- Comp-neuro - lists.cnsorg.org

Feb 15 Application Deadline - 2018 Nengo Summer School
by Peter Blouw 08 Feb '18

08 Feb '18

[All details about this school can be found online at https://www.nengo.ai/summerschool] The Centre for Theoretical Neuroscience at the University of Waterloo is excited to announce a special version of our annual Nengo summer school that will host the* first public access* to *Braindrop*, a new mixed analog-digital neuromorphic chip developed in collaboration with Stanford and Yale. In addition to introducing Braindrop, this two-week school will teach participants to use the Nengo simulation package to build state-of-the-art cognitive and neural models to run both in simulation and on neuromorphic hardware. Nengo provides users with a versatile and powerful environment for designing cognitive and neural systems, and has been used to build what is currently the world's largest functional brain model, Spaun [1]. Nengo is also being used to program a variety of state-of-the-art neuromorphic chips, including Braindrop! For a look at last year's summer school, check out this short video: https://goo.gl/4tVUkQ We welcome applications from all interested graduate students, research associates, postdocs, professors, and industry professionals with a relevant background. [1] Eliasmith, C., Stewart T. C., Choo X., Bekolay T., DeWolf T., Tang Y., Rasmussen, D. (2012). A large-scale model of the functioning brain. Science. Vol. 338 no. 6111 pp. 1202-1205. DOI: 10.1126/science.1225266. [ http://compneuro.uwaterloo.ca/files/publications/eliasmith.2012.pdf] Application Deadline: February 15, 2018 *Format*: A combination of tutorials and project-based work. Participants are encouraged to bring their own ideas for projects, which may focus on testing hypotheses, modeling neural or cognitive data, implementing specific behavioural functions with neurons, expanding past models, or providing a proof-of-concept of various neural mechanisms. Hands-on tutorials, work on individual or group projects, and talks from invited faculty members will make up the bulk of day-to-day activities. A project demonstration event will be held on the last day of the school, with prizes for strong projects! Participants will have the opportunity to learn how to: - interface Nengo with various kinds of neuromorphic hardware - build perceptual, motor, and cognitive models using spiking neurons - model anatomical, electrophysiological, cognitive, and behavioural data - use a variety of single cell models within a large-scale model - integrate machine learning methods into biologically oriented models - interface Nengo with cameras and robotic systems - implement modern nonlinear control methods in neural models - and much more... *Date and Location:* June 3th to June 15th, 2018 at the University of Waterloo, Ontario, Canada. *Applications*: Please visit http://www.nengo.ai/summerschool, where you can find more information regarding costs, travel, lodging, along with an application form listing required materials. If you have any questions about the school or the application process, please contact Peter Blouw (peter.blouw(a)appliedbrainresearch.com) We look forward to hearing from you!

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Open Postdoctoral Position in Object Detection
by Frederic Jurie 08 Feb '18

08 Feb '18

Open Postdoctoral Position in Object Detection Context: The DRAAF project is supported by an interdisciplinary consortium of two French public research labs (INRIA-WILLOW, Paris and GREYC, Caen), as well as a French SME (EVITECH, Paris) which is also the project leader. The overall objective of the project is to develop a framework for the detection of weapons (guns, etc.) in videos, to address automatic surveillance tasks. It’s a challenging topic as the targeted objects are small, partially occluded and might have very different shapes/aspects. The postdoctoral researcher will join the research laboratory GREYC in Caen Normandy (France) to work on the design of original object detectors in videos. GREYC has strong backgrounds in computer science, signal/image processing,applied mathematics, artificial intelligence, and regularly publish in the top-tier vision conferences and journals. Required competences: The postdoctoral researcher will have excellent analytical skills, curious, and creative, and have an interest in performing cutting edge applied research in a very active area (object detection). He/She should have a strong academic record with solid background in computer science or engineering, and a solid experience in Computer vision and Machine Learning. Good programming skills are expected, preferably in Python/Tensorflow, as well as skills for turning complex concepts into real-world practice. Any experience in object detection will be a plus. The candidate should have an independent and efficient working attitude and should be fluent in spoken/written English. Contract terms: Location: GREYC (CNRS UMR6072), Normandy Univ. (France) Start: June 2018 (Tentative) Duration: one year, extension possible. The appointment is full time. Net salary: up to about 2800 euros/month depending on experience and achievements in the domain. Living conditions in Normandy are considered among the best in Europe https://www.normandie.fr Applicants should submit their applications, as well as the name of 3 referees, to frederic.jurie(a)unicaen.fr.

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Call for a computer scientist (or related, with machine learning experience) interested in brain function.
by Agustin Petroni 07 Feb '18

07 Feb '18

---------- Forwarded message ---------- From: Diego A. Laplagne <diego(a)neuro.ufrn.br> Date: Wed, Feb 7, 2018 at 3:09 PM Amigos, Still looking for candidates. If you can think of some lists where this was not distributed could you please send it? Thanks! Diego ***************** Rereading the mind. Unbiased discovery of neural correlates of behavior We are looking for an outstanding and highly motivated candidate with solid background in machine learning and interested in brain function. We aim to discover new ways in which brain activity generates behavior. We will depart from traditional approaches in neuroscience in two ways: studying natural spontaneous behavior—as opposed to guided and restricted—and analyzing brain signals with a naive unbiased approach. Our group is leader in automatic quantitative monitoring of spontaneous rat behavior and brain activity. We want you to join our team if you a) find the prospect of developing new approaches to reading minds fascinating; b) have a strong background in modern machine learning methods and c) are willing to spend time with us in Natal, Brazil, where our lab is located. Neither a background in neuroscience nor previous experience in research in academic institutions is strictly required. The position is flexible, such that candidates could plan their research with us as a postdoctoral stay, part of a thesis or freelance. Our project is supported by the prestigious Serrapilheira award. One year of funding is guaranteed, starting early 2018, and chances for extension of stipends is strong following good performance of the candidate. If interested, please write in English, Spanish or Portuguese to diego(a)neuro.ufrn.br with subject “People search 2018”, including a CV. There is no deadline, but selection will close when we find our person! Diego A. Laplagne, Ph.D. Group leader, Behavioral Neurophysiology Lab – Brain Institute, UFRN. http://www.neuro.ufrn.br *****************

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2018 NICE Workshop Agenda and Registrations
by Aimone, James Bradley 07 Feb '18

07 Feb '18

Registrations and agenda are available for the 2018 Neural Inspired Computing Elements (NICE) Workshop on February 27-March 1 in Hillsboro, OR at Intel's Campus. There will be a wide range of invited and accepted abstract presentations at the NICE 2018 conference that will focus on aspects of neuroscience, theories, algorithms for neuromorphic systems that support the overarching workshop theme of new computing methods and new applications. In addition, three new neuromorphic chip architectures - the BrainScaleS-2 chip, the SpiNNaker-2 chip, and the Intel Loihi research chip - will be revealed with demos. Information can be found at: http://niceworkshop.org/2018-nice-workshop/ -------------------------- James Bradley Aimone, Ph.D. Principal Member of Technical Staff Data-driven and Neural Computing Department Center for Computing Research Sandia National Laboratories Phone: (505) 284-3147 Fax: (505) 844-4728 http://neuroscience.sandia.gov

