- Comp-neuro - lists.cnsorg.org

Postdoctoral position data/knowledge management for open neuroscience
by Andrew Davison 25 Sep '20

25 Sep '20

Dear colleagues, A postdoctoral position in neuroscience data curation is available within the Neuroinformatics research group of the Paris-Saclay Institute of Neuroscience, led by Dr Andrew Davison. The Human Brain Project is developing an open data repository for neuroscience, following the FAIR principles of Findability, Accessibility, Interoperability, and Reusability. The role of our group is to strongly focus on Reusability, by ensuring that all datasets have high quality, in-depth metadata so that they can be used in model building, model validation, and further analysis, and by providing tools to facilitate data re-use. The position is available immediately, and is funded until 31st March 2023, with future extensions possible. Salary depends on experience, and will be on the standard CNRS research scale. Application is through the CNRS jobs portal: https://emploi.cnrs.fr/Offres/CDD/UMR9197-ANDDAV-006/Default.aspx?lang=EN Informal inquiries may be addressed to Andrew Davison (andrew.davison(a)cnrs.fr) Activities: The successful candidate will be responsible for developing and improving metadata schemas, protocols, and curation workflows for neural activity data (including patch clamp recordings, fluorescence imaging, multi-electrode array recordings and fMRI), and for coordinating the in-depth curation process. The project will involve intensive collaboration with other researchers, curators and software developers within the research group, within the Human Brain Project, and in the wider neuroscience/neuroinformatics communities. Qualifications: Applicants should have a PhD in either neuroscience, computer science, library/information science, or a closely related discipline, or be nearing completion of PhD studies in one of these domains. Experience with experimental methods in neuroscience, semantic web technologies and/or information management approaches will be of particular benefit. Knowledge of computer programming, in particular using the Python language, would also be an advantage. Knowledge of French would be helpful but is not required, as English is the working language of the project. Context: The Paris-Saclay Institute of Neuroscience (https://neuropsi.cnrs.fr/en/institute-home/) is part of the CNRS and Université Paris-Saclay, situated in Gif-sur-Yvette in the Paris region. The Davison team (https://neuropsi.cnrs.fr/en/icn-home/andrew-davison/) develops tools and methods for data sharing, modelling and simulation in neuroscience and brain-inspired computing. This position is funded by the Human Brain Project, an EU Flagship research project, within which more than 100 universities and research institutions collaborate to build a digital research infrastructure for neuroscience, brain-inspired computing and medicine.

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You are invited to DSP online course
by Maryam 24 Sep '20

24 Sep '20

You are invited to “DIGITAL SIGNAL PROCESSING Online Course” Dear researcher; ScienceBeam, which is a forefront technology provider of neuroscience applications, would like to take the opportunity to invite you for 10-sessions “DIGITAL SIGNAL PROCESSING Online Course” that is going to start on October 18,2020. During this course you will learn: • Discrete-time signals and systems • Z-Transform • Transform of continuous-time signals • Transform analysis of linear time invariant systems • Structures for discrete-time systems • Filter design • The discrete Fourier Transform • Computation of the discrete Fourier transform Dr. Luu Gia Thien is an experienced lecturer at Ho Chi Minh City with a Doctor of Philosophy (PhD) focused in Digital signal processing from University of Orléans, France. Registration is open until October 5th. Special discount is considered for students. You won’t want to miss this! Don’t hesitate and register from the link below: https://sciencebeam.com/luu-gia-thien-course/ If you need more information please contact us via Whatsapp or Mail: Whatsapp number: +86 133 8078 1282 Email: workshop(a)sciencebeam.com www.sciencebeam.com

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Software engineer position in human brain project
by Eloy Retamino 23 Sep '20

23 Sep '20

Position: Neuro-robotics Software Engineer Location: Granada, Spain At the Applied Computational Neuroscience (ACN) Group [1], headed by Prof. Eduardo Ros and part of the Computer Architecture and Technology Department at University of Granada, we are engaged in developing robot controllers from models and techniques drawn from neuroscience. Concretely we focus on the exploration of models of the cerebellum and their application in robot control. We are looking for a software engineer to contribute to our tasks in the Human Brain Project (HBP) [2]. HBP is an ambitious, 10 years long research project funded by the European Commision and targeting the exploration of human cognition and its relation to brain structures and activity. The project is developing a series of simulation platforms to facilitate different levels of research in neuroscience. At UGR we participate in the design and development of the Neuro-Robotics Platform (NRP) [3], a research infrastructure which enables embodied simulated experiments in neuroscience in which a spiking neural simulator and a physics simulator run synchronously and communicate in a closed loop fashion. As a member of our group you will contribute to the development of the NRP in the last stage of the HBP. *Your tasks* Contribute to the full cycle development of the NRP. We have some interesting challenges in this last part of the HBP and need a motivated person with experience and passion for software architecture design, physics and neural simulation and robotics. As well, the NRP is built as a production grade software product and we try to take seriously all steps in the development, including unit testing, quality assurance and continuous integration. Depending on your profile you will focus more on particular tasks suiting your experience with the possibility of learning and applying new skills. *Your profile* * Basic skills: - Demonstrable excellent Python and C/C++ programming skills - Experience and participation in collaborative software projects - Experience and passion in robotics, machine learning, neural simulation and/or physics simulation is a big plus - Good spoken and written English skills * Additional skills: - Experience in other programming languages - Version Control software (eg. GIT) - Robotics oriented middlewares and frameworks (eg. ROS) - Experience in Software Architecture design - Experience in Real Time systems design - QA and devops experience *Our offer* - You will participate in an international research project of great relevance and collaborate with top european institutions - Contract of two and a half years with a competitive salary according to experience. Offered brute salary range is 1600 - 2400 €, to be concreted according to relevant experience and skills. - Short trips within Europe as part of the project activities. - Very nice and friendly atmosphere in the group - You will be based on Granada, an exciting and cultural city at the South of Spain half an hour away from mountains, snow and the beach If you are interested in joining our group and HBP send your application to Eloy Retamino (retamino at ugr.es) including your CV and a motivation letter. Please note that only shortlisted candidates will be contacted. Also, applications without a dedicated motivation letter will not be considered. [1] http://acn.ugr.es [2] https://www.humanbrainproject.eu [3] https://neurorobotics.net

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International Max Planck Research Schhol NeuroCom: Call for applications
by Martin Bogdan 23 Sep '20

