December 2015 - Comp-neuro - lists.cnsorg.org

Postdoc in Computational Neuroscience/ Robotics
by Sen Cheng 15 Dec '15

15 Dec '15

A postdoctoral position in computational neuroscience/ robotics is available immediately in the research unit of Prof. Sen Cheng in the Institute for Neural Computing at the Ruhr University Bochum in Germany. For further information see www.rub.de/cns. The postdoc will study spatial navigation and learning in robots using biologically realistic algorithms. The focus will be on understanding the neural mechanisms underlying spatial navigation and learning in mammals, in particular, the role of the hippocampus in these processes. The salary will be on the standard German pay scale of TV-L E13. The full-time position is available immediately for two years with the possibility of extension. Limited teaching in computational neuroscience and/ or robotics is required. Candidates should have a doctoral degree in neuroscience, robotics, computer science, physics, or a related field. Competence in mathematical modeling, and excellent programming skills are mandatory. Familiarity with robotics and computational neuroscience would be a further asset. To apply please send a statement of your motivation and research interests, academic transcripts, and a complete CV to sen.cheng(a)rub.de in a single PDF file. Please, also request from at least two academic referees that they send letters of reference directly to the same email address. The Ruhr University Bochum is committed to equal opportunity. We strongly encourage applications from qualified women and persons with disabilities. --- Prof. Dr. Sen Cheng Ruhr-University Bochum Mercator Research Group "Structure of Memory" Universitaetsstr. 150 44801 Bochum Germany office: GA 04/48 | +49-234- 32 27136 | FAX: +49-234- 32 07136 sen.cheng(a)rub.de | http://www.rub.de/cns

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BRAIN Initiative post-doctoral position
by Joshua Gold 14 Dec '15

14 Dec '15

The Gold lab (http://www.med.upenn.edu/goldlab <http://www.med.upenn.edu/goldlab>) at the University of Pennsylvania is looking for an energetic and talented post-doc to participate in a funded BRAIN Initiative grant studying neural mechanisms of individual differences in learning and decision-making (http://www.nsf.gov/news/news_summ.jsp?cntn_id=135926 <http://www.nsf.gov/awardsearch/showAward?AWD_ID=1533623>). The work will combine psychophysics, single-unit electrophysiology, and computational modeling. A strong background in systems neuroscience is preferred. Anyone interested should contact Joshua Gold directly via e-mail (jigold(a)mail.med.upenn.edu <mailto:jigold@mail.med.upenn.edu>). Please include a CV and cover letter stating your research experience and reasons for applying to this position. Also please be prepared to provide contact information for up to three references upon request. Penn has a rich and interactive environment for both systems and computational neuroscience, with journal clubs, lab meetings, retreats, and other joint activities, many of which are organized by our new Computational Neuroscience Initiative (CNI: http://cni.upenn.edu <http://cni.upenn.edu/>). We also value diversity and seek talented individuals from diverse backgrounds (http://jobs.hr.upenn.edu <http://jobs.hr.upenn.edu/>).

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Telluride Neuromorphic Cognition Engineering Workshop 2016: Call for Topics
by Ralph Etienne-Cummings 14 Dec '15

