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Postdoc in Human Laminar Electrophysiology at NYU (BRAIN Initiative)
by Lucia Melloni 19 Feb '19

19 Feb '19

Postdoc in Human Laminar Electrophysiology at NYU (BRAIN Initiative) A full-time Postdoc position will be available in the NYU Comprehensive Epilepsy Center, to study the electrophysiological basis of laminar functional MRI (fMRI). The position is part of a National Institutes of Health BRAIN Initiative-funded project in collaboration with the Center for Magnetic Resonance Research (CMRR) at the University of Minnesota and Department of Cognitive Neuroscience at Maastricht University. The postdoc will conduct intracranial and laminar electrophysiological recordings, as well as 7T laminar fMRI studies in people with epilepsy, and collaborate closely with a team of leading neuroscientists, physicians, and biomedical engineers. The aim of the project is to understand the neural underpinning of the laminar functional MRI signals by combining in-vivo electrophysiology in humans (NYU), high field MRI (NYU/CMRR/Maastricht) and computational modeling (Maastricht/CMRR). The candidate will benefit from the rich resources of our neuroscience community, which includes researchers at NYU School of Medicine, NYU Langone Health’s Neuroscience Institute <https://med.nyu.edu/departments-institutes/neuroscience/>, and the Center for Neural Science at NYU. The candidate will work closely with collaborators at the CMRR (Dr. Yacoub), Maastricht (Drs. Formisano, De Martino, Havlicek) and CMRR/Toronto/Suwon (Dr.Uludag). The ideal candidate has a PhD in neuroscience, biomedical engineering, psychology, or a related field. She/he should have a solid background in (human) electrophysiology and signal processing (EEG, MEG and/or ECoG), programming (Matlab or Python), statistics, and scientific writing. The candidate is expected to be able to work independently, to enjoy interacting within an interdisciplinary research environment as well as with a clinical team, and to have a track-record of peer-reviewed publications. Some supervision and mentoring of research assistants and students is expected. Previous experience with human electrophysiology will be an asset. Preferred starting date: August 2019 or as soon as possible. Initial appointment will be for 2 years with the option to renew up to 4 years. Interested individuals should send an email to lucia.melloni(a)nyulangone.org <mailto:lucia.melloni@nyulangone.org> and sasha.devorea(a)nyulangone.org <mailto:sasha.devorea@nyulangone.org> including a cover letter describing research experience and qualifications, an academic CV, and contact information of 2-3 referees who have agreed to be contacted, by March 30th, 2019.

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Post doctoral position in neuroMRI to study BOLD-based spatiotemporal patterns of neural activity
by Verhoye Marleen 19 Feb '19

19 Feb '19

Dear The Bio-Imaging Lab at the University of Antwerp (Department of Biomedical Sciences of the Faculty of Pharmaceutical, Biomedical and Veterinary Sciences) is seeking to fill the following full time vacancy: Post doctoral (m/f) position in neuroMRI to study BOLD-based spatiotemporal patterns of neural activity for a period of one year, with the possibility of renewal for 1 year after positive evaluation. Starting date: ASAP. The position is available for a multidisciplinary project that aims to study changes in functional connectivity (FC) in animal models for Alzheimer. The Bio-Imaging lab has already great expertise in acquiring and analyzing BOLD-based FC. In this project, the post-doctoral fellow will create and implement algorithms to extract quasi-periodic patterns (QPPs), known as large-scale recurring spatiotemporal patterns of neural activity, which have been suggested to be likely contributors to 'altered' network connectivity. The project is multidisciplinary (acquiring MRI data of dedicated animal models by PhD students), where the focus of the Post Doc job lies in the advanced image analysis. Interested candidates should - hold a doctoral degree in (bio)-informatics, biomedical imaging, biomedical engineering, statistics, mathematics, physics, computational neuroscience or a closely related field. - have comprehensive knowledge and experience in one or more topics within the signal and image sciences: data analysis, signal processing techniques, statistical decision theory, and algorithm development. - be familiar with machine learning and pattern discovery techniques is a plus. - have experience with coding algorithms in C, C++, Matlab, Python, or similar language used in the signal and image sciences. - have preferably experience with in-vivo Neuro MRI analysis, neurosciences The full job announcement can be found here: https://www.uantwerpen.be/images/uantwerpen/container2675/files/Post%20doct… Candidates can learn more about the Bio-Imaging Lab at https://www.uantwerpen.be/en/rg/bio-imaging-lab/ The Lab is a member of the EGAMI (Expert Group Antwerp Molecular Imaging https://www.uantwerpen.be/en/rg/bio-imaging-lab/collaborations/egami-imagin… ), which represent a service platform that integrates all molecular imaging techniques and expertise present at the University of Antwerp. To apply please send your application, CV and two names of referees to An.Ost(a)uantwerpen.be<mailto:An.Ost@uantwerpen.be> and marleen.verhoye(a)uantwerpen.be<mailto:marleen.verhoye@uantwerpen.be>. Further information can be obtained from: Marleen Verhoye, PI at the Bio-Imaging lab (Tel: + 32 (0)3 265.27.86, Secretary: +32 (0) 3 265.27.80), Deadline of application: March 21th, 2019. Please forward this message to people who might be interested Regards, Marleen Verhoye Faculty of FBD/Department of Biomedical Sciences Campus Drie Eiken - Building UC 1.12 Universiteitsplein 1 - B-2610 Antwerp Belgium marleen.verhoye(a)uantwerpen.be http://bioimaginglab.ua.ac.be/ T +32 3 265 27 86

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Please post: Programmer/Analyst Opening in the Center for Visual Science in Rochester, NY
by Pasternak, Tatiana 18 Feb '19

18 Feb '19

Programmer/Analyst Opening in the Center for Visual Science in Rochester, NY The Center for Visual Science at the University of Rochester (http://www.cvs.rochester.edu) is seeking a computer programmer to develop software for studying visual information processing in the eye and brain. The position involves working with multiple faculty, postdoctoral fellows, and graduate students on a wide range of research projects and requires familiarity with at least some of the systems, programming languages/libraries, and other software tools listed below. Preference will be given to candidates with prior experience in 3D graphics, image processing, computer vision, interfacing of hardware and software, and/or vision research in general. A successful candidate should have a bachelor’s degree in computer science, engineering, mathematics, or a related field, and be comfortable working on multiple projects simultaneously in a fast-paced academic research environment. Systems: DOS, Windows, Macintosh, Linux Languages/Libraries: C, C++, C#, Java, Python, MFC, OpenGL, OpenCL Development tools: Visual Studio, .NET Framework, ASP.NET<http://ASP.NET>, MVC Software: Matlab, LabVIEW Applications should be sent to dshannon(a)ur.rochester.edu<mailto:dshannon@ur.rochester.edu>. **************************************** Tatiana Pasternak, Ph.D. Professor Del Monte Institute for Neuroscience Departments of Neuroscience, Brain & Cognitive Science, Biomedical Engineering, and Center for Visual Science University of Rochester

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[job] Call for postdoc application on curiosity-driven deep reinforcement learning
by Pierre-Yves Oudeyer 18 Feb '19

