- Comp-neuro - lists.cnsorg.org

PhD post in Computational Neuroscience

by McDaid, Liam

Dear all, A PhD position in Computational Neuroscience is available at the Ulster University where the closing date for applications is Friday 24th February 2017. The position is fully funded with a start date of October 2017. Project title: A Computational Model of Regulating Neuronal Excitability by GABA Neurons The successful candidate will be based at Ulster working within the Intelligent Systems Research Centre (ISRC) and the position will involve close collaboration with colleague at University College London and the University of Manchester. The project will build on recent findings where it was shown that the GAT3 transporter facilitates the uptake of extracellular GABA and this is accompanied by a large increase in intracellular Na+ concentration, which can reverse the Na+/Ca2+ exchanger causing an intercellular increase in Ca2+. This may have an important role in regulating blood flow and also can result in the release of gliotransmitters, which is believed to modulate synaptic strength and transmission. Moreover, it is now believed that GAT3 induces a rise in extracellular adenosine that acts at presynaptic adenosine receptors and this is likely to cause a decrease in secondary messengers within cells. This is a completely novel mechanism of glia-neuron communication and capturing this interaction will be the major focus of this PhD. This exciting project will require the graduate to collaborate with experimental neuroscientists in the development of computational models of the above GABA mediated interactions and therefore at the end of the PhD study period he/she will expect to have gained significant expertise in computational modelling and neuroscience. We would also like to encourage international applicants. For more information on how to apply go to: https://www.ulster.ac.uk/faculties/computing-and-engineering/schools/resear… ________________________________ This email and any attachments are confidential and intended solely for the use of the addressee and may contain information which is covered by legal, professional or other privilege. If you have received this email in error please notify the system manager at postmaster(a)ulster.ac.uk and delete this email immediately. Any views or opinions expressed are solely those of the author and do not necessarily represent those of Ulster University. The University's computer systems may be monitored and communications carried out on them may be recorded to secure the effective operation of the system and for other lawful purposes. Ulster University does not guarantee that this email or any attachments are free from viruses or 100% secure. Unless expressly stated in the body of a separate attachment, the text of email is not intended to form a binding contract. Correspondence to and from the University may be subject to requests for disclosure by 3rd parties under relevant legislation. The University of Ulster was founded by Royal Charter in 1984 and is registered with company number RC000726 and VAT registered number GB672390524.The primary contact address for Ulster University in Northern Ireland is Cromore Road, Coleraine, Co. Londonderry BT52 1SA

Feb. 20, 2017

Postdoctoral position modeling gamma synchrony in Carmen Canavier's lab

by Canavier, Carmen C.

Description A Senior Postdoctoral Researcher position is available in the area of Computational Neuroscience in the Department of Cell Biology and Anatomy, LSU Health New Orleans in the lab of Dr. Carmen Canavier. The main project will take an existing model of interneuronal network gamma (ING) and embed it within a network of hippocampal pyramidal neurons in order to build a model of pyramidal-interneuronal gamma (PING). The project will include both theoretical and empirical analyses of the synchronization properties of these networks, and in particular the contribution of intrinsic neuronal properties as compared to synaptic properties. These analyses require knowledge of linear and nonlinear systems theory, probability theory and signal processing. The project will require programming in python and the simulation package NEURON to run parallelized simulations on a Linux cluster. This position will include administering the lab’s computational cluster and mentoring both graduate and undergraduate students. Qualifications * Ph.D. in Engineering, Mathematics, Neuroscience, Physics, Computer Science or a related field of study * At least three (3) years of experience in computational neuroscience Preferred Qualifications * Writing code, running the simulation package NEURON, using single neuron models * Signal processing experience and familiarity with nonlinear dynamics Applicant Instructions Qualified applicants should submit curriculum vitae and three letters of reference using the following link https://www.lsuhsc.edu/Administration/hrm/CareerOpportunities/Home/Detail/1…

Jan. 25, 2017

Symposia on Memory, March 6-10 in Barcelona

by Alex Roxin

Dear all, This is a reminder that there will be a week-long series of Symposia on Memory at the Centre de Recerca Matemàtica this coming March 6-10. We will focus on a different topic each day, e.g. molecular and synaptic basis of memory, circuit mechanisms, cortex and hippocampus, and so on. There will be both experimental and theoretical talks; please look at the schedule if you are curious. You can view the schedule and register here http://www.crm.cat/en/Activities/Curs_2016-2017/Pages/MATHMEM_Symposia.aspx There is a special, reduced fee, single day registration if you cannot attend the full meeting. Note that the final day of the program will take place at the Institut d'Estudis Catalans, a historic building in the heart of Barcelona, right next door to where Santiago Ramón y Cajal taught medicine! You can still submit abstracts for a poster or a contributed talk of which there will be a limited number. The deadline for submission is the -31st of January-. I hope to see you in Barcelona. best regards, Alex

Jan. 25, 2017

Call for abstracts, symposia and registration for CNS 2017 in Antwerp, Belgium

by Daniele Marinazzo

Dear all it's our pleasure to inform you that the site for the 26th Annual Computational Neuroscience Meeting is now up and running for submissions of papers and symposia proposals, and for registration. Please visit http://www.cnsorg.org/cns-2017 for all the info on the conference. We also have a twitter account https://twitter.com/CNS2017Antwerp Looking forward to seeing you in beautiful Antwerp from July 15th to 20th, for what will be a great meeting! On behalf of all the organizers Daniele -- Daniele Marinazzo -- Department of Data Analysis Faculty of Psychology and Pedagogical Sciences, Ghent University Henri Dunantlaan 1, B-9000 Ghent, Belgium +32 (0) 9 264 6375 <http://www.da.ugent.be/>http://users.ugent.be/~dmarinaz/ https://twitter.com/dan_marinazzo http://helpdesk.ugent.be/e-maildisclaimer.php

Jan. 24, 2017

Sense 2 Synapse 2017 Conference, Saturday April 8th, The Rockefeller University, New York City, Registration Open

by Christoph Kirst

Dear Neuroscience Community, we like to invite you to join us for this year's *Sense 2 Synapse *which will be held on Saturday, *April 8th, 2017* in the Carson Family Auditorium at *The Rockefeller University, New York City *! The conference is an annual event for scientists working on the biology of sensory transduction, subsequent neural processing and perception. With *Larry Abbott *(Columbia University), *Nicole Rust* (University of Pennsylvania),****Sarah Woolley**(Columbia University) and*Gaby Maimon* (The Rockefeller University) we have a great list of key-note speakers, which will be complemented by talks selected from abstract submissions and a poster session. More information found on our website: *http://sense2synapse.com/ <https://urldefense.proofpoint.com/v2/url?u=http-3A__sense2synapse.com_&d=Dw…> * and you can register here: *http://www.sense2synapse.com/registrationForm <https://urldefense.proofpoint.com/v2/url?u=http-3A__www.sense2synapse.com_r…>* Join us for a great day of science, discussions and nice food ! The organizing team Christoph Kirst Florian Berger Jeremie Barral Gonzalo Otazu Nicolas Renier -- Christoph Kirst Fellow for Physics and Biology Center for Theoretical Studies and Kavli Physics Fellow Kavli Neural Systems Institute The Rockefeller University 1230 York Avenue, New York, NY 10065 USA +1 212 327 7561 :: ckirst(a)rockefeller.edu

