- Comp-neuro - lists.cnsorg.org

DEADLINE NEAR: IBRO-SIMONS COMPUTATIONAL NEUROSCIENCE IMBIZO in CAPE TOWN

by Tim Vogels

Dear all, The DEADLINE for next year’s IMBIZO is approaching very quickly, with only 4 days left. Don’t let this opportunity slip by, if you are hoping to join the most diverse neuroscience summer school at the most beautiful beach in the world! We are very excited to announce that we have three new faculty this year, adding Prof. Eve Marder, of Brandeis University, Gruber and Kavli Prize winner, past president of SfN and generally awesome person in Neuroscience, coming with Prof Arthur Wingfield, also of Brandeis and also awesome person in neuroscience. And Prof. Henning Sprekeler, Technical University Berlin, Bernstein Award winner, and ALSO generally awesome person in neuroscience to our already great roster of lecturers. If you know anyone who would benefit from a diverse and extraordinary computational neuroscience summer school, please forward this information: IBRO-SIMONS COMPUTATIONAL NEUROSCIENCE IMBIZO #isiCNI2020 5 - 26 January 2020, Muizenberg Beach, Cape Town, South Africa http://imbizo.africa/ <http://imbizo.africa/> Application deadline: 8th July 2019 The #isiCNI2020 is a southern hemisphere summer school aiming to promote computational neuroscience in Africa. It will bring together international and local students under the tutelage of the world's leading experts in the field. Like its international sister courses, this three-week summer school aims to teach central ideas, methods, and practices of modern computational neuroscience through a combination of lectures and hands-on project work. Mornings will be devoted to lectures on topics across the breadth of experimental and computational neuroscience. The rest of the day will be spent working on research projects under the close supervision of expert tutors and faculty. Individual research projects will focus on the modelling of neurons, neural systems, behaviour, the analysis of state-of-the-art neural data, and the development of theories to explain experimental observations. Who should apply? This course is aimed at Masters and early-PhD level students though Honours or advanced undergraduates may also apply. Postdoctoral students who can motivate why the course would benefit them are also encouraged to apply, Students should have sufficient quantitative skills, (e.g. a background in mathematics, physics, computer science, statistics, engineering or related field). Some knowledge of neural biology will be useful but not essential. Experimental neuroscience students are encouraged to apply, but should ensure that they have a reasonable level of quantitative proficiency (i.e. at least second-year level mathematics or statistics and have done at least one course in computer programming). Please distribute this information as widely as you can. Essential details * Fee (which covers tuition, lodging, and meals): 1100 EUR Thanks to out generous sponsors, significant financial assistance is available to reduce and waiver fees for students, particlualry for African applicants. We also hope to provide some travel bursaries for interrnational students. If you are in need of financial assistance to attend the Imbizo, please state so clearly in the relevant section of your application. * Application deadline: 30th June 2019 * Notification of results: late August 2019 Information and application https://imbizo.africa/ <http://isicni.gatsby.ucl.ac.uk/> Questions? isicn.imbizo(a)gmail.com <mailto:isicn.imbizo@gmail.com> What is an Imbizo? \ɪmˈbiːzɒ\ | Xhosa - Zulu A gathering of the people to share knowledge. CONFIRMED FACULTY Demba Ba - Harvard University Adrienne Fairhall - Washington University Peter Latham - University College London Timothy Lillicrap - Google DeepMind Eve Marder - Brandeis University Joseph Raimondo - University of Cape Town Srikanth Ramaswamy - EPFL Lausanne Athanassia Papoutsi - IMBB-FORTH Evan Schaffer - Columbia University Anna Schapiro - University of Pennsylvania Henning Sprekeler - Technical University of Berlin Thomas Tagoe - University of Ghana Misha Tsodyks - Weiszmann Institute of Science Tim Vogels - University of Oxford Arthur Wingfield - Brandeis University Byron Yu - Carnegie Mellon University Tutors Everton Agnes University of Oxford Annik Carson - McGill University Chris Currin - University of Cape Town Callie Federer - University of Colorado Grace Lindsay - University College London Richard Pang - University of Washington Organisers Christopher Currin (University of Cape Town, South Africa) Emma Vaughan (Conference Managemant Centre) DIRECTORS Peter Latham (Gatsby Unit for Computational Neuroscience, UCL, UK) Joseph Raimondo (University of Cape Town, South Africa) Tim Vogels (University of Oxford, UK) Sponsors The isiCNI is made possible by the generous support from the Simons Foundation (https://www.simonsfoundation.org <https://www.simonsfoundation.org/>) and the International Brain Research Organisation (IBRO) (http://ibro.info <http://ibro.info/>) Organizational Affiliates University of Cape Town, University College London, University of Oxford, TReND in Africa <http://trendinafrica.org/>, CNCB <http://www.cncb.ox.ac.uk/>, Gatsby Foundation <http://www.gatsby.org.uk/>, IBRO African Center for Advanced Training in Neurosciences at UCT

July 4, 2019

Available Slot for Intensive Talks at CNS 2019 Workshop (W9) on "Neural Multiplexed Coding, Coexistence of Multimodal Coding Strategies in Neural Systems"

by Milad Lankarany

Dear CNS-2019 attendees, Our workshop (*W9*) on "*Neural Multiplexed Coding*" will be held at CNS 2019 (Barcelona), on July 17th. Our workshop hosts 6 prestigious speakers (see our website: https://sites.google.com/view/cns-workshop-on-neural-mux/home) presenting their recent researches in 30-45 minutes, as well as a few number of intensive talks, each lasting 10-15 minutes. This is a new schedule for our workshop that we want to try, i.e., a workshop comprising larger talks (30-45 mins) + short intensive talks (10-15 mins). As the intensive talks are short, we would like to invite more speakers. So, any scientist (preference is given to Postdoc) that participates in CNS 2019 and is interested in our workshop can send me his/her request and the title of the presentation. Email: milad.lankarany(a)uhnresearch.ca or milad.lankarany(a)gmail.com Best Regards, Milad Lankarany, Ph.D. <https://sites.google.com/view/lnsbsp/home?authuser=0>

July 3, 2019

Two Postdoctoral Positions in Auditory Biophysics: Optics & Theory

by Kozlov, Andriy

We welcome applications for postdoctoral candidates with expertise in optics, instrument development, or theoretical modelling who want to apply their skills in the field of the biophysics of hearing. Two positions in Dr. Andrei Kozlov’s lab (www.kozlovlab.com<http://www.kozlovlab.com/>) in the Department of Bioengineering, Imperial College London are supported by a five-year Wellcome Trust Investigator Award: one experimental and one theoretical. We investigate mechano-electrical transduction by hair cells, the receptor cells of the inner ear. These cells can detect and amplify atomic-scale vibrations at thousands of cycles per second. We are interested in understanding the mechanisms underlying this extreme sensitivity. To achieve our goal, we combine novel experimental and theoretical approaches. The experimental position will focus on developing new optical methods, including laser interferometry, and combining them with electrophysiology. Practical knowledge of optics or optomechanics is essential for this work. For more information about this kind of research, see Kozlov et al., Nature, 2011. The theoretical position focuses on modelling mechano-electrical transduction, combining analytical and numerical techniques, and is in collaboration with Dr. Thomas Risler at Institut Curie in Paris. The successful candidate for this role will have a strong background and track record in Theoretical Soft Matter, Statistical Physics or a related discipline. For more information about this kind of research, see Gianoli, Risler and Kozlov, PNAS, 2017. The positions will start between September 2019 and January 2020. Please send the names of three references, a CV with a list of publications and preprints, and an application letter describing your interests and skills. Informal inquiries are welcome. Contact: Andrei Kozlov a.kozlov(a)imperial.ac.uk<mailto:a.kozlov@imperial.ac.uk>

July 3, 2019

PhD Position in Data Science and Modeling in Neuroimaging at Jülich Research Centre (Germany)

by Oleksandr Popovych

PhD Position in Data Science and Modeling in Neuroimaging at Jülich Research Centre and University of Düsseldorf, Germany One PhD position is available in data science and computational modeling with a focus on the data-driven analysis of neuroimaging data in the lab of Prof. Dr. Simon Eickhoff at Jülich Research Centre and University of Düsseldorf in Germany. The PhD candidate will work on projects aiming to study the effective connectivity of functional brain networks derived from task-based and resting-state fMRI data. In particular, applicability, reliability and limitations of the Dynamical Causal Modeling (DCM) approach will be investigated in various large samples of healthy subjects and patients and compared to other approaches. We are specifically looking for candidates with training in data science/computational neuroscience/applied mathematics/physics or related fields and skills in programming and big data analysis. The candidate will be responsible for the preparation and preprocessing of the necessary fMRI data, development and implementation of data analysis pipelines, as well as writing manuscripts for publication. The position provides a unique opportunity to work in an interdisciplinary environment and training in processing, analysis and modeling of neuroimaging data. More details on the lab: http://www.fz-juelich.de/inm/inm-7/EN/ Requirements: Master’s degree in Applied Mathematics, Physics, Engineering, Computer Science or related fields. Experience with neuroimaging data processing and analysis and related software packages (FSL, SPM, MRtrix, etc.). Experience with programming languages such as Matlab/Python/Shell scripts/C/C++. Familiarity with mathematical data modeling, parallel programming and simulations on high-performance computational clusters will be a plus. Strong English-language writing & communication skills. To apply: Please send your CV, MA certificate, names of two referees, a one-page letter of motivation (emphasizing any related work/projects), up to 3 representative publications and/or examples of program code, if available, to Dr. Oleksandr Popovych via email (o.popovych(a)fz-juelich.de) Please mention “PhD application DCM” in the subject. -- --------------------------------------- PD Dr. Oleksandr Popovych Institute of Neuroscience and Medicine (INM-7: Brain and Behaviour) Research Centre Jülich 52425 Jülich, Germany Tel: +49 2461 61 3332 eMail: o.popovych(a)fz-juelich.de http://www.fz-juelich.de/inm/inm-7/EN/Home/home_node.html ------------------------------------------------------------------------------------------------ ------------------------------------------------------------------------------------------------ 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 ------------------------------------------------------------------------------------------------ ------------------------------------------------------------------------------------------------

July 3, 2019

PhD Position in Computational Neuroscience and Neuroimaging at Jülich Research Centre (Germany)

by Oleksandr Popovych

PhD Position in Computational Neuroscience and Neuroimaging at Jülich Research Centre and University of Düsseldorf, Germany One PhD position is available in computational neuroscience with a focus on mathematical modeling of brain dynamics based on neuroimaging data in the lab of Prof. Dr. Simon Eickhoff at Jülich Research Centre and University of Düsseldorf in Germany. The PhD candidate will work on projects involving large-scale dynamical brain models derived from multimodal neuroimaging data (structural, functional & diffusion magnetic resonance imaging, MRI) combined with numerical simulations and analysis of model dynamics and parameter space. We are specifically looking for candidates with training in applied mathematics/computational neuroscience or related fields and experience in programming and numerical simulation of neuronal models/nonlinear dynamical systems. The candidate will be responsible for preparation of necessary neuroimaging data, derivation, validation and analytical and numerical investigation of the whole-brain dynamical models, and writing manuscripts for publication. The position provides an opportunity to work in an interdisciplinary environment and training in mathematical modeling of neuroimaging data and methods for data analysis. More details on the lab: http://www.fz-juelich.de/inm/inm-7/EN/ Requirements: Master’s degree (or equivalent) in Applied Mathematics, Physics, Engineering, Computer Science or a related field. Experience with programming languages such as C/C++/CUDA/Python/Matlab/R. Familiarity with numerical simulations of nonlinear dynamical systems/differential equations/neuronal models. Experience with parallel programming and simulations on high-performance computational clusters will be a plus. Experience with neuroimaging data processing and analysis and related software packages (FSL, SPM, MRtrix, etc.) will be of advantage. Strong English-language writing & communication skills. To apply: Please send your CV, names of two referees, one-page letter of motivation (emphasizing any related work/projects), up to 3 representative publications and/or examples of program code, if available, to Dr. Oleksandr Popovych via email (o.popovych(a)fz-juelich.de) Please mention “PhD application CNS” in the subject. -- --------------------------------------- PD Dr. Oleksandr Popovych Institute of Neuroscience and Medicine (INM-7: Brain and Behaviour) Research Centre Jülich 52425 Jülich, Germany Tel: +49 2461 61 3332 eMail: o.popovych(a)fz-juelich.de http://www.fz-juelich.de/inm/inm-7/EN/Home/home_node.html ------------------------------------------------------------------------------------------------ ------------------------------------------------------------------------------------------------ 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 ------------------------------------------------------------------------------------------------ ------------------------------------------------------------------------------------------------

July 3, 2019

Open Source Brain workshop 9-11 Sept 2019 & new publication

by Gleeson, Padraig

[Apologies if you receive multiple copies of this due to cross-posting] The 2019 Open Source Brain workshop will be held in Alghero, Sardinia on 9-11th September 2019. Full details: http://www.opensourcebrain.org/docs/Help/Meetings#OSB_2019 Open Source Brain (http://www.opensourcebrain.org) is a platform for sharing and collaboratively developing models in computational neuroscience. Models of cells and circuits in standardised formats can be visualised, analysed and simulated through a standard web browser. A key driver for the development of this technology is to improve accessibility, scientific scrutiny, reproducibility and reuse of models of brain function. The platform is described in a recent paper in Neuron: https://www.cell.com/neuron/fulltext/S0896-6273(19)30444-1 The 2019 OSB Workshop will highlight the latest features of OSB and engage current and future users of the platform through invited talks, posters, hands on demonstrations, and user presentations. Since we are substantially expanding the functionality of Open Source Brain to enable sharing of standardized experimental data used to build and test the models of neurons and circuits, this year’s meeting will have two key themes: 1) Accessible sharing of cellular neuroscience data Through support for the Neurodata Without Borders (NWB) format, OSB will facilitate sharing of multiple types of experimental data used to constrain computational models, including electrophysiological recordings, Ca2+ fluorescence imaging, 2D, 3D and 4D imaging and behavioural data. Challenges, requirements and solutions to data standardization will be discussed. 2) Modelling cortical structures across scales Cortical networks are modelled at many scales from abstract representations of interacting populations (neural masses) to networks of biophysically and morphologically detailed cell models. NeuroML is being expanded to cover a greater range of these models, which will allow them to be shared and simulated on OSB, facilitating comparison of models and ideas between researchers. This ongoing work is taking place as part of the SIG on Standardised Representations of Network Structures<https://www.incf.org/activities/standards-and-best-practices/incf-special-i…>. Registration The registration fee for the meeting for 3 days will be £130. This will help cover organisation and speaker costs, meeting room hire, lunch, tea and coffee for 3 days and one workshop dinner. Please register here<https://onlinestore.ucl.ac.uk/conferences-and-events/faculty-of-life-scienc…>. Registration closes on 1st September 2019. Confirmed speakers Yazan Billeh (Allen Institute, USA) Matteo Cantarelli (MetaCell Ltd) Alex Cayco Gajic (UCL, UK & École Normale Supérieure, France) Sharon Crook (Arizona State University, USA) Jeffrey S. Diamond (NINDS, USA) Matt Earnshaw (University College London, UK) Jan Fousek (Aix Marseille Université, France) Padraig Gleeson (University College London, UK) Boris Marin (Universidade Federal do ABC, Brazil) Diego Restrepo (University of Colorado, USA) Simon Schultz (Imperial College, UK) Angus Silver (University College London, UK) Sacha van Albada (Jülich Research Centre, Germany) For more details please see: http://www.opensourcebrain.org/docs/Help/Meetings#OSB_2019 The OSB 2019 organising committee Padraig Gleeson Matt Earnshaw Angus Silver

