- Comp-neuro - lists.cnsorg.org

Four faculty positions in applied statistics and stochastics
by Robert Rosenbaum Oct. 13, 2015

Oct. 13, 2015

The Department of Applied and Computational Mathematics and Statistics at the University of Notre Dame is seeking applications for four faculty positions, three in applied statistics and one in applied stochastics. Ideally, two of the statistics positions will be at the post-tenure level (associate or full professor) and the remainder will be tenure track (assistant professor). The department is highly supportive of collaborative research and encourages applications from computational neuroscientists. Feel free to contact me (Robert.Rosenbaum(a)nd.edu) with general questions about the department, etc. Applicants for the post-tenure job are invited to contact the chair, Andrew Sommese (sommese(a)nd.edu) The department will begin reviewing applications on Nov 1, so please apply soon if interested. For more information and to apply, see here for statistics: http://apply.interfolio.com/30595 and here for stochastics: http://apply.interfolio.com/30609 — Robert Rosenbaum Assistant Professor Department of Applied and Computational Mathematics and Statistics University of Notre Dame

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Postdoc position in Computational Brain Modelling at Ulster University UK
by McDaid, Liam Oct. 13, 2015

Oct. 13, 2015

Applications are invited for the post of Research Associate (RA) in Computational Brain Modelling (Ref: 1503308) based at the Intelligent Systems Research Center, Ulster University, UK. The RA post is for a 3½ year duration and is part of a collaborative project funded by the EPSRC: our partners are the Department of Electronics, University of York. The RA post holder will be part of a team that aims to develop a brain-inspired self-repairing algorithm and subsequently map this self-repairing algorithm to robotic hardware at the University of York. At Ulster we have previously shown that astrocyte cells interact with neurons to detect when a fault has occurred in the connections making up a network of neurons and how this interaction can oversee a repair strategy in the paper "On the Role of Astroglial Syncytia in Self-Repairing Spiking Neural Networks" (http://tinyurl.com/qbsusnn) The RA post will focus on the development of a computational model that captures the interactions between neurons and astrocytes, and hence the repair process, and will interact with other team members to translate the self-repair strategy to hardware computing systems and robot controllers based at the University of York. The RA post is fixed-term based at Ulster University and is active from November 2015 until March 2019. The closing date for applications is the 11th November 2015. Further information in relation to the post can be found on the following link: http://tinyurl.com/ocm8pvf or you can contact Prof. Liam McDaid at lj.mcdaid(a)ulster.ac.uk<mailto:lj.mcdaid@ulster.ac.uk> We prefer to issue and receive applications via our on-line recruitment website at www.ulster.ac.uk/jobs<http://www.ulster.ac.uk/jobs> Hard copy applications can be obtained by telephoning +4428 7012 4072 ________________________________ 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

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Postdoctoral position in cognitive auditory neuroscience at Imperial College London
by Tobias Reichenbach Oct. 12, 2015

Oct. 12, 2015

Applications are invited for a Research Associate (Postdoc) to work on an exciting project in auditory cognitive neuroscience at Imperial College London. The successful candidate will join the group of Tobias Reichenbach (http://www.bg.ic.ac.uk/research/reichenbach) The project involves collaboration with clinical collaborators at Imperial College, and is further embedded in the Centre for Neurotechnology at Imperial College (http://www3.imperial.ac.uk/neurotechnology) The project's goal is to develop experimental paradigms and associated data analytics to extract electrophysiological correlates from the brainstem and the cortex in response to speech. Electrophysiological responses will be obtained from auditory-brainstem recordings (ABR) and from electroencephalography (EEG). The developed methods will then be employed to compare differences in neural responses to speech in healthy people and in people with different cognitive impairments. Applicants should have a PhD in physical sciences, engineering, neuroscience or computing with experience in signal processing as well as neuroimaging. For an informal discussion please contact Dr Tobias Reichenbach (email: reichenbach(a)imperial.ac.uk <mailto:a.kedgley@imperial.ac.uk>; telephone: +44 (0)20 759 46370). Our preferred method of application is online via the Imperial College website at www.imperial.ac.uk/employment where you will find a job description and person specification for this post. Please select "Job Search", then enter the job title or vacancy reference number EN20150333FH into "Keywords". Complete and upload an application form as directed. Should you have any queries please contact Allan Nyunt at a.nyunt(a)imperial.ac.uk <mailto:a.nyunt@imperial.ac.uk> ------------------------------------------- Tobias Reichenbach Lecturer, Biophysics of Hearing Editor, Heliyon Department of Bioengineering Imperial College London South Kensington Campus SW7 2AZ London, UK http://www.bg.ic.ac.uk/research/reichenbach/

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v6.2 of NeuroMorpho.Org released 6 October, 2015
by NeuroMorpho Administrator Oct. 11, 2015

Oct. 11, 2015

Dear colleagues, We're pleased to announce the October 6, 2015 release of Version 6.2 of NeuroMorpho.Org<http://neuromorpho.org/>, including 2160 additional reconstructions from 21 new archives and intriguing species such as Bottlenose dolphin, Chimpanzee, Clouded leopard, Giraffe, Humpback whale, Locust, Manatee, Minke whale, Pouched lamprey, and Siberian tiger. As many as 58 papers were published using data downloaded from NeuroMorpho.Org in the first six month of 2015 alone. NeuroMorpho.Org Neuron Morphology Read more...<http://neuromorpho.org/> The repository now contains 34,082 neurons from 165 labs<http://neuromorpho.org/neuroMorpho/about.jsp>. Please visit the What's new page<http://neuromorpho.org/neuroMorpho/WIN.jsp> for details on the added data and other updates. The literature coverage database was also updated to include publications through September 2015. We are continuously grateful to all the data contributors<http://neuromorpho.org/neuroMorpho/acknowl.jsp#DC> who freely share their hard-won tracings with the community. We appreciate any and all feedback and comments. Our apologies if you receive multiple versions of this message through x-listing. Sincerely, The NeuroMorpho.Org team<http://neuromorpho.org/neuroMorpho/acknowl.jsp#NMO>

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6th Annual GDR Multielectrode meeting: Registration and submissions are open!
by Blaise Yvert Oct. 10, 2015

Oct. 10, 2015

Dear Colleagues, It is our pleasure to announce that registration and abstract submissions are now open for the 6th annual meeting of the GDR Multielectrode that will be held in Grenoble (minischool) and Autrans (conference) on January 5-8, 2016. You will find the preliminary program and all useful informations and instructions to register at the following address : http://gdr2904grenoble.sciencesconf.org/ Please don't hesitate to spread the word around you to make this event as rich as possible. Several companies will present their products, and we particularly thank Blackrock Microsystems, Atlas Neuroengineering, and g.Tec for their strong support. Important notes: 1) The language of the meeting is English 2) Deadline for registration and abstract submission is November 15, 2015 3) There are mostly double rooms and only extremely few single rooms available onsite for participant housing, so please choose a single room only if really necessary - thank you so much for your understanding! 4) We plan to organize several practical hands-on sessions in parallel for the second half of the minischool, please let us know which one you would be interested in. 5) This year, a special demo session will be held on Friday 8 afternoon, so you can submit an abstract for this session if you would like to demo a software or a hardware 6) Bus transportation will be available to go from Grenoble to Autrans and back. We plan to propose 2 buses to go back to Grenoble on Friday afternoon at two different times, please specify which one you would prefer. 7) Finally, we have planed a time for an outdoor activityon Thursday 6th afternoon (snow equipment provided). If we have snow, a biathlon initiative will be organized. Please let us know if you would be interested to participate, given that it will be free and will not require any special skiing skills, so everyone can participate! Looking forward welcoming you in the Alps, Best regards, Blaise on behalf of the whole organizing committee. -- Blaise Yvert. Inserm Research Director Clinatec Laboratory UA01 Biomedical Research Center Edmond J Safra CEA-INSERM-UJF-CHU Grenoble Minatec Campus 17 rue des Martyrs 38054 Grenoble cedex 09 Tel. +33 4 38 78 91 38 / +33 6 32 88 75 90 Fax. +33 4 38 78 53 55 http://www.clinatec.fr (under construction)

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Physics of Neural Systems at the 2016 March Meeting of American Physical Society, Baltimore, MD, March 14-18
by Nemenman, Ilya Oct. 10, 2015

Oct. 10, 2015

Dear Colleagues: The 2016 American Physical Society (APS) March meeting (March 14-18, 2016; Baltimore, MD) will again emphasize “Physics of Neural Systems” in its program. We expect multiple sessions resulting from this focus topic, addressing recent advances in understanding of the structure and the dynamics of neural circuits responsible for sensing, memory, and motor output. Invited and Focus sessions of relevance to neuroscientists will include, among others, 1. Large Scale Neuroscience Projects 2. Theoretical physics and networks of real neurons 3. Inference in Biophysics 4. Principles of Cell-to-Cell communication 5. Brain Morphology and Mechanics: From Cortex Folding to Neuronal Growth to Compression Stiffening 6. Robophysics: physics meets robotics 7. Physics of sensorimotor neural circuits 8. Neural control of behavior 9. Maximum entropy models: a promising link between statistical physics, inference, and biology 10. Critical transitions in biological systems Some of the invited speakers include: Vijay Balasubramanian (U Pennsylvania) William Bialek (Princeton U) Gwyneth Card (Janelia Farm) David van Essen (Washington U, St. Loius) Adrienne Fairhall (U Washington) Surya Ganguli (Stanford U) Mark Goldman (UC Davis) Alexei Koulakov (CSHL) Thierry Mora (ENS) Stephanie Palmer (U Chicago) Hanchuan Peng (Allen Institute) Terry Sejnowski (Salk Institute) Naftali Tishby (Hebrew U) Gasper Tkacik (IST Austria) and others. We are now accepting abstract submissions for contributed talks on a broad range of topics on the intersection of physics and neuroscience, such as quantitative experimental protocols, modeling of neural dynamics, analysis of collective computation in neural circuits, and others. March meeting abstract submission website: http://www.aps.org/meetings/march/scientific/index.cfm Abstract submission deadline: November 6, 2015, 5:00pm EST APS March meeting is the largest physics meeting in the world, attracting about 10,000 physicists. At the meeting, the APS Division of Biological Physics supports one of the largest and scientifically diverse programs on the interface of physics and biology, from molecular and cellular biophysics, to computational neuroscience and population dynamics, featuring typically more than 600 talks every year. We are looking forward to receiving your abstracts. If you have any questions about neuroscience at the March Meeting, please don’t hesitate to contact Ilya Nemenman (ilya.nemenman(a)emory.edu) Sincerely, Ilya Nemenman Associate Professor of Physics and Biology Emory University, Atlanta, GA and Chair-elect, Division of Biological Physics (DBIO) American Physical Society (APS) http://nemenmanlab.org ________________________________ This e-mail message (including any attachments) is for the sole use of the intended recipient(s) and may contain confidential and privileged information. If the reader of this message is not the intended recipient, you are hereby notified that any dissemination, distribution or copying of this message (including any attachments) is strictly prohibited. If you have received this message in error, please contact the sender by reply e-mail message and destroy all copies of the original message (including attachments).

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Senior Research Technician Post (EEG) at University of Cambridge
by Dr V Leong Oct. 9, 2015

Oct. 9, 2015

------------------------------------------- Senior Research Technician (Part-Time, EEG) ------------------------------------------- An exciting opportunity has arisen for a Senior Research Technician to be part of an ambitious and pioneering experimental research programme on mother-infant brain-to-brain synchrony. You will join a dynamic new infant neuroimaging lab headed by Dr Victoria Leong in the Department of Psychology, University of Cambridge. Your primary responsibility will be to set up, optimise and maintain a new state-of-the art, mobile (wireless) dual-EEG system for simultaneous neuroimaging of adults and infants in a naturalistic setting. You will provide day-to-day technical support to members of the research team, and you will also be required to provide assistance during EEG experimental sessions with mothers and infants. The lab has a strong focus on methods development and new technologies. Consequently, we seek an individual with a sound technical background and attention to detail, as well as an interest in methodological innovation. You will have at least an HNC or equivalent level qualification in a biomedical or engineering subject. Previous experience of working in a biomedical or biosciences laboratory is preferred. Practical experience of using EEG with adults and/or children is highly desired. The salary for this post will be £27,057-£32,277 pro rata, and appointment will be on a part-time basis (0.5 FTE) for 1.5 years. The closing date for applications is 1 Nov 2015. Interviews will be held during the week of 9 Nov 2015, and the post will begin on 4th Jan 2016 or as soon as possible thereafter. Informal enquiries may be directed to Dr Victoria Leong (vvec2(a)cam.ac.uk) For more details or to apply, please refer to http://www.jobs.cam.ac.uk/job/8329/

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Postdoctoral Position in Computational Neuroscience at Indiana University
by Eduardo J. Izquierdo Oct. 9, 2015

Oct. 9, 2015

Dear Colleagues, We are happy to announce that we are in the process of hiring a postdoctoral scientist interested in developing and analyzing integrated neuromechanical models of behavior at Indiana University. We would greatly appreciate if you could forward the attached ad to anyone who might be interested, or suggest suitable candidates. Sincerely, Eduardo J. Izquierdo Randall D. Beer Postdoctoral Position in Computational Neuroscience, Indiana University, Bloomington Applications are invited for a post-doctoral in Computational Neuroscience. The position will be available in Spring 2016, but the starting date is flexible. The initial appointment will be for one year, with the possibility of renewal for a second year. The successful candidate will be working with Professors Eduardo Izquierdo and Randall Beer to construct and analyze integrated neuromechanical models of behavior in the nematode worm C. elegans. The ideal candidate will have completed their doctoral studies, and should have expertise in modeling and computational neuroscience. Experience in parameter optimization algorithms, dynamical systems theory, and information theory would be preferred but not necessary. Strongest consideration will be given to applications received before December 31, 2015; however, applications will be considered until the position is filled. Interested candidates should review the application requirements and submit their applications at https://indiana.peopleadmin.com/postings/1962. Questions regarding the position can be directed to Professors Eduardo Izquierdo or Randall Beer at Cognitive Science Program, Indiana University, 1900 East 10th St., 819 Eigenmann, Bloomington, Indiana 47406-7512 or, by email, edizquie(a)indiana.edu or rdbeer(a)indiana.edu. Indiana University is an equal employment and affirmative action employer and a provider of ADA services. All qualified applicants will receive consideration for employment without regard to age, ethnicity, color, race, religion, sex, sexual orientation or identity, national origin, disability status or protected veteran status. Applications from women and minority group members are especially encouraged.

