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Open postdoctoral position in human intracranial electrophysiology: Blanchette Rockefeller Neurosciences Institute, West Virginia University
by Shuo Wang 17 Jul '17

17 Jul '17

*** Sorry for multiple postings*** We invite applicants with strong motivation in investigating the neural mechanisms of face processing and visual attention/saliency to apply for a postdoctoral position at the Blanchette Rockefeller Neurosciences Institute (BRNI), West Virginia University. The applicant will work on intracranial single-unit recordings from human subjects, investigating questions related to face processing and/or visual attention and visual saliency. This will include experimental work with patients (electrophysiology and behavior), data processing and analysis, spike-train analysis, and experimental design. The applicant will have access to state-of-the art equipment, facilities and analytical methods and this research will be in a highly collaborative environment. The applicant will not only collaborate with investigators at the BRNI, but also be part of an established team of investigators at both Cedars-Sinai Medical Center (Dr. Ueli Rutishauser) and the California Institute of Technology (Dr. Ralph Adolphs), with ample opportunity to learn new techniques and methods. Candidates should have a recent PhD in systems, cognitive, or computational neuroscience with a track-record of first-author publications. Strong programming (Matlab or similar), data analysis, statistics and electrophysiology skills are essential. Excellent written and oral English communication skills are required, including the ability to communicate with patients and their families. Individuals with previous human intracranial EEG experience and/or macaque single neuron recordings that wish to expand into human single-unit recordings are encouraged to apply. Interested applicants should send a CV, including a list of publications, a brief description of research interests and analysis skills, and contact information for 2-3 reference letters to Shuo Wang (shuo.wang(a)mail.wvu.edu) Informal inquiries are welcome. Further information about the lab can be found at https://sites.google.com/site/shuowangsocialneuroscience/.

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Methods of Information Theory workshop at CNS*2017
by Joseph Lizier 16 Jul '17

16 Jul '17

Dear all, Please note that the final schedule and speaker abstracts are available for the following workshop at CNS*2017 in Antwerp this week: Workshop on Methods of Information Theory in Computational Neuroscience 19 and 20 July 2017 Methods originally developed in Information Theory have found wide applicability in computational neuroscience. Beyond these original methods there is a need to develop novel tools and approaches that are driven by problems arising in neuroscience. A number of researchers in computational/systems neuroscience and in information/communication theory are investigating problems of information representation and processing. While the goals are often the same, these researchers bring different perspectives and points of view to a common set of neuroscience problems. Often they participate in different fora and their interaction is limited. The goal of the workshop is to bring some of these researchers together to discuss challenges posed by neuroscience and to exchange ideas and present their latest work. The workshop is targeted towards computational and systems neuroscientists with interest in methods of information theory as well as information/communication theorists with interest in neuroscience. Program: Wed 19 July (Room C.101): * 09:00 Raul Vicente, University of Tartu -- "Estimating and applying partial information decomposition to complex systems" * 09:45 Jil Meier, Delft University of Technology -- "The epidemic spreading model and the direction of information flow in brain networks" * 11:00 Karl Friston, University College London -- "Active inference and artificial curiosity" * 11:45 Taro Toyoizumi, RIKEN Brain Science Institute -- "A Local Learning Rule for Independent Component Analysis" * 14:00 Fleur Zeldenrust, Radboud Universiteit -- "Estimating the information extracted by a single spiking neuron from a continuous input time series" * 14:30 Pedro Martinez Mediano, Imperial College London -- "Integrated Information Theory Without the Hot Air" * 15:00 Mehrdad Salmasi, Ludwig-Maximilians-University Munich "Information rate of a synapse during short-term depression" * 16:00 Tatjana Tchumatchenko, Max Planck Institute for Brain Research, Frankfurt -- "Information coding of mean and variance modulating signals in cortical neurons" * 16:45 Renaud Jolivet, University of Geneva -- "Energy-efficient information transfer at synapses" * 17:30 Rodrigo Cofre, University of Geneva and Universidad de Valparaíso -- "Information Entropy Production and Large deviations of Maximum Entropy Processes from Spike Trains" Thu 20 July (Room C.101): * 09:00 Lionel Barnett, University of Sussex -- "Information Transfer in Continuous and Discrete Time" * 09:45 Joseph T. Lizier, The University of Sydney "An estimator for transfer entropy between spike trains" * 11:00 Viola Priesemann, Max Planck Institute for Dynamics and Self-organization, Goettingen -- "Quantifying Information Storage and Modification in Neural Recordings" * 11:45 Demain Battaglia, Aix-Marseille University -- "Discrete information processing states in anesthetized rat recordings" * 14:00 Selin Aviyente, Michigan State University "Directed Information: Application to EEG during cognitive control" * 14:45 Adrià Tauste, Universitat Pompeu Fabra -- "Directed information flow within the thalamo-cortical network" * 16:00 Daniele Marinazzo, University of Ghent -- "Synergy and redundancy in dynamical systems: towards a practical and operative definition" * 16:45 Lubomir Kostal, Academy of Sciences of the Czech Republic -- "Reference frame independence as a constraint on the mutual information decomposition" * 17:30 Robin Ince, University of Glasgow -- "Quantifying representational interactions in neuroimaging and electrophysiological data using information theory" Organisers: Joseph T. Lizier -- chair, The University of Sydney Viola Priesemann, Max Planck Institute for Dynamics and Self-organisation Justin Dauwels, Nanyang Technological University Taro Toyoizumi, RIKEN Brain Science Institute Alexander G. Dimitrov, Washington State University Lubomir Kostal, Academy of Sciences of the Czech Republic Michael Wibral, Goethe University, Frankfurt

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CNS2017 workshop on "Neuronal Oscillations: mechanisms and functionality"
by Frances Skinner 14 Jul '17

14 Jul '17

Please post: Dear all, We invite you to attend our workshop an CNS2017 tthis year. "Neurona*l Oscillations: mechanisms and functionality"* Oscillations at various frequency ranges have been observed in several brain structures (hippocampus, entorhinal cortex, olfactory bulb and others). They are believed to be important for cognitive functions such as learning, memory, navigation and attention. These rhythms have been studied at the single cell level, as the result of the interaction of a neuron’s intrinsic properties, at the network level, as the result of the interaction between the participating neurons and neuronal populations in a given brain region, and at higher levels of organization involving several of these regions. Recent advances in this field have benefited from the interaction between experiment and theory, and models with varying levels of detail. The purpose of this workshop is to bring together modelers, experimentalists and theorists with the goal of sharing and discussing their current results and ideas on the underlying mechanisms that govern the generation of these rhythms at various levels of organization, and their functional implications. An additional goal is to discuss what we mean by an explanation in the context of this workshop. To this end, speakers will be encouraged to address this issue from the perspective of Aristotle's four causes (efficient, material, formal and final causes) <http://plato.stanford.edu/archives/spr2015/entries/aristotle-causality/>. Please see 'What is computational neuroscience? (XVI) What is an explanation?' <http://romainbrette.fr/2013/06/>. Speakers: Day 1: F Skinner, J White, M Bezaire, V Cutsuridis, J Guzman, L Rubchinsky, D Levenstein, F Battaglia, M Bartos, J Mejias Day 2: C. Borgers, C Canavier, M Cunningham, J Lefebvre, A Peyrache, H Rotstein, B Pesaran, A Saudargiene For more details, please visit http://vassiliscutsuridis.com/workshop/CNS2017web.htm Thank you, Frances (on behalf of the organizers) -- Frances Skinner, PhD Krembil Research Institute/UHN and Univ Toronto www.skinnerlab.org

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CNS meeting 2017 workshop on "Recent methods and analyses for neuronal population recordings"
by Valentina Pasquale 14 Jul '17