July 2, 2019

Academic Fellowship positions Computational Neuroscience, Nottingham

by Mark van Rossum

The University of Nottingham is a research intensive university ranked in the top 10 in the UK and in the top 30 of Europe. It has a strong tradition in Cognition, Perception, Mathematical Biology, and structural and functional Imaging research. To support further development across these areas, and stimulate new research opportunities, the University has recently made a major investment in Computational Neuroscience. As part of this investment we are inviting applications for two independent fellowships. The positions are for 3 years, after which the fellows are expected to be competitive candidates for permanent positions at the University. The positions are ideal for researchers with a strong vision that are planning to develop their own research group in a supportive, interdisciplinary environment with outstanding research facilities. We are interested in candidates working across a broad spectrum of research topics areas in Computational Neuroscience, including functional neuroimaging, neural networks, and models of cognition. Research methodologies could include numerical simulation, machine learning, theoretical neuroscience, and innovative data analysis. The Fellows will be based in the School of Psychology and/or Mathematical Sciences. For more info and the online application form see http://jobs.nottingham.ac.uk/SCI215819 For informal inquiries contact Mark van Rossum, mark.vanrossum(a)nottingham.ac.uk, +44-115-7486851 This message and any attachment are intended solely for the addressee and may contain confidential information. If you have received this message in error, please contact the sender and delete the email and attachment. Any views or opinions expressed by the author of this email do not necessarily reflect the views of the University of Nottingham. Email communications with the University of Nottingham may be monitored where permitted by law.

June 30, 2019

【2019ICCBC】International Collegiate Competition for Brain-inspired Computing

by 郑浩

Dear Collegiates, International Collegiate Competition for Brain-inspired Computing [2019 ICCBC] is an annual academic activity hosted by Tsinghua University to provide a platform for international communication and collaboration on issues of integrating neuroscience and computer science to build intelligent machines and solve real-world issues. This contest is organized by the center for brain-inspired computing research [CBICR] at Tsinghua University. We look forward to talents who have insights into these issues. Final will be held in Oct in Tsinghua University. Prize is BIG! Airfare can be partly covered for finalists! More information can be found bellow and on official website: https://contest.cbicr.org/en/ ICCBC 2019 International Collegiate Competition for Brain-inspired Computing What is contest about？ How computation emerges from the human brain is a fundamental and unsolved mystery for general intelligence and behavior. The combination of neuroscience and computer science is considered as the most promising approach to the development of artificial general intelligence (AGI) - one of the most exciting blueprints of this century. How the computational principles in the brain promote artificial intelligence strategies and how to implement silicon-based brain-inspired systems are the key research topics in brain-inspired computing. In this annual contest, we gather global talents who have unique insights into these issues, or who have creative ideas on applications to solve real-world problems. This contest provides a unique platform for the participants to share their knowledge, discuss the state-of-the-art and examine the future challenges of brain-inspired computing. In addition, participants have the opportunity to win decent prizes. What is the expectation? In this year’s contest, we generalize brain-inspired computing to a broader extent, reflecting the integration of neuroscience and computer science on issues related to general intelligence. Themes include Perception, Cognition, Computation and Decision making. Embodiment can be theories, algorithms, hardware, software, application, etc. Two special topics are setup this year. The Education topic aims to promote a better education system based on our knowledge of brain development and AI strategies. The “Hybrid topic” aims to inspire ideas on hybrid computing models. Since heterogeneity is a common feature of neural system, it is of great importance to intelligent behavior but its implementation is not trivial. Hybrid models that integrate AI and spiking neurons are possible approaches. For more details, please go to https://contest.cbicr.org/en/ Organization and partner Host: Tsinghua University Organizer: Office of Scientific R&D, Tsinghua University Center for Brain-Inspired Computing Research Co-organizers: Tsinghua Holdings, Co., Ltd CETHIK Group Corporation Lynxi Technologies Co., Ltd. Awards | Total award amount | RMB 1,000,000 | | Grand prize | RMB 300,000 for one team | | First prize | RMB 100,000 for two teams | | Second prize | RMB 60,000 for three teams | | Third prize | RMB 30,000 for four teams | | Excellence prize | RMB 20,000 for six teams | | Second prize for the preliminary round | RMB 5,000 for 16 teams | Evaluation In accordance with the principles of fairness, impartiality, and openness, all entries will be evaluated based on the following criteria and weightings: Novelty (25%) Technical advancement and difficulty (20%) Completeness and reproducibility (20%) Live presentation and demonstration (15%) Application value and significance (10%) Formality of document reporting (10%) Time Table | Events | Deadline | Comments | | Online application | 28 July 2019 | Login to the official website https://contest.cbicr.org/ and fill in the registration information. | | Entry submission | 15 Sept. 2019 | Document requirements: slide presentation, technical documentation, source code, videos, application executables, etc. | | Finals | 19-20 October 2019 | 16 teams will advance to the finals. Invited Talks and Poster Session on first day Slide Presentation and Awarding on second day | Past review The contest has cumulatively received applications of 444 teams from 131 different universities. The entries covered a large range of aspects including algorithm, software and hardware. In 2018, the team from the Institute of Automation, Chinese Academy of Sciences won the special award and was awarded 300 thousand RMB in cash. For more details, please refer to the official web “Past review”: https://contest.cbicr.org/en/index.php?id=27 Contact Official website: https://contest.cbicr.org/en/ for more details Tel: (+86) 010-62787245 Email: contest(a)cbicr.org Info about Organizer The Center for Brain Inspired Computing Research (CBICR) was established in September 2014 at Tsinghua University. It is the first research center in China to advance brain-inspired intelligence, covering neural functional, computing theory, neural coding, machine learning algorithms, operational systems, programming software, system integration, architecture design, chip processing, material science and nanotechnology. The center consists of 35 affiliated faculties from seven departments at Tsinghua University, including neuroscience science, electronic engineering, microelectronics, computer science, automation, material science and precision instrument, with the goal of innovations on interdisciplinary research. The center focuses on the development of brain-inspired computing by integrating neuroscience and computer science. -- ICCBC Team

June 30, 2019

[DEADLINE EXTENSION]: The 2nd International Workshop on Machine Learning in Clinical Neuroimaging (MLCN 2019): ENTERING THE ERA OF BIG DATA VIA TRANSFER LEARNING AND DATA HARMONIZATION

by MLCN Workshop

Dear Colleagues,The submission deadline for MLCN 2019 workshop as a satellite event of the MICCAI 2019 conference has been extended to 14/07/2019. For more information, please visit https://mlcnws.com/call-for-papers/ . Call for Papers Recent advances in neuroimaging and machine learning provide an exceptional opportunity for investigators and physicians to discover complex relationships between brain, behaviors, and mental and neurological disorders. The MLCN 2019 workshop (https://mlcnws.com) as a satellite event of MICCAI 2019 (https://www.miccai2019.org) aims to bring together researchers in both theory and application from various fields in domains such as *e.g.* machine learning, neuroimaging, predictive clinical neuroscience, *etc.* Topics of interests include, but are not limited to: - Transfer learning in clinical neuroimaging - Model stability in transfer learning - Data prerequisites for successful transfer learning - Domain adaptation in neuroimaging - Data harmonization across sites - Data pooling – practical issues - Cross-domain learning in neuroimaging - Interpretability for transfer learning - Unsupervised methods for domain adaptation - Multi-site data analysis, from preprocessing to modeling - Big data in clinical neuroimaging - Scalable machine learning methods - Benefits, problems, and solutions of working with very large datasets SUBMISSION PROCESS: The workshop seeks high quality, original, and unpublished work on algorithms, theory, and applications of machine learning in clinical neuroimaging related to big data, transfer learning, and data harmonization. Papers should be submitted electronically in Springer Lecture Notes in Computer Science (LCNS) style ( https://www.springer.com/gp/computer-science/lncs/conference-proceedings-gu…) with up to 8-pages and using the CMT system at https://cmt3.research.microsoft.com/MLCN2019. The MLCN workshop uses a double-blind review process in the evaluation phase, thus authors must ensure anonymous submissions. Accepted papers will be published in a joint proceeding with the MICCAI 2019 conference. IMPORTANT DATES: - Paper submission deadline: July 14, 2019 (23:59 PST) - Notification of Acceptance: August 5, 2019 - Camera-ready Submission: August 12, 2019 - Workshop Date: October 13, 2019 Best regards, MLCN 2019 Organizing Committee <https://mlcnws.com/organization/>, Email: mlcnworkshop(a)gmail.com Website: https://mlcnws.com/ twitter: @MLCNworkshop <https://twitter.com/MLCNworkshop>

June 30, 2019

Neuronal Oscillations Workshop at CNS-2019 - July 17, 2019 - Barcelona + Data Blitz

by Horacio G. Rotstein

Dear All, We would like to call your attention to the CNS-2019 ( https://www.cnsorg.org/cns-2019) workshop on "Neuronal Oscillations: mechanisms, computational properties, and functionality" on July 17, 2019. Please check the information here <http://www.vassiliscutsuridis.org/workshops/CNS2019/CNS2019web.htm> http://www.vassiliscutsuridis.org/workshops/CNS2019/CNS2019web.htm The CNS workshops originated as a spontaneous gathering of CNS participants interested in discussing a specific topic. In order to revive this tradition and give the opportunity to the community to interact, this year we are including a *data blitz* session. CNS participants interested in briefly presenting their work are encouraged to do so. It will be helpful if you contact us in advance to be able to plan. Looking forward to seeing you in Barcelona Horacio -- Horacio, NY/NJ area. Horacio G. Rotstein, PhD (he/him/his) Professor Mathematical Biology & Computational Neuroscience BioDatanamics Lab Federated Department of Biological Sciences Rutgers University / New Jersey Institute of Technology Newark, NJ, 07102, USA. Graduate Faculty Behavioral Neurosciences Program Rutgers University (NWK) tel: (1-973) 596-8460 e-mail: horacio(a)njit.edu horacior(a)andromeda.rutgers.edu <horacio(a)njit.edu> http://web.njit.edu/~horacio

June 29, 2019

Fw: Research Associate Position in Early detection of Alzheimer's

by Dr. Krishna Miyapuram

Applications are invited from interested and motivated candidates for the post of Research Associate in a time-bound research project funded by India-Trento Programme for Advanced Research for a temporary period purely on contractual basis. Principal Investigator Dr. Krishna Prasad Miyapuram. Project Title Early detection of Alzheimer’s using Individualized Brain Atlases and Machine Learning. Name of the Post Research Associate. Salary Rs. 36000/- + HRA (subject to revision as per DST norms). Essential Qualification PhD in Psychology, Cognitive Science, Neuroscience, Computer Science, Electrical Engineering, Biomedical Engineering, or any other related field. Desirable Qualification Previous knowledge of structural and functional MRI, Brain Imaging Techniques, Programming experience in Matlab, Brain connectivity Analysis, Familiarity with Machine Learning techniques. Tenure The appointment will be for One Year duration. How to Apply Interested candidates should apply by sending a CV by e-mail to the PI Dr Krishna Prasad Miyapuram Assistant Professor (HSS & CSE) Indian Institute of Technology – Gandhinagar (email: kprasad(a)iitgn.ac.in) preferably before July 5th, 2019. The applications will remain open until the Position is filled. Selection will be based on the interview (by telephone for outstation candidates). Shortlisted candidates will be intimated well in advance the date and time of the interview. Contact E-mail: kprasad(a)iitgn.ac.in.

June 28, 2019

Two related articles on Efficient Coding in the Brain

by Jeff Krichmar

Dear Colleagues, I don’t usually like to post papers to these lists. But, I thought it was more than just a coincidence that two papers from our group on how the brain efficiently represents information came out today. Hope you enjoy. Feedback is most welcome. "Neural correlates of sparse coding and dimensionality reduction” M Beyeler, EL Rounds, KD Carlson, N Dutt, and JL Krichmar PLoS Computational Biology https://journals.plos.org/ploscompbiol/article?id=10.1371/journal.pcbi.1006… "Making BREAD: Biomimetic Strategies for Artificial Intelligence Now and in the Future” JL Krichmar, W Severa, MS Khan, JL Olds Frontiers in Neuroscience - Neuromorphic Engineering Section https://www.frontiersin.org/articles/10.3389/fnins.2019.00666/full Best regards, Jeff Krichmar Department of Cognitive Sciences 2328 Social & Behavioral Sciences Gateway University of California, Irvine Irvine, CA 92697-5100 jkrichma(a)uci.edu http://www.socsci.uci.edu/~jkrichma

June 28, 2019

Modeller's Workshop for the Brain Dynamics Toolbox, 1-19 July 2019.

by Stewart Heitmann

Modeller’s Workshop for the Brain Dynamics Toolbox Online Course July 1-19, 2019 The Brain Dynamics Toolbox is an open toolbox for simulating dynamical systems in neuroscience. This on-line course is for researchers, students and instructors 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. https://bdtoolbox.org/p/modellers-workshop/ Important Dates Early-bird enrolments ($100) close Friday 7th July, 2019. Late enrolments ($150) close Friday 19th July, 2019. Lifetime Access This is a self-paced on-line course. After enrolling, students have unlimited lifetime access to the course materials. Stewart Heitmann | Computational Scientist Victor Chang Cardiac Research Institute | Lowy Packer Building | 405 Liverpool St, Darlinghurst NSW 2010 Australia E: s.heitmann(a)victorchang.edu.au | @VictorChangInst ______________________________________________________________________ The Victor Chang Cardiac Research Institute's Email is scanned by the MessageLabs Email Security System.