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Three faculty positions in Computational/Theoretical Neuroscience at the University of Texas at Austin
by Ila Fiete Oct. 9, 2015

Oct. 9, 2015

--------------------------------------------------------------------------------------- Three faculty positions in Computational/Theoretical Neuroscience at the University of Texas at Austin --------------------------------------------------------------------------------------- Announcing three tenure-track faculty positions in Computational and Theoretical Neuroscience and related fields at the University of Texas at Austin. The first position will be joint between the Departments of Neuroscience and Mathematics, the second will be joint between Neuroscience and Computer Science, and the third will be in the Department of Psychology. Please see the advertisements below for more details about the positions and how to apply. Applications are currently being accepted. Please disseminate this announcement broadly and please encourage colleagues ready to begin independent faculty positions to apply. ------------------------------------- ***Faculty Position in Computational/Theoretical Neuroscience and Mathematics* The Departments of Neuroscience and Mathematics at the University of Texas at Austin are currently inviting applications for a full-time tenure-track appointment at the Assistant Professor level. We seek a creative and original thinker in mathematical neuroscience. Areas of interest include but are not limited to dynamical models of networks and circuits; statistical methods in neuroscience; computational algebraic topology applied to neural systems; neural network theory; stochastic analysis of neural dynamics; probabilistic combinatorics; coding and information theory of neural systems; data analytics and machine learning approaches. This search is part of a cluster of planned faculty hires in Computational and Theoretical Neuroscience at the University of Texas at Austin. The successful candidate will lead a vigorous program of extramurally funded independent research and contribute to an environment of diversity in higher education through research, teaching, and service. She or he will have joint membership in both departments and the option to join various multi-disciplinary research centers on campus. *Applicant Instructions: *Interested applicants with a Ph.D. or equivalent, two or more years of post-graduate experience, and a record of research excellence in mathematical neuroscienceshould submit 1) a letter of interest, 2) a current curriculum vita, 3) three key scholarly publications, 4) a statement of research interests and vision, and 5) a teaching statement with evidence of excellence in teaching to <https://www.mathjobs.org/jobs/jobs/7538>https://www.mathjobs.org/jobs/jobs/7538. In addition, applicants must arrange to have at least three letters of reference submitted directly to the same website. Applications will be reviewed starting November 5, 2015, and will continue to be reviewed until the position is filled. Women and minorities are especially encouraged to apply. UT Austin is responsive to the needs of dual career couples and espouses family-friendly policies (http://www.utexas.edu/provost/policies/family/) Inquires related to this search may be directed to Kathleen Pantalion (<mailto:kpantalion@mail.clm.utexas.edu>kpantalion(a)mail.clm.utexas.edu) Ila Fiete (<mailto:ilafiete@mail.clm.utexas.edu>ilafiete(a)mail.clm.utexas.edu) or Bill Beckner (<mailto:beckner@math.utexas.edu>beckner(a)math.utexas.edu) ------------------------------------- *Faculty Position in Computational/Theoretical Neuroscience and Computer Science* ** The Departments of Neuroscience and Computer Science at the University of Texas at Austin are currently inviting applications for a full-time appointment at the Assistant Professor level. We seek a leader in computational and theoretical neuroscience. Areas of interest include, but are not limited to: graph and network theory of neural networks; information and complexity theory in neural systems; computational modeling, computational geometry, the theory of stochastic processes, and coding theory applied to neuroscience; statistics, data mining, machine learning, graphical modeling androbotics applied to or inspired by neuroscience. This search is part of a cluster of planned faculty hires in Computational and Theoretical Neuroscience at the University of Texas at Austin. The successful candidate will lead an outstanding program of extramurally funded independent research and contribute to an environment of diversity in higher education through research, teaching, and service. She or he will have joint membership in both departments and the option to join various multi-disciplinary research centers on campus. *Applicant Instructions: *Interested applicants with a Ph.D. or equivalent, two or more years of post-graduate experience, and a record of research excellence in computational and theoretical neuroscienceshould submit 1) a letter of interest, 2) a curriculum vita, 3) three key scholarly publications, 4) a statement of research interests and vision, and 5) a teaching statement with evidence of excellence in teaching. In addition, applicants must arrange for at least three letters of reference. To submit your application, go to <http://services.cs.utexas.edu/recruit/faculty/applicant/>http://services.cs.utexas.edu/recruit/faculty/applicant/. Applications will be reviewed starting November 5, 2015, and will continue to be reviewed until the position is filled. Women and minorities are especially encouraged to apply. UT Austin is responsive to the needs of dual career couples and espouses family-friendly policies (<http://www.utexas.edu/provost/policies/family/>http://www.utexas.edu/provost/policies/family/) Inquiries about the application may be directed to faculty-search(a)cs.utexas.edu <mailto:faculty-search@cs.utexas.edu>, or you may contact Kathleen Pantalion (<mailto:kpantalion@mail.clm.utexas.edu>kpantalion(a)mail.clm.utexas.edu) Ila Fiete (<mailto:ilafiete@mail.clm.utexas.edu>ilafiete(a)mail.clm.utexas.edu) or William Press (<mailto:wpress@cs.utexas.edu>wpress(a)cs.utexas.edu) ------------------------------------- *Faculty Position in the Computational Neuroscience of Perception and/or Action* The Center for Perceptual Systems at The University of Texas at Austin is currently inviting applications for a full-time appointment at the Assistant Professor level. The expected employment date is September 1, 2016. We are particularly interested in candidates who will be able to establish a strong research program in the computational and experimental science of perception or perception and action. Candidates must have a Ph.D. or equivalent from an accredited institution and a demonstrated ability to pursue an independent research program. The successful candidate will hold an appointment in an appropriate university department (e.g., Psychology, Neuroscience, Computer Science, Integrative Biology), will be expected to develop and maintain an extramurally funded research program, will be expected to participate in teaching activities at both the graduate and undergraduate levels, and will exhibit a commitment to service. For more information about the Center for Perceptual Systems see http://www.utexas.edu/cola/centers/cps/. (FRD: 6267) *Applicant Instructions:* Interested applicants should submit a letter of interest, current curriculum vita, representative scholarly publications, statement of research interests, evidence of excellence in teaching to: apply.interfolio.com/30070. You should also have a minimum of three referees submit letters of recommendation to: apply.interfolio.com/30070. Applications will be considered beginning November 1, 2015 and will continue to be reviewed until the position has been filled. Proof of conferred degree and a background check will be conducted on selected applicants. Position funding is pending final budgetary approval. Questions can be directed to the chair of the search committee, Dr. Wilson Geisler at w.geisler(a)utexas.edu. The University of Texas at Austin and the Department of Psychology strongly value multiculturalism and diversity.** -- Ila Fiete Associate Professor Department of Neuroscience | Center for Learning and Memory The University of Texas at Austin http://clm.utexas.edu/fietelab/

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Joint Harvard-IIT postdoctoral position in computational neuroscience (Harvey and Panzeri Labs)
by Stefano Panzeri Oct. 9, 2015

Oct. 9, 2015

Dear all, We will very soon open a new postdoctoral position in computational neuroscience in collaboration between the labs of Chris Harvey at Harvard Medical School (Boston) and of Stefano Panzeri at the Italian Institute of Technology (Rovereto, Italy). The post will be available from beginning of 2016 and is expected to be filled within the next couple of months. This postdoctoral position will be to work on neural population coding. The successful candidate will develop new analytical methods to study how populations of neurons encode sensory information and how this information is used to produce decisions. The candidate will apply these methods to large-scale recordings of neurons in sensory areas and posterior parietal cortex using calcium imaging methods in behaving rodents that navigate in a virtual reality environment. The successful candidate will work in Chris Harvey’s Lab at Harvard ( http://harveylab.hms.harvard.edu) and will have the opportunity to visit Panzeri’s lab (http://www.iit.it/en/people/stefano-panzeri.html) on a regular basis for scientific collaborations. Interested applicants should contact both Chris Harvey ( harvey(a)hms.harvard.edu) and Stefano Panzeri (stefano.panzeri(a)iit.it) by email, emailing their CV with the inquiry. Chris Harvey will be willing to meet prospective candidates at the SFN conference. For recent papers relevant to this postdoctoral opportunity, applicants are invited to consult the following articles: Harvey, C.D. et al. (2012) Choice-specific sequences in parietal cortex during a virtual-navigation decision task. Nature 484, 62–68 Zuo Y, et al (2015) Spike timing and spike rate make complementary contributions to perceptual decisions in rat S1 and S2 cortex. Current Biology 25: 357-363 Panzeri, S, et al (2015) Neural population coding: combining insights from microscopic and mass signals, Trends in Cognitive Sciences 19: 162-172 Regards, Chris Harvey and Stefano Panzeri harvey(a)hms.harvard.edu stefano.panzeri(a)iit.it

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Postdoctoral Research Fellow - Magnetoencephalographic imaging of dissociative anaesthetic action
by David Liley Oct. 9, 2015

Oct. 9, 2015

Postdoctoral Research Fellow - Magnetoencephalographic imaging of dissociative anaesthetic action The Brain Dynamics Unit within the Brain and Psychological Research Centre at Swinburne University of Technology, in collaboration with the Universities of Michigan, Pennsylvania and Washington in St Louis, and supported financially by the James S McDonnell Foundation, is looking for a motivated and capable Postdoctoral Research Fellow to work on the functional neuroimaging of anaesthetic action. The planned project, to be performed in collaboration with physician anaesthesiologists, will involve the administration of the dissociative anaesthetic agents xenon (a noble gas) and nitrous oxide ('laughing gas') to healthy participants while simultaneous MEG and EEG is recorded. The induced changes in the functional architecture of the recorded electromagnetic activity will then be characterised using a range of existing and to be developed information theoretic, graph theoretic and non-linear methods. Attempts to account for any induced changes in terms of mean field/mass action models of brain electrical activity will also be investigated. The dissociative anaesthetic agents are of particular interest because they are reported to increase activity in the brain in addition to targeting glutamatergic neurotransmitter systems implicated in the pathogenesis of a number of psychiatric and neurological disorders. The position is intended for someone with substantial experience in recording MEG and the attendant source level analysis techniques (minimum norm, beamforming) in addition to possessing the requisite experience in existing and emerging methods used to estimate functional and effective brain connectivities from MEG and EEG data. Interested applicants should have a strong background in any of the following disciplines: theoretical physics, mathematics, biomedical or electrical engineering or quantitative biology. A first class honours degree or equivalent is required with proficiency in more than one of the following: C, Fortran, Python or Matlab in addition to substantial working knowledge of one or more of the following: FieldTrip, MNE, NutMEG, EEGlab, Brainstorm or SPM. Researchers in the unit, led by Prof David Liley, have developed a physiologically motivated theory of the dynamical genesis of the electroencephalogram (EEG). The model accounts for the rhythms of the human EEG and predicts their alteration by a range of pharmaceutical agents, in particular that of anaesthetic and sedative agents. Numerical solutions of the model's coupled set of non-linear partial differential equations have revealed spatio-temporal structures similar to those observed in experiment. It is hoped that this model can contribute to our understanding of how anaesthetic agents modulate brain activity. The Brain Dynamics group is part of the Brain and Psychological Sciences Research Centre (BPsyC), a vibrant, multi-disciplinary team of researchers whose expertise spans several different fields that include physics, psychology, psychophysiology, biophysics and the neurosciences. The BPsyC has among the most comprehensive suite of functional neuroimaging facilities available in Australia. These facilities include a 306 channel Elekta TRIUX MEG system, a Siemens 3T TIM Trio MRI and multiple high density EEG systems. Initial appointment will be for a period of 3 years at a salary level of no less than A6 (currently AUD 76,531) plus 17% superannuation. Interested applicants should email Prof. David T. J. Liley at dliley(at)swin.edu.au. Prof David T. J. Liley Brain Dynamics Brain and Psychological Sciences Research Centre Swinburne University of Technology Burwood Road Hawthorn 3122 Victoria Australia --------------------------- Prof David Liley Brain and Psychological Sciences Research Centre Swinburne University of Technology P.O. Box 218 Hawthorn VIC 3122 Australia ph: +61 3 9214 8812<tel:%2B61%203%209214%208812>

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Post doc research staff positions at HRL Laboratories in Malibu, CA
by Pilly, Praveen K Oct. 9, 2015

Oct. 9, 2015

The Information and Systems Sciences Laboratory (ISSL) at HRL Laboratories (www.hrl.com<http://www.hrl.com>) is looking for two exceptional postdocs to join a world-class team aiming to build revolutionary non-invasive stimulation systems that can accelerate skill acquisition and boost learning and memory for the general population. Successful candidates will work alongside leading scientists and engineers across the US and Europe. This project will be a very collaborative and inter-disciplinary effort. We are specifically looking for individuals with expertise in one or more of the following topics: neural statistical modeling, high-density EEG decoding, pattern recognition applied to brain/body signals, machine learning with very limited training data, closed-loop transcranial stimulation, brain-machine interfaces, and computational neuroscience. One individual will be tasked with developing, implementing, and validating real-time pattern recognition algorithms for decoding high-density EEG signals to inform non-invasive stimulation for memory enhancement. The other individual will be responsible for developing, implementing, and validating statistical and computational models that can interpret natural as well as stimulation-modulated brain activity at multiple time points to predict future behavioral performance in realistic memory tasks. Knowledge of declarative and/or procedural memory systems and sleep consolidation is desired, but not strictly required. Individuals with a keen interest in translating basic neuroscience research into real-world applications are especially encouraged to apply. These are post-doctoral positions with an initial appointment for one year and renewal contingent upon satisfactory performance. The Information and Systems Sciences Laboratory conducts groundbreaking research in three thrust areas: Complex Networks, Cyber-Physical Resilience and Brain-Machine Intelligence. We create new and innovative capabilities for diverse applications such as cyber-security, unmanned autonomous systems, human performance augmentation, big data analytics, intelligence, surveillance, and reconnaissance, and electronic warfare. The goal of our research in Brain-Machine Intelligence is to understand how humans process information and effectively interact with the environment to develop smarter autonomous systems, enhance human performance, and develop novel processing systems. Our research starts with the development of large-scale, neurobiologically and behaviorally faithful brain region models. We apply these models along with real-time measurements of brain activity (EEG, fMRI, fNIRS) to create advanced brain-computer interfaces, human decision aids, and neurostimulation-based enhanced training systems. We also use our models to develop novel, brain-inspired sensor exploitation, machine learning, and control algorithms, and to develop low size, weight and power brain-based processing hardware for resilient autonomous systems, dexterous robots, and threat warning applications. HRL offers a competitive salary and benefits package, a small company atmosphere, and an ideal work location overlooking the Pacific Ocean. We also provide a collaborative technical culture committed to producing the leading R&D in the world. Interested candidates are requested to apply on line at HRL's website (http://www.hrl.com/careers/cars_jobs.html) Due to the large number of resumes that we receive from various sources, HRL has chosen to only accept employment inquiries submitted through our website. Please contact Dr. Praveen Pilly (pkpilly(a)hrl.com<mailto:pkpilly@hrl.com>) for any questions related to this job opportunity. Applications will be accepted and reviewed until the positions are filled. https://www4.recruitingcenter.net/Clients/HRL/PublicJobs/controller.cfm?jba… https://www4.recruitingcenter.net/Clients/HRL/PublicJobs/controller.cfm?jba… -- Praveen K. Pilly, Ph.D. Research Staff Member Center for Neural and Emergent Systems Information and Systems Sciences Laboratory HRL Laboratories Email: pkpilly(a)hrl.com<mailto:pkpilly@hrl.com> Tel: 310-317-5492

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Neuroscience Graduate Group at the University of Pennsylvania
by Joshua Gold Oct. 8, 2015

Oct. 8, 2015

The Neuroscience Graduate Group (NGG) at the University of Pennsylvania is a collaborative and interdisciplinary PhD program that is currently accepting applications for matriculation in the fall of 2015. We are particularly interested in attracting exceptional applicants with backgrounds in Neuroscience, Computer Science, Cognitive Science, Mathematics, Engineering, Physics, and/or Psychology and are interested in the broadly defined field of Computational Neuroscience. We have a robust and growing community of scholars in this field, including: Vijay Balasubramanian, Department of Physics Danielle S Bassett, Department of Bioengineering David H Brainard, Department of Psychology Maja Bucan, Department of Genetics Johannes Burge, Department of Psychology Alice S Chen-Plotkin, Department of Neurology Brian Chow, Department of Bioengineering Yale E Cohen, Department of Otorhinolaryngology Diego Contreras, Department of Neuroscience Christopher M Fang-Yen, Department of Bioengineering Maria Neimark Geffen, Department of Otorhinolaryngology Joshua I Gold, Department of Neuroscience John B Hogenesch, Department of Pharmacology Joseph W Kable, Department of Psychology Michael J Kahana, Department of Psychology Max Kelz, Department of Anesthesiology Brian Litt, Departments of Neurology and Bioengineering Joel D Mainland, Department of Neuroscience Javier F Medina, Department of Psychology Nicole C Rust, Department of Psychology Robert G Smith, Department of Neuroscience Alan A Stocker, Department of Psychology Penn also has strong programs in Statistics, Computer Science, Engineering, and Psychology with faculty actively involved in machine learning, decision making, perception, and computational learning theory. NGG students are encouraged to pursue collaborations and interactions with these groups. The application deadline for the NGG is December 1, 2014. For more details please see our website: http://www.med.upenn.edu/ngg/app_info.shtml ----- Joshua Gold University of Pennsylvania Department of Neuroscience 116 Johnson Pavilion 3610 Hamilton Walk Philadelphia, PA 19104-6074 office phone: 215-746-0028 lab phone: 215-746-0168 e-mail: jigold(a)mail.med.upenn.edu http://www.med.upenn.edu/goldlab