Jan. 24, 2017

LM2017 - Second Call for Papers, Satellite Events and Sponsors (7 weeks until submission deadline)

by INFO CSNETWORK, Bústia Compartida

**Apologies for crossposting** 2nd Call for Papers, Satellite Events and Sponsors Living Machines VI: The 6th International Conference on Biomimetic and Biohybrid Systems 25 – 28 July 2017 http://livingmachinesconference.eu/ <http://livingmachinesconference.eu/2017> Living Machines Conference | Home livingmachinesconference.eu Stanford will host Living Machines 2017! The 6th International Conference on Biomimetics and Biohybrid Systems will be hosted at Stanford University, California, US. To be hosted at Stanford University, Stanford, CA, USA Accepted papers will be published in Springer Lecturer Notes in Artificial Intelligence Submission deadline: March 10th, 2017 ______________________________________________________________ ABOUT LIVING MACHINES 2017 https://www.youtube.com/watch?v=WqPOCDh1FNw YouTube www.youtube.com and share it all with friends, family, and the world on YouTube. The development of future real-world technologies will depend strongly on our understanding and harnessing of the principles underlying living systems and the flow of communication signals between living and artificial systems. Biomimetics is the development of novel technologies through the distillation of principles from the study of biological systems. The investigation of biomimetic systems can serve two complementary goals. First, a suitably designed and configured biomimetic artefact can be used to test theories about the natural system of interest. Second, biomimetic technologies can provide useful, elegant and efficient solutions to unsolved challenges in science and engineering. Biohybrid systems are formed by combining at least one biological component—an existing living system—and at least one artificial, newly-engineered component. By passing information in one or both directions, such a system forms a new hybrid bio-artificial entity. The theme of the conference also encompasses biomimetic methods for manufacture, repair and recycling inspired by natural processes such as reproduction, digestion, morphogenesis and metamorphosis. The following are some examples of “Living Machines” as featured at past conferences: • Biomimetic robots and their component technologies (sensors, actuators, processors) that can intelligently interact with their environments. • Biomimetic computers—neuromimetic emulations of the physiological basis for intelligent behaviour. • Active biomimetic materials and structures that self-organize and self-repair. • Nature-inspired designs and manufacturing processes. • Biohybrid brain-machine interfaces and neural implants. • Artificial organs and body-parts including sensory organ-chip hybrids and intelligent prostheses. • Organism-level biohybrids such as robot-animal or robot-human systems. ACTIVITIES The main conference will take the form of a three-day single-track oral and poster presentation programme, 26th to 28th July 2017, hosted at Stanford University, California, USA. The conference programme will include five plenary lectures from leading international researchers in biomimetic and biohybrid systems, and the demonstrations of state-of-the-art living machine technologies. The full conference will be preceded by up to two days of Satellite Events hosted at Stanford University. SUBMITTING TO LIVING MACHINES 2017 We invite both full papers and extended abstracts in areas related to the conference themes. All contributions will be refereed and accepted papers will appear in the Living Machines Proceedings, published in the Springer-Verlag Lecture Notes in Artificial Intelligence. Full papers (minimum 8 pages, up to 12 pages) are invited from researchers at any stage in their career and should present significant findings and advances in biomimetic or biohybrid research. More preliminary work is better suited for short paper submission (minimum 4 pages, with a maximum of ten references and no more than three self-citations). Full papers will be accepted for either oral presentation (single track) or poster presentation with a short podium preview. Extended abstracts will be accepted for poster presentation only. Authors of the best full papers will be invited to submitted extended versions of their paper for publication in a special issue of the Taylor & Francis journal Connection Science. Satellite events Active researchers in biomimetic and biohybrid systems are invited to propose topics for full or half-day tutorials, symposia or workshops on related themes to be held on the 25th July at Stanford University. Attendance at satellite events will attract a small fee intended to cover the costs of the meeting. There is flexibility about the content, organisation, and budgeting for these events. Please contact us if you are interested in organising a satellite event! EXPECTED DEADLINES March 10th, 2017 Paper submission deadline April 28th, 2017 Notification of acceptance May 15th, 2017 Camera ready copy July 25th - 28th 2017 Conference SPONSORSHIP Organisations wishing to sponsor the conference in any way and gain the corresponding benefits by promoting themselves and their products through conference publications, conference events, and conference publicity are encouraged to contact the organisers to discuss the terms of sponsorship and necessary arrangements. We offer a number of attractive options to potential sponsors: http://livingmachinesconference.eu/about/ VENUE Living Machines 2017 will be hosted at Stanford University a world leading research University that this year celebrates its 125th anniversary. Stanford is located in California's Bay Area, one of the most intellectually dynamic and culturally diverse areas of the US. Organising Committee: Mark Cutkosky, Stanford University (Local Organizing Chair) Paul Verschure, Universitat Pompeu Fabra (Co-Chair) Tony Prescott, University of Sheffield (Co-chair) Michael Mangan, University of Lincoln (Programme Chair) Marc Desmulliez, Heriott Watt University, Scotland (Steering Committee) Anna Mura, Universitat Pompeu Fabra (Web and Communications) Nathan Lepora, University of Bristol (Communications)

Jan. 22, 2017

New JETCAS Special Issue: Low-Power, Adaptive Neuromorphic Systems: Devices, Circuit, Architectures and Algorithms

by Arindam Basu

Dear all ** Apologies for cross-posting Would like to draw your attention to a new Special issue in JETCAS on "Low-Power, Adaptive Neuromorphic Systems: Devices, Circuit, Architectures and Algorithms" that I am co-editing with colleagues. Manuscript submission deadline is on April 30, 2017. Look forward to receiving your contributions. IEEE JOURNAL ON EMERGING AND SELECTED TOPICS IN CIRCUITS AND SYSTEMS CALL for PAPERS Low-Power, Adaptive Neuromorphic Systems: Devices, Circuit, Architectures and Algorithms Guest Editors Full name Email Affiliation Arindam Basu* arindam.basu(a)ntu.edu.sg Nanyang Technological University Tanay Karnik tanay.karnik(a)intel.com Intel Hai Li hai.li(a)duke.edu Duke University Elisabetta Chicca chicca(a)cit-ec.uni-bielefeld.de Bielefeld University Meng-Fan Chang mfchang(a)mx.nthu.edu.tw National Tsing Hua University Jae-sun Seo jaesun.seo(a)asu.edu Arizona State University (* Corresponding) Scope and Purpose The recent success of “Deep neural networks” (DNN) has renewed interest in bio-inspired machine learning algorithms. DNN refers to neural networks with multiple layers (typically two or more) where the neurons are interconnected using tunable weights. Though these architectures are not new, availability of lots of data, huge computing power and new training techniques (such as unsupervised initialization, use of rectified linear units as the neuronal nonlinearity, regularization using dropout or sparsity, etc.) to prevent the networks from over-fitting have led to its great success in recent times. DNN has been applied to a variety of fields such as object or face recognition in images, word recognition in speech or even natural language processing and the success stories of DNN keep on increasing every day. However, the common training method in deep learning, such as back propagation, tunes the weights of neural networks based on the gradient of the error function, which requires a known output value for every input. It would be difficult to use such supervised learning methods to train and adapt to real-time sensory input data that are mostly unlabeled. In addition, training and classification phases of deep neural networks are typically separated, such that training occurs in the cloud or high-end graphics processing units, while their weights or synapses are fixed during deployment for classification. However, this makes it difficult for the neural network to continuously adapt to input or environment changes in real-world applications. By adopting unsupervised and semi-supervised learning rules found in biological nervous systems, we anticipate to enable adaptive neuromorphic systems for many real-time applications with a large amount of unlabeled data, similar to how humans analyze and associate sensory input data. Energy-efficient hardware implementation of these adaptive neuromorphic systems is particularly challenging due to intensive computation, memory, and communication that are necessary for online, real-time learning and classification. Cross-layer innovations on algorithms, architectures, circuits, and devices are required to enable adaptive intelligence especially on embedded systems with severe power and area constraints. Topics of Interest This special issue invites submissions relating to all aspects of adaptive neuromorphic systems across algorithms, devices, circuits, and architectures. Possible scalability to human brain-scale computing level with energy-efficient online learning is desired. Submissions are welcome in the following topics or other related topics: · Spin mode adaptive neuromorphics with devices such as spin transfer nano-oscillator, domain wall memory, tunneling magnetic resistance, inverse spin hall effect, etc. · Memristive technology based learning synapse and neurons · Neuromorphic implementations of synaptic plasticity, short-term adaptation and homeostatic mechanisms · Self-learning synapses (STDP and variants) and self-adaptive neuromorphic systems · High fan-in scalable interconnect fabric technologies mimicking brain-scale networks · Circuits and systems for efficient interfacing with post-CMOS memory based learning synapses · Design methodology and design tools for adaptive neuromorphic systems with post-CMOS devices · Algorithm, device, circuit, and architecture co-design for energy-efficient adaptive neuromorphic hardware Important Dates 1. Manuscript submissions due: April 30, 2017 2. First decision: July 15, 2017 3. Revised manuscripts due: August 15, 2017 4. Final Decision: October 15, 2017 5. Final manuscripts due: November 15, 2017 Request for Information Arindam Basu (arindam.basu(a)ntu.edu.sg<mailto:arindam.basu@ntu.edu.sg>) https://mc.manuscriptcentral.com/jetcas Best regards, Arindam ________________________________ 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.