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The Neuron School - Basic Computational Neuroscience in Alghero - ITALY
by Sergio Solinas 07 Feb '18

07 Feb '18

**Apologies for cross-posting** [All details about this school can be found online at The NEURON School Initiative <http://neuronschool.uniss.it/>] The Department of Biomedical Sciences at the University of Sassari is is excited to announce the first edition of The NEURON School on Computational Neuroscience. This *one-week* school will introduce to the use of the simulation environment NEURON and related software to build brain models from experiments to their applications. - The school will provide basic notions on experimental methods to extract and process morphological and electrophysiological data targeting their use to build computational models of single neurons and neuronal networks. - The school will cover how these models can be constructed based on the principles of biological tissue growth in simulations. - The students will also be introduced to recent *in silico* applications of neuronal networks and neuromorphic hardware. We welcome applications from all interested full graduate, PhD students, and PostDocs in a variety of fields from biology, neurobiology and psychology, to physics, engineering, and mathematics, and industry professionals with a relevant background. Applicants are expected to have a good background in their discipline, interest in neuroscience, and some knowledge (even basic) of computer programming. For a quick look at the summer school description, check out this flyer <http://neuronschool.uniss.it/School_Flyer.pdf>. *Format*: Morning tutorials will be complemented with Afternoon coding sessions and Evening discussions promoted by presentations of Senior Scientists. *Date and Location:* April 16th to April 21st, 2018 at the PortoConte Research Center <http://www.portocontericerche.it/en> within the Science and Technology Park of Sardinia and at the Hotel Catalunya <http://www.hotelcatalunya.it/en/>, Alghero - Sardinia (ITALY). Application Deadline: 1st April 2018 *Applications*: Please visit *http://neuronschool.uniss.it/ <http://neuronschool.uniss.it/>*, where you can find more information regarding costs, travel, and lodging. If you have any questions about the school or the application process, please contact enrico(a)uniss.it We look forward to your registration and to welcoming you in Alghero!

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Call for papers & tutorials: PRNI (Pattern Recognition in Neuroimaging) 2018
by Yuvaraj Rajamanickam (Dr) 07 Feb '18

07 Feb '18

****** please accept our apologies for cross-posting ******* -------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- FIRST CALL FOR PAPERS AND TUTORIALS PRNI 2018: 8th International Workshop on Pattern Recognition in Neuroimaging to be held 12-14 June 2018 at the National University of Singapore, Singapore www.prni.org<http://www.prni.org/> - @PRNIworkshop - www.facebook.com/PRNIworkshop/<http://www.facebook.com/PRNIworkshop/> ---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- The 8th International Workshop on Pattern Recognition in Neuroimaging (PRNI) will be held at the Centre for Life Sciences Auditorium, National University of Singapore, Singapore on June 12-14, 2018.Pattern recognition techniques are an important tool for neuroimaging data analysis. These techniques are helping to elucidate normal and abnormal brain function, cognition and perception, anatomical and functional brain architecture, biomarkers for diagnosis and personalized medicine, and as a scientific tool to decipher neural mechanisms underlying human cognition. The International Workshop on Pattern Recognition in Neuroimaging (PRNI) aims to: (1) foster dialogue between developers and users of cutting-edge analysis techniques in order to find matches between analysis techniques and neuroscientific questions; (2) showcase recent methodological advances in pattern recognition algorithms for neuroimaging analysis; and (3) identify challenging neuroscientific questions in need of new analysis approaches. Authors should prepare full papers with a maximum length of 4 pages (two column IEEE style) for double-blind review. The manuscript submission deadline is 04 April 2018, 11:59 pm SGT. Accepted manuscripts will be assigned either to an oral or poster sessions; all accepted manuscripts will be included in the workshop proceedings. Similarly to previous years, in addition to full length papers PRNI will also accept short abstracts (500 words excluding the title, abstract, tables, figure and data legends, and references) for poster presentation. Finally, this year PRNI has an open call for tutorial proposals. A tutorial can take a form of 2h, 4h or whole day event aimed at demonstrating a computational technique, software tool, or specific concept. Tutorial proposals featuring hands on demonstrations and promoting diversity (e.g. gender, background, institution) will be preferred. PRNI will cover conference registration fees for up to two tutors per accepted program. The submission deadline is also 04 April 2018, 11:59 pm SGT. Please see www.prni.org<http://www.prni.org/> and follow @PRNIworkshop and www.facebook.com/PRNIworkshop/<http://www.facebook.com/PRNIworkshop/> for news and details. ________________________________ CONFIDENTIALITY: This email is intended solely for the person(s) named and may be confidential and/or privileged. If you are not the intended recipient, please delete it, notify us and do not copy, use, or disclose its contents. Towards a sustainable earth: Print only when necessary. Thank you.

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Call for Abstracts: International Conference on Complex Systems
by Yaneer Bar-Yam 07 Feb '18