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PhD position in computational neuroscience. 'Identification of Metastable Cortical Dynamics Underlying Cognitive Decisions'. Bournemouth University-IDIBAPS
by Emili Balaguer-Ballester Oct. 8, 2015

Oct. 8, 2015

PhD position in computational neuroscience. 'Identification of Metastable Cortical Dynamics Underlying Cognitive Decisions'. Bournemouth University-IDIBAPS. A PhD position is available in 3-years fully-funded project "Identification of Metastable Cortical Dynamics Underlying Cognitive Decisions"; based at Bournemouth University (UK) and at the Biomedical Research Institute August Pi I Sunyer (IDIBAPS, http://www.idibaps.org/en_index.htm, University of Barcelona, Spain). Do we have analysis tools for a reliable identification of the dynamical processes underlying decision-making? This is a fundamental question, touching the very basics of our understanding of neural computation and hence one of the most exciting topics in neuroscience. However, to reconstruct in detail neural dynamics generating cognitive decisions is a major challenge for current methodologies. This would be a highly significant advance; for instance the identification of stable dynamical patterns of activity in hippocampus deserved to win the last Nobel Prize. The aim of the project is to develop innovative approaches designed for the identification of metastable dynamics underlying cognitive decisions. We aim for the fusion of statistical learning approaches to pattern discovery with methods for identifying neural attractor dynamics and neurocomputational modelling. The novel approach will reconstruct neural dynamics during tasks specifically designed at Sanchez-Vives Lab in rodents and in human subjects at the Bournemouth EEG lab. The training possibilities that this interdisciplinary project offers are multiple and relevant in building-up a high-profile as a neuroscientist. The student will benefit from the vibrant scientific environment of neural computation and neurosciences at BU and at the cortical networks lab; embedded in the renowned systems neuroscience network in Barcelona. Applicants holding a degree in Physics, Computer Science, Engineering, Mathematics or similar disciplines are welcome. Interest or previous training in neuroscience and machine learning, as well master qualifications in these subjects, laboratory experience and a strong mathematical background would be very welcome. The researcher would be based at the Faculty of Science, Bournemouth University, and work with Dr Balaguer-Ballester at the Computational Neuroscience laboratory (http://dec.bournemouth.ac.uk/staff/ebb) and would spend prolonged periods of time in the Cortical Networks Lab (http://www.sanchez-vives.org/ IDIBAPS, Barcelona) led by Prof. Maria Victoria Sanchez-Vives; providing an outstanding opportunity to gain a diverse experience of both neuro-computational and experimental approaches. For more information and for applying please visit https://research.bournemouth.ac.uk/pgr/funded-phd-studentships-in-the-facul… For further details please do not hesitate to contact me: eb-ballester(a)bournemouth.ac.uk; twitter: @emilibalball . Kind regards Emili BU is a Disability Two Ticks Employer and has signed up to the Mindful Employer charter. Information about the accessibility of University buildings can be found on the BU DisabledGo webpages This email is intended only for the person to whom it is addressed and may contain confidential information. If you have received this email in error, please notify the sender and delete this email, which must not be copied, distributed or disclosed to any other person. Any views or opinions presented are solely those of the author and do not necessarily represent those of Bournemouth University or its subsidiary companies. Nor can any contract be formed on behalf of the University or its subsidiary companies via email.

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Postdoctoral positions in theoretical biophysics at Emory University
by Nemenman, Ilya Oct. 8, 2015

Oct. 8, 2015

Dear Colleagues, We’re happy to announce that the we are in the process of hiring multiple postdoctoral scientists for the newly-formed theoretical biophysics cluster at Emory University. If you could forward the attached ad to anyone who might be interested, or suggest suitable candidates, it would be greatly appreciated. Sincerely, Gordon Berman Ilya Nemenman Daniel Weissman ---------------------- Postdoctoral Positions: Theoretical Biological Physics at Emory University Applications are invited for multiple Postdoctoral Scientist positions in the new theoretical biophysics cluster at Emory University. The groups of Professors Gordon Berman, Ilya Nemenman, and Daniel Weissman constitute the core of the cluster, and additional members include groups within the Departments of Physics, Biology, Chemistry, and Biomedical Engineering, amongst others across Emory. The cluster studies a wide range of questions at the interface of physics and biology, with particular focus on modeling and quantifying behavior, collective information processing in neural and cellular systems, and evolutionary dynamics. A successful applicant will have a PhD and a strong publication record in theoretical physics, quantitative biology, computational neuroscience, or a related field. We are particularly interested in candidates with a track record of scientific creativity and independent thinking. Review of applications will begin immediately and will continue until the positions are filled. Please send your CV, a brief description of your research experience and interests, and a list of three references to q-bio-jobs(a)listserv.emory.edu. <mailto:q-bio-jobs@listserv.emory.edu> Emory University is one of the world’s leading research universities, with top-ranked programs in Population Biology Ecology and Evolution, Computational Neuroscience, Biomedical Engineering, and Biophysics. The outstanding School of Medicine and Rollins School of Public Health and the nearby Georgia Institute of Technology provide ample opportunities for collaborations. The hired postdoctoral scientists will benefit from unique resources available at Emory, such as the Center for Disease Control, located on Emory Campus, and the Yerkes Primate Research Center. Emory is located within a leafy neighborhood in the heart of Atlanta, a major cultural center and transportation hub, which offers high quality of life. Emory University is an AA/EEO employer. ________________________________ This e-mail message (including any attachments) is for the sole use of the intended recipient(s) and may contain confidential and privileged information. If the reader of this message is not the intended recipient, you are hereby notified that any dissemination, distribution or copying of this message (including any attachments) is strictly prohibited. If you have received this message in error, please contact the sender by reply e-mail message and destroy all copies of the original message (including attachments).

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PhD opportunities in Computational Neuroscience
by Claudia Clopath Oct. 7, 2015

Oct. 7, 2015

Computational Neuroscience Laboratory Headed by Dr. Claudia *Clopath* Department of Bioengineering Imperial College London -----------------Requirements:----------------- The Computational Neuroscience Laboratory, headed by Dr. Claudia Clopath, is looking for a talented PhD student, interested in working in the field of computational neuroscience, specifically addressing questions of *learning and memory*. The perfect candidate has a strong mathematical, physical or engineering background (or equivalent), and a keen interest in biological and neural systems. Demonstrated programming skills are a plus. -----------------Research topic:----------------- Learning and memory are among the most fascinating topic of neuroscience, yet our understanding of it is only at the beginning. Learning is thought to change the connections between the neurons in the brain, a process called *synaptic plasticity*. Using mathematical and computational tools, it is possible to model synaptic plasticity across different time scales, which helps understand how different types of memory are formed. The PhD candidate will be working to build those models of synaptic plasticity, and study the functional role of synaptic plasticity in artificial neural networks. They will have the opportunity to collaborate with experimental laboratories, which study connectivity changes and behavioural learning. Candidates should be EU nationals. ----------------- The lab:----------------- The Computational Neuroscience Laboratory is very young and dynamic, and publishes in prestigious journals, such as Nature and Science. It is part of the Department of Bioengineering, which conducts state-of-the-art multidisciplinary research in biomechanics, neuroscience and neurotechnology. The lab is at *Imperial College London*, the 3rd ranked university in Europe, is in the top 10 worldwide, and is located in the city centre of London. More information can be found at: http://www.bg.ic.ac.uk/research/c.clopath/lab/index.html <http://www.bg.ic.ac.uk/research/c.clopath/> ----------------- How to apply:----------------- Candidates should send a single pdf file, consisting of a 1-page motivation letter, CV (mentioning that they are EU nationals) to clopathlab.imperial(a)gmail.com, with the subject containing 'PHD2016'. In addition, candidates should organize two letters of references to be sent to clopathlab.imperial(a)gmail.com. The application *deadline is **Oct 25th* (both for the application as well as for the two letters of references). Skype Interviews will be held on the Oct 29th. ----------------- Funding:----------------- The candidate will apply to an Imperial College PhD scholarship. Deadline for funding application is on Nov 12. More information can be found at: <http://www3.imperial.ac.uk/researchstrategy/funding/phdscholarships> <http://www3.imperial.ac.uk/studentfinance/prospectivepgstudents/phdscholars…> http://www3.imperial.ac.uk/studentfinance/prospectivepgstudents/phdscholars…

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POSTDOCTORAL POSITIONS IN COMPUTATIONAL NEUROSCIENCE AT BROWN UNIVERSITY
by Wilson Truccolo Oct. 7, 2015

Oct. 7, 2015

POSTDOCTORAL POSITIONS IN COMPUTATIONAL NEUROSCIENCE AT BROWN UNIVERSITY: Applications for NIH-funded post-doctoral positions are invited for the Laboratory of Dr. Wilson Truccolo in the Department of Neuroscience at Brown University, Providence, RI, USA. The positions are for the development of data-driven stochastic and biophysical models of multiscale neural dynamics in human epilepsy. Data consist of simultaneous intracortical microelectrode array recordings of ensembles of single neurons and local field potentials, as well as ECoGs, during seizure and non-seizure states in individuals with intractable epilepsy. The project involves a collaboration between the labs of Dr. Truccolo and Dr. Sydney Cash (Massachusetts General Hospital, Harvard Medical School, Boston). The ideal candidate will have a strong background in computational/theoretical neuroscience and modeling of stochastic neural dynamics. Related recent publications can be found on the Truccolo lab website ( http://www.truccololab.com/ <http://dl.dropbox.com/u/983891/Truccolo_home.htm>). Inquiries should be addressed to Dr. Truccolo (wilson_truccolo(a)brown.edu) Applications including a CV, statement of research interests, and the names and full contact details of three referees should be sent to wilson_truccolo(a)brown.edu. -- Wilson Truccolo, Ph.D. Pablo J. Salame '88 Goldman Sachs Assistant Professor of Computational Neuroscience Department of Neuroscience & Institute for Brain Science, Brown University Lab website: http://www.truccololab.com/

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PhD Position in Deep Learning & Visual Neuroscience
by Paul Zhutovsky Oct. 7, 2015

Oct. 7, 2015

Hi there, we at EyeQuant, a visual neuroscience / machine learning startup based in Berlin have teamed up with a Marie Curie training network to offer a fully salaried PhD candidate position at the rapidly advancing intersection of Deep Learning, Computer Vision and Visual Neuroscience, starting as soon as possible. This is a really unique opportunity to obtain a PhD through a prestigious programme while working with and at a successful technology software startup, enabling you to simultaneously advance your career prospects both inside and outside of academia. Your supervisor and PI will be neuroscientist and EyeQuant co-founder Prof. Dr. Peter König, who is the Director of the Institute of Cognitive Science and Head of the Neurobiopsychology Lab at the University of Osnabrück, Germany. You will be based in EyeQuant’s Berlin HQ, with regular trips to our Lab in Osnabrück. You can find more details and next steps here: http://www.eyequant.com/#!/jobs#phd-candidate-research-engineer Please note that in order to be eligible for the MARIE SKŁODOWSKA-CURIE grant, you must not have carried out your main research activity for more than 12 months in Germany in the previous 36 months.

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Tenure Track Faculty Position in Theoretical Condensed Matter and Biological Physics
by Stepanyants, Armen Oct. 6, 2015

Oct. 6, 2015

The Department of Physics at Northeastern University invites applications for an Assistant or Associate Professor level tenure track position in theoretical condensed matter and biological physics to begin Fall 2016. This is a broad search covering all forefront areas of theoretical and computational condensed matter and biological physics. Candidates are expected to teach effectively both undergraduate and graduate physics courses, and establish an independent externally funded research program. The successful applicant is expected to have a PhD in Physics, although closely related areas will also be considered. Northeastern University is an Equal Opportunity, Affirmative Action Educational Institution and Employer, Title IX University, and an E-Verify Employer. Applications from minorities, women and persons with disabilities are particularly welcome. Application materials submitted online at https://neu.peopleadmin.com/postings/38431 should include a cover letter, curriculum vitae, research and teaching statements, and names and e-mail addresses of four references. The deadline for receipt of all application materials, including the reference letters, is January 15, 2016. The position will, however, remain open until a suitable candidate is selected.

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COSYNE 2016: Abstract submission is open, Workshop proposal deadline on Oct 31
by Tomas Hromadka Oct. 6, 2015

Oct. 6, 2015

==================================================== Computational and Systems Neuroscience 2016 (Cosyne) MAIN MEETING Feb 25 - Feb 28, 2016 Salt Lake City, Utah WORKSHOPS Feb 29 - Mar 01, 2016 Snowbird Ski Resort, Utah www.cosyne.org ==================================================== IMPORTANT DATES Abstract submission is now open! Abstract submission deadline: 13 November 2015 Workshop proposal deadline: 31 October 2015 The annual Cosyne meeting provides an inclusive forum for the exchange of empirical and theoretical approaches to problems in systems neuroscience, in order to understand how neural systems function. MAIN MEETING The main meeting is single-track. A set of invited talks are selected by the Executive Committee, and additional talks and posters are selected by the Program Committee, based on submitted abstracts. Cosyne topics include but are not limited to: neural coding, natural scene statistics, dendritic computation, neural basis of persistent activity, nonlinear receptive field mapping, representations of time and sequence, reward systems, decision-making, synaptic plasticity, map formation and plasticity, population coding, attention, and computation with spiking networks. This year we would like to foster increased participation from experimental groups as well as computational ones. Please circulate widely and encourage your students and postdocs to apply. When preparing an abstract, authors should be aware that not all abstracts can be accepted for the meeting, due to space constraints. Abstracts will be selected based on the clarity with which they convey the substance, significance, and originality of the work to be presented. WORKSHOPS The workshops feature in-depth discussion of current topics of interest, in a small group setting. The goal is to provide an informal forum for the discussion of important research questions and challenges. Controversial issues, open problems, comparisons of competing approaches, and alternative viewpoints are encouraged. The overarching goal of all workshops should be the integration of empirical and theoretical approaches, in an environment that fosters collegial discussion and debate. Preference will be given to proposals that differ substantially in content, scope, and/or approach from workshops of recent years (examples available at www.cosyne.org) Relevant topics include, but are not limited to: sensory processing; motor planning and control; functional neural circuits; motivation, reward and decision making; learning and memory; adaptation and plasticity; neural coding; neural circuitry and network models; and methods in computational or systems neuroscience. CONFIRMED SPEAKERS: Blaise Aguera y Arcas (Google) Marisa Carrasco (NYU) Edward Chang (UCSF) Greg DeAngelis (Rochester) Mark Goldman (UC Davis) Sonja Hofer (Basel) Richard Mooney (Duke) Mala Murthy (Princeton) Peggy Series (Edinburgh) Reza Shadmehr (Johns Hopkins) Paul Smolensky (Johns Hopkins) Leslie Vosshall (Rockefeller) Xiao-Jing Wang (NYU) ORGANIZING COMMITTEE: General Chairs: Maria Geffen (U Penn) and Konrad Körding (Northwestern) Program Chairs: Megan Carey (Champalimaud) and Emilio Salinas (Wake Forest) Workshop Chairs: Claudia Clopath (Imperial College) and Alfonso Renart (Champalimaud) Publicity Chair: Xaq Pitkow (Rice) EXECUTIVE COMMITTEE: Anne Churchland (CSHL) Zachary Mainen (Champalimaud) Alexandre Pouget (U Geneva) Anthony Zador (CSHL) CONTACT cosyne.meeting [at] gmail.com

