- Comp-neuro - lists.cnsorg.org

Research Associate in the Open Source Brain project, University College London
by Gleeson, Padraig 09 Dec '19

09 Dec '19

(Apologies for cross postings) The Silver lab (http://silverlab.org) at University College London is looking to hire a postdoc/research associate to work on a project to extend the functionality of the Open Source Brain platform (http://www.opensourcebrain.org, Gleeson et al. Neuron 2019) to support the sharing of standardised experimental neuroscience data alongside neuronal models. This will involve building web-based infrastructure and the curation and standardisation of neuroscience models (in NeuroML format) and data (in Neurodata Without Borders format). This will facilitate collaborative model development and model reuse by the community as well as enable interactive display and analysis of models and neuroscience data through the browser. A PhD in neuroscience, physics, computer science or a related field is required, as well as experience in computational neuroscience, neuroinformatics, or development of analysis pipelines for electrophysiology and imaging data. A strong foundation in computer programming, with strong competencies in data structures, algorithms and software design is essential, along with demonstrable knowledge of UNIX/Linux, experience of web development technologies and Python and/or JavaScript programming experience. The successful applicant will have the opportunity to fully participate in the academic activities related to this initiative including contributing to research and attending scientific conferences. Deadline for applications is 3rd Jan 2020. The post is funded for 2 years in the first instance. Full details can be found here<https://atsv7.wcn.co.uk/search_engine/jobs.cgi?owner=5041179&ownertype=fair…>. For informal enquiries, please contact p.gleeson(a)ucl.ac.uk<mailto:p.gleeson@ucl.ac.uk> ----------------------------------------------------- Padraig Gleeson Room 321, Anatomy Building Department of Neuroscience, Physiology& Pharmacology University College London Gower Street London WC1E 6BT United Kingdom +44 207 679 3214 p.gleeson(a)ucl.ac.uk<mailto:p.gleeson@ucl.ac.uk> -----------------------------------------------------

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Workshop on Modelling Consciousness
by Xerxes D. Arsiwalla 09 Dec '19

09 Dec '19

Dear Computational Neuroscience Community, We would like to announce a workshop on formal approaches to consciousness studies: https://modelling-consciousness.org/ This workshop brings together researchers who have a deep interest in questions related to the scientific study of consciousness as well as background in formal research topics in order to discuss mathematical questions in the scientific study of consciousness and formal models of the mind-matter relation. The workshop takes place in a mountain cabin in the Austrian alps in Dorfgastein from March 21st to 28th, 2020. Unlike usual workshops and conferences, the focus is not placed upon presentation of recent results, but on creating an atmosphere that stimulates discussion of open questions and new ideas concerning models of consciousness. The workshop is aimed at researchers of any age who are interested in the problems discussed in contemporary consciousness studies. A background in mathematics, physics or other formal disciplines of sciences is appreciated. The deadline for applications is January 31st, 2020. Application details can be found on our website given above. Best wishes on behalf of the workshop organizing committee, Xerxes D. Arsiwalla (IBEC & Universitat Pompeu Fabra) Ian Durham (Saint Anselm College) Johannes Kleiner Giovanni Rabuffo (University of Aix-Marseille) Joanna Szczotka (University of Sussex & Jagiellonian University) Sean Tull (Cambridge Quantum Computing)

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PhD position in Computational and Mathematical Neuroscience: Drug Discovery
by Serafim Rodrigues 08 Dec '19

08 Dec '19

*This position encourages students in Engineering, Mathematics, Physics (or Biophysics) or Computer Science to apply.* We are seeking students that are highly motivated to pursue a PhD project that interfaces several fields, including Neuroscience, Computer Science, Biophysics with the aim to screen new drugs against Alzheimer’s Disease. The project will employ advanced methods in computer science (e.g. machine learning, molecular simulations) and other advanced methods from mathematics and biophysics to develop drugs with high therapeutic efficacy against identified pathways in Alzheimer’s patients. The project will be developed at BCAM (Basque Centre for Applied Mathematics) in Bilbao in collaboration with several centres in France, Canada and Singapore. Candidate’s requirements: - Should have completed an MSc. - The following background knowledge are desirable - Programming. - Mathematics. - Biophysics. Interested students, please contact srodrigues(a)bcamath.org

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Fwd: PhD and postdoctoral positions, University of Utah
by Alla Borisyuk 06 Dec '19

06 Dec '19

Postdoctoral and PhD student positions are available at the University of Utah (Salt Lake City, USA) in the Computational Neuroscience group of Dr. Alla Borisyuk. Dr Borisyuk is affiliated with both Department of Mathematics and the Neuroscience program. Depending on the background of the trainee the placement might be possible in either program. Current projects include: - A mutiscale study of the role of astrocytes in neural networks; - Elucidating the odor coding and connectivity in mammalian and insect olfactory systems. All projects are in collaboration with local experimental neuroscience labs. We have dynamic, active, student-centered and supportive environment, with a multitude of opportunities for trainees to get involved in. Outside of the academics - the outdoor recreational opportunities (National parks, skiing, hiking, climbing) all around us in Utah are unparalleled. Salt Lake City is the center of a metropolitan area with a population of approximately one million residents, has extensive arts and cultural activities, and has a major international airport with a Delta Airlines hub and direct flights to most U.S. cities and direct international flights to Paris, London, Amsterdam, and Mexico City. The area has received international recognition for its new light rail system, foodie culture, downtown renewal, and increasing diversity. For project and position details and other inquiries please contact Alla Borisyuk: borisyuk(a)math.utah.edu Screening of candidates is ongoing, do not delay with your application!

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Post-doctoral Researcher - Statistical machine learning of neural time-series data and mechanisms of network coordination
by Kirst, Christoph 06 Dec '19

06 Dec '19

Dear computational neuroscience community, The Kirst lab at UCSF<https://neurograd.ucsf.edu/people/christoph-kirst-phd-ms-bs> and the Bouchard lab at LBNL/UC Berkeley<https://bouchardlab.lbl.gov/> are looking for a joint post-doctoral researcher to work at the interface of dynamical systems, statistical machine learning, and neural time-series data. The goal is to better understand mechanisms underlying flexible network coordination in the brain. This position will focus on developing and applying methods to analyze neurophysiological signals from diverse brain areas.The post-doc will advance the state of the art in analysis methods to characterize brain dynamics and understand distributed computations in diverse brains areas. State-space modeling approaches will be integrated with emerging unsupervised learning and supervised inference procedures. This position will include a strong collaboration with both basic and clinical neuroscience labs across UCSF, UC Berkeley, and LBNL. The position is located at the University of California, San Francisco (UCSF) and LawrenceBerkeley National Laboratory (LBNL), and is part of a broader collaborative effort between UCSF, LBNL, and UCB. This Bay Area collaboration combines UCSF's strong clinical and experimental neuroscience experience with in vivo cortical electrophysiology, UCB's expertise in theoretical neuroscience, statistical learning and data analysis, and LBNL's supercomputing and applied mathematics together with electronics and microfabrication.Successful applicants will have access to the full range of facilities andexpertise uniquely allowed by this collaboration. The position has significant flexibility and the lab is committed to the professional development of the members, making it valuable preparation for people who are interested in academic, industrial or entrepreneurial careers. The position has no mandatory teaching or administrative duties, but the successful candidate will take an active role in mentoring students and further developing the research program. Excellent (written and oral) communication skills in English are required. The start date is flexible but ideally would be in June of 2020. Compensation will be commensurate with relevant experience. UCSF has competitive benefits and is an equal opportunity employer. UCSF is located in the Bay Area, which is one of the fastest-growing neurobiology-neurotechnology centers in the United States. The Bay Area offers a wide range of opportunities for recreation, culture, and easy access to domestic and international transportation. Applicants should have aPh.D. (or equivalent degree) in a computational oriented field (e.g., physics, computer science, electrical engineering, data science, etc.,) and/or a track record of advanced data statistical analysis of neural time-series data. Applicants must be able to work in a collaborative, multi-disciplinary environment and exhibit good communication skills. Experience with scientific programing languages (e.g., C/C++,Python, Matlab) is also required. To apply, please submit a CV and three letters of reference to: christoph.kirst(a)ucsf.edu and kebouchard(a)lbl.gov Yours sincerely, Christoph Kirst and Kristofer Bouchard

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Ph.D. positions in Math Biology and Computational Neuroscience at NJIT
by Victor Matveev 06 Dec '19

06 Dec '19

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, 2019 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 to:misieg@njit.edu, matveev(a)njit.edu) PhD Program advertisement flyer is available at 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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Groningen Spring School on Cognitive Modeling: March 30 to April 3, 2020
by Jelmer Borst 05 Dec '19

05 Dec '19

Fifth Groningen Spring School on Cognitive Modeling – ACT-R, Nengo, PRIMs, error-driven learning, and dynamical systems. – Date: March 30 to April 3, 2020 Location: Groningen, the Netherlands Fee: € 250 (late fee after February 15 will be € 300) More information and registration: www.cognitive-modeling.com/springschool <http://www.cognitive-modeling.com/springschool> We are happy to announce the fifth Groningen Spring School on Cognitive Modeling (March 30 to April 3, 2020). This year, the Spring School will again cover four different modeling paradigms: ACT-R, Nengo, PRIMs, and error-driven learning. It thereby offers a unique opportunity to learn the relative strengths and weaknesses of these approaches. Moreover, this year we are offering a lecture series on dynamical systems, which should be interesting for anyone looking into modeling cognitive dynamics at some level of abstraction. We recommend this lecture series as an excellent combination with Nengo, for those interested in neuromorphic computing. The first day will provide an introduction to all five topics. From day two, spring school students will be asked to commit to one topic, for which they will attend lectures as well as tutorials. In addition, students can sign up for a second topic, for which they will attend lectures only. All students are invited to join a series of plenary research talks on the different paradigms. On the first day, spring school students are asked to introduce themselves and their research interests in a poster session. Registration is now open. For more information and registration, please see the website: www.cognitive-modeling.com/springschool <http://www.cognitive-modeling.com/springschool> Please feel free to forward the information to anyone who might be interested in the Spring School. We are looking forward to welcoming you in Groningen, The Spring School team ______________ ACT-R Teachers: Jelmer Borst, Maarten van der Velde, Stephen Jones, & Katja Mehlhorn (University of Groningen) Website: http://act-r.psy.cmu.edu <http://act-r.psy.cmu.edu/>. ACT-R is a high-level cognitive theory and simulation system for developing cognitive models for tasks that vary from simple reaction time experiments to driving a car, learning algebra, and air traffic control. ACT-R can be used to develop process models of a task at a symbolic level. Participants will follow a compressed five-day version of the traditional summer school curriculum. We will also cover the connection between ACT-R and fMRI. Nengo Teacher: Terry Stewart (University of Waterloo) Website: http://www.nengo.ca <http://www.nengo.ca/> Nengo is a toolkit for converting high-level cognitive theories into low-level spiking neuron implementations. In this way, aspects of model performance such as response accuracy and reaction times emerge as a consequence of neural parameters such as the neurotransmitter time constants. It has been used to model adaptive motor control, visual attention, serial list memory, reinforcement learning, Tower of Hanoi, and fluid intelligence. Participants will learn to construct these kinds of models, starting with generic tasks like representing values and positions, and ending with full production-like systems. There will also be special emphasis on extracting various forms of data out of a model, such that it can be compared to experimental data. PRIMs Teacher: Niels Taatgen (University of Groningen) Website: https://www.ai.rug.nl/~niels/prims/index.html <https://www.ai.rug.nl/~niels/prims/index.html> How do people handle and prioritize multiple tasks? How can we learn something in the context of one task, and partially benefit from it in another task? The goal of PRIMs is to cross the artificial boundary that most cognitive architectures have imposed on themselves by studying single tasks. It has mechanisms to model transfer of cognitive skills, and the competition between multiple goals. In the tutorial we will look at how PRIMs can model phenomena of cognitive transfer and cognitive training, and how multiple goals compete for priority in models of distraction. Error-driven learning Teachers: Jacolien van Rij and Dorothée Hoppe (University of Groningen) Error-driven learning (also called discrimination learning) allows to simulate the time course of learning. It is based on the Rescorla-Wagner model (Rescorla & Wagner, 1972) for animal cognition, which assumes that learning is driven by expectation error, instead of behaviorist association (Rescorla, 1988). The equations formulated by Rescorla and Wagner have been used to investigate different aspects of cognition, including language acquisition (e.g., Hsu, Chater, and Vitányi, 2011; St. Clair, Monaghan, and Ramscar, 2009), second language learning (Ellis, 2006), and reading of complex words (Baayen et al, 2011). Although error-driven learning can be applied for all domains in cognitive science, in this course we will focus on how it could be used for modeling language processing and language learning. Dynamical Systems: a Navigation Guide Teacher: Herbert Jaeger (University of Groningen) This lecture-series gives a broad overview over the zillions of formal models and methods invented by mathematicians and physicists for describing “dynamical systems”. Here is a list of covered items: Finite-state automata with and without input, deterministic and non-deterministic, probabilistic), hidden Markov models and partially observable Markov decision processes, cellular automata, dynamical Bayesian networks, iterated function systems, ordinary differential equations, stochastic differential equations, delay differential equations, partial differential equations, (neural) field equations, Takens’ theorem, the engineering view on “signals”, describing sequential data by grammars, Chomsky hierarchy, exponential and power-law long-range interactions, attractors, structural stability, bifurcations, phase transitions, topological dynamics, nonautonomous attractor concepts. In the lectures, I try to work out the underlying connecting lines between the “dots” listed above. -- Jelmer Borst Assistant Professor Model-Based & Computational Neuroscience University of Groningen, Bernoulli Institute, dept. of Artificial Intelligence http://www.jelmerborst.nl/