14 Jul '17

Dear all, I would like to remind you about the WORKSHOP "RECENT METHODS AND ANALYSES FOR LARGE-SCALE NEURONAL POPULATION RECORDINGS" | JULY 19TH-20TH IN ANTWERP @ CNS MEETING 2017 http://www.computational-neuroscience-of-sensory-systems.org/workshop-on-re… Abstract: Understanding how assemblies of neurons encode information requires recording large populations of cells in the brain. In recent years, progress in population calcium imaging and multichannel electrophysiology opened the possibility to record from hundreds or even thousands of neurons simultaneously. While these techniques offer unprecedented chances to monitor large neural circuits, they also push for the design of new algorithms to gather and process information from such high-dimensional datasets. The workshop "Recent methods and analyses for large-scale neuronal population recordings", which will be held on July 19th-20th in Antwerp at the CNS meeting 2017, will gather leading experimentalists and theoreticians to discuss latest computational methods and analyses used to process such large-scale neuronal population recordings, both in vivo and in vitro. Focusing on high-density electrophysiology and calcium imaging, it will review recent advances in neuroinformatics research, including spike sorting techniques and characterization of neural assemblies' spatio-temporal activity. Organizers: Valentina Pasquale (IIT), Michela Chiappalone (IIT), Pierre Yger (Institut de la Vision, France) Speakers: July 19th * Matthias Hennig (University of Edinburgh, Scotland) * Felix Franke (ETH Zurich, Switzerland) * Nick Steinmetz (University College London, UK) * Pierre Yger (Institut de la Vision, France) * Thomas Deneux (UNIC, CNRS, France) * Marius Pachitariu (University College London, UK) * Stephen J. Eglen (University of Cambridge, UK) * Adrien Peyrache (McGill University, Canada) July 20th * George Dimitriadis (Sainsbury Welcome Centre, UK) * Gaute Einevoll (NMBU, Norway) * Yannick Bornat (IMS Bordeaux, France) * Ulisse Ferrari (Institut de la Vision, France) * Sonja Grün (Forschungszentrum Jülich, Germany) * Valentina Pasquale (Istituto Italiano di Tecnologia, Italy) * Arno Onken (Istituto Italiano di Tecnologia, Italy) * Paolo Bonifazi (Ikerbasque, Bilbao, Spain) For further information, please visit: http://www.computational-neuroscience-of-sensory-systems.org/workshop-on-re… Best, Valentina Pasquale valentina.pasquale(a)iit.it<mailto:valentina.pasquale@iit.it> ISTITUTO ITALIANO DI TECNOLOGIA Optical Approaches to Brain Function Lab Via Morego, 30 16163 Genova t: +39 010 71781 475 f: +39 010 71781 230 www.iit.it<http://www.iit.it/>

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Open PhD position computational neuroscienceB
by Claudius Gros 12 Jul '17

12 Jul '17

I would like to brink your attention our PhD-program in Computational Neurosciences / Complex Dynamical Systems at the Institute of Theoretical Physics, Goethe University Frankfurt, Germany Field(s): computational neurosciences, complex systems, theory neural networks, simulated robotics, dynamical systems. Application deadline: August 11, 2017 Contact: Prof. Claudius Gros, cgr[(a)]itp.uni-frankfurt.de We are developing new models and generative principles for the brain using a range of toolsets from dynamical systems theory and computational neurosciences. Examples are new objective functions and generating functionals for the sensori-motor loop, transient state dynamics and self-limiting Hebbian plasticity rules. Several subjects are available for the announced PhD thesis including the generation of transient state dynamics through short-term synaptic plasticity, the study of the stationarity principle for statistical learning and/or the generation of motor primitives through self-organized embodiment within the sensori-motor loop. The work will include analytic investigations and numerical simulations of neural networks and/or of simulated robots, using the toolset of dynamical systems theory. The candidate must have a Diploma/Master in physics, an excellent academic track record and good computational skills. Experience or strong interest in the fields of complex systems, computational neurosciences, dynamical systems theory and/or artificial or biological cognitive systems is expected. The degree of scientific research experience needs to be on the level of a German Diploma/Master The appointment will start summer/fall 2017, for up to three years. Interested applicants must submit a curriculum vitae, a list of publications and copies of the academic record. Name, affiliation and email of one or more potential references are to be given. Claudius Gros http://www.itp.uni-frankfurt.de/~gros General information on the University of Frankfurt and its employment policy. With its around 46000 students and 4600 employees, the Goethe University in Frankfurt is the largest university in the state of Hessen and an internationally renowned, important regional employer. Numerous quality and performance oriented internal reforms have been initiated in the recent years. The reorganized campuses for natural sciences and humanities offer an ideal environment for research and education. Since 2008, the Goethe University is a foundation under public law and enjoys full administrative autonomy. The fixed-term employment of the academic staff is subject to the provisions of the Temporary Science Employment Law (Wissenschaftszeitvertragsgesetz) and the Hessian Higher Education Act (Hessisches Hochschulgesetz). The University advocates gender equality and therefore strongly encourages women to apply. People with disabilities are given preference if equally qualified. ### ### Prof. Dr. Claudius Gros ### http://itp.uni-frankfurt.de/~gros ### ### Complex and Adaptive Dynamical Systems, A Primer ### A graduate-level textbook, Springer (2008/10/13/15) ### ### Mageia, das Buch der Farben ### http://www.buchderfarben.de ###

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Vice Chancellor's 5-year Research Fellowship in Biocomputation, Mental Health and Wellbeing (University of Hertfordshire, U.K.)
by Steuber, Volker 12 Jul '17

12 Jul '17

Research Fellow: Biocomputation, Mental Health and Wellbeing University of Hertfordshire - School of Computer Science Location: Hatfield Salary: £32,004 to £38,183 Grade 7 p.a. Hours: Full Time Contract Type: Fixed-Term/Contract Placed on: 27th June 2017 Closes: 21st August 2017 Job Ref: 014834 FTE 1.0 FTE working 37 hours per week Duration of Contract: Fixed term contract 5 years from October 2017 Qualifications required: Very strong PhD degree in a quantitative research-oriented discipline, examples are computer science, mathematics, physics and neuroscience; excellent programming skills in at least one major computer language (essential), and very strong mathematical background, with particular emphasis on areas such as computer algebra, Krohn-Rhodes algebraic automata theory and language theory, discrete/continuous/constructive dynamical systems theory, group theory, algebraic topology, information theory, probability theory and statistics, and mathematical methods for computational intelligence. Background in computational neuroscience, including processing and analysis of EEG data, especially EEG microstates, is highly desirable. Experience writing high-quality research publications (essential) and grant applications (desirable), as well as excellent communication skills (essential). Successful history of working in multidisciplinary teams (highly desirable). Description of the research activity and area: Algorithms and Biocomputation are growing areas of research excellence at the University of Hertfordshire. This Fellowship targets the development and application of our novel computational and mathematical methods (e.g., automata-, language-theoretic and algebraic methods; computational mechanics and Krohn-Rhodes computational algebraic biology) to biological systems. The Research Fellow will support ongoing and future work characterizing the neurodynamical spatio-temporal structure of human mental states led by Professor Chrystopher L. Nehaniv and external collaborator Dr Elena Antonova (Institute of Psychiatry, Psychology and Neuroscience, King’s College London). Our current BIAL Foundation grant focuses on using EEG microstate ‘grammars’ to distinguish different mental states in expert meditators. EEG microstates are quasi-stable maps of electric potential landscapes of short duration, typically classed in a small number of discrete types analogous to ‘letters’ of an alphabet. The tendency for simple EEG microstate transitions between certain pairs of these discrete types has already been shown to characterize clinical populations (people with schizophrenia or Alzheimer’s vs. healthy controls). Our current research targets finer understanding of richer temporal neurodynamical structure and patterns, using these novel computational methods, toward harnessing their potential eventually for applications in Health and Wellbeing as a diagnostic tool for different clinical populations. The Fellow will reinforce the established collaboration with KCL, supporting validation and development of our methods toward their eventual application in clinical diagnosis and mental illness prevention, as well as in promotion of wellbeing. The Fellow will be expected to publish in high-impact journals and present conference papers together with Professor Nehaniv and Dr Antonova, to contribute to writing grant applications to national and international funding bodies [e.g., Wellcome Trust, EPSRC/BBSRC/MRC, European Commission, and other funding agencies], and contribute to REF outputs of the School of Computer Science. In accord with the CONCORDAT for professional development of researchers, the candidate may be afforded the opportunity to undertake a limited amount of appropriate teaching (upon mutual agreement). The Royal Society / Wolfson Biocomputation Research Laboratory at the University of Hertfordshire has a long history of interdisciplinary innovation in computational methods for systems biology and neural systems, as well as applications of bioinspired-methods to other fields. It enjoys close interdisciplinary links to the Adaptive Systems and Algorithms Research Groups, whose interests include mathematical computer science, compilers, security, networks, artificial Intelligence robotics, artificial life, language acquisition, human-robot interaction, etc., and have labs equipped with humanoid and non-humanoid robots, as well as 3D printing facilities. External research connections to UK, European and international partners (e.g. University of California, Berkeley; Univ. Debrecen and Renyi Institute, Hungary; Sardex, Italy; etc) are supported through numerous research council and EC-funded collaborations and projects. Skills and experience needed: The Fellow will have established him/herself as an independent researcher, capable of establishing a programme of research activity within the scope of the project. S/he will have excellent oral and written communication skills in both spoken and written English and a track record of publications in high impact journals. The Fellow will be expected to build capacity in the area of Biocomputation and participate in attracting external funding, previous success being a desirable attribute. S/he should be able to establish good working relationships, and work closely with members of the Centre for Computer Science and Informatics Research and the School of Computer Science, at the University of Hertfordshire and with partner organisations as appropriate. The fellow should have knowledge of research methodology appropriate for the subject area and knowledge of appropriate databases for the discipline and ability to conduct literature searches in the discipline using appropriate electronic resources. Contact Details: Informal enquiries can be made to Professor Chrystopher L. Nehaniv, email: C.L.Nehaniv(a)herts.ac.uk<mailto:C.L.Nehaniv@herts.ac.uk> tel: +44 1707 284470<tel:01707%20284470> The University offers a range of benefits including a pension scheme, professional development, family friendly policies, child care vouchers, a fee waiver of 50% for all children of staff under the age of 21 at the start of the course, discounted memberships at the Hertfordshire Sports Village and generous annual leave. To make a formal application, follow links and apply on-line: http://www.jobs.ac.uk/job/BCH822/research-fellow-biocomputation-mental-heal…