June 27, 2019

Postdoctoral position at the University of Pittsburgh

by Anna Manelis

*Postdoctoral Position opening at the University of Pittsburgh in neuroimaging of mood disorders* Candidates are being considered for a post-doctoral associate position in the Anticipation, Cognition and Emotion lab ( www.ace.pitt.edu ) at the University of Pittsburgh (http://www.pitt.edu) to work with Dr. Anna Manelis and her team. A successful candidate will work on the NIMH funded research project that uses multimodal neuroimaging (fMRI, MRI, DTI and fNIRS) to understand the contribution of anticipatory processing to cognitive and emotional dysfunction in individuals with mood disorders. Pittsburgh is a vibrant community which promotes diversity and collaboration within its university and medical systems. Our lab works in conjunction with the University of Pittsburgh Medical Center to perform neuroimaging studies which will help us to better understand mood disorders, including major depressive disorder and bipolar disorders. *Required Qualification*s: we are seeking a highly motivated candidate with a PhD degree (or anticipated PhD degree) in psychology, cognitive neuroscience, computational neuroscience or a related discipline. A strong research background in the analysis and interpretation of neuroimaging data is required. A successful candidate will have excellent writing and communication skills. Candidates with a strong computational background are encouraged to apply. Experience with FSL, Freesurfer and E-prime is preferred. The ability to program in Shell, Matlab, Python and/or R is preferred. Experience with fNIRS, graph modeling and pattern classification analyses is a plus. While prior experience with clinical populations is not necessary, we expect candidates to be interested in neuroimaging research of working and episodic memory and/or anticipatory and emotional processing in individuals with mood disorders. *Responsibilities*: · Help to run fMRI/fNIRS experiments · Analyze fMRI, MRI, DTI and fNIRS neuroimaging data · Write manuscripts · Present findings from studies at conferences This is a full-time position that can be extended to 3 years. We are looking for someone to join our lab in Fall 2019 (with some flexibility). This position is funded by the NIMH and salary will vary based on experience. If you are interested in this position, please send a CV, research statement, preprints/reprints of papers, and the names and contact information for two references to *Anna Manelis (manelisa(a)upmc.edu <manelisa(a)upmc.edu>).*

June 27, 2019

Paper: Forward propagation closed loop learning

by Bernd Porr

Dear all, we have a new paper out where we have propagated errors forwards (and not backwards): "For an autonomous agent, the inputs are the sensory data that inform the agent of the state of the world, and the outputs are their actions, which act on the world and consequently produce new sensory inputs. The agent only knows of its own actions via their effect on future inputs; therefore desired states, and error signals, are most naturally defined in terms of the inputs. Most machine learning algorithms, however, operate in terms of desired outputs. For example, backpropagation takes target output values and propagates the corresponding error backwards through the network in order to change the weights. In closed loop settings, it is far more obvious how to define desired sensory inputs than desired actions, however. To train a deep network using errors defined in the input space would call for an algorithm that can propagate those errors forwards through the network, from input layer to output layer, in much the same way that activations are propagated. In this article, we present a novel learning algorithm which performs such ‘forward-propagation’ of errors. We demonstrate its performance, first in a simple line follower and then in a 1st person shooter game." https://journals.sagepub.com/doi/10.1177/1059712319851070 The PDF of the accepted submission version can be found on my personal homepage: https://www.berndporr.me.uk/Porr_Miller_FCL_2019_Adaptive_Behaviour.pdf https://www.berndporr.me.uk/publications.php The code is available here: https://github.com/glasgowneuro/feedforward_closedloop_learning A video clip of the learning behaviour of a simple FPS agent is here: https://www.youtube.com/watch?v=QLVDBdlAQLY Best, /Bernd Porr & Paul Miller -- www: http://www.tinnitustailor.tech http://www.attys.tech http://www.glasgowneuro.tech http://www.berndporr.me.uk Mobile: +44 (0)7840 340069

June 27, 2019

LAST DAYS to register to the Summer School in Computational and Theoretical Models in Neuroscience, Venice, Italy

by suweis infn

ConTaMiNEURO 2019 Summer school ,Venice, Italy (September 9th - September 14th, 2019) - LAST DAYS TO REGISTER I would like to bring to your attention to the Summer School in Computational and Theoretical Models in Neuroscience, ConTaMiNEURO 2019 <http://neuroschool19.liphlab.com/> Thanks to the support of our sponsor, in particular the University of Padova and the newborn Padova Neuroscience Center (PNC <http://pnc.unipd.it/>), the early bird registration fee for Ph.Ds students and Post Docs is 200 Euro, DEADLINE is 30 June 2019. FEW PLACES STILL AVAILABLE ConTaMiNEURO 2019 <http://neuroschool19.liphlab.com/> wants to convey central ideas, methods, and practices of modern computational neuroscience through a combination of lectures, tutorials and seminars. During the course’s mornings, distinguished international faculty deliver lectures and seminars on selected topics in computational neuroscience (see below). For the remainder of the time, students work on research projects under close supervision of tutors and faculty. Research projects will include data analyses and the development of theories to explain experimental observations. The School is will take place from 9 to 14 September at palazzo Ca Bottacin of the University Ca’Foscari, in the heart of Venice. All the details can be found at the school website: http://neuroschool19.liphlab.com/ <http://neuroschool19.liphlab.com/> ConTaMiNEURO 2019 <http://neuroschool19.liphlab.com/> is co-organized by Samir Suweis, Amos Maritan, Maurizio Corbetta, Marco Formentin, Stefano Vassanelli (University of Padova), Achille Giacometti (University of Venice) and Miguel A. Munoz (University of Granada). Invited Speakers Ken Miller, Columbia University, USA. Yiota Poirazi, IMBB-FORTH, Creta. Nicolas Brunel*, Duke University, USA. Andrea Brovelli, University of Marsille. Jordi Soriano, University of Barcellona Mazzuccato Luca, Columbia University & University of Oregon Stefano Panzeri, IIT Rovereto Jesus Cortes, IKERBASQUE: The Basque Foundation for Science Lucilla De Arcangelis, University of Naples Raffaella Burioni, University of Parma Gustavo Deco, Pompeu Fabra University, Barcelona Susanne Ditlevsen, University of Copenaghen Alessandro Treves, Trieste SISSA Misha Tsodyks, Weizmann Institute of Science Marco Zorzi, University of Padova Lamberto Ballan, University of Padova Eleni Vasilaki, University of Shieffield Marcello Pelillo, European Center of Living Techonology & University of Venice Tommaso Fellin, IIT Genova Maria Victoria Sánchez Vives , ICREA-IDIBAPS (Barcelona) Marco dal Maschio, University of Padova Serena del Santo, University of Granada Lorenzo Fontolan, Janelia Farm - - - - - - - - - - - - - - - - - - - - - - - - - - - - - Ass. Prof. Samir Suweis Physics Dept., University of Padova www.liphlab.com @SamirSuweis Tel: +39 049 827 71 74

June 26, 2019

The 3rd International Neural Dynamics Summer School 2019

by Conor Houghton

We are offering twelve fully funded positions on the Wellcome Trust sponsored summer school for training and research experience in neural dynamics (TRENDs). This is an opportunity for undergraduate and Masters students to experience experimental and computational neuroscience research. More info can be found here: http://www.bristol.ac.uk/neural-dynamics/information/trends/ 04/09/2019 – 06/09/2019 Bristol University, UK The training and research in neural dynamics summer school is an exciting Wellcome Trust funded course held at the University of Bristol. The aim is to introduce young scientists to experimental and computational techniques used in neuroscience research. The summer school will be a three-day course made up of a series of seminars and lab visits where successful candidates will get first hand experience of electrophysiological recordings (both in vitro and in vivo), EEG recordings, brain imaging, optogenetics, data analysis workshops and practical classes on learning to code in Python. No prior experience is necessary, but a keen interest is essential! We welcome applications from science undergraduates from a wide range of backgrounds (Physics, Engineering, Maths, Computer Science, Neuroscience, Psychology etc.). For successful applicants all costs to attend the course, including travel expenses within the UK, accommodation and food will be covered. Overseas travel expenses will be considered on a case by case basis. Deadline 3 July, 2019 All the best Conor

June 26, 2019

3 year postdoc position available

by Dietmar Heinke

The Computational Psychology Lab (https://comp-psych.bham.ac.uk/ ) seeks to recruit a full-time postdoctoral-level Research Fellow for a research project titled "Integrating vision and action through selection history". It is funded by two bodies, UK Research and Innovation (ESRC) and US-funding agency NSF (National Science Foundation). The US collaborator is Professor Joo-Hyun Song, Brown University https://www.brown.edu/academics/cognitive-linguistic-psychological-sciences… The project aims at advancing our understanding of how humans execute visually-guided reaching in multi-object environments. It takes a highly interdisciplinary approach by combining computational modelling and empirical work. The research will be based on earlier work published here: Strauss, S., Woodgate, P.J.W., Sami, S. A., & Heinke, D. (2015) Choice reaching with a LEGO arm robot (CoRLEGO): The motor system guides visual attention to movement-relevant information. Neural Networks, 72, 3-12. http://dx.doi.org/10.1016/j.neunet.2015.10.005<http://dx.doi.org/10.1016/j.neunet.2015.10.005> Informal enquiries should be directed to Dietmar Heinke at D.G.HEINKE(a)bham.ac.uk Closing date: 24 July 2019 An on-line application can be submitted at the bottom of this page: https://bham.taleo.net/careersection/external/jobdetail.ftl?job=19000076&tz… Main Duties/Responsibilities * Undertake work within the specified research grant (ES/T002409/1): * Extend CoRLEGO to model data collected by Professor Joo-Hyun Song * Compare models using Bayesian methods * Conduct behavioural experiments under guidance of Professor Joo-Hyun Song * Disseminate research findings for publication, research seminars, etc. * Supervise students on research related work and provide guidance to PhD students where appropriate to the discipline * Contribute to knowledge transfer in computational modelling and related areas that is of benefit to the College and the University, often under supervision of the Principle investigator * Contribute to public engagement activities * Contribute to generating funding and writing bids Person Specification Skills and Knowledge: * Programming skills (preferably in MatLab), mathematical skills Experience in at least three of the following fields: * Robotics, computer vision, computational modelling, behavioural science (human vision or/and movement control), Bayesian statistics, Markov Chain Monte Carlo (MCMC) methods, Dynamic neural fields Generic skills: * Ability to communicate complex information clearly * Ability to work in an interdisciplinary project * Understanding of and ability to contribute to broader management/administration processes Qualifications * PhD preferably in electrical engineering, computer science, physics or mathematics