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Postdoctoral positions, Brown University (Truccolo Lab)
by Wilson Truccolo 03 Dec '19

03 Dec '19

Applications for postdoctoral positions in Computational Neuroscience are invited for the laboratory of Dr. Wilson Truccolo in the Department of Neuroscience at Brown University, Providence, RI, USA. The positions are for the development of theoretical and data-driven stochastic models of neuronal network dynamics, including applications to collective dynamics in normal neocortex, and propagation and control of epileptic seizures. Neural data consist of recordings of ensembles of single-neurons and high-density local field potentials obtained via multiple intracortical microelectrode arrays implanted in human and nonhuman primates. The ideal candidate will have a strong background in computational/theoretical neuroscience, and modeling of stochastic neural dynamics. Related publications can be found on the Truccolo lab website ( http://www.truccololab.com/) Inquiries should be addressed to Dr. Truccolo (wilson_truccolo(a)brown.edu) Applications including a CV, statement of research interests, and the names and full contact details of three referees should be sent to wilson_truccolo(a)brown.edu. -- Wilson Truccolo, Ph.D. Associate Professor of Neuroscience Department of Neuroscience & Carney Institute for Brain Science, Brown University Lab website: http://www.truccololab.com/

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Neuroscience PhD Program, Tuebingen: deadline 15th Dec
by Peter Dayan 03 Dec '19

03 Dec '19

The Max Planck Institute for Biological Cybernetics and the University of Tübingen invite students from all over the world to apply for their interdisciplinary 5-year PhD program leading to a PhD in Neuroscience. Full funding 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 December 15, 2019. Please visit: https://www.kyb.tuebingen.mpg.de/phd-program for more details and information about applying. The PhD program is a collaboration between the Max Planck Institute for Biological Cybernetics 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 2020) 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.

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Single Units and Human iEEG Meeting - April 1-3, 2020 - Birmingham UK
by MJ ter Wal 02 Dec '19

02 Dec '19

Dear colleagues, We are very happy to announce registration and abstract submissions are open for SUsHi 2020! The Single Units and Human iEEG Meeting (SUsHi), taking place in Birmingham, UK, from 1st – 3rd April 2020, will bring together Cognitive Neuroscientists working with human single unit and/or LFP recordings. The three day event will comprise of a small workshop followed by a two-day traditional conference, hosted at the University of Birmingham. SUsHi will bring together researchers who work with these rich and complex datasets, with the aim to discuss the appropriate methods for data analysis, hands-on training for researchers who are new to these methods, and a discussion of the latest scientific progress in the field. This three day event includes a spike sorting workshop for early career researchers (sold out), panel discussions, poster sessions and the chance to take part in a Method Challenge prior to the conference. We have exciting Keynote Presentations from Prof. Florian Mormann, Dr Leila Reddy, Dr Ueli Rutishauser and Prof. Rodrigo Quian Quiroga. You can *register *here: https://shop.bham.ac.uk/conferences-and-events/college-of-medical-dental-sc… submit *abstracts *here: https://memorybham.squarespace.com/abstract-submission and find out more about our *Method Challenge* here: https://memorybham.squarespace.com/method-challenge * * *Important deadlines:* 15th January – Abstract and Method Challenge Submissions 16th March – Registration Kind regards, Dr Simon Hanslmayr, Dr Bernhard Staresina and Dr Maria Wimber SUsHi Organisers SUsHi(a)contacts.bham.ac.uk https://memorybham.squarespace.com/sushi2020 <mailto:SUsHi@contacts.bham.ac.uk>

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Postdoctoral Fellowships at the Computational Brain Science group at Western University
by Jorn Diedrichsen 02 Dec '19

02 Dec '19

Postdoctoral Fellowships at the Computational Brain Science group at Western University The newly formed Computational Brain Sciences Group<https://brainscan.uwo.ca/research/cores/computational_core/index.html> at Western University offers postdoctoral positions through Western’s prestigious BrainsCAN postdoctoral fellowship program<https://brainscan.uwo.ca/research/cores/computational_core/postdoctoral_and…>. Applicants should have a PhD in a computational or neuroscience-related field. Candidates with expertise in both are strongly preferred. The successful applicant will play a key role in neuroimaging and computational investigations of human brain function. They will enjoy working as part of an interdisciplinary collaborative team and will join the Brain and Mind Institute<https://www.uwo.ca/bmi/> (BMI), which is one of the leading centres in cognitive neuroscience in Canada. The BMI hosts a full range of ultra-high field, research-dedicated MRI scanners and state-of-the-art research facilities for cognitive, behavioural, and neurophysiological testing. The applicant should contact one or more potential supervisors<https://brainscan.uwo.ca/research/cores/computational_core/affiliated_labs.…> with a cover letter, a detailed CV and 2-3 referees. Review of applicants will start on Dec 15, 2019. The deadline for submitting the final proposal is Feb 1st, 2020. In brief, applicants must be no more than 6 years post-PhD and the salaries are highly competitive (55-70K per year, CDN, with additional benefits). The proposed research should fit within the broad BrainsCAN remit, which covers research that addresses fundamental questions regarding how we learn, think, move, and communicate. Jörn Diedrichsen Western Research Chair Brain Mind Institute Department of Computer Science Department of Statistics Email: jdiedric(a)uwo.ca<mailto:jdiedric@uwo.ca> Tel: 1-519-661-2111 x86994

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Postdoc in computational neuroimaging
by Vuksanovic, Vesna 02 Dec '19

02 Dec '19

Dear List The following link contains details of a postdoc vacancy at University of Aberdeen in understanding of multi-modal MRI brain data to develop a network approach in understanding changes in brain structure and functions in patients with Alzheimer's disease: https://www.jobs.ac.uk/job/BWR950/research-fellow Please forward the link, if you know of some potential candidates. Many thanks, Vesna The University of Aberdeen is a charity registered in Scotland, No SC013683. Tha Oilthigh Obar Dheathain na charthannas clàraichte ann an Alba, Àir. SC013683.

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Dynamics Days XL: Nice, France, 24- 28 August 2020
by Mathieu Desroches 29 Nov '19

29 Nov '19

We are pleased to invite you to the 40th Dynamics Days Europe Conference, which will be held in Nice, France, on the 24-28 August 2020. Dynamic Days Europe is a major international conferences providing a forum for developments in the applications of and theory for dynamics. The themes of the meetings include Physics, Biology, Theoretical Dynamical Systems, Complex Systems, and Numerical Methods. The list of plenary speakers include: * Sylvain Crovisier (Université Paris-Sud) * Bard Ermentrout (University of Pittsburgh) * Veronica Grieneisen (Cardiff University) * Björn Hof (IST Austria) * Chris Jones (University of North Carolina at Chapel Hill) * Alejandro Maass (University of Chile) * Antonio Politi (University of Aberdeen) * Katharina Schratz (Heriot-Watt University) * Anna von der Heydt (Universiteit Utrecht) * Lai-Sang Young (Courant Institute of Mathematical Sciences New York University) All information regarding the conference will be published on our website https://dynamicsdays2020.univ-cotedazur.fr <https://dynamicsdays2020.univ-cotedazur.fr/> We are currently soliciting Minisymposia proposals (deadline on the 20th of December 2019), which can be submitted on our website, or by filling out this form https://dynamicsdays2020.univ-cotedazur.fr/Minisymposium_proposal/ <https://dynamicsdays2020.univ-cotedazur.fr/Minisymposium_proposal/> We invite you to follow us on Twitter @dyndays_2020, and to use the hashtag #DDaysXL. Please disseminate this advert to potential participants. We look forward to hosting you in Nice! The organising committee: Daniele Avitabile, Stéphane Barland, Mathieu Desroches, François Gautero, Sergey Nazarenko, Elisabeth Pécou

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PhD position in computational neuroscience/brain physics in Oslo Norway
by Gaute Einevoll 28 Nov '19

28 Nov '19

PhD-position in Computational Neuroscience/Brain Physics in Oslo, Norway Applications are invited for a position as PhD Research Fellow available at the Department of Biosciences in the research group of Professors Gaute Einevoll and Marianne Fyhn at CINPLA. The position is funded by the UiO:Life Science Initiative, Convergence Environments to the project ”MultiModal Mental Models: converging approaches from genomes to mental illness and interplay with psychosocial stressors (4MENT)”<https://www.uio.no/english/research/strategic-research-areas/life-science/r…>. The successful candidate will work on model-based exploration of cortical neuron and neural network models, in particular effects of genetic variants on neural functions. The modeling work will be carried out in collaboration with statistical geneticists as well as researchers working with stem cells and brain imaging. The goal of the project is to build models for mental phenotypes that are relevant in schizophrenia and bipolar disorder. The candidate will work in the cross-disciplinary environment Center for Integrative Neuroplasticity (cinpla.org) a research center set up by the Faculty of Mathematics and Natural Sciences. Presently, CINPLA includes about twenty biologists, physicists, and computer scientists co-localised in the building of Department of Biosciences at UiO. The candidate will develop and use state-of-the-art computer simulation packages and national supercomputer resources. The fellowships will be for a period of 3 years, with no compulsory work, or for a period of 4 years, with 25 % compulsory work at the UiO:LifeScience. Anticipated start date is Winter/Spring 2020. The research fellow must take part in the Faculty’s appproved PhD program and is expected to complete the project within the set fellowship period. Requirements: * Master’s degree in physics, mathematics, or computer science. The Master thesis should preferably have been done within computational neuroscience, but also candidates with master projects in other branches of computational science may be considered. * Foreign completed degree (M.Sc.-level) corresponding to a minimum of four years in the Norwegian educational system. * The candidate must have demonstrated strong skills in developing codes for scientific computing. * A good command of English is required. For more information, including on how to apply, see: https://www.jobbnorge.no/en/available-jobs/job/178653/phd-research-fellowsh… Deadline for application: December 18th 2019 For questions, please contact professor Gaute T. Einevoll, gaute.einevoll(a)fys.uio.no. ********************************************** Professor Gaute T. Einevoll Faculty of Science and Technology Norwegian University of Life Sciences, 1432 Aas, Norway; Department of Physics, University of Oslo, Oslo, Norway Ph. +47-64965433, Mobile: +47-95124536 email: Gaute.Einevoll(a)nmbu.no, web: compneuro.nmbu.no, cinpla.org

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Call for Paper: [Information] Special Issue--"Advances in Mobile Gaming and Games-based Leaning" （More than 15 scholars agreed to submit）
by Blink Yu 27 Nov '19

27 Nov '19

Special Issue: Advances in Mobile Gaming and Games-based Leaning Deadline for manuscript submissions: 31 January 2020 Website and Planned Papers:https://www.mdpi.com/journal/information/special_issues/MobileGaming… Guest Editor: Dr. Antonio Coelho Faculdade de Engenharia, Universidade do Porto, 4200-465 Porto, Portugal Dr. Carlos Vaz de Carvalho Instituto Superior de Engenharia do Porto, Instituto Polit?cnico do Porto, 4200-072 Porto, Portugal ======================= Dear Colleagues, We cordially invite you to submit a manuscript for consideration and possible publication in a Special Issue on "Advances in Mobile Gaming and Games-based Leaning" to be published in an EI, ESCI and Scopus-indexed open access journal Information (http://www.mdpi.com/journal/information) The submission manuscript deadline is 31 January 2020. For more details, please visit the website: https://www.mdpi.com/journal/information/special_issues/MobileGaming_Gamesb… You may share this invitation with your team members and colleagues; co-authors are most welcome. Please let me know within a month or as soon as possible if you and your colleagues are interested in submitting a manuscript for this special issue. If more time is needed, please feel free to tell us (information(a)mdpi.com) Your contribution would be most welcome. Information is fully open access. Open access (unlimited and free access by readers) increases publicity and promotes more frequent citations, as indicated by several studies. Open access is supported by the authors and their institutes. An Article Processing Charge (APC) of CHF 1000 currently applies to all accepted papers. You may be entitled to a discount if you have previously received a discount code or if your institute is participating in the MDPI Institutional Open Access Program (IOAP), for more information see: http://www.mdpi.com/about/ioap. For further details on the submission process, please see the instructions for authors at the journal website (http://www.mdpi.com/journal/information/instructions) We hope this topic is of interest to you and look forward to collaborating with you in the near future. Kind regards, Blink Yu Section Managing Editor --- Dear Colleagues, Education is evolving to overcome new challenges related to the unique competencies of the professionals of the future and the requirements of a new generation that is immersed in the digital media world from birth. Digital Games is one of the media that have the potential to reach these two objectives. Game-based learning is the scientific area that focuses on the development of games that are designed over specific learning objectives. From thoroughly crafted educational games to the use of gamification, the new era of the school will be digital. However, we should not forget tangential learning with the use of entertainment games. Mobile games are also leveraging a large community of gamers that relies on the specifics of mobile technology, such as ubiquity and pervasiveness. The solutions can leverage informal learning, literacy, science communication, and citizenship, among a vast area of applications. The aim of this Special Issue is to disclose the new advances in game-based learning and mobile games that can enhance the effectiveness and outreach of learning objects. Topics of interest include but are not limited to the following: Game-based learning; Serious games; Mobile games; Pervasive games; Learning models and practices with the use of games; New technologies for game-based learning: Virtual and augmented reality; New interaction devices, toys, and playthings; Simulations; 3D rendering technologies; Game engines and development tools; Location-based games; Artificial intelligence; Educational games analytics; Assessment and evaluation of educational games; User experience design; The psychology of educational games; Gender and age issues; Social and collaborative games; Security and confidentiality in educational games; Case studies in educational games; Game development for mobile devices. Dr. Antonio Coelho Dr. Carlos Vaz de Carvalho Guest Editors -- Mr. Blink Yu Managing Editor E-Mail: blink.yu(a)mdpi.com Skype: live:c91693ac8277e1f0 -- MDPI Wuhan Office No.6 Jingan Road, 430064 Wuhan, China MDPI Postfach, CH-4020 Basel, Switzerland http://www.mdpi.com -- Disclaimer: MDPI recognizes the importance of data privacy and protection. We treat personal data in line with the General Data Protection Regulation (GDPR) and with what the community expects of us. The information contained in this message is confidential and intended solely for the use of the individual or entity to whom they are addressed. If you have received this message in error, please notify me and delete this message from your system. You may not copy this message in its entirety or in part, or disclose its contents to anyone.