14 Dec '15

Call for Topic Area Proposals 2016 Neuromorphic Cognition Engineering Workshop *Telluride, Colorado, June 26 –July 16, 2016* *DEADLINE: January 8th, 2016* We are now accepting proposals for Topic Areas in the 2016 Telluride Neuromorphic Cognition Engineering Workshop. We support topics and projects in neuromorphic cognition, particularly those that involve solving challenging ‘everyday’ tasks that incorporate domain-specific knowledge, exploration, prediction, and problem solving. In particular, we are interested in projects that hold promise for addressing Grand Challenge types of problems that do not have strong solutions of any form, neuromorphic or not. These Challenge problems should feature long-duration sensorimotor problems that involve autonomous cognitive decision making. Examples might include tasks such as learning a new language, navigating through an unknown environment to locate an object or reach a desired location, visual and auditory understanding of human actions, adaptively manipulating unknown or complex objects in the service of a task, playing a game requiring inference of hidden information or long-term planning and learning, etc. Proposals related to hardware technologies that aim to bring these capabilities to reality are also encouraged. Topic proposals that aim to solve a particular problem using the multidisciplinary experience of participants will be favored over topics that simply gather a large number of people working within a discipline, or using a single technology, or approach. Topic areas for this summer's Telluride Neuromorphic Cognition Engineering Workshop <http://ine-web.org/> will be chosen from proposals submitted to the organizers. *Topic areas can span a large field; we are looking for leadership in planning activities and inviting good people in a field.* Although past topic areas have tended to be very broad and discipline-oriented (e.g., cognition, audition, vision, robotics, neural interfacing, neuromorphic VLSI, etc.), application-oriented topic areas (e.g., sensor fusion, game-playing robot, object recognition, sound localization, human robot interaction, etc.) are especially desirable. *Topic area leaders will receive housing for themselves and their invitees, and limited travel funds.* Topic area leaders will help to define the field of neuromorphic cognition engineering through the projects they pursue and the people they invite. They shape their topic by inviting speakers and project leaders (the *invitees*) and by initiating topic area project discussions prior to the workshop. Teams of two organizers are required. One of the organizers should be an attendee of a previous Telluride Workshop (in any capacity) and has stayed at the Workshop for at least one week. *Pre-workshop topic area choices and study assignments.* Before the workshop begins, each topic area will be required to prepare and distribute study materials that constitute: 1) an introductory presentation (e.g., pptx, video, review paper) of the fundamental knowledge associated with the topic area that *everyone at the workshop* should be exposed to, and 2) a few critical papers that the participants in the topic area should read before the workshop. The topic area should 3) begin a serious group discussion of the projects (e.g., via Facebook, Skype, email, etc). *The maximum 2-page proposals should include:* 1. Title of topic area. 2. Names of the two topic leaders, their affiliations, and contact information (email addresses). 3. A paragraph explaining the focus and goals of the topic area. 4. A list of possible specific topic area projects. 5. A list of example invitees (up to six names and institutions). No commitments necessary. 6. Any other material that fits within the two-page limit that will help us make a smart choice. *Send your topic area proposal* in pdf or text format to organizers13(a)neuromorphs.net <organizers12(a)neuromorphs.net> with subject line containing "topic area proposal". *Proposals must be received by January 8, 2016*; proposals received after the deadline may still be considered if space is available. *We expect to accept 4-5 topic areas*, each with 5 invitees*.* If your proposal for the topic area is not accepted, we will work with you to see if there is a natural way to include your ideas (and you) into the accepted topic areas. We hope to have significant turn-over each year in the topic areas and leaders to ensure fresh new ideas and participants. See the Institute of Neuromorphic Engineering (www.ine-web.org) for background information on the workshop and neuromorphs.net <https://neuromorphs.net/ws2009/wiki/PastWorkshops> for past workshop wikis. We look forward to your topic proposals! *Deadline: January 8, 2016* *The Workshop Directors:* Cornelia Fermüller <http://www.cfar.umd.edu/~fer/> (University of Maryland), Ralph Etienne-Cummings <http://etienne.ece.jhu.edu/people/ralph/index.html> (Johns Hopkins Univ.) Shih-Chii Liu <https://www.ini.uzh.ch/~shih/> (University of Zurich and ETH Zurich), Timmer Horiuchi <https://www.isr.umd.edu/faculty/horiuchi> (University of Maryland), Katalin Gotthard <http://physiological-sciences.arizona.edu/katalin-gothard> (University of Arizona), Michael Pfeiffer <https://www.ini.uzh.ch/~pfeiffer/index.html> (University of Zurich and ETH Zurich), Francisco Barranco <fbarranco(a)ugr.es> (University of Granada) *Former 2007-2013 Workshop Director: * Tobi Delbruck <https://www.ini.uzh.ch/~tobi/> (University of Zurich and ETH Zurich) -- Ralph Etienne-Cummings, PhD, FIEEE Professor and Chairman Department of Electrical and Computer Engineering Computational Sensor Motor Systems Lab Laboratory for Computational Sensing and Robotics The Johns Hopkins University Baltimore, MD [image: cid:image001.png@01CFC064.B58B46A0]

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four postdoctoral positions available at the University of Göttingen
by Schloegl, Christian 14 Dec '15