18 Feb '19

Call for postdoc application Topic: Intrinsically motivated multi-goal deep reinforcement learning in open virtual worlds Host and location: Inria Flowers Lab, Bordeaux, France Collaboration with Ubisoft (Bordeaux) Supervision: Pierre-Yves Oudeyer (Flowers team, Inria and Ensta ParisTech) Duration: between 18 months and 2 years Deadline for application: the position will be assigned and start as soon as possible (from april or may 2019). This postdoc project aims to develop autonomous lifelong machine learning techniques that enable virtual intelligent agents to make discoveries and acquire large repertoires of skills in open uncertain environments. This is key for developing agents that need to continuously explore and adapt interaction skills to new or changing tasks, environments, people to interact with, and preferences of others. The approach will leverage recent advances in curiosity-driven developmental learning (also called intrinsically motivated learning) to drive exploration in a multi-goal deep reinforcement learning framework. In particular, it will consist in studying several extensions of recent results of the Flowers lab in this area, including unsupervised learning of goal spaces using deep learning approaches (Laversanne-Finot et al., 2018) and the CURIOUS algorithm for intrinsically motivated multi-task multi-goal deep RL (Colas et al., 2019). These algorithms will be evaluated on benchmarks involving novel virtual environments dedicated to study exploration and curiosity (e.g. based on Unity3D MLagents), as well as modern open world video games in the context of a collaboration with Ubisoft (Bordeaux). Keywords : Deep RL, neural networks, multi-task learning, transfer learning, curiosity, intrinsic motivation, curriculum learning, Unity3D. Required knowledge and background: Candidates should already have shown very strong experience and achievements, shown by publications in top-tier AI/machine learning conferences and journals (e.g. NIPS, ICML, ICLR) in either: - Deep Learning algorithms (theory and practical implementations) - Reinforcement learning Other requirements: - strong skills in mathematics, statistical inference, machine learning - Advanced programming skills - Motivation to work in an interdisciplinary project Contact and application: Send CV and letter of motivation to pierre-yves.oudeyer(a)inria.fr Web: Inria Flowers: http://flowers.inria.fr and http://www.pyoudeyer.com The Flowers Lab: developmental robotics and lifelong multitask machine learning ================================================================== The Flowers Lab, headed by Pierre-Yves Oudeyer, gathers a team of ~20 members and has been one of the pioneers of developmental robotics and lifelong machine learning and artificial intelligence in the last decade, in particular through developping models of intrinsically motivated learning of repertoires of skills that have both contributed to advance understanding of human curiosity and development, and to advance incremental online multitask machine learning techniques in difficult high-dimensional robotic spaces. This work in the Flowers lab is conducted in the context of large international projects (e.g. ERC grant, European projects 3rdHand and DREAM, HFSP project Neurocuriosity), with interdisicplinary collaborations with other labs in neuroscience, psychology, machine learning and robotics. The successful candidates would be directly involved in these international collaborations. The Flowers lab has recently spin-off the Pollen Robotics startup company, and is involved in multiple collaborations with industrials through Inria's strong support towards impacting both science and industry. Inria and EnstaParistech =================== The lab is within Inria Bordeaux, which is a prestigious, and also the largest, public European research insitution focused on computer science, mathematics and their applications. Inria's teams and researchers (> 2800 employees) have received prestigious awards, coordinate many international projects, and have created strong innovations now used in many parts of industry. Inria research center in Bordeaux gathers around 300 researchers. The Flowers Lab is also associated to EnstaParisTech, which is a prestigious French engineering school (university). Bordeaux ======== The Flowers lab in Bordeaux is located in a great building on the border of one of the world most famous vineyard, and 10mn by tram from Bordeaux town center (and 2 hours from Paris through high-speed trains): https://www.inria.fr/en/centre/bordeaux Bordeaux has been recently rated by Lonely Planet as the world's best city to visit: http://www.independent.co.uk/travel/news-and-advice/best-cities-in-the-worl… References: Baranes, A., & Oudeyer, P. Y. (2013) Active learning of inverse models with intrinsically motivated goal exploration in robots. Robotics and Autonomous Systems, 61(1), 49-73. https://hal.inria.fr/hal-00788440/document COLAS, Cédric, SIGAUD, Olivier, et OUDEYER, Pierre-Yves (2019) CURIOUS: Intrinsically Motivated Multi-Task, Multi-Goal Reinforcement Learning. https://arxiv.org/pdf/1802.05054.pdf Colas, C., Sigaud, O., and P-Y. Oudeyer (2018) Gep-pg: Decoupling exploration and exploitation in deep reinforcement learning algorithms. arXiv preprint arXiv:1802.05054, 2018. https://arxiv.org/abs/1802.05054 Laversanne-Finot, A., Péré, A., Oudeyer, P-Y. (2018) Curiosity Driven Exploration of Learned Disentangled Goal Spaces, In Proceedings of Conference on Robot Learning (CoRL 2018). Blog post : https://openlab-flowers.inria.fr/t/discovery-of-independently-controllable-… Péré, A., Forestier, S., Sigaud, O, and P.-Y. Oudeyer (2018) Unsupervised learning of goal spaces for intrinsically motivated goal exploration. In International Conference on Learning Representations (ICLR), 2018. https://arxiv.org/abs/1803.00781

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Abstract submissions open for UK Neural Computation 2019
by Mark Humphries 18 Feb '19

18 Feb '19

The UK Neural Computation 2019 meeting is now accepting abstract submissions. The main meeting will be 2nd-3rd July 2019, at the University of Nottingham. Abstracts can be in any field of neural computation and computational neuroscience. 300 words maximum. All submissions will be considered for the poster sessions. Please indicate if you are interested in giving a talk (4 abstracts will be selected for talks) Abstract submission closes: May 10th Decisions: May 24th Please visit the Abstracts page for full details on how and where to submit: https://drmdhumphries.wixsite.com/ukneuralcomp2019/abstracts Full details of the conference are here: https://drmdhumphries.wixsite.com/ukneuralcomp2019 Invited speakers: Athena Akrami / Andy Barron / Tim Behrens / Claudia Clopath / Matthias Hennig / Simon Laughlin / Rosalyn Moran / Cian O'Donnell / Chris Summerfield / Tim Vogels / Barbara Webb Chair: Mark Humphries Committee: Hannes Saal, Robert Schmidt and Stuart Wilson. 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.

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PhD position to study neural representations of spatial memory in freely moving mice
by Pablo Jercog 18 Feb '19