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Research Fellow in Deep Reinforcement Learning for Machine Theory of Mind @ Oxford Brookes
by Fabio Cuzzolin 26 Nov '19

26 Nov '19

The Visual Artificial Intelligence Laboratory at Oxford Brookes University, led by Professor Fabio Cuzzolin, is seeking a Research Fellow in Deep Reinforcement Learning for Machine Theory of Mind, to be appointed asap, on a 30-month contract. The deadline for application is 16th December 2019. Salary: £31,866 rising annually to £34,804. The Research Fellow will lead the Lab’s efforts within the Leverhulme Trust-funded Research Project Grant “Theory of mind at the interface of neuroscience and AI”, in partnership with Prof Barbara Sahakian of the Department of Psychiatry of the University of Cambridge, a leading figure in the field of Clinical Neuropsychology and the President of the International Neuroethics Society ( https://www.bcni.psychol.cam.ac.uk/directory/barbara-sahakian) The project aims to provide machines with ‘theory of mind’ capabilities, i.e., the ability to guess the reasoning processes and intentions of other intelligent agents. It will explore the possibility of creating flexible theory of mind simulations based on the concept of reconfigurable deep networks, trained in a reinforcement learning setting, as well as refine and test new cognitive models for these functionalities in the human brain. Similarities and differences with inverse reinforcement learning will also be investigated. The Visual Artificial Intelligence Laboratory ( http://cms.brookes.ac.uk/staff/FabioCuzzolin/) is of the top research groups in the world in deep learning for action detection, and is heavily investing in the topic of predicting future behaviour and events. The team designed in 2017 the first system yet able to localise multiple actions on the image plane in real time, and our algorithms regularly compete for the best detection accuracies. Former PhD students have moved on to postdoc positions at Oxford, Stanford and ETH Zurich. The Laboratory is currently running on a budget of almost £2 million, with seven live funded projects spanning computer vision, machine learning, general AI, autonomous driving, surgical and mobile robotics, AI for healthcare, decision making and uncertainty theory. We are also significantly involved in the new £1.9 Oxford Brookes AI Incubator (AIDA), and in the University’s Ethical AI Institute. For an overview of our research themes and projects, please consult http://cms.brookes.ac.uk/staff/FabioCuzzolin/files/VAIL.pdf You will join a vibrant and fast growing team projected to comprise 25+ people in 2019-20. You will be working on a network of cutting edge 4-GPU and 8-GPU workstations. The Lab collaborates with various companies including Huawei, Leonardo, Cisco, Ocado, Cortexica and Oxbotica, and is in the process of spinning off a company in the area of action detection. We closely work with Cambridge University’s Neuroscience, as well as Oxford University’s Engineering and Computer Science Departments, and have established links with IIT Bombay, Harvard, Seoul National, the Fraunhofer Institute, and numerous other European partners. You are encouraged to contact Prof Cuzzolin at fabio.cuzzolin(a)brookes.ac.uk for more information and informal feedback on your application. To formally apply, please follow the instructions provided here: https://www.jobs.ac.uk/job/BWZ564/research-fellow-in-reinforcement-learning…

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Director search for SCI Institute, University of Utah
by Rob MacLeod 25 Nov '19

25 Nov '19

The University of Utah seeks applications for the Director of the Scientific Computing and Imaging (SCI) Institute <http://www.sci.utah.edu/> The University of Utah is a Carnegie Research I Institution and member of the Association of American Universities (AAU); the SCI Institute is a trans-college, research-focused partnering entity at the University of Utah consisting of faculty from 4 academic departments (School of Computing, Biomedical Engineering, Electrical Engineering, and Mathematics) and 2 colleges, students, and staff (185 current personnel). The SCI Institute’s vision is to see applied computing bring transformation across disciplines in a way that benefits the University of Utah and society at large. Its mission is to bring together excellence in diverse domains applied to multidisciplinary and interdisciplinary problems of societal importance. The Institute accomplishes these goals through the collaborative development, assembly, and/or application of applied scientific and data computing, imaging, and visualization tools. Over more than two decades, the SCI Institute <http://www.sci.utah.edu/> has established itself as an internationally recognized leader in visualization, scientific and biomedical computing, and image analysis applied to a broad range of challenging problems. For example, the SCI Institute is ranked by CSRankings (http://csrankings.org <http://csrankings.org/>) as housing the top visualization group internationally. Alongside its research goals is a passion to educate students and staff. The SCI Institute is proud to have supported over 400 graduate students and postdoctoral fellows and nearly 100 undergraduates to achieve an education at the cutting-edge of research. SCI graduates move into faculty positions with universities internationally and also become innovators with companies such as Apple, Exxon Mobil, Nvidia, Google, Intel, Boston Scientific, Orthogrid, Philips Medical, and Medtronic. Additional information about the Institute and current faculty can be found at scidirectorsearch.sci.utah.edu <http://scidirectorsearch.sci.utah.edu/> For more information, please contact Rob MacLeod (macleod(a)sci.utah.edu <mailto:macleod@sci.utah.edu>)

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Postdoc position: Institute of Neuroinformatics, ETH and UZH Zurich
by Hazem Toutounji 25 Nov '19

25 Nov '19

We seek a postdoctoral researcher with deep interest in human reinforcement learning and decision-making to work on the newly funded project: *Learning and Exploration under Perceptual and Value Uncertainty* Organisms often face the challenge of navigating a world riddled with many sources of uncertainty, be it ambiguous sensory inputs or unreliable behavioral outcomes. Most existing research only considered either of these two sources of uncertainty in the contexts of perceptual decision making for the former, and reinforcement learning and value-based decision making for the latter. The goal of the project is to develop a unifying experimental and theoretical account of human adaptive behavior subject to both perceptual and value uncertainty. The post of 1-year is at the Institute of Neuroinformatics (ini.uzh.ch <http://www.ini.uzh.ch>) of the University of Zurich and ETH Zurich, in close collaboration with Rafael Polania’s Decision Neuroscience Lab ( decision.ethz.ch <http://www.decision.ethz.ch>). *Preferable starting date:* February 1st, 2020. The post involves psychophysics and data-driven computational modelling. Candidates should have a PhD in cognitive science, psychology, neuroscience, computational science, or a related field. Preference will be given to applicants with prior experience in designing and conducting psychophysics experiments, in addition to having strong programming (MATLAB or python), computational and statistical skills. *How to apply:* Please write to Hazem Toutounji (hazem(a)ini.ethz.ch) using the email as a cover letter, preferably before December 9th, 2019. Later applications will be considered until the post is filled. The application should include CV, list of publications and preprints, and contact information of 1-3 potential referees, in addition to a short summary (max. 300 words) of most relevant paper, describing your contribution. -- Dr. rer. nat. Hazem Toutounji Institute of Neuroinformatics University of Zurich and ETH Zurich Winterthurerstrasse 190 CH-8057 Zurich, Switzerland office: +41-44-635-3063 twitter: @HazemToutounji

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University of Sussex funded PhD positions: Leverhulme Doctoral Scholarship Programme, “From Sensation and Perception to Awareness”
by Miguel Maravall 25 Nov '19

25 Nov '19

Dear colleagues, We are inviting applications for our interdisciplinary Leverhulme Doctoral Scholarship Programme at the University of Sussex, “From Sensation and Perception to Awareness”, for entry in September 2020. Could you please kindly distribute to interested students. Thank you Best wishes Miguel Maravall FUNDED PHD POSITIONS AT THE UNIVERSITY OF SUSSEX The University of Sussex invites applications for PhD studentship awards within its Leverhulme Doctoral Scholarship Programme entitled “From Sensation and Perception to Awareness”, directed by Jamie Ward and Anil Seth. The prestigious Sussex Leverhulme Trust Doctoral Scholarship Programme<https://www.findaphd.com/common/clickCount.aspx?theid=3783&type=185&url=htt…> brings together doctoral researchers from different disciplines to advance our understanding of the interactions between sensing, perception, and awareness in humans, animals, and machines. The Programme will support an intake of up to NINE students starting in September 2020. PhD students will be registered within one of the participating schools (Life Sciences, Informatics, Psychology, Media Film & Music, and Brighton and Sussex Medical School). The closing date for applications is January 31st, 2020. For further details, including how to apply, see… https://www.findaphd.com/phds/program/studentships-available-from-the-unive…

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COSYNE 2020: Registration; Travel grants; Cosyne Tutorials
by Tomas Hromadka 25 Nov '19

25 Nov '19

==================================================== Computational and Systems Neuroscience 2020 (Cosyne) MAIN MEETING 27 February - 01 March 2020 Denver, Colorado WORKSHOPS 02 March - 03 March 2020 Breckenridge, Colorado www.cosyne.org ==================================================== IMPORTANT DATES Online registration is now open. Travel grant submission is now open. Travel grant application deadlines 31 December 2019, 11.59PM PST (*Undergraduate* Travel Grant) 14 January 2020, 11.59PM PST (Other travel grants) TAs wanted for a tutorial session. ----------------------------------------------- TRAVEL GRANTS ----------------------------------------------- Applications are now open for travel grants to attend the conference. Each awardee will receive at least $500 to help offset the costs of travel, registration, and accommodations. Larger grants may be available to those traveling from outside North America. Special consideration is given to scientists who have not previously attended the meeting, under-represented minorities, students who are attending the meeting together with a mentor, undergraduate students, and authors of submitted Cosyne abstracts. We currently offer five travel grant programs for New Attendees, Presenters, Mentors, Undergraduates, and Childcare travel grants. For details on applying, see Cosyne.org -> Travel grants. ---------------------------------------------------- COSYNE TUTORIALS ---------------------------------------------------- Cosyne 2019 will host two tutorial sessions on 27 February 2020. For details on Cosyne tutorials please visit Cosyne.org -> Tutorials 20. Tutorial 1: Cosyne 2020 Tutorial session sponsored by the Simons Foundation Topic: Normative approaches to understanding neural coding and behavior Speaker: Ann Hermundstad Ann Hermundstad is a Group Leader in the Computation & Theory research core at Janelia Research Campus. She studies how the brain creates and uses adaptive sensorimotor representations to generate flexible behavior. Her lab uses a combination of theory, modeling, and data analysis to explore how neural circuits can do this efficiently and flexibly, and works in close collaboration with experimentalists to test these ideas in biological systems. *We are recruiting TAs for the tutorial session. If interested, please see Cosyne.org -> Tutorials 20 for details on how to apply.* Tutorial 2 Topic: Neurodata without Borders Tutorial NWB is a data standard for neurophysiology, providing neuroscientists with a common standard to share, archive, use, and build common analysis tools for neurophysiology data. Navigating the Allen Brain Observatory ---------------------------------------------------- COSYNE ---------------------------------------------------- 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. For details on workshop proposals please see below or visit Cosyne.org -> Workshops. 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, and computation with spiking networks. This year 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. COSYNE INVITED SPEAKERS Matthew Botvinick (Deepmind/Princeton) Megan Carey (Champalimaud) John Cunningham (Columbia) Gul Dolen (Hopkins) Rainer Friedrich (FMI Basel) Sam Gershman (Harvard) Lisa Giocomo (Stanford) Christopher Harvey (Harvard) Mehrdad Jazayeri (MIT) Wei Ji Ma (NYU) Hendrikje Nienborg (Tuebingen/NIH) Linda Wilbrecht (Berkeley) Marta Zlatic (Janelia) ORGANIZING COMMITTEE General Chairs: Eugenia Chiappe (Champalimaud) and Christian Machens (Champalimaud) Program Chairs: Anne-Marie Oswald (U Pittsburgh) and Srdjan Ostojic (Ecole Normale Superieure Paris) Workshop Chairs: Catherine Hartley (NYU) and Blake Richards (McGill) Undergraduate Travel Chairs: Angela Langdon (Princeton) and Robert Wilson (U Arizona) Diversity Chairs: Eva Dyer (Georgia Tech, Emory) and Eric Shea-Brown (U Washington) Publicity Chair: Adam Calhoun (Princeton) Development Chair: Michael Long (NYU) EXECUTIVE COMMITTEE Stephanie Palmer (U Chicago) Zachary Mainen (Champalimaud) Alexandre Pouget (U Geneva) Anthony Zador (CSHL) CONTACT meeting [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 -> Mailing lists for details.