14 Dec '15

The Georg-August-University Göttingen, the German Primate Center and the Bernstein Center for Computational Neuroscience are looking to fill four positions of Postdoctoral fellows The postdoctoral fellows will be associated with the Cognitive Ethology Laboratory (Julia Fischer, www.dpz.eu/de/abteilung/kognitive-ethologie<http://www.dpz.eu/de/abteilung/kognitive-ethologie>), the Cognitive Neuroscience Laboratory (Stefan Treue, www.dpz.eu/cnl<http://www.dpz.eu/cnl>), including the Sensorimotor Group (Alexander Gail, www.dpz.eu/smg<http://www.dpz.eu/smg>) and the Decision and Awareness Group (Igor Kagan, www.dpz.eu/dag<http://www.dpz.eu/dag>), at the University of Göttingen and the German Primate Center, or the Theoretical Neurophysics Group (Fred Wolf, https://www.uni-goettingen.de/en/58058.html) at the Bernstein Center for Computational Neuroscience. All positions are at pay grade 13 TV-L, full-time (currently 39, 80 hours per week) for an initial duration of 2 years and are available immediately. Your project We are recruiting postdoctoral fellows for an interdisciplinary research project studying social interactions and decision-making in human and non-human primates. For this purpose, a novel experimental platform is to be developed for behavioral (and with the later option of electrophysiological / stimulation) studies of sensorimotor decision-making in cooperative and competitive social interaction settings, across humans and different non-human primate species. We are searching for two postdoctoral fellows with an experimental or engineering background to develop this innovative experimental platform by integrating several technological (e.g., eye-tracking, hand motion tracking, real-time behavior-contingent visual stimuli, etc.) and methodological approaches (e.g., from neurosciences, behavioral biology and psychology) into a single experimental tool. Two postdoctoral fellows with a mathematical or theoretical background are expected to develop a mathematical framework and the computational tools for the analysis of large-scale multimodal data streams to be generated through the platform and from other sources. Your profile We are looking for highly motivated, enthusiastic and creative researchers with strong experimental and/or analytical skills. Good command of written and spoken English is a must, German is a plus. The ability to work in an interdisciplinary team and the capacity to supervise students and technical personnel is expected. Successful candidates for the development of the experimental platform should have a PhD in cognitive science, psychology, behavioral biology, neuroscience or related fields. Demonstrable experience with designing, conducting and analyzing behavioral experiments in humans and/or non-human primates is essential; programming skills and an understanding of hardware and software integration in real-time experimental systems is beneficial; a prior experience in studying social interactions is of additional value. Successful candidates for the development of computational tools should have a PhD in computational neuroscience, physics, mathematics, informatics, statistics, or related fields. Advanced knowledge of stochastic dynamics, systems and signal theory, as well as excellent computational skills are required. Extensive experience with the analysis of complex data streams is a plus. Ideal candidates will be driven by a genuine interest in theoretical approaches to complex biological systems. The project is embedded in the recently established Leibniz ScienceCampus "Primate Cognition" (www.primate-cognition.eu/en<http://www.primate-cognition.eu/en>) that encompasses a wide range of Göttingen researchers from multiple disciplines interested in understanding primate cognitive functions. Due to a highly collaborative and interdisciplinary nature of the project, and the recent upsurge of interest in the social aspects of decision-making and goal-directed actions both locally and in the international scientific community, it promises to be very visible. While the fellow positions are available for two years, the goals and the underlying framework of the project are a central part of the long-term commitment of the "Primate Cognition" scientific community and are expected to be continued. The University of Göttingen is an equal opportunities employer and places particular emphasis on fostering career opportunities for women. Qualified women are therefore strongly encouraged to apply as they are underrepresented in this field. Disabled persons with equivalent aptitude will be favored. The positions are generally suitable for part-time employment. Please send your application with the usual documents submitted as a single PDF file via email to the ScienceCampus coordinator, Dr. Christian Schloegl (cschloegl(a)dpz.eu<mailto:cschloegl@dpz.eu>), with the subject "Application social decision-making". Application deadline is January 31st, 2016. Three months after completion of the application process, submitted application material will be deleted. If you have any questions, please contact Dr. Christian Schloegl (cschloegl(a)dpz.eu<mailto:cschloegl@dpz.eu>; phone: +49-551-3851-480). _________________________________ Dr. Christian Schloegl Leibniz-WissenschaftsCampus Primatenkognition Deutsches Primatenzentrum GmbH Leibniz-Institut für Primatenforschung Kellnerweg 4, 37077 Göttingen Tel: +49 551 3851-480 Fax: +49 551 3851-489 E-Mail: cschloegl(a)dpz.eu<mailto:cschloegl@dpz.eu> http://www.primate-cognition.eu<http://www.primate-cognition.eu/> Vorsitzender des Aufsichtsrates: MDgt Rüdiger Eichel Geschäftsführer: Prof. Dr. Stefan Treue, Assessor jur. Michael Lankeit Sitz der Gesellschaft: Göttingen Handelsregister: Göttingen HRB 933