18 Feb '19

Project Title: Neuronal representations of spatial memories: immune ablation of synaptic mechanisms of memory formation as an animal model of memory malfunction. Keywords: spatial memory, neural activity, hippocampus and cortex interaction, NMDA receptors, calcium imaging, animal behavior, quantitative data analysis Project description: This is a unique opportunity for a strongly motivated candidate interested in studying how information is stored long-term in the brain. The candidate will develop a set of read-outs to measure how memories are generated, retain and recalled utilizing calcium imaging data and animal behavioral readouts. The behavior is be combined with a cutting-edge freely moving calcium imaging technology (nVista minimicroscopes) to simultaneously monitor the activity of large number of individual neurons distributed over many days. Using our recently established reversible antibody-mediated disruption of NMDA receptor function in mice (Planagumà et al 2015) we will characterize at the behavioral and neural circuit levels, the mechanisms of memory formation and recall during normal and malfunctioning brains. The candidate will perform quantitative analyses of large data sets using methods from modern statistical analysis and machine learning. The project will be developed within a collaboration between several investigators in IDIBAPS (Barcelona): Josep Dalmau, MD, PhD, Jaime de la Rocha PhD, Albert Compte PhD and Pablo Jercog PhD. Together, these labs have a strong publication record investigating the neural circuit basis of different types of memory formation mechanisms, and synaptic receptor mediated autoimmune brain pathologies, and they have extended experience in Calcium imaging, electro-physiology, analysis of behavioral/neuronal data sets and computational modeling. The project is supported by CELLEX foundation and will be developed at IDIBAPS, a public biomedical research institute whose mission is to encourage Systems Neuroscience, translational research, and technological progress in the field of Biomedicine. The candidate will enroll in the Biomedicine PhD program of the University of Barcelona, one of the most exciting cities to develop a broad range of biotechnologies in Europe. Candidate profile: Candidates with a very good track record in their undergraduate degree (e.g. physics, math, bioinformatics, bioengineering), a Master’s in a neuroscience-related discipline and with an interest in cognition, and advanced data analysis techniques are encouraged to apply. Candidates with good oral and written skills in English will be given preference. Previous experience with neuroscience data analysis or programming (Matlab, Python, etc.) will be highly valued. Applications should be addressed to Pablo Jercog (pjercog(a)gmail.com) with the subject: “predoctoral position” and include a: Statement of Research Interest, CV and 1-2 referees information. Candidates will be evaluated starting in March 1st 2019 and until the position is filled. Estimated starting date: between May and September 2019. Pablo Jercog Cellex Fellow IDIBAPS, Cellex Centre C. Roselló 149-153 (CEK -1) Barcelona, Barcelona, 08036, Spain. tel: +34 932275400 (4167) cell: +34 620562808 e-mail: pjercog(a)gmail.com

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Up to 7 PhD fellowships in Cognitive Neuroscience at SISSA, Trieste, Italy
by Alessandro Treves 17 Feb '19

17 Feb '19

SISSA is an elite postgraduate research institution, focused on Maths, Physics and Neuroscience. It operates in English: many among its students and faculty are not Italian. Campus above Trieste, overlooking the Gulf. Research approaches in the CNS PhD https://phdcns.sissa.it/ span the range from cognitive psychology and imaging in humans to behavioural neuroscience and multiple single-unit recording in rats, mathematical and computational modeling; with research groups led by Domenica Bueti, Davide Crepaldi, Mathew Diamond, Chris Mathys, Raffaella Rumiati, Alessandro Treves and Davide Zoccolan. Allied approaches are pursued in other SISSA PhDs. All admitted students receive a 4-year fellowship and engage full-time in research based in Trieste, with limited coursework in the first few months, talks and seminars throughout the year and a TEX event in the summer. First deadline for all candidates: 12.3.2019, for nonEU only: 28.2.2019 https://www.sissa.it/bandi/concorso-lammissione-ai-corsi-di-phd-della-sissa… -- Alessandro Treves http://people.sissa.it/~ale/limbo.html SISSA - Cognitive Neuroscience, via Bonomea 265, 34136 Trieste, Italy +39-040-3787623 Ambassador (BlaBlaCar) +39-349-2504602

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postdoc positions with Peter Dayan
by Peter Dayan 15 Feb '19

15 Feb '19

From: Peter Dayan I recently moved my lab to the Max Planck Institute for Biological Cybernetics in Tuebingen. I am therefore recruiting one or more postdocs working in the areas of neural reinforcement learning and computational psychiatry. I am seeking postdocs working in neuromodulation, meta-control, neuroimaging and behavioural experiments and analysis, and all areas of dysfunctional decision-making. I am going to be attending COSYNE 2019 - so would be very happy to meet there. The aim of the MPI for Biological Cybernetics as a whole is to understand information processing in the brains of humans and animals. We use experimental, theoretical and computational methods to elucidate the characteristics and implementations of the cascades of plastic and recurrent interactions that transform sensory data into perceptions, memories, appropriate choices of actions, and motor output. We are richly multidisciplinary, have excellent facilities, and are building close links with neighbouring Max Planck Institutes and the University of Tuebingen that cover systems neuroscience, machine learning, and beyond. The working language of the Institute is English. Remuneration will depend on experience. The position will be for two years. Applications should include a CV, a list of publications, summaries of scientific achievements and research plans, and the names and contact details of three referees. Applications should be sent in PDF format to: kyb-application(a)tuebingen.mpg.de My lab, the Institute and the Max Planck Society strive for gender and diversity equality. We welcome applications from people from all backgrounds. Informal inquiries can be addressed to Peter Dayan: kyb-inquiry(a)tuebingen.mpg.de

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Postdoc position – studying the effect of cellular mechanisms on cortical circuit activity using computational modelling, at Hay lab (KCNI and UofT)
by Etay Hay 15 Feb '19

15 Feb '19

Postdoc position – studying the effect of cellular mechanisms on cortical circuit activity using computational modelling, at Hay lab (KCNI and UofT) Hay lab is currently accepting applications from postdocs interested in using computational models to study the effect of cellular mechanisms on cortical circuit activity, in health and disease. We will simulate biophysical models of somatosensory cortical circuits, constrained with recordings from rodents and humans, to study the effect of synaptic connectivity and dendritic ion channels on cortical circuit activity. In turn, we will characterize the predicted signatures of the effects in measurable signals of cortical circuit activity, which will include the spatiotemporal propagation of neuronal spiking activity, LFP in different cortical layers, and EEG. Applicants should have experience in simulating neuronal networks (conductance-based or integrate-and-fire), and using NEURON and Matlab. Our lab is located at the Krembil Centre for Neuroinformatics (KCNI), which is part of the Centre for Addiction and Mental Health (CAMH). We are affiliated with the University of Toronto, and are situated at the heart of the downtown campus. Neuroscience research at KCNI offers a unique environment that is both specialized and collaborative, spanning computational genomics, brain circuits, whole-brain networks, and behavior. Interested applicants should send their CV to Dr. Etay Hay, at: etay.hay(a)camh.ca Etay Hay PhD Scientist, Krembil Centre for Neuroinformatics, CAMH Assistant Professor, Department of Psychiatry, University of Toronto www.haybrainlab.com CONFIDENTIALITY NOTICE: This e-mail message, including any attachments, is for the sole use of the intended recipient(s) and may contain confidential and privileged information. Any unauthorized review, use, disclosure or distribution is prohibited. If you are not the intended recipient, please contact the sender by reply e-mail and destroy all copies of the original message. AVIS DE CONFIDENTIALITÉ : Ce message électronique, ainsi que tout fichier qui y est joint, est reserve à l'usage exclusif du destinataire visé et peut contenir des renseignements confidentiels et privilégiés. Toute lecture, utilisation, divulgation ou distribution non autorisée est interdite. Si vous n'êtes pas le destinataire visé, veuillez en aviser l'expéditeur par retour de courriel et détruire toutes les copies du message original.

