennes), AMU-APHM (Marseille) and Neuroelectrics (Barcelona). It is intended to develop the next generation of brain stimulation solutions. GALVANI can be viewed as a distributed lab (Rennes-Barcelona-Marseille) working under a common policy to ensure coherence of research and intense collaboration and cross-fertilization. Fellows will be co-supervised in a unique, shared environment with exposure to science, technology and clinical experience. *Candidate profile.* The research project is at the interface between biomathematics (neuro-inspired models), biophysics (electric field models), and neuroscience/neurology (epilepsy). The candidate will preferably have some background in dynamical systems, computational neuroscience/systems biology or in electrical engineering, with experience in bio-signal processing and biophysics. Knowledge in electrophysiology and/or EEG analysis would be an asset. The PhD fellow will join a multidisciplinary team including research scientists in biomedical engineering, neurophysiological modeling, bio-physics, signal processing, electrophysiology, neurology. - *Contract*. The position will start on 01/10/2022. The contract is for 3 years with possible extension (3 months). The salary will be defined according to Inserm rules regarding doctoral student remuneration. Deadline for application. 15/07/2022 Contact. Applicants must send a CV and a cover letter to: Fabrice Wendling (DR Inserm, LTSI, France) Email: fabrice.wendling(a)inserm.fr Isabelle Merlet (CR Inserm, LTSI, France) Email: isabelle.merlet(a)inserm.fr Elif Koksal (Post-doc fellow, LTSI, France) Email: elif.koksal-ersoz(a)inserm.fr Pascal Benquet (Prof. Univ-Rennes1) Email: Pascal.Benquet(a)univ-rennes1.fr

May 26, 2022

Postdoc positions in NeuroAI

by Rui Ponte Costa

We are looking for two postdocs to work on deep learning-inspired computational neuroscience at the University of Bristol, United Kingdom. There are a number of exciting topics that you could contribute to: 1. Neuromodulated cortex-wide credit assignment 2. Subcortical facilitation of cortical learning 3. Theories of self-supervised learning in cortical circuits There are also opportunities to collaborate closely with leading cellular, systems and cellular neuroscientists, but also deep learning researchers. Successful candidates should have: - a strong quantitative background - keen interest in neuroscience - obtained (or be close to) a PhD in computational neuroscience, machine learning, physics, mathematics, computer science or similar. - ability to work in a strongly collaborative and interdisciplinary field Please express your interest by sending your cv and a brief statement of research interests to rui.costa(a)bristol.ac.uk<mailto:rui.costa@bristol.ac.uk> More info about our group at: neuralml.github.io<https://neuralml.github.io/> Best wishes, Rui Ponte Costa Lecturer (Assistant Professor) in Computational Neuroscience & Machine Learning Neural and Machine Learning group<https://neuralml.github.io/> Bristol Computational Neuroscience Unit<http://bristolcnu.github.io/>, Intelligent Systems Labs<https://www.bristol.ac.uk/engineering/research/intelligent-systems/> Faculty of Engineering & Bristol Neuroscience, University of Bristol<https://bristol.ac.uk/>, UK

May 26, 2022

Postdoctoral opportunity UTSA-AFRL

by Fidel Santamaria

We are looking for a postdoctoral fellow to computationally and theoretically study the effects of thermal gradients in synaptic plasticity. This is an area of research with potential translational and engineering applications. This is also a unique opportunity for those that want to explore working along the lines of interest of the Air Force Research Laboratories (AFRL). Furthermore, the funds and benefits dedicated for the training of the selected candidate are way better than what you can get in a traditional postdoctoral position. This research is part of a collaboration between the University of Texas at San Antonio, an R1 institution, and the AFRL. To apply please follow the link or look it up https://www.zintellect.com/Opportunity/Details/AFRL-711HPW-2022-0005 more information here https://orise.orau.gov/internships-fellowships/postdocs.html Please note that this position is only open to US citizens. You can also contact Dr Santamaria for more information: fidel.santamaria(a)utsa.edu<mailto:fidel.santamaria@utsa.edu> _______________________________________________________________________________ Fidel Santamaria, PhD Professor Department of Neuroscience, Development, and Regenerative Biology University of Texas at San Antonio www.utsa.edu/SantamariaLab<http://www.utsa.edu/SantamariaLab> Office: BSB 1.03.30 Tel +1(210) 458 6910

May 24, 2022