Jan. 21, 2017

ICMNS 2017: *Reminder, Abstracts Due Jan 31, 2017*

by Zachary Kilpatrick

This is a reminder that Abstract Submissions are due January 31, 2017 for the 3rd International Conference on Mathematical Neuroscience (ICMNS 2017), to be held at the Hotel Boulderado in Boulder, Colorado from May 30 to June 2, 2017. https://www.math.uh.edu/~zpkilpat/icmns2017/index.html <https://www.math.uh.edu/~zpkilpat/icmns2017/index.html> Meeting registration will open soon. Early Registration (Until March 31) will be $250 for students/postdocs, $350 for faculty, and $50 for tutorials. The International Conference on Mathematical Neuroscience will provide a forum for researchers to discuss current mathematical innovations emerging in neuroscience. A major aim of the conference is to attract and train young researchers on current methods in mathematical neuroscience. Abstract Submission: We encourage abstract submission by researchers from all areas of mathematical neuroscience. One page abstracts will be reviewed by a Program Committee and divided into three parallel talk sessions and a poster session. Details are given here: https://www.math.uh.edu/~zpkilpat/icmns2017/submissions.html <https://www.math.uh.edu/~zpkilpat/icmns2017/submissions.html> Student Travel Awards: This year, we will offer student travel awards, due to the generous support from NSF, SIAM, Burroughs Wellcome, and the University of Colorado. To apply, students must submit an abstract and include a current CV as part of their submitted document in Easychair. Confirmed Speakers Danielle Bassett (University of Pennsylvania) Paul Bressloff (University of Utah) Nicolas Brunel (University of Chicago) Sophie Deneve (École Normale Supérieure) Brent Doiron (University of Pittsburgh) Marla Feller (University of California, Berkeley) Ila Fiete (University of Texas) Stefano Fusi (Columbia University) Peter Thomas (Case Western Reserve University) Taro Toyoizumi (Riken Brain Science Institute) Tutorial Speakers: Paul Bressloff, Sophie Deneve, Brent Doiron, Stefano Fusi, Joel Zylberberg (University of Colorado, School of Medicine) Program Committee https://www.math.uh.edu/~zpkilpat/icmns2017/committees.html <https://www.math.uh.edu/~zpkilpat/icmns2017/committees.html> We hope to see you in Boulder this May! All the best Zachary Kilpatrick (University of Colorado) Julijana Gjorgjieva (Max Planck Institute for Brain Research) Robert Rosenbaum (University of Notre Dame)

Jan. 20, 2017

Fruit Fly Brain Hackathon 2017

by Yiyin Zhou

Fruit Fly Brain Hackathon 2017 FFBH 2017 <http://www.bionet.ee.columbia.edu/hackathons/ffbh/2017>March 12, 2017Columbia University, New York, NY 10027 We are pleased to announce the 2nd Fruit Fly Brain Hackathon (FFBO 2017). This hackathon will feature the Fruit Fly Brain Observatory (FFBO) and its key components NeuroNLP and NeuroGFX. The former allows for exploring fruit fly brain data using plain English queries, and the latter facilitates the modeling and execution of such brain circuits. Brief tutorials will be given on the usage of the FFBO as well as developing new tools/features in FFBO. The hackathon is aimed at three main groups of participants: neurobiologists, modelers and software engineers. The goal of the hackathon is to bring together these three groups of participants to create new ideas to develop, use and improve the FFBO platform towards developing executable model of the fruit fly brain. The Fruit Fly Brain Hackathon is organized in conjunction with the Columbia Workshop on Brain Circuit, Memory and Computation on March 13-14, 2017. Participants of the hackathon are welcome to attend the workshop. Registration is free but all participants have to register <https://ffbo17.eventbrite.com/> (*https://ffbo17.eventbrite.com/ <https://ffbo17.eventbrite.com/>*). Organizers: Paul Richmond, Department of Computer Science, University of Sheffield Adam Tomkins, Department of Automatic Control and Systems Engineering, University of Sheffield Nikul Ukani, Department of Electrical Engineering, Columbia University Chung-Heng Yeh, Department of Electrical Engineering, Columbia University Yiyin Zhou, Department of Electrical Engineering, Columbia University More information can be found on the hackathon website: http://www.bionet.ee.columbia.edu/hackathons/ffbh/2017 ------------------------------------------------------------ ------------------ Best Regards, Yiyin Zhou, on behalf of the organizers

Jan. 19, 2017

Postdoc in Medical Data Science

by Philipp Berens

The lab of Philipp Berens (www.berenslab.org) at the Institute for Ophthalmic Research (www.eye-tuebingen.de) at the Eberhard-Karls-University Tübingen is offering a position as Postdoctoral Researcher in _Medical Data Science for Ophthalmology_ to be filled as soon as possible, with funding for up to 4 years. The successful candidate will perform research at the interface of data science and medicine with the goal to advance statistical methods for predicting disease onset or identifying risk factors by combining classical epidemiological approaches with recent developments in deep learning. The work will be done in close collaboration with the lab of Marius Ueffing and the ZEISS Vision Lab at the Institute for Ophthalmic Research and will contribute to a better understanding of ophthalmic diseases such as diabetic retinopathy or macular degeneration. The Berens lab conducts research in computational neuroscience, data science and biostatistics with a focus on developing tools to integrate various data sources. We have recently developed a framework based on deep neural networks for detecting diabetic retinopathy from fundus images modeling the decision uncertainty of the classifier (https://doi.org/10.1101/084210) Tübingen is home to a vibrant machine learning community with ample opportunity for interaction with researchers at both the University as well as the Max Planck Institute for Intelligent Systems. The Institute of Ophthalmic Research is part of the Center of Ophthalmology, covering various aspects of ophthalmic research from basic retinal neuroscience to the development of gene therapy and neuroprosthetics. We offer employment with a salary and social benefits based on the collective agreement for public service employees in the academic and science sector, TV-L. The Eberhard-Karls-University of Tübingen promotes gender equality and therefore particularly encourages female scientists to apply. Preferential status will be given to handicapped persons, if equally qualified. Requirements: • PhD in machine learning, statistics or related fields • Experience with medical data • Programming experience in Python and R • Strong publication record and scientific independence Interested applicants should contact Dr. Philipp Berens (philipp.berens(a)uni-tuebingen.de) providing a curriculum vitae, a one-page description of past research experience & future research interests, a one-page description of the motivation for applying to this position and names of at least two people that could provide letters of reference. Please compile your application in one single PDF-file and add [Data Science Postdoc] to the subject line. -- University of Tübingen Institute for Ophthalmic Research http://www.berenslab.org NEW PHONE NUMBER: +49-7071-2988833

