- Comp-neuro - lists.cnsorg.org

6th Annual GDR Multielectrode meeting: Registration and submissions are open!
by Blaise Yvert 10 Oct '15

10 Oct '15

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 10 Oct '15

10 Oct '15

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 09 Oct '15

09 Oct '15

------------------------------------------- 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 09 Oct '15

09 Oct '15

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 09 Oct '15

09 Oct '15

--------------------------------------------------------------------------------------- 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 09 Oct '15

09 Oct '15

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 09 Oct '15

09 Oct '15

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 09 Oct '15

09 Oct '15

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 08 Oct '15

08 Oct '15

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 08 Oct '15

08 Oct '15

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 08 Oct '15

08 Oct '15

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 07 Oct '15

07 Oct '15

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 07 Oct '15

07 Oct '15

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 07 Oct '15

07 Oct '15

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 06 Oct '15

06 Oct '15

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 06 Oct '15

06 Oct '15

==================================================== 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 05 Oct '15

05 Oct '15

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 05 Oct '15

05 Oct '15

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 05 Oct '15

05 Oct '15

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 02 Oct '15

02 Oct '15

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 01 Oct '15

01 Oct '15

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 30 Sep '15

30 Sep '15

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 29 Sep '15

29 Sep '15

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 29 Sep '15

29 Sep '15

*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 29 Sep '15

29 Sep '15

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 29 Sep '15

29 Sep '15

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 28 Sep '15

28 Sep '15

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 28 Sep '15

28 Sep '15

========== 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 28 Sep '15

28 Sep '15

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 27 Sep '15

27 Sep '15

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 26 Sep '15

26 Sep '15

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 25 Sep '15

25 Sep '15

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 25 Sep '15

25 Sep '15

****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 24 Sep '15

24 Sep '15

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 24 Sep '15

24 Sep '15

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 23 Sep '15

23 Sep '15

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 23 Sep '15

23 Sep '15

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 23 Sep '15

23 Sep '15

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 22 Sep '15

22 Sep '15

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 22 Sep '15

22 Sep '15

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 22 Sep '15

22 Sep '15

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 21 Sep '15

21 Sep '15

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 21 Sep '15

21 Sep '15

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 18 Sep '15

18 Sep '15

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 18 Sep '15

18 Sep '15

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 18 Sep '15

18 Sep '15

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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Academic faculty positions at Imperial College London.
by Simon Schultz 18 Sep '15

18 Sep '15

Dear all, There is an open hiring round in the Department of Bioengineering at Imperial College London. I would particularly like to encourage strong applications in translational neurotechnology. New hires would be invited to join the Centre for Neurotechnology (http://www.imperial.ac.uk/neurotechnology) The Centre for Neurotechnology hosts the EPSRC CDT in Neurotechnology for Life and Health (offering at least 12 fully funded 4-year PhD studentships per annum), as well as providing access to state of the art equipment and infrastructure for research at the interface between neuroscience and engineering. Best wishes, Simon Schultz -- Simon R Schultz BSc BE ME(Res) DPhil FIET FRMS Reader in Neurotechnology & Royal Society Industry Fellow Neural Coding Laboratory: http://www.schultzlab.org Department of Bioengineering, Imperial College London South Kensington, London SW7 2AZ, UK Director, Imperial College London Centre for Neurotechnology http://www.imperial.ac.uk/neurotechnology Administrator: Dr Kate Hobson, Phone: +44 207 594 5101 ** *Imperial College London*- Department of Bioengineering *Location:* City Of London *Salary:* £46,410 to £57,020 Per annum *Hours:* Full Time *Contract Type:* Permanent *Placed on:* 17th September 2015 *Closes:* 4th December 2015 *Job Ref:* EN20150321FH ** *Lecturer salary range £46,410 to £51,720 per annum* *Senior Lecturer minimum salary £57,020 per annum* Due to rapid growth and the strategic importance of the discipline of bioengineering at Imperial College London, the Department of Bioengineering wishes to appoint up to three new members of academic staff at Lecturer or Senior Lecturer grade. As part of the development of the Michael Uren Biomedical Engineering Research Hub <http://www3.imperial.ac.uk/newsandeventspggrp/imperialcollege/newssummary/n…>within one of the areas identified for growth. We are looking for candidates in the following fields of translational Bioengineering; .Neural Engineering; .Regenerative Medicine; .Synthetic Biology; .Musculoskeletal Bioengineering; .Cardiovascular Engineering; .Cancer Technology; and .Magnetic Resonance Imaging as applied to any of the areas above. Candidates should have an advanced degree (PhD or equivalent) in an appropriate science or engineering discipline and will have demonstrated an ability to generate and execute research at an internationally-leading level. Experience of teaching at all levels is also required. For an informal discussion please contact the Head of Department, Professor Anthony Bull: email a.bull(a)imperial.ac.uk or telephone 020 7594 5186. Our preferred method of application is online via our website at the following link: http://www3.imperial.ac.uk/employment(select "Job Search" and enter the job reference no.*EN20150321FH*). Please complete and upload the application form as directed. *As a requirement please submit up to 2 page documentation specifying your Research Vision Statement. Please identify on application which research area your application applies to.* /Imperial Managers lead by example./ <http://www3.imperial.ac.uk/hr/procedures/support/opportunities/expectations> *Interviews will take place during January 2016* /Committed to equality and valuing diversity. We are also an Athena SWAN Silver Award winner, a Stonewall Diversity Champion, a Two Ticks Employer, and are working in partnership with GIRES to promote respect for trans people/

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Faculty Positions in Applied Mathematics at Northwestern University
by Hermann Riecke 17 Sep '15

17 Sep '15

Northwestern's Department of Engineering Science and Applied Mathematics is seeking to fill two tenure-track faculty positions in Applied Mathematics (starting date Sep 1, 2016). For details, please see http://www.mccormick.northwestern.edu/applied-math/job-opportunities.html Hermann Riecke

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new MATLAB toolbox for Multivariate Transfer Entropy: MuTE
by Alessandro Montalto 16 Sep '15

16 Sep '15

Dear all, I am very pleased to announce the availability of my brand new MATLAB toolbox to detect directed dynamical influences among time series. This new open source software implements four entropy estimators in both uniform and non-uniform embedding approaches. MuTE can perform analyses running some or all methods in parallel sessions. The user should only set the parameters related to the kind of analysis and the specific method/s chosen to assess the directed dynamical influences. For further explanations about the methods and how to set MuTE, please visit the website http://mutetoolbox.guru/ where you can also find the link to the paper that describes MuTE and the link to download it at the following address: http://mutetoolbox.guru/downloads/ Subscribe to the newsletter if you want to be kept updated about future updates of MuTE or follow the toolbox improvements through - twitter: https://twitter.com/mutetoolbox - facebook: https://www.facebook.com/mutetoolbox Best regards, Alessandro Montalto

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NEUROMOD: submission deadline extended (final call)
by Jaime Ibánez Pereda 16 Sep '15

16 Sep '15

Apologies for multiple postings ************************************************************ Dear colleagues, After numerous requests, the submission deadline for NEUROMOD'2015 has been extended until "September 25, 2015". Below you can find the details of the Symposium. *CALL FOR PAPERS* “Symposium on Neuromodulation-based Approaches for Neural Rehabilitation -NEUROMOD 2015” (http://www.neurotechnix.org/neuromod.aspx) In conjunction with the Neurotechnix conference, November 16-17, 2015, Lisbon. *IMPORTANT DATES:* Paper Submission: Extended to September 25th, 2015 Authors Notification: October 6, 2015 Camera Ready and Registration: October 13, 2015 *DETAILS:* Neuromodulation is a rapidly-growing field, encompassing the application of targeted electrical/chemical/biological stimuli to the nervous system in order to improve function and quality of life. At present, an increasing number of implantable and non-invasive techniques are being proposed and made available to the clinicians, to stimulate CNS plasticity and foster recovery from motor, neurological and psychiatric disorders. Advancing in the field of neuromodulation represents challenges to build accurate neurophysiological models, understanding mechanisms of neuromodulation at cellular and systems levels, defining optimal engineering methodologies, and developing clinical application to treat patients. This session provides an opportunity for researchers/engineers/clinicians to present and discuss novel neurorehabilitation paradigms based on neuromodulation targeted at the spinal and/or supraspinal level. Top quality papers at NEUROMOD will be eligible for inclusion in the post-congress IOP journal of best papers or even for the best-paper award to be presented at the main congress, NEUROTECHNIX. *SUBMISSION GUIDELINES:*Authors should submit either a complete paper or a two-page abstract. The link to upload your contribution is: http://www.neurotechnix.org/NEUROMOD.aspx. *ORGANIZERS*: Stefano Piazza, Neural Rehabilitation Group, CSIC, Spain Jaime Ibáñez, Neural Rehabilitation Group, CSIC, Spain Julian Taylor, HNP Toledo, Spain and Stoke Mandeville Spinal Research, United Kingdom

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Job posting - Research Assistant/Data Analyst | Stanford University School of Medicine
by Manish Saggar 16 Sep '15

16 Sep '15

[Apologies for cross-posting] The Center for Interdisciplinary Brain Sciences Research (CIBSR) in the department of Psychiatry at Stanford University School of Medicine is seeking a full-time Research Assistant (Non-Clinical) to help with analyzing large-scale neuroimaging (fMRI/NIRS/EEG) and behavioral datasets from both healthy and patient populations. Responsibilities will include:-Developing software/scripts to implement algorithms for data control, data preprocessing/analysis, database management and coordinating data-sharing initiatives-Developing/running machine learning algorithms to better understand high-dimensional datasets-Assisting in analyzing research data using specific fMRI Neuroimaging programs and/or software (e.g., FSL, AFNI). -Helping with designing and developing novel neuroimaging paradigms for data collection-Collecting new neuroimaging/behavioral data Applicants should have:-B.S. (or higher) in electrical engineering, biomedical engineering, computer science, or other related scientific fields-Strong programming skills in Python, Matlab, or similar languages.-Experience with data science related projects-Prior research experience (preferred)-Experience with UNIX Operating systems (e.g., Linux, Mac OSX) and shell scripting (preferred) General Info: -The applicant will work closely with the team of faculty, post-docs, and research coordinators to track project progress, meet deadlines, anticipate project needs and communicate with project collaborators outside of the lab, train and supervise undergraduate students to assist with data processing, and train other staff as needed. -May require extended or unusual work hours based on research requirements and business needs. Salary and Anticipated Start Date: -Salary is competitive and commensurate with experience/educational qualifications. Anticipated Start Date is immediate. Application details: - Please email Manish Saggar (saggar(a)stanford.edu) to apply, please include a CV including the names of 3 references with your inquiry.

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Research Assistant in Neuro-imaging Technology
by Wong-Lin, Kongfatt 15 Sep '15

15 Sep '15

The Functional Brain Mapping (FBM) facility at the Intelligent Systems Research Centre (ISRC), Ulster University, has an available 2-year fixed term Research Assistant in Neuro-imaging Technology post. Duties and responsibilities of the successful postholder will include conducting periodic tests, maintenance of magnetoencephalography (MEG) system, and management of patients while ensuring their safety. S/he will assist with the supervision of health and safety, risk management, and standard operating procedures pertaining to all activities in the FBM facility. Interested applicants are welcomed to apply at: http://www.jobs.ac.uk/job/ALX092/research-assistant-in-neuro-imaging-techno… Please note that the closing date is on the 30th September 2015. All applicants should hold a degree in bio-medical engineering, medical physics, neuroscience, psychology, medicine, biomedical sciences or a closely related discipline, or a higher degree in the same or related subjects. Applicants are expected to be trained in the fundamentals and applications of MEG technology, and have clinical experience in a MEG lab used as part of a neurophysiology clinic. Successful applicants will be based primarily at the FBM facility at the ISRC with opportunities to interact with other related research teams and clinicians. ------ Dr. KongFatt Wong-Lin Intelligent Systems Research Centre, School of Computing and Intelligent Systems, Faculty of Computing and Engineering, Ulster University, UK ________________________________ 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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FINAL Call for Papers (EXTENDED deadline till 1 Oct 2015): 7th International Conference on Brain Inspired Cognitive Systems (BICS), 11-13 Dec 2015, Hefei, China
by Dr Amir Hussain 15 Sep '15

15 Sep '15

On popular demand, the paper submission DEADLINE has been EXTENDED till 12:00 GMT, 1ST OCTOBER 2015 - for details, see the BICS'2015 (Final) Call for Papers below (with ISI-SCI journal ONLY conference proceedings!) With apologies for any cross-postings, please help circulate this final CFP to friends and colleagues. Thank you in advance. BICS'2015 CFP website: http://www.cs.stir.ac.uk/events/bics2015/cfp_e.html (ALL papers accepted (after a rigorous peer-review process) for presentation at the Conference will be published in the leading ISI-SCI indexed Springer journal: Cognitive Computation (http://springer.com/12559) as a multi-part Special Issue! - for more details, see the conference website, and below) Introduction to BICS'2015: The seventh 2015 International Conference on Brain Inspired Cognitive Systems (BICS 2015) will be held on December 11-13, 2015, in Hefei, Anhui, China, as a sequel of BICS 2004 - 2013. The first BICS 2004 was held in Stirling, Scotland, UK and the last BICS 2013 was held in Beijing, China, 9-13 June 2013 (http://www.conference123.org/bics2013/) The aim of BICS 2015 is to provide a high-level international forum for scientists, engineers, and educators to present the state-of-the-art of brain inspired cognitive systems research and applications in diverse fields. The conference will feature plenary lectures given by world renowned scholars, regular sessions with broad coverage, and special sessions focusing on popular and timely topics. Proceedings Information: BICS 2015 will be unique in that there will be no conference proceedings. ALL accepted papers will be published (following a rigorous peer review process) in the leading ISI-SCI indexed Springer journal: Cognitive Computation (http://springer.com/12559) as a multi-part Special Issue. Conference Location The conference will be held in Anhui University in Hefei, China. Hefei, formerly known as Hofei, Luzhou, or Luchow, is the capital and largest city of Anhui Province in Eastern China. Hefei Xinqiao International Airport provides scheduled passenger service to major airports in China and international cities as well. Hefei plays an important role in scientific research in China. It has seven national laboratories, second only to Beijing. We would be delighted to welcome you to Hefei in December. For more details on the venue, including travel information, see: http://www.cs.stir.ac.uk/events/bics2015/venue_e.html Important Dates (Final Call for Papers) Full paper submission: EXTENDED TILL 1 October 2015 (1200 GMT) First notification: 31 October 2015 Conference Dates: 11-13 December 2015 Revised/final manuscripts due: 31 December 2015 BICS'2015 Issue Publication Date: early 2016 Paper Submission: All prospective authors are invited to submit full-length papers (10-15 pages maximum) through the online Springer submission system (selecting the BICS2015 Special Issue), with a covering letter indicating the paper is being submitted for BICS'2015 (hhttp://www.editorialmanager.com/cogn/ <http://www.editorialmanager.com/cogn/>) - please indicate the relevant BICS Symposium name (see topics list on the Conference website). The submission of a paper implies that the paper is original and has not been submitted under review or copyright protected elsewhere. The authors of accepted papers will have an opportunity to revise their papers. If the paper is accepted, at least one of the authors listed on the paper (or his/her representative) must attend the conference and present the paper. On behalf of: BICS'2015 General co-Chairs: Professor Amir Hussain (University of Stirling, Scotland, UK) and Professor Bin Luo (Anhui University, China) and BICS'2015 Organizing Committee ( http://www.cs.stir.ac.uk/events/bics2015/committee_e.html ) For any enquiries, please email: ahu(a)cs.stir.ac.uk or luobin(a)ahu.edu.cn -- The University is ranked in the QS World Rankings of the top 5% of universities in the world (QS World University Rankings, 2014) The University of Stirling is a charity registered in Scotland, number SC 011159.