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Postdoctoral Researcher position at U Goettingen, Campus Institute for Dynamics of Biological Networks
by von Behren, Christina 22 Nov '19

22 Nov '19

Dear list, We would like to draw your attention to the postdoc opportunity below: The Department of Data-driven Analysis of Biological Networks at the Campus Institute for Dynamics of Biological Networks at the Georg-August-Universität Göttingen invites applications for a position as Postdoctoral Researcher (all genders welcome) This position is available starting from April 1st, 2020. It is a full time position with a limited contract of 3 years and the possibility of extension. Salary and working hours will be according to the German grade 13 TV-L (100%, currently 39.80 hours per week). The position will be associated with the group of Prof. Michael Wibral at the Campus Institute for Dynamics of Biological Networks. We are recruiting a Postdoc for the interdisciplinary research project "Deep learning techniques for association studies of transcriptome and system dynamics in tissue morphogenesis" funded by the Ministry for Science and Culture of Lower Saxony within the research initiative Niedersächsisches Vorab "Big Data in the Life Sciences of the Future". The project aims for establishing the fundamental principles for generating tools for the identification of individual cells that are key to the dynamics of embryonic development via the automation of digital, dynamic tissue reconstruction from large-scale live imaging data and the use of local information dynamics. We are looking for candidates with an excellent PhD in physics, mathematics, computer science or a closely related field, who are committed to pursuing a career in research. The successful applicant will participate in research on the real-time application of novel information theoretic measures applied to imaging data from developing embryonic tissue. The ideal candidate should have excellent skills in scientific writing, experience with the application of information theory to biological data, and should have demonstrated her/his ability to work independently. Coding skills in a language relevant to data analysis (e.g. Python, Julia, R, Scala, Java) are considered as an advantage. We offer the opportunity to become a member of a vibrant community dedicated to innovative research and teaching at the frontier of the exact and biological sciences, and to connect to the latest developments in information theory, including partial information decompositions. The Göttingen Campus is a leading center of biophysics and 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 Campus Institute for Dynamics of Biological Networks (CIDBN) is a newly founded transdisciplinary institute. Its mission is to foster frontier research at the border of the exact and biological sciences and to develop advanced mathematical and computational concepts for the analysis of biological networks. 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 with a list of publications, copies of your certificates and contact information of at least two references by December 31st, 2019 to e-mail address bianca.spitalieri(a)biologie.uni-goettingen.de<mailto:bianca.spitalieri@biologie.uni-goettingen.de> (Subject: PostDoc and ID). Georg-August-Universität Göttingen, Campus Institute for Dynamics of Biological Networks, Department of Data-driven Analysis of Biological Networks, Mrs Bianca Spitalieri, Kellnerweg 6, 37077 Göttingen. If you have any questions, please contact Prof. Dr. Michael Wibral, via e-mail: michael.wibral(a)uni-goettingen.de<mailto:michael.wibral@uni-goettingen.de>. Please note: With submission of your application, you accept the processing of your applicant data in terms of data-protection law. Further information on the legal basis and data usage is provided in the Information General Data Protection Regulation (GDPR) Please see http://www.uni-goettingen.de/de/305402.html?cid=14701 Kind regards, Christina von Behren ------ Campus Institute for Dynamics of Biological Networks Bernstein Centre for Computational Neuroscience Goettingen University of Goettingen Postal address: Max Planck Institute of Experimental Medicine Hermann-Rein-Str. 3 37075 Goettingen Germany Phone: +49-(0)551-39-26674

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Postdoc/PhD position: Biologically inspired DNN for neuronal and behavioral analyses.
by Luczak, Artur 22 Nov '19

22 Nov '19

Dear All, Our lab seeks highly motivated individuals with strong computational backgrounds to work at the interface of neuroscience and machine learning. We are especially interested in application of deep neural networks to improve our understanding of neuronal data, and application of recent neuroscience findings to improve performance of deep neural networks. In our lab we also record activity of hundreds of neurons in normal and epileptic animals, and successful candidate is welcome to participate in those projects. Preferred candidate should have strong background in modeling neurons and networks, and should be very familiar with models of synaptic plasticity (e.g. BCM). Our lab at the Canadian Centre for Behavioural Neuroscience in Lethbridge is located in the sunniest area of Canada and next to scenic Rocky Mountains. For more information please contact: Artur Luczak (Luczak(a)uleth.ca) Relevant papers from our lab: Ryait et al. PLoS Biology 2019: https://journals.plos.org/plosbiology/article?id=10.1371/journal.pbio.30005… Neumann et al. Brain 2017 http://people.uleth.ca/~luczak/papers/Luczak_Brain2017.pdf Luczak et al. Nature Rev Neurosci. http://people.uleth.ca/~luczak/papers/Luczak_nrn2015final.pdf Best, Artur http://lethbridgebraindynamics.com/artur_luczak

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Postdoc position at the SimLab Neuroscience, Juelich, Germany
by Abigail Morrison 21 Nov '19

21 Nov '19

Dear colleagues, we have a postdoc position available in the SimLab Neuroscience, Juelich Research Centre, Germany. We are looking for candidates with a proven track record in developing scientific software who are interested in developing an HPC-amenable neuronal simulator and engaging with the neuroscience community. For a full description and details of how to apply, please see the announcement on our website: https://www.fz-juelich.de/SharedDocs/Stellenangebote/_common/dna/2019-415-E… All the best, Abigail Morrison -- Prof. Dr. Abigail Morrison IAS-6 / INM-6 / SimLab Neuroscience Jülich Research Center & Institute of Cognitive Neuroscience Ruhr-University Bochum http://www.fz-juelich.de/inm/inm-6 http://www.fz-juelich.de/ias/jsc/slns http://www.ikn.psy.ruhr-uni-bochum.de Office: +49 2461 61-9805 Fax # : +49 2461 61-9460 ------------------------------------------------------------------------------------------------ ------------------------------------------------------------------------------------------------ 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, Prof. Dr. Sebastian M. Schmidt ------------------------------------------------------------------------------------------------ ------------------------------------------------------------------------------------------------

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Neurobiology Events at EMBL Heidelberg in 2020
by Julie Heinecke 21 Nov '19

21 Nov '19

The EMBL is one of the world’s leading research institutions, and Europe’s flagship laboratory for the life sciences. We have an extensive course and conference programme, with many multiple related to neurobiology taking place at EMBL Heidelberg, Germany in 2020. Please see our events below. 8 Mar - 11 Mar 2020 EMBL Conference: Advances in Stem Cells and Regenerative Medicine https://www.embl.de/training/events/2020/STM20-01/index.html <https://www.embl.de/training/events/2020/STM20-01/index.html> 15 Mar - 18 Mar 2020 EMBO | EMBL Symposium: Inter-Organ Communication in Physiology and Disease https://www.embo-embl-symposia.org/symposia/2020/EES20-02 <https://www.embo-embl-symposia.org/symposia/2020/EES20-02?_ga=2.140139891.1…> 6 May - 9 May 2020 EMBO Workshop: Microglia 2020 https://www.embl.de/training/events/2020/GLI20-01/index.html <https://www.embl.de/training/events/2020/GLI20-01/index.html> 11 May - 14 May 2020 EMBO | EMBL Symposium: Cellular Mechanisms Driven by Liquid Phase Separation https://www.embo-embl-symposia.org/symposia/2020/EES20-04 <https://www.embo-embl-symposia.org/symposia/2020/EES20-04> 14 Sep - 17 Sep 2020 EMBO | EMBL Symposium: The Neurovascular Interface https://www.embo-embl-symposia.org/symposia/2020/EES20-08 <https://www.embo-embl-symposia.org/symposia/2020/EES20-08> 21 Oct - 24 Oct 2020 EMBO | EMBL Symposium: Organoids: Modelling Organ Development and Disease in 3D Culture https://www.embo-embl-symposia.org/symposia/2020/EES20-11 <https://www.embo-embl-symposia.org/symposia/2020/EES20-11> 28 Oct - 31 Oct 2020 EMBO Workshop: Neuroepigenetics: From Cells to Behaviour and Disease https://www.embl.de/training/events/2020/NEG20-01/index.html <https://www.embl.de/training/events/2020/NEG20-01/index.html> 8 Nov - 11 Nov 2020 EMBO | EMBL Symposium: Biological Oscillators: Design, Mechanism, Function https://www.embo-embl-symposia.org/symposia/2020/EES20-12 <https://www.embo-embl-symposia.org/symposia/2020/EES20-12> Julie Heinecke, PhD Marketing Team Lead European Molecular Biology Laboratory Course and Conference Office Meyerhofstr. 1 D-69117 Heidelberg Germany Tel: +49 6221 387 8359 Fax: +49 6221 387 8158 Visit www.embl.org/events <http://www.embl.org/events> for a list of all EMBL events and subscribe to our newsletter at www.embl.org/events/newsletter/signup <http://www.embl.org/events/newsletter/signup>. Follow us on: Facebook <https://www.facebook.com/EMBLEvents/> | Twitter <https://twitter.com/EMBLEvents> | Instagram <https://www.instagram.com/emblevents/> | LinkedIn <https://www.linkedin.com/in/embl-events-716b1531/> | YouTube <https://www.youtube.com/user/emblmedia/playlists?sort=dd&view=50&shelf_id=4> | EMBL Events Blog <https://blogs.embl.org/events/>

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FW: Fries Lab PhD and Postdoc positions
by Ben S 21 Nov '19

21 Nov '19

The Fries Lab at the Ernst Strüngmann Institute (ESI) aims to fill Several positions for PhD candidates and Postdocs in Cognitive and Systems Neuroscience in the course of 2020 and early 2021. The Fries Lab investigates rhythmic neuronal synchronization and its functional roles for attention and memory (www.esi-frankfurt.de/pf <http://www.esi-frankfurt.de/pf> ). Interactions between different brain areas are studied with multi-site electrophysiology and optogenetics in awake behaving marmoset and macaque monkeys, magnetoencephalography in human subjects, and advanced data analysis. The new lab members will join existing teams with extensive expertise in the relevant techniques, and will typically combine experimental projects with data analysis projects on existing datasets. ESI provides an outstanding infrastructure. All positions are for four years and are core funded by ESI for their full duration. Positions can start at any time in 2020 or early 2021, and this call will remain open until all positions are filled. PhD candidates interested in joining the lab in late 2020 or early 2021 are encouraged to apply to the International Max Planck Research School (IMPRS) for Neural Circuits (www.brain.mpg.de/registration <http://www.brain.mpg.de/registration> ) with a deadline on 1 December 2019, and to send their application material in parallel directly to ESI at the below mentioned e-mail address. PhD candidates should have a B.Sc. or a M.Sc. or an equivalent qualification in neuroscience or a neuroscience-related discipline like medicine, psychology, physics or biology. Correspondingly, Postdoc candidates should have or expect a Ph.D. in neuroscience or a neuroscience-related discipline. Experience with in-vivo electrophysiology or MEG and with data analysis is a plus. Yet, the main criteria are a strong academic track record and a dedication to perform excellent brain research. Applications should include a motivation letter, a curriculum vitae, copies of the school leaving exam and university degrees, lists of university courses with obtained grades, and the names and e-mail addresses of two scientists, who can provide references (do not include reference letters). Please send your application materials in electronic format (ideally in one PDF file) to: renata.vajda(a)esi-frankfurt.de <mailto:renata.vajda@esi-frankfurt.de> . Prof. Dr. Pascal Fries Director, Ernst Strüngmann Institute (ESI) for Neuroscience in Cooperation with Max Planck Society Deutschordenstr. 46, 60528 Frankfurt, Germany Web: <http://www.esi-frankfurt.de/> www.esi-frankfurt.de Mail: <mailto:pascal.fries@esi-frankfurt.de> pascal.fries(a)esi-frankfurt.de Tel: +49 (0)69 96769 501 Fax: +49 (0)69 96769 555 <http://scholar.google.com/citations?hl=en&user=d3U-6zUAAAAJ&view_op=list_wo rks&pagesize=100> Pascal Fries @ Google Scholar Sitz der Gesellschaft: Frankfurt am Main Registergericht: Amtsgericht Frankfurt - HRB 84266 Geschäftsführer: Prof. Dr. Pascal Fries

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Developing advanced nanotechnology for neuroscience: 2 postdoc positions available
by Michele Giugliano 20 Nov '19

20 Nov '19

The positions are funded for up to 42 months on a newly funded EC-Horizon 2020 project called "Ionic Neuromodulation For Epilepsy Treatment (IN-FET)", combining neurobiology, nanotechnologies, electrochemistry, and electronics together for designing a breakthrough novel technology in brain modulation. We aim at experimentally validating novel routes for cellular and microcircuit stimulation or suppression, in collaboration with a consortium of partners which includes IBM Research Zurich, the University of Geneva, the University of Sheffield, and the Inter-university consortium for Nanoelectronics. We search for experts in in vitro electrophysiology (substrate-integrated microelectrode arrays) and patch-clamp recordings (dissociated cell cultures, acute and organotypic brain tissue slices) with a strong background in quantitative data analysis and a strong interest for interdisciplinary research. The link to the text of the call is https://www.sissa.it/bandi/selezione-pubblica-titoli-colloquio-conferimento… <https://www.sissa.it/bandi/selezione-pubblica-titoli-colloquio-conferimento…> The deadline for the application is 14/01/2020 at 13.00 and the link to apply is https://pica.cineca.it/sissa/ar-fe-neur-45-2019/ <https://pica.cineca.it/sissa/ar-fe-neur-45-2019/> For any information, email to assegniricerca(a)sissa.it <mailto:assegniricerca@sissa.it>