Jan. 19, 2017

3 years funded PhD in oscillatory behaviour in Alzheimer’s disease to establish biomarkers, Deadline 31st of January

by Eirini Mavritsaki

Dear all, We are advertising a 3 year funded PhD project in "Investigating oscillatory behaviour in Alzheimer’s disease to establish biomarkers: an EEG and computational modelling programme of PhD study" Successful applicants for our funded PhD studentships will receive a tax-free research stipend that tracks UK Research Council rates (currently £14,296) and a fee waiver to the value of Home / EU student PhD fees (currently £4,120). Closing date for applications Tuesday 31 January 2017 at 23:59. This is a transdisciplinary STEAM Project This proposed PhD work follows high profile research by the University of Birmingham team (Prof. Kim Shapiro, Prof. Howard Bowman and Mr Ali Mazaheri). The project is collaborative work between Birmingham City University (Dr Eirini Mavritsak) and University of Birmingham (Prof. Kim Shapiro and Prof. Howard Bowman). The University of Birmingham team has access to ERP data of a semantic anomaly and word repetition task (Olichney et al, 2002). In the original analysis of the data Olichney and colleagues, the N400 component was analysed, which is related to semantic manipulation. Olichney and colleagues found evidence of N400 abnormalities in mild cognitive impairment patients, which predicted later progression to Alzhemier’s. We plan to simulate this data and the changes observed in this data by developing a computational model that is based on the sSoTS (Mavritsaki, Heinke, Humphreys and Deco, 2011) model. The synaptic currents that sSoTS contains will allow us to extract the ERP profile and simulate the above described experiment. In addition to that sSoTS model has already successfully simulated visual search outcomes for patients with Alzheimer’s (Mavritsaki and Humphreys, 2013). The project is separated into two phases: in phase 1, we plan to develop the computational model to simulate controls and mild cognitive impairment patients and in phase 2 we are planning to extend the model to allow us to predict the development of the disease based on identified biomarkers. The successful applicant will join the Centre for Applied Psychological Research (CAP Research) within the Department of Psychology at Birmingham City University. CAP Research is part of a vibrant and rapidly expanding research community, which offers applicants with an excellent opportunity to develop their research career. The applicant has the opportunity to have teaching experience, to participate in research seminars and to co-supervise undergraduate projects. The successful candidate will also be expected to attend the weekly meetings of the University of Birmingham research team. You can find further details on studying for a PhD and details of how to apply on the following link http://www.bcu.ac.uk/courses/social-sciences Candidate Qualification and Specifications: Essential Ø The applicant should hold a good undergraduate honours degree (First or 2:1) in psychology or related area. Ø The applicant should have experience of computational modelling, evidenced by previous work or masters degree. Ø A demonstrated understanding of research methods is essential (as evidenced by degree transcript grades for research methods and dissertation modules). Ø Experience in C++ and Matlab. Desirable Ø A Masters’ degree in research methods, psychology or computational modelling Ø Experience in EEG analysis Contact: Eirini Mavritsaki, Ph.D., CPsychol Email: eirini.mavritsaki(a)bcu.ac.uk<mailto:eirini.mavritsaki@bcu.ac.uk> Best regards, Eirini Mavritsaki ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Eirini Mavritsaki, PhD, CPsychol Senior Lecturer in Cognitive Psychology Director of Research in the School of Social Sciences Department of Psychology Faculty of Business Law and Social Sciences Birmingham City University The Curzon Building 4 Cardigan Street Birmingham B4 7BD eirini.mavritsaki(a)bcu.ac.uk<mailto:eirini.mavritsaki@bcu.ac.uk> 0121 331 6361 Special Issue in Frontiers 'Neuropsychology through the lenses of computational modelling' http://fron.tiers.in/go/r2e3M4 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

Jan. 19, 2017

Postdoctoral fellowship in computational neuroscience at Harvard

by Jan Drugowitsch

Dear all, Jan Drugowitsch (Department of Neurobiology, Harvard) and Sam Gershman (Department of Psychology, Harvard) are seeking a postdoctoral fellow to work on a project combining computational modeling, psychophysics, and clinical studies. The project focuses on the neural basis of visual structure discovery, using motion perception as a model system. Our goal is to understand how neural circuits represent and reason about complex combinatorial structures, and how these neural circuits break down in autism. The postdoctoral fellow's main focus is the computational modeling component of the project. The Drugowitsch and Gershman labs are located in the Longwood medical area and Harvard’s Cambridge campus, respectively. Harvard, and the Boston area in general, has an excellent neuroscience community and programs in engineering, statistics, and related fields. Candidates must have a Ph.D. in a quantitative discipline and strong background in Bayesian modeling and computational neuroscience. Experience with visual psychophysics experiments is desirable but not essential. Applicants should send a CV and statement of research interests to Jan Drugowitsch (Jan_Drugowitsch(a)hms.harvard.edu) The initial appointment is for one year with the expectation of extension given satisfactory performance. Applications will be reviewed until the position is filled. Jan Drugowitsch will be attending the the Computational and Systems Neuroscience meeting on February 23-28 to interview potential candidates. Best regards, Jan Drugowitsch Assistant Professor in Neurobiology Harvard Medical School

Jan. 18, 2017

Excellence workshop ''Dynamical Network States, Criticality and Cortical Function'' (March 25-28, 2017 in Germany)

by David Rotermund

We would like to invite you to participate in our excellence workshop “Dynamical Network States, Criticality and Cortical Function”. It will take place March 25-28, 2017 at the Hanse-Wissenschaftskolleg in Delmenhorst (near Bremen, Germany). Please feel free to forward the following information to anyone who you think may be interested in attending our workshop. Confirmed Speakers John Beggs, Matthias Bethge, Stefan Bornholdt, Mauro Copelli, Lucilla de Arcangelis, Thilo Gross, Michael Herrmann, Anna Levina, Klaus Linkenkaer-Hansen, Paolo Massobrio, Ruben Moreno-Bote, Eilif Benjamin Müller, Dietmar Plenz, Viola Priesemann, Silvia Scarpetta, Woodrow Shew, Oren Shriki, Thilo Womelsdorf. Workshop description ==================== Current information on the workshop can be found on the website http://www.h-w-k.de/index.php?id=2240 Soon we will update this web-page with the program . Cortical information processing relies heavily on the collective dynamics of neurons and networks distributed over many brain areas. A key concept for understanding this process is the idea that networks operate near a critical state, which offers several potential benefits for computation and information processing. However, there is still a large gap between research on criticality and understanding brain function: For example, * biological cortical networks are not homogeneous but highly structured, * they are not in a state of spontaneous activation but strongly driven by changing external stimuli, and * they process information with respect to a concrete behavioral goal. Moreover, critical states are just one side of the medal, since there are other concepts of how collective dynamics enables, shapes, and controls information processing; i.e. actively provide an operating point for cortical computation: To name just a few, there are * balance between excitation and inhibition, * temporal coordination and multiplexing, and * task-dependent computation and signal routing (selective attention). Understanding cortical function will only be possible by putting these conceptual ideas into a unifying framework and critically test them against experimental evidence. In this workshop we will bring together experts representing different approaches for understanding the collective dynamics of cortical networks and their implications for information processing. Hereby we will focus on work with a concrete link to cortical physiology, structure or dynamics observed in experiments. Our goals are to establish novel links between communities, concepts and methods and to identify key problems that have to be addressed by future theoretical and experimental work. Registration ============ The general costs of the workshop will be subsidized by the 'Hanse-Wissenschaftskolleg Institute for Advanced Study' (www.h-w-k.de) and by the BMBF (Bernstein Award Udo Ernst). However, in order to cover all costs, we ask for a registration fee in the amount of € 50,00 for PhD students and € 100,00 for postdocs/professors. Unfortunately, we cannot cover your costs for accommodation and travelling. Participation in the workshop will be limited to about 60 attendees (20 main speakers, 40 postdocs + PhD students). In case you are interested in participating, we would ask you to send your reply to Agnes Janssen ajanssen(a)neuro.uni-bremen.de. We can also arrange hotel reservations for you. Poster session ============== Besides the talks of the main speakers and plenty of time for discussions, there will be a poster session. You are invited to present a poster, in which case please send the title and abstract to Agnes Janssen. Again, we would greatly appreciate having you at our workshop. If you have any questions, please do not hesitate to contact us. Yours sincerely Udo Ernst and Nergis Tömen