23 Sep '20

Call for applications: International Max Planck Research Schhol NeuroCom: Call for applications The International Max Planck Research School on Neuroscience of Communication: Function, Structure, and Plasticity (IMPRS NeuroCom) invites excellent students holding a master's degree (or equivalent) to pursue a PhD in the field of cognitive neuroscience and methods in cognitive neuroscience. The IMPRS NeuroCom is based at the Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, and Leipzig University. It also closely partners with the Max Planck Institute for Evolutionary Anthropology, Leipzig, and the Institute of Cognitive Neuroscience at University College London, UK. Deadline for applications is 15 November 2020. Interviews will take place in January 2021. Start date is flexible, but not later than autumn 2021. For more information about our graduate school please visit: http://imprs-neurocom.mpg.de/home/ . The IMPRS NeuroCom aims to recruit and educate motivated, independent, self-organised and highly talented scientists who wish to extend their knowledge and research experience in a structured 3-year PhD programme in order to pursue a successful career in cognitive neuroscience, clinical neuroscience, neurophysics, or other methods in cognitive neuroscience. Students are expected to hold an excellent master's degree (or equivalent) in a wide spectrum of potential disciplines such as cognitive neuroscience, psychology, medicine, neurobiology, linguistics, computer science, engineering, mathematics, physics, biochemistry, or related fields. The master’s degree should have been awarded by an internationally recognised university. Students nearing completion of their master’s degree are also encouraged to apply. Research experience in an area that is related to the graduate school’s scope is essential for successful candidates. Proficiency in oral and written English is crucial. The IMPRS NeuroCom offers its doctoral students outstanding research opportunities in a very international and multidisciplinary environment. It includes access to state-of-the-art cognitive and imaging neuroscience facilities, e.g. 7T MRI scanner, four 3T MRI scanners including a Connectom MRI scanner equipped with ultra- strong gradients (one of only four worldwide), a 306 channel MEG system, several TMS, TDCS, NIRS, and EEG systems. Research projects and teaching at IMPRS NeuroCom are assigned to four thematic modules (Language and Communication, Cognitive and Affective Neuroscience, Basic and Clinical Neuroscience, and Neuroimaging Physics and Signal Processing). Our faculty is very interdisciplinary and comprises more than 30 highly- renowned researchers from our participating research organisations performing high-end research related to one of the four modules. Applications will be evaluated by the IMPRS NeuroCom faculty members in two stages. Firstly, candidates will be selected for interviews based on their written applications, with a focus on academic qualifications, personal references, research experience and interests, and suitability to the programme. Secondly, interviews with the IMPRS NeuroCom faculty members will take place in January 2021. The Max Planck Society is an equal opportunity employer and is committed to increasing the number of individuals with disabilities in its workforce and therefore encourages applications from such qualified individuals. Salary is based on the guidelines of the German public sector pay scale (TVöD). With almost 600,000 inhabitants, Leipzig is the largest city in the federal state of Saxony. In more than 800 years of recorded history, Leipzig emerged as a city of classical music, trade fairs, academic education, and —recently—modern arts. With its many parks, forests, canals and lakes, Leipzig is a perfect place for recreation, sports, and leisure time, and it offers plenty of opportunities for social life. Only recently Leipzig was listed by the New York Times as one of the 52 places to go in 2020. For more information about our graduate school please visit: http://imprs-neurocom.mpg.de/home/ . -- ************************************************************************** Prof. Dr. Martin Bogdan Institut für Informatik Neuromorphe Informationsverarbeitung Universität Leipzig Augustusplatz 10 D-04109 Leipzig Germany Postadresse: PF 100920 D-04009 Leipzig Tel: (++49) 341 97 32208 Fax: (++49) 341 97 32252 E-mail: bogdan(a)informatik.uni-leipzig.de https://ti.informatik.uni-leipzig.de/ ************************************************************************** Denken Sie selbst, sonst tuen es Maschinen für Sie! 'Nihil est ab omni parte beatum' (Horaz) El problema de la humanidad es que los estúpidos están seguros de todo y los inteligentes están llenos de dudas **************************************************************************

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Postdoctoral Position in Cognitive Robotics at UC Irvine
by Jeffrey Krichmar 22 Sep '20

22 Sep '20

Dear Colleagues, We have an opening for a postdoctoral scholar position in the Cognitive Anteater Robotics Laboratory (CARL) at the University of California, Irvine. The position is for research projects on neurobiologically inspired models of navigation, which are to be implemented on indoor and outdoor robots. Applicants should have a strong computer science background, robotics experience, as well as an interest in neuroscience and/or cognitive science. The specific Federally funded projects include: · Cognitive Maps in Rats, Robots and Men · Advantages of Varying Navigational Abilities in Humans and Robots More information about the lab, recent publications, software, and videos can be found at: · http://www.socsci.uci.edu/~jkrichma · https://www.youtube.com/user/cognitiveroboticsuci/videos Interested candidates can find specific application requirements and the online application for this position at: · https://recruit.ap.uci.edu/JPF06408 Your cover letter should specify that you are interested in the postdoctoral position with Jeff Krichmar. If you have any questions, feel free to contact me at: jkrichma(a)uci.edu About UCI (www.uci.edu) In 1965, the University of California, Irvine was founded with a mission to catalyze the community and enhance lives through rigorous academics, cutting-edge research, and dedicated public service. Today, we draw on the unyielding spirit of our pioneering faculty, staff and students who arrived on campus with a dream to inspire change and generate new ideas. We believe that true progress is made when different perspectives come together to advance our understanding of the world around us. And we enlighten our communities and point the way to a better future. At UCI, we shine brighter. 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

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[Call for Papers] Shared Visual Representations in Human and Machine Intelligence (SVRHM) NeurIPS 2020 Workshop
by SVRHM Workshop 22 Sep '20

22 Sep '20

The goal of the Second Workshop on Shared Visual Representations in Human and Machine Intelligence (SVRHM) at NeurIPS 2020 is to discuss and disseminate relevant findings and parallels between the computational neuro/cognitive science and machine learning/artificial intelligence communities. In the past few years, machine learning tools — especially deep neural networks — have permeated the vision/cognitive/neuro science communities to become the leading computational models that describe many cognitive tasks. Huge strides are also being made in the machine learning/artificial intelligence community with biologically inspired algorithms providing large efficiency gains in both computational and learning capabilities. However, many mysteries remain with regards to the alignment of human and machine perception, and there are cases where we see divergent rather than convergent representations. To resolve such questions, this workshop aims to bring fruitful discussions between scientists and engineers with multi-disciplinary backgrounds to review the recent progress in shared visual representations in both humans and machines, and in doing so identifying road-blocks and areas of interest to further accelerate the growth of both fields. The workshop will include a series of talks and panel discussions from a diverse group of speakers from both industry and academia who will share their research at the intersection of humans and machines that pushes the field of vision forward. The aim of our Call for Papers is to bring together scientists and engineers to share their work in progress at the Poster Session that are applicable to the scope of the Workshop. For the first time this year, the 4 highest scoring papers will also be awarded an Oral Presentation entry in the program. The following areas provide a sense of suitable topics for 4-5 page paper submissions: - Biological inspiration and inductive bias in vision - Human-relevant strategies for robustness and generalization - New datasets (e.g., for comparing humans/animals and machines) - Biologically-driven self-supervision - Perceptual invariance and metamerism - Biologically-informed strategies to mitigate adversarial vulnerability - Foveation, active perception, and attention models - Intuitive physics - Biologically inspired Generative Models - Perceptual and cognitive robustness - Nuances and noise in perceptual and cognitive systems - Creative problem-solving - Differences and similarities between humans and deep neural networks - Canonical computations in biological and artificial systems - Alternative architectures for deep neural networks - Reverse engineering of the human visual system via deep neural networks We will be awarding a new *NVIDIA Titan RTX* *3080* as the *Diversity in AI Best Paper Award* and an *Oculus Quest* *2* as the *Breakthrough in Biologically-Driven Generative Models Award* respectively at the conference. Link to the workshop with additional details for the Call for Papers: https://www.svrhm.com https://www.svrhm.com/call-for-papers Link to Paper workshop submission: https://openreview.net/group?id=NeurIPS.cc/2020/Workshop/SVRHM The submission deadline is October 4th, 2020. Questions regarding the workshop should be sent to: svrhm2020(a)gmail.com Sincerely, The Organizers Arturo Deza, Joshua Peterson, Apruva Ratan Murty, Tom Griffiths The SVRHM workshop is currently sponsored by MIT’s Center from Brains, Minds and Machines (CBMM), National Science Foundation (NSF), NVIDIA, Facebook Reality Labs (Oculus) and MIT’s Quest for Intelligence.