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position: machine learning research scientist at NIMH
by Francisco Pereira 15 Feb '19

15 Feb '19

The Machine Learning Team at the National Institute of Mental Health (NIMH) in Bethesda, MD, has an open position for a machine learning research scientist. The NIMH is the lead federal agency for research on mental disorders, and part of the the National Institutes of Health (NIH). Our mission is to help NIMH scientists use machine learning methods to address a diverse set of research problems in clinical and cognitive psychology and neuroscience. These range from identifying biomarkers for aiding diagnoses to creating and testing models of mental processes in healthy subjects. We work with many different data types, including very large brain imaging datasets from various imaging modalities, behavioral data, and picture and text corpora. We also develop new machine learning methods and publish in the main machine learning conferences (e.g. NeurIPS and ICLR), and in psychology and neuroscience journals. Many of our problems require devising research approaches that combine imaging and non-imaging data, and leveraging structured knowledge resources (databases, scientific literature, etc) to generate explanations and hypotheses. We have excellent computational resources, both of our own (tens of GPUs for deep learning) and shared within the NIH (a top-100 supercomputer with hundreds of thousands of CPUs, and hundreds of GPUs). You can find more about our work and publications at https://cmn.nimh.nih.gov/mlt.html. This is an ideal position for someone who wants to establish a research career in methods development and applications driven by scientific and clinical needs. Given our access to a variety of collaborators and large/unique datasets, there is ample opportunity to match research interests with novel research problems. We also maintain collaborations outside of the NIH, driven by our own research interests. We are seeking candidates with practical machine learning experience (e.g. training of classification and regression models, statistical testing of results, interpretation and visualization of key aspects of models). Beyond this, the ideal candidate would have knowledge of optimization and statistics, insofar as they bear on machine learning methods development. Experience working with neuroimaging data (any MRI modality, as well as MEG/EEG) will be considered very favorably, but is not required. Finally, you should have demonstrable experience coding in languages currently used in data-intensive, scientific computing such as Python, MATLAB or R. If you would like to be considered for this position, please send francisco.pereira(a)nih.gov a CV, with your email as cover letter; if you have a research statement, please feel free to send that as well. Other inquiries are also welcome. Thank you for your interest! ReplyForward <https://drive.google.com/u/0/settings/storage?hl=en> <https://www.google.com/intl/en/policies/terms/> <https://www.google.com/intl/en/policies/privacy/> <https://www.google.com/gmail/about/policy/>

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PhD, Master and Postdoc positions in theoretical neuroscience at the MPI for Brain Research
by Tatjana Tchumatchenko 15 Feb '19

15 Feb '19

PhD, Master and Postdoc positions in theoretical neuroscience at the Max Planck Institute for Brain Research We are looking for undergraduate students interested in writing a Master or PhD thesis and also have open positions for Postdocs to join our group "Theory of neural dynamics" at the Max Planck Institute for Brain Research lead by Dr. Tatjana Tchumatchenko. Our group studies how networks of neurons encode and decode sensory stimuli and how these functions are related to computations that underlie cognitive functions and behavior. We develop models to address linear and non-linear properties of neuronal networks and have ongoing collaborations with experimental labs where we analyze in vitro as well as in vivo data and develop appropriate models to explain the observed phenomena. Successful applicants should have a strong background in a quantitative field such as physics, mathematics or computer science and should be interested in an interdisciplinary exchange with other disciplines such as biology or medicine. Life science majors interested in quantitative modeling work are also encouraged to apply, particularly if they would like to combine experiments and theory in their Master or Ph.D. thesis work. We are looking for candidates with strong English skills and prior programming experience. In order to make teamwork in our group enjoyable and fun, the ideal candidate should have a strong work ethic and have demonstrated consistent self-motivation skills. Female students are particularly encouraged to apply. Prospective students should apply by sending an email to theoryneuraldynamics(a)gmail.com which includes * a letter of motivation, * CV, * and a copy of the current academic transcripts To make your motivation letter easier to write for you and more informative for us, please check the list of questions to be answered in your motivation letter at http://www.tchumatchenko.de/Opportunities.html Looking forward to your applications! Tatjana Tchumatchenko

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Post-doctoral position: Applying machine learning and Bayesian modeling to functional connectivity
by Joshua Hartshorne 14 Feb '19

14 Feb '19

Profs. Stefano Anzellotti and Joshua Hartshorne (Psychology Department, Boston College) are seeking a post-doctoral fellow for a collaborative project applying machine learning and nonparametric models to functional connectivity data in order to better understand individual variability in Autism Spectrum Disorder. This position is funded for two years and may be extended, pending additional funding. Candidates can learn more about the PIs and labs at sccnlab.bc.edu and l3atbc.org. Qualifications include either experience with functional neuroimaging (especially functional connectivity) or computational modeling. Experience with both is a plus. To apply, submit a CV, contact information for 2-3 references, and a cover letter highlighting relevant research experiences and interests directly to: jkhartshorne+sfari(a)gmail.com Preferred start date is between April 1 and Sep. 1. Boston College is an Equal Opportunity Employer. Candidates from backgrounds underrepresented in psychology/neuroscience are particularly encouraged to apply. Review of applications is rolling and will continue until the position is filled.

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Call for abstracts, AMAM 2019, Adaptive motion in animals and machines, Aug 20-23 2019, EPFL, Lausanne, Switzerland
by Auke Ijspeert 13 Feb '19

13 Feb '19

AMAM 2019, Adaptive Motion in Animals and Machines, Aug 20-23 2019, EPFL, Lausanne, Switzerland https://amam2019.epfl.ch/ Call for abstracts, deadline March 8th, 2019 Investigating how animals and humans excel at adaptive movements can help engineers to improve the adaptive capabilities of robots. In return, robots can serve as scientific tools to explore the basic principles of biological systems, in particular the neuromechanical mechanisms underlying their fascinating motor abilities. AMAM 2019 is the 9th international symposium dedicated to stimulate fruitful interactions among biologists and engineers interested in adaptive motion. It aims at bringing together researchers in robotics, biomechanics, neuroscience, sports science, and other fields related to motor behavior in biological and artificial systems. Previous symposia were held in Montreal, Canada (2000); Kyoto, Japan (2003); Ilmenau, Germany (2005); Cleveland, USA (2008); Awaji, Japan (2011); Darmstadt, Germany (2013); Cambridge, USA (2015); and Sapporo, Japan (2017). Two-page abstract contributions are invited from all areas pertaining to adaptive motion in animals and machines. Accepted abstracts will be presented in poster sessions and short high-light presentations (3 slides, 2 min). Plenty of time will be dedicated for fruitful discussions among participants. Invited talks will be presented in oral sessions in a single track (see the exciting list of speakers below). We also encourage participants to contribute hardware demonstrations, as part of the ‘Robot Zoo’@AMAM2019. See https://amam2019.epfl.ch/ for instructions. Important dates: * March 8th, 2019 Deadline of extended abstracts submission * April 12th, 2019 Notification of acceptance for extended abstracts * May 31st, 2019 Deadline of submission for Robot Zoo (Robot Demos) * August 20-23, 2019 Conference Sponsors: Swiss National Science Foundation and Maxon https://www.maxonmotor.com Plenary speakers: * Grégoire Courtine, EPFL, Switzerland * Monica Daley, Royal Veterinary College, UK * Dario Floreano, EPFL, Switzerland * Radhika Nagpal, Harvard University, USA * Lena Ting, Emory University & Georgia Institute of Technology, USA * Herman van der Kooij, University of Twente & Delft University of Technology, Netherlands Invited speakers: * Shinya Aoi, Kyoto University, Japan * David Franklin, Technische Universität München, Germany * John Hutchinson, Royal Veterinary College, UK * Tetsuya Iwasaki, University of California, Los Angeles, USA * Katsushi Kagaya, Kyoto University, Japan * Sangbae Kim, MIT, USA * Megan Leftwich, The George Washington University, USA * David Lentink, Stanford University, USA * Charlotte Le Mouel, Max Planck Institute for Intelligent Systems, Germany * Poramate Manoonpong, University of Southern Denmark, Denmark * Kamilo Melo, EPFL, Switzerland * Katja Mombaur, Heidelberg University, Germany * Beth Mortimer, University of Oxford, UK * Ulrike Müller, California State University, Fresno, USA * Jamie Paik, EPFL, Switzerland * Pavan Ramdya, EPFL, Switzerland * Chris Richards, Royal Veterinary College, UK * Nidhi Seethapathi, University of Pennsylvania, USA * Simon Sponberg, Georgia Institute of Technology, USA * Emily Standen, University of Ottawa, Canada * Dagmar Sternad, Northeastern University, USA * Barbara Webb, University of Edinburgh, UK * Kotaro Yasui, Tohoku University, Japan Program Committee: * Hitoshi Aonuma, Hokkaido University, Japan * Jordan Boyle, Leeds University, UK * Monica Daley, Royal Veterinary College, UK * Koh Hosoda, Osaka University, Japan * Fumiya Iida, Cambridge, UK * Auke Ijspeert, EPFL, Lausanne, Switzerland * Akio Ishiguro, Tohoku University, Japan * Masato Ishikawa, Osaka University, Japan * Takeshi Kano, Tohoku University, Japan * Sangbae Kim, MIT, USA * Jun Nishii, Yamaguchi University, Japan * Dai Owaki, Tohoku University, Japan * Andre Seyfarth, TU Darmstadt, Germany * Emily Standen, University of Ottawa, Canada * Dagmar Sternad, Northeastern University, USA * Barry Trimmer, Tufts University, USA * Eric Tytell, Tufts University, USA * Hartmut Witte, TU Ilmenau, Germany Local organization committee: * Jonathan Arreguit * Alessandro Crespi * Florin Dzeladini * Peter Eckert * Sylvie Fiaux * Anne Koelewijn * Mehmet Mutlu * Laura Páez * Amy Wu -- ----------------------------------------------------------------- Prof Auke Jan Ijspeert Biorobotics Laboratory EPFL-STI-IBI-BIOROB, ME D1 1226, Station 9 EPFL, Ecole Polytechnique Fédérale de Lausanne CH 1015 Lausanne, Switzerland Office: ME D1 1226 Tel: +41 21 693 2658 Fax: +41 21 693 3705 www:http://biorob.epfl.ch Email:Auke.Ijspeert@epfl.ch -----------------------------------------------------------------