07 Feb '18

Please distribute to colleagues and students ********************************************************************** Call for Abstracts Ninth International Conference on Complex Systems (ICCS 2018) Host: New England Complex Systems Institute July 22 - 27, 2018 Hyatt Regency Cambridge, MA, USA ********************************************************************** To register: http://www.necsi.edu/events/iccs2018/ The International Conference on Complex Systems is a unique interdisciplinary forum that unifies and bridges the traditional domains of science and a multitude of real world systems. Participants will contribute and be exposed to mind expanding concepts and methods from across the diverse field of complex systems science. Special Topic - Artificial Intelligence: This year’s conference will include a day on AI, including its development and potential future. This session will be chaired by Iyad Rahwan of MIT's Media Lab. ABSTRACT SUBMISSION AND PROCEEDINGS PUBLICATION: For presentation at the conference, authors should submit an abstract through EasyChair. All the accepted abstracts will be published in the online proceedings on the conference website. Authors of accepted abstracts may submit full papers for inclusion in the online proceedings. Full paper submission is optional. Make sure to register for the conference on our website in addition to submitting to EasyChair. IMPORTANT DATES AND DEADLINES Workshop proposal: February 16, 2018 Abstract submission: February 16, 2018 Notification to authors: March 30, 2018 Early registration: April 13, 2018 Camera-ready abstract & full paper submission: May 4, 2018 (full paper submission is optional) Late abstract submission: June 1, 2018 Conference: July 22-27, 2018 ICCS TOPICS: UNIFYING THEMES IN COMPLEX SYSTEMS Sessions will be structured around both themes and systems. The themes are: • Emergence: The relationship between components and collective properties and behaviors; the relationship of internal structure to external influence; multiscale structure and dynamics; self-similarity and fractals. • Complexity & Information: Defining and measuring complexity; characterizing the information necessary to describe complex systems; structuring, storing, accessing, distributing, visualizing and analyzing information describing complex systems; the dynamics of information and its computational characterization. • Dynamics & Self-Organization: Time series analysis and prediction; nonlinear dynamics and chaos; temporal correlations; the time scale of dynamic processes; spatio-temporal patterns; dynamic scaling; pattern formation; evolution, development and adaptation; interaction between internal dynamics and external inputs; programmability of self-organization. • Structures & Networks: Complex network topologies; multilayer and multiplex networks; dynamical networks; adaptive networks; temporal networks; network modeling and analysis; small-world and scale-free networks; connectivity and centrality; motifs, cliques and communities, modularity, degeneracy, redundancy, and substructure; network visualization. • Methodology: Computer simulation; agent-based modeling; data-driven research; machine learning; artificial intelligence; analytical methods; nonlinear statistics; soft computing; methods and tools for complex systems education. The system categories are: • Mathematical, Physical & Chemical Systems: Non-equilibrium processes; hydrodynamics; glasses; nonlinear chemical dynamics; complex fluids; molecular self-organization; information and computation in quantum and classical physical systems; supramolecular chemistry; spatio-temporal patterns in physical systems from subatomic to astrophysical. • Bio-Molecular & Cellular Systems: Systems biology; protein and DNA folding; bio-molecular informatics; membranes; cellular response and communication; genetic regulation; gene cytoplasm interactions; development; cellular differentiation; primitive multicellular organisms; the immune system; origins of life; biological networks in human health: protein-protein interaction, metabolic and gene regulatory networks; Systems pharmacology. • Physiological & Psychological Systems: Nervous system; sensorimotor systems; computational models of neural and cognitive function; perception, cognition, memory and action; psychological dysfunction; pattern recognition; learning and development; human machine interaction; autonomous mental development; neurocognitive networks. • Organisms & Populations: Population biology; collective behavior of animals; ecosystems; ecology; ecological networks; microbiome; speciation; evolution. • Human Social & Economic Systems: Social networks; socio-technical systems; computational social science; collective intelligence; corporate and social structures and dynamics; organizational behavior and management; urban development; city science; economies and markets; financial systems; risk management; globalization; military systems; global conflicts; social unrest; political networks; interactions between human and natural systems. • Engineered Systems: Design and manufacturing; nano-technology; bioengineering; modified and hybrid biological organisms; computer based interactive systems; multi-agent systems; artificial life; artificial intelligence; robots; communication networks; the Internet; traffic systems; distributed control; resilience; self organizing artifacts; complex systems engineering; biologically inspired engineering; synthetic biology; sensor networks. WORKSHOPS There will be several time slots available during the conference for organizing workshops on specific topics. All the accepted abstracts/papers for the workshops will be included in the conference proceedings as well. If you are interested in organizing a workshop, email the following information to programs(a)necsi.edu by January 19, 2018: • Name(s) and contact information of the workshop organizer(s) • Title of the workshop • A short description of the workshop: (aim, scope, target audience, format and expected outcome) • A list of confirmed and prospective speakers INVITED SPEAKERS Albert-László Barabási (Northeastern University, USA) Cameron Kerry (MIT Media Lab, USA) Nassim Nicholas Taleb (Real World Risk Institute, USA) Stuart Kauffman (Institute for Systems Biology, USA) Peter Turchin (University of Connecticut, USA) Olaf Sporns (Indiana University Network Science Institute, USA) Iyad Rahwan (MIT Media Lab, USA) Sandy Pentland (MIT Media Lab, USA) Irving Epstein (Brandeis University, USA) Simon DeDeo (Carnegie Mellon University, USA) H. Eugene Stanley (Boston University, USA) Stephen Wolfram (Wolfram Research) César Hidalgo (MIT Media Lab, USA) ORGANIZATION Executive Committee Conference Chair Emeritus: Yaneer Bar-Yam (New England Complex Systems Institute, USA) General Chair: Ali A. Minai (University of Cincinnati, USA) Program Chair: Dan Braha (University of Massachusetts at Dartmouth, USA) Alfredo J. Morales (New England Complex Systems Institute, USA) Carlos Gershenson (National Autonomous University of Mexico, Mexico) Special Sessions Chair: Marc Santolini (Northeastern University, USA) Emma Towlson (Northeastern University, USA) Sponsors Chair: Kim Severino (New England Complex Systems Institute, USA) Logistics Chair: Sageet Braha (New England Complex Systems Institute, USA) Elisabeth Perry-Montgomery (New England Complex Systems Institute, USA) Program Committee PC members TBA LOCATION AND ACCOMMODATIONS The conference will be held at the Hyatt Regency in Cambridge, Massachusetts, minutes from Boston. Reservations can be made directly with Hyatt reservations at 1-888-421-1442, or online at: https://aws.passkey.com/go/NECSI A block of rooms has been reserved at a conference discount rate starting at $259 + tax per night. Internet access is included. These rooms are available on a first-come, first-served basis. To receive the discount rate identify yourself as a member of ICCS 2018. These rates are available until June 29th, 2018. Cancellations may be made up to 48 hours in advance without penalty. FOR MORE INFORMATION Conference website: necsi.edu/events/iccs2018/ Contact us at programs(a)necsi.edu New England Complex Systems Institute 277 Broadway Cambridge, MA 02139 Phone: 617-547-4100 Fax: 617-661-7711 necsi.edu

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Open position: Coordinator Scientific Computing at Research Center Juelich, Germany
by Martina Reske 06 Feb '18

06 Feb '18

Dear Comp-Neuro community The Institute of Neuroscience and Medicine (INM) investigates the structure and function of the human brain on different spatial and temporal scales within the research program “Decoding the Human Brain”. The brain’s high complexity and plasticity over the lifespan of an individual, as well as changes during neuropsychiatric disorders, requires the use of innovative imaging methods and supercomputing technology. Basic neuroscience research heavily relies on modeling and simulation, which are necessary to approach the brain’s immense complexity, manage the huge amount of resulting data, and develop reliable control techniques. Acquired knowledge allows for the translation of basic findings into clinical applications to better understand neurological and psychiatric disorders, to refine diagnostic processes, and to develop therapy strategies – crucial tasks we have to face in ageing societies. The department INM-6, Computational and Systems Neuroscience, develops mathematical models of neuronal dynamics and function. We are active in neuromorphic computing and develop simulation technologies and analysis tools. We are looking to recruit a Coordinator Scientific Computing Your Job: * Design and continuous advancement of a roadmap for scientific computing with regard to hard- and software * Designing a cloud infrastructure and digitized workflows in theoretical neuroscience * Studying international developments in hard- and software in the fields of simulation and data science in neuroscience * Planning, purchasing, set-up and management of UNIX, Linux, Mac OS and Windows systems, communication systems and software * Support of institute’s databases and online tools (webdav, git, wordpress, website); user management * Further development of simulation and analysis codes with regard to system near aspects * Measurement of energy-to-solution and time-to-solution of simulations and analysis codes for scientific studies * Direct support of scientists * Participation in working group leaders’ meeting * Participation in relevant IT committees at Forschungszentrum Juelich * Participation in educating staff in HPC aspects Your Profile: * Completed study of informatics, mathematics or physics * Substantial expertise in C, C++ and Python * Substantial knowledge of UNIX, Windows and Mac OS * Experience with administration of HPC clusters, file, web and print servers as well as with parallel computing (ideally in neuroscience) * Beneficial: Basic knowledge of neuroscience concepts * Ability and willingness to work independently and proactively * Confident appearance and ability to work cooperatively in an interdisciplinary environment * Good interpersonal and communication skills * Structured and systematic working style * Fluent in English (spoken and written) Our Offer: * International, interdisciplinary working environment on an attractive research campus, ideally situated between the cities of Cologne, Düsseldorf, and Aachen * A comprehensive further training Programme * Flexible working hours and various opportunities to reconcile work and family life * Limited for 2 years with possible longer-term prospects * Salary and social benefits in conformity with the provisions of the Collective Agreement for the Civil Service (TVöD) Forschungszentrum Jülich aims to employ more women in this area and therefore particulary welcomes applications from women. We also welcome applications from disabled persons. We look forward to receiving your application, preferably online<https://www.hrecruiting.de/obf2/bewerbermanagement.php?kunden_nr=t5ChjatkIf…> via our online recruitment system on our career site, quoting the reference number 2017-321. Contact Human Resource Development and Recruiting Kristin Lux Tel.:+49 2461 61 9700 -- 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<http://www.csn.fz-juelich.de> ------------------------------------------------------------------------------------------------ ------------------------------------------------------------------------------------------------ Forschungszentrum Juelich GmbH 52425 Juelich Sitz der Gesellschaft: Juelich Eingetragen im Handelsregister des Amtsgerichts Dueren Nr. HR B 3498 Vorsitzender des Aufsichtsrats: MinDir Dr. Karl Eugen Huthmacher Geschaeftsfuehrung: Prof. Dr.-Ing. Wolfgang Marquardt (Vorsitzender), Karsten Beneke (stellv. Vorsitzender), Prof. Dr.-Ing. Harald Bolt, Prof. Dr. Sebastian M. Schmidt ------------------------------------------------------------------------------------------------ ------------------------------------------------------------------------------------------------