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Postdoctoral Position in Robust Intelligence / Theoretical Neuroscience
by Stepanyants, Armen Oct. 5, 2015

Oct. 5, 2015

The Center for Interdisciplinary Research on Complex Systems and the Department of Physics at Northeastern University, Boston, invite applicants for a postdoctoral position in Robust Intelligence / Theoretical Neuroscience to begin in the fall of 2015. The successful candidate will work on an AIR FORCE sponsored project to create a theoretical framework for the analysis of the effects of learning and robust memory storage on synaptic connectivity in local cortical networks. Applicants should have a Ph.D. in computational neuroscience, physics, mathematics, or related quantitative disciplines. Track record of experience in computational neuroscience, as well as excellent theoretical and computational skills are required. Knowledge of machine learning, replica/cavity theory from statistical physics, cortical neuroanatomy and connectivity is preferred. To apply, please send (1) a CV, including a list of publications, (2) a summary of prior research accomplishments, and (3) names and contact information of three reference providers by email to Prof. Armen Stepanyants, a.stepanyants(a)neu.edu<mailto:a.stepanyants@neu.edu>. The position is available immediately, and applications will be accepted until the position is filled. The initial appointment is for one year with the possibility of renewal on a yearly basis. Northeastern is an Equal Opportunity/Affirmative Action Title IX Employer. More information can be found at the Neurogeometry Lab website, www.neurogeometry.net<http://www.neurogeometry.net>. Armen Stepanyants Associate Professor Department of Physics and Center for Interdisciplinary Research on Complex Systems Northeastern University 110 Forsyth St., Boston, MA 02115 Phone: (617) 373-2944 Fax: (617) 373-2943 http://www.neurogeometry.net/

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PhD position in Zurich
by Jean-Pascal Pfister Oct. 5, 2015

Oct. 5, 2015

Applications are invited for one PhD student position at the University of Zurich. The position is funded by a SystemsX grant from the Swiss National Science Foundation. The project is entitled "Baysian learning of quantal parameters at single synapse resolution", and involves both experimentation and theory. Most models of synaptic transmission assume that all synapses between two neurons are identical. However, there is experimental evidence for significant heterogeneity in synaptic transmission between synapses. The major goal of this project is the development of an approach that allows for quantification of functional synaptic parameters incorporating single synapse heterogeneity. Half of the project will be devoted to experiments (electrophysiological and optophysiological investigation of synaptic transmission at Drosophila synapses), while the second part will involve modeling (Bayesian learning). The PhD student will be co-supervised by Prof. Martin Müller (Institute of Molecular Life Sciences, University of Zurich) and by Prof. Jean-Pascal Pfister (Institute of Neuroinformatics, ETH and University of Zurich). Both institutes offer ideal environments for performing theory-driven experiments due to the presence of many theoretical and experimental labs. The candidate should hold a Master degree/Diplom in Physics, Biology, Neuroscience, Computational Neuroscience or a related field. She/he should have prior experience in an experimental lab, a very strong mathematical background, and good programming skills. The applicant should submit a CV, a statement of research interests, marks obtained for the Master/Diploma, and the abstract of the Master/Diploma thesis in electronic format to Jean-Pascal Pfister (jpfister(a)ini.uzh.ch <mailto:jpfister@ini.uzh.ch>) or Martin Müller (Martin.Mueller(a)imls.uzh.ch <mailto:Martin.Mueller@imls.uzh.ch>). In addition, two referees should directly send a letter of recommendation by email. The position is offered for a period of three years, starting on the 1st of January 2016. Salary scale is provided by the Swiss National Science Foundation (www.snf.ch <http://www.snf.ch/>). Deadline for application is the 30th of October 2015 or until the position is filled. +++ Martin Mueller SNSF Assistant Professor Institute of Molecular Life Sciences University of Zurich Y55-K78 Winterthurerstrasse 190 8057 Zurich Switzerland www.imls.uzh.ch/mueller.html <http://www.imls.uzh.ch/mueller.html> www.neuroscience.ethz.ch/research/molecular_cellular/mueller <http://www.neuroscience.ethz.ch/research/molecular_cellular/mueller> +++ Jean-Pascal Pfister SNSF Assistant Professor Theoretical Neuroscience Group Institute of Neuroinformatics University of Zurich and ETH Zurich Winterthurerstrasse 190 8057 Zurich, Switzerland www.ini.uzh.ch/~jpfister <http://www.ini.uzh.ch/~jpfister> www.neuroscience.ethz.ch/research/computation_modeling/pfister <http://www.neuroscience.ethz.ch/research/computation_modeling/pfister>

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NIPS Workshop on Modelling and Inference for Dynamics on Complex Interaction Networks
by Yasser Roudi Oct. 5, 2015

Oct. 5, 2015

We invite contributions to the workshop on Modelling and Inference for Dynamics on Complex Interaction Networks Friday 11 December 2015 Palais des Congrès de Montréal, Montréal, Canada Submissions of both contributed talks and posters are welcome. Please email an abstract of up to 1 page (PDF preferred) to peter....(a)kcl.ac.uk <> by 30 October 2015 and indicate your preference for talk or poster. We will get back to you with decisions on acceptance of submissions by mid-November. Further information on the workshop theme, invited speakers etc can be found below or at http://www.netadis.eu/ <http://www.netadis.eu/> (go to "NIPS 2015" tab). Please distribute to any researchers that might be interested in participating. Many thanks, Manfred Opper, Yasser Roudi and Peter Sollich --------------------------------------------- INVITED SPEAKERS and indicative topics • Jose Bento Ayres Pereira, Boston College – learning networks of stochastic differential equations • Mathias Bethge, MPI Tübingen – dynamics of generalized linear models • Alfredo Braunstein, Polictecnico di Torino – inference problems for irreversible stochastic epidemic models • Ramon Grima, University of Edinburgh – approximate solutions of Fokker-Planck equations, Feynman system size expansion • Andrea Montanari, Stanford – to be confirmed • Federico Ricci-Tersenghi, “La Sapienza” University, Roma – cross-correlations to infer delay structure then interactions • Graham Taylor, University of Guelph – deep learning in dynamical networks ORGANIZERS Prof Manfred Opper (Technische Universitaet Berlin, Germany), Prof Yasser Roudi (NTNU, Trondheim, Norway), Prof Peter Sollich (King’s College London, UK) CONTACT Prof Peter Sollich: peter....(a)kcl.ac.uk <> ABSTRACT Inference and learning on large graphical models, i.e. large systems of simple probabilistic units linked by a complex network of interactions, is a classical topic in machine learning. Such systems are also an active research topic in the field of statistical physics. The main interaction between statistical physics and machine has so far been in the area of analysing data sets without explicit temporal structure. Here methods of equilibrium statistical physics, developed for studying Boltzmann distributions on networks of nodes with e.g. pairwise interactions, are closely related to graphical model inference techniques; accordingly there has been much cross-fertilization leading to both conceptual insights and more efficient algorithms. Models can be learned from recorded experimental or other empirical data, but even when samples come from e.g. a time series this aspect of the data is typically ignored. More recently, interest has shifted towards dynamical models. This shift has occurred for two main reasons: * Most of the interesting systems for which statistical analysis techniques are required, e.g. networks of biological neurons, gene regulatory networks, protein-protein interaction networks, stock markets, exhibit very rich temporal or spatiotemporal dynamics; if this is ignored by focusing on stationary distributions alone this can lead to the loss of a significant amount of interesting information and possibly even qualitatively wrong conclusions. * Current technological breakthroughs in collecting data from the complex systems referred to above are yielding ever increasing temporal resolution. This in turn allows in depth analyses of the fundamental temporal aspects of the function of the system, if combined with strong theoretical methods. It is widely accepted that these dynamical aspects are crucial for understanding the function of biological and financial systems, warranting the development of techniques for studying them. In the past, the fields of machine learning and statistical physics have cross-fertilised each other significantly. E.g. the establishment of the relation between loopy belief propagation, message passing algorithms and the Bethe free energy formulation has stimulated a large amount of research in approximation techniques for inference and the corresponding equilibrium analysis of disordered systems in statistical physics. It is the goal of the proposed workshop to bring together researchers from the fields of machine learning and statistical physics in order to discuss the new challenges originating from dynamical data. Such data are modelled using a variety of approaches such as dynamic belief networks, continuous time analogues of these – as often used for disordered spin systems in statistical physics –, coupled stochastic differential equations for continuous random variables etc. The workshop will provide a forum for exploring possible synergies between the inference and learning approaches developed for the various models. The experience from joint advances in the equilibrium domain suggests that there is much unexplored scope for progress on dynamical data. Possible topics to be addressed will be: Inference on state dynamics: – efficient approximation of dynamics on a given network, filtering, smoothing – inference with hidden nodes – existing methods including dynamical belief propagation & expectation propagation, variational approximations, mean-field and Plefka approximations; relations between these, advantages, drawbacks – alternative approaches Learning model/network parameters: – with/without hidden nodes Learning network structure: – going beyond correlation information

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PhD positions in Marie-Curie European Training Network (Synaptic Dysfunction in Alzheimer Disease)
by Tomas Hromadka Oct. 2, 2015

Oct. 2, 2015

A Marie Sklodowska Curie Actions sponsored European Training Network in Synaptic Dysfunction in Alzheimer Disease (SyDAD) is seeking 15 PhD students. ============ www.sydad.eu ============ RESEARCH SCHOOL SyDAD is an interdisciplinary PhD programme including an innovative research programme with cutting edge methodology, an excellent training programme, international exchanges and a translational and collaborative orientation. AIMS 1. To foster a new generation of researchers with an innovative mind-set and full understanding of the requirements of academia, pharmaceutical companies, the clinics and the societal challenges. 2. To, through a collaborative research programme, elucidate how the different pathways underlying synaptic dysfunction in Alzheimer Disease (AD) relate to each other, to identify novel pharmaceutical targets and to elaborate a drug discovery platform. THE DOCTORAL EDUCATION PROJECTS AND THE DUTIES OF THE STUDENT The doctoral students will use biochemical, cell biological, electrophysiological and in vivo methods as well as clinical material. The network has access to a wide repertoire of cutting-edge methodology including super-resolution microscopy, mass spectrometry, in vivo electrophysiology and optogenetics. The doctoral students will be seconded to other sites of the network during shorter periods to best utilize the resources of the network and participate in a common training programme at the different sites of the network. PROJECTS For more information about the projects, please see the SyDAD web site www.sydad.eu Karolinska Institutet, Stockholm, Sweden ESR 10: Targeting Cholesterol homeostasis and synaptic maturation. Contact: angel.cedazo-minguez(a)ki.se ESR 11: Synaptic proteome and Aβ interactome in AD brain and mouse models. Contact: susanne.frykman(a)ki.se ESR 13: EEG as a functional central biomarker in AD. Contact: vesna.jelic(a)ki.se ESR 14: Mitochondria stabilisers and synaptic function in AD. Contact: maria.ankarcrona(a)ki.se Apply to the projects at Karolinska Institutet at http://ki.se/en/about/jobs-at-karolinska-institutet University of Bordeaux, France ESR 2: Role of APP in presynaptic mechanisms. Contact: gael.barthet(a)u-bordeaux.fr ESR 7: Mitochondrial dysfunction in relation to synaptic function in mouse models of Alzheimer’s disease. Contact: Sandrine Pouvreau sandrine.pouvreau(a)u-bordeaux.fr ESR 12: Plasticity of local hippocampal circuits in mouse models of Alzheimer's disease: relation with episodic memory encoding. Contact: christophe.mulle(a)u-bordeaux.fr Apply to the projects at University of Bordeaux by e-mail: christophe.mulle(a)u-bordeaux.fr University of Milano, Italy ESR 1: Linking actin-dependent dendritic spine remodelling and ADAM10 activity in AD: the role of CAP2. Contact: monica.diluca(a)unimi.it ESR 9: A spine to nucleus signalling pathway in Alzheimer's disease. Contact: fabrizio.gardoni(a)unimi.it ESR 15: Development of cell permeable peptides capable of increasing ADAM10 activity. Contact: monica.diluca(a)unimi.it Apply to the projects at University of Milano by e-mail: monica.diluca(a)unimi.it and fabrizio.gardoni(a)unimi.it Deutsches Zentrum für Neurodegenerative Erkrankungen (DZNE), Bonn, Germany ESR 3: Cascade linking Aß and tau-dependent toxicity to synapse loss. Contact: Mandelkow(a)dzne.de ESR 4: Loss-of-function genetic screening using CRISPR/Cas9. Contact: Daniele.Bano(a)dzne.de ESR 8. Synaptic plasticity and calcium remodelling. Contact: office-nicotera(a)dzne.de Apply to the projects at DZNE by e-mail: application(a)dzne.de Janssen Pharmaceuticals, Beerse, Belgium ESR 6: The roles of physiological and pathophysiological tau in synapse function and morphology. Contact: jpitaalm(a)ITS.JNJ.com Apply for the Janssen position here: http://jobs.jnj.com/s/u3z0MT Axon Neuroscience, Bratislava, Slovakia ESR 5: Rescue of truncated Tau-mediated synaptic dysfunction in vivo. Contact: novak(a)axon-neuroscience.eu For further information on the application process at Axon Neuroscience, please contact novak(a)axon-neuroscience.eu ENTRY REQUIREMENTS The entry requirements for each participating university will apply. ENTRY REQUIREMENTS OF MARIE SKLODOWSKA-CURIE ACTIONS The applicant should be a postgraduate researcher in the first four years (full-time equivalent) of their research activity, including the period of research training, who has not been awarded a doctoral degree. NOTE! Mobility rule: The researcher must not have resided or carried out his/her main activity (work, studies, etc) in the country of his/her host organisation for more than 12 months in the 3 years immediately prior to his/her recruitment. SKILLS AND PERSONAL QUALITIES - The applicants should have a genuine interest and solid education in Neuroscience at a master level or equivalent. - The applicants should have excellent practical skills in performing laboratory work. For specific requirements for the different projects, please contact the respective supervisor. - The applicants should have substantial experience in performing independent research projects, e g a Master thesis project - The applicants should have good collaborative skills and be open-minded. - The applicants should show good proficiency in written and spoken English equivalent to TOEFL or IELTS. APPLICATION PROCESS An application must contain the following documents in English: - A personal letter and curriculum vitae including references - A list of potential other project(s) within the SyDAD network the applicant applies for in prioritised order. - A copy of degree certificates and associated certificates. DEADLINE OF APPLICATION October 25th 2015

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Open-rank Tenure-track Position in (Computational) Neuroscience
by Erik De Schutter Oct. 1, 2015

Oct. 1, 2015

The Okinawa Institute of Science and Technology [OIST] Graduate University (http://www.oist.jp <http://www.oist.jp/>) invites applications for a faculty position in neuroscience. OIST emphasizes interdisciplinary research and teaching. Current faculty covers multiple disciplines in biology, chemistry, mathematics and physics; including a strong presence in experimental and theoretical neuroscience. Appointments can be made as Assistant Professor (tenure track), Associate Professor (tenured) or Professor (tenured). This is part of a plan to hire 50 new faculty members by 2023. We seek applicants with outstanding scholarship, creativity, and interdisciplinary interests. Further information and details of the application procedure may be accessed at https://groups.oist.jp/facultypositions <https://groups.oist.jp/facultypositions> Inquiries should be directed to Professor Ken Peach, Dean of Faculty Affairs, faculty-recruiting(a)oist.jp <mailto:faculty-recruiting@oist.jp> Applications should be made online before 15th November 2015. OIST is a new, English-language graduate university offering a world-class research environment and has an international research community with faculty, students and staff from over 50 countries. Faculty receives research budgets and has access to top of the line equipment. The campus is located on a beautiful, subtropical island in Okinawa, Japan. OIST Graduate University is an equal opportunity educator and employer committed to increasing the diversity of its faculty, students and staff by having proactive policies in place. We provide a family-friendly working environment, including a bilingual child development center on campus. Applications from women and other underrepresented groups are strongly encouraged. See https:// <https://groups.oist.jp/ged>groups.oist.jp/ged <https://groups.oist.jp/ged>.