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Cognitive Modeling Spring School: Early Registration Deadline ends this Friday
by Jelmer Borst 13 Feb '19

13 Feb '19

Fourth Groningen Spring School on Cognitive Modeling – ACT-R, Nengo, PRIMs, & Error-driven learning– Date: April 8-12, 2019 Location: Groningen, the Netherlands Fee: € 250 (late fee after February 15 will be € 300) More information and registration: www.cognitive-modeling.com/springschool <http://www.cognitive-modeling.com/springschool> The deadline for our Spring School ends this Friday. So if you want to profit from the early fee, be fast. The Spring School will cover four paradigms: ACT-R, Nengo, PRIMs, and error-driven learning. More information about the paradigms can be found below and on our website. Please let us know if you have any questions. Best regards, the Spring School team Please feel free to forward the information to anyone who might be interested in the Spring School. ______________ Error-driven learning Teachers: Jacolien van Rij and Dorothée Hoppe (University of Groningen) Error-driven learning (also called discrimination learning) allows to simulate the time course of learning. It is based on the Rescorla-Wagner model (Rescorla & Wagner, 1972) for animal cognition, which assumes that learning is driven by expectation error, instead of behaviorist association (Rescorla, 1988). The equations formulated by Rescorla and Wagner have been used to investigate different aspects of cognition, including language acquisition (e.g., Hsu, Chater, and Vitányi, 2011; St. Clair, Monaghan, and Ramscar, 2009), second language learning (Ellis, 2006), and reading of complex words (Baayen et al, 2011). Although error-driven learning can be applied for all domains in cognitive science, in this course we will focus on how it could be used for modeling language processing and language learning. ACT-R Teachers: Jelmer Borst & Katja Mehlhorn (University of Groningen) Website: http://act-r.psy.cmu.edu <http://act-r.psy.cmu.edu/>. ACT-R is a high-level cognitive theory and simulation system for developing cognitive models for tasks that vary from simple reaction time experiments to driving a car, learning algebra, and air traffic control. ACT-R can be used to develop process models of a task at a symbolic level. Participants will follow a compressed five-day version of the traditional summer school curriculum. We will also cover the connection between ACT-R and fMRI. Nengo Teacher: Terry Stewart (University of Waterloo) Website: http://www.nengo.ca <http://www.nengo.ca/> Nengo is a toolkit for converting high-level cognitive theories into low-level spiking neuron implementations. In this way, aspects of model performance such as response accuracy and reaction times emerge as a consequence of neural parameters such as the neurotransmitter time constants. It has been used to model adaptive motor control, visual attention, serial list memory, reinforcement learning, Tower of Hanoi, and fluid intelligence. Participants will learn to construct these kinds of models, starting with generic tasks like representing values and positions, and ending with full production-like systems. There will also be special emphasis on extracting various forms of data out of a model, such that it can be compared to experimental data. PRIMs Teacher: Niels Taatgen (University of Groningen) Website: http://www.ai.rug.nl/~niels/actransfer.html <http://www.ai.rug.nl/~niels/actransfer.html> How do people handle and prioritize multiple tasks? How can we learn something in the context of one task, and partially benefit from it in another task? The goal of PRIMs is to cross the artificial boundary that most cognitive architectures have imposed on themselves by studying single tasks. It has mechanisms to model transfer of cognitive skills, and the competition between multiple goals. In the tutorial we will look at how PRIMs can model phenomena of cognitive transfer and cognitive training, and how multiple goals compete for priority in models of distraction.

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Neural Circuits Workshop, June 3-5, 2019, Austin Texas
by Terry Sejnowski 12 Feb '19

12 Feb '19

*CONNECTING NEURONAL CIRCUITS TO SUBCELLULAR RESOURCES THAT INFLUENCE SYNAPTIC WEIGHT* Organizers: Kristen Harris, James Carson, Terry Sejnowski Location:Texas Advanced Computing Center University of Texas at Austin When: June 3-5, 2019 Workshop: Presentations and hands-on demonstrations. June 3 – 6:00 pm Thomas Reese, Keynote address and Dinner June 4 – 8:30 am – 5:00 pm workshop 6:30 group dinner June 5 – 8:30 am – 3:00 pm workshop Topics: •Next generation electron microscopy. •Alignment and segmentation tools. •Proofreading and reconstruction tools. •Quantitative analysis. •3DEM discovery environments. •Other! Presenters chosen from applications: /Title,Abstract, Indicate tool you would demonstrate/use./ /Author Names and Affiliations, and Contact information./ /Some Competitive Travel Grants Available – describe need./ Submit Applications and requests to: //Anna-Maria Escherich amescherich(a)austin.utexas.edu <mailto:amescherich@austin.utexas.edu>

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[comp-neuro] PhD position(s) in Deep Learning for VR avatars in sport training and motor rehabilitation
by Dr Cristian Axenie 12 Feb '19