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PhD position: modeling sequential human behavior, Centre for Cognitive Science @ TU Darmstadt
by Constantin Rothkopf 20 Nov '19

20 Nov '19

A PhD position is available in the lab of Constantin Rothkopf (https://www.pip.tu-darmstadt.de/) at the Centre for Cognitive Science (https://www.tu-darmstadt.de/cogsci/) at Technical University Darmstadt. The lab investigates sequential decision making and control under uncertainty in humans, how we actively use our visual system to take decisions and guide actions. Our work often involves behavioral experiments measuring eye movements and developing computational models in tasks ranging from psychophysical detection tasks to catching balls, navigation in VR, or reasoning about physics. We offer a supportive and interdisciplinary environment based on scientific curiosity with local and international collaborations. Candidates should have a Masters degree in cognitive science, computer science, psychology, neuroscience, or a related discipline. Preference will be given to candidates with evidence of strong quantitative and computational skills. The successful candidate will have the opportunity to interact closely with the existing team in our lab, as well as other colleagues at the Centre including Frank Jäkel, Kristian Kersting, Jan Peters, and Stefan Roth. If you are interested, please send an informal inquiry to constantin.rothkopf(a)cogsci.tu-darmstadt.de. Full applications including a CV, a brief (max. 2 pages) cover letter explaining your research interests, why you would like to study in the lab, your longer term career goals, and the names and contact details of up to 3 academic references need to be sent to dekanat(a)humanw.tu-darmstadt.de until November 25th 2019, but later applications will be considered until the position is filled. -- Constantin A. Rothkopf, PhD http://www.pip.tu-darmstadt.de/ http://www.cogsci.tu-darmstadt.de/ http://www.ai-da.tu-darmstadt.de/

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Postdoc and PhD positions on cortical dynamics underlying vocal production in freely moving mammals (Univ Grenoble, France)
by Blaise Yvert 19 Nov '19

19 Nov '19

Dear Colleagues, I would be very grateful if you could forward this announcement for a postdoc and a PhD positions currently available in my group at the University of Grenoble (France) to study the cortical dynamics of vocal production in freely moving mammals. More information is available at the following links: https://sites.google.com/view/blaise-yvert/available-positions/postdoc-cort… https://sites.google.com/view/blaise-yvert/available-positions/phd-cortical… Thank you very much Kind regards, Blaise. -- Blaise Yvert, PhD. Inserm Research Director Team Neurotechnology and Network Dynamics BrainTech Laboratory U1205 Inserm and Univ Grenoble Alpes UFR Chimie Biologie Bâtiment Biologie B 3e étage 2280 rue de la piscine 38400 Saint Martin d'Hères France Tel (admin). +33 4 56 52 03 73 Tel (direct). +33 4 56 52 03 74 Tel (lab). +33 4 56 52 03 81 Tel (mobile). +33 6 32 88 75 90 https://sites.google.com/view/blaise-yvert/accueil http://www.braincom-project.eu/

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Postdoc position on speech BCI (Univ Grenoble, France)
by Blaise Yvert 19 Nov '19

19 Nov '19

Dear Colleagues, I would be very grateful if you could forward this announcement for a postdoc position currently available in my group at the University of Grenoble (France) on the development of a speech BCI (ECoG and Intracortical). More information is available at the following link: https://sites.google.com/view/blaise-yvert/available-positions/postdoc-deco… Thank you very much Kind regards, Blaise. -- Blaise Yvert, PhD. Inserm Research Director Team Neurotechnology and Network Dynamics BrainTech Laboratory U1205 Inserm and Univ Grenoble Alpes UFR Chimie Biologie Bâtiment Biologie B 3e étage 2280 rue de la piscine 38400 Saint Martin d'Hères France Tel (admin). +33 4 56 52 03 73 Tel (direct). +33 4 56 52 03 74 Tel (lab). +33 4 56 52 03 81 Tel (mobile). +33 6 32 88 75 90 https://sites.google.com/view/blaise-yvert/accueil http://www.braincom-project.eu/

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Modellers Workshop for the Brain Dynamics Toolbox, Final Call.
by Stewart Heitmann 19 Nov '19

19 Nov '19

Modeller’s Workshop for the Brain Dynamics Toolbox Online Course Nov 1-22, 2019 Final Announcement. Enrolments close Friday. The Brain Dynamics Toolbox is an open toolbox for simulating dynamical systems in neuroscience. The Modeller’s Workshop is an on-line course is for those who wish to use the toolbox to build their own dynamical models. Participants learn the art of programming differential equations in Matlab and how to use the toolbox to solve those equations interactively. Topics include programming Ordinary Differential Equations, Partial Differential Equations, Delay Differential Equations, Stochastic Differential Equations, Auxiliary Plot Functions and command-line tools. Example code is provided in all cases. Course Website https://bdtoolbox.org/p/modellers-workshop/ Important Dates Enrolments open Friday 1st Nov, 2019. Enrolments close Friday 22nd Nov, 2019. This course will not be offered again until March 2020. ______________________________________________________________________ The Victor Chang Cardiac Research Institute's Email is scanned by the MessageLabs Email Security System.

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Postdoctoral Position in Systems/Computational Neuroscience, Drexel University
by Liang,Hualou 18 Nov '19

18 Nov '19

A postdoctoral fellowship is available to conduct research with Drs. Hualou Liang and Vikas Bhandawat at Drexel University. The position is for a computational neuroscientist. Experience/Interest in performing experiments is a plus but not essential. The research project is aimed at understanding neural control of movement – how descending neurons and thoracic (equivalent to spinal cord) motor circuits, and sensory feedback control the coordination of a fly’s leg and coordination between legs. Because each leg has many degrees of freedom, and there are 6 legs, the movement space is large. We will employ concepts from dynamical systems, statistical methods as well as machine learning/deep learning to discover latent structure from high-dimensional data, to extract movement states, and to understand how these states are regulated by interactions between behavioral demands (carried by descending inputs), current body configuration (computed by thoracic circuits based on past limb positions), and on-going sensory feedback (through proprioceptors and load feedback). The successful candidate will have received a Ph.D. in a relevant discipline with substantial experience in Computational Neuroscience. The position will be largely computational, but there is an opportunity to perform a wide variety of experiments, including, in vivo whole-cell patch clamp, in vivo functional imaging, tethered/free behavioral assays in the Bhandawat lab. The Liang Lab works on problems at the intersection of machine learning and neuroscience, with particular interest in using the tools of artificial intelligence to study brain function and other complex processes. The major thrust of the lab is computational. Our current research uses data science to advance a broad range of topics that include understanding brain function, discovering causal structure from observations, and using deep learning and natural language processing to ease the burden of generic drug review. For current projects, please visit https://liang-lab.org/research/. The Bhandawat lab studies how animal behavior emerges from the complex interaction amongst the animal's nervous systems, their muscle-body dynamics, and their environment. We use fruit flies (Drosophila melanogaster) as our model organism because they perform many complex behaviors with a relatively simple brain, and because of the many genetic tools that are available in the flies. We employ a multi-pronged approach which includes in vivo whole-cell patch clamp recordings, imaging, and quantitative measurement of behavior, biomechanics and computation. For more information on research conducted in the Bhandawat lab, please check our website at http://biomed.drexel.edu/labs/bhandawat/ To be considered for this position please send a CV and a letter describing research interest to Hualou Liang (hualou.liang(a)drexel.edu) and Vikas Bhandawat (vikas.bhandawat(a)drexel.edu) Start date: Immediately Funding mechanism: funded by a NIH grant. Hualou Liang, PhD Professor School of Biomedical Engineering Drexel University 3141 Chestnut Street Philadelphia, PA 19104 Tel: (215) 571-3706 Fax: (215) 895-4983 hualou.liang(a)drexel.edu<mailto:hualou.liang@drexel.edu> https://liang-lab.org/ Mailing address: Monell Building 3508 Market Street Suite 100 Philadelphia, PA 19104

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postdoc opportunity at NIMH (machine learning approaches in anxiety and depression)
by Francisco Pereira 17 Nov '19

17 Nov '19

Dear list, We have a postdoc opportunity in the Section on Development and Affective Neuroscience at NIMH, working with Daniel Pine, David Jangraw, and the NIMH Machine Learning Team. Please see below for full details. Francisco Pereira ## Who we are: Drs. Daniel Pine (https://www.nimh.nih.gov/research/research-conducted-at-nimh/research-areas…) and David Jangraw (https://davidjangraw.wordpress.com) are seeking applicants for a Post-Doctoral Fellowship position that would develop new machine learning-based approaches for the diagnosis and treatment of mental illnesses. Our aims are to better understand the causes and mechanisms of certain psychiatric disorders, improve their definition and classification, and ensure the best treatment can be offered to psychiatric patients. We do this by identifying neuroscience-based phenotypes that map onto clinical phenotypes, and which can be targeted with novel treatments. The position is co-advised by the NIMH Machine Learning Team (https://cmn.nimh.nih.gov/mlt) led by Dr. Francisco Pereira, whose mission is to solve the scientific problems of NIMH researchers by developing new machine learning methods, or developing new analysis approaches relying on existing methods. ## What you will do: One line of research will focus on refining and testing latent constructs derived from multiple brain imaging and behavioral markers of inhibitory control. Inhibitory control deficits are common to many psychiatric disorders, and if the latent construct shows good reliability, it may serve as a target for novel treatments. Another line of research will hinge on extracting characteristics of psychotherapy session data, such as therapist speech and facial expressions, that can predict patient clinical outcomes. While the work will concentrate on anxiety and mood disorders in young people, the approaches will be applicable to any mental disorder. The fellow will work with multi-modal imaging datasets that include MRI (functional, structural), EEG, MEG, and associated behavioral and clinical data, all of which may be used as input to machine learning methods. Data sets are already available, and the fellow will devote most of their time to analyzing these data or developing new methods. The fellow will also have access to excellent computational resources within NIH (e.g., top-100 supercomputer with hundreds of thousands of CPUs and hundreds of GPUs). ## Who you are: Candidates with a strong computational background (e.g., PhD in Engineering, Physics, Computer Science, Mathematics, Statistics, Computational Neuroscience, and related areas) who are interested in brain development and psychopathology are particularly encouraged to apply. Requirements for this position include: - Programming experience in data-intensive computation tasks, in Python (preferably) or in R/Matlab - Practical machine learning experience (e.g., training of classification/regression models, statistical testing of results, interpretation and visualization of models), especially using open source machine learning platforms such as scikit-learn - Excellent interpersonal and written (English) communication skills Experience in psychiatry or knowledge of software for processing neuroimaging data are not required. However, the candidate will be expected to learn some of these topics as part of their role in our research group. ## How to apply: The successful candidate will work jointly with Drs. Daniel Pine, David Jangraw, and Francisco Pereira. Please write to them (pined(a)mail.nih.gov, david.jangraw(a)nih.gov, francisco.pereira(a)nih.gov) with your CV, using the email as the cover letter. Other enquiries are also very welcome. The National Institutes of Health is an equal opportunity employer.

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PhD grant on spiking networks at Barcelona
by Xavier Otazu 16 Nov '19

16 Nov '19

The Neurocomputation and Biological Vision Team (NeuroBiT) (http://www.cvc.uab.es/neurobit) offer a PhD scholarship to work in a highly multidisciplinary project which includes computational modelling of primary visual cortex and psychophysical experimentation of colour perception and its relationship to visual migraines. The Research will take place at the Computer Vision Centre (http://www.cvc.uab.es) of the Univ. Autònoma de Barcelona, which is consistently ranked among the top Spanish Universities (https://www.uab.cat/web/about-the-uab/the-uab/the-uab-in-the-rankings-13456…) The centre is located in a campus outside the vibrant city of Barcelona and has a strong tradition of multidisciplinary research in computational colour vision with their own psychophysical laboratory, living labs facilities and several computer clusters. The candidate will be part of the NeuroComputation and Biological Vision Team (NeuroBiT), a recently-formed multidisciplinary research group which combines perceptual and computational approaches with visual neuroscience. We offer regular meetings with other PhD students, international contacts and the possibility of internship/cooperation with other experimental/theoretical labs. The successful candidate is likely to obtain several high-impact publications. The PhD student research topic will be the development of recurrent multilayer spiking networks to reproduce the biological architecture of the primary visual cortex and several of its physiological properties, aiming at reproducing the results of psychophysical studies in colour perception and clinical studies on migraines. The duration of the position is 3 years (36 months). We expect the position to start before July 1st 2020 (i.e. eventual visa issues should be solved beforehand!). The total annual stipend of the grant is around 15.000 euros gross, which include the cost of registration fees for the official doctorate program. Conditions: The candidate must -hold a European Higher Education Area (EHEA) qualification of at least 300 ECTS credits or a university-awarded Master degree or equivalent in the natural sciences/engineering at the time of signing the contract. - have experience in programming with Python and/or Matlab (C, C++, Unix environment and computer cluster experience are also valued) - have knowledge of / interest in the human visual system, visual perception and statistics - proficiency in English and (desired in) Spanish or Catalan - have excellent skills in analytical thinking, perceptiveness, commitment, self-organization, teamwork, and communication. Any previous experience in the subject of computational modelling will also be a bonus. How to apply: Please send your CV and a short statement (500 words) connecting your previous work with the topics of this grant to xotazu(a)cvc.uab.es and a copy of the official academic transcript (including GPA) before november 25th. We encourage candidates with strong skills in programming who are interested to work in a highly multidisciplinary project and environment (computer science, neuroscience, psychophysics), to apply. Candidates should have a degree in a related subject (Neuroscience, Computer Science, Mathematics, Physics, Biology, etc.). Xavier Otazu Senior Researcher at Computer Vision Center Professor at Computer Science Department, Univ Autonoma de Barcelona