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SECOND CALL FOR PAPERS
by Roman Poznanski 15 Sep '15

15 Sep '15

SPECIAL ISSUE ON RETINAL MECHANISMS UNDERLYING MOTION PERCEPTION IN VERTEBRATES JOURNAL OF INTEGRATIVE NEUROSCIENCE This call for papers is dedicated to the work of Vaxim Maximov on the general theme of retinal direction selectivity in vertebrates. All papers are welcome that describes neurophysiology and neural modelling of retinal circuitries underlying motion perception. Some suggestions: 1. Can asymmetry be justified based on anatomical studies showing less inhibitory synapses between SAC and DSGC in the null direction? 2. Is endoplasmic reticulum as a source of calcium heterogeneity underlying DS in SAC? 3. Is calcium bias to somatofugal motion due to intrinsic properties of SAC or is calcium bias in centrifugal motion caused by presynaptic delay in glutamate receptor activation induced calcium? 4. Are SACs are connected asymmetrically to DSGCs: those pointing in the null direction deliver inhibition; those pointing in the preferred direction do not? 5. Is intracellular calcium signal and not the membrane potential (voltage) directionally selective? 6. Direction-selective circuitry in the fish visual system – properties of direction selective units in retina and tectum opticum. 7. Properties of direction selective units in accessory optic systems of lower vertebrates. 8. Modeling of receptive fields of retinal detectors underlying motion perception in fish. Some of the contributing papers for the special issue include: 1. Amane Koizumi, Satoru Moritoh and Roman R. Poznanski (2015) Can heterogeneity of intracellular calcium dynamics underlie directional selectivity in starburst amacrine cells? 2. Ehud Pinsky, Opher Donchin and Ronen Segev (2015) Pharmacological study of direction selectivity in the archer fish retina. 3. Ilija Damjanović (2015) Direction-selective units in goldfish retina and tectum opticum – review and new aspects. 4. Elena M. Maximova, Pavel V. Maximov, Ilija Damjanović, Alexey T. Aliper and Vadim V. Maximov (2015) Color properties of the motion detectors projecting to the goldfish tectum: III. Color-opponent interactions in the receptive field. 5. Vladimir A. Bastakov, Elena Kiseleva, Oleg Yu. Orlov (2015) Direction-selective units in the frog’s nucleus of basal optic root. SUBMISSION 30 September 2015 Contact: Dr. Illija Damjanović, damjanov(a)iitp.ru<mailto:damjanov@iitp.ru> ------- Roman R. Poznanski Professor Laboratory of Biological Modeling The Rockefeller University 1230 York Avenue New York, NY 10065-6399 Office: (212) 327-7646 E-mail: rpoznanski(a)rockefeller.edu http://romanpoznanski.blogspot.com and Chief-Editor, Journal of Integrative Neuroscience http://www.worldscinet.com/jin/mkt/editorial.shtml

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2nd Monash Brain Function Workshop --- Multi-modal approaches to understand brain functions
by Naotsugu Tsuchiya 15 Sep '15

15 Sep '15

2nd Monash Brain Function Workshop --- Multi-modal approaches to understand brain functions Date: Dec 14 (Mon) 2015, 8:50 to 17:00 Venue: Monash Biomedical Imaging facility Overview The goal of this workshop is to offer an opportunity for neuroscientists from different backgrounds to interact and exchange ideas. Specifically, we encourage participation of neuroscientists who are interested in understanding neural systems involved in perception and behaviour, and those who combine multiple methodologies, such as electrophysiology, advanced signal processing, computational modelling and cognitive neuroscience. Note that from Tuesday (Dec 15) the SCiNDU workshop will take place in Brisbane; the Monday workshop will end in time to catch flights from Melbourne to Brisbane. Registration: $50 AUD ($25 AUD for students & postdocs or those who are affiliated with ARC Centre of Excellence for Integrative Brain Function) - Deadline for poster abstracts and early registration: To be announced - Registration - [to be opened soon!] Organizers: Nao Tsuchiya, Nic Price, Alex Fornito, Jeroen van Boxtel, Gary Egan (Monash University) Contact: for questions about this event, please contact Nao Tsuchiya ( naotsugu.tsuchiya(a)monash.edu) Keynote Speakers: Peter Dayan (computational neuroscience, - UCL, UK) Zhaoping Li (computational neuroscience, psychophysics - UCL, UK) Speakers: 1. Lucy Palmer (Florey Institute, Neurophysiology) 2. Andrew Zalesky (University of Melbourne, Neuroimaging/Connectome) 3. Masafumi Oizumi (RIKEN BSI, Japan & Monash University, Computational Neuroscience) 4. Peter Bossarts (University of Melbourne, Neuroeconomics) 5. Pascal Molenberghs (Monash University, Social Neuroscience) 6. Jennifer Windt (Monash University, Philosophy/Cognitive Neuroscience) or 7. Maureen Hagan (Monash University, physiology, Neurophysiology) Supported by Australian Research Council Centre of Excellence for Integrative Brain Function. -- ------------------------------------------------------------------------- Nao (Naotsugu) Tsuchiya, Ph.D. 1. Associate Professor - School of Psychological Sciences, Faculty of Biomedical and Psychological Sciences, Monash University - Monash Institute of Cognitive and Clinical Neurosciences, Monash University 2. ARC Future Fellow homepage: http://users.monash.edu.au/~naotsugt/Tsuchiya_Labs_Homepage

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SFN 2015 Meeting Workshop: Parallel computing resource
by Ted Carnevale 14 Sep '15

14 Sep '15

Find out how to use the Neuroscience Gateway Portal (NSG, http://www.nsgportal.org/) to gain free and easy access to parallel computers for your modeling and data analysis projects. NSG, an NSF-supported resource, already has GENESIS, MOOSE, NEST, NEURON, PyNN, and the Freesurfer software suite already installed and ready for use. The workshop will be held from 9 AM to noon on Saturday, October 17, at a location in downtown Chicago that will be announced to workshop registrants. It will include a hands-on exercise that shows how easy it is to use NSG in your own research. The course agenda is available from http://www.nsgportal.org/workshop.html For more information or to sign up, see http://www.neuron.yale.edu/neuron/static/courses/nsg2015/nsg2015.html or contact Ted Carnevale [ted dot carnevale at yale dot edu] or Amit Majumdar [majumdar at sdsc dot edu]

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PhD candidate on the development of novel machine learning methods for genetics.
by Bahram YoosefiZonooz 14 Sep '15

14 Sep '15

Dear All, I would like to bring to your attention an opening for a Ph.D. candidate position in Machine Learning group led by Prof. dr. H.J. (Bert) Kappen at the Donders institute of the Radboud University in Nijmegen, the Netherlands. For more details: see below, and http://www.ru.nl/donders/jobs/vm/phd-position/ http://www.snn.ru.nl/v2/ SNN Machine Learning group at the Donders institute of the Radboud University, is looking for a PhD candidate for the project titled 'GenoMiX: Utilizing crossbred information to accelerate genetic progress'. The project is implemented jointly with the The Animal Breeding and Genomics Centre of Wageningen UR, and is part of the STW Breed4Food partnership program (www.wageningenur.nl/vacancies-breed4food <http://www.wageningenur.nl/vacancies-breed4food>). The SNN Machine learning group of Prof. Kappen, where the PhD candidate will be hosted, focuses on algorithmic developments in machine learning and Bayesian statistics. See www.snn.ru.nl and *www.snn.ru.nl/~bertk <http://www.snn.ru.nl/~bertk>*. The project is co-supervised by Dr. Kees Albers of the Dept. of Human Genetics, RadboudUMC and Dept. of Molecular Development Biology, also at the Radboud University. The research group of Dr. Kees Albers combines Bayesian statistical modelling with experimental cellular models to identify disease-causing mutations from DNA sequencing data and functional genomics data. *Requirements* Candidates are expected to cooperate in a multidisciplinary team and should be keen on mobility, between the research groups and Breed4Food partners. Good communication skills and fluency in English is expected from all candidates. *Conditions of employment* We offer challenging position in an inspiring multidisciplinary and international environment. You will be part of a research team involving multiple universities. You are expected to spend time at different locations to ensure that you benefit from the partners involved in your project. You will actively engage in meetings organised by the Breed4Food consortium. The proposed start is in the autumn of 2015. As a PhD candidate, you will be offered a fulltime position for 4 years, after which you should have completed your PhD thesis and individual training plan. The salary for a PhD candidate starts at € 2.125,- gross per month in the first year and extends to a maximum of € 2.717,- gross per month in the fourth year (in accordance with the Collective Labour Agreement for Dutch Universities). *Contract type*: Temporary, Onbekend Additional information about the vacancy can be obtained from: Prof. Dr Bert Kappen (+31 24 36414241, b.kappen(a)science.ru.nl) or Dr Kees Albers (+31 24 36 67325;kees.albers(a)radboudumc.nl)

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NEURON course at SFN 2015 meeting
by Ted Carnevale 14 Sep '15

14 Sep '15

A few seats remain available for the NEURON course at this year's meeting of the Society for Neuroscience, but you'll have to act quickly because the registration deadline is Friday, Oct. 2. If you're a lab director trying to decide whether to add computational modeling to your research program, a grad student or postdoc who is just getting started in modeling, or an established NEURON user who wants to find out what the latest advances are, this one-day course is for you! It starts with a practical introduction that reviews basic concepts and presents a workflow for building and using models of cells and networks, and moves on to topics that include how to speed up simulations, using Python with NEURON, and modeling reactive diffusion with the RxD class. For more information and the registration form, see http://www.neuron.yale.edu/neuron/static/courses/chi2015/chi2015.html --Ted

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Re: [Comp-neuro] CFP: German - Japanese Workshop on Adaptive BCIs@Kyoto 2015, 28-29 Oct.
by Shigeyuki Oba 14 Sep '15

14 Sep '15

German - Japanese Workshop on Adaptive BCIs@Kyoto 2015, 28-29 Oct. See http://ishiilab.jp/bci/ for detail. Dear colleagues, Upon several requests, we extended the due date for poster presentation for the upcoming Workshop on Adaptive Brain Computer Interfaces. Important dates: Submittion of poster abstract: 1st October, 2015. (EXTENDED) Registration for participants: 1st October, 2015. Workshop: 28th--29th October, 2015. Contact information: Web: http://ishiilab.jp/bci/ E-mail: adaptive-bci-2015[at]googlegroups.com Best Wishes, Klaus-Robert Müller and Shigeyuki Oba ----- Dear Colleagues, We are pleased to announce the upcoming Workshop on Adaptive BCIs. Since the advent of the technology, Brain-Computer Interfacing (BCI) aims to reliably translate recorded brain signals, e.g., EEG, into control commands for a computer. Although there have been great improvements over the last decades, current BCIs are still scarcely used outside laboratories. One major limitation preventing the prevalence of this promising technology into everyday life of, e.g., patients, is the lack of robustness and reliability. Adaptive BCIs compensate for changes encountered in real-world environments and are robust against nonstationarity (i) induced by external causes such as a change in the experimental environment or artifactual noise sources and (ii) internal causes, namely fluctuations of brain states e.g. slow ones due to fatigue or brisk ones caused by distraction of the subject. Co-adaptivity is an important ingredient of such systems, since in a ever-changing environment, it is not only the machine that needs to adapt to changes in signal statistics, it is also the user who has to adapt his strategies in order to cope with fluctuations in background noise and sensory input. This workshop presents recent developments in the field and aims at providing tools for neuroscientists and practitioners that enable them to go beyond restricted laboratory paradigms and study the brain while the subject is interacting with his/her natural environment. The workshop consists of 13 invited talks and a poster session. The poster session will allow participants to interact and present their own ideas and findings on from theoretical to practical aspects of BCI studies. Confirmed speakers: A. Cichocki (Riken, Japan) S. Fazli (Korea University, Korea) M. Kawanabe (ATR, Japan) P-J. Kindermans (TU Berlin, Germany) K-R. Müller (TU Berlin, Germany) S. Nishimoto (Osaka University, Japan) W. Samek (Fraunhofer HHI, Germany) M. Sugiyama (Univ. of Tokyo, Japan) J. Hirayama (ATR, Japan) R. Fukuma (Osaka University, Japan) J. Fujiki (Fukuoka University, Japan) S. Oba (Kyoto University, Japan) M. Cuturi (Kyoto University, Japan) We are also calling for poster presentations. The title and abstract will be published via Frontiers publishing system. Participation fee is not required. Important dates: Submittion of poster abstract: 1st October, 2015. Registration for participants: 1st October, 2015. Workshop: 28th--29th October, 2015. 2015-09-01 12:47 GMT+09:00 Shigeyuki Oba <oba(a)i.kyoto-u.ac.jp>: > German - Japanese Workshop on Adaptive BCIs@Kyoto 2015, 28-29 Oct. > See http://ishiilab.jp/bci/ for detail. > > > Dear Colleagues, > > We are pleased to announce the upcoming Workshop on Adaptive BCIs. > > > Since the advent of the technology, Brain-Computer Interfacing (BCI) > aims to reliably translate recorded brain signals, e.g., EEG, into > control commands for a computer. Although there have been great > improvements over the last decades, current BCIs are still scarcely > used outside laboratories. One major limitation preventing the > prevalence of this promising technology into everyday life of, e.g., > patients, is the lack of robustness and reliability. > Adaptive BCIs compensate for changes encountered in real-world > environments and are robust against nonstationarity (i) induced by > external causes such as a change in the experimental environment or > artifactual noise sources and (ii) internal causes, namely > fluctuations of brain states e.g. slow ones due to fatigue or brisk > ones caused by distraction of the subject. Co-adaptivity is an > important ingredient of such systems, since in a ever-changing > environment, it is not only the machine that needs to adapt to changes > in signal statistics, it is also the user who has to adapt his > strategies in order to cope with fluctuations in background noise and > sensory input. > This workshop presents recent developments in the field and aims at > providing tools for neuroscientists and practitioners that enable them > to go beyond restricted laboratory paradigms and study the brain while > the subject is interacting with his/her natural environment. > The workshop consists of 13 invited talks and a poster session. The > poster session will allow participants to interact and present their > own ideas and findings on from theoretical to practical aspects of BCI > studies. > > > Confirmed speakers: > A. Cichocki (Riken, Japan) > S. Fazli (Korea University, Korea) > M. Kawanabe (ATR, Japan) > P-J. Kindermans (TU Berlin, Germany) > K-R. Müller (TU Berlin, Germany) > S. Nishimoto (Osaka University, Japan) > W. Samek (Fraunhofer HHI, Germany) > M. Sugiyama (Univ. of Tokyo, Japan) > J. Hirayama (ATR, Japan) > R. Fukuma (Osaka University, Japan) > J. Fujiki (Fukuoka University, Japan) > S. Oba (Kyoto University, Japan) > M. Cuturi (Kyoto University, Japan) > > > We are also calling for poster presentations. The title and abstract > will be published via Frontiers publishing system. > > Participation fee is not required. > > Important dates: > Submittion of poster abstract: 15th September, 2015. > Registration for participants: 1st October, 2015. > > Contact information: > Web: http://ishiilab.jp/bci/ > E-mail: adaptive-bci-2015[at]googlegroups.com > Best Wishes, > > Klaus-Robert Müller and Shigeyuki Oba > > > -- > ----- > Shigeyuki Oba > Graduate School of Informatics, Kyoto University > oba(a)i.kyoto-u.ac.jp > http://ishiilab.jp/member/oba -- ----- Shigeyuki Oba Graduate School of Informatics, Kyoto University oba(a)i.kyoto-u.ac.jp http://ishiilab.jp/member/oba

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Open Postdoc Position in Computational Neuroscience/ Data Analytics
by Prof Sonja Gruen 14 Sep '15