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Human Brain Project Innovation Forum and Exhibition, March 22-23rd London
by Tony Prescott 06 Feb '18

06 Feb '18

Dear Colleague, I am writing to you as a co-organiser of an Innovation Forum <https://www.humanbrainproject.eu/en/follow-hbp/events/first-annual-hbp-inno…> for the Human Brain Project happening in London on 22nd/23rd March 2018. The goal of the event is to help identify potential paths to impact for neuroscience research, and, more broadly, to show that reverse-engineering the brain, through computational modelling, can help us create new AI technologies and identify new treatments for neurological disorders. For the Innovation Exhibition <https://hbpinnovationexpo.org/>, which will take place at the London Science Museum on Friday 23rd, there are a *limited number of exhibit spaces available* for companies or research groups innovating around brain research. No previous link to the Human Brain Project is required. This is a great opportunity to showcase your research or technology in front of a wide audience including leaders in academia, commerce, and government. Exhibit space is paid for by HBP and exhibitors also receive free registration for upto three people for the Friday event. If you are interested in this opportunity please contact me by email at t.j.prescott(a)sheffield.ac.uk, as soon as possible. Registration <https://onlineshop.shef.ac.uk/conferences-events/faculty-of-engineering/com…> for the two day event is now open with free entry to the exhibition on the Friday afternoon. I hope to see you in London! Best wishes, Tony Prescott Professor of Cognitive Robotics University of Sheffield Co-organiser, HBP Innovation Exhibition P.S. I would be grateful if you could copy this email to any interested colleagues in your organisation.

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PhD position at the University of Leeds
by Yannis Delis 05 Feb '18

05 Feb '18

PhD Position: Computational approaches to the neural control of movement We are seeking UK/EU candidates for a fully funded PhD position at the School of Biomedical Sciences of the University of Leeds. The successful candidate will work with Dr. Ioannis Delis and will have the opportunity to interact and collaborate with other members of the Motor Control group. The ideal candidate will have an interest in some of the following areas: Recording and analysis of EMG, EEG and kinematic signals, design of complex behavioral experiments/tasks, biomedical signal processing, machine learning, statistical pattern recognition, cognitive modeling. No extensive previous experience in the above is required. However, a strong propensity for interdisciplinary research and a keen interest in understanding how the brain controls movement as well as extensive programming experience (Matlab and/or Python) is highly desirable. Interested candidates are invited to contact Dr. Ioannis Delis (*i.delis(a)leeds.ac.uk <i.delis(a)leeds.ac.uk>*) emailing their CV and briefly explaining their interest in this position. Starting date is flexible (September 2018 would be preferred). Project description: The aim of this project is to develop a mathematical analysis framework to a) analyze neurophysiological (EMG/EEG) and behavioural signals (kinematics/accuracy/response time) and b) model sensory-motor behavior in order to understand how the human brain and spinal cord interact with the musculoskeletal system to generate movement. The post holder will have the opportunity to a) develop new advanced methods based on machine learning, signal processing and information theory, b) design and perform behavioural experiments with human subjects and c) analyze experimental data in collaboration with experimental neuroscience laboratories.

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Re: [Comp-neuro] Systems Neuroscience: a study abroad summer program in Budapest
by Érdi Péter 04 Feb '18

04 Feb '18

Our Dear Colleagues: BSCS-US announces a study abroad program in Budapest: Systems Neuroscience: a study abroad summer program Program start/end dates June 11th - Aug 3th, 2018 The BSCS Systems Neuroscience Program takes place at and academically supervised by the Department of Anatomy, Histology and Embryology, Semmelweis University Medical School, Budapest. Transcript is issued by the Registrar of the Semmelweis University Medical School, and will be sent directly to the Registrar of your college/university. For details, see: http://sysneuro-semester.org/ [sysneuro-semester.org] Inquiry: Program directors / academic supervisors Péter Érdi perdi(a)kzoo.edu László Négyessy <negyessy(a)gmail.com> John Milton <JMilton(a)kecksci.claremont.edu> Office: bscs(a)bscs-us.org With kind regards, Péter Érdi http://people.kzoo.edu/~perdi/ aboutranking.com

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Postdoctoral Position in Electrocorticography at NYU
by Lucia Melloni 04 Feb '18

04 Feb '18

Dear All, We have an opening for a POSTDOCTORAL POSITION IN ELECTROCORTICOGRAPHY RESEARCH AT NYU. See below for details. Thanks and all the best, Lucia POSTDOCTORAL POSITION IN ELECTROCORTICOGRAPHY RESEARCH AT NYU NYU School of Medicine has an opening for a Postdoctoral Researcher to conduct Human intracranial EEG and electrocortigoraphy (ECoG) research. The postdoctoral researcher will work with the clinical neurology team to conduct neurophysiological research in surgical patients undergoing treatment for refractory epilepsy implanted with intracranial electrodes (surface, depth). Research approaches will include both recording and stimulation. The postdoctoral fellow will be a member of a collaborative team that includes Lucia Melloni (NYU and Max Planck Institute, Frankfurt), Adeen Flinker (NYU), Charan Ranganath (UC Davis), Sam Gershman (Harvard), Ken Norman & Uri Hasson (Princeton), and Jeff Zacks (Washington University). The goal of the research studies will be to use real-time measures of brain activity to investigate how cortico-hippocampal interactions support event segmentation, schema formation, and memory for complex events. The ideal applicant must have a Ph.D. in neuroscience, psychology, biomedical engineering, or a related field. Proficiency in oral and written English is mandatory. A solid background in programming, statistics, and scientific writing is required. The candidate is expected to be able to work independently, to enjoy interacting within an interdisciplinary team, and to have a track-record of peer-reviewed publications. Previous experience with human electrophysiology or machine learning will be an asset. Start date is negotiable. Interested individuals should send an email to lucia.melloni(a)nyumc.org <mailto:lucia.melloni@nyumc.org>, including a cover letter describing research experience and qualifications, an academic CV, and contact information of referees.