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Full Prof Post in AI
by Thomas Wennekers 21 Sep '20

21 Sep '20

Dear All Please have a look at the following advertisement for a Professorship in AI at the University of Plymouth (UK). https://hrservices.plymouth.ac.uk/tlive_webrecruitment/wrd/run/ETREC107GF.o… https://www.jobs.ac.uk/job/CBH704/professor-in-artificial-intelligence-mach… Stay Well! Thomas Wennekers ________________________________ [http://www.plymouth.ac.uk/images/email_footer.gif]<http://www.plymouth.ac.uk/worldclass> This email and any files with it are confidential and intended solely for the use of the recipient to whom it is addressed. If you are not the intended recipient then copying, distribution or other use of the information contained is strictly prohibited and you should not rely on it. If you have received this email in error please let the sender know immediately and delete it from your system(s). Internet emails are not necessarily secure. While we take every care, University of Plymouth accepts no responsibility for viruses and it is your responsibility to scan emails and their attachments. University of Plymouth does not accept responsibility for any changes made after it was sent. Nothing in this email or its attachments constitutes an order for goods or services unless accompanied by an official order form.

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M2/PhD pisition in Optical analysis of sodium currents in the axon initial segment
by luiza filipis 21 Sep '20

21 Sep '20

Stage « Master 2 » : Optical analysis of sodium currents in the axon initial segment We propose a Master 2 (M2) stage that can be extended to a 3-4 years PhD project on the study of the sodium currents that generate the action potential in neurons. To this aim, we use cutting-edge optical techniques entirely developed by our group and NEURON modeling. The stage will take place at the Laboratoire Interdisciplinaire de Physique in the campus of the University of Grenoble. This stage, of 4-6 months, is available for students at the final year of the University to start in February or March 2021.We will offer this opportunity to a brilliant student motivated to begin a career in scientific research. A PhD scholarship is already available starting in October 2021 to apply the research of the M2 project to investigate mutations of the sodium channel Nav1.2 associated with neurological diseases. For an overview of the activity and of the achievements of our group, visit the website: http://marco-canepari.wix.com/neuron-imaging-team Applications of students, with a very high academic profile based on the notes obtained the entire university history, from different backgrounds (physics, biology, medicine or chemistry) will be equally considered. The application for the stage, in English or French, must be sent to: marco.canepari(a)univ-grenoble-alpes.fr and must include: • A motivation letter • A CV with contact details • The detailed marks of the entire academic history • (Optional) a reference letter from an academic who knows well the student The deadline for the application is October 10th 2020, but the call for applications will close before if a suitable candidate is found. -- Luiza Filipis,PhD Equipe MOTIV Laboratoire Interdisciplinaire de Physique (LIPhy), Université Grenoble Alpes et CNRS UMR 5588, Bat. E45, 140 avenue de la physique, Domaine univ., 38402 St Martin d'Hères cedex, FRANCE 33(0)476514731, Fax +33(0)476635495. luiza.filipis(a)univ-grenoble-alpes.fr http://marco-canepari.wix.com/neuron-imaging-team

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Announcement: 2nd Elephant User Workshop for Reproducible Data Analysis in Electrophysiology, Nov 17-19, 2020
by Michael Denker 21 Sep '20

21 Sep '20

***2nd Elephant User Workshop*** --Accelerate Structured and Reproducible Data Analysis in Electrophysiology-- Virtual Event Nov 17-19, 2020 Summary: This event delves into challenges in the reproducibility of neuroscience workflows dealing with classical electrophysiological activity data, such as spiking data or local field potentials, from experiment or simulation. The training will cover the complete cycle from generating structured and consistent data and metadata, accessing the data, pre-processing, setting up analysis workflows, up to the tracking of the provenance of the analysis results. In this context, the e-infrastructure services of EBRAINS offer a mature data, software and compute services ecosystem with community-driven tools developed in the framework of the Human Brain Project. In the first part of the workshop, participants will be trained in the use of tools covering the following topics: * reading and manipulating electrophysiology data in Python using Neo [1] * analysis of such data using Elephant [2] * best practices for integrating metadata into your workflow to aid the analysis process * best practices for structuring analysis results * tracking data analysis pipelines using the HBP Knowledge Graph [3] * collaboration and sharing documents using the HBP Collaboratory [4] In the second part of the workshop, participants will work together with a tutor in small groups, on their own data and on particular personal interests in the scope of the workshop. To this end, participants are asked to provide a small abstract describing the data set they would like to bring and work on (contents of the dataset, data format, data size...) and the topic they are interested in. The latter may, for example, be related to: annotating the dataset with metadata for collaboration and sharing, working with the dataset in the Neo framework, or performing a certain kind of analysis with the data set. The goal of each group is to get started addressing the topic, identify solutions together with the tutors, and implement a first prototype of the required functionality. For more information and registration, check out: https://www.humanbrainproject.eu/en/education/participatecollaborate/infras… Organizers: Andrew Davison | French National Centre for Scientific Research, France Michael Denker | Forschungszentrum Jülich, Germany Martina Schmalholz | Heidelberg University, Germany References: [1] Neo, https://neo.readthedocs.io [2] Elephant, https://elephant.readthedocs.io [3] HBP Knowledge Graph, https://kg.ebrains.eu [4] HBP Collaboratory, https://wiki.humanbrainproject.eu -- Dr. Michael Denker Institute of Neuroscience and Medicine (INM-6) Tel: +49 2461 61-9471 Computational and Systems Neuroscience & Fax: +49 2461 61-9460 Institute for Advanced Simulation (IAS-6) Theoretical Neurosciencewww.csn.fz-juelich.de Jülich Research Centre and JARA 52425 Jülich, Germany ---------------------------------------------------------------------- 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.-Ing. Harald Bolt ----------------------------------------------------------------------

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PhD positions in Math Biology & Computational Neuroscience at NJIT
by Victor Matveev 21 Sep '20

21 Sep '20

Dear all, The Department of Mathematical Sciences at New Jersey Institute of Technology (NJIT) is inviting candidates to apply to one of our doctoral program tracks: (1) Applied Mathematics or (2) Applied Probability & Statistics. The Department's research focus spans Mathematical Biology and Computational Neuroscience, Scientific Computing, Fluid Dynamics, Materials Science, Wave Propagation, Applied Analysis, Applied Probability & Statistics, including Biostatistics and Data Science. Teaching and research assistantships are available, and include a tuition waiver and a competitive stipend. Application target date is December 15, 2020 but ongoing review will continue until all available positions are filled. To apply, please visit our homepage: https://www.njit.edu/graduatestudies/department-mathematical-sciences/ For more information, please email us (math(a)njit.edu, CC: shahriar(a)njit.edu, matveev(a)njit.edu) PhD Program advertisement flyer is available here: http://web.njit.edu/~matveev/NJIT_DMS_PhD_flyer.pdf Sincerely, -- Admissions Committee, Department of Mathematical Sciences, NJIT -- _____________________________________________ Victor Matveev, Professor Applied Math, Biophysics, Neuroscience Department of Mathematical Sciences Graduate Faculty, Dept of Biological Sciences New Jersey Institute of Technology Newark, NJ 07102-1982 Office: Cullimore Hall 616 E-mail: matveev(a)njit.edu http://web.njit.edu/~matveev/