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Up to five (5) tenure-track faculty positions in Brain and Cognitive Sciences @ MIT
by Kate White Sept. 30, 2015

Sept. 30, 2015

The Department of Brain & Cognitive Sciences (BCS) (http://bcs.mit.edu) at MIT is looking to hire up to five (5) tenure-track faculty at the assistant professor level. Affiliations with the Picower Institute for Learning & Memory and the McGovern Institute for Brain Research are possible. We are most excited about candidates who work in one or more of the following four (4) areas: i. Computational and theoretical approaches to neuroscience and cognition. Possible areas of focus include but are not limited to: statistics and data science, neural circuits, neural population representations and transformations, and cognitive processes. Candidates with the ability to build bridges across empirical domains are especially attractive. An affiliation with Electrical Engineering and Computer Science (EECS), the Computer Science and Artificial Intelligence Laboratory (CSAIL), Institute for Data, Systems, and Society (IDSS), or other allied departments is possible. ii. Systems neuroscience in non-human animals. The ideal candidate would be driven by computational questions and ideas from human cognition, with the goal of reverse-engineering the underlying neural representations and processes using tools that allow access to multiple brain regions. iii. Cognitive neuroscience in humans, especially if the candidate's work bridges levels of analysis using a variety of methods including MRI, MEG, fMRI, theoretical modeling, genetics and reverse engineering approaches. iv. Human cognition using behavioral methods, especially in the areas of language and/or cognitive development. Successful applicants are expected to develop and lead independent, internationally competitive research programs and to share in our commitment to excellence in undergraduate and graduate education by teaching courses and mentoring graduate and undergraduate students. PhD must be completed by start day of employment and some postdoctoral training is preferred. Please submit application materials - cover letter, CV, statement of research and teaching interests and representative reprints - online at http://academicjobsonline.org/ajo/jobs/5972. Please state research area in cover letter. To help direct the application, applicants should indicate which of the four areas listed above is their main research area by answering the mandatory questions included in the application. In addition, please arrange to have three letters of recommendation submitted online. All application materials are due by midnight (EST) on October 31, 2015. MIT is an affirmative action employer, and we encourage applications from women and underrepresented minorities. Best regards, Kate White Human Resources Administrator MIT - Department of Brain and Cognitive Sciences (BCS) 77 Massachusetts Ave., Bldg 46-2005A Cambridge, MA 02139 Phone: 617-253-5749 E-mail: kowhite(a)mit.edu<mailto:kowhite@mit.edu>

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Research Fellow Position in Mathematical Modelling and Feedback Control of Neural Systems
by David Grayden Sept. 29, 2015

Sept. 29, 2015

Research Fellow Position in Mathematical Modelling and Feedback Control of Neural Systems Research Fellow Grade 2 (Level B) NeuroEngineering Laboratory, Department of Electrical & Electronic Engineering The University of Melbourne Australia We seek a highly motivated person with expertise in neuroengineering, neural modelling, and control theory. The primary aim of this project is to devise and validate mathematical models of neural circuits and to developed closed-loop control algorithms for those circuits. In particular, the project will use experimental observations to derive and test transfer functions of afferent and efferent nerve activity for closed- loop control of inflammatory bowel disease. The mathematical modelling objective will run alongside physiological experiments to derive the transfer functions that constitute the most important aspects of the system. The research fellow will contribute to all aspects of the project, including the development of the transfer functions and the development of closed-loop control algorithms. This will involve working with physiologists to obtain the necessary neural and network parameters, constructing neuron models that match biological data, developing the control models and analysing their behaviour and parameter dependence, and implementing the algorithms to assess their effect. The person may also co-supervise PhD, MPhil and Master of Engineering students. The position is available for two years, renewable for a further two years depending on funding availability. More information and applications here: http://jobs.unimelb.edu.au/caw/en/job/886547/research-fellow Close date: 13 Oct 2015 Regards, David Professor David B. Grayden Director, Biomedical Engineering Dept of Electrical & Electronic Engineering Melbourne School of Engineering The University of Melbourne, Victoria 3010 Australia [cid:image001.jpg@01D0FB55.848428B0] This email and any attachments may contain personal information or information that is otherwise confidential or the subject of copyright. Any use, disclosure or copying of any part of it is prohibited. The University does not warrant that this email or any attachments are free from viruses or defects. Please check any attachments for viruses and defects before opening them. If this email is received in error please delete it and notify us by return email.

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2nd CFP Advanced Research on Biologically Inspired Cognitive Architecture
by Prof. Dr. Jordi Vallverdú Sept. 29, 2015

Sept. 29, 2015

*2nd Call for papers:* *"Advanced Research on Biologically Inspired Cognitive Architecture"(http://www.igi-global.com/publish/call-for-papers/call-details/1900 <http://www.igi-global.com/publish/call-for-papers/call-details/1900>). To be relased in July 2016, by IGI Global. * *Deadline: January 2016.* *Anthropic Oriented Computing (AOC) lies at the intersection among sociology, neuroscience, philosophy, anthropology, psychology, and computer science. We want to establish a new domain of the Anthropic-centric oriented computing merging and attract attention of wide audience for the inter/cross/trans- disciplinary areas and approaches such as field of a: philosophy, sociology, psychology, anthropology, neurophysiology and computer science. This way we aim at initiating the discussion on the Anthropo-centric -oriented computing with several specialists from different domains of the cognitive and social sciences. To gain broader view on the problems and tackled from different angles of perspective on Artificial Consciousness, and AGI and group/crowd dynamics.* *Recommended topics include, but are not limited to:* · *Affective cognitive architectures* · *Emotional computer interface* · *Situated and embodied cognition* · *Crowdcasting, Crowdsourcing, Crowdsensing* · *Swarm cognition (swarm intelligence + distributed cognition = swarm cognition)* · *Neuro-biologically inspired systems for AI* · *Philosophical aspects of Artificial consciousness* · *Computational Psychological aspects of Affective computation* · *Computational Neuroscientific aspects of Affective computation* · *Decision making and Artificial Consciousness* · *Volunteer computing* · *Social computing* · *Collective intelligence* · *Crowd agents* · *Agent crowdmap* · *Theory-based inference* · *Logic and graphical models* · *Causal reasoning and counterfactuals* · *Foundational and technical questions in bridging logical and probabilistic models* *Inquiries: Jordi Vallverdú, jordi.vallverdu(a)uab.cat <jordi.vallverdu(a)uab.cat> * Prof. Dr. Jordi Vallverdú, B. Phil, B. Mus, M.Sci, Ph.D. Room B7/104, Philosophy Dept. UAB 08193 Bellaterra (BCN) CATALONIA ------------------- FULL CV/Publications: https://uab.academia.edu/JordiVallverdu <https://uab.academia.edu/JordiVallverd%C3%BA> ORCID: http://orcid.org/0000-0001-9975-7780 ResearcherID: http://www.researcherid.com/rid/K-5536-2014 Researchgate: https://www.researchgate.net/profile/Jordi_Vallverdu

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Post-doctoral position in cognitive neuroscience of learning
by Christopher Honey Sept. 29, 2015

Sept. 29, 2015

A joint postdoctoral position is available in the labs of Amy Finn, Katherine Duncan, and Christopher Honey in the Department of Psychology at the University of Toronto. We are seeking a colleague who is interested in understanding how the human brain learns new sequential structure and how this changes with development. This unique collaboration will use computational modeling and neuroimaging to characterize the roles that subcortical learning and memory systems play in the development of statistical learning. The ideal candidate will have experience in cognitive neuroscience, strong quantitative training and an interest in systems of learning and memory as well as their development. The University of Toronto, typically ranked as one of the world's top 20 research universities, is located in downtown Toronto. The city is one of the most liveable and cosmopolitan cities in the world, and has a vibrant academic and biomedical community. This full-time position with benefits is fully funded for two years with an initial appointment of one year. There is also the possibility of extending the position beyond the first two funded years by applying for outside fellowships, such as the Canadian Institute of Health Research Fellowships, which are open to international trainees. The start date is flexible. Applicants should submit a CV, brief research statement, relevant publications, and contact details for two academic references to the addresses below. Please see the posting on the Psychology Department website ( http://home.psych.utoronto.ca/Assets/Psych+Digital+Assets/Psychology/Psych+… Employment+Opportunities/pdf.pdf), and contact any address below for more information. Contact Details Amy Finn: finn(a)psych.utoronto.ca, finnlandlab.org Katherine Duncan: duncan(a)psych.utoronto.ca , duncanlab.org Christopher Honey: honey(a)psych.utoronto.ca , honeylab.org

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Tenure Track Faculty Position in Biological Physics
by Ralf Haefner Sept. 29, 2015

Sept. 29, 2015

The Department of Physics and Astronomy at the University of Rochester invites applications for a tenure-track faculty position in Biological Physics. Applicants in both theoretical and experimental areas will be considered. Applicants should have a Ph.D., an outstanding record of research, and a commitment to excellence in teaching at both the undergraduate and the graduate level. The position is anticipated to be at the Assistant Professor level, however applicants at a more senior level will also be considered. We are especially interested in candidates whose research interests might leverage the University's recent strategic initiative in Interdisciplinary Data Science. However strong applications in any area of biological physics are encouraged. Each candidate should submit a letter of application, a curriculum vita including a list of publications, and a description of research and teaching plans. The candidate should arrange for four letters of recommendation to be sent in support of their application. Further instructions for applying to this search may be found at: https://www.rochester.edu/faculty-recruiting <https://www.rochester.edu/faculty-recruiting> To receive the fullest consideration, applicants are encouraged to apply by November 15. Review of applications will continue until the position is filled. The University of Rochester has a strong commitment to diversity and actively encourages applications from candidates from groups underrepresented in higher education. The University of Rochester is an Equal Opportunity/Affirmative Action employer and encourages applicants from members of minority groups and women. All applications are considered without regard to race, sex, religious or national origin. Salary will be competitive. EOE Minorities / Females / Protected Veterans / Disabled

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Multiple postdocs and RA positions in artificial consciousness based upon the integrated information theory
by Ryota Kanai Sept. 28, 2015

Sept. 28, 2015

Advertisement: 4 Postdoctoral and/or RA positions at Araya Brain Imaging, Tokyo, Japan. Four postdoctoral positions (or RA positions) are available to work on a JST (Japan Science and Technology) funded CREST research project on “Towards constructing artificial consciousness based on the integrated information theory (IIT)” (PIs: Kanai, Kawanabe and Maekawa, Co-PIs: Tsuchiya and Oizumi), which will run for 5.5 years from Oct 2015. The initial appointment will be for one year, with renewal based upon satisfactory performance and evaluation. Salary will be commensurate with experience. We are looking for young researchers (i.e., RAs, late-stage candidates for MSc or PhD degrees, or postdoctoral fellows) whose main research interest is the neuronal basis of consciousness, artificial intelligence, and/or the integrated information theory (IIT) of consciousness. There are 4 main projects: 1. Evolving artificial intelligent systems in complex game environments 2. Constructing systems with flexible sensory, cognitive and motor capability using deep neural networks (DNN) 3. Evaluation of integrated information in artificial systems 4. Empirical tests of IIT in real neural systems You will be employed at Araya Brain Imaging (CEO: Kanai) in Japan for all projects, but the actual location of work depends on the project. Projects 1 and 2 will mainly take place within Araya Brain Imaging in Tokyo, Japan, whereas Projects 3 and 4 will be conducted at Monash University, Australia. All projects will be supervised by Ryota Kanai (Araya), Naotsugu Tsuchiya (Monash) and Masafumi Oizumi (Monash and RIKEN, Japan). Researchers in all projects are expected to travel between Japan and Australia frequently (at least twice a year) to maximise interactions within the team. For each project, the exact requirement for experience and skills differ, but excellent programming and mathematical skills (especially familiarity in advanced statistics, machine learning and information theory) will be essential in all projects. Research Assistants are expected to learn those skills upon appointment. Excellence in written and oral English communication skills, as supported by objective publication recorded, is essential for postdoctoral applicants. Most importantly the enthusiasm to solve consciousness is mandatory. Araya Brain Imaging is a rapidly growing start-up located in Tokyo. While being a private company, our priority is the quality in research that drives innovation in neurotechnology. Many of the Araya members have been trained abroad (UK and US) and we are aiming to build an international hub for artificial consciousness. www.araya.org/eng Monash University, one of the eight top universities in Australia (G8), is forming a strong cluster of consciousness researchers, ranging from philosophers, neurophysiologists, and psychologists with excellent cognitive neuroscience tools available (simultaneous EEG & fMRI experiments and EEG/TMS & fMRI experiments at Monash Brain Imaging facility, which hosts a research-only MRI scanner, EEG, TMS and eye tracking. http://mbi.monash.edu.au/) Interested candidates are encouraged to send a CV, statement of research accomplishments and interests, PDF copies of representative publications, and contact information for 2 reference letters to: Please contact Yoshiko Tan (postdoc(a)araya.org) for questions and application. Application review will begin immediately and continue until the positions are filled. Best wishes, Ryota Kanai CEO of Araya Brain Imaging

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10th European Conference on Mathematical and Theoretical Biology
by Stephen Coombes Sept. 28, 2015

Sept. 28, 2015

========== ECMTB/SMB 2016 - www.ecmtb2016.org<http://www.ecmtb2016.org> ========== ========== Call for Minisymposium proposals - deadline, 18 Dec 2015 ========== 10th European Conference on Mathematical and Theoretical Biology The joint meeting of the European Society for Mathematical and Theoretical Biology (ESMTB) and the annual meeting of the Society for Mathematical Biology (SMB) will be held in Nottingham, 11-15 July 2016. We now invite proposals for minisymposia at the interface of mathematics and biology, including all areas of the life and medical sciences. Minisymposia will be held in two-hour blocks, consisting of 4 talks of 30 minutes each (including time for questions and changing speakers). Please fill in the form at www.ecmtb2016.org/submissions/<http://www.ecmtb2016.org/submissions/> to submit your minisymposium proposal. Following submission, the minisymposium proposer will receive a unique link which they should forward to each speaker, in order to register and submit their individual abstracts. Minisymposium proposers are encouraged to consider geographical and gender diversity when selecting speakers. Submission of abstracts for contributed talks and posters will open in due course, with a deadline of 14 Feb 2016. Please note: The first submission associated with your email address will create a user account, and a password will be emailed to that email address. Each registered user may make a maximum of two submissions to ECMTB 2016 (one as a minisymposium organiser; one for a minisymposium talk, contributed talk or poster). =========== Confirmed plenary speakers include: ============ Ruth Baker (University of Oxford, UK) Sander van Doorn (University of Groningen, Netherlands) Julia Gog (University of Cambridge, UK) Leah Keshet (University of British Columbia, Canada) Johan van de Koppel (Royal Netherlands Institute for Sea Research) Hisashi Ohtsuki (Kanagawa, Japan) Johan Paulsson (Harvard University, USA) and John Rinzel (NYU, USA) - SMB Winfree Prize lecture ========== ========== ========== ========== ========== best wishes, Markus Owen (Chair of the Local Organising Committee, ECMTB/SMB 2016) Local Organising Committee: Markus Owen, Daniele Avitabile, Leah Band, Bindi Brook, Stephen Coombes, Etienne Farcot, John King, Reuben O'Dea, Ruediger Thul, Jonathan Wattis Scientific Committee: Linda Allen, Ellen Baake, Jim Cushing, Andreas Deutsch, Odo Diekmann, Susanne Ditlevsen, Stephen Eglen, Amina Eladdadi, Yoh Iwasa, Eva Kisdi, Santiago Schnell, Artie Sherman, Jonathan Sherratt, Vitaly Volpert This message and any attachment are intended solely for the addressee and may contain confidential information. If you have received this message in error, please send it back to me, and immediately delete it. Please do not use, copy or disclose the information contained in this message or in any attachment. Any views or opinions expressed by the author of this email do not necessarily reflect the views of the University of Nottingham. This message has been checked for viruses but the contents of an attachment may still contain software viruses which could damage your computer system, you are advised to perform your own checks. Email communications with the University of Nottingham may be monitored as permitted by UK legislation.