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Postdoc Position: Learning Dynamics in Recurrent Networks
by Shouval, Harel 11 Jul '17

11 Jul '17

A postdoc position is available in the Shouval lab. The Postdoc will work on a project funded by the BRAIN grant: “Learning spatio-temporal statistics from the environment in recurrent networks”. In this project we will model both recurrent network models, and also the learning rules that allow them to learn their dynamics from environmental cues. This project is a collaboration between the lab of Harel Shouval at the University of Texas in Houston, and the lab of Nicolas Brunel at Duke. This is a two-year position and it can start immediately. The Shouval lab is a leader in developing models of synaptic plasticity and understanding their impact on learning and memory. The models we develop span from the molecular level and up to the systems level. In our some of our recent work we study the impact of synaptic plasticity on recurrent network dynamics and on incorporating reinforcement learning into biophysical plasticity models. We use both computational and analytical techniques to study these issues. The Shouval lab is located in the department of Neurobiology and Anatomy, in the UT medical school. Houston has a thriving Neuroscience community and it is an excellent environment for Theoretical and Computational Neuroscience. There is a high concentration of Theoretical Neuroscience labs at the different Houston area Universities (Baylor, Rice, UH, UT). Our Theoretical Neuroscience community is highly collaborative and there is a joint organization to foster these collaborations; the Gulf Coast Consortium in Theoretical and Computational Neuroscience (GCC-TCN). We hold an annual conference, joint graduate courses and a journal club. The ideal candidate will have a PhD in Computational Neuroscience with strong analytical and computational skills. I will also consider candidates with a background in the Physical or Computational Sciences who would like to become a Theoretical Neuroscientists. If you want to apply please send me your CV, and a brief cover letter that includes names of possible references. I will also be happy to answer any question you might have about the project or the position. Harel Shouval Professor Department of Neurobiology and Anatomy The University of Texas Medical School, Houston Director of the Neuroscience Graduate program Email: harel.shouval(a)gmail.com<mailto:harel.shouval@gmail.com> Web: https://med.uth.edu/nba/faculty/harel-shouval/

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POSTDOCTORAL FELLOWSHIP IN COMPUTATIONAL MODELING OF BRAIN NETWORKS at Stanford University
by Aarthi Padmanabhan 11 Jul '17

11 Jul '17

The Stanford Cognitive and Systems Neuroscience Laboratory invites applications for a postdoctoral fellowship in human brain network analysis and modeling. We seek candidates with strong research backgrounds in one or more of the following areas: resting-state and task-evoked fMRI connectivity, structural HARDI-based connectivity, neurophysiological modeling of brain networks, Bayesian modeling, machine learning, and deep neural networks. Candidates must have strong computational skills and a PhD in computational neuroscience, computer science, physics, biomedical engineering or related fields. This is an exciting opportunity to work on multiple NIH- and Stanford-funded projects using multimodal (fMRI, optogenetic, DTI, EEG) brain imaging techniques in multiple clinical populations and normative groups. The successful candidate will develop a vigorous research program that contributes to, and complements, ongoing research studies. The candidate will have access to state-of-the-art brain imaging and HPC/GPU facilities. Please email a CV, statement of research interests and relevant background, and names of three referees to Drs. Vinod Menon and Aarthi Padmanabhan at scsnl.stanford+postdoc(a)gmail.com<mailto:scsnl.stanford@gmail.com> Aarthi Padmanabhan, PhD Scientific Research Director Stanford Cognitive and Systems Neuroscience Laboratory Department of Psychiatry and Behavioral Sciences Stanford University School of Medicine

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Neuroscience Gateway Workshop at SFN 2017 meeting
by Ted Carnevale 11 Jul '17

11 Jul '17

Using the Neuroscience Gateway Portal for Parallel Simulations Saturday, Nov. 11 from 9 AM to noon at downtown Washington DC location. This workshop combines didactic presentations and hands-on instruction on how to use the Neuroscience Gateway Portal (NSG) for computationally intensive simulations and data analysis. NSG eliminates most technical and adminstrative barriers to using high performance computing resources, and even gives away free CPU time on parallel supercomputers. Software currently installed on NSG includes BluePyOpt, Brian, CARLsim, Freesurfer, GENESIS, MATLAB, MOOSE, NEST, NEURON, PyNN, and the Virtual Personalized Multimodal Connectome Pipeline. The registration deadline for this workshop is Friday Oct. 27, but you should sign up early because space is limited. See https://www.neuron.yale.edu/neuron/static/courses/nsg2017/nsg2017.html for more information and a link to the registration form. --Ted

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NEURON course at SFN 2017 meeting
by Ted Carnevale 11 Jul '17

11 Jul '17

Using NEURON to Model Cells and Networks Friday, Nov. 10 from 9 AM to 5 PM at a downtown Washington DC location. This course provides a practical introduction to building and using models of neurons and networks with NEURON. Covered topics include basic concepts, workflow for building and using models, speeding up simulations with parallel hardware from multicore personal computers to massively parallel supercomputers, using Python with NEURON, and modeling reactive diffusion with the RxD class. The registration deadline for this course is Friday Oct. 27, but you should sign up early because space is limited. See http://www.neuron.yale.edu/neuron/static/courses/dc2017/dc2017.html for more information and a link to the registration form. --Ted

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Announcing the workshop on cloud-based BCIs at the BCI Conference 2017
by Vinay Jayaram 11 Jul '17