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Two open postdoc positions in Rutledge Lab at Yale
by Rutledge, Robb 18 Sep '20

18 Sep '20

The Rutledge Lab in the Department of Psychology at Yale is accepting applications from prospective postdocs for 3-year postdoc positions with a flexible start date. Our lab uses computational models to study reinforcement learning, decision making, and affective states like happiness. We explore these questions using a combination of brain scanning, pharmacology, and large-scale smartphone-based experiments in healthy and clinical populations. Our previous app The Great Brain Experiment had over 100,000 users. We are looking for postdocs for a NIMH-funded project using longitudinal smartphone-based data collection with tasks and surveys in people with depression and control participants (N>600) including a subset (N>200) with fMRI data. Collaborators for rsfMRI: Avram Holmes (Yale), Faith Gunning and Conor Liston (Cornell Weill) Machine learning: Zeb Kurth-Nelson (DeepMind) Clinical and longitudinal: Akshay Nair (UCL), John Krystal, Leying Guan and Ralitza Gueorguieva (Yale) Further details can be found on our website (www.rutledgelab.org) Interested applicants are encouraged to contact Dr Rutledge directly (robb.rutledge(a)yale.edu) with a CV, a brief description of research interests, and a list of three references (names and email addresses).

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Registration, abstracts - Brain Criticality Virtual Meeting October 6 – 9 2020
by Plenz, Dietmar (NIH/NIMH) [E] 17 Sep '20

17 Sep '20

Brain Criticality Virtual Meeting October 6 – 9 2020 https://braincriticality.org/ Organizers: Dietmar Plenz, Lucilla de Arcangelis, Dante Chialvo, Demian Battaglia This meeting intends to gather recent contributions in the field of systems neuroscience, with the purpose of further discussing the role of criticality and its implications in the dynamics of large neuronal populations, functional and structural connectivity, development and learning, robustness of system operation. Recent advances in selective recording and perturbation approaches involving large populations of neurons offer unique opportunities to test these predictions, challenge current interpretations of large data sets and trigger novel theoretical developments. The meeting will take place virtually. Registration is free but limited and allows interactively participating to discussions and submitting contributed abstracts. A free live streaming will also be offered. Deadline for registration is October 2nd, 2020 Abstracts submitted before Sunday September 27th will be considered for spotlight oral presentation. Remaining abstracts will be presented as virtual posters Follow us on FaceBook https://www.facebook.com/BrainCriticalityorg-121887946321170 Twitter https://twitter.com/brain_crit

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Postdoc positions in Neural Control of Speech Production, Massachusetts General Hospital and Harvard Medical School.
by Bush, Alan 17 Sep '20

17 Sep '20

The Brain Modulation Laboratory (www.brainmodulationlab.org<https://www.brainmodulationlab.org/>) within the Department of Neurosurgery at Massachusetts General Hospital and Harvard Medical School, headed Dr. Mark Richardson, seeks to recruit a highly motivated and outstanding candidate to fill a postdoctoral associate position. This 3 to 5-year position is funded through a recently awarded NIH-NINDS U01 grant to Principal Investigator Mark Richardson, MD, PhD. The successful candidate will work in a highly interdisciplinary team, studying the role of cortical-basal ganglia networks during speech production, based on the analysis of intra operative local field potential and micro-electrode recording data acquired in the context of Deep Brain Stimulation implantation surgery. Co-investigators include Frank Guenther (BU), Nathan Crone (Johns Hopkins), Lori Holt (CMU), Julie Fiez (Pitt), and Rob Turner (Pitt). Experience in electrophysiology, speech comprehension and/or production research, and a solid background in computational neuroscience is required. Interested applicants please use following link https://neurojobs.sfn.org/job/27234/post-doctoral-associate/ Project Summary: Modulating how we speak is critical for effective communication. The production and modulation of speech, like other behaviors, relies on basal ganglia-thalamocortical networks, not merely on cortical processes. Current knowledge about how the basal ganglia modulate speech, however, is primarily theoretical, due to a lack of empirical data. Theoretical models for speech production, in turn, remain underdeveloped. Notably, no models of speech production include the subthalamic nucleus (STN), a basal ganglia node that has been implicated in multiple cognitive processes relevant to speech production (e.g. action selection/suppression, gain modulation, and motor learning). Using access to the brain that can only be provided by deep brain stimulation (DBS) surgery, we initiated studies to understand how motor speech information is encoded within the STN-cortical network. We established a novel experimental paradigm to simultaneously record primary motor electrocorticography (ECoG) and STN activity in subjects who are awake and speaking. In our initial project, we discovered separate populations of STN neurons whose inhibition or excitation was selective for either speech planning or production, respectively [1]. We also found that STN population activity tracks with specific articulatory motor features and with vocal gain adjustment [2]. Our discoveries indicate multiple roles for STN activity in speech planning and modulation, consistent with nonhuman primate data that STN neurons are functionally diverse and that the STN is innervated broadly from cortical areas critical for speech production in humans. We propose to build on our foundational results by exploring how a broader cortical-STN network participates in speech production. Specifically, we have developed a protocol for simultaneous recording of high-density ECoG from the inferior frontal gyrus (IFG), ventral sensorimotor cortex (vSMC), superior temporal gyrus (STG) and the STN. Our preliminary data support the hypothesis that these cortical speech areas communicate with the basal ganglia not only through cortical-striatal direct and indirect pathways, but also through a hyperdirect pathway to STN. These findings include the STG, consistent with evidence for basal ganglia participation in auditory processing. To uncover seminal knowledge about how cortical-basal ganglia dynamics shape speech, we will use intracranial electrophysiology to define the connectivity of speech-related cortex to the STN, while evaluating the role of cortical-STN and cortical-GPi dynamics in two basal ganglia functions critical for speech: motor sequence learning and gain modulation. Our invasive human neuroscience approach is unique in its ability to define, for the first time, a broad cortical-basal ganglia network for modulating speech. Establishing a neurobiological framework for cortical-basal ganglia network control of these processes will represent an order of magnitude change in our understanding of mechanisms for modulating speech, in turn informing how we model the dynamics of other human behaviors modulated by the basal ganglia. 1. Lipski, W. J. et al. Subthalamic Nucleus Neurons Differentially Encode Early and Late Aspects of Speech Production. Journal of Neuroscience 38, 5620–5631 (2018). 2. Chrabaszcz, A. et al. Subthalamic nucleus and sensorimotor cortex activity during speech production. The Journal of Neuroscience 2842–18 (2019). doi:10.1523/JNEUROSCI.2842-18.2019 Alan Bush, PhD Research Scientist, Department of Neurosurgery, Massachusetts General Hospital. Instructor, Harvard Medical School. 55 Fruit Street, Thier 429 | Boston, MA 02114 The information in this e-mail is intended only for the person to whom it is addressed. If you believe this e-mail was sent to you in error and the e-mail contains patient information, please contact the Mass General Brigham Compliance HelpLine at http://www.massgeneralbrigham.org/complianceline . If the e-mail was sent to you in error but does not contain patient information, please contact the sender and properly dispose of the e-mail.