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Postdoc/programmer position in reaction-diffusion modeling
by Erik De Schutter 02 Feb '18

02 Feb '18

The Computational Neuroscience unit (https://groups.oist.jp/cnu) at the Okinawa Institute of Science and Technology, Japan has an opening for a postdoctoral researcher or technician in software development and computational modeling of stochastic neuronal reaction-diffusion processes. Initial duration is two years with an option to extend. The hired postdoctoral researcher or technician is expected to make valuable contributions to the STEPS project (http://steps.sourceforge.net) in two ways: 1) by researching molecular neuronal processes and designing novel techniques and routines for accurate computational modeling of such systems, and 2) contributing to realistic applications of the new techniques in biological modeling studies. In performing these tasks, the candidate is expected to contribute to publications that are either based on theory and computational techniques, or geared more towards answering real biological questions through computational modeling. As such the ideal candidate will have a scientific background but also possess good programming skills. There will be many opportunities to interact with other STEPS developers in our lab and also other researchers working on related cerebellar projects, and also to collaborate on STEPS development with the Blue Brain Project, EPFL, Geneva. Competences: For the postdoctoral position a recent PhD is required in a relevant discipline such as neuroscience, molecular biology, biophysics or biochemistry, and for a technician a masters degree is required in a similar discipline or computer science. For either position, we require a talented programmer with experience in C++ and Python. It is preferred that the candidate has some experience of modeling neuronal or other biological processes computationally, but this is not essential if the candidate has a strong enough interest in moving into the field. Fluent English conversation and writing skills are required. Benefits / Offer: A competitive salary and relocation package are offered. This an ideal position to gain experience in a prominent computational neuroscience lab. Contributions of technicians are honored by authorship on relevant publications. Please contact Prof. Erik De Schutter (erik(a)oist.jp) for inquiries.

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Special Issue on Crossmodal Learning - Extended Deadline
by Pablo Barros 01 Feb '18

01 Feb '18

3rd CALL FOR PAPERS (Deadline Extension) Special Issue on Computational Models for Crossmodal Learning of the Cognitive Systems Research Journal. https://www.journals.elsevier.com/cognitive-systems-research/call-for-paper… I. Aim and Scope The ability of processing crossmodal information is a fundamental feature of the brain that provides a robust perceptual experience for an efficient interaction with the environment. Consequently, the integration of multisensory information plays a crucial role in autonomous systems to create robust and meaningful representations of objects and events. For dealing with real-world information, an autonomous, intelligent system must be capable of processing, integrating, and segregating different modalities for the purpose of coherent perception, decision-making, and cognitive learning. Recent neurophysiological findings in crossmodal learning have inspired novel computational models with the aim to trigger biologically inspired behavioral responses. A rich set of neural mechanisms support the integration and segregation of multimodal stimuli, providing the means to efficiently solve conflicts across modalities. This special issue aims to invite contributors from psychology, computational neuroscience, artificial intelligence, and cognitive robotics to discuss current research on crossmodal learning mechanisms both from the theoretical and modelling perspective. II. Potential Topics Topics include, but are not limited to: - New theories and findings on crossmodal processing - New neuroscientific results on crossmodal learning - Machine learning and neural networks for learning multisensory representations - Computational models of crossmodal attention and perception - Brain-inspired approaches for multisensory integration - Multisensory robot perception III. Submission Authors must use the Evise system to submit their contibutions, more informations can be found here: https://www.journals.elsevier.com/cognitive-systems-research/ *All manuscripts must be submitted to the Special Issue "VSI: Crossmodal Learning"* - Paper submission deadline: 19.03.2018 IV. Guest Editors Pablo Barros, University of Hamburg, Germany German I. Parisi, University of Hamburg, Germany Doreen Jirak, Hamburg University, Germany Bruno Fernandes, Universidade de Pernambuco, Brazil -- Dr.rer.nat. Pablo Barros Postdoctoral Research Associate - Crossmodal Learning Project (CML) Knowledge Technology Department of Informatics University of Hamburg Vogt-Koelln-Str. 30 22527 Hamburg, Germany Phone: +49 40 42883 2535 Fax: +49 40 42883 2515 barros at informatik.uni-hamburg.de https://www.inf.uni-hamburg.de/en/inst/ab/wtm/people/barros.html https://www.inf.uni-hamburg.de/en/inst/ab/wtm/

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Final Program of the Columbia Workshop on Brain Circuits, Memory and Computation, March 15-16, 2018
by Aurel A. Lazar 30 Jan '18

30 Jan '18

http://fruitflybrain.org/workshops.html <https://t.co/mY9aARlYrB> Aurel http://www.bionet.ee.columbia.edu

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Complex Systems in Neuroscience Conference, Pittsburgh, March 8-10, 2018
by Chengcheng Huang 30 Jan '18

30 Jan '18

Dear Colleague, We are pleased to invite you to: *Complex Systems in Neuroscience: Bridging Theory and Experiment* Pittsburgh, USA March 8-10, 2018 This conference is organized by post-doctoral scholars from the Department of Mathematics at the University of Pittsburgh. In this three-day conference, we will bring together theorists and experimentalists from numerous disciplines who seek to understand how properties of neural networks and individual neurons translate into brain function and behavior. In order to encourage interaction and discussion, the conference will involve a series of lectures from renowned scientists, as well as shorter presentations by junior researchers. *Speakers:* Andrea Barreiro (Southern Methodist University) Maxim Bazhenov (University of California San Diego) Paul Bressloff (University of Utah) Nicolas Brunel (Duke University) Carina Curto (Pennsylvania State University) Stefano Fusi (Columbia University) Mark Goldman (University of California Davis) Viktor Jirsa (CNRS, France) Stephanie Jones (Brown University) Juan Restrepo (University of Colorado Boulder) Tatyana Sharpee (Salk Institute) Misha Tsodyks (Weizmann Institute, Israel) The lectures will be held in Ballroom A of the University Club, 123 University Pl, Pittsburgh, PA, 15260 <https://maps.google.com/?q=123+University+Pl,+Pittsburgh,+PA,+15260&entry=g…> . Attendance is free and open to all, however, all attendees are required to register <http://www.pitt.edu/~huangc/csneuro2018/> online. For further information, please visit the conference website: http://www.pitt.edu/~huangc/csneuro2018/. This event is sponsored jointly by the Mathematics Research Center at the University of Pittsburgh, the Center for the Neural Basis of Cognition, and the Institute for Mathematics and its Applications. Sincerely, Drs. Hannah Bos, James Hengenius, Chengcheng Huang, Ryan Phillips, Yury Sokolov, Rashid Williams-Garcia and Dan Wilson Conference Organizers Department of Mathematics University of Pittsburgh

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NIMH is Recruiting a Review Branch Chief
by Michele Ferrante 30 Jan '18