14 Sep '15

The Statistical Neuroscience lab of Prof. Sonja Grün at the Institute of Neuroscience and Medicine, Computational and Systems Neuroscience (INM-6) and the Institute for Advanced Simulation (IAS-6), Research Centre Juelich, invites applications for a postdoctoral positions for research in computational neuroscience / data analytics. The lab works on concepts to understand network processing in the cortex based on models and experimental functional data. The approaches range from development of statistical methods, analysis of electrophysiological data, integration of data into network models, and the development of neuroinformatics tools. The group interacts intensely with other groups in the INM and the Supercomputing Center, but is also pursuing intense collaborations with external, experimental groups that record functional data in relation to complex behavior. The group contributes its expertise in advanced data analysis and neuroinformatics to the European Human Brain Project (HBP). For more details and online application see <http://www.fz-juelich.de/SharedDocs/Stellenangebote/_common/dna/2015-194-EN…>http://www.fz-juelich.de/SharedDocs/Stellenangebote/_common/dna/2015-194-EN…, Reference number: 2015-194 -- Prof. Dr. Sonja Gruen Institute of Neuroscience and Medicine (INM-6) Computational and Systems Neuroscience Institute for Advanced Simulation (IAS-6) Theoretical Neuroscience Juelich Research Centre and JARA Juelich, Germany and Theoretical Systems Neurobiology RWTH Aachen University Aachen, Germany tel. +49-(0)2461-61-4748 (secr), -9302, -9460 (fax) mob. +49-(0)175-2972436 s.gruen(a)fz-juelich.de<mailto:s.gruen@fz-juelich.de> www.csn.fz-juelich.de<http://www.csn.fz-juelich.de> ------------------------------------------------------------------------------------------------ ------------------------------------------------------------------------------------------------ Forschungszentrum Juelich GmbH 52425 Juelich Sitz der Gesellschaft: Juelich Eingetragen im Handelsregister des Amtsgerichts Dueren Nr. HR B 3498 Vorsitzender des Aufsichtsrats: MinDir Dr. Karl Eugen Huthmacher Geschaeftsfuehrung: Prof. Dr.-Ing. Wolfgang Marquardt (Vorsitzender), Karsten Beneke (stellv. Vorsitzender), Prof. Dr.-Ing. Harald Bolt, Prof. Dr. Sebastian M. Schmidt ------------------------------------------------------------------------------------------------ ------------------------------------------------------------------------------------------------

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1st CfP: ACHI 2016 || April 24 - 28, 2016 - Venice, Italy
by Cristina Pascual 11 Sep '15

11 Sep '15

INVITATION: ================= Please consider to contribute to and/or forward to the appropriate groups the following opportunity to submit and publish original scientific results to: - ACHI 2016, The Ninth International Conference on Advances in Computer-Human Interactions The submission deadline is December 8, 2015. Authors of selected papers will be invited to submit extended article versions to one of the IARIA Journals: http://www.iariajournals.org ================= ============== ACHI 2016 | Call for Papers =============== CALL FOR PAPERS, TUTORIALS, PANELS ACHI 2016, The Ninth International Conference on Advances in Computer-Human Interactions General page: http://www.iaria.org/conferences2016/ACHI16.html Submission page: http://www.iaria.org/conferences2016/SubmitACHI16.html Event schedule: April 24 - 28, 2016 - Venice, Italy Contributions: - regular papers [in the proceedings, digital library] - short papers (work in progress) [in the proceedings, digital library] - ideas: two pages [in the proceedings, digital library] - extended abstracts: two pages [in the proceedings, digital library] - posters: two pages [in the proceedings, digital library] - posters: slide only [slide-deck posted at www.iaria.org] - presentations: slide only [slide-deck posted at www.iaria.org] - demos: two pages [posted at www.iaria.org] - doctoral forum submissions: [in the proceedings, digital library] Proposals for: - mini symposia: see http://www.iaria.org/symposium.html - workshops: see http://www.iaria.org/workshop.html - tutorials: [slide-deck posed on www.iaria.org] - panels: [slide-deck posed on www.iaria.org] Submission deadline: December 8, 2015 Sponsored by IARIA, www.iaria.org Extended versions of selected papers will be published in IARIA Journals: http://www.iariajournals.org Print proceedings will be available via Curran Associates, Inc.: http://www.proceedings.com/9769.html Articles will be archived in the free access ThinkMind Digital Library: http://www.thinkmind.org The topics suggested by the conference can be discussed in term of concepts, state of the art, research, standards, implementations, running experiments, applications, and industrial case studies. Authors are invited to submit complete unpublished papers, which are not under review in any other conference or journal in the following, but not limited to, topic areas. All tracks are open to both research and industry contributions, in terms of Regular papers, Posters, Work in progress, Technical/marketing/business presentations, Demos, Tutorials, and Panels. Before submission, please check and comply with the editorial rules: http://www.iaria.org/editorialrules.html ACHI 2016 Topics (for topics and submission details: see CfP on the site) Call for Papers: http://www.iaria.org/conferences2016/CfPACHI16.html ============================================================ INTER: Interfaces Graphical user interfaces; Intelligent user interfaces; Adaptive user interfaces; Multi-modal user interfaces; Context-based interfaces; Virtual reality and 3D interfaces; Speech and natural language interfaces; Interfaces for collaborative systems; Interfaces for restricted environments; Internationalization and reflections of culture on interface design; Interfaces for disadvantaged users; Interface specification and design; Interface prototyping; Interface testing; Interface evaluation; Interface generators and other tools for developing interfaces; Data visualization; Visualization techniques; Interactive visualization OUI: Organic user interfaces Interface-oriented materials and devices; Physical and digital representation; Sensing and display technologies; Rollable and foldable displays with tactile properties; Skin-based input; Analog input interaction design; Flexible display technologies; Functional-based display forms; Flexible-computing and curve computer interactions; 3D continuous display interfaces HAPTIC: Haptic interfaces Fundamental of haptic interactions; Tangible user interfaces; Bidirectional information flow ; Haptography; Haptic feedback and control; Bodyware (embedded sensors; flexible structures, associative memories, actuation and power systems); Magnetic levitation haptic interfaces; Kinetic motion-based interaction; Kinetic motion and haptic design; Mindware (learning, adaptation, head-hand coordination, bimanual coordination; discovering affordance, interaction and imitation); Language of motion / Gesture annotation; Interfaces with kinetic properties; Sensor actuator design, development and evaluation; Linear haptic display; Fingertip haptic display; Pen based force display; High bandwidth force display; Quality of experience model for haptic interactions; Haptics rendering; SYSTEMS: Interactive systems Highly interactive systems; Intelligent agents and systems; Adaptive systems; Context-aware systems; Multi-user multi-interface systems; Collaborative systems; Computer-supported cooperative work; Distributed information spaces; Communicators and advisory systems; Interaction through wireless communication networks DEVICES: Interaction devices General input and output devices; Virtual reality input and output devices; Interaction devices for immersive environments; Shareable devices and services; Mobile devices and services; Pervasive devices and services; Small displays; Very large displays; Tangible user interfaces; Wearable computing; Interaction devices for disadvantaged users; Interaction devices for computer games DESIGN & EVAL: Interaction & interface design & evaluation Interface metaphors; Interaction styles; Interaction paradigms; Requirements specification methods and tools; Analysis methods and tools; Design methods and tools; Evaluation paradigms; Evaluation methods and tools; Evaluation frameworks; Scenarios; Task analysis; Conceptual design; Physical design; Information architecture; Information design for websites; Guidelines and heuristics; Experience design; Environmental design; Ethnography; Contextual design; Service design; MODELS: Principles, theories, and models Cognitive models; Conceptual models; Mental models; Frameworks for cognition; Model-based design of interactive systems; Formal methods in human-computer interaction USER: User modeling and user focus Usability and user experience goals; User testing; User modeling; User profiling; Predictive models (e.g., for user delay prediction); Human perceptible thresholds; User support systems; Psychological foundations for designing interactive system; Human information processing; Digital human modeling; Engineering psychology; Ergonomics; Hearing and haptics; Affective computing PARADIGMS: Traditional and emerging paradigms Interaction paradigms; Mobile computing; Wearable computing; Location-aware computing; Context-aware computing; Ubiquitous computing; Pervasive computing; Transparent computing; Attentive environments; Virtual reality; Augmented reality and tangible bits; Immersive environments; Human-based computation; Visual languages and environments; End-user programming; Hypermedia advances and applications; New visions of human-computer interaction ACCESS: Usability and universal accessibility Interaction and interface design for people with disabilities; Interaction and interface design for the young and the elderly; Universal access and usability; Usability engineering; Usability testing and evaluation; Usability and internationalization HUM-ROBOTS: Human-robot interaction Fundamentals of human-robot cooperation; Cognitive models of human-robot interaction; Adaptable autonomy and knowledge exchange; Autonomy and trust; Awareness and monitoring of humans; Task allocation and coordination; Human guided robot learning; User evaluations of robot performance; Metrics for human-robot interaction; Long-term interaction robotics; Health and personal care robotics; Social Robotics; Multi-modal human-robot communication; Robot intermediaries; Experiments and applications HUM- AGENTS: Agents and human interaction Principles of agent-to-human interaction; Models for human-agent interaction; Social persuasion in human-agent interaction; Designing for human-agent interaction; Socially intelligent agents and the human in the loop; Agents for human-human interaction; Agent-based human-computer-interaction; Human cooperation and agent-based interaction; Human interaction with autonomous agents Agent-based human-robot interaction; Human and artificial agents emotional interaction SOCIAL: Social aspects of human-computer interaction Societal implications of human-computer interactions; Social computing and software Online communities Weblogs and other community building tools Online support for discovery and creativity; Tool support for discovery and innovation Expressive and attentive interfaces and environments Affective aspects of human-computer interaction Emotional design GAMES: Computer games and gaming Computer game technology; Computer game engineering; Foundations of computer game design and development; Development processes and supporting tools; Management aspects of computer game development; Architectures and frameworks for computer games; Game-based training and simulation; Serious games; Multi-user games; Online games; Online gaming; Game theories; Audio, video and text in digital games; New computer games and case studies; Performance improvements in computer games; Social impact of games and gaming EDUCATION: Human-computer interaction in education and training Interactive systems for education and training; Online and communications support for education and training; Interfaces, interactions and systems for distance education; Software tools for courseware development and delivery; Collaborative systems for teaching, studying and learning; Handheld mobile devices for education and training; Advisory and recommendation systems Techniques and tools for information localization, retrieval & storage; Web annotation systems; Case studies and applications MED APPS: Applications in medicine Interactive systems for medical applications; Interactive systems for telemedicine; Interactive systems for telehealth; Interactive systems for telepathology; Interactive systems for telecardiology; Interactive systems for telesurgery; Interactive personal medical devices; Digital imagery and visualization frameworks; Role of colors and color imaging in medicine; Multidimensional projections with application to medicine; Data mining and image retrieval techniques for medical applications; Imaging interfaces and navigation; Internet imaging localization, retrieval and archiving; Video techniques for medical images; Internet support for remote medicine; Computer-controlled communications for medical applications; Medical informatics; Software and devices for patient monitoring; Interactive software for therapy and recovery TELECONF: Teleconferencing Fundamentals for teleconferencing; Platforms for teleconferencing; Devices for teleconferencing; Videoconferencing, Web Conferencing; Performance in teleconference applications; Real-time aspects in teleconferencing; Privacy and security in teleconference applications; QoS/SLA for teleconferencing applications; Teleconferencing services; Business models for teleconferencing APPLICATIONS: Other domain applications Interactive interfaces and systems for scientific applications; Interactive interfaces and systems for engineering applications; Interactive interfaces and systems for business applications; Interactive interfaces and systems for activities in arts & humanities; Interactive interfaces and systems for scientific research; Other applications of interactive interfaces and systems ------------------------ ACHI 2016 Committee: http://www.iaria.org/conferences2016/ComACHI16.html =================

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Phd Student Neuroinformatics
by Sharon Crook 10 Sep '15

10 Sep '15

A PhD Research Assistantship is available in the Laboratory for Computational Neuroscience and Neuroinformatics with Dr. Sharon Crook and Dr. Rick Gerkin at Arizona State University. We seek a student interested in research on reproducible computational neuroscience. Through the Arizona State University Interdisciplinary PhD in Neuroscience (https://neuroscience.asu.edu) this student will help develop tools to encode, exchange and validate neuron and circuit models against experimental data in collaboration with an international team of researchers working in this area. Experience with Python programming and version control systems is desired. Contact Dr. Sharon Crook at sharon.crook(a)asu.edu for more information about how to apply. Sharon Crook Associate Professor of Mathematics, Statistics and Life Sciences Arizona State University Vice President, Organization for Computational Neuroscience http://neuroml.org

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Research Associate in Computational Neuroimaging and Data Analytics
by Wong-Lin, Kongfatt 10 Sep '15

10 Sep '15

Applications are invited for the following post: Research Associate at the University of Ulster A major aim of this one-year research project is to make use of a combination of computational neuroimaging, data analytics and cloud/high-performance computing to analyse heterogeneous data, extract patterns and predict dementia. The types of data include brain imaging, biological, medical and lifestyle datasets. This timely, exciting and high-impact project is available in Ulster University's Computer Science Research Institute and is tenable in the Faculty of Computing and Engineering at the Magee campus. The project is in collaboration with Queen's University Belfast, the Clinical Translational Research and Innovation Centre (C-TRIC), and two computing/tech companies. The successful applicant will utilize knowledge in computational neuroscience/neuroimaging, data analytics, mathematical/statistical modelling and cloud/high-performance computing in the research. The postholder will join a growing multidisciplinary research team, embedded within a wider health analytics network, and will benefit from the expertise of Ulster's computational neuroscience/neuroimaging and intelligence and data analytics. Our Ulster's Intelligent Systems Research Centre has recently upgraded its computing facilities to enable state-of-the-art data analytics research. The postholder will be trained with a unique and highly sought set of skills that combine brain imaging analysis with data analytics. S/he will have the opportunity to interact with other biomedical/translational/clinical researchers in the team, and learn about advanced software development, knowledge transfer and entrepreneurship. In particular, the postholder will interact regularly with the Northern Ireland Integrated Health Analytics Centre. All applicants should hold or about to obtain a Ph.D. degree in Computing, Engineering, Computational Neuroscience, Computational Sciences, Neuroscience, Statistics, Mathematics, Physics, or a related discipline. Applicants must be highly motivated and willing to pursue research and develop skills and knowledge across disciplines. The application process for the post is opened with a closing date for applications on the 30th September 2015, and interviews will be held shortly after. The successful applicant is expected to start sometime in October 2015. Further details can be found at: http://www.jobs.ac.uk/job/ALX095/research-associate-in-health-analytics/ We prefer to issue and receive applications via our on-line recruitment website at www.ulster.ac.uk/jobs If you wish to discuss further regarding this post or the research project, please contact: Dr. KongFatt Wong-Lin, tel: +44 028 7167 5320, e-mail: k.wong-lin(a)ulster.ac.uk ________________________________ 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 analyzing and modeling dendritic morphology and growth
by Erik De Schutter 10 Sep '15

10 Sep '15

A postdoctoral researcher or staff scientist position is available in the Computational Neuroscience Unit <https://groups.oist.jp/cnu> of Prof. Erik De Schutter at the Okinawa Institute of Science and Technology Graduate University <http://www.oist.jp/>, Japan. We are looking for a postdoc with a (computational) neuroscience background to study the morphology and growth of neuronal dendrites in the olivocerebellar system. We investigate this from the perspective of neuron populations and consider the relations between neighboring dendrites explicitly (Context-aware modeling of neuronal morphologies <http://journal.frontiersin.org/article/10.3389/fnana.2014.00092/abstract>). Depending on experience and interest the focus of the research can be analysis of in vivo and EM data and/or modeling the growth of forests of dendrites. You will collaborate with scientists at OIST and abroad in addition to the daily interaction with other researchers and students in the lab who are working on cerebellar modeling projects, analyzing cerebellar recordings or developing software. We offer attractive financial and working conditions in an English language graduate university that emphasizes interdisciplinary research, located on the beautiful subtropical island of Okinawa. Send curriculum vitae, a summary of research interests and experience, and the names of three referees to Prof. Erik De Schutter at erik(a)oist.jp Prof. Erik De Schutter Computational Neuroscience Unit Okinawa Institute of Science and Technology 1919-1 Tancha, Onna-Son Okinawa 904-0495 JAPAN phone: +81-98-966-8727 fax: +81-98-966-8718 erik(a)oist.jp http://groups.oist.jp/cnu