June 25, 2019

WCCI2020 Glasgow, Scotland - Call for papers

by Stefan Wermter

*IEEE World Congress on Computational Intelligence* WCCI2020 Facebook <https://urldefense.proofpoint.com/v2/url?u=https-3A__www.facebook.com_wcci2…> WCCI2020 Twitter <https://urldefense.proofpoint.com/v2/url?u=https-3A__twitter.com_wcci2020&d…> 19-24 July 2020, Scottish Event Campus <https://urldefense.proofpoint.com/v2/url?u=https-3A__www.sec.co.uk_&d=DwMFa…>, Glasgow. wcci2020.org <https://urldefense.proofpoint.com/v2/url?u=https-3A__wcci2020.org_&d=DwMFaQ…> On behalf of the WCCI Organizing Committee <https://urldefense.proofpoint.com/v2/url?u=https-3A__wcci2020.org_-3Fpage-5…>, it is our great pleasure to invite you to the IEEE World Congress on Computational Intelligence. The 2020 IEEE World Congress on Computational Intelligence (IEEE WCCI 2020) is the world's largest technical event in the field of computational intelligence. IEEE WCCI 2020 will host three flagship conferences under one roof : * IJCNN - International Joint Conference on Neural Networks (cooperation between IEEE-CIS & INNS) * FUZZ-IEEE - IEEE International Conference on Fuzzy Systems * IEEE-CEC - IEEE Congress on Evolutionary Computation This encourages cross-fertilisation of ideas among the three big areas and provides a forum for intellectuals from all over the world to discuss and present their research findings on computational intelligence. *Important deadlines: <https://urldefense.proofpoint.com/v2/url?u=https-3A__wcci2020.org_&d=DwMFaQ…>* 15Nov2019 Special Session & Workshop Proposals 15Dec2019 Competition & Tutorial Proposals 15Jan2020 Paper submission 15Mar2020 Paper Acceptance Notification 15Apr2020 Final paper submission & Early registration 19-24Jul2020 Conference Dates ------------------------------------------------------------------------ *Calls: <https://urldefense.proofpoint.com/v2/url?u=https-3A__www.wcci2020.org_wp-2D…>* (click to see pdf description) *Call for Papers <https://urldefense.proofpoint.com/v2/url?u=https-3A__www.wcci2020.org_wp-2D…> : * Papers for IEEE WCCI 2020 should be submitted electronically using the Congress website www.wcci2020.org and will be refereed by experts in the fields and ranked based on the criteria of originality, significance, quality and clarity. *Call for Special Sessions: * IEEE WCCI 2020 solicits proposals for special sessions within the technical scope of the three conferences. Special sessions are to be organized by internationally recognized experts, aim to bring together researchers in special focused topics. Cross-fertilization of the three technical disciplines and newly emerging research are strongly encouraged. Inquiries regarding special sessions and proposals should be addressed to Special Sessions Chairs : Richard Duro, University of A Coruña. Spain <mailto:Richard Duro. Special Session Co-Chair. WCCI2020 Glasgow. Uof A Coru%C3%B1a. Spain<richard(a)udc.es>?subject=WCCI2020%20Glasgow,%20UK%20-%20FUZZ%20Special%20Sessions%20Inquiry&body=Add%20your%20[questions,%20comments],%20then%20send.> Humberto Bustince, Public University of Navarra, Pamplona, Spain <mailto:Humberto Bustince. Special Session Co-Chair. WCCI2020 Glasgow. Public Uof Navarra. Pamplona. Spain<bustince(a)unavarra.es>?subject=WCCI2020%20Glasgow,%20UK%20-%20CEC%20Special%20Sessions%20Inquiry&body=Add%20your%20[questions,%20comments],%20then%20send.> David Corne, Heriot-Watt University, Scotland, UK <mailto:David Corne. Special Session Co-Chair. WCCI2020 Glasgow. Heriot-Watt U. Scotland. UK<dwcorne(a)gmail.com>?subject=WCCI2020%20Glasgow,%20UK%20-%20IJCNN%20Special%20Sessions%20Inquiry&body=Add%20your%20[questions,%20comments],%20then%20send.> Xiao-Jun Zeng, University of Manchester, UK <mailto:Xiao-Jun Zeng. Special Session Co-Chair. WCCI2020 Glasgow. Uof Manchester. UK<x.zeng(a)manchester.ac.uk>?subject=WCCI2020%20Glasgow,%20UK%20-%20Cross-disciplinary%20and%20Applications%20Special%20Sessions%20Inquiry&body=Add%20your%20[questions,%20comments],%20then%20send.> *Call for Tutorials: * IEEE WCCI 2020 will feature pre-Congress tutorials, covering fundamental and advanced topics in computational intelligence. A tutorial proposal should include title, outline, expected enrollment, and presenter/organizer biography. Inquiries regarding tutorials should be addressed to Tutorials Chairs : Barbara Hammer, Bielefeld University, Germany <mailto:Barbara Hammer. Tutorial Session Co-Chair. WCCI2020 Glasgow. Bielefeld U. Germany<bhammer(a)techfak.uni-bielefeld.de>?subject=WCCI2020%20Glasgow,%20UK%20-%20Tutorials%20Inquiry&body=Add%20your%20[questions,%20comments],%20then%20send.> Plamen Angelov, Lancaster University, UK <mailto:Plamen Angelov. Tutorial Session Co-Chair. WCCI2020 Glasgow. Lancaster U. UK<p.angelov(a)lancaster.ac.uk>?subject=WCCI2020%20Glasgow,%20UK%20-%20Tutorials%20Inquiry&body=Add%20your%20[questions,%20comments],%20then%20send.> Ponnuthurai Suganthan, Nanyang Technological University, Singapore <mailto:Ponnuthurai Suganthan. Tutorial Session Co-Chair. WCCI2020 Glasgow. Nanyang TechU. Singapore<epnsugan(a)ntu.edu.sg>?subject=WCCI2020%20Glasgow,%20UK%20-%20Tutorials%20Inquiry&body=Add%20your%20[questions,%20comments],%20then%20send.> *Call for Competitions: * IEEE WCCI 2020 will host competitions to stimulate research in computational intelligence. A competition proposal should include descriptions of the problem(s) addressed, evaluation procedures, and a biography of the organizers. Inquiries regarding competitions should be addressed to the Competitions Chairs : Huanhuan Chen, University of Science and Technology of China, China <mailto:Huanhuan Chen. Competition Co-Chair. WCCI2020 Glasgow. Uof Science and Technology of China. China<hchen(a)ustc.edu.cn>?subject=WCCI2020%20Glasgow,%20UK%20-%20Competitions%20Inquiry&body=Add%20your%20[questions,%20comments],%20then%20send.> Jialin Liu, Southern University of Science and Technology, Shenzhen, China <mailto:Jialin Liu. Competition Co-Chair. WCCI2020 Glasgow. Southern UofS&T. Shenzhen. China<liujl(a)sustc.edu.cn>?subject=WCCI2020%20Glasgow,%20UK%20-%20Competitions%20Inquiry&body=Add%20your%20[questions,%20comments],%20then%20send.> Bill Buchanan, Edinburgh Napier University, UK <mailto:Bill Buchanan. Competition Co-Chair. WCCI2020 Glasgow. Edinburgh Napier U. UK<B.Buchanan(a)napier.ac.uk>?subject=WCCI2020%20Glasgow,%20UK%20-%20Competitions%20Inquiry&body=Add%20your%20[questions,%20comments],%20then%20send.> Christos Panayiotou, University of Cyprus, Cyprus <mailto:Christos Panayiotou. Competition Co-Chair. WCCI2020 Glasgow. Uof Cyprus. Cyprus<christospspamucy.ac.cy>?subject=WCCI2020%20Glasgow,%20UK%20-%20Competitions%20Inquiry&body=Add%20your%20[questions,%20comments],%20then%20send.> *Call for Workshops: * The 2020 IEEE WCCI invites proposals for workshops to be held in conjunction with the main event. The overall purpose of a workshop is to provide participants with the opportunity to present and discuss novel research ideas on active and emerging topics of Computational Intelligence. Topics of the proposed workshops should therefore be aligned with those set forth in the call for papers for the main event. Prospective workshop organizers are invited to submit their proposals to the Workshops Chairs below: Ali Minai, University of Cincinnati, USA <mailto:Ali Minai. Workshop Co-Chair. WCCI2020 Glasgow. Uof Cincinnati. USA<ali.minai(a)uc.edu>?subject=WCCI2020%20Glasgow,%20UK%20-%20Workshops%20Inquiry&body=Add%20your%20[questions,%20comments],%20then%20send.> Lipo Wang, National Technological University of Singapore <mailto:Lipo Wang. Workshop Co-Chair. WCCI2020 Glasgow. National TechU. Singapore<elpwang(a)ntu.edu.sg>?subject=WCCI2020%20Glasgow,%20UK%20-%20Workshops%20Inquiry&body=Add%20your%20[questions,%20comments],%20then%20send.> ------------------------------------------------------------------------ *Venue: * IEEE WCCI 2020 will be held in Glasgow, Scotland, UK - one of Europe's most dynamic cultural capitals and the "World's Friendliest City" [Rough Guide 2015]. Steeped in culture, rich in history and alive with an excitement you can sense as you walk through its elegant Victorian streets, squares, parks and gardens. The Conference will be held at the prestigious Scottish Event Campus (SEC) <https://urldefense.proofpoint.com/v2/url?u=https-3A__www.sec.co.uk_&d=DwMFa…>, which was a key venue for the 2014 Glasgow Commonwealth Games. ------------------------------------------------------------------------ * IEEE WCCI 2020 General Co-Chairs * Amir Hussain <mailto:Amir Hussain. General Co-Chair. WCCI2020 Glasgow. Edinburgh Napier U. Scotland. UK<hussain.doctor(a)gmail.com>?subject=WCCI2020%20Glasgow,%20UK%20-%20General%20Inquiry&body=If%20your%20[questions,%20comments]%20are%20related%20to%20the%20Calls%20above,%20or%20to%20the%20responsibilities%20of%20Organizing%20Committee%20as%20listed%20at%20https://www.ijcnn.org/organizing-committee%20,%20please%20contact%20the%20appropriate%20Chair%20directly.%20%20I%20would%20be%20happy%20to%20answer%20%20your%20other%20[questions,%20comments].%20%20Please%20add%20them%20below,%20then%20send.> Founding Head of the Cognitive Big Data and Cybersecurity (CogBiD) Research Lab, Edinburgh Napier University, Scotland, Marios Polycarpou <mailto:Marios Polycarpou. General Co-Chair. WCCI2020 Glasgow. Uof Cyprus<mpolycar(a)ucy.ac.cy>?subject=WCCI2020%20Glasgow,%20UK%20-%20General%20Inquiry&body=If%20your%20[questions,%20comments]%20are%20related%20to%20the%20Calls%20above,%20or%20to%20the%20responsibilities%20of%20Organizing%20Committee%20as%20listed%20at%20https://www.ijcnn.org/organizing-committee%20,%20please%20contact%20the%20appropriate%20Chair%20directly.%20%20I%20would%20be%20happy%20to%20answer%20%20your%20other%20[questions,%20comments].%20%20Please%20add%20them%20below,%20then%20send.> Director of the KIOS Research and Innovation Center of Excellence, University of Cyprus, Nicosia, Cyprus Xin Yao <mailto:Xin Yao. General Co-Chair. WCCI2020 Glasgow. Southern Uof S&T. China<x.yao(a)cs.bham.ac.uk>?subject=WCCI2020%20Glasgow,%20UK%20-%20General%20Inquiry&body=If%20your%20[questions,%20comments]%20are%20related%20to%20the%20Calls%20above,%20or%20to%20the%20responsibilities%20of%20Organizing%20Committee%20as%20listed%20at%20https://www.ijcnn.org/organizing-committee%20,%20please%20contact%20the%20appropriate%20Chair%20directly.%20%20I%20would%20be%20happy%20to%20answer%20%20your%20other%20[questions,%20comments].%20%20Please%20add%20them%20below,%20then%20send.> Chair, Dept of Computer Science and Engineering, Southern University of Science & Technology, Shenzhen, Guangdong, China *********************************************** Professor Dr. Stefan Wermter Chair of Knowledge Technology Department of Computer Science University of Hamburg Vogt Koelln Str. 30 22527 Hamburg, Germany Email: wermter AT informatik.uni-hamburg.de http://www.informatik.uni-hamburg.de/~wermter/ http://www.informatik.uni-hamburg.de/WTM/ ***********************************************

June 25, 2019

[meetings] Call for contributions: Workshop on "Role of movement-based active perception in navigation and its neurorobotic correlates" at SWARM 2019, Okinawa, Japan

by Danish Shaikh

Call for contributions ----------------------------- Workshop on "Role of movement-based active perception in navigation and its neurorobotic correlates" at SWARM 2019: The 3rd International Symposium on Swarm Behavior and Bio-Inspired Robotics, Okinawa, Japan Date: November 22, 2019 Location: Okinawa Institute of Science and Technology, Onna-son, Okinawa, Japan Workshop url: https://arilab.unit.oist.jp/swarm2019/#ws Workshop overview ---------------------------- Active perception in animals involves executing behaviours that move sensory appendages (e.g. eyes, pinnae, antennae or whiskers) in space to increase flow of sensory stimuli as well as the sampled information content. This increased sampling can significantly improve the animal's understanding of its environment. In this context, perception (interpretation of sensory stimuli) and action (behaviours that move the sensory appendages) are tightly coupled. Several biological studies have identified the important role of movement-based active sensing for increasing sensory volumes and many robotic studies have investigated the principles underlying active perception in adaptive behaviour. Insects and rodents are very promising model organisms to study active perception, as they possess highly mobile sensory appendages, a wide variety of sensilla and a well-studied nervous system. The neurorobotic approach, i.e. developing robotic models of biological neural mechanisms, is well-suited for hypothesis-testing as it allows one to isolate and embed the neural mechanism of interest within an artificial body that can sense and act in the real world. This relieves scientists from the task of modelling the statistics of sensory stimuli, as the real world provides these statistics for free. This full day workshop brings together leading experts, from both biology and neurorobotics perspectives, to shed light on the principles underlying active antennal perception as well as its neural correlates and discuss the neurorobotic approach to modelling active perception. Learning outcomes: - Understanding the basic concepts and principles of active perception - Knowledge of neural correlates of active perception - Knowledge of embodied AI and the neurorobotic approach - Applying these concepts and knowledge in developing agents/robots that utilise actively moving antennae to execute navigation behaviours such as taxis The full-day workshop consists of: - Theory (lectures): Invited talks by experts from biology and neurorobotics, - Practice tutorial: Hypothesis-testing via neurorobots in simulated and/or real-world navigation tasks, - Discussion and future directions Submission guidelines ------------------------------ Contributions in the form of 1 page conf. style abstract on active perception. This includes both studies in biological organisms as well as in robots. All abstracts must be formatted in the SWARM conference style, templates for which can be found here - https://arilab.unit.oist.jp/swarm2019/#submission Selected contributions will be presented in a form of a poster during the workshop. We particularly encourage young scientists to contribute their research results (reporting early-stage research where results are not yet available is welcome as well). We also welcome live robot demonstrations on active perception models. Submissions have to be sent to danish[at]mmmi.sdu.dk (please replace [at] with @) in PDF format only. One author per accepted workshop contribution (poster and/or demo) is required to register for and attend the workshop to present the accepted abstract. Outstanding contributions might be selected for oral presentations. Relevant dates -------------------- Deadline for abstract submission: August 21, 2019 Anywhere on Earth time - https://time.is/Anywhere_on_Earth Notification of acceptance: September 21, 2019 Workshop: November 22, 2019 Tentative list of speakers ---------------------------------- - Einat Couzin-Fuchs (University of Konstanz, Germany) - Venkatesh N. Murthy (Harvard University, USA) - Danish Shaikh (University of Southern Denmark, Denmark) - Alejandro Pequeño Zurro (University of Southern Denmark, Denmark) Workshop organizers ----------------------------- Danish Shaikh Alejandro Pequeño Zurro Contact ----------- Danish Shaikh (danish[at]mmmi.sdu.dk) Assistant professor Embodied Systems for Robotics and Learning Maersk Mc-Kinney Moller Institute University of Southern Denmark Campusvej 55, 5230 Odense M Denmark Tel. (office): +45 6550 9526 www.sdu.dk

June 25, 2019

Computational Neuroscience PhD and Postdoc Positions, University of Calgary

by Wilten Nicola

The newly formed research group of Dr. Wilten Nicola, at the Hotchkiss Brain Institute, Cumming School of Medicine, University of Calgary invites applications for talented PhD and postdoctoral researchers commencing in the fall of 2019 or Winter of 2020. The Nicola lab is focused on the interplay between network connectivity, and dynamics in populations of spiking neurons.. We attack this problem using two general approaches: *Bottom Up*: Given a set of synaptic weights, what dynamics or phenomenon emerge in a network of neurons coupled by these weights? Potential methods*: Fokker-Planck systems, Mean-field approaches, Wilson-Cowan modelling. * *Top Down*: Given a desired dynamical system that a network should display, how should the individual neurons be coupled together such that the network displays these dynamics? *Potential methods: Inverse Problem Theory and Machine Learning approaches to training Recurrent Neural Networks.* *PhD Requirements:* An undergraduate/masters degree in Mathematics, Physics, Statistics, Engineering, or other quantitative fields with a strong interest in neuroscience, or machine learning. *Postdoctoral Requirements*: A PhD in applied/pure mathematics, computational neuroscience, physics, or related quantitative fields. As part of the Hotchkiss Brain Institute, an eagerness to collaborate with experimental researchers in the department is a must! Examples include Jaideep Bains, Cam Teskey, Stephanie Borgland, and Jonathan Epp. Calgary, Canada’s fastest growing major city, is vibrant and multicultural with a population of more than 1,000,000. Situated near the Rocky Mountains, Banff National Park and Lake Louise, Calgary offers great quality of life and outstanding recreational activities. *Interested candidates for the positions should submit, via email, a curriculum vitae, and a summary of research interests. PhD candidates should also submit undergraduate/masters transcripts. Postdoctoral candidates should submit reprints of (up to) their three most relevant publications by August 15th. Submit directly to * Dr Wilten Nicola Assistant Professor Faculty of Medicine, University of Calgary Foothills Medical Center 1403 29th Street NW Calgary, Alberta, Canada T2N 2T9 Email: nicolacompneurolab(a)gmail.com *Applications will be considered until all positions are filled.*