12 Feb '19

Dear colleagues, We are now accepting applications for passionate students willing to pursue an interdisciplinary PhD within the newly established AUDI Konfuzius-Institut Ingolstadt Lab, a joint technology and research initiative supported by Audi, Technical University of Applied Sciences Ingolstadt and the City of Ingolstadt, Germany. https://audi-konfuzius-institut-ingolstadt.de/forschung/akii-microlab/micro… Our focus is to explore the application of AI, ML, and especially Deep Learning techniques, to leverage Virtual Reality avatar reconstruction for applications ranging from performance sports training to motor rehabilitation. If you have interest in cutting edge research at the border of AI, Machine Learning, Computer Graphics and VR then let us know. To get a feeling of the type of research we're conducting check VIRTOOAIR: https://audi-konfuzius-institut-ingolstadt.de/23132/neural-network-predicti… We seek highly motivated candidates with strong programming skills, analytical skills and creativity. A degree in electrical engineering or computer science (or equivalent) with focus on AI and ML is a must. Knowledge and expertise in VR and computer graphics are a plus. For applying, please send your CV and motivation letter to cristian.axenie(a)audi-konfuzius-institut-ingolstadt.de Thank you! --- Dr. Cristian Axenie Head of AKII Microlab PI in Artificial Intelligence and Machine Learning +49 171 105 4217 cristian.axenie(a)audi-konfuzius-institut-ingolstadt.de Esplanade 10, D-85049 Ingolstadt Germany

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Call for Participation: 100th Meeting of the Pacific Division of AAAS in Ashland Oregon June 18-22, 2019
by James Bower 11 Feb '19

11 Feb '19

Hello all, Back in the business of meeting organization :-). - I would like to specifically draw your attention to the request for presentations related to: “the expanding role of computational modeling in basic science”. As you can see, this is a highly interdisciplinary meeting providing participants the opportunity to explore issues of science, public policy, culture and even art very broadly. Participation is not limited to those in the western United States, but Ashland is easy to get to from the major west coast cities, and I would love to have representation from the comp neuroscience community. The meeting is especially tailored to student participation, graduate and undergraduate. Very best regards and I hope to see some of you in Ashland this June. Jim Bower > > >> >> <http://click.aaas.sciencepubs.org/?qs=166c48b32e4d9ebba9fd5941f10303b3e64b3…> >> 100th Annual Meeting >> Southern Oregon University >> Ashland, Oregon >> June 18 - 21, 2019 >> associations.sou.edu/aaaspd <http://click.aaas.sciencepubs.org/?qs=166c48b32e4d9ebb35fa3307c2365cfd32592…> >> The 2019 meeting of the Pacific Division of AAAS <http://click.aaas.sciencepubs.org/?qs=166c48b32e4d9ebb35fa3307c2365cfd32592…> will be held on the campus of Southern Oregon University, <http://click.aaas.sciencepubs.org/?qs=166c48b32e4d9ebbe1ca7c601a6cf6a3cc111…> Ashland, Oregon, 18 – 21 June 2019. We are pleased to announce that the Northwest and Southwest Regions of Sigma Xi, the Scientific Research Honor Society, will once again join us for this meeting. Membership in AAAS or its affiliated societies is not required to participate in or present research at this meeting. >> Ashland, Oregon <http://click.aaas.sciencepubs.org/?qs=166c48b32e4d9ebb88fe51311f2b98d869641…> and the Rogue River Valley <http://click.aaas.sciencepubs.org/?qs=166c48b32e4d9ebb67c13f065e227a295101a…> are unique locations in Southern Oregon with wonderful opportunities to enjoy the natural world, including world famous Crater Lake <http://click.aaas.sciencepubs.org/?qs=166c48b32e4d9ebb872145c62caa032d99fb8…>, as well as unique cultural opportunities, like the Oregon Shakespeare Festival <http://click.aaas.sciencepubs.org/?qs=166c48b32e4d9ebbf94bd114130bbd88997a4…>, and many gastronomic <http://click.aaas.sciencepubs.org/?qs=166c48b32e4d9ebbc35c26eda0f7b3db07e81…> and horticultural riches <http://click.aaas.sciencepubs.org/?qs=166c48b32e4d9ebb7407ac3a3fc031eb695ea…>. A wonderful place to bring your family. >> All scientists, including graduate and undergraduate students, citizen scientists, college and university faculty and staff, and industry scientists, are invited to present their research results at the meeting, either orally or as posters. Persons paying the registration fee may attend all scientific sessions as well as participate in many other activities. Field trips require advance registration and payment of additional fees. >> In This Issue >> • Special Meeting Themes <x-msg://10/#A> >> • Common Topics for the Local Community <x-msg://10/#B> >> • What are Your Key Words? <x-msg://10/#C> >> • How Does Your Submission Connect to Science? <x-msg://10/#D> >> • Join Us for a Full Schedule of Activities <x-msg://10/#E> >> • Questions? <x-msg://10/#F> >> >> <>Special Meeting Themes <http://click.aaas.sciencepubs.org/?qs=166c48b32e4d9ebb34c90afb66c66a8ef9ab3…> >> While as always, the meeting is happy to accept symposium presentations and contributed oral and poster presentation in any of the broad science disciplines indicated below, this year we have also identified several themes around which we will organize part of the meeting. If your symposium, workshop, or contributed oral or poster presentation is relevant to one (or more) of these themes, please include the theme(s) in your list of key words. >> <>Common Topics for the Local Commmunity <http://click.aaas.sciencepubs.org/?qs=166c48b32e4d9ebbc05720a2757a81874bb66…> >> Working with local community leaders we have identified several topics of particular interest to the local community. >> • Climate change >> • Causes and impacts of forest fires >> • Societal and economic implications of AI, machine learning, and robotics >> • The opioid epidemic >> • Local Oregon environmental issues including the proposed Coos Bay pipeline and efforts to remove dams from the Klamath River >> • Diversification of local agriculture >> • The biology of aging >> • The science of wine >> • Impact and issues concerning pollinators >> <>What Are the Key Words of Your Symposium, Workshop, or Research? <http://click.aaas.sciencepubs.org/?qs=166c48b32e4d9ebbffc8fa54ab934d6d2d19a…> >> Please also indicate in the key words if your symposium, workshop or contributed research relates to the following issues in science and technology: >> • The future of scientific publishing >> • The future of higher education >> • The expanding role of computational modeling in basic science >> • New approaches to STEM education: k-12 >> • The importance of interdisciplinary approaches in science and technology >> • Engaging the public in science >> • Fostering inclusion of underrepresented minorities in science >> <>How Does Your Submission Connect to Science? <http://click.aaas.sciencepubs.org/?qs=166c48b32e4d9ebb72cd3152f7a079a21c46b…> >> Finally, this year’s meeting is also making an explicit effort to link and collaborate with regional cultural organizations and assets. Accordingly, please indicate in your key words if your submission is potentially relevant to linkage between science and: >> • Theater >> • Film >> • Art >> • Music >> <>Plan to join us for a full schedule of activities >> • Contributed oral and poster paper sessions (submission deadline April 18) >> • CALL for ABSTRACTS for CONTRIBUTED PAPERS and POSTERS <http://click.aaas.sciencepubs.org/?qs=166c48b32e4d9ebb4b72807b94dd5d8ea46b8…> >> >> • Symposia (submission deadline April 1) >> • CALL for SYMPOSIA <http://click.aaas.sciencepubs.org/?qs=166c48b32e4d9ebbd65caabe6518329fc44c0…> >> >> • Workshops (submission deadline April 1) >> • CALL for WORKSHOPS <http://click.aaas.sciencepubs.org/?qs=166c48b32e4d9ebbd65caabe6518329fc44c0…> >> >> • Field trips >> • In keeping with a long tradition for this meeting, a wide range of field trips will be offered to meeting participants and their families. Discount prices will also be arranged for a number of outdoor adventures. >> >> • Hands on science banquet <http://click.aaas.sciencepubs.org/?qs=166c48b32e4d9ebbcaead0944f9292f084718…> >> • Networking opportunities >> • And much more! >> >> <>Questions? >> Contact James Bower, Executive Director of the Pacific Division, by email at bowerj(a)sou.edu. <mailto:bowerj@sou.edu> >> >> <http://click.aaas.sciencepubs.org/?qs=166c48b32e4d9ebb82f599d2fab795415c065…> Manage Your Email Subscription Preferences | Unsubscribe <http://click.aaas.sciencepubs.org/?qs=166c48b32e4d9ebb97019d52e669189dd00e2…> | Privacy Policy <http://click.aaas.sciencepubs.org/?qs=166c48b32e4d9ebb98682473fd7b8b0c5125d…> | Forward to a friend <http://view.aaas.sciencepubs.org/ftaf.aspx?qs=4d099bbbcb6bad6b70eebec04f0af…> >> This email was sent on behalf of Special Announcements from AAAS/Science to: BOWERJ(a)SOU.EDU <mailto:BOWERJ@SOU.EDU> >> >> AAAS/Science | 1200 New York Avenue NW | Washington, DC 20005 | USA >> +1-202-326-6730 | 866-265-4152 (toll-free in the USA) >> >> Copyright © 2019 American Association for the Advancement of Science >> >