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Postdoctoral Scholar Position in the Neuromorphic Machine Intelligence Lab, UC Irvine
by Emre Neftci 10 Sep '15

10 Sep '15

A Postdoctoral Scholar position is available, contingent upon funding, in the field of Neuromorphic Engineering and Machine Learning within the Department of Cognitive Sciences at the University of California, Irvine. The research involves developing spiking neural network models of neural sampling and on-line learning for digital neuromorphic hardware. The applicant will work closely with neuromorphic engineers and computational neuroscientists. The applicant will be involved in various aspects of research involving neural modeling, machine learning, data analysis, and manuscript preparation. Requirements - The candidate must have a Ph.D. in Cognitive Sciences, Physics, Neuroscience, Computer Science, or Engineering and expertise in computational neuroscience and/or machine learning with strong programming skills. The candidate should have a working knowledge of spiking neural networks, synaptic plasticity and other neurobiological learning rules. Knowledge with the C/C++ and the CUDA programming environment on Linux and Windows systems is desirable and experience in deep learning is a plus. This position is full-time and includes benefits. Salary is commensurate with experience. Application Procedure - Please submit a letter of interest, CV, and the names of two-three references at: https://recruit.ap.uci.edu/apply/JPF03105 The University of California, Irvine is an Equal Opportunity/Affirmative Action Employer advancing inclusive excellence. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, protected veteran status, or other protected categories covered by the UC nondiscrimination policy. Learn More: More information about this recruitment: http://www.cogsci.uci.edu/employment.php Requirements: - Documents: - Cover Letter (Optional) - Curriculum Vitae - Your most recently updated C.V. - References: - 2-5 references required (contact information only) -- Emre Neftci, PhD (ETH Zurich), Assistant Professor, Neuromorphic Machine Intelligence Lab (http://nmi-lab.org/) Department of Cognitive Sciences, 2308 Social & Behavioral Sciences Gateway Building, UC Irvine 92697-5100

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Faculty Positions in Theory and the Biological Sciences at the Graduate Center
by Asohan Amarasingham 10 Sep '15

10 Sep '15

Dear Colleagues, Please make note of the following faculty search for theorists working in biology, at the CUNY Graduate Center. Best regards, Asohan Amarasingham Biology Program and Initiative for the Theoretical Sciences The Graduate Center, City University of New York http://gc.cuny.edu/biology and http://www.gc.cuny.edu/Page-Elements/Academics-Research-Centers-Initiatives… The Graduate Center of the City University of New York has launched an Initiative for the Theoretical Sciences (ITS), with the goal of building a multidisciplinary community of faculty, postdoctoral fellows, students, and visitors, all united by their interest in the mathematical description of nature. In the current academic year, we are searching for faculty members whose research interests are focused on the phenomena of life, but whose methods and style are grounded in the traditions of theoretical physics and applied mathematics. Applications will be considered across the full range of biological topics, from the dynamics of single molecules to the behavior of animal groups; we are especially interested in candidates whose interests transcend historical boundaries among the subfields of biology. Appointments will be made through the PhD program in Biology, with affiliations to other doctoral Programs possible (e.g. Physics, Mathematics, Computer Science), as appropriate. Positions are available at all academic ranks, although it is the preference of the Graduate Center to make appointments with tenure (Associate Professor and above). Applicants are expected to demonstrate an outstanding record of independent research accomplishment and creativity, as well as an interest in mentoring and community building. In particular, faculty recruited in this search will play a crucial role in the further development of ITS, across the full range of intellectual opportunities for theory in the natural sciences. Applicants should submit CV, a research statement, and three reference letters to Prof. Laurel A. Eckhardt, Search Chair, through the City University Employment online portal (cuny.jobs), and entering the Job ID “13244” under “What.” CUNY is an equal opportunity employer and encourages applications from groups underrepresented in the scientific community.

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Postdoctoral position in Computational/Mathematical Neuroscience at the Toronto Western Research Institute/UHN
by Jeremie Lefebvre 09 Sep '15

09 Sep '15

Dear colleagues, The recently established computational neuroscience and non-linear dynamics research group at the Toronto Western Research Institute, headed by Jérémie Lefebvre, has an opening for a postdoctoral fellowship, focusing on the behavior of driven cortical networks, neural oscillations and the dynamics of neurological disorders. More information about the lab can be found here<https://sites.google.com/site/lefebvresynclab/> and here<http://www.uhnres.utoronto.ca/researchers/profile.php?lookup=63509>. Applicants must possess, or be close to submitting, a PhD in Physics/Applied Mathematics/Engineering/Neuroscience with an academic record of scientific excellence, research expertise and demonstrating strong interest in computational neuroscience and mathematical biology. Strong skills in computer programming (C, Matlab, Python,etc), modeling and data analysis are expected. Knowledge in neuroscience, imaging, signal processing and and/or dynamical systems would be also be seen as assets. The initial appointment is for 12 months, renewable for another year, and potentially longer depending on funding. Salary is competitive, and the start date is negotiable. The lab is set in the Krembil Discovery Tower, a state-of-the-art research and clinical center built in 2013, and located next to the Toronto Western Hospital and affiliated to the University Health Network, a hub of clinical and research facilities located in the heart of Toronto, Canada. The UHN is Canada's largest research hospital and has a proud history of innovative research and important discoveries. As such, successful candidates will be immersed in a highly interdisciplinary environment that stimulates the synergy between computational, experimental and clinical approaches. Close collaboration with the University of Toronto (notably via the Department of Mathematics) further enhances the range of research/collaboration prospects. To learn more about research at UHN, please click here<http://www.uhn.ca/Research>. Applications packages, consisting of: 1. one letter of motivation, 2. a one page statement of research interests, 3. an up-to-date CV with publications and finally 4. The contact information for two letters of references (to be solicited at a later stage) should be uploaded directly on the UHN recruitment portal (see below). It is mandatory that all applications go through the UHN submission system. Deadline is October 1st, 2015. Only selected candidates will be contacted for an interview. UHN posting and application link<https://www.recruitingsite.com/csbsites/uhncareers/JobDescription.asp?SiteI…> (Job Posting #762714) Regards, Jeremie Lefebvre

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Postdoctoral Position in Computational and Systems Neuroscience
by Escabi, Monty 09 Sep '15

09 Sep '15

Dear Colleagues We have a postdoctoral postion available in computational and systems neuroscience. Details of the position can be found at http://escabilab.uconn.edu/2015/08/13/postdoctoral-position-in-computationa… and are also posted below. Please share this information with anyone who may be interested. Thanks very much! Monty _\\|//_ (' O-O ') ---------------------------ooO-(_)-Ooo-------------- Monty A. Escabi, Ph.D. Associate Professor University of Connecticut Electrical & Computer Engineering Biomedical Engineering 371 Fairfield Way, Unit 4157 Storrs, CT 06269-4157 ---------------------------------------------------------- Postdoctoral Position in Computational and Systems Neuroscience Position: The Physiological Acoustics Lab (http://escabilab.uconn.edu) at the University of Connecituct seeks applicants for a postdoctoral position in systems and computational neuroscience. We are seeking applicants that can lead a project on coding of natural sound statistics in the auditory midbrain and cortex of awake animals. The primary appointment will be in Biomedical Engineering, but the work will be conducted in collaboration with Psychology department (Statistical Neuroscience Lab, http://stevenson.lab.uconn.edu; Sensory Perception and Neuroscience Lab, http://read.lab.uconn.edu) and Electrical and Computer Engineering. Qualifications: A PhD in Neuroscience, Biomedical Engineering, Electrical Engineering, Computational Neuroscience or related field is required. The ideal candidate will have an interdisciplinary research background in computational and systems neuroscience with prior research experience in awake animal neurophysiology. A strong computational background in neural data analysis is desirable, particularly modeling complex neural systems and analyzing datasets from large-scale multi-channel neural recordings. Background in acoustic signal processing, sound recognition, and machine learning are also desirable. Appointment: The position is funded through an R01 and is available immediately. Salaries follow NIH post-doctoral scale and are based on experience. Applicants should email “escabi at engr dot uconn dot edu” a single PDF file containing: 1) a resume including past research experience and published work 2) a one page statement of prior research experience 3) a one page statement of future research interests and objectives 4) the names of at least two individuals who can provide reference letters.

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COSYNE 2016: Meeting Announcement and Call for Abstracts
by Tomas Hromadka 09 Sep '15

09 Sep '15

==================================================== 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 ==================================================== 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. 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. The WORKSHOPS feature in-depth discussion of current topics of interest, in a small group setting. 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. IMPORTANT DATES: Abstract submission opens: 05 October 2015 Abstract submission deadline: 13 November 2015 CONFIRMED SPEAKERS: Blaise Aguera y Arcas (Google) Marisa Carrasco (NYU) Edward Chang (UCSF) Greg DeAngelis (Rochester) Mark Goldman (UC Davis) Richard Mooney (Duke) Mala Murthy (Princeton) Peggy Series (Edinburgh) Reza Shadmehr (Johns Hopkins) Paul Smolensky (Johns Hopkins) Leslie Vosshall (Rockefeller) 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. 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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Postdoc positions in modeling stochastic spiking neural networks in São Paulo State, Brazil
by Antonio C. Roque 09 Sep '15

09 Sep '15

The Research, Innovation and Dissemination Center for Neuromathematics (NeuroMat, http://neuromat.numec.prp.usp.br/ ), hosted by the University of São Paulo, Brazil, and funded by FAPESP (Sao Paulo Research Foundation, http://www.fapesp.br/en/) is offering several postdoctoral fellowships for recent PhDs with outstanding research potential. The research will involve collaborations with mathematicians, computer scientists, physicists and neuroscientists associated to NeuroMat. We seek candidates capable to develop independent research in mathematical and/or computational modeling of stochastic spiking neural networks. Candidates are required to have at least one of the profiles below: - A strong background in probability theory with emphasis on stochastic processes or alternatively in statistics with emphasis on statistical model selection. Previous knowledge of rigorous statistical mechanics, random graphs or stochastic modeling in biosciences will be favorably considered. - A strong mathematical and/or computational background and experience with computers and programming. Previous experience with development and/or simulation of neural brain models, complex networks and parallel computing will be favorably considered. The initial appointment is for two years, with a possible extension to up to four years, conditional on research progress. Salary is competitive at international level, and fellows benefit from extra funds for travel and research expenses plus limited support for relocation expenses. Application instructions Applicants should complete and submit the application form at http://neuromat.numec.prp.usp.br/postdoc-form. The following documents and information are requested (please see the form for further details): - Summary of the Curriculum vitae. Please follow the FAPESP format; see www.fapesp.br/en/6351 for instructions. - List of publications, with links to those available online. - Pointers to other research related output, such as software, web pages, and so forth. Candidates should be willing to send copies of publications, if requested. - A summary of your research plan for the next 2 years, up to 5 pages length. It should explicitly address its place in the framework of the NeuroMat mission and research program ( http://neuromat.numec.prp.usp.br/scientific_project) - Any further information deemed relevant to the application. In addition to the above, we require at least 2 recommendation letters. Those should be mailed by the recommenders directly to postdoc-appl(a)numec.prp.usp.br. Candidates are encouraged to apply at their earliest convenience. Two independent evaluation rounds are planned: 1. On October 12, 2015. 2. On November 16, 2015. Appointments are expected to be effective within 2 to 6 months after evaluation date. Remark Approved candidates will be requested to expand their five-page research plan to a full two-year proposal. For the implementation of the fellowships, those proposals, together with all the application material received, will be submitted to FAPESP for final approval. -- Dr. Antonio C. Roque Professor Associado Departamento de Fisica FFCLRP, Universidade de Sao Paulo 14040-901 Ribeirao Preto-SP Brazil - Brasil E-mails: antonior(a)ffclrp.usp.br aroquesilva(a)gmail.com URL: www.sisne.org Tels: +55 16 3315-3768 (sala/office); +55 16 3315-3859 (lab) FAX: +55 16 3315-4887

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Early Bird Registration Ends Today!!
by neuro girl 09 Sep '15

09 Sep '15

Dear Colleagues, Just a reminder that early birds registration ends today!Registration includes breakfast, coffee breaks and lunch. Please note: registration will be limited to encourage open discussion. The Brain States: Characterization and Neuromodulation by DBS 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 http://bit.ly/1JVElkf https://dbs.veomed.net/. 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) 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) Fernando Lopes da Silva (University of Amsterdam) 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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SCiNDU abstract deadline Oct 16th
by Geoffrey Goodhill 09 Sep '15

09 Sep '15

SCiNDU: SYSTEMS AND COMPUTATIONAL NEUROSCIENCE DOWN UNDER qbi.uq.edu.au/scindu<http://qbi.uq.edu.au/scindu> December 15-17th, 2015, Queensland Brain Institute, The University of Queensland, Brisbane, Australia. Deadline for abstracts and early registration is Oct 16th 2015. Early bird registration fees: AU$250 (Full), AU$125 (Student). Accommodation is available if required in a residential college at the University of Queensland for AU$85/night. This conference will bring together international leaders in understanding the computational principles underlying how neural circuits decode sensory information, make decisions, and learn from experience. Abstract submissions for poster presentation are welcome. Some abstracts will be selected for short talks. Confirmed speakers include: Ehsan Arabzadeh (ANU) Mark Bear (MIT) Michael Breakspear (QIMR) Allen Cheung (QBI) Yang Dan (UC Berkeley) Peter Dayan (UCL) Geoffrey Goodhill (QBI) Zach Mainen (Champalimaud) Jason Mattingley (QBI) Linda Richards (QBI) Peter Robinson (Sydney) Marcello Rosa (Monash) Pankaj Sah (QBI) Mandyam Srinivasan (QBI) Greg Stuart (ANU) Stephen Williams (QBI) Li Zhaoping (UCL) The conference will commence mid-afternoon on Dec 15th and finish at 4pm on Dec 17th. On Dec 15th at 10am the main conference will be preceded by a choice of 3-hour tutorials (tutorial registration AU$50): Mark Bear: Experience-dependent synaptic plasticity Peter Dayan: Neural reinforcement learning Jason Mattingley: Brain stimulation, attention and plasticity Li Zhaoping: Vision, efficient coding and salience We gratefully acknowledge financial support from the Queensland Brain Institute and the Australian Research Council Centre of Excellence for Integrative Brain Function. Professor Geoffrey J Goodhill Queensland Brain Institute and School of Mathematics & Physics University of Queensland St Lucia, QLD 4072, Australia Email: g.goodhill(a)uq.edu.au<mailto:g.goodhill@uq.edu.au> http://www.qbi.uq.edu.au/professor-geoffrey-goodhill

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Postdoc positions in Computational Neuroscience/Psychiatry
by Murray, John 08 Sep '15

08 Sep '15

The lab of Dr. John Murray at Yale University (http://murraylab.yale.edu) invites applications for postdoctoral positions for research in computational neuroscience. Successful candidates are expected to play an active and independent role in one of our research areas. Our work focuses on understanding the mechanisms of neural dynamics and cognitive function. We also apply computational insights from models to advance the study of brain disorders such as schizophrenia, in a framework for Computational Psychiatry. Our group leverages theoretical and computational modeling of neural circuits, as well as analysis of neural data. We emphasize close collaboration with experimental laboratories using a variety of techniques. Lab members will benefit from the rich intellectual environment at Yale, with exposure to cutting-edge experimental neuroscience and quantitative approaches to biology, through venues such as the Swartz Program in Theoretical Neurobiology<https://medicine.yale.edu/neurobiology/swartz/>. Potential research topics include: — Cortical microcircuitry supporting cognitive computations, e.g. roles of interneurons — Dynamics and structure-function relationships in large-scale brain networks — Neural circuit dysfunction in psychiatric disorders — Neural data analysis, ranging from single-neuron recordings to human neuroimaging, in close collaboration with experimentalists Candidates with a Ph.D. in neuroscience or physical sciences, and with a strong background and interest in quantitative approaches to neurobiology or psychiatry, are especially encouraged to apply. Please email Dr. Murray (john.murray(a)yale.edu<mailto:john.murray@yale.edu>) with the following: (1) a CV, (2) a brief (less than 1 page) statement of research interests and how they may fit with those of the lab, and (3) contact information (email and phone) for three references. Informal inquiries are welcome. John D. Murray ----------------------------------------------- Assistant Professor Department of Psychiatry Yale University School of Medicine murraylab.yale.edu<http://murraylab.yale.edu> -----------------------------------------------