June 23, 2019

Full-time and Internship positions at Apple

by Burak Yildiz

We have a full-time position and an internship position in Computational Neuroscience at Apple in the San Francisco Bay Area. It's a rare opportunity to do neuroscience research in industry! Please apply directly through Apple's website. - Computational Neuroscientist / Machine Learning Scientist (Full-time) https://jobs.apple.com/en-us/details/200071090/computational-neuroscientist… - Quantitative Systems Neuroscientist PhD Intern (6 months starting from September 2019) https://jobs.apple.com/en-us/details/200059097/quantitative-systems-neurosc… Burak Yildiz Sr. Research Scientist at Apple

June 23, 2019

postdoctoral position announcement

by Yuri Dabaghian

*Job Title: * *Postdoctoral Associate in Neural Circuits of Learning and Memory* NIH-funded postdoctoral positions are immediately available to study neural circuit mechanisms of learning and memory and their involvements in neurological disorders. Successful candidates will a) design and perform in vivo electrophysiological experiments that record a large number of single neurons in rats performing behavioral tasks, in combination with optogenetic, pharmacological and computational approaches, and b) carry out extensive, in-depth computational analyses of the recorded data and develop of data-driven models of neuronal network dynamics during spatial learning. Experimental position will be based in the laboratory of Dr. Daoyun Ji at Baylor College of Medicine, which conducts high-quality hypothesis-driven research on exciting questions of how specific memory representations are formed, recalled and consolidated, which aspects of memory processing are impaired in neurodegenerative diseases and how they can be rescued at the neural circuit level. Computational and modeling position, focusing on recently developed methods of data analyses, will be based in the laboratory of Dr. Yuri Dabaghian the Department of Neurology at the University of Texas Houston, McGovern Medical School. A Ph.D. in basic sciences/engineering or equivalent is required. Candidates with background in neuroscience, physical sciences, mathematics, and/or engineering are encouraged to apply. Previous experiences in data analyses, electrophysiology, animal behavior, and/or optogenetics using transgenic models or viral injections are preferred, but not required. We are looking for scientists who share our research interests and who are motivated by exciting science and eager to learn new skills. To apply, please send application materials including a detailed CV, cover letter, and contact information of 3 references to Profs. D. Ji (dji(a)bcm.edu) and Dr. Yuri Dabaghian (yuri.a.dabaghian(a)uth.tmc.edu) The position is available immediately, until filled. *Minimum Education: *Ph. D. in basic sciences or engineering. *Minimum Job Experience:* None. *Additional Information:* https://www.bcm.edu/research/labs/daoyun-ji https://med.uth.edu/neurology/faculty/yuri-a-dabaghian-phd/ Send application and inquiries to yuri.a.dabaghian(a)uth.tmc.edu and dji(a)bcm.edu. *Job Category*: Postdoctoral Fellow/Associate *Required Documents*: CV, cover letter, and contact information of 3 references *Optional Documents*: None

June 20, 2019

Job opening at predoctoctoral level @ Madrid. Machine Learning Human Brain Aging Project

by Jaime Gomez-Ramirez

One predoctoctoral position is available at Fundación CIEN (Centre for Research in Neurodegenarative Diseases) in Madrid, Spain ( https://www.fundacioncien.es/) PILEP +90 “Longevity research program Spain-Portugal +90 (PILEP+90)”. PILEP +90 is an International Research Project including the University of Braga (Portugal), University of Southern Denmark (Denmark) and Fundación CIEN (Madrid, Spain). The candidate will work in the PILEP +90 project "Application of machine learning to study factors of healthy and pathological aging”, led by Jaime Gómez-Ramírez at Fundación CIEN. The researcher will be affiliated with Big Data Research & Brain Analytics Unit, Area of NeuroImaging at Fundación CIEN. The goal of this project is to use state-of-the-art machine learning to understand human brain aging. In particular, the project will study healthy subjects 90 years or older. For this purpose, the project lead will have access to magnetic resonance imaging (MRI), lifestyle, cognitive performance and genetic data of the participants in the study. Fundación CIEN is home to a multidisciplinary community of scientists in neuroscience, with special focus on aging, both healthy and pathological. The researcher will have access to a large MRI dataset collected in the last 8 years and will collaborate with the international partners in the project. Qualifications: Candidates should have university degree in a relevant field (e.g, or computer science, physics, engineering, psychology or mathematics) by the start date. The candidate should have experience in computer programming (Python, Matlab, C) and statistical data analysis. The ideal candidate will have a publication record that includes computational modeling and empirical data analysis and will be interested to apply or be enrolled in a PhD program. The appointment is for one year, the salary is 23.400 euros gross before taxes. The contract includes contributions to the Spanish social Security system, which covers for illness, injuries and accidents at work, unemployment, maternity and paternity leave. The selection process is open for candidates that already have the legal right to work in the EU. We especially encourage applications from women and members of minorities that are underrepresented in science. The position is available immediately. The deadline to apply is the 25th of June 2019. Applicants are invited to submit their applications at https://ciberned.cientifis.com/Publica/Convocatorias/Solicitantes/Solicitan… . Applicants are requested to send in CV, degree certificate, cover letter (including a brief summary of previous research accomplishments and future plans) with two to three referee names. Applicants may contact Dr. Gomez-Ramirez directly (email: jgomez(a)fundacioncien.es) for further information. More information about the project can be found at https://cenie.eu/en/blogs/pilep90/application-data-mining-techniques-identi… Jaime Gomez-Ramirez, PhD Big Data Research & Brain Analytics Unit, Area of NeuroImaging Centre for Research in Neurodegenerative Diseases Fundación Reina Sofia Valderrebollo, 5 Madrid, Spain

June 17, 2019

2 PhD Positions at NTNU (Norway)

by Benjamin Dunn

Two PhD positions (1 for theory and 1 for experiments) are currently available to characterize the population neural activity in normal and Alzheimer’s disease animals. This is part of a collaboration between the Kavli Institute for Systems Neuroscience, NTNU and the Department of Mathematics, NTNU. Please apply here: https://www.jobbnorge.no/en/available-jobs/job/170189/2-phd-fellowships-in-… The deadline is July 1st! Ben (Benjamin Dunn)

June 17, 2019

Ph.D. positions in Neuromorphics and Robotics at KTH Stockholm

by Jörg Conradt

Here a call for open Ph.D. positions in Neuromorphics and Robotics (algorithms and hardware), exact project flexible. Application deadline July 12. https://www.kth.se/en/om/work-at-kth/lediga-jobb/what:job/jobID:274694 Would you know of anyone interested? Please forward. Any information needed? Please anyone inquire informally by brief email. Information on our work here ("old and somewhat outdated" pages from my former group): http://tum.neurocomputing.systems/en/research/index.html Thank you! I am very much looking forward to increasing the group at KTH. Jörg [Kth Logo] Jörg Conradt Prof. Dr. KTH Royal Institute of Technology Computational Science and Technology School of Electrical Engineering and Computer Science Lindstedtsvägen 5, SE-114 28 Stockholm, Sweden Phone: +46-8-790 6231 Email: conr(a)kth.se<mailto:conr@kth.se>, Web: www.kth.se<http://www.kth.se/>

June 17, 2019

Full Professorship Theoretical Systems Neuroscience

by Carsten Mehring

The Faculty of Biology of the University of Freiburg invites applications for a Full Professorship (W 3) for Theoretical Systems Neuroscience at the Department of Biology III to be filled as soon as possible. This professorship is also particularly suitable for highly qualified early career researchers. The future job holder should be internationally renowned for the investigation of complex brain functions using modern theoretical neuroscientific approaches. In this context, investigations at the systems level using modern approaches from the theoretical and/or computational neurosciences are particularly welcome. Thematically, the professorship should focus on one of the following areas: learning mechanisms, decision-making processes, sensory systems, sensorimotor integration/control, or the mechanistic understanding of neuronal networks in functional and dysfunctional brains. Collaborations with the experimental and theoretical neuroscientific research groups and research centres established in Freiburg are very welcome. Further information on neuroscientific research in Freiburg can be found on the website www.neuro.uni-freiburg.de <http://www.neuro.uni-freiburg.de/> as well as on the homepages of the Faculty of Biology www.bio.uni-freiburg.de <http://www.bio.uni-freiburg.de/> and the Bernstein Center Freiburg www.bcf.uni-freiburg.de <http://www.bcf.uni-freiburg.de/>. Teaching contributions to the MSc Neuroscience, the BSc and MSc Biology, the Master of Education Biology as well as contributions to the organization of the MSc Neuroscience are expected. Prerequisites for the employment of Professors are a university degree, an outstanding dissertation and an excellent publication record. Substantial achievements and experience in academic research and teaching, at the level of a Habilitation according to the German academic system, are expected. We are particularly pleased to receive applications from women for the position advertised here. The following application documents are to be submitted: o Curriculum vitae o Certificates of degrees and academic qualifications as well as references o Complete list of papers and invited lectures specifying the 10 most important publications Please send your application including supporting documents mentioned above and the application form (http://www.zuv.uni-freiburg.de/formulare/bewerbungsbogen_englisch.pdf <http://www.zuv.uni-freiburg.de/formulare/bewerbungsbogen_englisch.pdf>) citing the reference number 00569, by 31.07.2019 at the latest. Please send your application to the following address in electronic form: The Dean of the Faculty of Biology, Schänzlestr. 1, D-79104 Freiburg. Via e-mail: application(a)biologie.uni-freiburg.de <mailto:application@biologie.uni-freiburg.de>Further information on the appointment procedure can be found in the Procedure Governing Appointments to Professorships at the University of Freiburg, available under http://www.zuv.uni-freiburg.de/formulare/berufungsleitfaden-en.pdf <http://www.zuv.uni-freiburg.de/formulare/berufungsleitfaden-en.pdf#_blank>

June 13, 2019

Post-doctoral Fellow Advertisement

by Zaghloul, Kareem (NIH/NINDS) [E]

Hi, I would like to post the following ad for a post-doctoral position to the computational neuroscience listserv: Position Title Post-doctoral position in human intracranial physiology and human memory Position Description The National Institute of Neurological Disorders and Stroke is seeking a full-time post-doctoral position focused on understanding the neural correlates of human memory. This position involves studies focused on analyzing and manipulating human intracranial electrophysiological signals, including single-unit activity, local field potentials, and intracranial EEG (iEEG), captured from participants with drug resistant epilepsy and from participants receiving deep brain stimulation surgery. Post-doctoral fellows will join a laboratory aimed at understanding the neural mechanisms that underlie human episodic memory formation and decision making and at developing novel and innovative techniques to directly communicate with those circuits. We are seeking candidates that are highly creative, motivated, and independent with a Ph.D. in neuroscience, biomedical engineering, or a related field. Candidates must have a strong research background, with a record of relevant publications. Candidates will be encouraged and expected to participate in independent laboratory research, and will be expected to write scholarly manuscripts. Candidates must be able to lead and work well in a team. Candidates should have strong computational, quantitative, and/or engineering skills, with proficiency in developing custom code (Matlab, Python, etc.) for data analysis preferred. Past medical research is not required, but candidates must be willing to perform experiments in a clinical setting. Candidates will interact with clinical staff, graduate students, research fellows, and must have excellent spoken and written English skills. Applicants should submit a brief statement of research activities and interests, a current CV, and names and contact information of at least three references. Salary will be commensurate with experience and accomplishments. Applicants who will be attending the Society for Neuroscience (Chicago, IL) conference can arrange for a meeting with the Principal Investigator, Dr. Kareem Zaghloul. To arrange a meeting with the PI and to send materials required for consideration for this appointment please contact Dr. Zaghloul at:zaghloulka@mail.nih.gov<mailto:zaghloulka@mail.nih.gov>. Employer Name Kareem A. Zaghloul, National Institute of Neurological Disorders and Stroke Position Location Bethesda, MD Disclaimer NIH, an agency of DHHS, is an equal opportunity employer. All employees are subject to background investigation. The NIH is dedicated to building a diverse community in its training and employment programs. If you could post this ad for me and confirm that everything is ok, I would appreciate it. Thank you, Kareem Kareem A. Zaghloul, MD, PhD Surgical Neurology Branch National Institute of Neurological Disorders and Stroke, NIH Bldg 10, Rm. 3D20 10 Center Drive Bethesda, MD 20892-1414 O: 301-594-8114 F: 301-402-0380

June 13, 2019

TVB Node#9 Workshop - Warsaw, August 31

by Julie Courtiol

*The Virtual Brain: Node#9 Workshop* 31 August 2019 Warsaw, Poland This workshop will explain the fundamental principles of full brain network modelling using the open-source neuroinformatics platform The Virtual Brain (TVB) <https://www.thevirtualbrain.org/>. This simulation environment enables the biologically realistic modelling of brain network dynamics using connectome-based approaches across different brain scales. Researchers from different backgrounds can benefit from an integrative software platform including a simulation core written in Python and a supporting framework for data management. The workshop is organized with interleaved oral presentation and hands-on sessions. The hands-on sessions will let you immediately apply the concepts from the lectures to your simulations in TVB. The TVB Node#9 is an official training course of the Neuroinformatics2019 <https://www.neuroinformatics2019.org> holding on September 1-2, also in Warsaw. Registration and further information: bit.ly/tvb-node9 Contact: julie.courtiol(a)charite.de Best regards, Julie -- Julie Courtiol Charité Universitätsmedizin Berlin

June 12, 2019

BRAIN Theories postdocs to develop history dependent theories across scales.