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Senior Scientist – Stroke position at the NeuroRestore center (Lausanne, Switzerland)
by Milekovic Tomislav 16 Sep '20

16 Sep '20

Senior Scientist – Stroke position at the NeuroRestore center (Lausanne, Switzerland) Location The Defitech Center for interventional Neurotherapies (NeuroRestore) is a research and innovation center joining EPFL’s lab of Prof. Gregoire Courtine and the University Hospital of Lausanne (CHUV) lab of Prof. Jocelyne Bloch. We conceive, develop and apply medical therapies aimed to restore neurological functions. To this end, we integrate implantable neurotechnologies with innovative treatments developed through rigorous preclinical and clinical studies. By working with our network of vibrant high-tech start-ups and established medical technology companies, we are committed to validate our medical therapy concepts. Our overarching goal is to see our medical therapies used every day in hospitals and rehabilitation clinics worldwide. Opportunity Over the last decade, research labs under the NeuroRestore umbrella have achieved breakthroughs for the treatment of spinal cord injury and Parkinson’s disease. Our recent studies indicate that similar approaches may lead to novel therapies for stroke. Therefore, we decided to build a strong research core focused on gaining deeper understanding of stroke and resulting neurological deficits, and on developing therapies that leverage the gained understanding to replace or restore motor functions impacted by stroke. By integrating well-equipped and expertly staffed rodent, non-human primate and clinical research facilities, NeuroRestore provides an ideal substrate for rapidly developing, integrating and clinically validating cutting-edge concepts of medical therapies, with the capacity to push successfully proven concepts into the technology transition phase. Position Summary The Senor Scientist – Stroke will bring their expertise and experience to build and then lead the stroke research core of the NeuroRestore center. They will develop original research projects across the whole stroke therapy development spectrum, starting from mechanistic understanding of stroke and resulting neurological and motor deficits, over preclinical tests of therapy concepts designed to take advantage of uncovered mechanisms, to clinical validation of therapies designed to alleviate motor deficits secondary to stroke. They will form and lead teams of NeuroRestore postdoctoral scientists, doctoral students, engineers and clinicians to execute these projects. They will train other scientists in their expert techniques and supervise junior scientists working on their projects. They will disseminate the results of their projects through research publications and conference talks and support preparation of scientific conference presentations and publications of other NeuroRestore personnel that works on stroke-related projects. They will take part in writing grant application that will support stroke-related projects. Responsibilities - Identify unmet clinical needs of stroke survivors and monitor the development of the medical neurotech sector to find opportunities for novel, feasible and rapidly realizable stroke therapies - Conceive, organize and plan out research projects - Form and leads teams to execute conceived research projects - Utilize their academic / clinical industry network to form collaborations that will help execute conceived research projects - Assess the project needs, identify relevant personnel and resources, and take part in hiring technical and scientific personnel to build skilled project teams - Train the NeuroRestore personnel in their area of expertise - Run project progress meetings, report on project progress, plan and manage the dissemination of project results - Take part in writing of funding applications to initiate new projects, strengthen / accelerate ongoing projects, or enhance ongoing collaborations - Develop and maintain connections with science labs and clinical centers to facilitate rapid animal and clinical testing of concepts and prototypes of medical treatments - Manage efforts to obtain regulatory approvals for animal studies and clinical trials to validate the concepts of medical therapies - Represent the Neurorestore Center at symposiums and conferences through talks and presentations Personal Traits - Passionate about the development of neurotechnologies that aim to alleviate movement disabilities of stroke - Thriving in a cutting edge, fast-paced, multidisciplinary environment - Self-starter and independent worker with an ability to identify innovative approaches and solutions - Attention to detail - Independent thinker and passionate problem solver Skills - Ability to independently conceive original research projects - Capacity to supervise several research projects in parallel - Capability to successfully lead research teams, and maintain collaborations with external partners - Strong verbal and written presentation skills in English - Experience with leading animal research projects and/or projects under the framework of clinical trials and studies - Track record of obtaining regulatory approvals for animal studies and/or clinical trials - Strong experience with writing project proposals, project progress reports and research articles - Experience in disseminating project progress through talks, presentation and publications - Experience in physiological signal acquisition and signal analysis - Capacity to identify skill gaps and hire personnel to fill them - Experience with writing, filling and obtaining patents - Advanced presentation skills (PowerPoint, Photoshop, Illustrator) - Willingness to travel in order to form / maintain collaborations - Possessing a strong academic, clinical, regulatory and industry network and the ability to use it to organize collaborative projects Experience - Doctoral degree (PhD) - 6 or more years of experience working in the fields of neuroscience / neuroengineering (including the PhD studies) - 3 or more years of experience in stroke-related research - Strong publication record in the stroke field Contact Applications including a CV and a cover letter describing your background and interest should be sent to tomislav.milekovic(a)epfl.ch<mailto:tomislav.milekovic@epfl.ch>. Informal inquiries are welcome.

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PhD Student / Postdoc positions in Theoretical Neuroscience, Hertie Institute for Clinical Brain Research / Center for Integrative Neuroscience, University of Tübingen
by Compsens 16 Sep '20

16 Sep '20

PhD Student / Postdoc positions in Theoretical Neuroscience, Hertie Institute for Clinical Brain Research / Center for Integrative Neuroscience, University of Tübingen The positions are part of the ERC-Synergy grant RELEVANCE that investigates the neural and computational processing of bodies, which is realized in collaboration with the Universities of Leuven and Maastricht. The project aims at the investigation of the computational neural mechanisms of the visual processing of social stimuli, combining theoretical modeling with experimental research in physiology and imaging in humans as well as in animal models (realized by the other partners). The theoretical work will combine neural network modeling, machine learning, and advanced methods for stimulus control from computer graphics. We are looking for individuals with an interest, or possibly even partial expertise in one or multiple of the following areas: - physiologically-inspired neural modeling or neural data analysis - deep learning, biologically-inspired neural networks - machine learning with applications in cognitive science - motion capture and tracking - computer animation, virtual reality, game engines (e.g. Unreal, Unity) In addition, we are looking for individuals with interest to develop computer-animation or virtual reality technology for non-standard applications. Successful students / postdocs will be integrated in the research taking place in the Section for Computational Sensomotorics (http://www.compsens.uni-tuebingen.de/) which is part of the Dept. of Cognitive Neurology. The group works on neural modeling, machine learning techniques related to social recognition, computer animation, and human motion modeling, e.g. realizing highly-realistic avatars and VR applications for experiments in neuroscience and clinical research. The group is part of the CyberValley initiative (https://cyber-valley.de/) that links groups related to machine learning and industry applications in Tübingen. Talented students will have the opportunity to pursue a PhD in the International Max Planck Research Schools or for ‘Mechanisms of Mental Function and Dysfunction’ at the Graduate Training Center for Neuroscience (https://www.neuroschool-tuebingen.de/) or at the International Max Planck Research School for Intelligent Systems (https://imprs.is.mpg.de/) Requirements: Candidates should have a (research) master degree in one of the following disciplines: (Biomedical) Engineering, Computer Science, (Cognitive) Neuroscience, Mathematics, Physics, or Computer Animation/Visual Effects. In addition to these requirements, candidates should have a theoretical interest in the area of visual neuroscience, and experience with scientific programming (Matlab, Python, or any other language), as well as basic programing languages such as C++. Additional information: Section for Computational Sensomotorics, Dept. for Cognitive Neurology, Hertie Institute for Clinical Brain Research & Centre for Integrative Neuroscience, University Clinic Tübingen. Email: martin.giese(a)uni-tuebingen.de. Web: http://www.compsens.uni-tuebingen.de/