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4th Winter Q-Bio Mtg in HAWAII Feb. 2016 ***Abstract submission deadline NOV. 10, 2015***
by Santamaria, Cookie Sept. 28, 2015

Sept. 28, 2015

THE FOURTH ANNUAL WINTER Q-BIO MEETING Quantitative Biology on the Hawaiian Islands February 15-18, 2016 http://w-qbio.org/ The Winter q-bio meeting brings together scientists and engineers who are interested in all areas of q-bio. Technology is driving revolutionary changes in biology. Systems Biology has arisen as the deduction of interaction networks from -omics data generated in the wake of remarkable technological achievements. Likewise, DNA synthesis technologies are driving the development of Synthetic Biology, whereby engineered circuitry and even entire genomes can be reconstituted from chemical building blocks. These two emerging areas have catalyzed the growth of Quantitative Biology, whereby the central goal is the deduction of quantitative principles that can be used to construct predictive models for biological phenomena. The venue for 2016 is the Sheraton Waikiki<http://www.sheraton-waikiki.com/>, which is located in Honolulu, on the island of Oahu. The resort is known for its breathtaking oceanfront views, a first-of-its-kind recently opened "Superpool" and many award-winning dining venues. This year we will select contributed talks from the submitted abstracts to be presented with the invited talks during the plenary sessions. Contributed talks will also be selected for parallel breakout sessions that commence in the late afternoon. 2016 CONFIRMED SPEAKERS: Nathalie Balaban — Hebrew University Karen Carniol — Cell Hana El-Samad — UCSF James Ferrell — Stanford Justin Gallivan — DARPA Susan Golden — UCSD Jeff Hasty — UCSD Evonne Kaplan-Liss — Stony Brook Jennifer Lippincott-Schwartz — NIH X. Shirley Liu — Harvard Katie Pollard — UCSF Bryan Ray — Science Jonathan Weissman — UCSF Lingchong You — Duke CONFERENCE ORGANIZERS: Jeff Hasty, University of California, San Diego Galit Lahav, Harvard University Wendell Lim, University of California, San Francisco Gurol Suel, University of California, San Diego Olga Troyanskaya, Princeton & Simons Center for Data Analysis Lev Tsimring, University of California, San Diego ***REGISTRATION OPENS SOON! *** Registration fee covers conference venue, registration reception, banquet, coffee & snacks. EARLY BIRD REGISTRATION ($700 / $475 Student) DEADLINE: Sunday, December 20, 2015 REGULAR REGISTRATION ($800 / $575 Student) DEADLINE: Sunday, January 31, 2016 LATE REGISTRATION ($875 / $650 Student) After Sunday, January 31, 2016 REGISTRATION WILL BE AVAILABLE AT: http://w-qbio.org/ HOTEL: A block of rooms has been reserved for registered conference participants at the Sheraton Waikiki<http://www.sheraton-waikiki.com/> at a negotiated rate starting at $229 per night plus tax. We have also reserved a block of rooms at the Sheraton Princess Kaiulani<http://www.princess-kaiulani.com/> (just one block east and across the street from the Sheraton Waikiki) at a negotiated rate starting at $160 per night plus tax. The rooms will be available soon on a first-come, first-served basis, so book early! CONTRIBUTED TALKS: If you wish to present your work at the conference, either as an oral talk or a poster, you must submit an abstract through the conference website by the November 10th deadline. Abstract guidelines and submission information at: http://www.w-qbio.org/submit-abstract/ ABSTRACT DEADLINE: Tuesday, November 10, 2015 Abstract guidelines and submission information at: http://www.w-qbio.org/submit-abstract/ We encourage you to forward this message to any colleagues who may be interested in taking part in this exciting event. Questions should be emailed to: coordinator(a)w-qbio.org<mailto:coordinator@w-qbio.org> SPONSORED BY: ACS Synthetic Biology UC San Diego BioCircuits Institute and the San Diego Center for Systems Biology UC San Diego Divisions of Biological Sciences, Physical Sciences, q-bio, and Engineering

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Release of NEST 2.8.0
by Jochen Martin Eppler Sept. 27, 2015

Sept. 27, 2015

Dear NEST users, NEST 2.8.0 is distributed under the GNU General Public License version 2 (or later). This version marks the completion of our development efforts during the HBP ramp up phase and consists of 290 repository checkins by 25 developers since 2.6.0. The most notable changes are: * The new connection framework introduced in NEST 2.6.0 can now handle parameter arrays for the 'all-to-all' and 'one-to-one' rules. * A new propagator for integrate-and-fire neurons correctly handles the case where membrane and synapse time constants are similar or the same. * Better documentation and much extended examples for PyNEST improve the discoverability of NEST's features. All users are encouraged to upgrade and adapt their simulation scripts to the changes in the user interface at this point in time to benefit from the improvements in the new version. For a full list of changes and download links, see https://github.com/nest/nest-simulator/releases/tag/v2.8.0 IMPORTANT: some of the defaults in NEST changed. You might have to adapt your scripts accordingly. See the release notes for details. Best regards, Jochen! -- Dr. Jochen Martin Eppler Phone: +49 2461 61-9471 ---------------------------------- Simulation Laboratory Neuroscience Jülich Supercomputing Centre Institute for Advanced Simulation ------------------------------------------------------------------------------------------------ ------------------------------------------------------------------------------------------------ Forschungszentrum Juelich GmbH 52425 Juelich Sitz der Gesellschaft: Juelich Eingetragen im Handelsregister des Amtsgerichts Dueren Nr. HR B 3498 Vorsitzender des Aufsichtsrats: MinDir Dr. Karl Eugen Huthmacher Geschaeftsfuehrung: Prof. Dr.-Ing. Wolfgang Marquardt (Vorsitzender), Karsten Beneke (stellv. Vorsitzender), Prof. Dr.-Ing. Harald Bolt, Prof. Dr. Sebastian M. Schmidt ------------------------------------------------------------------------------------------------ ------------------------------------------------------------------------------------------------

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Open position: Software Developer in Neuroinformatics
by Thomas Wachtler Sept. 26, 2015

Sept. 26, 2015

At the German Neuroinformatics Node (G-Node, http://www.g-node.org) Ludwig-Maximilians-Universität München, a full-time position is available to join the G-Node team in developing neuroinformatics solutions for data management in neurophysiology. Variety and complexity of data in this field challenge large-scale data access, consistent storage and efficient data analysis. G-Node is interacting closely with research labs to address these challenges with state of the art neuroinformatics methods, including tools and formats for data annotation, management, and sharing. G-Node is funded by the Federal Ministry of Education and Research (BMBF) and is part of the Bernstein Network Computational Neuroscience (http://nncn.de) and national node of the International Neuroinformatics Coordinating Facility (INCF, http://incf.org) The position involves working in a small team of developers within a lively neuroscience environment, with ample opportunities for bridging between neuroscience research and neuroinformatics. Tasks include contributing to the development and enhancement of G-Node formats, tools and services (http://www.g-node.org/tools-and-services, https://github.com/G-Node) working closely with neuroscience laboratories that use, or plan to use, neuroinformatics solutions. Candidates should have excellent programming skills, preferably in Python and C++ or Java, the ability to work in a team, and a strong interest in the development of novel open-source solutions for neuroscience. Experience in fields of relevance, such as semantic web technologies, relational databases, web development, scientific software and analysis, experimental or computational neuroscience, would be beneficial. The position is available immediately, salary level is according to TV-L, duration is one year with possibility of extension. Individuals with disabilities will be given preference in case of equal qualification. Applications by women are specifically encouraged. Applications should include CV, statement of experience and motivation, and names of referees. Informal inquiries prior to application are welcome. Applications will be accepted until the position is filled. Applications should be sent, preferably as single pdf file by email, to Thomas Wachtler <wachtler(a)bio.lmu.de> -- Dr. Thomas Wachtler <wachtler(a)bio.lmu.de> Scientific Director German Neuroinformatics Node Department Biology II Ludwig-Maximilians-Universität München Grosshaderner Str. 2 82152 Planegg-Martinsried Germany

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Postdoctoral Position in Brain Mapping / Computational Neuroscience
by Stepanyants, Armen Sept. 25, 2015

Sept. 25, 2015

The Neurogeometry Lab of Prof. Armen Stepanyants at the Department of Physics, in collaboration with the BIG-DATAbase group of Prof. Mirek Riedewald at the College of Computer and Information Science, Northeastern University, Boston, invite applicants for a postdoctoral position in Brain Mapping / Computational Neuroscience to begin in the fall of 2015. The successful candidate will work on an NIH sponsored project to develop algorithms and software tools for large-scale automated reconstruction of neurons from stacks of light microscopy images. Applicants should have a Ph.D. in mathematics, physics, electrical engineering, computer science, or related quantitative disciplines. Track record of experience in image processing, as well as excellent programming skills in Java and MatLab are essential. Knowledge of computer vision and machine learning algorithms is a plus. To apply, please send (1) a CV, including a list of publications, (2) a summary of prior research accomplishments, and (3) names and contact information of three reference providers by email to Prof. Armen Stepanyants, a.stepanyants(a)neu.edu<mailto:a.stepanyants@neu.edu>. The position is available immediately, and applications will be accepted until the position is filled. The initial appointment is for one year with the possibility of renewal on a yearly basis. Northeastern is an Equal Opportunity/Affirmative Action Title IX Employer. More information can be found at the Neurogeometry Lab website, www.neurogeometry.net<http://www.neurogeometry.net>. Armen Stepanyants Associate Professor Department of Physics and Center for Interdisciplinary Research on Complex Systems Northeastern University 110 Forsyth St., Boston, MA 02115 Phone: (617) 373-2944 Fax: (617) 373-2943 http://www.neurogeometry.net/

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News for Brain States: Characterization and Neuromodulation by DBS‏
by neuro girl Sept. 25, 2015

Sept. 25, 2015

****News for Brain States: Characterization and Neuromodulation by DBS**** Abstract submission ends Sunday, September 27, 2015 at midnight EST. Registration is now open but space is limited. Please register now to secure your spot. Registration includes breakfast, coffee breaks and lunch. Information for submission and registration can be found at http://bit.ly/1JVElkf and https://dbs.veomed.net/. The Brain States: Characterization and Neuromodulation by DBS conference will take place on November 11-13, 2015 in Cologne, Germany. This is an interdisciplinary meeting with leading experts in academia and medicine who will present physiological, computational and clinical approaches to the brain dynamics and brain mechanics of complex functional networks in the brain. Transformations of the neurodynamic operations of the brain between the normal to the pathological state will be explored using multivariate data analysis (EEG, MEG, DBS, etc…). Special attention will be given to next-generation approaches which allow the collaboration of clinical practice and science to advance the field from principles of organization to the causal control of function. ********************************************************************************* Brain States: Characterization and Neuromodulation by DBS November 11-13, 2015 Cologne, Germany ******************************************************************************** We are proud to present a unique combination of internationally renowned speakers in an intimate setting which encourages open discussion. You are cordially invited to participate. Confirmed Speakers: Hagai Bergman (Hebrew University of Jerusalem) Peter Brown (University of Oxford) Stephan Chabardes (University Hospital Grenoble) Alain Destexhe (CNRS) Emad N. Eskandar (Massachusetts General Hospital-Harvard Medical School) Martijn Figee (University of Amsterdam) John J. Foxe (Albert Einstein College of Medicine) Marc Goodfellow (University of Exeter) Anthony A. Grace (University of Pittsburgh) Rowshanak Hashemiyoon (University Hospital of Cologne) Jens Haueisen (Technische Universität Ilmenau) Viktor Jirsa (Aix-Marseille Université /CNRS) Jens Kuhn (University Hospital Cologne) Klaus Lehnertz (University of Bonn) Andres Lozano (University of Toronto) Cameron McIntyre (Case Western Reserve University) Christoph M. Michel (University of Geneva) Urs Ribary (Simon Fraser University) Günter Schiepek (Paracelsus Medical University) Wolf Singer (Max Planck Institute for Brain Research) Dimitri van de Ville (University of Geneva) Veerle Visser-Vandewalle (University Hospital of Cologne) Jürgen Voges (Otto-von-Guericke-University Magdeburg) Looking forward to seeing you in Cologne! With kind regards, Row Hashemiyoon Rowshanak Hashemiyoon, PhD Chief, Behavioral Neurophysiology and Computational Neuroscience Klinik für Stereotaxie und Funktionelle Neurochirurgie Universitätsklinikum Köln Kerpener Str. 62 D - 50937 Köln Email: row.hashemiyoon(a)uk-koeln.de http://www.uk-koeln.de/de/stereotaxie

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Gatsby Computational Neuroscience Unit, PhD Programme
by Peter Dayan Sept. 24, 2015

Sept. 24, 2015

Gatsby Computational Neuroscience Unit, University College London 4 year PhD Programme The Gatsby Unit is a centre for theoretical neuroscience and machine learning, focusing on unsupervised, semi-supervised and reinforcement learning, neural dynamics, population coding, Bayesian and nonparametric statistics, kernel methods, and applications of these to the analysis of perceptual processing, neural data, machine vision and bioinformatics. It provides a unique opportunity for a critical mass of theoreticians to interact closely with each other, and with other world-class research groups in related departments at UCL, including the Sainsbury Wellcome Centre for Neural Circuits and Behaviour, with which we will shortly share a building, and Biosciences, Computer Science, Functional Imaging, Physics, Physiology, Psychology, Neurology, Ophthalmology and Statistics, the cross-faculty Centre for Computational Statistics and Machine Learning, and also with other UK and overseas universities. The Unit has openings for exceptional PhD candidates. Applicants should have a strong analytical background, a keen interest in neuroscience and/or machine learning and a relevant first degree, for example in Computer Science, Engineering, Mathematics, Neuroscience, Physics, Psychology or Statistics. The PhD programme lasts four years, including a first year of intensive instruction in techniques and research in theoretical neuroscience and machine learning. All students are fully funded, regardless of nationality. The Unit also welcomes applications from students with pre-secured funding or who are currently soliciting other scholarship/studentships. We will review applications as soon as they are complete (including a CV, statement of research interests and letters from three referees) until the positions are filled. Early application is thus advised. Full details of our programme, and how to apply, are available at: http://www.gatsby.ucl.ac.uk/teaching/phd For further details of research interests please see http://www.gatsby.ucl.ac.uk/research.html and the individual faculty webpages at http://www.gatsby.ucl.ac.uk/members.html