by Fidel Santamaria

Two Postdoctoral positions to develop a framework to study history dependent activity across scales and species. The objective of this NIH BRAIN Theories project is to develop a unified theoretical framework to study history dependence across the nervous system. This is based on our previous work on using fractional order differential equations to study reaction diffusion and spiking dynamics in single neurons. In this project, we will further extend our theory to determine variability in cortical neurons, understand the effect of history dependence on network dynamics, coding, and information rates; and will apply our knowledge at the cellular level to predict and understand sensory processing in intact animals. This is an expansive project, with multiple collaborations. The fitting candidates will have the opportunity to interact with laboratories at McGill University, in Canada; Max Planck Institute for Dynamics & Self Organization, in Germany; and the Allen Brain Institute. Your theoretical background could be in dynamical systems, applied math, or computational neuroscience. Having knowledge of fractional order differential equations is a plus, but not required. Technically, you need to know Matlab. Knowledge of python and NEURON are a plus. You have to have a fundamental knowledge of neuroscience or demonstrate a willingness to catch up. The laboratory has all the necessary resources, from high end CPU/GPU servers, to local clusters, and access to the largest supercomputers and cloud services through the Texas Advanced Computer Center and the Chameleon Cloud. The laboratory also offers an interdisciplinary environment where experiments in cerebellar research are combined with computational and theoretical approaches. We just acquired a new multi-photon microscope with spatial light modulation capabilities that will allow us to interrogate the cerebellum in ways not possible before. San Antonio is one of the best places to live in the US. It is one of the most affordable large cities in the country, the weather is mild for most of the year, and you can afford to have a nice life. If interested, send a cover page, CV, and list of three references to fidel.santamaria(a)utsa.edu -- Fidel Santamaria, PhD Associate Professor Department of Biology One UTSA circle University of Texas at San Antonio, San Antonio, TX 78249 Office: (210) 458-6910 Lab: (210) 458-6982 Fax: (210) 458-5658 Office/Lab Location: BSB 1.03.30 http://www.utsa.edu/santamarialab/index.htm

June 11, 2019

Official PGENESIS 2.4 release and GENESIS 2.4 Update

by Dave Beeman

I would like to announce the Official Release of PGENESIS 2.4 along with a significant update to GENESIS 2.4. GENESIS is implemented with an object-oriented design that groups related object and command definitions into separately compiled libraries. Parallel GENESIS (PGENESIS) adds a library with a "postmaster" object to the usual usual GENESIS objects and commands. This allows a GENESIS simulation (e. g. a large network model) to be split into many MPI processes that communicate through the postmaster. The November 2014 release of GENESIS 2.4 was intended to be the last packaged GENESIS 2 distribution for download from the GENESIS web site (http://genesis-sim.org/GENESIS) As GENESIS is user-supported, rather than centrally developed, updates to GENESIS and PGENESIS are now obtained from the Repository for Continued Development of the GENESIS 2.4 Neural Simulator (https://github.com/genesis-sim/genesis-2.4) The object-oriented design and organization not only fosters the community development of neural models, but of the simulator itself. This new mutually-developed release of PGENESIS is such an example. As users have continued to contribute new libraries and improvements, there has been an increased use and extension of GENESIS and PGENESIS for its original purpose of realistically modeling cortical networks of multicompartmental neurons on parallel computers. Recent updates to GENESIS and a merge of the GENESIS/PGENESIS development branch from the U.S. Army Research Laboratory have addressed a number of issues in order to increase its scalability for modeling very large networks on high performance computing resources, allowing for models of millions of neurons. These improvements have made it necessary for a new release of a combined package of the May 2019 GENESIS 2.4 Update and the PGENESIS 2.4 Official Release. Information about this release and downloads are available from the GENESIS web site (http://genesis-sim.org/GENESIS) The official release of PGENESIS 2.4 is much improved from the December 2014 preliminary release. Updates of GENESIS since the 2014 release allow the fast "hsolve" solver to be used with new synaptic plasticity models and measurements of cortical field potentials. The efficient delivery of spike events when hsolve is used with large network models results in increases in simulation speed by factors of 10 to 20. This release of PGENESIS 2.4 is also now available for running large-scale network simulations on supercomputers at the Neuroscience Gateway Portal (NSG). For further information, see the https://www.nsgportal.org web page. Dave Beeman

June 10, 2019

Neuromechanics workshop at Bernstein 2019

by Charlotte Le Mouel

We are pleased to announce the "Neuromechanics in humans and other animals" workshop at the Bernstein Conference for Computational Neuroscience 2019. The workshop will take place in Berlin over two half-days, the afternoon of Tuesday 17th September, from 14h to 18h30, and the morning of Wednesday 18th September, from 8h30 to 12h30. The workshop program is attached. The list of speakers is: Prof. Friedl de Groote, KU Leuven, Belgium Prof. Ann Hallemans, University of Antwerp, Belgium Prof. Jaap van Dieën, University of Amsterdam, Netherlands Prof. Marcus Gruber, University of Konstanz, Germany Prof. Heiko Wagner, University of Münster, Germany Dr. Anne Koelewijn, FAU Erlangen-Nürnberg , Germany Dr. Susanne Lipfert, TU München, Germany Dr. Emanuel Andrada, University of Jena, Germany Registration costs for the workshop are 60 until 9th July / 80 until 30th August/ 100 on site. Further information on the conference is available here: http://bernstein-conference.de/ All the best, Dr. Charlotte Le Mouel and Dr. Alexander Spröwitz Dynamic Locomotion Group, Max Planck Institute for Intelligent Systems

June 7, 2019

Bernstein Conference 2019 - deadlines approaching

by Bernstein Communication

BERNSTEIN CONFERENCE 2019, September 17-20 in Berlin The deadline for abstracts aimed as contributed talks and posters is approaching! ************************************************************** Deadline for abstracts aimed as contributed talks and posters: June 13, 2019 Deadline for abstracts aimed as posters only: July 03, 2019 ************************************************************** ABSTRACT SUBMISSION We are inviting the submission of abstracts from all relevant areas. Authors of most accepted abstracts will get the chance for a poster presentation, a small number of abstracts will be selected for contributed talks during the main conference. For abstract submission and more information please visit: bernstein-conference.de/2019/abstracts SELECTION OF CONTRIBUTED TALKS: The contributed talks will be selected in a (double-)blind review process. Please design your abstract accordingly and ensure that no author or affiliation identifiers are included. Cite all relevant prior work (including your own) only in the passive voice or in the third person (for example, “It has been shown that… [1]” or "They have shown that... [1]”), do not use the words “my” or “our”, and do not include references to funding sources. Abstracts that have not been properly anonymized cannot be considered for contributed talks. Submission of an abstract does not replace conference registration (intercongress.de/cgi-bin/regform_79106.exe?company=79106&event=1969&language=1&Entry=9). For more information on the conference, please visit: bernstein-conference.de -- Dr. Claudia Duppé/ Dr. Nikola Schwarzer Press and Public Relations Bernstein Network Computational Neuroscience | Bernstein Coordination Site (BCOS) phone: (+49) 0761 203 96787 mail: bernstein.communication(a)fz-juelich.de<mailto:bernstein.communication@fz-juelich.de> web: www.bernstein-network.de<http://www.bernstein-network.de/de/start_page> ______________________________________ Twitter: NNCN_Germany<https://twitter.com/NNCN_Germany?lang=de> YouTube: Bernstein TV<https://www.youtube.com/user/BernsteinNetwork> Facebook: Bernstein Network Computational Neuroscience, Germany<https://www.facebook.com/BernsteinNetwork/> LinkedIn: Bernstein Network Computational Neuroscience, Germany<https://www.linkedin.com/company/bernstein-network-computational-neuroscien…> ------------------------------------------------------------------------------------------------ ------------------------------------------------------------------------------------------------ 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 ------------------------------------------------------------------------------------------------ ------------------------------------------------------------------------------------------------

June 7, 2019

postdoc position at UCL: decision neuroscience, computational psychiatry

by Hauser, Tobias

The Developmental Computational Psychiatry lab, based at University College London (www.devcompsy.org<http://www.devcompsy.org>) is offering a postdoc position to work in decision neuroscience and computational psychiatry (esp. OCD). We are looking someone with a strong background in computational modelling, neuroimaging and/or psychiatry. The postdoc will be joining a young and interdisciplinary lab that works at the intersection of computational neuroscience, psychiatry, pharmacology and cognitive development. This means that the position offers the freedom to pursue own projects under Tobias' supervision. The position is based at the Max Planck UCL Centre for Computational Psychiatry & Ageing Research and the Wellcome Centre for Human Neuroimaging at UCL. This is a unique environment with access to cutting-edge neuroimaging facilities (3 & 7T fMRI, MEG, etc.) and is embedded in the very collaborative, world-class UCL computational neuroscience community. Potential candidates may contact Tobias directly to talk about the position and potential projects in person. This position is funded by Wellcome Trust. Application deadline is 15 June 2019. More details and application submission here: https://atsv7.wcn.co.uk/search_engine/jobs.cgi?SID=amNvZGU9MTgwNzQ0NiZ2dF90… Best, Tobias --- Dr Tobias U. Hauser Sir Henry Dale Fellow, Principal Investigator Developmental Computational Psychiatry lab Max Planck UCL Centre for Computational Psychiatry & Ageing Research Wellcome Centre for Human Neuroimaging University College London 10-12 Russell Square London WC1B 5EH +44 207 679 5264 (internal: 45264) t.hauser(a)ucl.ac.uk<mailto:t.hauser@ucl.ac.uk> www.tobiasuhauser.com<http://www.tobiasuhauser.com/> www.devcompsy.org<http://www.devcompsy.org>

June 7, 2019

Research Fellow Position in Seizure Prediction

by Levin Kuhlmann

We have a Research Fellow opening through a collaboration between the University of Melbourne and Monash University for someone to develop and crowdsource machine learning and data science approaches to solving seizure prediction. Seizure prediction will enable the generation of warnings so a person with epilepsy can move to safety, or activation of electrical stimulation or drug delivery to prevent seizures. Our team leverages unique long-term human brain activity data to find novel, clinically relevant solutions to seizure prediction, and publishes these findings in the highest impact neurology journals (Lancet Neurology, Nature Reviews Neurology, Nature Neuroscience, Brain, PNAS). The appointed research fellow is expected to successfully contribute to and drive innovative research activities to help make seizure prediction a viable option to support patients with epilepsy. The successful candidate will hold a PhD or equivalent qualification complemented with experience in machine learning, data science, signal processing, dynamical systems theory, time series analysis and/or cloud computing. Applications close: 2nd July 2019 To apply visit: https://careers.pageuppeople.com/422/ci/en/job/900082/research-fellow-seizu…

June 7, 2019

Open PhD position in Juelich, Germany: An approach to tracking the provenance of data acquisition and analysis in neuroscience

by Martina Reske

The Helmholtz School for Data Science in Life, Earth and Energy offers a PhD position in neuroscience! See here for more information on the specific position: https://www.hds-lee.de/fileadmin/user_upload/HDS_LEE/open_positions/An_appr… Kind regards, Martina -- Dr. Martina Reske Scientific Coordinator Institute of Neuroscience and Medicine (INM-6) Computational and Systems Neuroscience & Institute for Advanced Simulation (IAS-6) Theoretical Neuroscience Jülich Research Centre and JARA Jülich, Germany Work +49.2461.611916 Work Cell +49.151.26156918 Fax +49.2461.619460 www.csn.fz-juelich.de Office hours: TU & FR 9.00-17, WE & TH 9.00-13 ------------------------------------------------------------------------------------------------ ------------------------------------------------------------------------------------------------ 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 ------------------------------------------------------------------------------------------------ ------------------------------------------------------------------------------------------------

June 6, 2019

Calling all python programmers!

by Marina

Check out this unique job opportunity at the Allen Institute for Brain Science and apply to be part of a diverse team of neuroscientists and engineers working to understand how experience influences neural processing. Python fluency and a desire to work as part of a team are key qualifications. Apply here: Job posting on Indeed <https://www.indeed.com/viewjob?jk=964ae8a153d09354&q=allen+institute&l=Seat…> *Software Engineer I – Software tools for behavioral neuroscience * The Allen Institute for Brain Science seeks a Software Engineer to be an essential member of a scientific team investigating how neural circuits represent visual categories and how this coding is modified by experience, expectation, and motivation. The datasets created as part of this project will be publicly released as an open data resource for the community, in line with the Allen Institute’s core principles of big science, open science & team science. The primary role of this Software Engineer will be to work closely with neuroscientists and engineers to develop and maintain software tools for conducting and analyzing experiments designed to measure brain activity during behavior. This will require developing an in depth understanding of the scientific motivation and rationale of these studies in order to effectively translate scientific requirements into code. Accordingly, experience with or interest in neuroscience is highly valued. As part of a highly collaborative environment with an existing software ecosystem, good communication and enthusiasm for working with and learning from others is essential to this role. This position will serve as a bridge between scientific and engineering teams by contributing to early development alongside scientists, then helping to translate that development work into a highly standardized production environment. This will involve making use of existing tools and building extensions that can be used for new avenues of research. Responsibilities of this position include designing and writing stimulus control software, testing and troubleshooting code for running experiments and interacting with experimental hardware, building visualization tools to observe data acquisition in real time, writing tests, validation functions, and documentation to ensure that code is robust and results are accurate, attending meetings to discuss scientific goals and task requirements, and facilitating cross team coordination. *RESPONSIBILITIES* - Collaborate with diverse scientific and technical teams - Contribute to the design and creation of open data resources - Work with scientists and software engineers to transform complex requirements into software - Develop code to control and interact with hardware for running experiments - Implement behavior task logic in code using existing or new codebases - Understand and utilize internal databases for data management - Create and analyze visual stimuli such as images or 3D rendered objects - Write, test and troubleshoot scripts for running behavior experiments - Write unit tests and validation functions to ensure that software is working according to specifications - Write well documented code, refactor and document existing code - Manage scientific analysis codebase, address GitHub issues, maintain documentation - Build visualization tools to evaluate data quality and scientific results - Transfer knowledge of scientific code to the Process Engineering team for production implementation - Enjoys solving problems - Strong communication skills - Desire to work as part of a team in a collaborative environment - Dedicated team player *REQUIRED QUALIFICATIONS* - Bachelor’s degree in a relevant technical discipline, such as computer science, computational neuroscience, data science, or biomedical engineering - Proficient in Python - Strong programming ability for scientific computing - Experience with Python tools for scientific computing (numpy, scipy, pandas, scikit-learn, scikit-image, etc) - Working knowledge of Git for version control and collaborative coding - Experience writing unit tests, debugging code, using profiling tools *DESIRED QUALIFICATIONS* - 1+ years of relevant experience in a team oriented software development environment - 1+ years of experience with scientific computing - Experience with systems or behavioral neuroscience - Experience refactoring existing code bases to improve maintainability. - Experience with relational (e.g. postgres, SQL) and/or distributed (e.g. MongoDB) databases - Experience with scientific data visualization - Experience with image or signal processing - Experience with hardware interfaces, graphical user interfaces - Experience meeting aggressive timelines and deliverables - Experience pursuing research projects in collaborative fashion