11 Jul '17

Dear all, We are happy to announce to potential attendees of the 7th BCI Conference in September 2017 that Workshop 1 (Cloud-based BCIs: challenges and opportunities of home-use systems for big data collection) is now calling for abstracts about work on BCIs for home use. This workshop is intended to bring together the various subfields of the BCI community to focus on some of the most pressing issues in the field: Robust machine learning with large datasets, low-cost and robust hardware, and applications for use without expert assistance. We are also happy to confirm Dr. Tim Mullen (Qusp Neurotechnologies) and Prof. Brian Murphy (BrainWaveBank) as keynote speakers for our workshop. More information and the workshop schedule can be found here https://webdav.tuebingen.mpg.de/graz2017/. Interested parties are invited to submit a 200-word abstract about the work they would like to present either via the website or to cloudbci(a)tuebingen.mpg.de by 4 August. Looking forwards to seeing you in Graz, Vinay Jayaram -- Vinay Jayaram PhD Student Max Planck Institute for Intelligent Systems Spemannstrasse 34, 72076 Tübingen, Germany

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Two PI positions in Cognitive Neuroscience, University of Trento, Italy
by moritzwurm 11 Jul '17

11 Jul '17

Call for Expression of Interest for two Assistant Professor positions. More senior candidates will also be considered. *Cognitive Neuroimaging Principal Investigator, University of Trento, Neuroimaging Labs (LNiF), Center for Mind-Brain Sciences (CIMeC), Trento, Italy* The Center for Mind-Brain Sciences (CIMeC) at the University of Trento, Italy, invites expressions of interest from highly motivated scholars in view of the opening of two principal investigator positions at the level of assistant professor (3 years + potential 2 year extension). Candidates who have already a tenured position elsewhere would be considered directly for a tenure-track assistant professor/tenured associate professor. /Research Profile/ The ideal candidate should have an established track record of _research in any area of cognitive neuroimaging studies, preferably fMRI_. The successful candidates will work in the Neuroimaging Labs (LNiF: http://www.cimec.unitn.it/en/69/neuroimaging-labs-lnif) at the Center for Mind-Brain Sciences (CIMeC: http://web.unitn.it/en/cimec) They are expected to develop their own research program but also to interact actively with other CIMeC faculty using different methodologies to address various aspects of cognitive functioning. Knowledge of Italian is appreciated but not required. /Teaching/ The successful candidates are expected to contribute to the Center’s teaching mission at the PhD and MSc level. Instruction is in English. Successful candidates will negotiate the possibility of supervising PhD students who are fully funded by the University. The teaching duties at the MSc level vary depending on academic rank. Assistant professors are expected to teach 60 hrs/year, tenure-track assistant professors 90 hrs/year, tenured associate professors 120 hrs/year. UniTN and CIMeC The University of Trento consistently ranks as a top Italian university in both national Research Assessment Evaluations (RAE) and University Surveys.In the latest RAE the University of Trento as a whole ranks 1st among medium-sized universities. The CIMeC's goal is to foster cutting-edge research on cognition and its neural basis, and to support the dissemination of these findings internationally and within the local community. As an interdisciplinary research and teaching center, it draws on faculty from several departments, including Psychology and Cognitive Science, Linguistics and Philosophy, Physics, Mathematics, and Information Engineering and Computer Science. Current faculty members come from Italy, Germany, The Netherlands, Belgium, USA, Canada, Argentina, Israel, and the United Kingdom. Although a relatively small group, CIMeC faculty have won many competitive national and international grants, including 1 European Research Council (ERC) advanced grant, 1 ERC consolidator grant, 6 ERC starting grants, other European Framework grants, and highly competitive grants awarded by the local government. The Center has consistently been ranked the leading cognitive neuroscience research unit in Italy. It is part of the Erasmus Mundus European Master Program in Language and Communication Technologies. Expressions of interest in English should include a brief motivation letter and a Curriculum Vitae and should be addressed to Dr. Alfonso Caramazza (alfonso.caramazza(a)unitn.it) <mailto:alfonso.caramazza@unitn.it%29>, who chairs a committee that includes Drs. Mel Goodale and Alex Martin.

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PhD studentship: "The risk of unknowingly disclosing personal information through eye tracking and webcam technology"
by Durant, Szonya 11 Jul '17

11 Jul '17

Leverhulme Magna Carta Doctoral Scholarship Department of Psychology and Department of Computer Science, Royal Holloway, University of London Project: The risk of unknowingly disclosing personal information through eye tracking and webcam technology Supervisors: Dr Szonya Durant (Dept. of Psychology), Dr Dawn Watling (Dept. of Psychology) and Dr Zhiyuan Luo (Dept. of Computer Science) Applications are invited for a funded full-time studentship for doctoral research, Awarded under the Leverhulme Magna Carta Doctoral Centre starting in September 2017 (with the possibility of extending the start date until January 2018 at the very latest). The scholarship covers UK and European Union tuition fees and an annual stipend towards living expenses. The 2017/18 value of the stipend is £16,553. The Research Project This project will assess the risk of unknowingly disclosing personal information over social media, simply through how we move our eyes when interacting with or scanning social media. We aim to examine what personal information (e.g. age, sex, aspects of personality) can be determined from eye movement patterns whilst scanning social media using machine learning. This interdisciplinary PhD project draws on the fields of sensory neuroscience, in particular, the experimental study of eye movements and the latest cutting edge computer science developments in machine learning. The novelty of the proposed interdisciplinary approach promises to yield original insights that will expand the knowledge and understanding in both fields of study and have impact for our understanding of issues around internet privacy. This project is supervised by three experts in their field, the primary PhD supervisor (Dr Szonya Durant<https://pure.royalholloway.ac.uk/portal/en/persons/szonya-durant(64105598-7…>) and two co-supervisors (Dr Dawn Watling<https://pure.royalholloway.ac.uk/portal/en/persons/dawn-watling(70194d88-af…>and Dr Zhiyuan Luo<https://pure.royalholloway.ac.uk/portal/en/persons/zhiyuan-luo(cb78d990-b10…>). Both Dr Durant and Dr Watling are based in The Department of Psychology, which has an active and expanding postgraduate research community, is well-equipped for research. It was ranked 6th out of 82 UK Psychology Departments in the 2014 Research Excellence Framework (REF), with 93% of the research classified as world-leading or internationally excellent. Research in the Department spans a breadth of topics across psychological sciences and neuroscience and is supported by excellent facilities - further information on the research environment can be found here<https://www.royalholloway.ac.uk/psychology/research/home.aspx>. Dr Luo is based in the Department of Computer Science, one of the UK's leading centres for research into Computer Science - further information on the research environment can be found here<https://www.royalholloway.ac.uk/computerscience/research/home.aspx>. In the most recent Research Excellent Framework (REF 2014), it was ranked 11th in the UK for the quality of research output, with a third of publications recognised as world leading, and a further half internationally excellent (87% in total). Both departments are situated on a beautiful campus close to London. Applicants should ideally hold, or be predicted to achieve, a first class undergraduate degree or equivalent in Cognitive or Computer Sciences or related disciplines (minimum requirement: 2.1). An MSc in a Cognitive or Computer Sciences related subject is desirable but not essential. The ideal candidate will have strong skills in computer programming and data analysis. Eye tracking and experimental design experience would be advantageous. The Scholarship The scholarship will fund a full-time PhD for three years, during which time a full academic training programme will be provided. The successful candidate will be engaged in all aspects of the research project, including engaging with and disseminating findings to external stakeholders. The successful candidate will be expected to contribute to the activities of the Magna Carta Doctoral Centre as well as the postgraduate research community in the Department of Psychology including contributing to teaching. For further details about the Leverhulme Magna Carta Doctoral Centre, please see: https://www.royalholloway.ac.uk/iquad/news/articles/leverhulmemagnacartadoc… https://www.royalholloway.ac.uk/studyhere/researchdegrees/feesandfunding/le… Informal enquiries about the project should be directed to: szonya.durant(a)rhul.ac.uk<mailto:szonya.durant@rhul.ac.uk>. Fulldetails on how to make an application are shown on our Departmental Website<https://www.royalholloway.ac.uk/psychology/prospectivestudents/postgraduate…>(select tab "3. Leverhulme Magna Carta Studentships") and in the College Webpages<https://www.royalholloway.ac.uk/studyhere/researchdegrees/applying/applicat…>. For further details on the application process please contact: Sharon Clutterbuck on psyoffice(a)rhul.ac.uk<mailto:psyoffice@rhul.ac.uk>. Closing date: 5pm on Tuesday 1st August 2017 (may be extended if not enough applications are received for the September start date) Interview dates: 7-18 August (can be flexible around existing commitments) ********************************************************************** Szonya Durant Department of Psychology Royal Holloway, University of London Egham TW20 0EX 01784 276522