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Postrdoc & PhD Positions in Human Multisensory Perception, Action & Learning, Ulm Germany
by Marc Ernst 16 Sep '20

16 Sep '20

The Applied Cognitive Psychology Group at Ulm University, Germany headed by Prof. Marc Ernst is inviting applications for a research position on human multisensory perception, action and learning. The positions will be embedded in a highly interdisciplinary, international research group lead by Prof. Marc Ernst, who recently started a new group in the Faculty for Engineering, Computer Science, and Psychology at Ulm University. The focus of the group is on multisensory perception (with a focus on active audition, touch and vision), sensorimotor integration, perceptual learning, joint action and crowed behaviour and its applications to HCI. For their experimental work the group is predominantly relying on behavioral methods from psychophysics and experimental psychology. For this there are many state-of-the-art virtual reality and HCI setups available, including different projection systems for visual stimulation, force feedback and robotic devices including tactile displays for work on the human haptic system, a noise attenuation camber with an active audio setup for work on the auditory system and two unique treadmill setups for studies on human locomotion and navigation. Additionally there are several eye- and motion tracking systems available for the recording of human behavioural data. The groups has a strong focus on the modeling of human behaviour, relying heavily on the Bayesian Framework and the development of ideal observer models. Tow of these positions are funded by recent grant on navigation and crowed behaviour. Research and teaching is all in English. The successful candidate should have a background in psychology, cognitive science, computer science, or some neuroscience related field. Some modelling and programming experience is advantageous. Salary is according to German Public Service regulations and the positions are available immediately. Applications will be considered until the positions are filled. The application should include a cover letter stating the candidates research interests, curriculum vita, reprints (if available), and names of three referees. Electronic submission is preferred. All the best, --------------------------------------------------------- Prof. Dr. Marc Ernst Appl. Cognitive Psychology Faculty for Computer Science, Engineering, and Psychology Ulm University Albert-Einstein-Allee 43 89081 Ulm room: 43.3.103 phone: +49-731-50 320 50 sekr: +49-731-50 320 51 fax: +49-731-50 320 59 mobile: +49-152-22 543 156 marc.ernst(a)uni-ulm.de <mailto:marc.ernst@uni-ulm.de>

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computational neuroscience phd opportunities with Dan Goodman, Imperial College
by Dan Goodman 15 Sep '20

15 Sep '20

One or more PhD positions in theoretical and computational neuroscience are available in the group of Dan Goodman at Imperial College London. I am interested in supervising students with a strong mathematical, computational or neuroscience background. There is no deadline, and applications will be considered as they arrive, but earlier applications typically have a higher chance of getting a funded place, and EU applicants in particular should apply immediately (see note below). At the moment, the main research direction in the group is in applying methods from machine learning to models with a more biological flavour than the artificial neural networks typically studied in machine learning. This could include neurons with temporal dynamics, spiking neurons, etc. The aim is to use machine learning methods to find biologically relevant insights. To get a feel for this sort of work, you might be interested in seeing some of the recorded talks <https://www.youtube.com/watch?v=5SrEycIbfRE&list=PL09WqqDbQWHFvM9DFYkM_Gfnr…> from a recent workshop I organised. However, our group has a fairly diverse range of interests and I am very happy to receive applications on a wider variety of topics than this (including theory of neural processing, auditory and other sensory systems, and simulation and data analysis). If you are interested in applying, please see the detailed instructions on my website: http://neural-reckoning.org/openings.html <http://neural-reckoning.org/openings.html> *Note on Brexit.* EU students starting a PhD in 2020-21 will still have the right to study in the UK, and be eligible for UK fee status and for financial support for the full duration of their course. However, the last opportunity for a funded place starting in the 2020-21 academic year will be a funding panel to take place in late October 2020, so EU candidates should get applications in as soon as possible, and please include a note in your email to me to make clear you are an EU candidate. Dan Goodman

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Post-doctoral position at the University of Manchester
by Riccardo Storchi 15 Sep '20

15 Sep '20

We seek a passionate, self-motivated scientist to undertake the project “Action in Vision” aimed at understanding how motor actions affect visual processing. The successful candidate will have an established track record in computational biology, up-to-date programming skills and a strong passion for system neuroscience. Previous experiences in performing and/or analysing electrophysiological and behavioural data or in computer vision are desirable. The successful candidate will work with high density electrophysiological data from freely moving mice [1] and three-dimensional reconstruction of their natural behaviours [2]. The successful candidate will also be involved in the designing of the experiments. The post offers a great opportunity to work in an exciting field of neuroscience aimed at understanding sensory processing in natural unrestricted conditions. At the University of Manchester, the successful candidates will find themselves immersed in a collaborative, friendly and multidisciplinary environment with several labs working on fundamental research on sensory processing (vision, touch), memory and behaviour. The post, starting in January 2021, is for 2 years and potentially renewable for up to a total of 5 years. Informal enquiries can be made to Riccardo Storchi Tel: 0161 275 5050 Email *riccardo.storchi(a)manchester.ac.uk <riccardo.storchi(a)manchester.ac.uk>* *References: * [1] Storchi et al (2017) Neuron, 93(2):299-307. PMID: 28103478 [2] Storchi et al (2020) Current Biology, *in press*. See pre-print at: https://www.biorxiv.org/content/10.1101/2020.02.24.961565v3

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Ph.D. student position in computational neuroscience
by Tuomo Mäki-Marttunen 15 Sep '20

15 Sep '20

We are looking for a highly motivated and talented Ph.D. student to work on biophysically and biochemically detailed neuron modelling. The position is fully funded, starting Jan 1st 2021 or as mutually agreed and lasting 3-4 years. Please send your application by 25th October. *Job description* The Ph.D. student is expected to work on computational modelling of mental disorder-linked disease phenotypes and their genetic mechanisms. The student will use and extend existing biophysically and biochemically detailed neuron models to study the disease mechanisms of schizophrenia. A specific aim of the Ph.D. project is to further the mechanistic understanding of schizophrenia-associated phenotypes such as deficits in prepulse inhibition and mismatch negativity and the contribution of genes identified by psychiatric genome-wide association studies to these phenotypes. The student will be supervised by Dr. Mäki-Marttunen at Tampere University, and will be employed in the Computational Neuroscience group led by Prof. Linne. The student is expected to be involved in our collaborative research with the Norwegian University of Life Sciences and University of Oslo (Prof. Gaute Einevoll and Prof. Ole Andreassen). *Requirements* We are looking for a candidate with a strong background in scientific computing and dynamical systems, and a deep interest in molecular and cellular-level neuroscience. The candidate should hold an M.Sc. degree in physics, mathematics, computer science, or a related field and have good verbal and written communication skills in English. The candidate should be deeply motivated in obtaining a Ph.D. degree in the field of computational neuroscience. Specific skills we are looking for: -Experience in numerical solution of ordinary and partial differential equations -Python programming and other programming skills -Previous experience in neuroscience and parallel computing is a plus *We offer* The position will be filled for a fixed-term period of three (3) to four (4) years. *The starting date is 1 December 2020 or as mutually agreed. **A trial period of six (6) months applies to all our new employees.* The salary will be based on both the job requirements and the employee’s personal performance in accordance with the salary system of Finnish universities. According to the criteria applied to teaching and research staff, the position of a Doctoral Researcher is placed on level 2—4 of the job requirements scale. A typical starting salary for Doctoral Researchers is approximately 2350 - 2450 EUR/month. We offer a vibrant, English-speaking academic environment in Tampere, Finland. Tampere University is the second largest university in Finland. The project will employ local and national supercomputers needed for the simulations. The university offers a range of staff benefits, including occupational health care, flexible working hours, sports facilities, and several restaurants and cafés on campus with staff discounts. Read more about living and working in Tampere, Finland: https://www.tuni.fi/careers. For more information on Tampere, please visit https://visittampere.fi/en/. <https://visittampere.fi/en/> *How* *to* *apply* Please submit your application through our online recruitment system: https://tuni.rekrytointi.com/paikat/?o=A_A&jid=694. *The closing date for applications is 25 October 2020 (23:59 EEST (GMT+3)).* *Please write your application and all the accompanying documentation in English and attach them in PDF format.* Please attach only the following documents to your application: * A letter of motivation and description of your research interests (max. 1 A4 page) * Curriculum vitae (see, e.g., the TENK template <https://www.tenk.fi/en/template-researchers-curriculum-vitae>), including the contact details of two referees). * Transcript of records (master's degree studies). See https://tuni.rekrytointi.com/paikat/?o=A_A&jid=694 for details. *For further information, please contact:* Academy Research Fellow Tuomo Mäki-Marttunen tuomo.maki-marttunen(a)tuni.fi <mailto:tuomo.maki-marttunen@tuni.fi> Tampere University Finland