June 5, 2019

postdoctoral position

by Daniel Ferris

A postdoctoral researcher position studying human locomotion is available in the laboratory of Dr. Daniel Ferris ( https://faculty.eng.ufl.edu/human-neuromechanics-laboratory) This position is for an initial one-year appointment, and has the potential to be renewed for an additional three years based on performance and funding availability. Dr. Ferris has a long history of training professionals who have entered and succeeded in both academic and industry positions. The postdoctoral research will work on a currently funded NIH project (U01 AG061389) designed to identify neural correlates of mobility impairments in older adults. Research will involve using high-density electroencephalography (EEG) to track changes in electrocortical dynamics in older adults in a longitudinal study. Subjects will walk on a range of terrain surfaces to determine how they compensate for surfaces that challenge their stability. We will determine whether poorer walking performance is associated with the Compensation Related Utilization of Neural Circuits Hypothesis (CRUNCH). CRUNCH is a well-supported model of brain activity patterns that are seen when older individuals perform tasks of increasing complexity. CRUNCH describes the over-recruitment of frontoparietal brain networks that older adults exhibit in comparison to young adults, even at low levels of task complexity. CRUNCH also describes the limited reserve resources available in the older brain. These factors cause older adults to quickly reach a ceiling in brain resources when performing tasks of increasing complexity. *Attributes of UF and Gainesville*: The BME Department is housed in a state-of-the art building that is located in the medical school and steps from engineering. The University of Florida is one of only a few comprehensive universities, having medical, veterinary, dental, nursing, public health, and engineering disciplines all co-localized on the same, contiguous campus. UF is a highly collaborative environment that provides researchers with many opportunities for learning (e.g., top seminar programs, excellent core research facilities) and research collaborations. Gainesville is located in the northern region of Florida, within 1-1.5 hours of each coast, and just 1.5-2 hours to Orlando and Tampa. It is a small to medium-sized city with a low cost of living, excellent public and private schools, and southern hospitality. While Gainesville is widely recognized as the home of the Gators, it is quickly becoming known as a center for innovation and a place with a lifestyle that’s comfortable for families, yet attractive for young professionals. In 2013 the financial website NerdWallet deemed Gainesville the #1 fastest growing US city ( http://www.eng.ufl.edu/careers/why-gainesville) The J. Crayton Pruitt Family Department of Biomedical Engineering is one of only a few departments in the nation to be co-localized with a top-ranked medical school, veterinary school and dental school. The department is housed in a new state-of-the-art building (completed in 2010) that is co-located with the medical school and steps from engineering. Biomedical Engineering at UF partners with many local research centers and institutes including the McKnight Brain Institute, the Clinical and Translational Science Institute, the National High Magnetic Field Laboratory and the Malcom Randall VA Medical Center. *Minimum Qualifications*: Applicants must have a Ph.D. in neuroscience, biomedical engineering, kinesiology or a related biomedical science area. Applicants must have experience with manuscript preparation and submission. Experience with Matlab, EEGLAB, EEG, and motion analysis is desirable. *Salary:* minimum is $48,000 annually *Days to post:* Position is open until filled. *Special Instructions to applicants:* In addition to applying online to Careers at UF (https://jobs.ufl.edu/) Applicants should send a CV, a brief statement of interest, and contact information for two references to Dr. Ferris at dferris(a)bme.ufl.edu. Review of applications will start immediately and continue until the position is filled. -- Daniel P. Ferris, Ph.D. Editor-In-Chief, IEEE-TNSRE editortnsre(a)gmail.com

June 5, 2019

Two PhDs and two Post-doc positions in Neuro-inspired Deep Learning with T. Serre & R. VanRullen

by Rufin VanRullen

Two PhDs and two Post-doc positions in Neuro-inspired Deep Learning with T. Serre & R. VanRullen [Apologies for cross-postings] We are seeking talented and motivated students and post-docs for a number of open positions, in a collaborative effort between the labs of Thomas Serre (Brown University/Toulouse) and Rufin VanRullen (Toulouse). The positions will be based in Toulouse (France), with numerous opportunities to travel, in particular for visits to and close collaborations with the Serre lab at Brown University (USA). The successful candidates will become involved in a number of projects, depending on their particular interests, and will also have the opportunity to develop independent projects. Applicants for the PhD positions should hold a Masters degree or equivalent. Applicants for the post-doc positions should hold a PhD, or expect to receive their PhD shortly. Candidates must have a strong background in computer vision and/or computational neuroscience and/or machine learning. Excellent python programming skills and Tensorflow/PyTorch experience are required. Additionally, applicants at the post-doc level should ideally have a track record of relevant publications at top venues (e.g., NIPS, ICML, CVPR, ICCV, ICLR, etc.). Exceptional candidates with a primary degree in Neuroscience and strong programming/quantitative abilities will also be considered. The fellows will be located in a state-of-the-art facility within the new ANITI (Artificial and Natural Intelligence Toulouse Institute) research center in Toulouse, France. They will be part of the AI Research Chairs held by Thomas Serre ("Reverse-engineering the brain") and Rufin VanRullen ("Deep Learning with semantic, cognitive and biological constraints"). They will also benefit from a lively local community of Deep Learning researchers: the Toulouse Interdisciplinary Deep Learning "TIdDLe" group (https://tiddle-group.github.io) Perks include: competitive salaries, clement weather, high quality of life, vibrant research environment. To apply, send a CV, a short (<1 page) explanation of research interests, and the name of 3 potential referees to thomas_serre(a)brown.edu and rufin.vanrullen(a)cnrs.fr The positions start in Fall 2019 (later start dates can be negotiated), the application procedure is and will remain open until all positions are filled. For more information about ongoing research projects in our labs, consult: http://serre-lab.clps.brown.edu/ and http://cerco.ups-tlse.fr/~rufin/ Some relevant papers: D. Linsley, J. Kim, & T. Serre. Sample-efficient image segmentation through recurrence. ArXiv 2019. https://arxiv.org/abs/1811.11356 D. Linsley, J. Kim, V. Veerabadran, C. Windolf & T. Serre. Learning long-range spatial dependencies with horizontal gated-recurrent units. Neural Information Processing Systems, 2018. https://neurips.cc/Conferences/2018/Schedule?showEvent=11042 D. Linsley, D. Schiebler, S. Eberhardt & T. Serre. Learning what and where to attend. International Conference on Learning Representations, 2019. https://openreview.net/forum?id=BJgLg3R9KQ VanRullen, R., Reddy, L. (2019). Reconstructing Faces from fMRI Patterns using Deep Generative Neural Networks. Nat Comm Biol. https://www.nature.com/articles/s42003-019-0438-y VanRullen, R. (2017). Perception Science in the age of Deep Neural Networks. Front. Psychology 8:142. https://www.frontiersin.org/articles/10.3389/fpsyg.2017.00142/full McLelland, D. & VanRullen, R. (2016). Theta-Gamma Coding Meets Communication-through-Coherence: Neuronal Oscillatory Multiplexing Theories Reconciled. PLoS Comput Biol 12(10), e1005162. https://journals.plos.org/ploscompbiol/article?id=10.1371/journal.pcbi.1005…

June 5, 2019

Post-doctoral position in neural circuitry underlying sensory perception

by Pedro Lagomarsino de Leon Roig

We invite applications for two postdoctoral positions focusing on the application of causal optogenetic approaches to dissect the neural circuits underlying sensory perception. The applicants should have a strong background in neurophysiology, circuit neuroscience, or behavioral neuroscience and be highly independent with a strong propensity for interdisciplinary research. Previous experience with electrophysiological recordings, two-photon GCaMP imaging, optogenetics or behavioral analysis is desirable. Candidates must hold a PhD in neuroscience, physics, bio-engineering or a related discipline and be highly motivated and creative individuals who want to work in a dynamic, multi-disciplinary research environment and who are willing to interact with both experimental and theoretical neuroscientists. Research activities will be carried out in the Optical Approaches to Brain Function Laboratory, supervised by Dr. Fellin. For reference to recent work please see Forli et al. Cell Reports 2018, Zucca et al. eLife 2017; Bovetti and Fellin, J. Neurosci. Methods 2015; Beltramo et al., Nat. Neurosci. 2013. Applications (full CV, two recommendation letters, and statement of research interest) should be sent by email to Dr. Tommaso Fellin ( tommaso.fellin(a)iit.it)

June 5, 2019

Post-doc Position in Open-Ended Deep Reinforcement Learning

by Jochen Triesch

We have an opening for a post-doc position in my lab (http://fias.uni-frankfurt.de/en/neuro/triesch) at the Frankfurt Institute for Advanced Studies (FIAS) to study Open-Ended Deep Reinforcement Learning in simulated robots. We study systems that effectively learn to control their bodies and their environment by defining their own learning goals, practicing the skills for achieving these goals and setting themselves progressively harder goals. The work will be performed in the context of the European GOAL-Robots project (http://www.goal-robots.eu) For a quick overview of the project, check out this video: https://youtu.be/sordZmyp8u8. The focus of this post-doc position will be on simulated humanoids learning visually guided object interaction. We are seeking an outstanding and highly motivated post-doc for this project. Applicants should have obtained a PhD in Machine Learning, Robotics, or a closely related field. The ideal candidate will have excellent programming and analytic skills and a broad knowledge of machine learning, robotics, and vision. An interest in cognitive development in human infants is a plus. The Frankfurt Institute for Advanced Studies (https://fias.institute/en/) is a research institution dedicated to fundamental theoretical research in various areas of science. The city of Frankfurt is the hub of one of the most vibrant metropolitan areas in Europe. It boasts a rich culture and arts community and repeatedly earns high rankings in worldwide surveys of quality of living. Applications should be sent as a single pdf file to triesch(a)fias.uni-frankfurt.de. Please include a brief statement of research interests, CV, and contact information for at least two references. The position can be filled immediately and applications will be reviewed on a continuing basis. The initial appointment will be for one year. -- Prof. Dr. Jochen Triesch Johanna Quandt Research Professor Frankfurt Institute for Advanced Studies http://fias.uni-frankfurt.de/~triesch/ Tel: +49 (0)69 798-47531 Fax: +49 (0)69 798-47611

June 4, 2019

one postdoc position on testing models of mood and meta-cognition through large scale mobile platform - UPF & Telefonica Alpha (Barcelona)

by Alexandre Hyafil

One fully funded postdoc position is available under the supervision of Rubén Moreno Bote and Alexandre Hyafil jointly between University Pompeu Fabra (UPF) and the innovation facility Alpha powered by Telefonica, both in Barcelona, Spain. The position involves part time at the Theoretical and Cognitive Neuroscience group at the *Center for Brain and Cognition* (UPF)( https://www.upf.edu/web/ruben-moreno-bote) and at Alpha (www.alpha.company/) Alpha was established by Telefonica in January 2016 to address some of the biggest problems in society by conceiving and delivering radical solutions and breakthrough technology. The candidate will use psychophysics tasks on a large-scale mobile platform with >5k users to track the dynamics of meta-cognition and mood across various days. Candidates should have a PhD and expertise in Computational Neuroscience, Cognitive neuroscience or Cognitive psychology. Ideally he/she should have ample experience with psychophysics and sophisticated data analysis / machine learning techniques. The candidate will benefit from the stimulating environment of Barcelona area in Theoretical and Systems Neuroscience. Our lab forms part of a larger network of neuroscience labs in Barcelona. Candidates, please send a CV, letter of motivation and contact emails for references to alexandre.hyafil(a)upf.edu. Informal enquiries are recommended. Gross salary: 36 k€/year. Deadline: until the position is filled. Starting date: as soon as possible. Initial appointment is for one year.

June 4, 2019

Independent Research Fellow in Neural Data Science (UK)

by Mark Humphries

The University of Nottingham is investing in a major new research capacity in computational neuroscience. As part of this investment, we seek applications for a 2-year independent fellowship in Neural Data Science. The position is ideal for researchers with a clear vision to start their own research programme in a supportive, multi-disciplinary environment. We seek candidates positioned to join us in advancing the field of neural data science. This newly emerging discipline develops and uses the full gamut of modern computational techniques on neural data, to answer scientific questions about the brain. Candidates should be able to demonstrate a track record of quality research, and be able to independently manage their research. The Fellow will be attached to the Humphries's lab (https://www.humphries-lab.org/) for mentoring and scientific guidance, but work independently. For more on neural data science, see our guide: https://medium.com/the-spike/a-neural-data-science-how-and-why-d7e3969086f2 For full details of the role and to apply: https://www.nottingham.ac.uk/jobs/currentvacancies/ref/SCI168019 Please send informal enquiries to Professor Mark Humphries: mark.humphries(a)nottingham.ac.uk This message and any attachment are intended solely for the addressee and may contain confidential information. If you have received this message in error, please contact the sender and delete the email and attachment. Any views or opinions expressed by the author of this email do not necessarily reflect the views of the University of Nottingham. Email communications with the University of Nottingham may be monitored where permitted by law.