30 Jan '18

*Please feel free to share with folks who might have interest.* *NIMH is Recruiting a Review Branch Chief* The NIMH Division of Extramural Activities (DEA) is recruiting for the Chief, Extramural Review Branch, DEA. This position is a Supervisory Health Scientist Administrator, GS-601-15. As with many other ICs, NIMH will seek to fill this position via the Global Announcement, which opened yesterday (1/29/2018) and closes on Wednesday, 2/7/2018. USAJOBS announcement - open to FEDERAL staff <https://www.usajobs.gov/GetJob/ViewDetails/489593400> USAJOBS announcement, open to all <https://www.usajobs.gov/GetJob/ViewDetails/489599300> The Extramural Review Branch is responsible for planning, conducting and coordinating the scientific and technical merit review of grant applications assigned to the Institute for its review and for assuring that these reviews are of a uniformly high quality. As an expert Scientific Review Officer, the Branch Chief assumes responsibility for administering the review of applications. Utilizing scientific knowledge and expertise to perform a variety of management functions associated with review of NIMH research and research training support activities, the Branch Chief will also manage the initial scientific and administrative review of certain center or program project grant applications, as well as research project applications submitted in response to requests for applications, multicenter clinical trial applications, and/or contract proposals assigned to NIMH. Specific supervisory responsibilities include integrating and coordinating the work of professional employees who serve as Scientific Review Officers (SROs) who are charged with overseeing the work of Special Emphasis Panels and the Mental Health Services Research Committee, Program Specialists who provide organizational support for planning and analyzing review activities, and Extramural Support Assistants (ESAs) charged with providing logistical and administrative support to SROs. Please contact Meena Hiremath (meenaxi.hiremath(a)nih.gov) if you have any questions about the Branch Chief position. If you have additional questions, please email NIMHSearch(a)mail.nih.gov. Regards, Michele ----- Michele Ferrante <michele.ferrante(a)nih.gov>, PhD Theoretical and Computational Neuroscience <http://www.nimh.nih.gov/about/organization/dnbbs/behavioral-science-and-int…> & Computational Psychiatry <https://www.nimh.nih.gov/about/organization/dtr/adult-psychopathology-and-p…> NIMH Ph. 301-435-6782 <(301)%20435-6782> | WebEx <https://nih.webex.com/join/ferrantemnih.gov> | 6001 Executive Blvd, Rockville, MD 20852, Office # 7202

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NIMH Program Officer Position Announcement
by Michele Ferrante 30 Jan '18

30 Jan '18

Dear computationally-friendly colleagues, You are our strongest referral source. I am sharing with you the announcement for NIH Program Officer and ask that you share this with your colleagues that may be interested in serving as an extramural program officer (also known as Health Scientist Administrator). The NIH Global Vacancy Announcement for Health Scientist Administrator/Program Officer is now open to the public. NIMH is looking for Program Officers to fill several critical program in the NIMH extramural programs. To be considered for this position, applicants must possess an M.D., Ph.D., or equivalent experience. The links below will take interested candidates to the USAJobs link. Applications will be accepted from *January 29, 2018 - February 7, 2018* through the links below. Please share this information with those who may be interested in applying. If you have additional questions, please email NIMHsearch(a)mail.nih.gov. ************************************ *Health Scientist Administrator (Program Officer) Links*:* - Health Scientist Administrator (Program Officer) GS-601-12/13/14 - DE <https://www.usajobs.gov/GetJob/ViewDetails/489598400> - Health Scientist Administrator (Program Officer) GS-601-12/13/14 - MP <https://www.usajobs.gov/GetJob/ViewDetails/489591800> - Health Scientist Administrator (Program Officer) GS-601-15 – DE <https://www.usajobs.gov/GetJob/ViewDetails/489597400> - *Health Scientist Administrator (Program Officer) GS-601-15 – MP <https://www.usajobs.gov/GetJob/ViewDetails/489597400>* - Supervisory Health Scientist Administrator (Program Officer) GS-601-15 - DE <https://www.usajobs.gov/GetJob/ViewDetails/489595200> - Supervisory Health Scientist Administrator (Program Officer) GS-601-15 – MP <https://www.usajobs.gov/GetJob/ViewDetails/489592900> **DE = Delegated Examining position open to U.S. Citizens (public announcement)* **MP = Merit Promotion position open to federal employees only.* **************************************************************** Regards, Michele ----- Michele Ferrante <michele.ferrante(a)nih.gov>, PhD Theoretical and Computational Neuroscience <http://www.nimh.nih.gov/about/organization/dnbbs/behavioral-science-and-int…> & Computational Psychiatry <https://www.nimh.nih.gov/about/organization/dtr/adult-psychopathology-and-p…> NIMH Ph. 301-435-6782 <(301)%20435-6782> | WebEx <https://nih.webex.com/join/ferrantemnih.gov> | 6001 Executive Blvd, Rockville, MD 20852, Office # 7202

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Reminder: Call for Workshops - Bernstein Conference 2018
by Kerstin Schwarzwaelder 30 Jan '18

30 Jan '18

The Bernstein Network Computational Neuroscience invites proposals for Satellite Workshops directly preceding the Bernstein Conference 2018 in Berlin. ************************************************************** Important Dates: Satellite Workshops: September 25 - 26, 2018 Main Bernstein Conference: September 26 - 28, 2018 Deadline for Satellite Workshop proposal submission: March 15, 2018 Notification of Workshop acceptance: April 2018 ************************************************************** Since 2013, the Bernstein Conference hosts pre-conference workshops which provide a stage to discuss topical research questions, novel scientific approaches and challenges in Computational Neuroscience and related fields. Workshops addressing controversial issues, open problems, and comparisons of competing approaches are encouraged. The format should be designed to foster debate, rather than a mere series of talks. The selection criteria for Workshop proposals will include scientific excellence, topical relevance and gender diversity. The Bernstein Conference started out as the annual meeting of the Bernstein Network Computational Neuroscience and has become the largest annual single-track Computational Neuroscience conference in Europe in recent years. Satellite Workshop schedule: September 25, 2018, 2:00 pm - 6:30 pm September 26, 2018, 8:30 am - noon Workshop proposals are welcome for either half-day or full-day workshops. Workshop costs – FINANCIAL SUPPORT: All organizers and speakers of accepted workshops will receive a waiver for the workshop fee. Organizers of accepted workshops additionally receive a waiver for the main conference. Up to 10 selected workshops can receive financial support up to 1.500,00 € each. For further information about the conference, please visit the conference website http://www.bernstein-conference.de. INSTRUCTIONS FOR WORKSHOP PROPOSAL PREPARATION Workshop proposals must contain: 1) Workshop Title 2) Concise description of workshop topic 3) List of potential speakers indicating speaker commitment 4) Optional: a comment on how the organizers plan to achieve gender diversity among speakers Please use the Workshop Proposal Form that can be downloaded here: http://www.nncn.de/de/bernstein-conference/2018/satellite-workshops Deadline for submission of Workshop proposals: March 15, 2018 CONTACT: bernstein.network(at)fz-juelich.de We are looking forward to seeing you in Berlin! WORKSHOP SELECTION COMMITTEE: Jakob Macke (Workshop Chair) Tatjana Tchumatchenko (Workshop Vice Chair) Axel Borst Nicolas Brunel Anne Churchland Claudia Clopath Gaute Einevoll Adrienne Fairhall Gilles Laurent (Program Chair) Mate Lengyel Elad Schneidman Susanne Schreiber (Program Vice Chair) Terry Sejnowski Henning Sprekeler (Conference Host) Fred Wolf -- Dr. Kerstin Schwarzwälder Scientific Coordination / Management Officer Please note: Our email addresses have changed. Please use k.schwarzwaelder(a)fz-juelich.de<mailto:k.schwarzwaelder@fz-juelich.de> Bernstein Network Computational Neuroscience | Bernstein Coordination Site (BCOS) Branch Office of the Forschungszentrum Jülich at the University of Freiburg Hansastr. 9A | 79104 Freiburg, Germany phone: (+49) 0761 203 9589 mail: k.schwarzwaelder(a)fz-juelich.de<mailto:k.schwarzwaelder@fz-juelich.de> web: www.nncn.de<http://www.nncn.de> Twitter: NNCN_Germany<https://twitter.com/NNCN_Germany> 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…> <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 Dr. Karl Eugen Huthmacher Geschaeftsfuehrung: Prof. Dr.-Ing. Wolfgang Marquardt (Vorsitzender), Karsten Beneke (stellv. Vorsitzender), Prof. Dr.-Ing. Harald Bolt, Prof. Dr. Sebastian M. Schmidt ------------------------------------------------------------------------------------------------ ------------------------------------------------------------------------------------------------