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2 PhD in computational cognitive neuroscience / comp linguistics, Uni Birmingham, UK
by Uta Noppeney 11 Jul '17

11 Jul '17

The Computational Cognitive Neuroimaging Group at the University of Birmingham, UK, is seeking two enthusiastic PhD candidates with strong analytical and quantitative abilities for the projects: 1. Robust audiovisual speech recognition in man and machine https://www.findaphd.com/search/ProjectDetails.aspx?PJID=87556 2. Who does what to whom - Syntactic parsing in man and machine https://www.findaphd.com/search/ProjectDetails.aspx?PJID=87595 Applicants should have a background in computer science, neuroscience, computational linguistics, psychology, physics or related areas. Prior experience in statistical analysis and/or machine learning would be an advantage. The PhD positions are open to UK and EU nationals. A full 4 year studentship award comprises of an annual stipend at £14,553 for 2017/18 (pro rota for part-time) and full payment of tuition fees at UK/EU level of £4,195 in 2017/18. Application deadline 28th July 2017. For further information, please see http://www.birmingham.ac.uk/postgraduate/pgr/epsrc-studentships/index.aspx, links above or email Prof Uta Noppeney (U.Noppeney(a)bham.ac.uk)

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Job position: PhD / Post-Doc researcher: Deep-Learning and EEG/ECG
by Martijn Arns 11 Jul '17

11 Jul '17

Dear colleagues, We have a vacancy for a PhD or Post-Doc researcher with a focus on applying and developing Deep Learning on EEG and ECG data. See below application text and also: https://www.brainclinics.com/vacature Feel free to distribute with interested colleagues. Research Institute Brainclinics is specialized in applied neuroscience with a focus on mood, concentration, and sleep problems as often seen in psychiatric disorders such as depression, ADHD, OCD, and insomnia. Furthermore, Brainclinics is specialized in research into neuromodulation techniques such as rTMS, tDCS and neurofeedback, personalized medicine, Research Domain Criteria (RDoC), chronobiology, sleep and the circadian system. Within our team we are currently looking for a PhD-candidate or Post-Doc Researcher that will focus on developing and evaluating Deep-Learning techniques applied to psychophysiological data such as EEG and ECG, to extract new knowledge from large datasets to foster the RDoC and personalized medicine approaches we investigate. As PhD-candidate/Post-Doc at Brainclinics, you will work in a varied research team consisting of several PhD-candidates as well as senior researchers. You will contribute to innovation in EEG/ECG analysis techniques, support current PhD-candidates with your technical skills, and develop your own research line focusing on Deep-Learning techniques applied to EEG/ECG. To be eligible for application, you need to have demonstrable experience with the techniques listed below. Especially experience with Deep-Learning techniques is a requirement. We expect: • A Master’s degree and/or PhD in a relevant discipline, e.g., (cognitive) neuroscience, physics etc. • Scientific ambition and drive • Knowledge of python and one more higher programming language (e.g. C#) • Knowledge in matrix computation (e.g. MATLAB) • Knowledge of AI-concepts • Knowledge of time series computation • Accented knowledge of Deep learning techniques with net architectures and layer structures such as convolutional layers and LSTM layers • Experience with neuropsychiatric disorders We offer: • A professional, efficient and innovative research team • A minimum contract for 32 hrs, with possible extension to 40 hrs. • A salary in line with the University CAO Apply If you’re interested in this position and you would like to apply, please send your motivation with CV and photo to Dr. Martijn Arns: martijn(a)brainclinics.com<mailto:martijn@brainclinics.com> Only applications that meet the criteria above will be evaluated. Closing date for this application is August 21st, 2017. Kind regards, Martijn Arns, PhD Research Institute Brainclinics Utrecht University Dept. of Experimental Psychology Twitter: @Brainclinics Bijleveldsingel 34 6524 AD Nijmegen The Netherlands Tel: +31(0)24-7503505 GSM: +31 (0)6-48177919 E-mail: martijn(a)brainclinics.com<mailto:martijn@brainclinics.com> URL: www.brainclinics.com<http://www.brainclinics.com/>

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Tenure track and mid-career positions at ELSC
by Yoram Burak 11 Jul '17

11 Jul '17

Please see the two ads below, for faculty positions at the Edmond and Lily Safra Center for Brain Sciences. The application deadline for the searches is September 1, 2017. --- *Tenure Track Positions at ELSC* Following the recent inauguration of the new home <https://elsc.huji.ac.il/index.php?q=building> for the Edmond and Lily Safra Center for Brain Sciences (ELSC) <https://elsc.huji.ac.il/>, we are offering tenure-track positions at the lecturer and senior lecturer levels (roughly equivalent to assistant professor level). We are looking for excellent *early-stage scientists* who aspire to establish active innovative and interdisciplinary research programs *in neuroscience*. *ELSC builds upon Hebrew University’s <http://new.huji.ac.il/en> record of excellence and innovation in its multidisciplinary approach to brain sciences. * *ELSC provides a thriving interface between theoretical and experimental neuroscience across levels.* We offer: ü State-of-the-art, individually-designed laboratories and research facilities ü Competitive start-up funding ü Top ranking Ph.D. interdisciplinary program ü Ph.D. and post-doc fellowships ü State-of-the-art central research facilities ü Outstanding academic milieu *We seek to recruit scientists in the following areas:* 1. Theoretical and computational neuroscience 2. Cognitive neuroscience & human brain imaging 3. Neural circuits and behavior 4. System neuroscience in NHP 5. Molecular neuroscience *Application requirements:* ü Curriculum vitae ü A letter of intent ü An outline of future research and scientific vision ü Reference letters from the PhD advisor and Post-Doctoral host ü Three to five publications that best represent their research work ü Names of 2-3 additional colleagues willing to provide letters of reference *Applications Deadline: Sep 1, 2017* *Applications materials have to be submitted on-line <https://elsc.huji.ac.il/content/new-academic-tenure-track-positions-elsc>* *For further information, please contact Ms. Idit Nusilevitz:* *brain(a)elsc.huji.ac.il* <brain(a)elsc.huji.ac.il>*; phone: 972-2-6585375 <02-658-5375>* *Mid-Career Neuroscientists Positions at ELSC* Following the recent inauguration of the new home <https://elsc.huji.ac.il/index.php?q=building> for the Edmond and Lily Safra Center for Brain Sciences (ELSC) <https://elsc.huji.ac.il/>, we are looking for excellent *Mid-career neuroscientists* (associate or full professor) who aspire to establish active innovative and interdisciplinary research. *ELSC builds upon Hebrew University <http://new.huji.ac.il/en>’s record of excellence and innovation in its multidisciplinary approach to brain sciences.* *ELSC provides a thriving interface between theoretical and experimental neuroscience across levels.* We offer: ü Large, individually-designed *laboratories* ü State-of-the-art central *research facilities* ü Competitive *transition* and *start-up* funding ü Ph.D. and *post-doctoral fellowships* ü An Outstanding academic milieu *We seek to recruit mid-career scientists with a proven track record, in all areas of neuroscience.* To apply, please send *Curriculum Vitae* and a *Letter of Intent* directly to <elsc-director(a)elsc.huji.ac.il> *Applications Deadline: Sep 1, 2017* For information about ELSC see *http://elsc.huji.ac.il/ <http://elsc.huji.ac.il/>* For information please contact Ms. Idit Nusilevitz: brain(a)elsc.huji.ac.il; phone: 972-2-6585375 <02-658-5375>