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Call for applications: travel grants for advanced PhD students, the 2016 ELSC Annual Retreat
by Yoram Burak Sept. 24, 2015

Sept. 24, 2015

Dear Colleagues, Please distribute this to graduate students who might be interested. Sincerely, Yoram Burak --- The 2016 ELSC Annual Retreat January 24-26, Kibbutz Ein Gedi, Israel The Edmond and Lily Safra Center for Brain Sciences at the Hebrew University offers competitive scholarships to support the travel and accommodation of 20 outstanding advanced international Ph.D. students to present their work in our annual retreat. These scholarship are offered for the first time this year. ELSC is a multidisciplinary neuroscience center. Our retreat thus covers the whole spectrum of brain research, including computational, molecular, cognitive, and systems neuroscience. The ELSC retreat is an optimal venue for advanced Ph.D. students to present their work and receive expert feedback. The program includes talks by our advanced graduate students, and plenary speakers: Fred Wolf (MPI for Dynamics and Self Organization, Göttingen), Ilana Witten (Princeton University), and Serge Domoulin (Utrecht University). Candidates are requested to send their CV, a letter of intent, and a recommendation letter to BRAIN(a)ELSC.huji.ac.il by November 1st, 2015. Awardees will be announced no later than November 15th. See also: http://elsc.huji.ac.il/content/travel-grants-elsc-retreat ---

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Three postdoctoral positions in computational and systems olfactory neuroscience in Pittsburgh
by Nathan Urban Sept. 23, 2015

Sept. 23, 2015

Drs. Bard Ermentrout and Nathan Urban of the University of Pittsburgh, (Departments of Mathematics and Neurobiology) and the Center for the Neural Basis of Cognition invite applications for three postdoctoral positions for a NSF-funded BRAIN initiative project focused on the experimental and computational analysis of odor-driven navigation. (See NSF press release: http://www.nsf.gov/news/news_summ.jsp?cntn_id=136333&org=NSF&from=news and http://www.nsf.gov/awardsearch/showAward?AWD_ID=1555862&HistoricalAwards=fa… ) This three year project involves investigators at six institutions and is focused on analysis of how olfactory cues are used to guide navigation behavior in a number of species. Both behavioral strategies and brain mechanisms will be evaluated. The Pittsburgh group will combine experimental and computational approaches and will integrate detailed measurement and analysis of mouse behavior with simultaneous measurements of neural activity. We seek candidates with expertise in: Neurophysiology especially in vivo recording Automated behavioral analysis Computational models of brain networks The successful candidate will have a PhD or equivalent degree in neuroscience, applied math, engineering, computer science or a related discipline. Successful candidates will have a track record of publications and experience in experimental and/or computational neuroscience. Postdocs will be expected to participate in ongoing collaborations with other groups in Pittsburgh and in other locations, especially the other members of this project team. Postdocs in the lab will have the opportunity to present their work at national and international meetings and to take advantage of many opportunities for professional development.. Applicants can contact Dr. Urban via e-mail at nurban(a)pitt.edu and/ or Dr Ermentrout at bard(a)pitt.edu and should apply via: *https://goo.gl/HkhtY5 <https://goo.gl/HkhtY5>.Nathan Urban, Ph.D.Vice Provost for Special Projects829 Cathedral of LearningProfessor and Associate Chair - Department of Neurobiologyhttp://www.neurobio.pitt.edu/ <http://www.neurobio.pitt.edu/>Co-Director Center for the Neural basis of Cognitionwww.cnbc.cmu.edu <http://www.cnbc.cmu.edu/>Associate Director Pittsburgh Brain Institutehttp://www.braininstitute.pitt.edu/ <http://www.braininstitute.pitt.edu/>E1440 BSTWR200 Lothrop StreetUniversity of PittsburghPittsburgh, PA 15213Phone: 412-648-3396nurban(a)pitt.edu <nurban(a)pitt.edu> *

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Postdoc position in Computational Neuroscience
by Curtu, Rodica Sept. 23, 2015

Sept. 23, 2015

Postdoctoral Position in Computational Neuroscience Position Description: A postdoctoral position in Computational Neuroscience is available in the Human Brain Research Laboratory at The University of Iowa (HBRL; http://www.healthcare.uiowa.edu/Labs/hbrl-neurosurgery/index.html) The appointment is funded through the Mathematics Department but the work will be conducted in the HBRL. The initial appointment is for 12 months, renewable for another year subject to satisfactory progress, and potentially longer depending on funding. The position is available immediately and the salary is commensurate with experience. The postdoctoral scholar will work under the guidance of Dr. Rodica Curtu (Mathematics) and Dr. Kirill Nourski (Neurosurgery) on a project studying the neural mechanisms of auditory perceptual representation and perceptual switching (http://homepage.math.uiowa.edu/~rcurtu and http://www.medicine.uiowa.edu/dept_primary_apr.aspx?appointment=Neurosurger… ).The project involves collection of human electrocorticography (ECoG) recordings, signal processing and modern data-driven analytics, and dynamical systems modeling. HBRL is a multidisciplinary and collaborative research environment administered by the Department of Neurosurgery at the University of Iowa, College of Medicine. The lab covers a broad range of research interests in auditory processing, neuroeconomics, sensory-motor integration, and visual processing. The Department of Mathematics has an active, vibrant Mathematical Biology/Computational Neuroscience research group with established interdisciplinary collaborations both within and outside the University of Iowa. Qualifications: The successful candidate should have a PhD or equivalent degree in Neuroscience, Cognitive Sciences, Applied Mathematics, Computer Science, Biomedical Engineering, Electrical Engineering, or a related discipline. Applicants should have substantial expertise with at least one programming language (preferably Matlab) and be able to conduct research both independently and as part of a team. Good written and oral communications skills are required. Knowledge in signal processing and/or dynamical systems is highly desirable. Particularly, experience in modeling complex neural systems or experience in analyzing data from large-scale electrophysiological recordings will be appreciated. Evidence of research productivity is also considered an asset. How to apply: Complete application forms should be submitted at https://jobs.uiowa.edu/postdoc/view/2459 (jobs.uiowa.edu; requisition # 2459), and include: 1) a CV including education, research experience and a list of publications 2) a 1-2 page statement of prior research experience and accomplishments 3) a 1-2 page statement of future research interests and objectives 4) the names and contact information of 2 individuals who can provide reference letters. For questions, applicants can write to: Dr. Curtu at rodica-curtu(a)uiowa.edu or Dr. Nourski at kirill-nourski(a)uiowa.edu The University of Iowa is an equal opportunity/affirmative action employer.

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CFP: FLAIRS 2016 , Key Largo, Florida
by bisant＠umbc.edu Sept. 22, 2015

Sept. 22, 2015

CALL FOR PAPERS FLAIRS 2016, Florida Artificial Intelligence Research Symposium Special Tracks on Data mining and Special Track on Cyber Security Key Largo, Florida http://www.flairs-29.info/ Paper submission deadline: November 16, 2015. Notifications: January 18, 2016. Camera ready version due: February 22, 2016. FLAIRS is an interdisciplinary artificial intelligence conference which especially encourages novel ideas and which features a double-blind review process. Data Mining Track This special track will be devoted to data mining with the aim of presenting new and important contributions in this area. Papers and contributions are encouraged for any work related to Data Mining. Topics of interest may include (but are in no way limited to): 1. Applications such as Intelligence analysis, medical and health applications, text, video, and multi-media mining, E-commerce and web data, financial data analysis, cyber security, remote sensing, earth sciences, bioinformatics, and astronomy. 2. Modeling algorithms such as hidden Markov models, decision trees, neural networks, statistical methods, or probabilistic methods; case studies in areas of application, or over different algorithms and approaches. 3. Feature extraction and selection. 4. Post-processing techniques such as visualization, summarization, or trending. 5. Preprocessing and data reduction. 6. Knowledge engineering or warehousing. Papers dealing with Cloud-based unstructured data or Cloud-based tool suites, such as Mahout or Apache Spark, are also encouraged. Cyber-Security Track Original high quality papers are sought for leading edge research and applications relating to the application of AI and Cyber Security. Topics of interest may include but are not limited to: · Machine Learning for Intrusion Detection Systems · NLP for text analysis in Cyber Security · Video and CCTV semantic analysis for terrorist or criminal action detection · AI & Biometrics, Internet of Things, and Cloud Computing security · AI & SCADA systems, Network Systems, and Embedded Systems security · Formal and theoretical approaches of intelligent security in WSNs · Legal and policy issues in intelligent security · Integrity, privacy, authentication and access control · Intelligent secure systems in multimedia databases · Social networks security · Intelligent incident response techniques in network and communication systems · Risk analysis and intelligent management · Virtual Private Networks intelligent security · Automated reasoning techniques of incidents and evidence analysis · Evidentiary aspects of digital forensics · Collaborative intelligent investigation · Intelligent systems in management, storage and reassembly · Steganography, watermarking, and forensic techniques in multimedia content processing · Lightweight security techniques · Intelligent Large-scale investigations and Big Data · Innovative non-repudiation techniques · Intelligent vulnerability analysis and assessment · Attacks tracking · Data hiding, tamper detection and recovery techniques · Security of e- healthcare systems and applications Note: We invite original papers (i.e. work not previously submitted, in submission, or to be submitted to another conference during the reviewing process). Submission Guidelines Interested authors should format their papers according to AAAI formatting guidelines. The papers should be original work (i.e., not submitted, in submission, or submitted to another conference while in review). Papers should not exceed 6 pages (or 4 pages for short paper, to be presented as a poster) and are due by November 16, 2015. For FLAIRS-29, the 2016 conference, the reviewing is a double blind process. Author names and affiliations should be Xd out on submitted papers to provide double-blind reviewing. Papers must be submitted as PDF through the EasyChair conference system, which can be accessed through the main conference web site (http://www.flairs-29.info/) Note: do not use a fake name for your EasyChair login - your EasyChair account information is hidden from reviewers. Authors should indicate the Data Mining special track for submissions. The proceedings of FLAIRS will be published by the AAAI. Authors of accepted papers will be required to sign a form transferring copyright of their contribution to AAAI. FLAIRS requires that there be at least one full author registration per paper.

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Interdisciplinary Postdoctoral Position in Neurodegeneration
by Sharmila Venugopal Sept. 22, 2015

Sept. 22, 2015

Amyotrophic Lateral Sclerosis Postdoctoral Research Position Department of Integrated Biology and Physiology, UCLA A two year Postdoctoral position is available to study the changes in synaptic and membrane properties in brainstem sensory neurons, interneurons and motoneurons in a mouse model of amyotrophic lateral sclerosis (ALS). We use methods that include electrophysiology, pharmacology, molecular biology and computational modeling to understand the mechanisms underlying the disease process. The successful applicant should have a solid background and publication record in using brain slice patch-clamp methodology and be willing to collaborate with an interdisciplinary team. Please send your CV and 1-2 references to: Dr. Sharmila Venugopal (vsharmila(a)g.ucla.edu <https://mail.mednet.ucla.edu/owa/redir.aspx?SURL=Cp9PAbfQ8hjH3yo9m6P6kT5EHJ…>) Department of Integrated Biology and Physiology University of California Los Angeles

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Postdoctoral positions in computational Neuroscience -- Poirazi lab, Crete
by Yiota Poirazi Sept. 22, 2015

Sept. 22, 2015

Could you please advertise these postdoctoral positions in my lab through the NeuroInfo-Comp-Neuro mailing list*?* Thank you very much in advance, Yiota Poirazi ---------------------------------------------------------------------------- *Description:* We are looking for highly motivated candidates to fill 1-2 postdoctoral positions in the laboratory of Panayiota Poirazi at IMBB-FORTH in Crete, Greece. The positions are funded by the ERC starting grant dEMORY, whose goal is to characterize the role of dendrites in learning and memory processes so as to formulate a unifying theory regarding their contribution in memory formation across brain regions and abstraction levels. This will be achieved via the development of computational models at different abstraction levels in the hippocampus the prefrontal cortex and the amygdala. By manipulating the biophysical, anatomical and plasticity properties of dendrites and tracking the effect on memory, the project aims to infer the key rules by which these thin structures shape mnemonic processes. These rules will then form the basis for deducing theoretical abstractions of trainable neurons with dendrites.The project has been running since 2012 and has already produced a number of outcomes, which can be found at the following web sites: www.demory.gr <http://www.demory.gr>, www.dendrites.gr <http://www.dendrites.gr> *Qualifications:* The ideal candidate should have expertise in computational neuroscience, preferably but not necessarily in biophysical modelling, and a deep interest in neural/dendritic computations, learning and memory. *To apply: **_ Application deadline: October 20^th , 2015 (applications will be continuously screened until the positions are filled)._* The position(s) will be available for 2 years, as of November 1st, 2015.*_ _*Salary: 28,000-36,000 Euro (including benefits), depending on experience and career stage. Candidates should send a *resume and two (2) reference letters* to *poirazi[at]imbb.forth.gr*. If possible, recommendations should be sent by the referees. *__* *__* <http://www.dendrites.gr>*THE POIRAZI LAB* The Computational Biology Laboratory <http://www.imbb.forth.gr/people/poirazi/>at IMBB-FORTH performs research that is at the forefront of Computational Neuroscience and places special emphasis on understanding the role of dendrites in information processing and storage. Outcomes of the lab have significantly influenced the field of dendritic computations by providing key predictions that were later verified experimentally. For her contributions to Neuroscience Dr. Poirazi received several awards including the EMBO Young Investigator award, two Marie Curie fellowships, a Starting Grant from the European Research Council (ERC), membership to the Young Academy of Europe and the Young Scientist Community of the World Economic Forum etc. Yiota Poirazi is currently the Chair of FENS-Kavli Network of excellence, a prestigious network of 30 outstanding Neuroscientists whose goal is to shape the future of Neuroscience in Europe and beyond. -- Panayiota Poirazi, Ph.D. Director of Research Computational Biology Laboratory Institute of Molecular Biology and Biotechnology (IMBB) Foundation of Research and Technology-Hellas (FORTH) Vassilika Vouton, P.O.Box 1385 GR 711 10 Heraklion, Crete, GREECE Tel: +30 2810 391139 Fax: +30 2810 391101 Εmail: poirazi(a)imbb.forth.gr http://www.dendrites.gr Chair, FENS-Kavli Network of Excellence http://www.fens.org/Outreach/FENS-Kavli-Network-of-Excellence/

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International Symposium on Prediction and Decision Making 2015
by Kenji Doya Sept. 22, 2015