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PhD Position in Psychology at Ghent University
by Clay Holroyd 16 Nov '19

16 Nov '19

PhD Position in Psychology at Ghent University The Learning and Cognitive Control Lab is recruiting a highly motivated PhD student for a 4-year position at the Department of Experimental Psychology, Ghent University (Belgium). The position is funded by a European Research Council Advanced Grant, “Cracking the Anterior Cingulate Cortex Code: Toward a Unified Theory of ACC Function” ( https://cordis.europa.eu/project/rcn/216511/factsheet/en ). Our department provides a vibrant and collaborative research environment that include several groups investigating the cognitive neuroscience of cognitive control and decision making. The available facilities include a research-dedicated 3T Siemens Magnetom Trio MRI scanner, EEG, TMS, eye-tracking, and an MR-compatible EEG system. Our seminar programs enable staff and students to engage with leading researchers from across the world. The successful candidate will conduct functional magnetic resonance imaging experiments following a model-based cognitive neuroscience approach (for an example of our approach, see doi 10.1073/pnas.1803650115 ). There are also opportunities in the department to conduct EEG, pupillometry and TMS experiments. Candidates are expected to have a Master’s degree in psychology, cognitive neuroscience, or a closely related discipline at the time of the starting date. Candidates with prior fMRI training as well as good programming skills (Python, Matlab) would be excellent for this position. The position can start any time between February 1st 2020 and July 1st 2020. The call closes on January 5th 2020. Interested candidates should email their CV, a statement of research interests, and have three letters of reference forwarded to Clay Holroyd at clay.holroyd(a)ugent.be. Inquiries may be directed to him at this email address.

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MindCORE at the University of Pennsylvania: Postdoctoral Fellowship Opening - Jan 3 deadline
by Calvert, Heather J 14 Nov '19

14 Nov '19

MindCORE Postdoctoral Research Fellowship at Penn MindCORE, an interdisciplinary effort to understand human intelligence and behavior at the University of Pennsylvania, seeks to recruit outstanding postdoctoral researchers for our MindCORE Fellowship. Designed for individuals who have recently obtained a PhD degree in psychology, linguistics, neuroscience, philosophy or other cognitive science discipline, the MindCORE Fellowship is a springboard for young researchers as they establish their own research program. The fellowship covers salary and a modest research budget. The most exciting applications often come from candidates who are interested in working collaboratively with multiple faculty members. Applications for 2020 are due January 3rd: https://mindcore.sas.upenn.edu/post-doctoral-research-fellowship/ Heather J. Calvert (she / her) Executive Director, MindCORE Penn's hub for the integrative study of the mind. 112 Leidy Labs, 3740 Hamilton Walk, University of Pennsylvania 215-573-1111 ~ hcalvert(a)sas.upenn.edu https://web.sas.upenn.edu/mindcore/ Follow MindCORE on Twitter & Facebook @PennMindCORE

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Call for papers for Vision Research special issue on "Calibrating the visual system"
by Ruben Coen-Cagli 14 Nov '19

14 Nov '19

**Apologies for cross-posting ** Calibrating the visual system Vision Research seeks contributions for a special issue entitled ‘Calibrating the visual system’. Visual systems evolved according to consistent characteristics of the environment and task demands of the species, but also to be malleable in order to adapt to specific perturbations in the stimulus and the observer. The special issue aims to integrate work on the calibration of visual processes in relation to the stable properties of natural scenes or to variations in the sensory stimulus or the individual’s sensory apparatus, in different visual domains and over different time scales. Of particular interest are processes of short, medium and long-term adaptation, and processes to maintain perceptual constancy, as well as processes that occur during visual development. We are also seeking papers concerned with the benefits, costs, and limitations of these adaptations for optimal encoding of visual information, and for learning and representing relevant stimuli in the environment. We are seeking both original research articles and reviews on this subject, covering diverse methods including psychophysics, physiology, neuroimaging, and computational modelling Guest Editors: Jenny Bosten, University of Sussex Ruben Coen Cagli, Albert Einstein College of Medicine Anna Franklin, University of Sussex Samuel Solomon, UCL Michael Webster, University of Nevada, Reno Submission Deadline: March 2020 Manuscripts are submitted through the Special Issue portal of the submission system and go through peer review as usual. Each article in the special issue is assigned a unique identifier and once the article is accepted will be published in a regular journal issue as soon as available. The unique identifier allows us to simultaneously add the article to the special issue on ScienceDirect which is gradually built up as individual articles are published online. We do provide Shared Link of the final published version to the corresponding authors with 50 days free access so that they can share it. Submission Instructions https://ees.elsevier.com/vr/<https://nam02.safelinks.protection.outlook.com/?url=https%3A%2F%2Fees.elsev…> Authors to select “VSI: Calibrating vision” as article type when submitting their special issue paper in EES. Guide for Authors for more details <https://nam02.safelinks.protection.outlook.com/?url=https%3A%2F%2Fwww.elsev…>https://www.elsevier.com/journals/vision-research/0042-6989/guide-for-autho…<https://nam02.safelinks.protection.outlook.com/?url=https%3A%2F%2Fwww.elsev…>https://www.elsevier.com/journals/vision-research/0042-6989/guide-for-autho…

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Postdoctoral fellow in AI, and real time signal processing for Brain Computer Interface clinical application at CEA, Grenoble and Paris-Saclay, France
by Tetiana AKSENOVA 218551 14 Nov '19

14 Nov '19

Postdoctoral fellow in AI, and real time signal processing for Brain Computer Interface clinical application The post-doctoral fellowship will be carried out within the frame of the multidisciplinary project "Brain Computer Interface" (BCI) at CEA-LETI-CLINATEC, Grenoble, France, in collaboration with the Data Intelligence Service from CEA-LIST (Paris-Saclay), France. The goal of the BCI project is the proof of concept that it is possible to control complex effectors thanks to brain activity decoding. Motor BCI raises the hope that limb mobility may be restored for severely motor-impaired patients to regain autonomy, providing them with control over orthosis or prostheses. The project is based on the recording of neuronal activity at the level of cerebral motor cortex (ElectroCorticoGrams, ECoG) with innovative wireless WIMAGINE® implant dedicated to the long term clinical use. A clinical research protocol « BCI and Tetraplegia » at CLINATEC® includes several tetraplegic subjects and is in progress. In this general frame, the project of partners CEA-LETI-CLINATEC and CEA-LIST "Enabling out-of-laboratory neuroprosthetics for severely motor-impaired patients using artificial intelligence", is supported by Programme Transversal de Compétences « Simulation Numérique » of CEA. The particular objective of the project is moving toward neuroprosthetics out-of-the-lab applications. This goal entails solving major challenges: increase number of Degrees of Freedom (DoF), improving accuracy and robustness of neural signal decoding to ensure usability of neuroprosthetics for real life tasks from one side, and providing a BCI system for constrained execution environments offered by portable devices from another side. One direction to improve decoding performances is to use recent advances in artificial neural networks. To ensure that the decoding algorithm is compatible with constrained environments, including the restrained CPU and memory costs such that real-time signal processing and decoding remains feasible, various strategies could be investigated. Missions of post-doctoral fellow will include: The experiment design and set up for real life tasks of using of neuroprosthesis by tetraplegic subject; Design of innovative ANN decoding algorithms, the test and the comparison to conventional methods; Optimization and implementation for real time application, integration to the Clinatec BCI platform; A unique clinical trial ECoG database supports the project. Initial contract duration is 12 months with possible prolongation (24 months at max), initial 12 months in CEA / DRT / LETI / CLINATEC, Grenoble and the next ones in CEA / DRT / List / DM2I / SID / LI3A, Saclay. Profile of candidate: PhD or equivalent with strong knowledge in Machine learning, Deep learning, real time Signal processing (high dimensional data flow), with strong skills in Python, matlab. Application: The candidates should send a CV, the names of 2 referees, and a cover letter to Dr. Tetiana AKSENOVA, tetiana.aksenova(a)cea.fr<mailto:tetiana.aksenova@cea.fr>, Dr. Cedric GOUY-PAILLER, cedric.gouy-pailler(a)cea.fr, and Dr. Pierre BLANCHART, pierre.blanchart(a)cea.fr. The selected candidates will be interviewed for an expected start in March 2019.

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Call for Paper: [Computers]: Special Issue "Simulation, Imaging and Modelling for Biomedical Systems" (Scopus, ESCI, 50% discount, Deadline Approaching)
by Blink Yu 14 Nov '19

14 Nov '19

[Apologies if you receive multiple copies of this message] ==================================== Special Issue "Simulation, Imaging and Modelling for Biomedical Systems" Deadline for manuscript submissions: 15 December 2019 Guest Editor: Dr. Elena Casiraghi and Dr. Barbara Barricelli Department of Computer Science; Università degli Studi di Milano, Italy Website: https://www.mdpi.com/journal/computers/special_issues/SIM_BS ===================================== Dear Colleagues, Over the past decades, a continuous increase in computational power, together with substantial advances in the digital image processing and pattern recognition fields, has motivated the development of computer-aided diagnostic (CAD) systems, augmented and virtual reality applications for surgical planning and simulation, and digital-twin applications for healthcare. Thanks to their effective, precise, and repeatable results, validated CAD systems are nowadays exploited as a valid aid during diagnostic procedures. Surgical simulation applications have become an essential part of surgical procedures as well as training, while research on the development of digital-twin applications in healthcare is continuously increasing, to deliver significant societal and health benefits. Similar important advances in the field of microscopy image analysis have been motivated by the advent of digital microscopes producing high-resolution digital images. Indeed, in the past thirty years the development of computerized systems that have helped pathologists in their analysis of images obtained by fluorescence, histochemical, and immunohistochemical labeling has become a main research focus for computer scientists and clinicians. State-of-the-art automatic microscopy image analysis systems automatically identify biological structures of interest and then try to reproduce the evaluation and quantification performed by expert pathologists and clinicians. These tools are much appreciated in the field for their potential to minimize the inherent subjectivity of manual analysis and to largely reduce the workload of clinicians via high-throughput analysis. This Special Issue intends to provide a comprehensive overview of recent, theoretical, and/or practical advances and new trends in biomedical/microscopy image enhancement and analysis, vision modelling, and general physiological models applied to biomedical/microscopy image processing and advanced visualization methods and devices, and to discuss their applications in the biological and medical fields. Keywords: BioMedical/microscopy image enhancement Biomedical/microscopy image quality assessment Biomedical/microscopy image analysis Computational approaches for citology and histology Computer-aided diagnosis Neuro imaging BioMedical/microscopy image databases Machine learning and artificial intelligence Image segmentation, registration, and fusion Interventional imaging systems Image-guided interventions and surgery Surgical and interventional simulation systems Interventional tracking and navigation Surgical planning and simulation Surgical visualization and mixed, augmented and virtual reality Digital twins and end-user development in biomedicine Interventional software and user interfaces Physiological models Dr. Elena Casiraghi Dr. Barbara Barricelli Guest Editors -- Mr. Blink Yu Managing Editor E-Mail: blink.yu(a)mdpi.com Skype: live:c91693ac8277e1f0 -- MDPI Wuhan Office No.6 Jingan Road, 430064 Wuhan, China MDPI Postfach, CH-4020 Basel, Switzerland http://www.mdpi.com -- Disclaimer: MDPI recognizes the importance of data privacy and protection. We treat personal data in line with the General Data Protection Regulation (GDPR) and with what the community expects of us. The information contained in this message is confidential and intended solely for the use of the individual or entity to whom they are addressed. If you have received this message in error, please notify me and delete this message from your system. You may not copy this message in its entirety or in part, or disclose its contents to anyone.