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PhD AND POSTDOC POSITIONS IN COMPUTATIONAL NEUROSCIENCE AT ENS, PARIS
by Rava A. da Silveira 29 Jan '18

29 Jan '18

*Several DOCTORAL and POSTDOCTORAL openings in the group of RAVA AZEREDO DA SILVEIRA at the Ecole Normale Superieure, Paris* We will be hiring several Ph.D. students and postdocs to work on an array of projects on computation and coding in neural circuits. The projected studies range from the modeling of computations in retinal circuits, to the analysis of large sets of retinal and cortical data, to the investigations of mathematical models of coding. Some of the projects will be set in close collaboration with the experimental labs of Botond Roska (FMI, Basel) and Andreas Hierlemann (ETH, Basel); they will involve the study of mouse retina and cortex, primate retina, and human retina, and questions on the representation and transformation of sensory inputs in populations of neurons. Experience with data analysis and proficiency with numerical methods and programming, in addition to familiarity with neuroscience topics and mathematical and statistical methods, are desirable. Equally desirable are a spirit of intellectual adventure as well as drive and eagerness. The ENS, together with a number of neighboring institutions (College de France, Institut Curie, ESPCI, Paris Science et Lettres, Sorbonne Université, and Institut Pasteur), offers a rich scientific and intellectual environment, with a strong representation in computational neuroscience and related fields. Doctoral and postdoctoral salaries will be competitive, appreciably higher than standard French salaries. Depending on their projects, Ph.D. students and postdocs may wish to spend a fraction of their time in Basel, Switzerland, which features a first-rate community of researchers in experimental neuroscience. To apply, please send a letter of motivation, a statement of research interests limited to two pages, a curriculum vitae including a list of publications, and any relevant publications to rava(a)ens.fr, and arrange for three letters of recommendations to be sent to the same address. For full consideration, please apply by 1 March 2018.

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Register to ENCODS 2018 - FENS satellite Event
by Encods2018 Organising Committee 29 Jan '18

29 Jan '18

European Conference by Doctoral Students in FENS You still have time until January 31st to register to ENCODS 2018! Don't stay out of this unique experience for doctoral students. Please find below all the information you need to register. Dear fellow Neuroscience PhD students, We are pleased to invite you toENCODS 2018. We are a conference organised for and by doctoral students and a partner of FENS (Federation of European Neurosciences). ENCODS is a well-established international conference that started 2013 in Bordeaux and has since grown to become a leading event inspiring young scientists in the field of neuroscience. We aim to increase scientific exchange by bringing together young researchers, established scientists and visionaries. This new edition ofENCODS 2018 in Berlin, Germany is designed to move beyond the at times rigid speaker-audience concept by including a wide range of original activities to create a dynamic environment for new ideas and networking among scientists. What? ENCODS – the European Neuroscience Conference by Doctoral Students When? 5^th-6^th July 2018 Where? Berlin, Germany Who? Doctoral students from every discipline within the field of neuroscience How? Register for ENCODS 2018 at https://fens.us17.list-manage.com/track/click?u=6fe5b340a4b3a8c1ae5a27047&i… Please note that registration will open from 1^st December 2017 - 31^st January 2018. Registration fee waivers and travel grants are available, pending availability and application approval. For more information about us and our programme take a look at our poster (attached) or visit us in our social media: https://fens.us17.list-manage.com/track/click?u=6fe5b340a4b3a8c1ae5a27047&i… https://fens.us17.list-manage.com/track/click?u=6fe5b340a4b3a8c1ae5a27047&i… https://fens.us17.list-manage.com/track/click?u=6fe5b340a4b3a8c1ae5a27047&i… We look forward to seeing you there! The ENCODS 2018 Berlin Team ============================================================ ** (https://fens.us17.list-manage.com/track/click?u=6fe5b340a4b3a8c1ae5a27047&i…) ** (https://fens.us17.list-manage.com/track/click?u=6fe5b340a4b3a8c1ae5a27047&i…) ** (https://fens.us17.list-manage.com/track/click?u=6fe5b340a4b3a8c1ae5a27047&i…) ** (https://fens.us17.list-manage.com/track/click?u=6fe5b340a4b3a8c1ae5a27047&i…) Copyright © 2018 Encods2018, All rights reserved. You are receiving this e-mail because you were interested to participate in ENCODS2017 Our mailing address is: Encods2018 Philippstr. 13 Building 4 (Ostertaghaus) Berlin 10115 Germany Want to change how you receive these emails? You can ** update your preferences (https://fens.us17.list-manage.com/profile?u=6fe5b340a4b3a8c1ae5a27047&id=07…) or ** unsubscribe from this list (https://fens.us17.list-manage.com/unsubscribe?u=6fe5b340a4b3a8c1ae5a27047&i…) . Email Marketing Powered by MailChimp http://www.mailchimp.com/monkey-rewards/?utm_source=freemium_newsletter&utm…

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Two Postdoc positions in Muenster, Germany
by Joachim Gross 26 Jan '18

26 Jan '18

The Institute for Biomagnetism and Biosignalanalysis at University of Muenster invites applications for a Research associate/Postdoctoral scientist (f/m) Ref.: 01689 Full-Time with 38,5 (hours/week) (Germany salary grade: E 13 TV-L, 100%) Two positions are intramurally funded and available for 2 years. We are searching for trained and highly motivated scientists holding a PhD or MD degree and having experience in electrophysiology, cognitive neuroimaging or similar disciplines. The successful candidates are expected to have a strong publication record in international peer-reviewed journals. The research project requires acquisition of MEG data and analysis of neuronal oscillations and their relationship to behaviour. Therefore, experience with MEG/EEG, programming and spectral analysis is essential. The successful applicants will join a dynamic team of both experienced and junior researchers with many national and international collaborations and a sustained record of high-quality research output. For more information please contact Prof Dr Joachim Gross, University of Muenster, Institute for Biomagnetism and Biosignalanalysis, 48149 Münster, Germany, Email:. Joachim.Gross(at)wwu(dot)de Please send your application (including the above reference number) with all relevant information (CV, cover letter) by email (PDF-file, max. 5 MB) until 11.02.2018 to: bewerbung(at)ukmuenster(dot)de Applications of women are specifically invited. In the case of similar qualifications, competence, and specific achievements, women will be considered on preferential terms within the framework of the legal possibilities. Handicapped candidates with equivalent qualifications will be given preference. _________________________________________ Prof Dr Joachim Groß Director of Institute for Biomagnetism and Biosignalanalysis University of Muenster/Glasgow Phone:+49-251-8356865 [University of Glasgow: The Times Scottish University of the Year 2018]