Jan. 18, 2017

Post-Doc position at UCL Ear Institute: How the brain detects patterns in sound sequences

by Marcus Pearce

Dear All (with apologies for cross-posting), *A postdoctoral research associate position*is available at the UCL Ear Institute’s ‘Auditory Cognitive Neuroscience Lab’ to work on a project entitled "How the brain detects patterns in sound sequences". The project will be supervised by Dr Maria Chait and conducted in collaboration with Dr. Marcus Pearce (Queen Mary University, London) and colleagues at the UCL Wellcome Trust centre for neuroimaging. The post is funded for 34 months in the first instance and involves a combination of behavioural, computational, eye tracking, and functional brain imaging (EEG, MEG, fMRI) experiments in humans. For more information about the post please see the lab website: *http://www.ucl.ac.uk/ear/research/chaitlab/vacancies* The Ear Institute is a leading interdisciplinary centre for hearing research in Europe, situated within one of the strongest neuroscience communities in the world at University College London *Key Requirements* The successful applicant will have a PhD in neuroscience or a neuroscience-related discipline and proven ability to conduct high-quality original research and prepare results for publication. Essential skills include excellent time-management and organizational ability; proficiency in computer programming and good interpersonal, oral and written communication skills. Previous experience with functional brain imaging, neural data analysis, psychophysical assessment, and/or auditory science or acoustics would be desirable. *Further Details* You should apply for this post (Ref #: 1618836) through UCL's online recruitment website, www.ucl.ac.uk/hr/jobs <http://www.ucl.ac.uk/hr/jobs>, where you can download a job description and person specifications. *Closing Date for applications is: *1 Feb 2017 *For an informal discussion please contact Dr. Maria Chait (m.chait(a)ucl.ac.uk).* Maria Chait PhD m.chait(a)ucl.ac.uk <mailto:m.chait@ucl.ac.uk> Reader in Auditory Cognitive Neuroscience Lab site: http://www.ucl.ac.uk/ear/research/chaitlab/ UCL Ear Institute 332 Gray's Inn Road London WC1X 8EE

Jan. 18, 2017

Faculty position in Computational Neuroscience - open rank

by Jorn Diedrichsen

Western University (Ontario, Canada) is inviting applications from exceptional investigators at all career levels for a probationary (tenure-track) position at the rank of Assistant or Associate or a tenured faculty position at the rank of Associate or Professor in Computational Neuroscience. This appointment is in association with BrainsCAN (http://www.uwo.ca/brainscan) a $66M initiative funded by the Canada First Research Excellence Fund at Western University, and will be the first of two new positions in this area. For further particulars, please see: http://www.uwo.ca/bmi/media/CompNeuroScienceJan2017.pdf Jörn Diedrichsen Western Research Chair Brain Mind Institute Department of Computer Science Department of Statistics Email: jdiedric(a)uwo.ca<mailto:jdiedric@uwo.ca> Tel: 1-519-661-2111 x86994

Jan. 18, 2017

Funded PhD/postdoc position "Neural basis for motivation and perseverence in behavior"

by Gjorgjieva, Julijana

A funded PhD position "Neural basis for motivation and perseverence in behavior” is available in the group of Julijana Gjorgjieva, Max Planck Institute for Brain Research (Frankfurt, Germany) and the Technical University of Munich (Munich, Germany). We will also consider strong postdoctoral applicants. Recommended application deadline: February 15, 2017. Applicants will be considered until the position is filled. The project is a collaboration with the experimental lab of Ilona Grunwald Kadow (Technical University of Munich) who studies the neural circuits underlying sensory processing and decision making in Drosophila. We are two young and highly-driven labs with many interesting ideas and synergistic interactions. Have you ever wondered how you came to like the taste of coffee? If you don’t like blue cheese, would you still consider eating some if you were very hungry? We want to understand how behavior changes in response to different sensory experiences and how they are imprinted as memories. The project aims to uncover circuit principles and behavioral readouts of motivation and persistence in the presence of diverse stimuli of different valences (appetitive of aversive) and as a function of internal state (e.g. hunger). To achieve this, we use a combination of theory, computational modeling and cutting-edge experiments. Applicants should have strong quantitative background (in mathematics, physics, engineering, computer science, or related fields), some experience in programming and data analysis, and a desire to develop cutting-edge experimental techniques. Previous background in behavioral analysis is a plus! The position offers the possibility to live in two of the most exciting cities in Germany and Europe. It will be based at the Max Planck Institute for Brain Research in Frankfurt, with frequent visits to the Technical University of Munich in Munich. The position also offers the possibility of behavioral analysis and in vivo multiphoton imaging experiments to be performed in the collaborating Grunwald Kadow lab: http://www.neuro.wzw.tum.de To apply, please email the following: 1. A curriculum vitae 2. A motivation letter (if a PhD student) or a description of research interests (if a postdoc). Please explain your scientific interests, what are you strengths when working on a problem, why us? 3. Contact details for 2-3 referees 4. A written sample of scientific research, e.g. a manuscript, thesis, or code Please feel free to contact us with informal enquiries: gjorgjieva(a)brain.mpg.de http://www.cns.wzw.tum.de ----------------------------------------- Julijana Gjorgjieva, PhD Research Group Leader Max Planck Institute for Brain Research Max-von-Laue-Str. 4, Frankfurt Assistant Professor of Computational Neuroscience Technical University of Munich, WZW Freising office: +49 69 850033 3600 http://cns.wzw.tum.de