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University of Sussex 4-year PhD Programme in Neuroscience
by Miguel Maravall 13 Nov '19

13 Nov '19

Dear colleagues, We are inviting applications for our PhD Programme in Neuroscience at the University of Sussex, for entry in September 2020. Could you please kindly distribute to interested students - we are very interested in applications from students with quantitative (physical sciences/computing/math) backgrounds. Thank you Best wishes Miguel Maravall University of Sussex 4-year PhD Programme in Neuroscience Sussex Neuroscience is now inviting applications for September 2020 entry to our funded PhD Programme, which includes a first year of laboratory rotations and taught modules. These support a transition into neuroscience from other science disciplines such as physics and computing, and provide students with the opportunity to both broaden and deepen their experience of different neuroscience fields and techniques. More than 40 supervisors are offering research projects in topics including molecular & cellular biology, neurophysiology, learning, behavioural and cognitive neuroscience, psychology, development, sensory systems, computational neuroscience, functional imaging, neurodegeneration and translational neuroscience (the interface between fundamental and clinical neuroscience). Application Deadline: January 6th 2020 The beautiful Sussex campus, located just outside Brighton, is home to one of the largest neuroscience research communities in the UK, with strong interdisciplinary interactions between the biological and computational sciences. Our PhD Programme attracts some of the brightest students internationally. Home/EU fees are waived and a stipend is provided. We also welcome applications from non-EU students; we may be able to contribute top-up funds to exceptional international students who secure partial external funding. All students on the Programme can access financial support to attend conferences and additional training opportunities in the UK and overseas throughout their PhD. For further information and application instructions, please visit: www.sussex.ac.uk/sussexneuroscience/study/4yearphd<http://www.sussex.ac.uk/sussexneuroscience/study/4yearphd>

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PhD opportunity: Computational approaches to multisensory processing (UK-based)
by Thomas Otto 13 Nov '19

13 Nov '19

Dear colleagues, Thank you for forwarding this advertisement for a 4-year PhD position at the University of St Andrews, Scotland, to UK-based students with interests in computational approaches to multisensory processing. More details can be found with the link below. Kind regards, Tom https://www.findaphd.com/phds/project/eastbio-the-role-of-sequential-effect… -- Dr. Thomas Otto University of St Andrews School of Psychology and Neuroscience St Mary’s Quad, South Street, St Andrews, KY16 9JP, Scotland Phone: +44 (0)1334 462091 http://lclab.wp.st-andrews.ac.uk/

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postdoc in computational cognitive neuroscience at TU Dresden
by Dimitrije Markovic 12 Nov '19

12 Nov '19

Dear colleagues, please find bellow a brief description of an open postdoc position for someone into computational cognitive neuroscience. Application deadline is November 29. Best wishes, Dimitrije Markovic -- The Department of Psychology at the TU Dresden (PI: Stefan Kiebel) is looking for a postdoc. The position is for 3,5 years. The candidate will be working on computational models in cognitive control and decision making. Detailed information about the position can be found at: https://tinyurl.com/whabxhv The position in the group of Stefan Kiebel<https://tu-dresden.de/mn/psychologie/ifap/ni?set_language=de> is associated with the DFG-funded CRC 940 'volition and cognitive control' (https://tu-dresden.de/bereichsuebergreifendes/sfb940) and TRR 265 'Losing and Regaining Control over Drug Intake: From Trajectories to Mechanisms to Interventions' (https://sfb-trr265.charite.de/en/) In the CRC 940 projects we're developing models of meta-control, while in the TRR 265 project we're focusing on models of balancing habitual and goal-directed control. The candidate will work as a member of a team of both modellers and experimenters (fMRI and EEG). ============================= Dr. Dimitrije Markovic Post-Doc at Technische Universität Dresden, Department of Psychology, Dresden, Germany Lab website: https://tu-dresden.de/mn/psychologie/ifap/ni Phone: +49-351-463-43146 Personal website: http://dimarkov.github.io/ =============================

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PhD/postdoc vacancy: EEG and audio processing for neuro-steered hearing aids
by Tom Francart 12 Nov '19

12 Nov '19

Dear colleagues, Thank you for forwarding this advertisement for two positions at the University of Leuven, Belgium, to any interested party. We have a *PhD and Post-doc position*on a joint project between the research group ExpORL, Dept. Neurosciences (Tom Francart) and the research group ESAT-STADIUS, Dept. Electrical Engineering (Alexander Bertrand). The long-term goal of this project is to design smart hearing devices that can be controlled by the brain. Topic: EEG and audio processing for neuro-steered hearing aids: ·adaptive signal processing and/or machine learning methods to perform auditory attention decoding, and use these in EEG experiments ·a brain-computer interface set-up for real-time (closed loop) attention decoding with EEG and perform experiments on subjects Candidates need a *degree in engineering, computer science,* physics, or similar, and good machine learning, signal processing and programming skills. Excellent English proficiency is required as well as a strong interest in auditory perception and willingness to work in an interdisciplinary team. Knowledge of human neurophysiology and psychology of hearing is a strong plus. More details and the link to apply can be found through the following links: PhD position: https://www.kuleuven.be/personeel/jobsite/jobs/55358404 Postdoc position: https://www.kuleuven.be/personeel/jobsite/jobs/55358406 With kind regards, Tom Francart Alexander Bertrand -- Prof. Dr. Tom Francart KU Leuven Department of Neurosciences, ExpORL Herestraat 49 bus 721, B-3000 Leuven, Belgium Tel: +32 16 37 98 40

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CFP SAB 2020: FROM ANIMALS TO ANIMATS 16th International Conference on the Simulation of Adaptive Behavior - Cergy-Pontoise, France, 22-24 Sep 2020 -- deadline: 1st Apr 2020
by alexandre pitti 12 Nov '19

12 Nov '19

Call for papers for the 16th International Conference on the Simulation of Adaptive Behavior (SAB2020) SAB 2020 : FROM ANIMALS TO ANIMATS 16 that will be held at Cergy-Pontoise University (near Paris), France 22-24 september 2020 + workshops day 21st https://sab2020.sciencesconf.org/ *Scope of the Conference* ========================= The objective of this interdisciplinary conference is to bring together researchers in computer science, artificial intelligence, artificial life, control, robotics, neurosciences, ethology, evolutionary biology and related fields in order to further our understanding of the behaviors and underlying mechanisms that allow natural and artificial animals to adapt and survive in uncertain environments. The conference will focus on experiments with well-defined models including robot models, computer simulation models and mathematical models designed to help characterize and compare various organizational principles or architectures underlying adaptive behavior in real animals and in synthetic agents, the animats. *Location* ========== Cergy-Pontoise University, close to Paris, France *Relevant Research Areas* ========================= SAB2020 solicits contributions dealing with any aspect of adaptive behavior in natural and artificial systems. Typical, but not exclusive, topics of interest are: The animat approach Motor control Body and brain co-evolution Self-assembling and self-replication Sensory-motor coordination Action selection and behavioral sequencing Navigation and mapping Internal models and representation Evolution, development and learning Collective and social behavior Applied adaptive behavior Motivation and emotion Communication and language Emergent structures and behaviors Neural correlates of behavior Evolutionary and co-evolutionary approaches Bio-inspired and hybrid robotics Autonomous robotics Humanoid robotics Cognitive and developmental robotics Software agents and virtual creatures Philosophical and psychological issues Animats in education *Conference Format* =================== Following the tradition of SAB conferences, the conference will be single track with additional poster sessions. There will also be a day of tutorials. *Important Dates* ================= The conference will be held between 22-24 Sep 2020 and the 21st of September will be dedicated to workshops and tutorials Submission deadline : 1st of April, 2020 Notification of Acceptance : 1st of May, 2020 Camera ready: 1st of June, 2020 workshops/tutorials: 21st of September, 2020 Venue: 22nd-24th of September, 2020 Workshop/Tutorial Proposal Deadline: 21st May, 2020 Workshop/Tutorial Notification of Acceptance: 31th May, 2020 *Paper Submission Instruction and Publication Details* ====================================================== Submitted papers must not exceed 12 pages. Detailed submission instructions are available from the conference website (https://sab2020.sciencesconf.org/) Special Issue to Springer Lecture Notes in Artificial Intelligence All accepted papers with oral or poster presentation will be published in Springer Lecture Notes in Artificial Intelligence series conference proceedings. Selected authors may additionally be invited to submit extended versions for a conference Special Issue of the Journal of Adaptive Behavior. *Workshops & tutorials* ======================= The SAB2020 organizing committee invites proposals for workshops and tutorials, which will be held on the 21st of September, 2020. Instructions for preparing the tutorial proposal and further details on the tutorials will be found at http://www.sab2020.sciencesconf.org *Best Paper Award* ================== Two best paper prizes will be awarded at the end of the conference to honour the authors of papers of exceptional merit. For more information please refer to the official SAB2020 website. *Further Information* ===================== Up-to-date information will be published on the website https://sab2020.sciencesconf.org/ . For information about local arrangements, registration forms, etc., please refer to the website or contact the local organizers at the address below. * Organizers * ============== ETIS laboratory, CNRS UMR 8051, Université de Cergy-Pontoise, ISAB Philippe Gaussier General Chair, UCP Sofiane Boucenna Program Chair, UCP Nicolas Cuperlier Program Chair, UCP Alexandre Pitti Local Chair and Publicity Chair, UCP TBA *Conference Address* ==================== Laboratoire ETIS, Département Informatique Université de Cergy-Pontoise, Site Saint-Martin 2 avenue Adolphe Chauvin, 95302 Cergy-Pontoise, France *Contact * ========== [ mailto:sab2020@sciencesconf.org | sab2020(a)sciencesconf.org ]

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Call for graduate students
by Joshua Hartshorne 11 Nov '19

11 Nov '19

The laboratories of Joshua Hartshorne and Stefano Anzellotti at Boston College are accepting applications for co-advised graduate students starting in Fall 2019, for collaborative projects focusing on computational modeling of fMRI and other neural data. We are particularly interested in finding a student to work on understanding individual variation in functional connectivity. Applications could be to the neural processing of language, social perception, or other high-level cognitive problems. The application deadline is December 15th. If you have any questions you can contact us at stefano.anzellotti[at]bc.edu. To apply, visit https://www.bc.edu/bc-web/schools/mcas/graduate/admission/apply-now.html

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[meetings] [LM2020] Living Machines 2020 - First call for papers
by Vicky Vouloutsi 11 Nov '19

11 Nov '19

Dear colleagues, Please find below the first call for papers, satellite events, and sponsors for the 9th International Conference on Biomimetic and Biohybrid Systems of Living Machines, 28th-31st of July 2020. Apologies for cross-posting but please share this announcement with your colleagues. Looking forward to seeing you in Freiburg, Germany! -------------------------------------------------------------------------------------------------------------------------- *First Call for Papers, Satellite Events and Sponsors* *Living Machines. The 9th International Conference on Biomimetic and Biohybrid Systems* * 28 – 31 July 2020* To be hosted at the Botanical Garden of Freiburg and the Cluster of Excellence livMatS at the University of Freiburg, Germany Accepted papers will be published in *Springer Lecturer Notes in Artificial Intelligence* *Submission deadline: March 23, 2020* http://livingmachinesconference.eu/2020 -------------------------------------------------------------------------------------------------------------------------- *ABOUT LIVING MACHINES 2020* The development of future real-world technologies will depend strongly on our understanding and harnessing of the principles underlying living systems and the flow of communication signals between living and artificial systems. *Biomimetics* is the development of novel technologies through the distillation of principles from the study of biological systems. The investigation of biomimetic systems can serve two complementary goals. First, a suitably designed and configured biomimetic artefact can be used to test theories about the natural system of interest. Second, biomimetic technologies can provide useful, elegant and efficient solutions to unsolved challenges in science and engineering. *Biohybrid* systems are formed by combining at least one biological component—an existing living system—and at least one artificial, newly-engineered component. By passing information in one or both directions, such a system forms a new hybrid bio-artificial entity. The theme of the conference also encompasses biomimetic methods for manufacture, repair, and recycling inspired by natural processes such as reproduction, digestion, morphogenesis, and metamorphosis. The following are some examples of “Living Machines” as featured at past conferences: * Biomimetic robots and their component technologies (sensors, actuators, processors) that can intelligently interact with their environments. * Biomimetic computers—neuromimetic emulations of the physiological basis for intelligent behavior. * Active biomimetic materials and structures that self-organize and self-repair or show other bio-inspired functions. * Nature-inspired designs and manufacturing processes. * Biohybrid brain-machine interfaces and neural implants. * Artificial organs and body-parts including sensory organ-chip hybrids and intelligent prostheses. * Organism-level biohybrids such as robot-animal or robot-human systems. *ACTIVITIES* The main conference will take the form of a *three-day single-track oral* and *poster presentation program*, *28th July to 31st July 2020*, and will be hosted at the Botanical Garden of Freiburg by the University of Freiburg, Germany, and the Cluster of Excellence “Living, Adaptive and Energy-autonomous Materials Systems (livMatS)” (www.livmats.uni-freiburg.de<http://www.livmats.uni-freiburg.de>). The conference program will include *five plenary lectures* from leading international researchers in biomimetic and biohybrid systems, and the demonstrations of state-of-the-art living machine technologies. The full conference will be preceded by up to two days of *Satellite Events* hosted at the University of Freiburg. *SUBMITTING TO LIVING MACHINES 2020* We invite both *full papers* and *extended abstracts* in areas related to the conference themes. All contributions will be refereed and accepted papers will appear in the Living Machines Proceedings, published in the *Springer-Verlag Lecture Notes in Artificial Intelligence*. Full papers (minimum 8 pages, up to 12 pages) are invited from researchers at any stage in their career and should present significant findings and advances in biomimetic or biohybrid research. More preliminary work is better suited for short paper submission (maximum 4 pages, with a maximum of ten references and no more than three self-citations). Full papers will be accepted for either oral presentation (single track) or poster presentation with a short podium preview. Extended abstracts will be accepted for poster presentations only. Authors of the best full papers will be invited to submitted extended versions of their paper for publication in a special issue of the Taylor & Francis journal *Connection Science*. *SATELLITE EVENTS* Active researchers in biomimetic and biohybrid systems are invited to propose topics for full or half-day *tutorials*, *symposia* or *workshops* on related themes to be held on 28. July at the Institute for Biology II/III of the University of Freiburg (http://www.bio.uni-freiburg.de/index-en?set_language=en) Attendance at satellite events will attract a small fee intended to cover the costs of the meeting. There is flexibility about the content, organization, and budgeting for these events. Please contact us if you are interested in organizing a satellite event! *EXPECTED DEADLINES* March 23, 2020: Paper submission deadline May 15, 2020: Notification of acceptance May 25, 2020: Camera-ready copy July 28, 29-31, 2020 Workshops and Conference *SPONSORSHIP* Organizations wishing to sponsor the conference in any way and gain the corresponding benefits by promoting themselves and their products through conference publications, conference events, and conference publicity are encouraged to contact the organizers to discuss the terms of sponsorship and necessary arrangements. We also offer a number of attractive options for potential sponsors. *VENUE* Consistent with the Living Machines’ tradition of choosing historical venues at the crossroads between life and human sciences, this year the conference will take place at the Botanical Garden of Freiburg. Freiburg is considered the gateway to the Black Forest and thanks to its geographical location is blessed with mild weather all year round. The city is over 900 years old and known to be the sunniest city(1,740 hours of sunshine/year) in Germany. Freiburg has a beautiful historical inner city and is home to one of the oldest universities and Botanical Gardens in Germany. The Botanical Garden Freiburg will be celebrating its 400 year anniversary in 2020 and is located in the district Herdern near the Botanical Institute of the University of Freiburg. The Botanical Garden invites visitors to enjoy its wonderful greenery and learn about both plants from all around the world and plant-based biomimetics with its biomimetic educational trail. The trail highlights biomimetic inventions based on plants while providing fascinating insights into underlying biological principles. *CONFERENCE ORGANIZING COMMITTEE* *Thomas Speck* University of Freiburg, Germany (Local Chair) *Paul Verschure* IBEC, BIST, ICREA, CSN Foundation (Co-Chair) *Tony Prescott* University of Sheffield, CSN Foundation (Steering Committee) *Anna Mura* IBEC, BIST Barcelona, CSN Foundation (General Organization) *PROGRAM CHAIR* *Vicky Vouloutsi* IBEC, BIST, Barcelona *COMMUNICATION* *Sonja Seidel* University of Freiburg, Germany *Yulia Sandamirskaya* INI, Zurich Univ. and ETH *WORKSHOPS CHAIR* *Falk Esser* University of Freiburg, Germany *LOCAL ORGANIZERS COMMITTEE* *Thomas Speck* University of Freiburg, Germany *Falk Esser* University of Freiburg, Germany *Sonja Seidel* University of Freiburg, Germany -- Vicky Vouloutsi, PhD Postdoc Researcher at the laboratory for Synthetic Perceptive, Emotive and Cognitive Systems (SPECS<http://specs-lab.com/>) mail: vvouloutsi(a)ibecbarcelona.eu<mailto:vvouloutsi@ibecbarcelona.eu> linkedin<https://www.linkedin.com/in/vicky-vouloutsi-28496133/> researchgate<https://www.researchgate.net/profile/Vasiliki_Vouloutsi> tel: +34 934011913 Aquest correu electrònic conté informació confidencial emparada pel secret professional. Qualsevol reproducció, distribució o divulgació del seu contingut estan estrictament prohibides. Si vostè no és el destinatari, li preguem no faci difusió ni copiï el seu contingut i ens ho notifiqui el més aviat possible a l'adreça dataprotection(a)ibecbarcelona.eu Este correo electrónico contiene información confidencial amparada por el secreto profesional. Cualquier reproducción, distribución o divulgación de su contenido están estrictamente prohibidas. Si usted no es el destinatario, le rogamos no difunda ni copie su contenido y nos lo notifique de inmediato a la dirección dataprotection(a)ibecbarcelona.eu This electronic transmission contains confidential information covered by professional secrecy. Any reproduction, distribution or disclosure of its contents is strictly prohibited. If you are not the intended recipient, you are kindly requested not to disseminate nor to copy this transmission and to notify us as soon as possible by email to dataprotection(a)ibecbarcelona.eu .