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Prometheus: Cloud Computing Portal for Computational Optogenetics
by Nikolic, Konstantin 11 Feb '19

11 Feb '19

We would like to announce the availability of "Prometheus: Cloud Computing Portal for Computational Optogenetics". This is a web-based portal for PyRhO - a set of tools with a GUI for modelling and simulating opsins in neurons, using Python, Neuron or Brian 2. The main attraction is that all necessary modules and dependencies are already installed and configured (including the Python programming language, commonly used scientific Python libraries, NEURON and Brian2 simulation platforms) and the GUI comes with some pre-loaded values. So the platform can be used immediately. Absolutely no installation or set-up is required, just a web-browser, since the portal is using IPython/Jupyter<https://jupyter.org/> notebook. The portal is available here: http://try.projectpyrho.org/ To simplify things, there is no registration wall at the moment. But please note that the resources we are currently renting from a cloud computing service provider are limited. So please be patient - sometimes it might take more time to execute your job, depending on the number of users running their codes at the same time. A paper describing the platform, including several demonstrations, has been published: Evans et.al: "PyRhO: A Multiscale Optogenetics Simulation Platform", Frontiers in Neuroinformatics (2016): https://www.frontiersin.org/articles/10.3389/fninf.2016.00008/full Best regards, Dr Benjamin Evans, Bristol University, UK Dr Konstantin Nikolic, Imperial College London, UK

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MBL Methods in Computational Neuroscience Course
by Stephen A. Baccus 09 Feb '19

09 Feb '19

Applications are open for the Methods in Computational Neuroscience course at the Marine Biology Laboratory in Woods Hole, MA. The course will run from July 29 to August 23, 2019, and the online application form can be found at: https://ws2.mbl.edu/studentapp/studentapp.asp?courseid=MCN The course application deadline is *March 19*. The course covers a range of topics in computational neuroscience including neuronal biophysics, neural coding & information processing, circuit dynamics, learning & memory, motor control, and cognitive processing & disease. In addition, numerous tutorials and problem sets will cover a broad range of computational and mathematical modeling methods. The course strongly emphasizes the collaboration between theory and experiment in solving neuroscience problems, and lectures will be given by a mixture of theorists and experimentalists. The final weeks of the course are primarily reserved for work on projects that students design in collaboration with the resident faculty. Further information can be found on the MCN website: http://www.mbl.edu/mcn/ 2019 Course Directors: Stephen Baccus, Stanford University Xiao-Jing Wang, New York University 2019 Confirmed Faculty: Larry Abbott, Columbia University Emery Brown, MIT Dmitri Chklovskii, Simons Institute Anne Collins, UC Berkeley Shaul Druckmann, Stanford University Uri Eden, Boston University Bard Ermentrout, U. of Pittsburgh Adrienne Fairhall, U. of Washington Ila Fiete, University of Texas Austin James Fitzgerald, Janelia Res., HHMI Loren Frank, UCSF Michale Fee, MIT Stefano Fusi, Columbia University Surya Ganguli, Stanford University Mark Goldman, UC Davis Kenneth Harris, U. College London James Haxby, Dartmouth University Nancy Kopell, Boston University Eve Marder, Brandeis University Bartlett Mel, Univ. of Southern California Jonathan Pillow, Princeton University David Redish, U. Minnesota Terry Sejnowski, Salk Institute Mike Shadlen, Columbia U. Reza Shadmehr, Johns Hopkins Univ. Sara Solla, Northwestern University Haim Sompolinsky, Hebrew University Klaas Stephan, Univ. of Zurich Josh Tenenbaum, MIT Nao Uchida, Harvard University Greg Wayne, DeepMind Hongkui Zeng, Allen Institute

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Postdoctoral Fellow in Multimodal Brain Imaging of Neurodegeneration
by Yasser Iturria Medina 09 Feb '19

09 Feb '19

*Postdoctoral Fellow in Multimodal Brain Imaging of Amyotrophic Lateral Sclerosis (ALS)* We are looking for a highly motivated postdoctoral student, for joining the *Neuroinformatics for Personalized Medicine* lab (NeuroPM) at the Montreal Neurological Institute (McGill University, Montreal, Canada). The postdoc will be under the supervision of Professors Yasser Iturria-Medina (McGill University) and Sanjay Kalra (University of Alberta), and will be expected to collaborate with multiple associated groups. The project, for one year and potentially extendable for another year, includes the analysis of direct multifactorial brain interactions and intra-brain network spreading of aberrant effects in Amyotrophic Lateral Sclerosis. The NeuroPM lab (*http://www.neuropm-lab.com/ <http://www.neuropm-lab.com/>*) is affiliated with the Healthy brain for Healthy Lives (HBHL) initiative (*https://www.mcgill.ca/hbhl/ <https://www.mcgill.ca/hbhl/>*), the Ludmer Center (*http://ludmercentre.ca/ <http://ludmercentre.ca/>*), and the McConnell Brain Imaging Center ( https://www.mcgill.ca/bic/) involving computationally intensive and interdisciplinary research on the brain. The MNI is an internationally renowned institution, characterized by the integration of research and patient care. The Kalra Lab (http://www.ualberta.ca/ALS/research/) has the mission of improving our understanding of ALS biology through brain imaging and translational research. It is the central coordinating site for the Canadian ALS Neuroimaging Consortium (CALSNIC), a multicenter research platform for the collection of harmonized imaging and behavioural data. Interested candidates should have a background in brain imaging and Matlab. Experience in neurodegeneration and brain computational analysis will be an asset. Interested persons should send their CV, a cover letter stating research interests, and two reference letters. The competition will remain open until the position is filled. *Contact*: Yasser Iturria Medina, Email: iturria.medina(a)gmail.com -- Yasser Iturria Medina, PhD. Montreal Neurological Institute, McGill University Montreal, Canada H3A 2B4, Phone # 514-398-1524 Lab: http://www.neuropm-lab.com/

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PhD positions - Learning in Spiking Neural Networks
by Robert Legenstein 08 Feb '19