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Open 3-year postdoctoral position in the Machine Learning Group at UiT The Arctic University of Norway
by Michael Kampffmeyer 14 Sep '20

14 Sep '20

Open 3-year postdoctoral position in the Machine Learning Group at UiT The Arctic University of Norway. We are seeking a postdoctoral research fellow to take an active role in the group’s research on advancing machine learning methodology. Special emphasis will be given to candidates who have experience working with modern machine learning, deep learning and data-driven health. Experience working with unsupervised or semi-supervised methods is desired. The overarching basic research idea is to develop unsupervised and semi-supervised approaches for machine learning and deep learning. The candidate will seek to develop novel methodology for use within the applied fields of the group. This includes data-driven health (close collaboration with the University Hospital of North Norway), as well as image analysis research together with collaborating partners, in addition to industrial research. The candidate is expected to master tools such as e.g. TensorFlow and/or Pytorch. For details, please see: https://www.jobbnorge.no/en/available-jobs/job/190781/postdoctoral-research… The successful candidate will join the UiT Machine Learning Group, a vibrant group at the "north pole", with excellent national and international connections. Please contact Michael Kampffmeyer (michael.c.kampffmeyer(a)uit.no) or Robert Jenssen (Robert.jenssen(a)uit.no) for more info. Best, Michael

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Call for Abstracts - Workshop on Affective Shared Perception (WASP) - ICDL-EPIROB 2020
by Pablo Vinicius Alves De Barros 14 Sep '20

14 Sep '20

Call For Abstracts - Workshop on Affective Shared Perception (WASP) Dear all, We are delighted to invite you to submit an abstract, and to participate in our Workshop on Affective Shared Perception (WASP), hosted by the International Conference on Developmental Learning and Epigenetic Robotics (ICDL-EPIROB2020). Please find below all the information! Cheers, Pablo I. Aim and Scope Our perception of the world, in particular, the ones which are influenced by affective understanding, depends both on sensory perception and prior knowledge. Most of the current research on modeling affective behavior as computer models ground their contribution to pre-trained learning models, which are purely data-driven, or on reproducing existing human behavior. Such approaches allow for easily reproducible solutions that fail when applied to complex social scenarios. Understanding shared perception as part of the affective processing mechanisms will allow us to tackle this problem and to provide the next step towards a real-world affective computing system. The goal of this workshop is to present and discuss new findings, theories, systems, and trends in computational models of affective shared perception. The workshop will feature a multidisciplinary list of invited speakers with experience in different aspects of social interaction, which will allow a rich and diverse debate about our overarching theme of affective shared perception. The workshop is scheduled to happen on the 30th of October of 2020 virtually. It will start at 15h00 CET and it will have a total duration of 3h30min. The participation is free, and a Zoom room will be available shortly before the workshop starts. II. Registration The registration to the workshop is free, but to guarantee a place to attend the workshop, please register here: shorturl.at/ciCQX III. Potential Topics Topics include, but are not limited to: - Affective perception and learning - Affective modulation and decision making - Developmental perspectives of shared perception - Machine learning for shared perception - Bio-inspired approaches for affective shared perception - Affective processing for embodied and cognitive robots - Multisensory modeling for conflict resolution in shared perception - New psychological findings on shared perception - Assistive aspects and applications of shared affective perception IV. Invited Speakers Prof. Dr. Ginevra Castellano - Uppsala University, Sweeden Prof. Dr. Ellen Souza - Federal Rural University of Pernambuco, Brazil Prof. Dr. Yukie Nagai - The University of Tokyo, Japan V. Submission Prospective participants in the workshop are invited to submit a contribution as an abstract with a maximum of 350 words. Submission information: https://www.whisperproject.eu/wasp2020 The abstracts will be peer-reviewed by experts from all over the world. To encourage the integration with the local affective computing communities, we will allow student abstracts to be submitted in English, Spanish, and Portuguese. Each accepted abstract will be presented as a 5 min video (in English!) that will be shared on the workshop's social media. During the workshop, all the videos will be streamed and the authors will have a joint live Q/A with the audience for 60minutes. Participants can also opt-in for participating in our Frontiers Research Topic on Affective Shared Perception ( https://www.frontiersin.org/research-topics/16086/affective-shared-percepti…) The same abstract sent to the workshop can be sent as an abstract submission to the research topic. If you want to opt-in for the research topic, only English submissions will be accepted. - Abstract submission deadline: 12th of October - Notification of acceptance: 17th of October - Frontiers Research Topic Abstract Deadline: 24th of October - Video submission: 24th of October VI. Organizers Pablo Vinicius Alves De Barros, Italian Institute of Technology (IIT), Genova, Italy Alessandra Sciutti, Italian Institute of Technology (IIT), Genova, Italy ---------------------------------------- Dr. Pablo Barros Postdoctoral Researcher - CONTACT Unit Istituto Italiano di Tecnologia – Center for Human Technologies Via Enrico Melen 83, Building B 16152 Genova, Italy email: pablo.alvesdebarros(a)iit.it website: https://www.pablobarros.net<http://www.pablobarros.net><https://www.p> twitter: @PBarros_br

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Pattern Recognition in Neuroimaging Summer School Lectures
by Jozsef Arato 13 Sep '20

13 Sep '20

Dear All, The virtual summer school on Pattern Recognition in Neuroimaging at the University of Vienna is taking place this week (Sept. 14-18th). Registration is closed, but the live lectures are available free of charge, please visit our website (https://prni2020.univie.ac.at/) for more information. Keynote Speakers Peter Dayan (MPI Biological Cybernetics/Tubingen) Katharina Dobs (MIT) Romy Lorenz (Cambridge) Teaching Faculty Sebastian Tschiatschek (Uni. Vienna) Tonio Ball (Uni. Freiburg) Mate Lengyel (Cambridge/CEU) Georg Langs (Med. Uni. Wien) Alexandre Gramfort (INRIA) Moritz Grosse-Wentrup (Uni. Vienna) Manuel Zimmer (IMP Vienna) Looking forward to see you there. Jozsef Arato, PhD Program Chair, PRNI 2020 ______________________________ Vienna Cognitive Science Hub University of Vienna Liebiggase 5 (Room HE.63) 1010, Vienna <mailto:jozsef.arato@univie.ac.at> jozsef.arato(a)univie.ac.at