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Fwd: [CN-CR] lecturer position in computational neuroscience, at CNCR, Uni Bham, UK
by Chris Miall 08 Sep '15

08 Sep '15

Please see link below for 1-year teaching opportunity. Chris Miall Sent from my iPad > > we have an open teaching-focused lecturer position in computational neuroscience and modelling. > We would be very grateful if you could forward the link to potentially interested candidates at this and other institutions. > > https://atsv7.wcn.co.uk/search_engine/jobs.cgi?amNvZGU9MTQ4ODU2OSZ2dF90ZW1w… > > Many thanks and Best wishes > Uta > > > _______________________________________________ > cn-cr mailing list > cn-cr(a)cs.bham.ac.uk > https://mailman.cs.bham.ac.uk/mailman/listinfo/cn-cr

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Recruiting Postdocs in Theoretical / Computational Neuroscience
by Zylberberg, Joel L 08 Sep '15

08 Sep '15

Hi All, Several postdoctoral positions in theoretical/computational neuroscience are available in the Department of Physiology and Biophysics (PBio) at the University of Colorado's Anschutz Medical Campus, located in Aurora Colorado. The successful candidate(s) will work under the supervision of Dr. Joel Zylberberg to understand how the brain functions so robustly, despite the high levels of variability in the activities of its component neurons. This work will involve the development of mathematical /computational models of neural computation and/or neural communication that can be tested using experimental data. The PBio department has strengths in olfaction, audition, decision-making, motor control, cardiac pacemaking, and development, providing a rich scientific environment. Dr. Zylberberg also has on-going collaborations with retinal and hippocampal physiologists, providing additional opportunities for theory-experiment interaction. Requirements: Applicants should have (or soon be completing) a Ph.D. in either neuroscience, or in a quantitative discipline like applied mathematics, physics, computer science, electrical engineering, etc. The ideal candidate is a highly motivated problem solver with strong programming skills, previous experience in theoretical / computational neuroscience, and a deep desire to understand the principles underlying the functioning of the nervous system. Excellent communication skills are a must. Applicants should email Dr. Zylberberg (joel(dot)zylberberg(at)ucdenver.edu) with the following (please provide these in .pdf format): 1. C.V. including a list of publications, research experience, and education 2. A 1-2 page summary of previous research accomplishments 3. A 1-2 page description of future research goals and interests 4. Names and contact information for 2-3 people who can provide letters of reference Applications will be reviewed as they arrive. For more information about the PBio department, please visit our website at medschool.ucdenver.edu/physiology. __ Joel Zylberberg Assistant Professor Department of Physiology and Biophysics University of Colorado School of Medicine Aurora, CO ~the neuroscience is theoretical, but the fun is real

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Researcher Position, Machine Learning for User Modelling and HRI, Personal Robotics Lab, Imperial College London
by Demiris, Yiannis 08 Sep '15

08 Sep '15

Dear colleagues, a research position (either at PhD-candidate or postdoctoral levels) in machine learning for user-modelling and human-robot Interaction are available at the Personal Robotics Laboratory of the Department of Electrical and Electronic Engineering at Imperial College London. Successful applicants will work under the supervision of Dr Yiannis Demiris (www.demiris.info<http://www.demiris.info/>) in the context of the new EU H2020 project PAL (Personal Assistants for healthy Lifestyle, 2015-2019), which aims to develop personalised robotic systems and avatars to assist diabetic (T1DM) children and their caregivers. The PAL position are available from 1st of October 2015 until the end of the project at the end of Feb 2019 subject to renewal. Applicants should have an excellent background in mathematics, machine learning and software engineering, and should be committed to applying their research to real systems interacting with people in challenging environments. The positions offer an excellent working environment in one of the world's top research universities, in one of the most exciting cities in the world. The Department of Electrical and Electrical Engineering at Imperial was ranked as the top EE department in the UK in the recent REF 2014, while its Personal Robotics Laboratory offers an energetic, friendly intellectual environment with state of the art facilities http://www.imperial.ac.uk/PersonalRobotics For further information and links to application material: http://www.imperial.ac.uk/personalrobotics/join_us With best wishes, Yiannis ---- Dr Yiannis Demiris, FIET, FBCS, FRSS Reader (Associate Professor) in Personal Robotics, Department of Electrical and Electronic Engineering, Rm 1014, Imperial College London, South Kensington Campus, Exhibition Road, London, SW7 2BT, UK Tel: +44-(0)2075946300, Fax: +44-(0)2075946274 http://www.iis.ee.ic.ac.uk/yiannis Lab: http://www.imperial.ac.uk/PersonalRobotics

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Workshop announcement: Supercomputing for Neuroscientists (Juelich, 3.11.2015)
by Abigail Morrison 07 Sep '15

07 Sep '15

Supercomputing for Neuroscientists - How High-Performance Computing can help your neuroscience projects Date: 3 November 2015 Venue: Jülich Supercomputing Centre, Forschungszentrum Jülich, Jülich, Germany Registration deadline: 25 October 2015 This workshop aims at bringing neuroscientists interested in using HPC technology for their projects together with experts from the Jülich Supercomputing Centre’s Simulation Laboratory Neuroscience<www.fz-juelich.de:ias:jsc:slns> whose main goal is to bridge the gap between Computational Neuroscience and HPC. The workshop is primarily intended for PIs whose affiliation is in Germany and who may therefore apply for computing time on the Jülich supercomputers through the national GCS and NIC calls<http://www.fz-juelich.de/ias/jsc/EN/Expertise/Supercomputers/ComputingTime/…>, it will also touch on how European supercomputing resources, including those of Jülich, may be accessed by PIs from outside of Germany through the European PRACE access schemes<http://www.prace-ri.eu/hpc-access>. For detailed information on the workshop and registration, please visit: www.fz-juelich.de/ias/jsc/scn<www.fz-juelich.de:ias:jsc:scn> Organizer: SimLab Neuroscience (slns(a)fz-juelich.de) -- Prof. Dr. Abigail Morrison Institute of Neuroscience and Medicine (INM-6) Functional Neural Circuits Group Jülich Research Center http://www.fz-juelich.de/inm/inm-6/ Office: +49 2461 61-9805 Fax # : +49 2461 61-9460 ------------------------------------------------------------------------------------------------ ------------------------------------------------------------------------------------------------ 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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Postdoc positions (Wolpert lab, University of Cambridge)
by Daniel Wolpert 07 Sep '15

07 Sep '15

A Postdoc position is available in the Computational and Biological Learning Group, University of Cambridge to work on theoretical and/or experimental approaches to human sensorimotor control. The project is led by Professor Daniel Wolpert and involves investigating the processes involved in sensorimotor decision-making, learning, integration and control. Further details on http://www.wolpertlab.com <http://www.wolpertlab.com/> Closing date Sept 23rd

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CFP: MLINI 2015 - 5th NIPS Workshop on Machine Learning and Interpretation in Neuroimaging: Beyond the Scanner (corrected version)
by Irina Rish 06 Sep '15

06 Sep '15

Call for Papers MLINI 2015 - 5th NIPS Workshop on Machine Learning and Interpretation in Neuroimaging: Beyond the Scanner https://sites.google.com/site/mliniworkshop2015/ December 11-12, 2015, Montreal, Quebec, Canada Submission deadline: Monday, October 12th, 2015 Workshop Overview: ----------------------- MLINI workshop focuses on machine learning approaches in neuroscience, neuroimaging, with an extension to behavioral experiments and psychology. This year, our focus is specifically on "Going Beyond the Scanner", which includes making inferences about mental states of a subject from ''cheaper'' (as opposed to fMRI) behavioral data such as subject's speech and/or text, audio, video, EEG and signals collected from various wearable devices. We believe that machine learning has a prominent role in shaping how questions in neuroscience are framed, and that the machine-learning mind set is now entering modern psychology and behavioral studies. It is also equally important that practical applications in these fields motivate a rapidly evolving line or research in the machine learning community. In parallel, there is an intense interest in learning more about brain function in the context of rich naturalistic environments and scenes. Efforts to go beyond highly specific paradigms that pinpoint a single function, towards schemes for measuring the interaction with natural and more varied scene are made. In this context, many controversies and open questions exist. The goal of the workshop is to pinpoint the most pressing issues and common challenges across the fields, and to sketch future directions and open questions in the light of novel methodology. The proposed workshop is aimed at offering a forum that joins machine learning, neuroscience, and psychology community, and should facilitate formulating and discussing the issues at their interface. Motivated by the previous workshops in this series, MLINI ‘11, MLINI’12, and MLINI’13, we will center this workshop around invited talks and a panel discussion. Triggered by the discussions, this year we plan to adapt the workshop topics to a less traditional scope neuroimaging scope and investigate the role of behavioral models and psychology, including topics such as psycholinguistics. Open questions and possible topics for contribution include, but are not limited to, the following: - How can we move towards more naturalistic stimuli, tasks and paradigms in neuroimaging and neuro-signal analysis? - What kind of mental states can be inferred from cheaper and easier to collect data sources (as an alternative to fMRI), such as text, speech, audio, video, EEG, and wearable devices? - How can we leave the lab when acquiring neuroimaging data, towards exploiting mobile acquisition (EEG and NIRS)? - What type of features should be extracted from naturalistic stimuli such as text, voice, etc., to detect specific mental states and/or mental disorders? - How can we combine traditional neuroimaging with naturalistic data collected from a subject or group of subjects? - In general, can we characterize situations when multivariate predictive analysis (MVPA) and inference methods are better suited for brain imaging analysis than more traditional techniques? - Given recent advances of deep learning in image analysis and other applications, a natural question to ask is whether neuroimaging analysis can benefit from such approaches? - How well can functional networks and dynamical models capture the brain activity, and when using network and dynamics information is superior to standard task-based brain activations? Workshop Format: -------------------------- In this two-day workshop we will explore perspectives and novel methodology at the interface of Machine Learning, Inference, Neuroimaging and Neuroscience. We aim to bring researchers from machine learning and neuroscience community together, in order to discuss open questions, identify the core points for a number of the controversial issues, and eventually propose approaches to solving those issues. Each session will be opened by several invited talks, and an in depth discussion. This will be followed by original contributions. Original contributions will also be presented and discussed during a poster session. The workshop will end with a panel discussion, during which we will address specific questions, and invited speakers will open each segment with a brief presentation of their opinion. Paper Submission: -------------------------- We seek for submission of original (previously unpublished) research papers. The length of the submitted papers should not exceed 8 pages in Springer format, excluding the references (LaTeX2e style files are available on the workshop page). Submission of previously published work is possible as well, but the authors are required to mention this explicitly. Previously published work can be presented at the workshop, but will not be included into the workshop proceedings (which are considered peer-reviewed publications of novel contributions). Moreover, the authors are welcome to present their novel work but choose to opt out of the workshop proceedings in case they have alternative publication plans. Important dates: -------------------------- - October 12, 2014 - paper submission - October 26, 2014 - notification of acceptance/rejection - December 11-12, 2014 - Workshop at Montreal, Quebec, Canada , following the NIPS conference Organizing Committee: -------------------------- Guillermo Cecchi (IBM T.J. Watson Research Center) Kai-min Kevin Chang (Language Technologies Institute, Carnegie Mellon University) Moritz Grosse-Wentrup (Max Plank Institute for Intelligent Systems) Georg Langs (Medical University of Vienna, CSAIL, MIT) Brian Murphy (Machine Learning Department, Carngie Mellon University) *Irina Rish (IBM T.J. Watson Research Center) - main contact Leila Wehbe (University of California, Berkeley)

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Call for Abstracts: NIPS Workshop on Statistical Methods for Understanding Neural Systems
by Jascha Sohl-Dickstein 05 Sep '15

05 Sep '15

NIPS WORKSHOP 2015 CALL FOR ABSTRACTS Statistical Methods for Understanding Neural Systems Friday, December 11th, 2015 Montreal, Canada -------- Organizers: Allie Fletcher Jakob Macke Ryan Adams Jascha Sohl-Dickstein -------- Overview: Recent advances in neural recording technologies, including calcium imaging and high-density electrode arrays, have made it possible to simultaneously record neural activity from large populations of neurons for extended periods of time. These developments promise unprecedented insights into the collective dynamics of neural populations and thereby the underpinnings of brain-like computation. However, this new large-scale regime for neural data brings significant methodological challenges. This workshop seeks to explore the statistical methods and theoretical tools that will be necessary to study these data, build new models of neural dynamics, and increase our understanding of the underlying computation. We have invited researchers across a range of disciplines in statistics, applied physics, machine learning, and both theoretical and experimental neuroscience, with the goal of fostering interdisciplinary insights. We hope that active discussions among these groups can set in motion new collaborations and facilitate future breakthroughs on fundamental research problems. Call for Papers We invite high quality submissions of extended abstracts on topics including, but not limited to, the following fundamental questions: How can we deal with incomplete data in a principled manner? In most experimental settings, even advanced neural recording methods can only sample a small fraction of all neurons that might be involved in a task, and the observations are often indirect and noisy. As a result, many recordings are from neurons that receive inputs from neurons that are not themselves directly observed, at least not over the same time period. How can we deal with this `missing data' problem in a principled manner? How does this sparsity of recordings influence what we can and cannot infer about neural dynamics and mechanisms? How can we incorporate existing models of neural dynamics into neural data analysis? Theoretical neuroscientists have intensely studied neural population dynamics for decades, resulting in a plethora of models of neural population dynamics. However, most analysis methods for neural data do not directly incorporate any models of neural dynamics, but rather build on generic methods for dimensionality reduction or time-series modelling. How can we incorporate existing models of neural dynamics? Conversely, how can we design neural data analysis methods such that they explicitly constrain models of neural dynamics? What synergies are there between analyzing biological and artificial neural systems? The rise of ‘deep learning’ methods has shown that hard computational problems can be solved by machine learning algorithms that are built by cascading many nonlinear units. Although artificial neural systems are fully observable, it has proven challenging to provide a theoretical understanding of how they solve computational problems and which features of a neural network are critical for its performance. While such ‘deep networks’ differ from biological neural networks in many ways, they provide an interesting testing ground for evaluating strategies for understanding neural processing systems. Are there synergies between analysis methods for analyzing biological and artificial neural systems? Has the resurgence of deep learning resulted in new hypotheses or strategies for trying to understand biological neural networks? Confirmed Speakers: Matthias Bethge Mitya Chklovskii John Cunningham Surya Ganguli Neil Lawrence Guillermo Sapiro Tatyana Sharpee Richard Zemel Workshop Website: h <http://users.soe.ucsc.edu/%7Eafletcher/hdnips2013.html> ttps://users.soe.ucsc.edu/~afletcher/neuralsysnips.html <https://users.soe.ucsc.edu/%7Eafletcher/neuralsysnips.html> Email : smnips2015(a)rctn.org Submission details: Submissions should be in the NIPS_2015 format ( http://nips.cc/Conferences/2015/PaperInformation/StyleFiles) with a maximum of four pages, not including references. Submissions will be considered both for poster and oral presentation. Submit at https://cmt.research.microsoft.com/SMN2015/Protected/Author/ or via the link on the workshop website. Important dates: Submission deadline: 10 October, 2015 11:59 PM PDT (UTC -7 hours) Acceptance notification: 24 October, 2015