08 Feb '19

The Lab of Robert Legenstein at TU Graz is offering funded PhD positions in the areas Spiking Neural Networks/Machine Learning/Brain Models/Neuromorphic Hardware. A background in Machine Learning, Computer Science, or Mathematics is desirable, as well as evidence for excellent prior performance as a student. Successful candidates will work on learning algorithms for spiking neural networks in the interdisciplinary consortium of the EU-funded project SYNCH. We will develop in this project learning algorithms for spiking neural networks (unsupervised, supervised, and reward-based). Hardware experts will implement these algorithms in cooperation with our team in a spiking neural network chip. The chip will be applied to various tasks within a brain-silicon hybrid system such as the classification of recorded brain network states. (see https://www.tugraz.at/institute/igi/people/prof-legenstein/projects/ for a brief description). Please send your application including a CV, any prior thesis and/or work by February 28 to robert.legenstein(a)igi.tugraz.at Dr. Robert Legenstein Institute Head Institute for Theoretical Computer Science Graz University of Technology Inffeldgasse 16b/I, 8010 Graz, Austria http://www.igi.tugraz.at/legi/ Follow @CompLegenstein on Twitter. ++43/316/873-5824 ----------------------------------

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Postdoctoral position in network modeling
by Fidel Santamaria 08 Feb '19

08 Feb '19

Postdoctoral position in network modeling An NIH-funded postdoctoral position is available in the lab of Charles Wilson at the Neurosciences Institute of the University of Texas at San Antonio, on the topic of oscillations and oscillatory coupling in the basal ganglia. The successful applicant will join a team of experimentalists to create a large scale accurate model of the basal ganglia, with a focus on activity pattern formation by oscillating neurons in the globus pallidus, subthalamic nucleus and substantia nigra. Applicants should have an interest in the function of the basal ganglia and experience making and using models of neurons and networks. Experience with intracellular recoding is beneficial, but not required. For information about the lab see: https://marlin.life.utsa.edu/ For information about the UTSA Neurosciences Institute see: https://neuroscience.utsa.edu/ To apply please send your CV, a letter describing your experimental interests and contact information for two potential references to Charles Wilson (charles.wilson(a)utsa.edu<mailto:charles.wilson@utsa.edu>).

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Post-doc position neuropysiology of hearing impairment and machine learning
by Jochem Rieger 08 Feb '19

08 Feb '19

Dear list, The DFG-funded cluster of Excellence "Hearing 4 All" has an open post-doctoral position in project "Characterizing central neural speech processing in normal and hearing impaired listeners using machine learning". The aim of the project is to combine neurophysiological measurements (fMRI and/or MEG/EEG) with data driven machine learning to characterize cortical consequences of hearing loss. We offer an international and interdisciplinary research environment and access to up-to-date research facilities. The position is available from April 1st, 2019 until October 31st, 2022. Salary level German TV-L E13, full time. The payment includes an experience dependent component. Application deadline is February 27th 2019 The full job announcement can be found here: https://uol.de/stellen/?stelle=66447 Please forward this message to people who might be interested Regards, Jochem -- Prof. Dr. rer. nat. Jochem Rieger Head of Applied Neurocognitive Psychology Head of Neuroimaging Unit Faculty VI Carl-von-Ossietzky University 26111 Oldenburg Germany Phone: +49(0)4417984533 Fax: +49(0)4417983865

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Brainhack Warsaw (March 1–3, 2019, Poland)
by Daniel Borek 08 Feb '19

08 Feb '19

Brainhack Warsaw 2019 March 1-3, 2019 University of Warsaw, Warsaw, Poland — REGULAR -> 04.02 - 17.02 -> 120 PLN (ABOUT €29) — — LATE -> 18.02 - 24.02 -> 135 PLN (ABOUT €33) — On the weekend of March 1-3, 2019, the second edition of Brainhack Warsaw will take place. During this three-day event dedicated to students and PhD students, we will work in teams on neuroscience-related projects. The aim of the event is to meet new, enthusiastic researchers, make new friendships in academia, learn, share the knowledge on data mining and brain research, but also promote open science in the spirit of the whole Brainhack community (Craddock et al., 2016) <https://gigascience.biomedcentral.com/articles/10.1186/s13742-016-0121-x>. Attendees of various backgrounds are welcome to join! Below you could see a list of projects which will be realised during our three-day event: - Generating fake MRI to enhance Alzheimer’s disease prediction <https://brainhackwarsaw.github.io/index.html#project2> - Network analysis of the electrical activity of the brain during epileptic seizures <https://brainhackwarsaw.github.io/index.html#project3> - Deep Frankenstein: dissecting and sewing artificial neural networks <https://brainhackwarsaw.github.io/index.html#project4> - Tackling the ABCD Neurocognitive Prediction Challenge <https://brainhackwarsaw.github.io/index.html#project5> - Multidimensionality problem in passive BCI for game control <https://brainhackwarsaw.github.io/index.html#project6> - Cross-Recurrence Quantification Analysis (cRQA) as a new measure of functional connectivity <https://brainhackwarsaw.github.io/index.html#project7> - EMG-based desktop controlling <https://brainhackwarsaw.github.io/index.html#project8> - Mapping the state of modern psychology through the public online activity of scientists <https://brainhackwarsaw.github.io/index.html#project9> ‘Regular’ and ‘Late’ registration for project participants close subsequently on 17.02 and 24.02.2019. A registration fee will be requested after registration. The registration fee will be spent on catering during the event. To register please visit our page and learn more about the Brainhack Warsaw! https://brainhackwarsaw.github.io/ We looking forward to seeing you in Warsaw! On behalf of the Brainhack Warsaw 2019 team

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Computational & Cognitive Neuroscience Summer School 2019
by Christopher Honey 08 Feb '19

08 Feb '19

We are pleased to announce the 9th Computational and Cognitive Neuroscience (CCN) Summer School which will take place June 29 - July 21, 2019 in Suzhou, China. Designed to emphasize higher cognitive functions and their underlying neural circuit mechanisms, the course aims at training talented and highly motivated students and postdoctoral fellows from Asia and around the world. We welcome both applicants with quantitative backgrounds (including Physics, Mathematics, Engineering and Computer Science) and those with experimental backgrounds. The lectures will introduce the basic concepts and methods, as well as cutting-edge research on higher brain functions such as decision-making, attention, learning and memory. Modeling will be taught at multiple levels, ranging from single neuron computation and microcircuits up to large-scale systems and machine-learning approaches. Python-based programming labs coordinated with the lectures will provide practical training in important computational methods. Course information and application instructions are available on the CCN Summer School website: www.ccnss.org Applications are being accepted through the Cold Spring Harbor Asia website: http://www.csh-asia.org/summerschool_SCOSYNEinstruct.html The application deadline is March 8, 2019. Faculty: Carlos Brody (Princeton) Bob Desimone (MIT) Bard Ermentrout (Pitt) Winrich Freiwald (Rockefeller) Biyu He (NYU) Sukbin Lim (NYU) John Murray (Yale) Jascha Sohl-Dickstein (Google Brain) Jon Winawer (NYU) Byron Yu (CMU) Organizers: Dora Angelaki (NYU) Xiao-Jing Wang (NYU) Christopher Honey (Johns Hopkins) Robert Guangyu Yang (Columbia) Feel free to direct any questions to Chris Honey ( chris.honey(a)jhu.edu ) and Robert Guangyu Yang ( robert.yang(a)columbia.edu ).

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