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2 year post-doc position, LMU Munich, (PI / B. Bahrami )
by Deroy, Ophelia 26 Jan '18

26 Jan '18

Applications are sought for a 2-year post-doctoral researcher, to be based at the Ludwig Maximilian University in Munich (Germany), working at the Faculty of Psychology with Dr.Bahador Bahrami Webpage : http://www.psy.lmu.de/exp/people/ma/bahrami/index.html The successful candidate will join a multi-disciplinary project involving Bahador Bahrami (UCL/LMU), Ophelia Deroy (LMU), Chris D. Frith (University of London) and Peter Latham (Gatsby Computational Neuroscience Unit, UCL) aiming to examine the cognitive and computational bases of collective decisions under uncertainty. Requirements: The successful candidate will have (i) a strong background in quantitative methods (computational neuroscience, statistics, physics, machine learning) (ii) interest in interdisciplinary projects (iii) a PhD in physics (eg complex systems), psychology (cognitive or social), behavioural economics or neuroscience (behavioural, systems). Knowledge of experimental design, statistics and data analysis is expected. Strong command of linear algebra, probability theory, computer programming (web- based platforms (e.g. Java) and/or Python, Matlab) is highly desirable. The position is for two years,with an intermediate evaluation for satisfactory performance. The appointment will be made within the German TV-L E 13 salary scheme. If interested, please contact bbahrami(a)gmail.com for preliminary inquiries. Full advert: http://www.philosophie.uni-muenchen.de/lehreinheiten/phil_of_mind/personen/…

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POSTDOC OFFER in Theoretical Neurosciences (FUNDED BY THE HBP : SP4 (theory))
by Romain Veltz 26 Jan '18

26 Jan '18

Dear all, We are offering a two-year postdoc position to work within the Inria MathNeuro team <https://team.inria.fr/mathneuro/> (Sophia Antipolis, France) on Mean-field descriptions or thermodynamics limits of large populations of neurons. We are particularly interested to study multiple-time scale phenomena within this framework. The position is within the SP4 (Theory) of the HBP <https://www.humanbrainproject.eu/en/>. Candidates should have a background in mathematics or physics. Of particular to us are familiarity of the candidate with slow-fast dynamical systems, singular perturbation theory, bifurcation theory, probability theory, and a strong interest in applying these theories to neuroscience. Ability and willingness to do programming will also be a strong point to select candidates. They will be expected to interact with other participants of SP4 as well as with some participants of SP3. Interested candidates should send a CV and a short research proposal regarding the proposed topic (maximum one page) to one of the following address: mathieu.desroches(a)inria.fr <mailto:mathieu.desroches@inria.fr>, olivier.faugeras(a)inria.fr <mailto:olivier.faugeras@inria.fr>, romain.veltz(a)inria.fr <mailto:romain.veltz@inria.fr> Deadline for applying: 28 February 2018. Expected start date: 1st June 2018. Best regards Romain Veltz MathNeuro Project Team Inria Sophia Antipolis Méditerranée 2004 Route des Lucioles-BP 93 FR-06902 Sophia Antipolis Tel: +33 4 92 38 76 90 http://romainveltz.pythonanywhere.com/

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Special issue "An ecological perspective on decision-making"
by Davidson, Jacob 26 Jan '18

26 Jan '18

Hi Everyone, I want to let you know about a special issue I am co-editing, in the journal Frontiers in Ecology and Evolution: An Ecological Perspective on Decision-Making: Empirical and Theoretical Studies in Natural and Natural-Like Environments<https://www.frontiersin.org/research-topics/7283/an-ecological-perspective-…> Abstract submission deadline: 31 May 2018 Feel free to email me if you have questions and/or think about submitting something. Call for papers This Research Topic aims to connect quantitative behavioral analysis, individual cognition and decision-making, and neural-inspired models, with ecologically-relevant behavior such as foraging, nest and mate choice, predator avoidance, social interactions, and migration. Behavior is influenced by many factors in a dynamic environment. In contrast, laboratory tasks are often designed to eliminate parameters that could influence behavior, to generate data that fit existing models. Challenges in observing and quantifying behavior in natural situations have made it difficult to develop associated theoretical models, and to relate decision mechanisms to ecological and evolutionary mechanisms. However, recent advances in data acquisition technology, computer vision, behavioral modeling, and machine learning are changing this, by facilitating the collection and efficient processing of large amounts of data to extract relevant behavior and environmental details. New theoretical tools and methods are needed to analyze and model such data and to understand animal behavior in complex, ecologically relevant settings. This topic invites submissions that use theory and experiment to investigate behavioral choices relevant to an animal’s natural environment, and to link levels of organization of behavioral processes, from the neurobiological to individual to group and system-level. To understand how natural selection has shaped animal behavior and decision-making, it is crucial to link behavior in ecologically-relevant tasks with both the underlying neurobiological mechanisms, and the environmental context. Decision making has been a major focus in the systems and cognitive neuroscience community because it bridges sensory, motor, and executive functions. Important advances have been made in understanding the neurobiological underpinnings of decision-making, using neuronal recordings of animals as they engage in laboratory tasks such as the two-alternative forced choice task, and stochastic modeling of the decision processes. However, the day-to-day decisions made by an animal can be quite different from those made in idealized lab conditions. Choices are often made sequentially ("stay-or-go") instead of between simultaneous alternatives. Behavioral responses tend to be specific to a particular environmental context. Because the outcome of behavior influences an animal's survival and reproduction, evolution shapes behavior to perform in an animal's natural environment. Thus many decision strategies can only be understood in a particular ecological context. For example, context- or state-dependent decisions may be an appropriate strategy in a changing and uncertain environment, but are sub-optimal in a static context. Moreover, since decisions are constrained by an individual's underlying neurobiological circuitry and cognitive abilities, some decision-making mechanisms are the result of evolutionary history, conserved across different species. This interdisciplinary Research Topic aims to connect theorists and experimentalists studying decision-making in ecologically-relevant contexts. This work spans the fields of ecology, neuroscience, psychology, animal behavior, behavioral economics, computer science, mathematics and physics. Topics include, but are not limited to, foraging, habitat and mate choice, social relationships, perception-based decision modeling, quantitative behavioral analysis, and evolutionary studies. Both theoretical and experimental studies are welcome, and studies that combine both are especially encouraged. Cheers, Jacob -- Dr. Jacob Davidson Postdoctoral researcher Department Collective Behaviour Max Planck Institute for Ornithology jdavidson(a)orn.mpg.de<mailto:jdavidson@orn.mpg.de>

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