Jan. 17, 2017

Post-doc position in Computational Neuroscience available at University of Sussex

by Thomas Nowotny

Dear all, A post-doc position in Computational Neuroscience is available at the University of Sussex for 20 months to be filled as soon as possible. You will be joining the Odor Objects project (http://www.odor-objects.org/) in which we are investigating how animals interpret the complex odor plumes of chemicals in the air to identify sources of odors and distinguish them. Odor Objects is supported by the Human Frontiers Science Program (www.hfsp.org/<http://www.hfsp.org/>) and combines 4 international groups in Konstanz, Germany (physiology), Tempe, Arizona (behavior), Tokyo, Japan (robotics) and Brighton, UK (computational models). If you are joining us at Sussex your work will involve computational modelling of brain networks and data analysis of related data from the experimental partners. Models will then be used to design bio-mimetic controllers which will be tested by our partners in Japan. We are looking for a talented post-doc with an interest in computational work. Applicants from all science disciplines are welcome but essential skills are the ability to program, mathematical skills, e.g. to be able to apply dynamical systems analysis, and creative scientific thinking. The bulk of the work will be carried out on the beautiful Falmer campus of the University of Sussex at the outskirts of the lively South Coast town of Brighton. As part of the project you will travel to the project partners worldwide. There are many opportunities for further interactions at Sussex beyond the project, e.g. with the Brains on Board project (BrainsOnBoard<http://gow.epsrc.ac.uk/NGBOViewGrant.aspx?GrantRef=EP/P006094/1)>), and a wide variety of Neuroscience research in Sussex Neuroscience (www.sussex.ac.uk/sussexneuroscience/<http://www.sussex.ac.uk/sussexneuroscience/>). For more details and to apply, please go to http://www.sussex.ac.uk/aboutus/jobs/1626 . There is an initial closing date of 1 February 2017 but we will continue searching until the position is filled. Best regards, Thomas -- Prof Thomas Nowotny Director of Research and Knowledge Exchange School of Engineering and Informatics University of Sussex Falmer, Brighton BN1 9QJ, UK Phone: +441273678593 FAX: +441273877873

Jan. 17, 2017

3-year fully-funded PhD in motor learning and control

by Joseph Galea (School of Psychology) (ID=*****11)

Dear all, The Galea lab (josephgalea.weebly.com<http://josephgalea.weebly.com/>) in the School of Psychology at the University of Birmingham (UK) has a fully-funded (for UK/EU nationals) 3-year PhD position beginning October, 2017 funded by the ERC starting grant: MotMotLearn. Motor learning (the ability of the brain to learn and update how an action is executed) is a fundamental process which influences many aspects of our lives such as learning to walk during childhood; the day-to-day behavioural adjustments required as an adult or in healthy ageing; and the rehabilitation process following an illness or injury. Despite the impact to society, it has proved extremely difficult to develop interventions that significantly enhance human motor learning. Therefore, devising protocols which optimise motor learning is a state-of-the-art research question that promises to deliver scientific, clinical and societal impact. Seeking reward and avoiding punishment are powerful factors in motivating humans to alter behaviour during cognition-based learning (selecting which action to perform), with sensitivity to reward and punishment being biased by the availability of dopamine in the brain. Intriguingly, reward and punishment are also known to affect generic motor learning (deciding how an action is executed) tasks which involve multiple underlying mechanisms. However to establish their potential for optimizing motor learning, we must understand how explicit reward- and punishment-based motivational feedback impact motor learning systems with unique computational and anatomical features. Using a combination of behavioural analysis, computational modelling, genetics and brain imaging, this PhD project will contribute to the first systems-based account of how reward, punishment and dopamine influence motor learning. Specifically, the successful candidate will investigate how motor memories are consolidated across multiple days and the influence reward has on this process. It will further examine whether memory retention can be enhanced through reward-based implicit cues and if this process can be captured with EEG. Dr Galea is seeking an intelligent and enthusiastic student with experience either in motor control/learning, computational neuroscience and/or EEG. The ideal candidate will have experience with programming in matlab, collecting data (from participants) on behavioural tasks and some understanding of statistics. A masters and/or research assistant experience would be ideal but not compulsory. Psychology at the University of Birmingham www.birmingham.ac.uk/schools/psychology/research/index.aspx<http://www.birmingham.ac.uk/schools/psychology/research/index.aspx> If interested please email your CV to: j.galea(a)bham.ac.uk<mailto:j.galea@bham.ac.uk>

Jan. 17, 2017

Connectomics

by Francesca Martini/NSAS

I would like to post in the mailing list about the following Workshop: Advanced Course: Connectomics. April 22-26, 2017. Neuroscience School of Advanced Studies Siena, Italy. Coordinator: Sean Hill (Switzerland) This Advanced Course will focus on multi-scale aspects of the connectome and will cover the cellular basis of connectivity; large-scale data gathering and data analysis of whole brain connectivity across scales; data integration of multimodal connectome data; data-driven computational modeling and simulation at different scales of brain circuitry; the development of the connectome and its link to behavior and neurological disorders; predicting whole brain dynamics from the connectome; the relationship between the connectome and the diversity of brain states and experiences. Further information: <http://www.nsas.it/courses-workshops/advanced-courses/connectomics/> http://www.nsas.it/courses-workshops/advanced-courses/connectomics/ Kind regards, Francesca The Course Secretariat Neuroscience School of Advanced Studies Certosa di Pontignano Via di Pontignano 5, Castelnuovo Berardenga, Siena. Italy Tel. +39.0577.146.0003

Jan. 16, 2017

2 postdoc positions open in Champalimaud, Lisbon

by Cristina Chavarrías

*Call for Post-Doctoral Fellows in the Neuroplasticity & Neural Activity MRI-Lab * Two fully-funded post-doc positions are available immediately in the Neuroplasticity & Neural Activity MRI-Lab <http://neuro.fchampalimaud.org/en/research/investigators/research-groups/gr…> at the Champalimaud Neuroscience Programme (CNP), Champalimaud Centre for the Unknown in Lisbon, Portugal. We are looking for top-tier, highly-motivated Post-Doctoral Fellows who have a strong interest in understanding how underlying neural activity is related with fMRI signals. The focus is on performing high-end BOLD and nonBOLD fMRI with simultaneous calcium recordings and/or electrophysiology in rodents, using optogenetics for pretargeting specific populations of neurons. In particular, we aim to hire one person with extensive experience in* in vivo* calcium recordings / imaging and/or electrophysiology and one person with extensive experience in fMRI analyses. An excellent, well-documented track-record is imperative. To apply, please send the following items to noam.shemesh(a)neuro.fchampalimaud.org: 1. Cover Letter stating your interests 2. A full CV, including list of publications 3. Names and email addresses of at least 3 references. Successful applicants will receive full funding and a private/national health insurance. Call deadline: *Feb 28th 2017*. ------------------------------------------------------------ ----------------------------------- The Shemesh Lab in Champalimaud Neuroscience Programme (CNP) <http://neuro.fchampalimaud.org/en/research/investigators/research-groups/gr…> investigates neural activity, neuroplasticity, and how they elicit behavioral changes *in vivo*. These questions are interrogated in the context of normal processes (development, learning…), as well as in neuropsychiatric and neurodegeneration animal models of disease. Our approach involves a plethora of advanced methods, mainly revolving around state-of-the-art preclinical MRI/MRS, augmented by simultaneous ancillary techniques (optogenetics, calcium recordings, advanced behavioral testing). One of the main goals in the Lab is to develop nonBOLD fMRI methods, which will report on neural activity much more directly compared to conventional fMRI. This ERC-funded Lab benefits from a cutting-edge, ultrahigh field 16.4T scanner, as well as a 9.4T scanner equipped with two 4-element array cryoprobes (for mice and rats, respectively), another 1T scanner for basic scanning and testing in more biomedical settings, and lasers for optogenetics / calcium recordings; the Lab also has a fully equipped surgery room, space for performing extensive behavioural studies and access to one of Europe’s largest vivaria and ancillary platforms for histology, microscopy, transgenics and viruses, among others. CNP is situated within the Champalimaud Centre for the Unknown <http://www.fchampalimaud.org/en/>, a private, non-profit foundation residing on Lisbon’s waterfront, right where the River Tejo meets the Atlantic Ocean. CCU provides a stunning and productive working environment, harboring a Neuroscience department for basic research, and a clinical centre for treating cancer patients with pioneering methods. This unique blend of basic research and clinical practice under the same roof, which actively encourages collaborations and exchange of ideas, results in a highly interdisciplinary and stimulating atmosphere. Post-Doctoral salaries are very competitive vis-à-vis Lisbon costs of living, and post-docs further benefit from health insurance.