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Openings at the interface of Computational Neuroscience and AI
by sa474 13 Sep '20

13 Sep '20

Dear Colleagues, I would like to announce three new openings, 2 PhD candidate positions and 1 Research Assistant position, in my Lab at the Universitat Politècnica de València (UPV) in Spain, to participate in research projects related to Artificial Intelligence, Computational Cognitive Neuroscience, and their interface. Candidates for these positions are expected to have a quantitative background and strong interests in at least one of the following goals: - Apply state-of-the-art machine learning algorithms and/or neural circuit modeling to address questions in Life Sciences and Physics. - Adapt computationally efficient cognitive mechanisms into AI architectures (such as deep neural networks) aiming for more powerful learning algorithms. - Identify physiological mechanisms of brain function and dysfunction, in particular, the neural substrates of learning governing flexible, goal-directed behavior. Candidates should have a background in Computer Science, Electric Engineering, Physics, Math, Biology, or similar, and good programming skills (e.g., Python, R, Matlab, JavaScript, C++). Knowledge of dynamical systems modeling, time series analysis, machine learning and/or computational neuroscience would be an advantage. Candidates for the PhD positions should also have a Master degree, and candidates for the Research Assistant position should have a Bachelor degree, or similar. Gross salary for the PhD candidates and for the Research Assistant will be around 1400 €/month. Candidates from under-represented groups are strongly encouraged to apply. Our Lab is inclusive and committed to equity and diversity. The administrative period to apply at UPV will be from Sept 21 to Oct 2, 2020. The start date will be in November 2020. Candidates interested in these openings please contact me (Salva Ardid, E-mail: sardid at upv dot es) as soon as possible to know more about the selection process. Please provide an informal motivation letter (it can be embedded in the email body), a brief CV/resume, and the name and contact information of two referees willing to support your application with a recommendation letter. A brief note on our Lab’s location: Our group is located at the UPV campus in Gandia. Gandia is a historical, cultural, and touristic city located on the shoreline of eastern Spain, 65 km (40 mi) south of València (about 1 hour by train/car). València is the third most popular city in Spain after Barcelona and Madrid. The cost of living of València is significantly lower than that of Barcelona and Madrid (and this is even further the case for Gandia). Salva Ardid GenT Distinguished Research Group Leader Universitat Politècnica de València Paranimf 1 Edifici D, Despatx D-210 Gandia, 46730 Spain Web: https://sardid.github.io E-mail: sardid at upv dot es

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New book 'Changing Connectomes' (MIT Press)
by Marcus Kaiser 12 Sep '20

12 Sep '20

Dear all, My book on Connectome organization and development has now been published. The book gives an up-to-date overview of the field of connectomics, introducing concepts and mechanisms underlying brain network change at different stages. >From the synopsis: “This book provides an overview of network features of the brain, how these features emerge during evolution and brain development, and how alterations ranging from normal aging to developmental and neurodegenerative disorders affect brain networks. By including an introduction to concepts of network analysis, it will also be accessible to researchers who are new to the field of connectomics. Finally, through Matlab code examples, it will allow researchers to understand and extend the shown mechanisms of connectome development.” In case you're interested, the book is on sale on with Amazon and other booksellers: Amazon USA: https://t.co/ju0gtVANOQ Amazon UK: https://t.co/Oqqiu0tG4r Amazon Germany: https://t.co/JuvIfhSNfc Other booksellers: https://mitpress.mit.edu/books/changing-connectomes Best, Marcus -- Marcus Kaiser, Ph.D. FRSB @ConnectomeLab Professor of Neuroinformatics Interdisciplinary Computing and Complex Biosystems (ICOS) Research Group, School of Computing, Newcastle University, UK Guanci Visiting Professor Shanghai Jiao Tong University, Rui Jin Hospital, Functional Neurosurgery Unit, China Book: Changing Connectomes https://mitpress.mit.edu/books/changing-connectomes Lab website: http://www.dynamic-connectome.org/ Neuroinformatics UK: http://www.neuroinformatics.org.uk/

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Ph.D. Position: Theoretical models of adaptive signal processing and learning mechanisms in dendritic trees
by Tetzlaff, Christian 11 Sep '20

11 Sep '20

Dear all, The Third Institute of Physics - Biophysics at the Georg-August-Universität Göttingen invites applications for a Ph.D. position German Salary Scale TV-L E13, 66% (of 39.8 weekly hours) for 3 years. The successful candidate will be part of an international research project aiming to extend the existing theories for adaptive signal processing and learning mechanisms in dendritic trees and possible technological applications thereof. The position should be filled by 1st of November or soon thereafter. This post is designed to foster young researchers and give the successful applicant the opportunity to pursue a doctoral degree. The position will be affiliated with the groups of Dr. Christian Tetzlaff and Prof. Florentin Wörgötter, who are investigating the emergence of complex behavior from the interplay of diverse neuronal and synaptic processes of neuronal networks (see, e.g., Tetzlaff et al., 2015, Scientific Reports; Li et al., 2016, PLoS One). The aim of the research project is to deepen our understanding of adaptive dendritic processing and uncover methods for employing these mechanisms in technological and machine learning applications. Suitable candidates should hold a Master degree in Physics or Computer Science preferably with some additional experiences in Computational Neuroscience and Machine Learning. We expect excellent mathematical and coding skills (e.g., Python, Matlab, C++) as well as skills in scientific communication (including proficiency in English). The candidate should be curious, highly motivated, self-organized, and show a keen interest to work within the connection between two lively research teams and to perform leading-edge research. The Göttingen Campus is a leading center of neuroscience in Europe hosting numerous internationally renowned research institutions, including the University and its Medical Center, the three life science Max Planck Institutes, the European Neuroscience Institute, the German Primate Center, and the Bernstein Center for Computational Neuroscience (BCCN) Göttingen. The University of Göttingen is an equal opportunities employer and places particular emphasis on fostering career opportunities for women. Qualified women are therefore strongly encouraged to apply in fields in which they are underrepresented. The university has committed itself to being a family-friendly institution and supports their employees in balancing work and family life. The mission of the University is to employ a greater number of severely disabled persons. Applications from severely disabled persons with equivalent qualifications will be given preference. Please send your e-mail application, preferably in one single PDF-document, including a letter of interest, your curriculum vitae, copies of your certificates and contact information of at least two references until 4th of October to Dr. Christian Tetzlaff, e-mail: tetzlaff(a)phys.uni-goettingen.de<mailto:tetzlaff@phys.uni-goettingen.de>. Please see the job advertisement using the following link: https://www.uni-goettingen.de/de/305402.html?cid=15185. ---------------------------------------------------------------------- Dr. Christian Tetzlaff Junior Research Group Leader Bernstein Center for Computational Neuroscience Third Institute of Physics - Biophysics Georg-August University Friedrich-Hund Platz 1 37077 Göttingen Phone: +49 (0)551 39 26 932 E-Mail: tetzlaff(a)phys.uni-goettingen.de<mailto:tetzlaff@phys.uni-goettingen.de>

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