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Postdoctoral positions at the interface of algebraic topology and theoretical neuroscience at Penn State
by Vladimir Itskov 12 Dec '15

12 Dec '15

Dear colleagues, Applicants are invited for postdoctoral positions at the interface of theoretical neuroscience and algebraic topology or applied algebra. An ideal candidate is a mathematics Ph.D. with background in areas such as algebraic topology, geometry, commutative algebra, or combinatorics. Prior familiarity with neuroscience is not required, but interest in learning the relevant background is expected. The postdoctoral fellow will engage in the development of novel mathematical methods for understanding neural coding and neural networks. To apply, please submit your application via the mathjobs.org website in response to the job ad http://www.mathjobs.org/jobs/jobs/7575 See also http://sites.psu.edu/mathneurolab/ for more information. __________________________________ Vladimir Itskov Associate Professor of Mathematics The Pennsylvania State University email: vladimir.itskov(a)psu.edu http://www.personal.psu.edu/vui1 __________________________________

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faculty positions at Penn State
by Vladimir Itskov 12 Dec '15

12 Dec '15

---------- Forwarded message ---------- Date: Wed, 9 Dec 2015 14:57:49 -0500 From: "Adam Smith (CSE)" <asmith(a)cse.psu.edu> Subject: data science/ML and cognitive science faculty positions at Penn State -- talk to us at NIPS! Penn State will be hiring multiple faculty in "data science" and "brain science", broadly defined. There are open positions in the department of Computer Science & Engineering as well as Statistics, and positions have the potential to be joint with other departments at Penn State. The ad for the CSE department follows. I will be at NIPS on Thursday (11am poster session) and Friday (at the workshop on adaptive data analysis). Send me an email if you'd like to talk! Adam Smith -- Penn State Computer Science & Engineering http://www.cse.psu.edu/~asmith Links: https://psu.jobs/job/60027 http://eecs.psu.edu/departments/EECS-Departments-Employment-Opportunities.a… http://cra.org/job/pennsylvania-state-university-faculty-position-vacancies/ =========================== Applications are invited for several tenure-track faculty positions at all ranks. Outstanding candidates in all areas of Computer Science and Engineering will be considered. Areas of particular interest are: hardware systems, computer architecture/embedded systems, software systems, brain science, data science, and security with applications to networking, systems and data analytics. Faculty lines in the areas of architecture/embedded systems, data science, and networking will be hired jointly with the Department of Electrical Engineering in the School of Electrical Engineering and Computer Science. Hiring in the brain science (especially around the analyses of imaging data) and the security of large-scale cyberphysical systems (including smart grids and food-water-energy systems), will be jointly hired with the Institute for CyberScience. These positions are part of a university-wide initiative to appoint exceptional candidates who can advance algorithms, software and hardware systems with a demonstrated commitment to participating in interdisciplinary research (see www.ics.psu.edu/hire.html). The department has 30 tenure-track faculty in the major areas of computer science and engineering. Fourteen members of our faculty are NSF Career Award recipients. Three faculty members from the department have received the prestigious NSF PECASE Award. In recent years, faculty in the department were awarded several large-scale research grants, including the Collaborative Research Alliance for the Science of Security, a Collaborative Technology Alliance for Network Science and an NSF Expeditions in Computing award. Further, the faculty have received awards in computing and research infrastructure and instrumentation grants from NSF, and are part of DARPA/STARNET Center, an NSF ERC and NSF IGERT team. The faculty are highly successful in obtaining funding from NSF, DARPA, ARL, DOE, DTRA, AFOSR and AOR. There are state-of-the-art research labs for computer systems, computer vision and robotics, microsystems design and VLSI, networking and security, high performance computing, bioinformatics and virtual environments. The department offers a graduate program with 30 Masters students and 132 Ph.D. students, and undergraduate programs in computer science and computer engineering. The university is committed to growing the faculty ranks and promoting interdisciplinary research toward cyber-enabled discovery and design. Penn State is a major research university and is ranked 3rd in the nation in industry-sponsored research and 8th in the nation in research expenditures. U.S. News and World Report consistently ranks Penn State?s College of Engineering undergraduate and graduate programs among the top in nation. Penn State is ranked 5th world wide in Computer Science Citations according to Thomson-Reuters. The university is located in the beautiful college town of State College in the center of Pennsylvania. The State College area has 130,000 inhabitants and offers a wide variety of cultural and outdoor recreational activities. The university offers outstanding events from collegiate sporting events to fine arts productions. Many major population centers on the east coast (New York, Philadelphia, Pittsburgh, Washington D.C., Baltimore) are only a few hours drive away and convenient air services to several major hubs are operated by three major airlines out of State College. Applicants should hold a Ph.D. in computer science, computer engineering, or a closely related field and should be committed to excellence in both research and teaching. Support will be provided to the successful applicants for establishing their research programs. We strongly encourage dual career couples and candidates from underrepresented groups to apply. Applicants should submit a statement of professional interests, curriculum vitae, and the names and addresses of four references. Please submit these items in a single PDF file electronically at http://apptrkr.com/681413. Nominations and applications will be considered until the positions are filled. If you have questions regarding the application process, please email recruiting(a)cse.psu.edu. Penn State is an equal opportunity, affirmative action employer, and is committed to providing employment opportunities to all qualified applicants without regard to race, color, religion, age, sex, sexual orientation, gender identity, national origin, disability or protected veteran status.