Jan. 13, 2017

Towards solving the Hard Problem of Consciousness

by Stephen Grossberg

Dear Colleagues, I am writing to call your attention to my article about the Hard Problem of Consciousness. The results have enabled me to explain lots of psychological and neurobiological data about normal subjects and clinical patients for which I can find no other explanations, let alone explanations as part of an emerging unified theory. The article is published Open Access so anyone can read it. Grossberg, S. (2017). Towards solving the Hard Problem of Consciousness: The varieties of brain resonances and the conscious experiences that they support Neural Networks 87, 38–95 http://www.sciencedirect.com/science/article/pii/S0893608016301800 <http://www.sciencedirect.com/science/article/pii/S0893608016301800> Best, Steve Stephen Grossberg http://en.wikipedia.org/wiki/Stephen_Grossberg <http://en.wikipedia.org/wiki/Stephen_Grossberg> http://scholar.google.com/citations?user=3BIV70wAAAAJ&hl=en <http://scholar.google.com/citations?user=3BIV70wAAAAJ&hl=en>https://youtu.be/9n5AnvFur7I <https://youtu.be/9n5AnvFur7I> Wang Professor of Cognitive and Neural Systems Professor of Mathematics & Statistics, Psychological & Brain Sciences, and Biomedical Engineering Director, Center for Adaptive Systems http://cns.bu.edu/~steve <http://cns.bu.edu/~steve> steve(a)bu.edu <mailto:steve@bu.edu>

Jan. 12, 2017

Fancy a change in 2017? Faculty posts in the UK...

by John Spencer (PSY)

Greetings Colleagues, The School of Psychology at the University of East Anglia (https://www.uea.ac.uk/psychology) has 5 faculty positions available at the Lecturer (Assistant Prof) / Senior Lecturer/Reader (Associate Prof) / and Professor levels. This is part of a major expansion of the School; as such, we welcome interest from research teams who might offer concentrated strength in a single area. The School of Psychology is the newest school at UEA, and the first new School of Psychology to be formed in a research-intensive university in the UK for many years. These posts signal UEA's commitment to investment in world-class research, forming part of an ambitious expansion plan to create a world-leading faculty bridging disciplines to yield deep understanding of the processes that underlie and organise human behaviour. We are currently building a strength in the area of systems neuroscience, including a variety of imaging approaches as well as computational neuroscience. UEA has fantastic research facilities (fNIRS, fMRI, TMS, EEG, eye-tracking, virtual reality), a lovely campus, and it is situated in Norwich, UK - a wonderful place to live, with a castle, cathedrals, restaurants, and pubs. If you have any questions about the posts, do let me know. Details can be found at: https://www.uea.ac.uk/hr/vacancies/academic/-/asset_publisher/h0n2rDvu3ug8/… Cheers, John Spencer John P. Spencer, PhD Professor School of Psychology, Room 0.09 Lawrence Stenhouse Building, University of East Anglia, Norwich Research Park, Norwich NR4 7TJ United Kingdom Email: j.spencer(a)uea.ac.uk<mailto:j.spencer@uea.ac.uk> School website: http://www.uea.ac.uk/psy Telephone 01603 593968 [cid:image001.png@01D09851.EF67E200] UK Top 15 (Times and Sunday Times Good University Guide 2017) UK Top 5 for Student Satisfaction (National Student Survey, 2005-2016) World Top 1% (Times Higher Education World Rankings 2016-17) World Top 100 for Research Excellence (Leiden Ranking 2016)

Jan. 12, 2017

Open postdoctoral position in fMRI data analysis at the California Institute of Technology

by Ueli Rutishauser

*Post-doctoral position for fMRI data analysis at the California Institute of Technology (Caltech)* We invite applicants with strong expertise in machine learning and functional connectivity analysis of resting-state fMRI data to apply for a post-doctoral position in Caltech’s NIH Conte Center for the Neurobiology of Social Decision-Making (conte.caltech.edu) The research will be in a highly collaborative environment and include exploration of multimodal data encompassing rs-fMRI, structural MRI, psychological assessments, eyetracking data, as well as lesion data and intracranial electrophysiology, with the overall aim to investigate the neural underpinnings of individual differences. Candidates should have a recent PhD in systems, cognitive, or computational neuroscience with a track-record of first-author publications. Strong programming skills (using Matlab or Python), data handling skills, statistical literacy and fMRI software expertise (Freesurfer, AFNI/FSL/SPM, Connectome Workbench) are essential. Caltech is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, or national origin, disability status, protected veteran status, or any other characteristic protected by law. Applicants should submit a CV, including a list of publications, a brief description of research interests and analysis skills, and a list of three references to Ralph Adolphs, radolphs(a)caltech.edu.