June 3, 2019

Full-Time Research Assistant (RA)/ Lab Manager at Max Planck Institute, Research Group of Lucia Melloni

by Lucia Melloni

We are hiring! Come join us as a Research Assistant/Lab Manager We are looking for a passionate and talented Lab Manager to join the research group of Lucia Melloni at the Max Planck Institute for Empirical Aesthetics (Frankfurt am Main, Germany). Our lab is interested in understanding why we perceive and remember the way we do, and specifically why we are conscious. To tackle those questions we use a range of methods including psychophysics, magnetoencephalography, functional magnetic resonance imaging, and invasive recordings in epilepsy patients. The lab manager is expected to provide support for research activities carried out in the lab but also to pursue research projects of his/her own. The position is particularly suited for a recent graduate from a Neuroscience, Psychology, Cognitive Science, Computer Science or related program who is seeking to work in an innovative research environment in preparation for graduate school. A two-year commitment is expected; the anticipated start date is August 2019 or soon after. Interested applicants are welcome to email Lucia Melloni directly for enquiries regarding the position (lucia.melloni(a)ae.mpg <mailto:lucia.melloni@ae.mpg>.de). Please submit your application, including a CV and a cover letter describing your background, experience and motivation - preferably in pdf format, and the names of two references that have previously agreed to be contacted no later than June 24, 2019, to: job(a)ae.mpg.de <mailto:job@ae.mpg.de> and lucia.melloni(a)ae.mpg.de <mailto:lucia.melloni@ae.mpg.de> with the subject Lab Manager L.Melloni For the full job description please see here <https://www.aesthetics.mpg.de/institut/jobs/lab-manager-neuroscience-fmd.ht…>: https://www.aesthetics.mpg.de/institut/jobs/lab-manager-neuroscience-fmd.ht… <https://www.aesthetics.mpg.de/institut/jobs/lab-manager-neuroscience-fmd.ht…>

June 1, 2019

6th ESI Systems Neuroscience Conference "The recurrent cortex: feedback, dynamics, and dimensionality". Registration + Abstract submission are now open

by MFES, events

6th ESI Systems Neuroscience Conference "The recurrent cortex: feedback, dynamics, and dimensionality" 5-6 September 2019 Frankfurt am Main, Germany =========================================== The Ernst Strüngmann Institute Systems Neuroscience Conference (ESI SyNC) 2019 will take place this year on September 5th and 6th at the Ernst Strüngmann Institute in Frankfurt, Germany. This year's theme is 'The recurrent cortex: feedback, dynamics, and dimensionality'. The conference will feature eleven internationally renowned speakers who will give talks on neural feedback, signal dimensionality, and temporal dynamics. Ample time for both formal and informal discussion has been included in the schedule. There will also be a poster session for which we welcome submissions. Confirmed speakers =========================================== Sacha van Albada Alessandra Angelucci Carina Curto Peter Dayan Thomas Fraps Nikolaus Kriegeskorte Jakob Macke Tatyana Sharpee Fred Wolf Rafael Yuste Li Zhaoping Registration and abstract submission are now open! =========================================== For more information and to register for the conference or submit a poster presentation, please visit: www.esi-frankfurt.de/esisync/<http://www.esi-frankfurt.de/esisync/> Or contact: esi-sync(a)esi-frankfurt.de<mailto:esi-sync@esi-frankfurt.de> Limited spaces are available, so early registration is encouraged. Best Regards, The ESI SyNC 2019 organizing team: Wolf Singer Pascal Fries Renata Vajda William Barnes Christini Katsanevaki Katharine Shapcott Cem Uran Yiling Yang

May 31, 2019

Threshold Networks conference - Nottingham

by Stephen Coombes

Threshold Networks July 22 - 24, 2019 Nottingham, UK https://www.nottingham.ac.uk/conference/fac-sci/maths-sci/threshold-network… <https://eur01.safelinks.protection.outlook.com/?url=https%3A%2F%2Fwww.notti…> This workshop will bring together a community of people interested in both networks and dynamics, with an eye to both mathematical tractability and applications to biology, engineering, physics, and the social sciences. The emphasis will be on ‘thresholds’ in their broadest sense as exemplified by node dynamics or interactions that are described by simple, yet possibly non-smooth or discontinuous switch-like processes. The workshop will cover both theory and applications. The meeting will have no parallel sessions, and it is expected to involve around 60 participants (with 11 main speakers) and contributed poster presentations. Speakers: Chris Bick, University of Exeter, UK Mario Di Bernardo, University of Bristol, UK Ginestra Bianconi, Queen Mary University of London, UK Jonathan Crofts, Nottingham Trent University, UK Des Higham, University of Strathclyde, UK Renaud Lambiotte, University of Oxford, UK Naoki Masuda, University of Bristol, UK Peter Mucha, University of North Carolina, USA Sarah Muldoon, University at Buffalo, USA Yamir Moreno, University of Zaragoza, Spain Mason Porter, UCLA, USA We are accepting abstracts for poster presentations at ThresholdNetworks2019(a)nottingham.ac.uk <mailto:ThresholdNetworks2019@nottingham.ac.uk> The registration fee for the conference is 100.00 GBP. A “Tutorial Day” (covering key concepts in dynamical systems and network science) will also take place prior to the meeting (on July 21). Some financial assistance may be available to assist graduate students who attend both the training workshop and the conference. Further details of this meeting and how to register may be found at https://www.nottingham.ac.uk/conference/fac-sci/maths-sci/threshold-network… <https://eur01.safelinks.protection.outlook.com/?url=https%3A%2F%2Fwww.notti…> Scientific Organisers Yi Ming Lai, Rüdiger Thul, and Stephen Coombes, University of Nottingham Mason A. Porter, UCLA Enquiries should be sent to: ThresholdNetworks2019(a)nottingham.ac.uk <mailto:ThresholdNetworks2019@nottingham.ac.uk> This message and any attachment are intended solely for the addressee and may contain confidential information. If you have received this message in error, please contact the sender and delete the email and attachment. Any views or opinions expressed by the author of this email do not necessarily reflect the views of the University of Nottingham. Email communications with the University of Nottingham may be monitored where permitted by law.

May 30, 2019

Call for abstracts: RSS2019 Workshop "Pervasively Neuro-Dynamic Robotics"

by Yulia Sandamirskaya

Dear Colleagues, we are excited to invite you to attend the Workshop “Pervasively Neuro-Dynamic Robotics: Do insights from neuroscience, cognitive science, and neuromorphic engineering lead to a radically new vision?”: https://www.ini.rub.de/rss2019-workshop/ <https://www.ini.rub.de/rss2019-workshop/> The workshop will be held on June 23 (afternoon) 2019 in Freiburg, Germany, as part of the Robotics Science and Systems (RSS) 2019 conference: http://www.roboticsconference.org <http://www.roboticsconference.org/> We invite submissions of 1-2 page abtracts describing recent work on neuronal and cognitive architectures than emphasize autonomy of behavior generation. The selected abstracts will be invited to be presented as a Demo showing autonomous generation of behavior and/or Poster showing a recent example of a neuronal cognitive architecture You can submit your abstract by email to ysandamirskaya(a)ini.uzh.ch <mailto:ysandamirskaya@ini.uzh.ch> . Please, make sure that your submission contains your institutional address. If you like, you can attach a photo, which we will upload on the Workshop's webpage. Deadline for submission: 8. June 2019! Decisions will be announce on June 10. We are looking forward to your submissions and our discussions during the workshop! Yulia Sandamirskaya and Gregor Schöner — Workshop organisers — — Dr. Yulia Sandamirskaya Institute of Neuroinformatics (INI) UZH / ETH Zurich Winterthurerstrasse 190, 8057 Zurich E-mail: ysandamirskaya(a)ini.uzh.ch <mailto:ysandamirskaya@ini.uzh.ch> Tel: +41 44 63 53045 www.sandamirskaya.eu <http://www.sandamirskaya.eu/> https://neurotechai.eu <https://neurotechai.eu/>

May 29, 2019

Multiple postdoc positions uOttawa

by Richard Naud

Multiple postdoc positions uOttawa Theoretical neuroscience, nonlinear/statistical physics, cellular electrophysiology and imaging, computational neuroscience University of Ottawa Multiple theoretical, computational and experimental neuroscience postdoctoral positions are available immediately at the Centre for Neural Dynamics of the University of Ottawa. Position 1: Theoretical neuroscience and nonlinear/statistical physics focusing on the dynamics of a population of core recurrent neurons within the hippocampus and their role in temporal and spatial memory. The candidate will be involved in collaborations between Profs. Len Maler, André Longtin and Jean-Claude Béïque. Position 2: Experimental and computational neuroscience focusing on dendritic integration. Expertise in cellular electrophysiology and/or computational neuroscience is an asset. The candidate will be involved in collaborations between Profs. Richard Naud and Jean-Claude Béïque. Position 3: Computational and experimental neuroscience focusing on dendritic integration and recurrent circuitry. Expertise in cellular electrophysiology and/or computational neuroscience is an asset. The candidate will be involved in collaborations between Profs. André Longtin, Richard Naud, Jean-Claude Béïque and Len Maler. The researcher will join uOttawa’s Brain and Mind Research Institute’s Center for Neural Dynamics. uOttawa’s Neuroscience community is fast expanding, highly dynamic and offers a rich array of collaborative opportunities. Ottawa, the capital of Canada, is a green, multi-cultural city that offers the highest standard of living in the country and is second worldwide for quality of life (Numbeo index, 2015). The city has many parks including the UNESCO World Heritage Rideau Canal, and is surrounded by an extensive greenbelt and the vast Gatineau Park twenty minutes away. This bilingual, safe and culturally-rich city lies along the border between the provinces of Ontario and Québec, is a few hours of driving away from Montréal and Toronto and served by an international airport. Each position is for one year with automatic renewal for a second year following satisfactory progress, and a possible extension to a third year. Interested candidates should submit their CV and a brief statement of research interests to alongtin(a)uottawa.ca<mailto:alongtin@uottawa.ca> . The successful candidate would be a salaried employee of the University with a competitive remuneration and benefits package. Jean-Claude Béïque André Longtin Len Maler Richard Naud

May 29, 2019

IBRO-SIMONS COMPUTATIONAL NEUROSCIENCE IMBIZO 2020 #isiCNI2020

by Antrobus, Alexander

We would like to draw your attention to the fourth IBRO-SIMONS COMPUTATIONAL NEUROSCIENCE IMBIZO #isiCNI2020 5 - 26 January 2020, Muizenberg Beach, Cape Town, South Africa http://imbizo.africa/ Application deadline: 30th June 2019 The #isiCNI2020 is a southern hemisphere summer school aiming to promote computational neuroscience in Africa. It will bring together international and local students under the tutelage of the world's leading experts in the field. Like its international sister courses, this three-week summer school aims to teach central ideas, methods, and practices of modern computational neuroscience through a combination of lectures and hands-on project work. Mornings will be devoted to lectures on topics across the breadth of experimental and computational neuroscience. The rest of the day will be spent working on research projects under the close supervision of expert tutors and faculty. Individual research projects will focus on the modelling of neurons, neural systems, behaviour, the analysis of state-of-the-art neural data, and the development of theories to explain experimental observations. Who should apply? This course is aimed at Masters and early-PhD level students though Honours or advanced undergraduates may also apply. Postdoctoral students who can motivate why the course would benefit them are also encouraged to apply, Students should have sufficient quantitative skills, (e.g. a background in mathematics, physics, computer science, statistics, engineering or related field). Some knowledge of neural biology will be useful but not essential. Experimental neuroscience students are encouraged to apply, but should ensure that they have a reasonable level of quantitative proficiency (i.e. at least second-year level mathematics or statistics and have done at least one course in computer programming). Please distribute this information as widely as you can. Essential details * Fee (which covers tuition, lodging, and meals): 1100 EUR Thanks to out generous sponsors, significant financial assistance is available to reduce and waiver fees for students, particlualry for African applicants. We also hope to provide some travel bursaries for interrnational students. If you are in need of financial assistance to attend the Imbizo, please state so clearly in the relevant section of your application. * Application deadline: 30th June 2019 * Notification of results: late August 2019 Information and application https://imbizo.africa/<http://isicni.gatsby.ucl.ac.uk/> Questions? isicn.imbizo(a)gmail.com<mailto:isicn.imbizo@gmail.com> What is an Imbizo? \ɪmˈbiːzɒ\ | Xhosa - Zulu A gathering of the people to share knowledge. INVITED FACULTY Dora Angelaki - Baylor College of Medicine Demba Ba - Harvard University Adrienne Fairhall - Washington University Ila Fiete - University of Texas Peter Latham - University College London Timothy Lillicrap - Google DeepMind Blake Richards - University of Toronto Joseph Raimondo - University of Cape Town Srikanth Ramaswamy - EPFL Lausanne Athanassia Papoutsi - IMBB-FORTH Thomas Tagoe - University of Ghana Andrew Trevelyan - Newcastle University Misha Tsodyks - Weiszmann Institute of Science Tim Vogels - University of Oxford Byron Yu - Carnegie Mellon University Organisers Christopher Currin (University of Cape Town, South Africa) Emma Vaughan (Conference Managemant Centre) DIRECTORS Peter Latham (Gatsby Unit for Computational Neuroscience, UCL, UK) Joseph Raimondo (University of Cape Town, South Africa) Tim Vogels (University of Oxford, UK) Sponsors The isiCNI is made possible by the generous support from the Simons Foundation (https://www.simonsfoundation.org<https://www.simonsfoundation.org/>) and the International Brain Research Organisation (IBRO) (http://ibro.info<http://ibro.info/>) Organizational Affiliates University of Cape Town, University College London, University of Oxford, TReND in Africa<http://trendinafrica.org/>, CNCB<http://www.cncb.ox.ac.uk/>, Gatsby Foundation<http://www.gatsby.org.uk/>, IBRO African Center for Advanced Training in Neurosciences at UCT

May 29, 2019

PhD positions in Neuromorphic olfaction

by Michael Schmuker

PhD positions in Neuromorphic machine learning, AI and robotics for chemical sensing Biocomputation Group University of Hertfordshire UK We are seeking candidates who want to join an international team of researchers with the goal to push the boundaries of chemical discovery. We use machine learning, AI and robotics to develop new methods for chemical sensing (electronic noses), gas-based navigation in robots, and knowledge discovery in chemical space. Our group leverages a new kind of computing hardware, so called neuromorphic systems, to translate processes from the brain into algorithms for efficient computing. We take inspiration from neuroscience to develop massively parallel, event-based, and power-efficient algorithms for machine learning, inference and control. Possible project topics include: * Bio-inspired signal processing and pattern recognition for chemical sensing, * Gas-based navigation for robots, * Deep learning for fragrance and aroma discovery, * Computing on neuromorphic hardware. Candidates with diverse skill profile are most welcome, e.g. with a background in: * Machine learning and AI, or * Neuroscience and neural computation, or * Signal processing and computer engineering, or * Fragrance/aroma chemistry and computational chemistry methods . Successful candidates are eligible for a research studentship award from the University (GBP 15,009 per annum bursary plus payment of the student fees). Applicants from outside the UK or EU are eligible, too. Please contact Dr Michael Schmuker for informal inquiries (m.schmuker(a)biomachinelearning.net ). Application forms and instructions how to apply are available under http://www.herts.ac.uk/apply/schools-of-study/computer-science/our-research… . The short-listing process will begin on 1 July 2019. — Dr Michael Schmuker AFHEA Reader in Data Science Biocomputation Group University of Hertfordshire https://biomachinelearning.net

May 29, 2019