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Call for Participation: Bernstein Conference Satellite Workshop "In Vitro Neuronal Networks from 2D to 3D, " Sept. 14, 2015, Heidelberg, Germany
by Tanskanen Jarno 05 Sep '15

05 Sep '15

Bernstein Conference Satellite Workshop no. 8 ** In Vitro Neuronal Networks from 2D to 3D ** September 14, 2015, 9:00 - 18:30 Ruprecht-Karls-Universität Heidelberg, Neue Universität Universitätsplatz, Grabengasse 3-5, 69117 Heidelberg, Germany More Information and Registration http://www.bernstein-conference.de/ The program and workshop abstract as a pdf: http://goo.gl/D1hwou Welcome! Jari Hyttinen and Jarno Tanskanen Computational Biophysics and Imaging Group Department of Electronics and Communications Engineering Tampere University of Technology, BioMediTech Finland --- P R O G R A M Welcome & Introduction to 3D in Vitro Technologies - Case: 3DNeuroN Jari Hyttinen, Tampere University of Technology * Session 1: 3D and Controlled Culturing of Neuronal Networks 3D Neural Networks in Engineered Hydrogel Matrices Nicolas Broguiere, Swiss Federal Institute of Technology Zurich Forming Neuron Networks with Controlled Topology in 2D and 3D Janos Vörös, Swiss Federal Institute of Technology Zurich * Session 2: Neuronal-astrocytic Networks and their Modeling Role of Astrocytes in Formation of Functional Neuronal Networks in Vitro Susanna Narkilahti, University of Tampere Computational Modeling of Neuronal-astrocytic Networks Kerstin Lenk, Tampere University of Technology * Session 3: Technology Signal Acquisition and Measurement System for Neural Networks in Vitro Peter Husar, Ilmenau University of Technology Technology and Material Developments for 3D Multielectrode Arrays Heike Bartsch, Ilmenau University of Technology Microbioreactor Designs with Integrated 3D MEA Devices for Cultivation of Neuronal Cells Andreas Schober, Ilmenau University of Technology * Session 4: Stimulation, Analysis, and 3D Network Modeling Investigation of Cultured Neuronal Networks and their Dynamics Induced by Novel Stimulation Paradigms Peter Husar, Fraunhofer IDMT Signal Analysis Methods for Neuronal Microelectrode Array Data Jarno Tanskanen, Tampere University of Technology Computational Modeling from 2D to 3D Networks Kerstin Lenk, Tampere University of Technology * Panel Discussion: From 2D to 3D * Closing of the Workshop Jari Hyttinen, Tampere University of Technology ****

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CFP: MLINI 2015 - 5th NIPS Workshop on Machine Learning and Interpretation in Neuroimaging: Beyond the Scanner
by Irina Rish 04 Sep '15

04 Sep '15

Call for Papers MLINI 2015 - 5th NIPS Workshop on Machine Learning and Interpretation in Neuroimaging: Beyond the Scanner https://sites.google.com/site/mliniworkshop2015/ December 11-12, 2015, Montreal, Quebec, Canada Submission deadline: Monday, October 12th, 2015 Workshop Overview: ----------------------- MLINI workshop focuses on machine learning approaches in neuroscience, neuroimaging, with an extension to behavioral experiments and psychology. This year, our focus is specifically on "Going Beyond the Scanner", which includes making inferences about mental states of a subject from ''cheaper'' (as opposed to fMRI) behavioral data such as subject's speech and/or text, audio, video, EEG and signals collected from various wearable devices. We believe that machine learning has a prominent role in shaping how questions in neuroscience are framed, and that the machine-learning mind set is now entering modern psychology and behavioral studies. It is also equally important that practical applications in these fields motivate a rapidly evolving line or research in the machine learning community. In parallel, there is an intense interest in learning more about brain function in the context of rich naturalistic environments and scenes. Efforts to go beyond highly specific paradigms that pinpoint a single function, towards schemes for measuring the interaction with natural and more varied scene are made. In this context, many controversies and open questions exist. The goal of the workshop is to pinpoint the most pressing issues and common challenges across the fields, and to sketch future directions and open questions in the light of novel methodology. The proposed workshop is aimed at offering a forum that joins machine learning, neuroscience, and psychology community, and should facilitate formulating and discussing the issues at their interface. Motivated by the previous workshops in this series, MLINI ‘11, MLINI’12, and MLINI’13, we will center this workshop around invited talks and a panel discussion. Triggered by the discussions, this year we plan to adapt the workshop topics to a less traditional scope neuroimaging scope and investigate the role of behavioral models and psychology, including topics such as psycholinguistics. Open questions and possible topics for contribution include, but are not limited to, the following: - How can we move towards more naturalistic stimuli, tasks and paradigms in neuroimaging and neuro-signal analysis? - What kind of mental states can be inferred from cheaper and easier to collect data sources (as an alternative to fMRI), such as text, speech, audio, video, EEG, and wearable devices? - How can we leave the lab when acquiring neuroimaging data, towards exploiting mobile acquisition (EEG and NIRS)? - What type of features should be extracted from naturalistic stimuli such as text, voice, etc., to detect specific mental states and/or mental disorders? - How can we combine traditional neuroimaging with naturalistic data collected from a subject or group of subjects? - In general, can we characterize situations when multivariate predictive analysis (MVPA) and inference methods are better suited for brain imaging analysis than more traditional techniques? - Given recent advances of deep learning in image analysis and other applications, a natural question to ask is whether neuroimaging analysis can benefit from such approaches? - How well can functional networks and dynamical models capture the brain activity, and when using network and dynamics information is superior to standard task-based brain activations? Workshop Format: -------------------------- In this two-day workshop we will explore perspectives and novel methodology at the interface of Machine Learning, Inference, Neuroimaging and Neuroscience. We aim to bring researchers from machine learning and neuroscience community together, in order to discuss open questions, identify the core points for a number of the controversial issues, and eventually propose approaches to solving those issues. Each session will be opened by several invited talks, and an in depth discussion. This will be followed by original contributions. Original contributions will also be presented and discussed during a poster session. The workshop will end with a panel discussion, during which we will address specific questions, and invited speakers will open each segment with a brief presentation of their opinion. Paper Submission: -------------------------- We seek for submission of original (previously unpublished) research papers. The length of the submitted papers should not exceed 8 pages in Springer format, excluding the references (LaTeX2e style files are available on the workshop page). Submission of previously published work is possible as well, but the authors are required to mention this explicitly. Previously published work can be presented at the workshop, but will not be included into the workshop proceedings (which are considered peer-reviewed publications of novel contributions). Moreover, the authors are welcome to present their novel work but choose to opt out of the workshop proceedings in case they have alternative publication plans. Important dates: -------------------------- - October 12, 2014 - paper submission - October 26, 2014 - notification of acceptance/rejection - December 11-12, 2014 - Workshop at Montreal, Quebec, Canada , following the NIPS conference Organizing Committee: -------------------------- Guillermo Cecchi (IBM T.J. Watson Research Center) Kai-min Kevin Chang (Language Technologies Institute, Carnegie Mellon University) Georg Langs (Medical University of Vienna, CSAIL, MIT) Brian Murphy (Machine Learning Department, Carngie Mellon University) *Irina Rish (IBM T.J. Watson Research Center) - main contact Leila Wehbe (University of California, Berkeley)

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The ReScience journal
by Nicolas P. Rougier 04 Sep '15

04 Sep '15

Following our "Long journey into reproducible computational neuroscience" (http://journal.frontiersin.org/article/10.3389/fncom.2015.00030/full) it's our great pleasure to announce the creation of "ReScience" which is a peer-reviewed journal that targets computational research and encourages the explicit replication of already published research, promoting new and open-source implementations in order to ensure that the original research is reproducible. To achieve such a goal, the whole editing chain is radically different from any other traditional scientific journal. ReScience lives on GitHub where each new implementation is made available together with comments, explanations and tests. Each submission takes the form of a pull request that is publicly reviewed and tested in order to guarantee that any researcher can re-use it. Students are strongly encourage to submit to ReScience. Even if the publishing model is a bit different from other academic journals, this will give them a first experience at peer-reviewed publishing where they have to use a rigorous and scientific approach. • More on the journal website: https://github.com/ReScience/ReScience/wiki • Current issue: https://github.com/ReScience/ReScience/wiki/Current-Issue • FAQ: https://github.com/ReScience/ReScience/wiki/Frequently-Asked-Questions • Follow us on twitter (@ReScienceEds): https://twitter.com/rescienceeds And if you're familiar with Git and GitHub, you can also become a reviewer: just contact us. Konrad Hinsen & Nicolas Rougier

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CFP: 1st International Workshop on Big Data Analytics for Healthcare and Well-being
by Youssef Iraqi 03 Sep '15

03 Sep '15

Apologies if you receive multiple copies of this message. ________________________________________________________________ CALL FOR PAPERS 1st International Workshop on Big Data Analytics for Healthcare and Well-being 2016 January 18, 2016, Hong Kong, China http://kecidev.kaist.ac.kr/bigcomp2016/workshop/ In conjunction with the 3rd International Conference on Big Data and Smart Computing (BigComp) 2016 http://conf2016.bigcomputing.org/main/ Purpose and Scope Healthcare and well-being is an important area of research in many countries as one of the emerging application domains for both big data and smart computing. This workshop aims to create opportunities to share on-going works and enhance collaboration among healthcare researchers related to big data or data science, and to foster new innovations of big data and smart computing in the areas of mobile healthcare, smart homes, digital cities, innovations in healthcare and sensing devices, and other related areas. Prospective authors are cordially invited to submit their original contributions covering completed or ongoing work related to the area of big data analytics for healthcare and well-being. The topics include but are not limited to: - Smart health and big data - Data mining, graph mining and data science for healthcare - Big data analytics and social media for healthcare - Smart devices and hardware for healthcare - Smart location-based services for healthcare - Models and tools for smart computing in healthcare - Innovations in healthcare and sensing devices - Security and privacy for big data in healthcare - Cloud and grid computing for healthcare - Standards for big data in healthcare PAPER SUBMISSION Perspective authors are invited to submit their papers, up to 8 pages each, in the IEEE paper template. Papers must be formatted in PDF according to the IEEE two-column format for conference proceedings and submitted through EasyChair, http://www.easychair.org/. The direct link for paper submission is https://easychair.org/conferences/?conf=bigdata4healthcare IMPORTANT DATES Paper Submission Due: September 30, 2015 (23:59, HKT) Notification of Acceptance: November 15, 2015 Camera ready Papers: December 13, 2015 Workshop: January 18, 2016 ORGANIZATIONAL COMMITTEE Workshop Chairs: Youssef Iraqi, Dept. of Electrical & Computer Engineering, Khalifa University, UAE Ho-Jin Choi, School of Computing, KAIST, Korea Min Song, Dept. of Library & Information, Yonsei University, Korea TPC Members: Ae Ran Kim, College of Nursing, Seoul National University, Korea Amjad Gawanmeh, Dept. of Electrical & Computer Engineering, Khalifa University, UAE Byeong-Soo Jeong, Dept. of Computer Engineering, Kyung Hee University, Korea Changseok Bae, SW.Content Research Laboratory, ETRI, Korea Ahsan Khandoker, Department of Biomedical Engineering, Khalifa University, UAE Hani Saleh, Dept. of Electrical & Computer Engineering, Khalifa University, UAE Gwan-Su Yi, Dept. of Bio & Brain Engineering, KAIST, Korea Harish Bhaskar, Dept. of Electrical & Computer Engineering, Khalifa University, UAE Hyeoun-Ae Park, College of Nursing, Seoul National University, Korea Kyuchang Kang, SW.Content Research Laboratory, ETRI, Korea Tae-Min Song, Korea Institute for Health and Social Affairs, Korea Yong-Ik Yoon, Dept. of Multimedia Science, SookMyung Women’s University, Korea Yu-Chae Jung, Dept. of Multimedia Science, SookMyung Women’s University, Korea Nan Xiang, Dept. of Computer Science, Chongqing University of Technology, China Lingyun Zhu, Dept. of Internet of Things, Chongqing University of Technology, China Yong Wang, Dept. of Network Engineering, Chongqing University of Technology, China Dr. Youssef Iraqi Associate Professor Electrical and Computer Engineering Department [cid:logo.gif] PO Box 127788, Abu Dhabi, UAE T +971 (0)2 501 8323 F +971 (0)2 447 2441 Youssef.Iraqi(a)kustar.ac.ae [cid:twitter.jpg]<https://twitter.com/KhalifaUni> [cid:fb.jpg] <https://www.facebook.com/KhalifaUniversity> [cid:youtube.jpg] <http://www.youtube.com/user/KhalifaUniversity> [cid:instagram.jpg] <http://instagram.com/khalifauni> [cid:linkedin.jpg] <https://www.linkedin.com/company/khalifa-university-?trk=biz-companies-cym> [cid:slogan.png]

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Job posting: 5 PhD Positions in the Dutch Research Consortium 'Language in Interaction'
by Lorenz, C.M. 03 Sep '15

03 Sep '15

Job posting: 5 PhD Positions in the Dutch Research Consortium 'Language in Interaction' We are looking for highly motivated PhD candidates to enrich a unique consortium of researchers that aims to unravel the neurocognitive mechanisms of language at multiple levels. The goal is to understand both the universality and the variability of the human language faculty from genes to behaviour. The Netherlands has an outstanding track record in the language sciences. This research consortium sponsored by a large grant from the Netherlands Organization for Scientific research (NWO) brings together many of the excellent research groups in the Netherlands with a research programme on the foundations of language. The research team consists of 43 Principal Investigators. In addition to the excellence in the domain of language and related relevant fields of cognition, our consortium provides state-of-the-art research facilities and a research team with ample experience in the complex research methods that will be invoked to address the scientific questions at the highest level of methodological sophistication. These include methods from genetics, neuroimaging, computational modelling, and patient-related research. This consortium realizes both quality and critical mass for studying human language at a scale not easily found anywhere else. Currently, the consortium advertises five PhD positions for a period of 4 years. These positions provide the opportunity for conducting world-class research as a member of an interdisciplinary team. Maximum salary: €2,717 gross/month Closing date for application: 04 October 2015, 23:59 CET For more information on the PhD positions and how to apply: https://www.languageininteraction.nl/ThirdCallGeneral.html <https://www.languageininteraction.nl/ThirdCallGeneral.html>

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SAC2016 - NeuroComputing Track - Paper submission DEADLINE EXTEDED
by Falotico Egidio 02 Sep '15

02 Sep '15

Dear Community, The paper submission deadline of SAC2016 conference has been extended to September 21. Please consider to submit a contribution to the NeuroComputing track. ============================== NeuroComputing Track - Call For Papers ============================== The NeuroComputing Track has been proposed as a track of the Symposium on applied Computing (SAC2016) that will be held in Pisa from 4 to 8 April 2016. The ACM Symposium on Applied Computing (SAC) has been a primary gathering forum for applied computer scientists, computer engineers, software engineers, and application developers from around the world. SAC 2016 is sponsored by the ACM Special Interest Group on Applied Computing (SIGAPP). ============================== TRACK AIM The development of computation models of the nervous system and neural processes has risen at a rapid pace. Developing neuro-inspired computing paradigms that mimic nervous system function fosters our model understanding of the biological system and targets technical applications in artificial systems. Today, combined efforts in the fields of the neuroscience and computer science in interdisciplinary research projects like the Human Brain Project enable the simulation of spiking biological neural networks with millions of neurons. In order to deal with the complexity and scaling of such networks a new generation of appropriate tool is needed to simulate the neural network in real-time. Neuromorphic hardware and supercomputers are the ideal candidates on the hardware side, and on the software side tools should ease the development and support the researcher during the evaluation by offering a toolchain for the implementation and simulation. The aim of the ACM Symposium on Applied Computing (SAC) Track on NeuroComputing is to gather innovative works related to the application of computational techniques for the brain simulation, as well as the system software, middleware, interactive computational steering and visualization support necessary to create and simulate multi-scale brain models and to address the hard-scaling challenges of whole brain modelling. ============================== TRACK WEBSITE http://sssa.bioroboticsinstitute.it/tracks/sac2016 ============================== TOPICS OF INTEREST - Neuromorphic hardware - Large scale simulation of NN - Brain visualization tools - Neuro imaging software - Spiking neural networks - Bio-inspired learning mechanisms - Software applications for real-time neural network simulation - Software applications for real-time brain-body simulation - High performance computing for neural simulation - Neural simulators ============================== IMPORTANT DATES September 21, 2015 : Paper submission extended November 13, 2015 : Acceptance notification December 11, 2015 : Camera-ready submission ============================== TRACK CHAIRS Cecilia Laschi, The BioRobotics Institut,e Scuola Superiore SantAnna Pisa, Italy Egidio Falotico, The BioRobotics Institute, Scuola Superiore SantAnna Pisa, Italy Florian Röhrbein, Technical University of Munich, Munich, Germany Marc-Oliver Gewaltig, École Polytechnique Fédérale de Lausanne, Lausanne, Switzerland Paul Levi, Research Center for Information Technology,Karlsruhe, Germany Stefan Ulbrich Research Center for Information Technology,Karlsruhe, Germany -- Egidio Falotico Computer Scientist PhD in BioRobotics PhD in Cognitive Science The BioRobotics Institute Polo Sant'Anna Valdera - Scuola Superiore Sant'Anna Viale Rinaldo Piaggio, 34 - 56025 - Pontedera (PI) - Italy Phone: +39 050 883 457 e-mail: e.falotico(a)sssup.it