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Subject:, postdoc position at Georgia Tech: intersection of visual modeling and computer vision
by Christopher Rozell 10 Jul '17

10 Jul '17

A postdoc position at the intersection of Computational Neuroscience, Machine Learning, and Computer Vision is available with the group of Christopher Rozell at the Georgia Institute of Technology (Atlanta, GA). We are looking for a highly motivated and creative individual who enjoys working in an exciting interdisciplinary research environment. The research project centers around modeling the visual perception of objects undergoing attribute changes. Applicants should hold a PhD in a related discipline with a strong research record. Experience in areas such as modeling of visual perception, manifold learning, and general computer vision are all positives. The position has significant flexibility and the lab is committed to the professional development of the members, making it valuable preparation for people who are interested in academic, industrial or entrepreneurial careers. The position has no mandatory teaching or administrative duties, but the successful candidate will take an active role in mentoring students and further developing the research program. Excellent (written and oral) communication skills in English, strong coding skills, and ability to work on an interdisciplinary team are all required. The start date is flexible but ideally would be as soon as possible. The position is initially for 12 months with the possibility of renewal. Compensation will be commensurate with relevant experience. Georgia Tech has competitive benefits (including comprehensive medical insurance) and is an equal opportunity employer. Georgia Tech's campus in the heart of midtown Atlanta, which is one of the fastest-growing metropolitan areas (and entrepreneurial communities) in the United States. Atlanta boasts a wide range of opportunities for recreation, culture, and easy access to domestic and international transportation. Candidates should send a CV, a statement of research experience and interests, expected date of availability, and the contact information for three references to Dr. Rozell at (crozell -at- gatech -dot- edu). Applications are currently being reviewed and will continue until the position is filled.

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3 Phd/PostDoc position PhD position Industrial Robotics and Design of Electronics Equipment - University of Cadiz (Spain).
by Arturo Morgado 10 Jul '17

10 Jul '17

University of Cadiz (Spain) are available 3 Phd/PostDoc position at the Applied Robotics Research Group to participate in R&D collaborative projects with companies. You can find details here: <http://vrteit.uca.es/convocatorias/personal-conv/programa-de-atraccion-de-t…> http://vrteit.uca.es/convocatorias/personal-conv/programa-de-atraccion-de-t… Doctorates with experience in the field of transference and innovation in Industrial Robotics and Design of Electronics Equipment. A minimum of 15-year seniority in their grade (Distinguished Researcher) is required for 1 of them (VTIT‐IDROB‐4 position). For the 2 remaining (ASCETI) the minimum applied is two years since the completion of the doctoral thesis (VTIT‐AROB‐13 and VITI‐ADEE‐17 positions). Candidates must speak Spanish and English. Contracts will have a duration of 4 years with a gross salary of 52000 EUR per year plus a yearly bonus of 3000 EUR, in the case of the young researcher (ASCETI), for reaching a minimum of objectives. In the case of the Distinguished Researcher, this amount will rise up to 100.000 EUR. The researchers object of the contract, will be part of a multidisciplinary team and will undertake industrial development, research and innovation projects for the University of Cádiz (Spain) in collaboration with companies of international scope in the area of Cadiz. Moreover, each researcher will be mentoring a doctoral candidate (who will hold a pre-doctoral contract) and will be his/her Thesis Director. The areas of work are as follows: Industrial Robotics and Design of Electronics Equipment. The period established for receiving application goes from 30th of June to 19th of July 2017. The incorporation of the researcher in the University of Cádiz is due in September 2017. Please, click on the following <http://www.uca.es/personal/portal.do?TR=C&IDR=288> http://www.uca.es/personal/portal.do?TR=C&IDR=288 in order to submit your application form. Any question don’t hesitate to contact us: <mailto:industrial.innovation@uca.es> industrial.innovation(a)uca.es and <mailto:arturo.morgado@uca.es> arturo.morgado(a)uca.es. Best regards. --------------------------------- Arturo Morgado Estévez. <mailto:arturo.morgado@uca.es> arturo.morgado(a)uca.es Head Applied Robotics Research Group. TEP-940. Department of Engineering in Automation, Electronics, Architecture and Computer Networks. Faculty of Engineering. University of Cadiz (Spain). Avenida de la Universidad de Cádiz, nº 10, CP 11519, Puerto Real (Cádiz), Spain.

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PhD position in Computational Neuroscience/Nonlinear Dynamics on synaptic plasticity - INRIA Sophia Antipolis France
by Romain Veltz 10 Jul '17

10 Jul '17

A PhD scholarship in mathematical and computational neuroscience on The modelling of excitatory synapses in healty / pathological condition is available at INRIA Sophia Antipolis <https://www.inria.fr/centre/sophia/>, within the Team MathNeuro <https://team.inria.fr/mathneuro/> in collaboration with Dr Marie's team at the Institut de Pharmacologie Moléculaire et Cellulaire (IPMC, Sophia Antipolis). This 3 year funded PhD scholarship starts in September 2017 or January 2018. Candidate The ideal candidate should have a background in nonlinear dynamics, stochastic analysis and computational neuroscience. He/she should also have strong ability to program in Python / C / Matlab / Julia. French is not a requirement if fluent in English, but willingness to learn would be beneficial. Applications Send CV, transcripts and contact informations of two persons we could reach for recommendation to romain.veltz(a)inria.fr <mailto:romain.veltz@inria.fr> and marie(a)ipmc.cnrs.fr <mailto:marie@ipmc.cnrs.fr>. Supervisors Dr Romain Veltz (INRIA) Dr Helene Marie (IPMC) Project description Synaptic plasticity is one of the fundamental phenomena which shape neural networks. It is thought to be the basis of our memory and learning capabilities. Synaptic plasticity have been modelled recently [1,2,3] but at a phenomenological level. It is for example quite difficult to link these model internal variables to the synapse biophysics. Another issue is noise. Whereas in many models, noise is added as cherry on top, it is in fact internally generated given the small number of synaptic constituants [4]. The project will focus on the development of a stochastic model of the postsynaptic side of an excitatory synapse, in healthy / Alzheimer conditions, which describes the behaviour of the first biochemical molecules targeted upon arrival of Glutamate. More precisely, the project will first aim at modelling the early phase plasticity (LTP, LTD, STDP) in light of recent experimental data [5,6] with aim to take into account data provided by Dr Marie's lab concerning deficient synapses observed in Alzheimer’s disease like conditions. The project will involve a mix of high performance scientific computation, nonlinear dynamics, stochastic analysis, and an enthusiasm for learning about plasticity mechanisms in general. References Clopath, Claudia, Lars Büsing, Eleni Vasilaki, et Wulfram Gerstner. « Connectivity reflects coding: a model of voltage-based STDP with homeostasis ». Nature Neuroscience 13, nᵒ 3 (mars 2010): 344‑52. doi:10.1038/nn.2479. Graupner, Michael, et Nicolas Brunel. « Calcium-Based Plasticity Model Explains Sensitivity of Synaptic Changes to Spike Pattern, Rate, and Dendritic Location ». Proceedings of the National Academy of Sciences, 22 février 2012. doi:10.1073/pnas.1109359109. Costa, Rui Ponte, Robert C. Froemke, P. Jesper Sjöström, et Mark CW van Rossum. « Unified Pre- and Postsynaptic Long-Term Plasticity Enables Reliable and Flexible Learning ». ELife 4 (26 août 2015): e09457. doi:10.7554/eLife.09457. Ribrault, Claire, Ken Sekimoto, et Antoine Triller. « From the Stochasticity of Molecular Processes to the Variability of Synaptic Transmission ». Nature Reviews Neuroscience 12, nᵒ 7 (juillet 2011): 375‑87. doi:10.1038/nrn3025. Fujii, Hajime, Masatoshi Inoue, Hiroyuki Okuno, Yoshikazu Sano, Sayaka Takemoto-Kimura, Kazuo Kitamura, Masanobu Kano, et Haruhiko Bito. « Nonlinear Decoding and Asymmetric Representation of Neuronal Input Information by CaMKIIα and Calcineurin ». Cell Reports 3, nᵒ 4 (25 avril 2013): 978‑87. doi:10.1016/j.celrep.2013.03.033. Tigaret, Cezar M., Valeria Olivo, Josef H.L.P. Sadowski, Michael C. Ashby, et Jack R. Mellor. « Coordinated activation of distinct Ca2+ sources and metabotropic glutamate receptors encodes Hebbian synaptic plasticity ». Nature Communications 7 (13 janvier 2016): 10289. doi:10.1038/ncomms10289.