Jan. 12, 2017

3 neuroinformatics positions in the Vogels Group at Oxford University

by timvogels＠gmail.com

Dear all, We are opening three positions (2 postdocs and a technician) in my lab to continue the work on icg.neurotheory.ox.ac.uk <http://icg.neurotheory.ox.ac.uk/>. Our first paper is still in revision, but its pretty close to out now, so if we’re lucky, at some point it will make it out into the world. You can find a preprint at http://www.biorxiv.org/content/early/2016/06/16/058685 <http://www.biorxiv.org/content/early/2016/06/16/058685>. If you are interested (or you know someone who would be interested) in any of the open positions, please find the first two ads with information on how to apply here: bit.ly/2i8zKQU <http://bit.ly/2i8zKQU> and here: bit.ly/2jkz4cn <http://bit.ly/2jkz4cn> Deadline is the 10th of February 2017 but we will keep looking until we find suitable applicants. The starting date is negotiable. We are looking for people who can code up a storm, love neurobiology and neuroinformatics and work well in a team environment. Successful candidates will work with the other members of the @icgenalogy project within the Vogels lab, http://www.neurotheory.ox.ac.uk/~timv <http://www.neurotheory.ox.ac.uk/~timv> at the cncb.ox.ac.uk <http://cncb.ox.ac.uk/> at the University of Oxford. We will collaborate with https://senselab.med.yale.edu/ModelDB/ <https://senselab.med.yale.edu/ModelDB/> and hope to integrate also with http://www.opensourcebrain.org/ <http://www.opensourcebrain.org/>, http://www.treestoolbox.org/index.html <http://www.treestoolbox.org/index.html>, and any other open source brain simulation databases that wants to coordinate their efforts. Below, please find additional information for the posts, but do feel free to drop me a line if you have any questions. Applications from women and minority groups are encouraged. All the best, Tim Vogels ------------------ Prof Tim Vogels Sir Henry Dale Research Fellow, Associate Professor Centre for Neural Circuits and Behaviour and Oriel College Department of Physiology, Anatomy & Genetics University of Oxford Mansfield Road Oxford, OX1 3SR http://cncb.ox.ac.uk <http://cncb.ox.ac.uk/> http://www.neurotheory.ox.ac.uk/~timv <http://www.neurotheory.ox.ac.uk/~timv> Postdoctoral Research Scientist in Computational Neuroscience Department of Physiology, Anatomy and Genetics, Centre for Neural Circuits and Behaviour, Tinsley Building, Mansfield Road, Oxford Grade 7.1 £31,076 p.a. We are seeking to appoint a Postdoctoral Research Scientist to support and expand ongoing neuroinformatics research (https://icg.neurotheory.ox.ac.uk) undertaken in the Vogels Group at the Centre for Neural Circuits and Behaviour. The candidate will contribute to the development of approaches for the quantitative analysis, comparison and categorisation of published neuroscientific models and experimental data, aiding in field-wide standardization of experimentally-constrained modelling. The researcher will be expected to carry out simulations of morphologically detailed neuron models and neuronal networks in the NEURON simulation environment, and should be familiar with, and able to implement, standard models of ion channel function. Additionally, he/she will develop neuroinformatics infrastructure for the storage, classification and visualisation of experimental and simulated data. The successful candidate will also perform general laboratory duties to include keeping accurate records of work carried out, maintaining adequate levels of general laboratory consumables, to take part in and make regular reports at laboratory meetings and to share responsibility for general data management of the lab. The candidate will also be expected to guide and support the progress of the Graduate students in the lab. Some ad hoc teaching may also be required. The successful candidate must have a demonstrable academic interest in both computer science and the neurosciences with a PhD in neuroscience, computer science or a related discipline. They will have experience with object oriented programming, be familiar with Git and team-based software development and have laboratory experience in computational neuroscience, neuroinformatics and computer science. They should have good written and oral communication skills and be able to work as part of team and to collaborate with other colleagues on a wide range of projects. The successful candidate will be based at the Centre for Neural Circuits and Behaviour, Tinsley Building, Mansfield Road, Oxford, OX1 3TA. This is a full-time, fixed-term post until March 2020 funded by the BBSRC (Biotechnology and Biological Sciences Research Council). The closing date for applications is 12.00 noon on 10 February 2017. Lab Technician Department of Physiology, Anatomy and Genetics, Centre for Neural Circuits and Behaviour, Tinsley Building, Mansfield Road, Oxford Grade 5: £24,565 p.a. We are seeking to appoint a Research Technician to support and expand ongoing neuroinformatics research (https://icg.neurotheory.ox.ac.uk) undertaken in the Vogels Group at the Centre for Neural Circuits and Behaviour. The candidate will contribute to the development of approaches for the quantitative analysis, comparison and categorisation of published neuroscientific models and experimental data, aiding in field-wide standardisation of experimentally-constrained modelling. The technician will be responsible for the curation and maintenance of a large database of published neuroscientific models and simulation data. For the expansion of the database, he/she will be expected to extract and annotate data from publications, as well as manipulate code for neuroscientific models to comply to standardized specifications. This includes the conversion of existing code between common neuronal simulator frameworks (e.g. Neuron, Moose, and Genesis). The research technician will preferably have extensive experience in neuroscience and/or computer science, or a related discipline such as maths, physics or biophysics. The post has high potential for training in neuroscience and would be an excellent starting point for a career in computational neuroscience or neuroinformatics. The candidate will be expected to work in close collaboration with all team members. The successful candidate will also perform general laboratory duties to include keeping accurate records of work carried out, maintaining adequate levels of general laboratory consumables, to take part in and make regular reports at laboratory meetings and to share responsibility for general data management of the lab. This post is funded by the Biotechnology and Biological Sciences Research Council for a fixed-term of 3 years. The closing date for applications is 12.00 noon on 10th February 2017.

Jan. 12, 2017

TMBMC - Shannon Centennial Special Issue Part 1

by Dimitrov, Alex

Please, take a look at the TMBMC issue that we edited. A second volume is coming up soon… View this email in your browser<https://urldefense.proofpoint.com/v2/url?u=http-3A__us12.campaign-2Darchive…> [https://gallery.mailchimp.com/660c2fc8403470cea02de0f18/images/6690283a-215…]<https://urldefense.proofpoint.com/v2/url?u=http-3A__mbmc.us12.list-2Dmanage…> IEEE Transactions on Molecular, Biological, and Multi-Scale Communications is proud to announce that our Special Issue on Biological Applications of Information Theory in Honor of Claude Shannon’s Centennial—Part 1 is now live on IEEE Xplore<https://urldefense.proofpoint.com/v2/url?u=http-3A__mbmc.us12.list-2Dmanage…>. Within the issue, you'll find the following 8 papers: * Mechanisms of information filtering in neural systems (Invited Paper; Linder) * Noise Filtering and Prediction in Biological Signaling Networks (Invited Paper; Hathcock, Sheehy, Weisenberger, Ilker, and Hinczewski) * The Use of Rate Distortion Theory to Evaluate Biological Signaling Pathways (Invited Paper; Iglesias) * Nonlinear Stochastic Dynamics of Complex Systems, III: Noneqilibrium Thermodynamics of Self-Replication Kinetics (Saakian and Qian) * Inferring Biological Networks by Sparse Identification of Nonlinear Dynamics (Mangan, Brunton, Proctor and Kutz) * Info-Clustering: A Mathematical Theory for Data Clustering (Chan, Al-Bashabsheh, Kaced, Zhou and Liu) * Fundamental Bounds for Sequence Reconstruction from Nanopore Sequencers (Magner, Duda, Szpankowski and Grama) * Inference of Causal Information Flow in Collective Animal Behavior (Lord, Sun, Ouellette and Bollt) Special Issue Guest Editors Prof. Alexander G. Dimitrov Department of Mathematics and Statistics Department of Integrative Physiology and Neuroscience Washington State University, Vancouver, Washington, USA Prof. Faramarz Fekri Department of Electrical and Computer Engineering Georgia Institute of Technology, Atlanta, Georgia, USA Prof. Aurel Lazar Department of Electrical Engineering Columbia University, New York, New York, USA Prof. Stefan M. Moser Signal and Information Processing Lab (ISI) ETH Zurich, Zurich, Switzerland Department of Electrical and Computer Engineering National Chiao Tung University (NCTU), Hsinchu, Taiwan Prof. Peter J. Thomas* Department of Mathematics, Applied Mathematics, and Statistics Department of Electrical Engineering and Computer Science Department of Biology Case Western Reserve University, Cleveland, Ohio, USA *corresponding guest editor The Special Issue on Biological Applications of Information Theory in Honor of Claude Shannon’s Centennial—Part 2 is forthcoming. Sincerely, Christina Tang-Bernas Editorial Assistant IEEE Transactions on Molecular, Biological, and Multi-Scale Communications Copyright © 2017 IEEE Transactions on Molecular, Biological, and Multi-Scale Communications, All rights reserved. You are receiving this email because you have attended a TMBMC-related event, are affiliated with TMBMC and/or their editors, published in TMBMC, or opted in at the TMBMC website. Our mailing address is: IEEE Transactions on Molecular, Biological, and Multi-Scale Communications 3737 Watt Way PHE 506 Los Angeles, CA 90089 Add us to your address book<https://urldefense.proofpoint.com/v2/url?u=http-3A__mbmc.us12.list-2Dmanage…> Want to change how you receive these emails? You can update your preferences<https://urldefense.proofpoint.com/v2/url?u=http-3A__mbmc.us12.list-2Dmanage…> or unsubscribe from this list<https://urldefense.proofpoint.com/v2/url?u=http-3A__mbmc.us12.list-2Dmanage…> This email was sent to alex.dimitrov(a)vancouver.wsu.edu<mailto:alex.dimitrov@vancouver.wsu.edu> why did I get this?<https://urldefense.proofpoint.com/v2/url?u=http-3A__mbmc.us12.list-2Dmanage…> unsubscribe from this list<https://urldefense.proofpoint.com/v2/url?u=http-3A__mbmc.us12.list-2Dmanage…> update subscription preferences<https://urldefense.proofpoint.com/v2/url?u=http-3A__mbmc.us12.list-2Dmanage…> IEEE Transactions on Molecular, Biological, and Multi-Scale Communications · 3737 Watt Way · PHE 506 · Los Angeles, CA 90089 · USA [mail Marketing Powered by MailChimp]<https://urldefense.proofpoint.com/v2/url?u=http-3A__www.mailchimp.com_monke…>

Jan. 11, 2017