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Call for Papers for Journal of Neuroscience Methods Special Issue: Multiscale Modelling and Analysis in Neuroscience
by Wong-Lin, Kongfatt 11 Nov '19

11 Nov '19

I am co-editing a Special Issue on Multiscale Modelling and Analysis in Neuroscience in the Journal of Neuroscience Methods. The Special Issue is focused on state-of-the-art: (i) computational modelling techniques; (ii) theoretical, mathematical or numerical methods; (iii) analysis of data; (iv) curation of data; or (v) combinations of the above. For more information, please see: https://www.journals.elsevier.com/journal-of-neuroscience-methods/call-for-… There is an open call for papers for this Special Issue. Both original research and insightful reviews are welcomed. Please contact me or any of the other co-editors if you are interested or have queries. The deadline for submissions is 30th April, 2020. Manuscripts will undergo the normal peer review process as soon as they are submitted. Best, KongFatt Wong-Lin -------------------------- E-mail: k.wong-lin(a)ulster.ac.uk https://www.ulster.ac.uk/staff/k-wong-lin 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

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Computational Neuroscience Research Scientist Faculty Position in Toronto - Krembil Research Institute
by Frances Skinner 09 Nov '19

09 Nov '19

Hello all, Please consider applying for the following position. Position: *Computational Neuroscience Research Scientist* Site: Krembil Research Institute/Toronto Western Hospital Department: Research Reports to: Institute Director Status: Permanent Full-time https://www.recruitingsite.com/csbsites/uhncareers/JobDescription.asp?SiteI… The ideal candidate will have a PhD in a relevant field, research expertise and experience in mathematical and computational modeling, and research interests that complement those of the Institute in neurobiology and neurodegeneration. Candidates whose research interests encompass cellular, micro/macro circuits and/or large scale brain models, and who have collaborative experimental experience are especially encouraged. The successful candidate will have the ability to establish an independent, well-funded program and will be eligible for appointment at the appropriate level within the University of Toronto. Qualified applicants are invited to submit their online application (letter of interest, research plan, curriculum vitae), in PDF format as well as complete some initial screening questions. The search committee will begin to review applications in January with a potential start date in Spring/Summer 2020. Please feel free to contact me if you have any questions. -- Frances Skinner, PhD Krembil Research Institute/UHN and Univ Toronto www.skinnerlab.org

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NeuroFedora: ready to use/install ISO for computational neuroscience available
by Ankur Sinha 08 Nov '19

08 Nov '19

Hello, The NeuroFedora community is pleased to announce its first deliverable: a ready to use/install Fedora based ISO image that includes a plethora of computational neuroscience software[1]. It currently includes: auryn, bionetgen, calcium-calculator, COPASI, qalculate, getdp, genesis-simulator, gnuplot, moose, nest, neuron, neurord, octave, paraview, python3, brian2, ipython, nest, neuron, libNeuroML, neo, nineml, PyLEMS, smoldyn and the Python science stack: matplotlib, jupyter notebook, numpy, pandas, pillow, scikit-image, scikit-learn, scipy, statsmodels, and sympy. The ISO image is a "live" image and can be used without installing the operating system. It can be obtained here[1] with more information on NeuroFedora available here[2,3]. NeuroFedora is a Free/Open Source Software community based volunteer initiative. We are always looking for more volunteers to help with the work[4]. It is an excellent project for students new to computational neuroscience to learn valuable technical skills while aiding the neuroscience community. Feedback is always welcome. Please get in touch using one of our communication channels[5]. [1] https://docs.fedoraproject.org/en-US/neurofedora/install-media/ [2] https://docs.fedoraproject.org/en-US/neurofedora/ [3] https://neuroblog.fedoraproject.org [4] https://docs.fedoraproject.org/en-US/neurofedora/contributing/ [5] https://docs.fedoraproject.org/en-US/neurofedora/communicating/ On behalf of the NeuroFedora community, -- Thanks, Regards, Ankur Sinha (He / Him / His) | https://ankursinha.in PhD candidate in computational neuroscience at UH Biocomputation | http://biocomputation.herts.ac.uk/ Free/Open source community volunteer at the Fedora project | https://fedoraproject.org/wiki/User:Ankursinha Time zone: Europe/London

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PhD in computational neuroscience, University of Edinburgh
by Matthias Hennig 06 Nov '19

06 Nov '19

We invite applications for our fully funded PhD programme in COMPUTATIONAL NEUROSCIENCE and NEUROINFORMATICS at the School of Informatics, University of Edinburgh, for a start in or around September 2020. The studentships are ideal for students who want to apply their computational and analytical skills to problems in neuroscience and related fields. The following supervisors have openings: Douglas Armstrong: Molecular neuroinformatics, network models, behavioural models, molecular drug design. Angus Chadwick (joining early 2020): Visual and spatial processing, network dynamics, neural data analysis. Matthias Hennig: Learning and homeostasis, analysis of large-scale electrophysiological recordings. Arno Onken: Probabilistic models, dimensionality reduction, information theory. Peggy Seriès: Bayesian approaches to cognition and perception, computational psychiatry. Ian Simpson: Regulatory genomics, developmental disorders. Barbara Webb: Perceptual systems for the control of behaviour, robot models of animals. The PhD project can be done in collaboration with one of the many affiliated departments and institutes. Edinburgh has been voted as 'best place to live in Britain', and has many exciting cultural and student activities. Students with a strong background in either computer science, mathematics, physics or engineering are particularly welcome to apply. Motivated students with other backgrounds will also be considered. For more information, see: http://web.inf.ed.ac.uk/anc/research/neuroscience There is no fixed deadline, but applications completed by 29 Nov 2019 will be considered in a first round, with decisions expected by late January 2020. -- The University of Edinburgh is a charitable body, registered in Scotland, with registration number SC005336.

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Competition funded PhD position on computational sensorimotor control @ U of Birmingham and U of Warwick
by Sang-Hoon Yeo 06 Nov '19

06 Nov '19

Title: The integration of visually-guided interception with balance Supervisors: Dr R Reynolds (Bham), Dr Sang-Hoon Yeo (Bham) and Prof James Tresilian (Warwick) Type: Competition Funded PhD Project (European/UK Students Only) Project Description Control of fast interceptive movements is the highlight of human sensorimotor behaviour, whose flexibility and adaptability far surpasses that of any existing robot. The neural control mechanism of interceptive movement remains elusive. For example, when an object that we are reaching for moves unexpectedly, the hand is ‘magnetically’ drawn towards the new object location. These trajectory adjustments occur within a remarkably short latency (<100ms), do not require conscious awareness of the change, and may rely upon sub-cortical neural circuitry[1]. We have demonstrated that this exceptionally fast visuomotor system also controls the lower limb when attempting to step onto a moving target [2]. However, when standing, such automatic adjustments may threaten balance, which is also largely controlled by sub-cortical brain circuitry. For example, reaching for a moving object (e.g. catching a ball), causes a concomitant shift of the centre of mass which disturbs the balance, but we rarely fall. The apparently contradictory requirements of reaching and balancing must therefore be somehow seamlessly integrated at a low neural level. Staying upright in the face of such self-imposed perturbations is natural for humans, but we still do not understand the underlying mechanism(s). For example, attempts to implement such control into bipedal robots often leads to catastrophic falls (see DARPA challenge https://bit.ly/1Il2QVS) This failure to coordinate interception and balance can also lead to human falls as a result of neural degeneration (e.g. ageing). We plan to investigate the integration of these two systems, balance and interception, at both a behavioural and neural level, to address the following questions: How are balance and visually-guided interception integrated, and what are the limits of this process? What neural circuitry underlies this integration? How does normal ageing affect the integration process, and what are the consequences for fall risk? We will address these questions using a combination of techniques from Biomechanics, Neurophysiology and Robotics. To study the integration of balance and interception we will use virtual reality to present visual interception targets. This will allow us to subtly manipulate the relationship between hand and target motion [3]. Limb trajectory will be recorded using motion capture and processed in real-time to manipulate visual feedback. Balance will be simultaneously assessed by measuring ground reaction forces and full-body motion capture. The limits of the integration process (i.e. when do you fall?) will first be tested in young healthy individuals. To understand the neural circuitry we will use Transcranial Magnetic Stimulation (TMS)[4], Electromyography and H-reflexes. These techniques will allow us to determine the relative contribution of cortical and sub-cortical brain areas to these behaviours. This, in turn, will also have relevance for understanding rehabilitation of balance following brain injury. Finally, we will study older adults. This will determine the extent to which the ability to combine interception and balance is compromised by the ageing process, and the relevance for fall risk. Funding Notes This project is funded by the Midlands Integrative Biosciences Partnership. MIBTP is a BBSRC funded Doctoral Training Partnership between the University of Warwick, the University of Birmingham, the University of Leicester and Aston University and Harper Adams University. Successful candidates will start in October 2020. Candidates can apply via the MIBTP website (Weblink coming here soon) but are strongly encouraged to contact Raymond Reynolds for further information prior to applying (r.f.reynolds(a)bham.ac.uk) References 1. B.L. Day, P. Brown, Evidence for subcortical involvement in the visual control of human reaching, Brain. 124 (2001) 2. R.F. Reynolds, B.L. Day, Rapid visuo-motor processes drive the leg regardless of balance constraints, Curr. Biol. 15 (2005). 3. S.H. Yeo, D.W. Franklin, D.M. Wolpert, When Optimal Feedback Control Is Not Enough: Feedforward Strategies Are Required for Optimal Control with Active Sensing, PLoS Comput. Biol. 12 (2016). 4. W. Marinovic, C.S. Reid, A.M. Plooy, S. Riek, J.R. Tresilian, Corticospinal excitability during preparation for an anticipatory action is modulated by the variability of visual information, J. Neurophysiol. 105 (2011).

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