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[call for papers] Entropy: special issue on "Information Theory in Neuroscience"
by Eugenio Piasini 10 Jul '17

10 Jul '17

(apologies for cross-posting) Dear all, The journal Entropy is currently running a Special Issue entitled "Information Theory in Neuroscience", that we believe could be of interest for the members of this list. As the ultimate information processing device, the brain naturally lends itself to be studied with information theory. Application of information theory to neuroscience has spurred the development of principled theories of brain function, has led to advances in the study of consciousness, and to the development of analytical techniques to crack the neural code, that is to unveil the language used by neurons to encode and process information. In particular, advances in experimental techniques enabling precise recording and manipulation of neural activity on a large scale now enable for the first time the precise formulation and the quantitative test of hypotheses about how the brain encodes and transmits across areas the information used for specific functions. This Special Issue emphasizes contributions on novel approaches in neuroscience using information theory, and on the development of new information theoretic results inspired by problems in neuroscience. Research work at the interface of neuroscience, Information Theory and other disciplines is also welcome. Deadline for manuscript submission: 1 December 2017 For more information: http://www.mdpi.com/journal/entropy/special_issues/neuro Eugenio Piasini and Stefano Panzeri, Italian Institute of Technology Guest Editors

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3 PhD/PostDoc positions in neuromorphic systems
by elisabetta chicca 07 Jul '17

07 Jul '17

Dear colleagues, 2 PhD/PostDoc positions are available at the Neuromorphic Behaving Systems group (https://www.cit-ec.de/en/nbs) Faculty of Technology and Center of Excellence Cognitive Interaction Technology at Bielefeld University. You can find details here: http://www.uni-bielefeld.de/Universitaet/Aktuelles/Stellenausschreibungen/ Anzeigen/Wiss/wiss17164_englisch.pdf Another PostDoc position is available at the Cognitronics and Sensor Systems Group (http://www.ks.cit-ec.uni-bielefeld.de, same affiliation as above) for a project in collaboration with the Neuromorphic Behaving Systems group. Unfortunately the call is written in German (see link below), but you can contact me (chicca(a)cit-ec.uni-bielefeld.de) if you are interested in details. http://www.uni-bielefeld.de/Universitaet/Aktuelles/Stellenausschreibungen/ Anzeigen/Wiss/wiss17151.pdf The deadline for all positions is July 19. Best regards, Elisabetta Chicca -- Prof. Dr. Elisabetta Chicca CITEC - Bielefeld University Inspiration 1 33619 Bielefeld - Germany Email: chicca(a)cit-ec.uni-bielefeld.de Tel.: +49 521 106-12043 Fax : +49 521 106-12348

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tDCS workshop with Frank Padberg and Andre Brunoni
by Martijn Arns 07 Jul '17

07 Jul '17

Dear colleagues, we are happy to announce a special 2-day tDCS workshop with Frank Padberg and Andre Brunoni to be held in Nijmegen, The Netherlands. This workshop is particularly suited to researcher, psychologists and psychiatrists interested in applying the technique of transcranial Direct Current Stimulation (tDCS), looking for a unique opportunity to learn and discuss its clinical application with highly regarded experts in the field. Professor Dr. Frank Padberg (Ludwig-Maximilians-University Munich) will offer expert insight into how tDCS can be applied in a range of psychiatrist disorders, followed by the state-of-the-art application of tDCS in Depression with Dr. Andre Brunoni (University of São Paulo, Ludwig-Maximilians-University Munich). Working closely with our guest presenters, participants wil gain an understanding of basic applications of tDCS to build up to advanced methods. Also see following link for more information and sign-up information: http://www.neurocaregroup.com/brunoni-padberg-tdcs-workshop-october-2017.ht… Kind regards, Martijn Arns, PhD Director / Researcher Research Institute Brainclinics Chief Scientific Officer neuroCare Group Twitter: @brainclinics / @neuroclinics Bijleveldsingel 34 6524 AD Nijmegen The Netherlands Tel: +31 24-7503505 GSM: +31 6-48177919 Fax: +31 24-8901447 E-mail: martijn(a)brainclinics.com<mailto:martijn@brainclinics.com> URL: www.brainclinics.com<http://www.brainclinics.com/>

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Computational Neuroscience Job at the Krembil Research Institute
by Frances Skinner 06 Jul '17

06 Jul '17

https://www.recruitingsite.com/csbsites/uhncareers/JobDescription.asp?SiteI… <https://www.recruitingsite.com/csbsites/uhncareers/JobDescription.asp?SiteI…> Job Posting #8045761 Position: Computational Neuroscience Research Scientist Site: Krembil Research Institute/Toronto Western Hospital Department: Research Reports to: Director Status: Permanent Full-time The Krembil Research Institute at the University Health Network in Toronto Canada invites applicants to apply for a Scientist position in the area of Computational Neuroscience. The ideal candidate will have a PhD in a relevant field, research expertise and experience in mathematical and computational modeling, and research interests that complement those of the Institute in neurobiology and neurodegeneration. Candidates whose research interests encompasses cellular, micro/macro circuits and/or large scale brain models, and who have collaborative experimental experience are especially encouraged. The successful candidate will have the ability to establish an independent, well-funded program and will be eligible for appointment at the appropriate level within the University of Toronto. The Krembil is one the principal research institutes of the University Health Network of academic teaching hospitals associated with the University of Toronto; the Krembil is also one of the largest research institutes in Canada focusing on human neurological disease from both a basic science and clinical research perspective. The University Health Network (UHN) is Canada's largest academic medical centre, comprising four major teaching hospitals. Qualified applicants must attach their letter of interest, research plan, resume PDF format to the online application and complete some initial screening questions. The search committee will begin to review applications in September with a potential start date in Winter 2018. Posted Date: June 22, 2017 Closing Date: Until filled UHN thanks all applicants, however, only those selected for an interview will be contacted. UHN is a respectful, caring, and inclusive workplace. We are committed to championing accessibility, diversity and equal opportunity. Requests for accommodation can be made at any stage of the recruitment process providing the applicant has met the Bona-fide requirements for the open position. Applicants need to make their requirements known when contacted.

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Summer school on Advanced Computational Neuroscience, Germany
by Alexander Schmidt 06 Jul '17