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Call for abstracts: Bounded optimality and rational metareasoning workshop @ NIPS
by Sam Gershman 02 Sep '15

02 Sep '15

We are pleased to announce a NIPS workshop on bounded optimality and rational metareasoning, which will take place in Montreal, Canada on December 11, 2015. This workshop brings together computer scientists working on bounded optimality and metareasoning with psychologists and neuroscientists reverse-engineering the computational principles that make the human brain incredibly resource-efficient. The goal of this workshop is to synthesize these different perspectives on bounded optimality, to promote interdisciplinary interactions and cross-fertilization, and to identify directions for future research. We invite abstract submissions, due October 28: https://sites.google.com/site/boundedoptimalityworkshop/call-for-abstracts Tentative schedule: https://sites.google.com/site/boundedoptimalityworkshop/home Sam Gershman Assistant Professor Department of Psychology and Center for Brain Science Harvard University http://gershmanlab.webfactional.com/index.html

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COSYNE 2016: Call for workshop proposals
by Tomas Hromadka 02 Sep '15

02 Sep '15

==================================================== Computational and Systems Neuroscience 2016 (Cosyne) MAIN MEETING Feb 25 - Feb 28, 2016 Salt Lake City, Utah WORKSHOPS Feb 29 - Mar 1, 2016 Snowbird Ski Resort, Utah www.cosyne.org ==================================================== ----------------------------------------------------------------------- CALL FOR WORKSHOP PROPOSALS ----------------------------------------------------------------------- PROPOSAL DEADLINE: 31 October, 2015. PRE-PROPOSALS: In an effort to coordinate submissions, the organizers are encouraged to submit a pre-proposal by October 1st, 2015. Pre-proposals will be shared among submitters. Pre-proposals are requested but not required. The organizers may submit the full proposal by its deadline. A series of workshops will be held after the main Cosyne meeting (www.cosyne.org) 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 http://www.cosyne.org/c/index.php?title=Workshops) 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. Please note that in an effort to reduce the overlap between workshops, speakers are strongly discouraged from presenting talks at more than one workshop. WORKSHOP DETAILS: - There will be 4-8 workshops/day, running in parallel. - Each workshop is expected to draw between 15 and 80 people. - The workshops will be split into morning (8:00-11:00 AM) and afternoon (4:30-7:30 PM) sessions. - Workshops will be held at Snowbird, a ski resort located 30 miles (typically less than an hour) from the Salt Lake City airport. Buses from the main conference will be provided. SUBMISSION INSTRUCTIONS: Deadline for pre-proposals: 01 October, 2015 Deadline for proposals: 31 October, 2015 Format: plain text only -- please no attachments email to: cosyne16workshops(a)gmail.com (Claudia Clopath, Alfonso Renart) PRE-PROPOSALS should include: - Name(s) and email address(es) of the organizers (no more than 2 organizers per session, please). A primary contact should be designated. - A title. - A brief description of 1) what the workshop will address and accomplish, 2) why the topic is of interest, 3) who is the targeted group of participants. - Names of potential invitees, with indication of confirmed speakers. Preference will be given to workshops with the most confirmed speakers. - Proposed workshop length (1 or 2 days). Most workshops will be limited to a single day. If you think your workshop needs 2 days, please explain why. - A brief resume of the workshop organizer along with a short list of workshop-relevant publications (about half a page total). PROPOSALS should include the list of confirmed speakers in addition to components required for a pre-proposal. Workshop organizer responsibilities include coordinating workshop participation and content, scheduling all speakers and submitting a final schedule for the workshop program, and moderating the discussion. Organizers can be speakers but need not speak depending on scheduling constraints. SUGGESTIONS: Experience has shown that the best discussions during a workshop are those that arise spontaneously. A good way to foster these is to have short talks and long question periods (e.g. 30+15 minutes), and have plenty of breaks. We recommend fewer than 10 talks. WORKSHOP COSTS: Detailed registration costs, etc, will be available at www.cosyne.org. Please note: Cosyne does NOT provide travel funding for workshop speakers. All workshop speakers are expected to pay for workshop registration fees. Participants are encouraged to register early, in order to qualify for discounted registration rates. One complementary (free) organizer registration is provided per workshop. For workshops with 2 organizers, the free registration can be given to one of the organizers or split evenly between them. COSYNE 2016 WORKSHOP CHAIRS: Claudia Clopath (Imperial College London) and Alfonso Renart (Champalimaud Center Lisbon). QUESTIONS: email: cosyne16workshops(a)gmail.com

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Postdoc
by Pestilli, Franco 01 Sep '15

01 Sep '15

Dear Community, We are looking for a talented individual to work on a large-scale neuroimaging project funded by the Indiana CTSI<https://www.indianactsi.org/>. The project aims at applying cutting-edge neuroimaging and connectomics methods (Pestilli et al., Nature Methods 2014<http://www.nature.com/nmeth/journal/v11/n10/abs/nmeth.3098.html>; Mišić et al., Neuron 2015<http://www.cell.com/neuron/abstract/S0896-6273(15)00474-2>) on the latest generation of data from Indiana Alzheimer Disease Center<http://iadc.medicine.iu.edu/>. The project is a collaboration between groups at Indiana <https://www.indiana.edu/> University Bloomington<https://www.indiana.edu/> (Franco Pestilli and Olaf Sporns), Indiana University School of Medicine, Indianapolis (Andrew Saykin, Li Shen, and Yu-Chien, Wu) and Purdue University, Lafayette (Joaquin Goñi). The team has strong expertise in aging and Alzheimer’s disease, imaging genetics, network science, magnetic resonance imaging measurements and computational modeling. The ideal candidate will have a PhD in Computer Science, Engineering, Neuroscience, Informatics or Cognitive Science. Strong programming skills (e.g., in Python, MATLAB, or C/C++) and previous background in neuroimaging, computational modeling, or machine learning will be highly valued. The project will involve developing and publishing software products as well as contributing to ongoing software projects such as: https://francopestilli.github.io/life and https://sites.google.com/site/bctnet/. Preference will be given to candidates demonstrating successful productivity by means of scientific articles and software publishing. Interested candidates should send CV, statement of research interests, and names of three references to Dr. Franco Pestilli franpest(a)indiana.edu<mailto:franpest@indiana.edu>. Review of the applications will start immediately and continue until the position is filled. Dr. Pestilli and Professor Sporns will be available at SfN in Chicago for informal meetings with potential candidates. 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, national origin, disability status or protected veteran status. Best regards, Franco Franco Pestilli, PhD Assistant Professor Psychology<http://psych.indiana.edu/>, Neuroscience<http://www.indiana.edu/~neurosci/> and Cognitive Science<http://www.cogs.indiana.edu/> Indiana Network Science Institute<http://iuni.iu.edu/> 𝞇 Indiana University, Bloomington<http://www.iub.edu/>, IN 47405<http://goo.gl/0uVOc8> francopestilli.com<http://www.francopestilli.com/> | franpest(a)indiana.edu<mailto:franpest@indiana.edu> Phone: +1 (812) 856 9967

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open positions in machine learning and computational neuroscience
by Turaga, Srinivas C 01 Sep '15

01 Sep '15

The Turaga Lab is looking for exceptional postdoctoral researchers and programmers (and graduate students!) for research at the intersection of machine learning and neuroscience. https://www.janelia.org/lab/turaga-lab With recent technological advances in 3d electron microscopy, optogenetics and large-scale chronic in vivo neural imaging, it is now possible to measure and perturb the activity of large populations of neurons, and to map their connectivity. These new data can be used understand how the structure of a neural circuit gives rise to its function. Our lab develops machine learning algorithms to map neural connectivity, and statistical models to characterize neural activity and to relate activity to connectivity. We have pioneered the use of deep-learning based machine learning algorithms to map neural connectivity from 3d electron microscopic images of brain tissue, and we are now working to improve these methods. This involves solving interesting new problems in structured prediction, active learning and unsupervised learning at an unprecedented scale (imagine working with labeled training datasets with 10^9 examples in a 10^6 dimensional feature space and wanting to achieve accuracies of 99.999%!). We are also developing novel statistical methods to analyze large-scale calcium imaging datasets. This is with an eye towards combining such large-scale activity measurements with structural connectomes in order to relate neural activity to neural connectivity with statistical and mechanistic models. HHMI's Janelia Research Campus is a unique, world-class research community near Washington, D.C. dedicated to understanding the function of neural circuits and developing synergistic imaging technology. Our highly collaborative structure is designed to support interdisciplinary work in small lab groups. We seek candidates who are comfortable with risk and are able to think independently to develop novel approaches. Applicants should have a strong quantitative background with degrees or expertise in machine learning, computational neuroscience, applied mathematics, physics or related discipline. Excellent collaborative programming skills in Python, C/C++, Java or similar languages are essential. To apply, please send a CV and names and addresses of 2-3 references by email to Dr. Srini Turaga, turagas(a)janelia.hhmi.org.

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SFN 2015 Workshop: high performance computing via Neuroscience Gateway
by Ted Carnevale 01 Sep '15

01 Sep '15

What: Workshop on the Neuroscience Gateway Portal (NSG, http://www.nsgportal.org) When: 9AM - Noon on Saturday, October 17, 2015. Registration deadline: Friday, October 2, 2015. Where: Downtown Chicago (exact location announced to registrants) Speakers: Amit Majumdar, Subha Sivagnanam, Padraig Gleeson, Simon Rothmeier, Ted Carnevale, Alex Peyser, Hannah Bos. Agenda: Downloadable from http://www.nsgportal.org/workshop.html Why: If you have, or plan to start, a research project that involves computationally intensive modeling or data analysis, you should know about NSG. NSG is being developed with support from NSF to make it easy for neuroscientists to use high performance computing (HPC) resources in their research. Some of NSG's advantages: * Quick and easy account application and approval. * Free computing time. No cost to your account budget! * Simple user interface for uploading data, running simulations or data analysis tasks, and downloading results * Installed software includes MOOSE, GENESIS 3, NEST, NEURON, PyNN, the Freesurfer Software Suite, and the Virtual Brain Empirical Data Pipeline For more information or to sign up, see http://www.neuron.yale.edu/neuron/static/courses/nsg2015/nsg2015.html or contact Ted Carnevale [ted dot carnevale at yale dot edu] or Amit Majumdar [majumdar at sdsc dot edu]

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Postdoctoral position in Pattern Recognition, Machine Learning and Computer Vision for the analysis of retinal electrophysiology in response to visual stimulation, with specific expertise in deep learning and sparse learning BC: 71326 - 71327
by Diego Sona 31 Aug '15

31 Aug '15

Postdoctoral position in Pattern Recognition, Machine Learning and Computer Vision for the analysis of retinal electrophysiology in response to visual stimulation, with specific expertise in deep learning and sparse learning BC: 71326 - 71327 Fondazione Istituto Italiano di Tecnologia – IIT – was established by the Italian government to promote technological development and training in the scientific and technological field. Toward this end, IIT is implementing a detailed scientific program, which comprises integration across fundamental research and application. IIT’s research endeavour focuses on high-tech and innovation, representing the forefront of technology with possible application from medicine to industry, computer science, robotics, life sciences and nano-biotechnologies. One postdoctoral position in Computer Vision, Pattern Recognition and Machine Learning is available in the department of Pattern Analysis and Computer Vision (PAVIS) at the Istituto Italiano di Tecnologia (IIT) ,Genova, Italy. PAVIS department has consolidated expertise in image processing, computer vision, pattern recognition and machine learning and aims at studying and designing intelligent systems for the analysis and understanding of real-world problems. PAVIS focuses in particular on activities related, but not limited, to surveillance and security, biomedical imaging, and bioinformatics. Project Description The research position is funded by the European project “RENVISION - Retina-inspired ENcoding for advanced VISION tasks” (http://www.renvision-fp7.eu/ <http://www.renvision-fp7.eu/>). The overall aim of the project is to achieve a comprehensive understanding of how the retina encodes complex visual scenes, and to use such insights to develop new computational models of retina and toapply them to high-level computer vision tasks, such as scene categorization and action recognition. The project is highly interdisciplinary, including neuro-engineering, electrophysiology, high-resolution microscopy imaging, computational modelling, data analysis, machine learning and computer vision. RENVISION is funded by the European Commission FP7 Future Emerging Technologies programme, under contract n. 600847. Description of the research The candidate will design novel methodologies and algorithms based on pattern recognition and machine learning techniques, aiming at analysing electrophysiological recordings in response to visual stimulation of retina. The main objective of the research is the discovery/determination of representative and/or discriminative features in retina coding allowing for high-level vision tasks, such as scene categorization and action recognition. To this purpose, deep learning, sparse and dictionary learning approaches are to be considered. Experience and Qualifications We are seeking a self-motivated individual with the ability to take day-to-day responsibility for the progress of the proposed work. The ideal candidate will have a PhD in Computer Science, Mathematics, Electronic Engineering or a closely-related discipline, with competences on machine learning/pattern recognition/computer vision, coupled with a keen interest in neuroscience and biological data processing and analysis. Expertise in deep learning, compressive sensing, and/or dictionary learning is in general preferred. Experience in spiking networks or retinal function will be appreciated while not being a discriminating factor. A strong programming skill is required. Annual salary will depend on research experience and qualification. Closing Date The initial deadline for applications is September 7th , 2015, however please note that the search will continue until appropriate candidates have been identified. How to apply Completed application forms along with a curriculum listing all publications (possibly including pdfs of the most representative ones), names of 2 referees and a research statement (describing previous research experience and outlining its relevance to the above topics) should be sent by email to Prof. Vittorio Murino vittorio.murino(a)iit.it <mailto:vittorio.murino@iit.it> and/or Diego Sona diego.sona(a)iit.it <mailto:diego.sona@iit.it>, quoting PAVIS-PD 71327 – 71326 as reference number. For informal enquiries please write to Prof. Vittorio Murino vittorio.murino(a)iit.it <mailto:vittorio.murino@iit.it> or Diego Sona diego.sona(a)iit.it <mailto:diego.sona@iit.it>. In order to comply with Italian law (art. 23 of Privacy Law of the Italian Legislative Decree n. 196/03), the candidate is kindly asked to give his/her consent to allow Istituto Italiano di Tecnologia to process his/her personal data. We inform you that the information you provide will be solely used for the purpose of evaluating and selecting candidates in order to meet the requirements of Istituto Italiano di Tecnologia. Your data will be processed by Istituto Italiano di Tecnologia, with its headquarters in Genoa, Via Morego 30, acting as the Data Holder, using computer and paper-based means, observing the rules on the protection of personal data, including those relating to the security of data, and they will not be communicated to thirds. Please also note that, pursuant to art.7 of Legislative Decree 196/2003, you may exercise your rights at any time as a party concerned by contacting the Data Holder. Istituto Italiano di Tecnologia is an Equal Opportunity Employer that actively seeks diversity in its workforce Diego Sona --------------------------------------------------------- Pattern Analysis & Computer Vision (PAVIS) Istituto Italiano di Tecnologia (IIT) Via Morego 30, 16163, Genova, Italy Phone: +39 010 71781 819 E-mail: diego.sona(a)iit.it www.iit.it/pavis.html ---------------------------------------------------------