Sept. 22, 2015

We are pleased to announce the second International Symposium on Prediction and Decision Making. The program and abstracts are available from the web site: https://groups.oist.jp/ncu/international-symposium-prediction-and-decision-… Poster abstract deadline: September 30th Registration deadline: October 16th **** International Symposium on Prediction and Decision Making 2015 Date: October 31st - November 1st (Sat-Sun), 2015 Venue: Koshiba Hall, The University of Tokyo Special Lecture: Wolfram Schultz (University of Cambridge) Neural Circuit for Decision Making: Robert Malenka (Standord University) Anatol Kreitzer (University of California,San Francisco) Bernard Balleine (University of Sydney) Catharine Winstanley (University of British Columbia) Katsuyuki Kaneda (Kanazawa University) Takayuki Teramoto (Kyushu University) Social and Affective Decision Making: Toshio Yamagishi (Tamagawa University) John O’Doherty (California Institute of Technology) Masahiko Haruno (NICT CiNet) Satoshi Umeda (Keio University) Takafumi Minamimoto (National Institute of Radiological Sciences) Hitoshi Okamoto (RIKEN) Model-based Decision Making: Nathaniel Daw (New york University) Masamichi Sakagami (Tamagawa University) A.David Redish (University of Minnesota) David Foster (Johns Hopkins University) Sophie Deneve (ENS) Akihiro Funamizu (OIST) Yu Ohmura (Hokkaido University) Akio Namiki (Chiba University) Computational Psychiatry: Read Montague (Virginia Tech) Mitsuo Kawato (ATR) Mathias Pessiglione (ICM Brain & Spine Institute) Michael J. Frank (Brown University) Hidehiko Takahashi (Kyoto University) Sponsored by Prediction and Decision Making Project, MEXT. http://decisions.jp/english ---- Kenji Doya <doya(a)oist.jp> Neural Computation Unit, Okinawa Institute of Science and Technology 1919-1 Tancha, Onna, Okinawa 904-0495, Japan Phone: +81-98-966-8594; Fax: +81-98-966-2891 https://groups.oist.jp/ncu

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ECML PKDD 2016 call for journal track papers
by Olana Missura Sept. 21, 2015

Sept. 21, 2015

We invite submissions for the journal track of the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECMLPKDD) 2016. The conference provides an international forum for the discussion of the latest high-quality research results in all areas related to machine learning, data mining, and knowledge discovery. The conference will take place in Riva Del Garda, Italy, September 19-23, 2016. This edition will feature a full day of plenary presentations---for papers of general interest to the whole community---and two days of parallel sessions. All accepted papers will be presented both orally and as posters. What papers are eligible for the journal track? Papers on all topics related to machine learning, knowledge discovery, and data mining are invited. However, given the special nature of the journal track, only papers that satisfy the quality criteria of journal papers and at the same time lend themselves to conference talks will be considered. This implies that journal versions of previously published conference papers, or survey papers will not be considered for the special issue. Papers that do not fall into the eligible category may be rejected without formal reviews but can of course be resubmitted as regular papers. Authors are encouraged to adhere to the best practices of Reproducible Research (RR), by making available data and software tools for reproducing the results reported in their papers. For the sake of persistence and proper authorship attribution, we require the use of standard repository hosting services such as http://dataverse.org, http://mldata.org, http://openml.org, etc. for data sets, and http://mloss.org, https://bitbucket.org, https://github.com, etc. for source code. Authors who submit their work to the special ECMLPKDD issues of the journals commit themselves to present their results at the ECMLPKDD 2016 conference in case of acceptance. How to submit? To submit to this track, authors have to make a journal submission to either the Springer Data Mining and Knowledge Discovery journal or the Springer Machine Learning journal, and indicate that the submission is for the “ECMLPKDD 2016" special issue. It is recommended that submitted papers do not exceed 20 pages including references and appendices, formatted in the Springer journal slyle (svjour3,smallcondensed). This is a soft limit, but if a submission exceeds the limit, please provide a brief justification regarding the length in the cover letter. Authors are required to include a cover letter containing a short summary of their contribution (2 pages max), where they address the following questions: 1. What is the main claim of the paper? Why is this an important contribution to the machine learning/data mining literature? 2. What is the evidence provided to support claims? Be precise. 3. What papers by other authors make the most closely related contributions, and how is the paper related to them? 4. Who are the most appropriate reviewers for the paper? Authors are encouraged to suggest up to four candidate reviewers (especially if external to the Guest Editorial Board), including a brief motivation for each suggestion. What is the reviewing process? The journal track allows continuous submissions from the end of September 2015 to March 2016. We expect two cutoffs per month on which we distribute papers to reviewers with the first one being the 27th of September 2015 and the last one being the 30th of March 2016. For papers accepted without revisions we strive for a turn around time of two months. This means that we should be able to include all of those submissions in the special issue. However, in the last years there has often been the need for revisions and we therefore recommend to submit papers as early as possible. Contact You can contact the Journal Track Chairs at jt_chairs(a)ecmlpkdd2016.org.

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CFP 1st International Conference on Complex Information Systems - COMPLEXIS 2016
by Calendar Sites Sept. 21, 2015

Sept. 21, 2015

CALL FOR PAPERS 1st International Conference on Complex Information Systems COMPLEXIS 2016 Website: www.complexis.org April 22 24, 2016 Rome, Italy <http://www.complexis.org/Glossary.aspx#RP> <http://www.complexis.org/Glossary.aspx#RP> Regular Papers Paper Submission: December 1, 2015 Authors Notification: January 28, 2016 Camera Ready and Registration: February 12, 2016 <http://www.complexis.org/Glossary.aspx#PP> <http://www.complexis.org/Glossary.aspx#PP> Position Papers Paper Submission: January 5, 2016 Authors Notification: February 5, 2016 Camera Ready and Registration: February 19, 2016 Workshops Workshop Proposal: November 9, 2015 Special Sessions Special Session Proposal: November 18, 2015 Tutorials, Demos and Panel Proposals December 14, 2015 Sponsored by: INSTICC Institute for Systems and Technologies of Information, Control and Communication INSTICC is Member of: OMG Object Management Group FIPA - The Foundation for Intelligent Physical Agents WfMC Workflow Management Coalition Logistics Partner: SCITEVENTS Science and Technology Events COMPLEXIS The International Conference on Complex Information Systems, aims at becoming a yearly meeting place for presenting and discussing innovative views on all aspects of Complex Information Systems, in different areas such as Informatics, Telecommunications, Computational Intelligence, Biology, Biomedical Engineering and Social Sciences. Information is pervasive in many areas of human activity perhaps all and complexity is a characteristic of current Exabyte-sized, highly connected and hyper dimensional, information systems. COMPLEXIS 2016 is expected to provide an overview of the state of the art as well as upcoming trends, and to promote discussion about the potential of new methodologies, technologies and application areas of complex information systems, in the academic and corporate world. KEYNOTE LECTURES <http://www.complexis.org/KeynoteSpeakers.aspx#1> Peter Sloot, University of Amsterdam, Netherlands; Complexity Institute Singapore, Singapore; ITMO St. Petersburg, Russian Federation PUBLICATIONS All accepted papers will be published in the conference proceedings, under an ISBN reference, on paper and on CD-ROM support. SCITEPRESS is a member of CrossRef ( <http://www.crossref.org/> http://www.crossref.org/) and every paper is given a DOI (Digital Object Identifier). All papers presented at the conference venue will be available at the <http://www.scitepress.org/DigitalLibrary/Default.aspx> SCITEPRESS Digital Library . A short list of papers presented at the conference venue will be selected for publication of extended and revised versions in a special issue of <http://www.ronpub.com/index.php/journals/ojbd> Open Journal of Big Data (OJBD) . A short list of papers presented at the conference venue will be selected for publication of extended and revised versions in a special issue of <http://www.igi-global.com/journal/international-journal-organizational-coll ective-intelligence/1140> International Journal of Organizational and Collective Intelligence. A short list of papers presented at the conference venue will be selected for publication of extended and revised versions in a special issue of <http://www.journals.elsevier.com/future-generation-computer-systems/> Future Generation Computer Systems Journal. A short list of papers presented at the conference venue will be selected for publication of extended and revised versions in a <http://www.journals.elsevier.com/journal-of-network-and-computer-applicatio ns/> Journal of Network and Computer Application. The proceedings will be submitted for indexation by Thomson Reuters Conference Proceedings Citation Index (ISI), INSPEC, DBLP, EI (Elsevier Index) and Scopus. AWARDS The awards will be announced and bestowed at the conference closing session. Please check the website for further information: http://www.complexis.org/BestPaperAward.aspx COMPLEXIS CONFERENCE CHAIR Victor Chang, Leeds Beckett University, United Kingdom PROGRAM CO-CHAIRS Víctor Méndez Muñoz, Universitat Autònoma de Barcelona, UAB, Spain Oleg Gusikhin, Ford Research & Adv. Engineering, United States CONFERENCE AREAS: Each of these topic areas is expanded below but the sub-topics list is not exhaustive. Papers may address one or more of the listed sub-topics, although authors should not feel limited by them. Unlisted but related sub-topics are also acceptable, provided they fit in one of the following main topic areas: 1. COMPLEXITY IN INFORMATICS, AUTOMATION AND NETWORKING 2. COMPLEXITY IN BIOLOGY AND BIOMEDICAL ENGINEERING 3. COMPLEXITY IN COMPUTATIONAL INTELLIGENCE 4. COMPLEXITY IN SOCIAL SCIENCES AREA 1: COMPLEXITY IN INFORMATICS, AUTOMATION AND NETWORKING * Complexity Theory * Chaos Theory and Applications * Quantum Computing * Information and Entropy * Simulation and Modeling * Automation, Control and Robotics * Connected Vehicles * Complex Networks * Internet and the Semantic Web * Big Data Analytics * Usability of Complex Information Systems AREA 2: COMPLEXITY IN BIOLOGY AND BIOMEDICAL ENGINEERING * Complex Biomedical Systems and Signals * Bioinformatics * Computational Biology * Biological and Biomedical Data Mining * Ontology Engineering * Biomedical Signal Processing * Biomedical Imaging and Data Visualization * Health Systems Complexity * Artificial Life * Population Models AREA 3: COMPLEXITY IN COMPUTATIONAL INTELLIGENCE * Complex Adaptive Systems * Evolutionary Computing * Neuro-fuzzy Systems * Self-Organizing Systems * Deep Learning * Non-Linear Dynamics * Decision Making under Uncertainty * Knowledge-Based Systems * Intelligent Multi-agent Systems AREA 4: COMPLEXITY IN SOCIAL SCIENCES * Social Networks * Linguistic and Cognitive Systems * Complexity Management * Data-Driven Models * Visualization * Cultural Models * Multi-Agent Systems * Economic Complexity * Information Systems * Security, Privacy and Trust PROGRAM COMMITTEE <http://www.complexis.org/ProgramCommittee.aspx> http://www.complexis.org/ProgramCommittee.aspx Please check further details at the conference website: http://www.complexis.org/ COMPLEXIS Secretariat Address: Av. D. Manuel I, 27A, 2º esq. 2910-595 Setúbal - Portugal Tel.: +351 265 520 184 Fax: +351 265 520 186 e-mail: <mailto:%20complexis.secretariat@insticc.org> complexis.secretariat(a)insticc.org

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Faculty Position in Biophysics including Neurophysics
by Ralf Wessel Sept. 18, 2015

Sept. 18, 2015

Biological/Biomedical Physics The Department of Physics in the School of Arts and Sciences announces a tenure-track faculty opening at the assistant professor level in Experimental Biological/Biomedical Physics. We are seeking a candidate who will enhance activities within the Physics Department and develop connections with other Arts and Sciences, Engineering School, and Medical School Departments. The duties of the position will include, but are not limited to, teaching and advising students, conducting original research and publishing the results, and participating in departmental and university service. A PhD in Physics or in a closely related field is required, along with an undergraduate degree in Physics and the ability to teach a range of traditional undergraduate physics courses in addition to specialized courses. Candidates are sought who have highly visible research achievements and who have a strong aptitude for teaching and mentoring students at the undergraduate and graduate levels. The appointment will begin Fall 2016. Information on our department can be found at http://www.physics.wustl.edu. Applications should consist of the following: cover letter, current resume including publication record, statement of research interests and plans (up to 5 pages), statement of teaching interests and approach (up to 3 pages), and names and complete contact information (including email addresses) of three references. Application materials must be submitted electronically by email as a single file in editable (e.g. not password protected) PDF format to biophysicssearch(a)physics.wustl.edu. For full consideration applications should be submitted on or before November 1, 2015. -- **************************************************** Ralf Wessel, Associate Professor of Physics Washington University in St. Louis http://www.physics.wustl.edu/people/wessel_ralf http://neuroscience.wustl.edu/ ****************************************************

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Re: [Comp-neuro] PhD Position - Florida International University
by Jorge Riera Diaz Sept. 18, 2015

Sept. 18, 2015

Could you please advertise this PhD position through the NeuroInf-Comp-Neuro mailing list? Thanks in advance! Jorge _____________________________________________ From: Jorge Riera Diaz Sent: Tuesday, September 15, 2015 11:31 AM To: 'comp-neuro-bounces(a)neuroinf.org' Subject: PhD Position - Florida International University PhD Position Neuronal Mass Dynamics lab (https://nmd.fiu.edu/) Department of Biomedical Engineering, Florida International University Description: We are looking for a highly motivated PhD candidate to investigate the mechanisms underlying the Cortical Spreading Depression (CSD). CSD is a disorder of the brain characterized by a transient but complete loss of neuronal function and a complete breakdown in ionic homeostasis in affected brain areas. This disturbance spreads at speeds of 2-7mm/min across the brain. Despite efforts, the propagative agent the CSD wave remains controversial. Goal: The goal of the current research project is to develop a solid bridge between a comprehensive computational model and intracranial data (i.e. VSDI, LFP/MUA, LDF, and IOS) obtained from rats during induced-CSD propagation. The computational model, consisting of partial differential equations (PDEs) that describe voltage dynamics, electro-diffusion of ions and osmotic water flow in the central nervous system, as well as the numerical algorithm to integrate it, will be developed in collaboration with Dr. Yoichiro Mori at the University of Minnesota. Obtaining experimental data and developing algorithms for statistical inference on certain model parameters will constitute the core of the PhD thesis. Data from this study will be used to evaluate mechanisms and principles underlying the genesis of the LFPs, as well as the nature of the EEG and MEG current sources. Qualifications: The ideal candidate should have an interdisciplinary research background with experience in computational neuroscience, biophysical modeling and MATLAB programming. Background in experimental neurophysiology is desirable. Candidates with a MSc in Neuroscience, Biomedical Engineering, Electrical Engineering, Computational Neuroscience or related field will have preferences. This PhD position is supported by NSF funds. As part of this grant, the PhD student will be able to enjoy Summer Internships at the Department of Mathematics of the University of Minnesota. Position should start on summer 2016. However, there might be chances to expedite the entire recruitment process in order to start PhD-related activities on spring 2016. Stipend: $25,000 Tuition: Waived Don't miss this unique opportunity to perform high quality research surrounded by an excellent tropical environment, with incredible attractions and unexpected wonders in the Miami-Dade County. Extra opportunities are available for those interested in scuba diving and beach-related activities. Please, send your Resume to: Jorge Riera, PhD Associate Professor Dept. Biomedical Engineering Florida International University Miami, FL 33174 Tel: 305 348 4948 Email: jrieradi(a)fiu.edu<mailto:jrieradi@fiu.edu>

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Neuroinformatician Blog
by Mohammed Iftekhar Sept. 18, 2015

Sept. 18, 2015

Dear All Neuroinformatician I found Neuroinformatician blog <http://neuroinfos.blogspot.in/p/neuroinformatics-tools.html> i.e http://neuroinfos.blogspot.in/p/neuroinformatics-tools.html which share software ,jobs,events,seminars,conferences,videos and many more resources which is use full for all Neuroscience professional scientist.I found this is very much use full for neuroscience group . so I am sharing the link with all neuroscience community .kindly share this blog information and share information from your side through this blog this can be made popular with the neuroscience professional and make neuroscience research success full. Thanks & Regards -- *Mohammed Iftekhar* *M: 07259699189* *E: iftubip(a)gmail.com <iftubip(a)gmail.com>*

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