06 Jul '17

%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% Advanced COMPUTATIONAL NEUROSCIENCE Summer School in Göttingen, Germany “Neural circuit theories for primate cognition” September 02nd - 10th, 2017 *REGISTRATION **DEADLINE *Ju**ly**2**3**, 201**7**** %%%%%%%%%%%%%%%%%%%%%%%%%%%%%% Please, feel free to distribute this email to students and postdocs potentially interested in the school. The aCNS school within the Advanced Computational Neuroscience School in the Emotion-Cognition-Link-Series is a *9**-day intensive course* in *mathematical and computational neuroscience*. It offers an intensive pedagogy of advanced mathematical and computational tools to students working in computational neuroscience and already familiar with its interdisciplinary nature and is designed to qualify young researchers to push the frontiers of the field. The following researchers are in charge of the 4 two-day theoretical blocks and 4 evening lectures: * Nicolas Brunel <https://galton.uchicago.edu/%7Enbrunel/>, /University of Chicago/, Chicago, USA * Alexander Gail <https://www.uni-goettingen.de/en/57950.html>, /German Primate Center/, Göttingen, Germany * Raoul Memmesheimer <https://memmesheimer.net/>, /University of Bonn/, Bonn, Germany * John Beggs <http://www.indiana.edu/%7Eiubphys/faculty/jmbeggs.shtml>, /University of //Indiana/, Bloomington, USA * Julia Fischer <http://www.dpz.eu/en/unit/cognitive-ethology/about-us.html>, /German Primate Center/, Göttingen, Germany * Eckart Altenmüller <https://www.immm.hmtm-hannover.de/en/institute/people/eckart-altenmueller/>, /University for Music and Theater/, Hanover, Germany * Annekathrin Schacht <http://www.uni-goettingen.de/en/356202.html>, /University of Göttingen/, Göttingen, Germany * Georg Martius <https://is.tuebingen.mpg.de/person/gmartius>, /M//PI//for Intelligent Systems/, Tübingen, Germany The consecutive two day thematic blocks are dedicated to mathematical approaches to circuit dynamics. Each lecturer will give a self-contained introduction to a particular set of theoretical tools in a block of two morning lectures. In the afternoon, participants will work on problem sets designed to develop proficiency in both the mathematical and computational tools learned earlier that day. An additional set of evening ‘easy’ lectures will give the opportunity to discuss significant advances in the field. The course takes place at the Department of Nonlinear Dynamics of the Max-Planck Institute for Dynamics and Self-Organization, Göttingen. Registration fee is 200 €. Course language is English. Housing is provided by the school. Travel grants can be applied for. *Only 15 participants will accepted. We invite applicants to apply by filling out the application form at:* *www.bccn-goettingen.de* <http://www.bccn-goettingen.de/events/cns-course> *and have their reference letters submitted by *July 23, 2017*.* Best regards and looking forward to seeing you in Göttingen, B. Feulner, D. Regel, A. Schmidt and J. Wilting (local committee, PhD students) on behalf of the course directors Prof. F. Wolf and Prof. A. Schacht

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New Book: The Rewiring Brain
by Arjen van Ooyen 06 Jul '17

06 Jul '17

Dear colleagues, We would like to draw your attention to our recently published book: *The Rewiring Brain: A Computational Approach to Structural Plasticity in the Adult Brain*, van Ooyen, A, and Butz-Ostendorf, M, eds, Academic Press, June 2017. For more information (preview) and to order the book, go to https://www.elsevier.com/books/the-rewiring-brain/van- ooyen/978-0-12-803784-3 Also see https://anvooyen.home.xs4all.nl/papers/TheRewiringBrain.html *Description* The adult brain is not as hard-wired as traditionally thought. By modifying their small- or large-scale morphology, neurons can make new synaptic connections or break existing ones (structural plasticity). Structural changes accompany memory formation and learning, and are induced by neurogenesis, neurodegeneration and brain injury such as stroke. Exploring the role of structural plasticity in the brain can be greatly assisted by mathematical and computational models, as they enable us to bridge the gap between system-level dynamics and lower level cellular and molecular processes. However, most traditional neural network models have fixed neuronal morphologies and a static connectivity pattern, with plasticity merely arising from changes in the strength of existing synapses (synaptic plasticity). In *The Rewiring Brain*, the editors bring together, for the first time, contemporary modeling studies that investigate the implications of structural plasticity for brain function and pathology. Starting with an experimental background on structural plasticity in the adult brain, the book covers computational studies on homeostatic structural plasticity, the impact of structural plasticity on cognition and cortical connectivity, the interaction between synaptic and structural plasticity, neurogenesis-related structural plasticity, and structural plasticity in neurological disorders. Structural plasticity adds a whole new dimension to brain plasticity, and *The Rewiring Brain* shows how computational approaches may help to gain a better understanding of the full adaptive potential of the adult brain. The book is written for both computational and experimental neuroscientists. Key features: · Reviews the current state of knowledge of structural plasticity in the adult brain. · Gives a comprehensive overview of computational studies on structural plasticity · Provides insights into the potential driving forces of structural plasticity and the functional implications of structural plasticity for learning and memory · Serves as inspiration for developing novel treatment strategies for stimulating functional repair after brain damage *Book Contents* Editorial *Arjen van Ooyen and Markus Butz-Ostendorf* Section I. Experimental background 1. Structural plasticity and cortical connectivity *Vassilis Kehayas and Anthony Holtmaat* 2. Structural plasticity induced by adult neurogenesis *Gregory W. Kirschen, Kurt A. Sailor, and Shaoyu Ge* 3. Structural neural plasticity during stroke recovery *Kimberly Gerrow and Craig E. Brown* 4. Is lesion-induced synaptic rewiring driven by activity homeostasis? *Markus Butz-Ostendorf and Arjen van Ooyen* Section II. Homeostatic structural plasticity 5. Network formation through activity-dependent neurite outgrowth: a review of a simple model of homeostatic structural plasticity *Arjen van Ooyen* 6. Clustered arrangement of inhibitory neurons can lead to oscillatory dynamics in a model of activity-dependent structural plasticity *Rosanna C. Barnard, Istvan Z. Kiss, Simon F. Farmer, and Luc Berthouze* 7. A detailed model of homeostatic structural plasticity based on dendritic spine and axonal bouton dynamic *s**Markus Butz-Ostendorf and Arjen van Ooyen* 8. Critical periods emerge from homeostatic structural plasticity in a full-scale model of the developing cortical column *Sebastian Rinke, Mikael Naveau, Felix Wolf and Markus Butz-Ostendorf* 9. Lesion-induced dendritic remodeling as a new mechanism of homeostatic structural plasticity in the adult brain *Steffen Platschek, Hermann Cuntz, Thomas Deller, and Peter Jedlicka* Section III. Structural plasticity and connectivity 10. The role of structural plasticity in producing nonrandom neural connectivity *Paul Miller* 11. Structural plasticity and the generation of bidirectional connectivity *Daniel Miner, Felix Z. Hoffmann, Florence Kleberg, and Jochen Triesch* 12. Spike timing-dependent structural plasticity of multicontact synaptic connections *Moritz Deger* 13. Selection of synaptic connections by wiring plasticity for robust learning by synaptic weight plasticity *Naoki Hiratani and Tomoki Fukai* Section IV. Structural plasticity and learning and memory 14. Within a spine's reach *Will DeBello and Karen Zito* 15. Impact of structural plasticity on memory capacity *Panagiotis Bozelos and Panayiota Poirazi* 16. Long-term information storage by the interaction of synaptic and structural plasticity *Michael Fauth, Florentin Wörgötter, and Christian Tetzlaff* 17. Impact of structural plasticity on memory formation and decline *Andreas Knoblauch* Section V. Neurogenesis-related structural plasticity 18. Adult neurogenesis and synaptic rewiring in the hippocampal dentate gyrus *Arjen van Ooyen, Gertraud Teuchert-Noodt, Keren Grafen, and Markus Butz-Ostendorf* 19. Modifications in network structure and excitability may drive differential activity dependent integration of granule cells into dentate gyrus circuits during normal and pathological adult neurogenesis *Quinton Skilling, James Roach, Alison L. Althaus, Geoffrey G. Murphy, Leonard Sander, and Michal Zochowski* 20. Computational perspectives on adult neurogenesis *Kristofor D. Carlson, Fredrick Rothganger, and James B. Aimone* 21. Restricted boltzmann machine models of hippocampal coding and neurogenesis *Rory Finnegan, Mark Shaw, and Suzanna Becker* Section VI. Structural plasticity and pathology 22. Modeling the impact of lesions in the brain *Sol Lim, Frances Hutchings, and Marcus Kaiser* 23. Network models of epilepsy-related pathological structural and functional alterations in the dentate gyrus *Ivan Raikov, Mark Plitt, and Ivan Soltesz* 24. Computational models of stroke recovery *Vittorio Sanguineti* 25. Neural plasticity in human brain connectivity: the effects of deep brain stimulation *Tim J. van Hartevelt, Henrique M. Fernandes, Angus B. A. Stevner, Gustavo Deco, and Morten L. Kringelbach*

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