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Postdoc/PhD Position in Recurrent Neural Network Architectures
by Herbert Jaeger 31 Aug '15

31 Aug '15

The department of Computer Science at Jacobs University Bremen (http://www.jacobs-university.de) announces a POSTDOC / PHD RESEARCH POSITION IN MACHINE LEARNING / NEURAL NETWORKS / INTELLIGENT AGENT ARCHITECTURES (full-time, very competitive salary, 3 years, start December 1, 2015 or later) the MINDS research group of Herbert Jaeger (http://minds.jacobs-university.de) The position is created in the European Horizon 2020 integrated project "Neural Computing Architectures in Advanced Monolithic 3D-VLSI Nano-Technologies" (NeuRAM3). The project aim of NeuRAM3 is to design and fabricate a large-scale, highly configurable neuromorphic microchip. Based on spiking, recurrent neural dynamics, the microchip is similar in some ways to IBM's recent TrueNorth neurochip (http://www.research.ibm.com/articles/brain-chip.shtml) However, our project aims significantly further than TrueNorth, and IBM is one of the consortium partners. In particular, novel 3-dimensional chip manufacturing technologies will enable a much more complex and much more flexibly configurable on-chip neural architecture. Within this setting, the MINDS group develops *neural learning algorithms and architectures* which are tailored to the novel opportunities afforded by a 3-dimensional, spiking microchip. This line of research will be carried out in close collaboration with a consortium partner from computational neuroscience (Institute of Neuroinformatics, University Zurich and ETH Zurich). Currently in machine learning approaches of deep learning are attracting much attention. In several ways the research in the MINDS group is *complementary to deep learning*. The latter is grounded in high-precision gradient descent methods for training and can devour extremely large training datasets to learn extremely complex tasks. The price paid is very long training times and a lack of online adaptability. In contrast, *we aim for very fast (even instantaneous) learning, online adaptability and extensibility, robustness against noise and computations with low numerical accuracy*. Such properties will be crucial for the algorithms running on next-generation chipsets for mobile devices – and they are also crucial for biological neural systems. The background philosophy of this research is framed by reservoir computing (http://minds.jacobs-university.de/ESNresearch) and conceptors (http://minds.jacobs-university.de/conceptors) Eligible candidates must have a mindset inclined toward mathematical modeling, fluency in English, plus a solid background in at least one of the following areas: • dynamical systems theory, • signal processing and control, • machine learning, • computational neuroscience, • intelligent agent architectures. Details about the position and the NeuRAM3 project will be gladly supplied by Herbert Jaeger (h.jaeger(a)jacobs-university.de) upon request. Please submit applications by email to Herbert Jaeger. Applicants passing an initial screening will be asked to supply two letters of reference. Applications will be processed as long as the job announmcent is posted online at http://minds.jacobs-university.de/jobs. *Jacobs University Bremen* is Germany's only private university with a full range of academic programs from the natural and social sciences and engineering. Its student body is one of the most international conceivable: more than 100 nations are joined on our beautiful campus. Within its young history of only a little more than 10 years, Jacobs University has climbed to the top in many disciplines in Germany's most important university ranking (http://www.che-ranking.de/cms/?getObject=613&getLang=en) The language on campus is English. ------------------------------------------------------------------ Dr. Herbert Jaeger Professor of Computational Science Jacobs University Bremen gGmbH Campus Ring 28759 Bremen, Germany Phone (+49) 421 200 3215 Fax (+49) 421 200 49 3215 email h.jaeger(a)jacobs-university.de http://minds.jacobs-university.de ------------------------------------------------------------------

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Update 2: 2016 IEEE World Congress on Computational Intelligence (IEEE WCCI 2016)
by IEEE WCCI 2016 31 Aug '15

31 Aug '15

Dear Colleague, Below please find some updated information about 2016 IEEE World Congress on Computational Intelligence (IEEE WCCI 2016). 2016 IEEE World Congress on Computational IntelligenceVancouver Convention Centre, Vancouver, Canada 25-29 July 2016 www.wcci2016.org*---------------~*******~-------------------* * Paper Submission is now OPEN* *---------------~*******~-------------------* IEEE WCCI 2016 paper submission is now OPEN. All papers should be submitted through the IEEE WCCI 2016 online submission system before the deadline of 15 January 2016. Click here for more information: http://www.wcci2016.org/submission.php *-----~*******~------* * Speakers* *-----~*******~------* World renowned computer scientist and computational theorist, Chair Professor at Harvard University, 2010 Turing Award winner, Professor Leslie Valiant will deliver a keynote at IEEE WCCI 2016. The 2016 IEEE Frank Rosenblatt Award winner, Professor Ronald R. Yager (IEEE Fellow), will receive his award and deliver a keynote at IEEE WCCI 2016. The 2016 IEEE CIS Evolutionary Computation Pioneer Award winner and 2015 IEEE Frank Rosenblatt Award winner, Professor Marco Dorigo (IEEE Fellow), will receive his award and deliver a keynote at IEEE WCCI 2016. *---------~*******~---------* * Best Paper Awards* *---------~*******~---------* IEEE WCCI 2016 will present the Best Overall Paper Awards and the Best Student Paper Awards to recognize outstanding papers published in each of the three conference proceedings (IJCNN 2016, FUZZ-IEEE 2016, IEEE CEC 2016). The awards will be judged by an Awards Committee and the recipient of each award will be given a certificate of the award and a cash prize to be presented during the conference banquet at IEEE WCCI 2016. *--------~****~--------* * Travel Grants* *--------~****~--------* The IEEE Computational Intelligence Society (IEEE CIS) will offer a limited number of travel grants for - Students (undergraduate or graduate students, from any country) - Professional researchers from developing countries who are presenting one or more papers at IEEE WCCI 2016. Click here for more information:http://www.wcci2016.org/sponsors.php *---------~****~---------* * Important Dates* *---------~****~---------* - Special Session & Workshop Proposals Deadline: 15 November 2015 - Competition & Tutorial Proposals Deadline: 15 December 2015 - *Paper Submission Deadline: 15 January 2016* - Paper Acceptance Notification Date: 15 March 2016 - Final Paper Submission & Early Registration Deadline: 15 April 2016 - IEEE WCCI 2016: 25-29 July 2016 For more information on the congress, please visit: [www.wcci2016.org] www.wcci2016.org *Alternatively we can also be reached on the following social media platforms:* - https://www.facebook.com/wcci2016; - https://twitter.com/wcci2016; - http://www.weibo.com/wcci2016; - http://t.qq.com/wcci2016 We look forward to welcoming you in Vancouver next year! Best wishes, Kay Chen Tan and Gary G. Yen 2016 IEEE WCCI General Co-Chairs

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Re: [Comp-neuro] Registration and Abstract submission Brain States Conference
by Bias Watch 29 Aug '15

29 Aug '15

Brain States: Characterization and Neuromodulation by DBS Organizers: Rowshanak Hashemiyoon, Veerle Visser-Vandewalle Invited speaker gender ratio: 0 Females / 22 Males Estimated* base rate of females in the field: 20% BiasWatchNeuro rating: 0 out of 3 *Method of estimation: NIH RePORTER with text keyword “DBS”, count number of female first PIs in first 25 results for more information: www.biaswatchneuro.com > From: neuro girl <neurogirl(a)hotmail.com> > > Subject: [Comp-neuro] Registration and Abstract submission Brain States > Conference > > Date: August 27, 2015 3:15:33 AM EDT > > To: "comp-neuro(a)neuroinf.org" <comp-neuro(a)neuroinf.org> > > > > Dear All, > > > > Registration and abstract submission are now open! > > > > Brain States: Characterization and Neuromodulation by DBS > > November 11-13, 2015 in Cologne, Germany. > > > > Interdisciplinary contributions to the study of brain mechanics have > greatly advanced our theories of the neurodynamic operations employed by > the brain. Although the brain exhibits continuous ongoing activity, > variation in the spatiotemporal patterns of activation observed across > different brain regions during rest versus active processing provides > valuable information about functional connectivity and strategies for > information processing. > > > > This conference will explore the most up-to-date theories of normal > brain function and how these processes may be altered to produce > pathological states. Furthermore, it will explore the models and methods > used to describe the proposed neural strategies subserving these different > brain states. > > > > Our list of confirmed speakers include: > > 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) > > 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) > > Fernando Lopes da Silva (University of Amsterdam) > > Andres Lozano (University of Toronto) > > Cameron McIntyre (Case Western Reserve University) > > Christoph M. Michel (University of Geneva) > > Bart Nuttin (KU Leuven) > > 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) > > We are intentionally limiting attendance in order to ensure a collegial > atmosphere with excellent discussion. > > > > More information can be found on these websites http://bit.ly/1JVElkf > and https://dbs.veomed.net/. > > > > Hope to see 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<mailto:row.hashemiyoon@uk-koeln.de> > > http://www.uk-koeln.de/de/stereotaxie > > > > > > > > > > _______________________________________________ > > Comp-neuro mailing list > > Comp-neuro(a)neuroinf.org > > http://www.neuroinf.org/mailman/listinfo/comp-neuro > >

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PhD studentships in computational neuroscience and machine learning
by Steuber, Volker 28 Aug '15

28 Aug '15

Applications are invited for PhD studentships in the Biocomputation Research Group at the Science and Technology Research Institute at the University of Hertfordshire. PhD projects involve the development of computer simulations of neurons and neuronal networks to study information processing in the brain, and/or the application of machine learning techniques to analyse electrophysiological data. More details about our research and a list of potential projects can be found on our homepage (http://homepages.herts.ac.uk/~comqvs/research.html) Applicants should have good computational and numerical skills and an excellent first degree in computer science, biology, maths, physics, neuroscience, or a related discipline. Previous experience in neuroscience is not required but would be an advantage. Successful candidates are eligible for a research studentship award from the University (approximately GBP 13,800 per annum bursary plus the payment of the standard UK student fees). Applicants from outside the UK or EU are eligible, but will have to pay half of the overseas fees out of their bursary. Research in Computer Science at the University of Hertfordshire has been recognized as excellent by the latest Research Assessment Exercise, with 55% of the research submitted being rated as world leading or internationally excellent. The Science and Technology Research Institute provides a very stimulating environment, offering a large number of specialized and interdisciplinary seminars as well as general training opportunities. The University of Hertfordshire is situated in Hatfield, in the green belt just north of London. Please contact Dr Volker Steuber (v.steuber @ herts.ac.uk) for informal enquiries. Application forms can be obtained from Mrs Lorraine Nicholls, Research Student Administrator, STRI, University of Hertfordshire, College Lane, Hatfield, Herts, AL10 9AB, Tel: 01707 286083, l.nicholls @ herts.ac.uk. The short-listing process will begin on 9 June 2014.

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Postdoctoral Position at The Rockefeller University
by George Reeke 27 Aug '15

27 Aug '15

Postdoctoral position in Computational Neuroscience A postdoctoral position supported by the BRAIN initiative is available at The Rockefeller University under the guidance of George Reeke in collaboration with Charles Gilbert and Winrich Freiwald. The overall project will study cortical mechanisms of object recognition and more specifically the influence of top-down task-and attentional influences on cortical dynamics and perceptual learning in areas of the visual cortical pathway. The computational work will involve developing and running large-scale spiking models of cortical regions studied in the overall project, with the goal of developing an accurate theoretical understanding of the phenomena observed in the experimental research. The successful candidate should, ideally, have a Ph.D. in a relevant area of neuroscience with a strong knowledge of mammalian visual systems and neuronal systems modeling. The candidate will be expected to develop suitable software to supplement the available tools as needed and will be able to work both independently and as part of a team. Interested individuals should send a c.v. and the names of three references to Dr. George Reeke (reeke(a)rockefeller.edu) with a subject line "Computational Neuroscience postdoc position". The position is available immediately, and applications will be accepted until the position is filled. The Rockefeller University is an Equal Opportunity Employer - Minorities/Women/Disabled/Veterans.

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Postdoctoral positions in Systems/Computational neuroscience [Univ Pittsburgh]
by Nathan Urban 27 Aug '15

27 Aug '15

The lab of Dr. Nathan Urban, University of Pittsburgh, Department of Neurobiology and Center for the Neural Basis of Cognition invites applications for two postdoctoral positions for projects on the analysis of olfactory system function and circuitry. Projects involve measuring of neural activity in vivo or in vitro using physiological and imaging approaches (whole cell patch clamp and calcium imaging in vitro and 2-photon imaging and physiology in vivo). We seek both experimentalists and computational neuroscientists interested in exploring the following topics in rodent model systems: The mechanisms and role of biophysical and circuit-level neuronal diversity Connections between biophysical and statistical models of neurons Sensory coding in control mice and in disease models Successful candidates will have a track record of publications and experience in experimental and/or computational neuroscience. Interests must be aligned with the broad interests of the lab and successful applicants will be expected to participate in ongoing collaborations with other groups in Pittsburgh and in other locations. Postdocs in the lab will have the opportunity to present their work at national and international meetings. Through mentoring and by creating opportunities for independent projects, postdocs will be in an excellent position to develop towards independent career objectives. Applicants can contact Dr. Urban via e-mail at nurban(a)pitt.edu and should apply via: http://goo.gl/forms/27qj1SJxw4 Qualifications: The successful candidate should have a PhD or equivalent degree in neuroscience, engineering, computer science or a related discipline. Clear evidence of research productivity and ability to work on collaborative projects is also essential. Feel free to forward to interested colleagues. ___________________________________________ Nathan Urban, Ph.D. Vice Provost for Special Projects 829 Cathedral of Learning Professor and Associate Chair - Department of Neurobiology http://www.neurobio.pitt.edu/ Co-Director Center for the Neural basis of Cognition www.cnbc.cmu.edu Associate Director Pittsburgh Brain Institute http://www.braininstitute.pitt.edu/ E1440 BSTWR 200 Lothrop Street University of Pittsburgh Pittsburgh, PA 15213 Phone: 412-648-3396 nurban(a)pitt.edu

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Registration and Abstract submission Brain States Conference
by neuro girl 27 Aug '15

27 Aug '15

Dear All, Registration and abstract submission are now open! Brain States: Characterization and Neuromodulation by DBS November 11-13, 2015 in Cologne, Germany. Interdisciplinary contributions to the study of brain mechanics have greatly advanced our theories of the neurodynamic operations employed by the brain. Although the brain exhibits continuous ongoing activity, variation in the spatiotemporal patterns of activation observed across different brain regions during rest versus active processing provides valuable information about functional connectivity and strategies for information processing. This conference will explore the most up-to-date theories of normal brain function and how these processes may be altered to produce pathological states. Furthermore, it will explore the models and methods used to describe the proposed neural strategies subserving these different brain states. Our list of confirmed speakers include: 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) 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) Fernando Lopes da Silva (University of Amsterdam) Andres Lozano (University of Toronto) Cameron McIntyre (Case Western Reserve University) Christoph M. Michel (University of Geneva) Bart Nuttin (KU Leuven) 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) We are intentionally limiting attendance in order to ensure a collegial atmosphere with excellent discussion. More information can be found on these websites http://bit.ly/1JVElkf and https://dbs.veomed.net/. Hope to see 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<mailto:row.hashemiyoon@uk-koeln.de> http://www.uk-koeln.de/de/stereotaxie

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PhD Position in Deep Learning & Visual Neuroscience
by Paul Zhutovsky 27 Aug '15

27 Aug '15

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 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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