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MICCAI 2016 - Call for Papers and Workshop/Tutorial/Challenge Proposals
by Devrim Unay 12 Dec '15

12 Dec '15

[Apologies for cross posting] We are writing to invite you to participate in *MICCAI 2016*, the 19th International Conference on Medical Image Computing and Computer Assisted Intervention, which will be held from *October 17th to 21st, 2016 in Istanbul, Turkey*. Call for papers can be found here: http://miccai2016.org/en/CALL-FOR-PAPERS.html. The paper submission deadline is *March 10, 2016*. Call for workshop/tutorial/challenge proposals can be found here: http://miccai2016.org/en/SATELLITE-EVENTS.html. The proposal submission deadline is *January 19, 2016*. For the latest information, please refer to our website: http://miccai2016.org. Also, please follow us on Facebook <https://www.facebook.com/groups/1050034681703084/> and Twitter <https://twitter.com/MICCAI2016>. We look forward to welcoming you to Istanbul in October 2016! On Behalf of the MICCAI 2016 Organizing Committee Sebastien Ourselin General Chair

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1st call for papers: PRNI 2016
by Jo Etzel 11 Dec '15

11 Dec '15

******* please accept our apologies for cross-posting ******* ------------------------------------------------------------------------------ FIRST CALL FOR PAPERS PRNI 2016 6th International Workshop on Pattern Recognition in Neuroimaging 22-24 June 2016 Fondazione Bruno Kessler (FBK), Trento, Italy www.prni.org - @PRNI2016 - www.facebook.com/PRNI2016/ ------------------------------------------------------------------------------ Paper submission deadline: 18 March 2016, 11:59 pm PST Acceptance notification: 22 April 2016 Camera-ready paper deadline: 7 May 2016 Oral and poster sessions: 22-24 June 2016 Pattern recognition techniques have become an important tool for neuroimaging data analysis. These techniques are helping to elucidate normal and abnormal brain function, cognition and perception, anatomical and functional brain architecture, biomarkers for diagnosis and personalized medicine, and as a scientific tool to decipher neural mechanisms underlying human cognition. The International Workshop on Pattern Recognition in Neuroimaging (PRNI) aims to: (1) foster dialogue between developers and users of cutting-edge analysis techniques in order to find matches between analysis techniques and neuroscientific questions; (2) showcase recent methodological advances in pattern recognition algorithms for neuroimaging analysis; and (3) identify challenging neuroscientific questions in need of new analysis approaches. PRNI welcomes submissions on topics including, but not limited to: * Learning from neuroimaging data - Algorithms for brain-state decoding or encoding - Optimization and regularization - Bayesian analysis of neuroimaging data - Causal inference and time delay techniques - Network and connectivity models (the connectome) - Dynamic and time-varying models - Dynamical systems and simulations - Empirical mode decomposition, multiscale decompositions - Combination of different data modalities - Efficient algorithms for large-scale data analysis * Interpretability of models and results - High-dimensional data visualization - Multivariate and multiple hypothesis testing - Summarization and presentation of inference results * Applications - Disease diagnosis and prognosis - Real-time decoding of brain states - Analysis of resting-state and task-based data - MEG, EEG, structural MRI, fMRI, diffusion MRI, ECoG, NIRS Authors should prepare full papers with a maximum length of 4 pages (two column IEEE style) for double-blind review. The manuscript submission deadline is 18 March 2016. Accepted manuscripts will be assigned either to an oral or poster sessions; all accepted manuscripts will be included in the workshop proceedings. -- Joset A. Etzel, Ph.D. Research Analyst Cognitive Control & Psychopathology Lab Washington University in St. Louis http://mvpa.blogspot.com/

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Postdoc in mathematical neuroscience at the University of Houston/UC, Boulder
by Kresimir Josic 11 Dec '15

11 Dec '15

We are looking for a postdoctoral associate with a background in applied mathematics and/or computational neuroscience. The successful applicant will work with Krešimir Josić at the University of Houston and Zack Kilpatrick at the University of Colorado at Boulder. The goal of the project is to use linear response theory and its extensions to predict how patterns of activity and structure of neuronal networks co-evolve. This is a collaborative project with Brent Doiron (Pitt) and Eric Shea-Brown (UW, Seattle). The deadline for applications is January 15, 2016. This position is expected to run September 1, 2016 through August 31, 2018. Interested applicants can apply online at at the University of Houston jobs website: https://jobs.uh.edu/postings/28856 <https://jobs.uh.edu/postings/28856> Please contact Krešimir Josić (josic(a)math.uh.edu <mailto:josic@math.uh.edu>) or Zack Kilpatrick (zpkilpat(a)math.uh.edu <mailto:zpkilpat@math.uh.edu>) if you have any questions. The University of Houston is an Equal Opportunity/Affirmative Action institution. Minorities, women, veterans and persons with disabilities are encouraged to apply. Additionally, the University prohibits discrimination in employment on the basis of sexual orientation, gender identity or gender expression. -- ** Krešimir Josić ** Department of Mathematics ** University of Houston ** http://math.uh.edu/~josic ** Tel: (713) 743-3485

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PhD at Edinburgh on data analysis
by Matthias Hennig 10 Dec '15

10 Dec '15

A funded PhD position is available at the University of Edinburgh to develop and implement efficient paralellised methods for analysis of large scale, high density multielectrode array recordings. The project will focus on analysis of primary raw data from a 4,096 channel array, and aims at improving spike detection and sorting, and statistical analysis of multi-neuron activity. Data will come from the labs of Evelyne Sernagor (Newcastle, retina) and Luca Berdondini (IIT Genova, cultured networks). Applicants should have a strong quantitative background and interest in interdisciplinary research. Background in neuroscience and/or parallel programming is desirable, but not essential. This position is available to UK/EU applicants, and eligible for funding by the EPSRC CDT in Pervasive Parallelism. Interested individuals should send a c.v., statement of interest and the names of three references to Matthias Hennig (h.hennig(a)ed.ac.uk). Apply by 1 February 2016. PPar http://pervasiveparallelism.inf.ed.ac.uk/ J.-O. Muthmann, H. Amin, E. Sernagor, A. Maccione, D. Panas, L. Berdondini, U.S. Bhalla, M.H. Hennig (2015). Spike detection for large neural populations using high density multielectrode arrays. Front Neuroinform, 9:28. http://journal.frontiersin.org/article/10.3389/fninf.2015.00028/abstract D. Panas, H. Amin, A. Maccione, O. Muthmann, M. van Rossum, L. Berdondini, M.H. Hennig (2015). Sloppiness in spontaneously active neuronal networks. J Neurosci, 35(22): 8480-8492. http://www.jneurosci.org/content/35/22/8480.full -- Matthias H Hennig http://homepages.inf.ed.ac.uk/mhennig/ -- Matthias H Hennig http://homepages.inf.ed.ac.uk/mhennig/ The University of Edinburgh is a charitable body, registered in Scotland, with registration number SC005336.

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