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PhD/postdoc in Sensory and Behavioral Neuroscience, Gjorgjieva and Grunwald Kadow Labs in Frankfurt/Munich
by Gjorgjieva, Julijana March 20, 2018

March 20, 2018

Reminder and deadline extension: The labs of Julijana Gjorgjieva (Max Planck Institute for Brain Research, Frankfurt, Germany) and Ilona Grunwald Kadow at the TUM School of Life Sciences, Technical University of Munich, Germany invite applications for a fully-funded position (Postdoc or PhD student). We are looking for highly-motivated individuals with a strong quantitative background (in mathematics, physics, engineering, computer science, or related fields), experience in programming and data analysis, and a desire to develop cutting-edge experimental techniques. Previous background in neuroscience, imaging or behavioral analysis is a plus! The project will examine the neural basis of need and effort-based decision-making in a collaboration between the Gjorgjieva lab, which develops theoretical models of neural circuit processing, and the Grunwald Kadow lab, which studies neural circuits underlying sensory processing and decision making in animal models. The project aims to uncover circuit principles and behavioral readouts of motivation, persistence, and value perception as a function of internal state or experience (e.g. hunger). In particular, the Grunwald Kadow lab is collecting rich data sets of behavioral trajectories of single Drosophila flies as well as functional imaging data (i.e. multiphoton and light-sheet) of neuronal populations (e.g. modulatory neurons). The project will aim to develop advanced analysis techniques that extract key statistical features of the behavioral trajectories and imaging data, and build mathematical models that reproduce the data and make new predictions to be further tested experimentally. By combining behaviour, genetics and imaging, we will also develop neural circuit models that involve several brain areas, including sensory brain areas and higher cognitive regions of the fly brain (i.e. mushroom body). References: S. Sayin J. Gjorgjieva, I. C. Grunwald Kadow (2018). A neural circuit arbitrates between perseverance and reward in hungry Drosophila. BioRxiv doi.org/10.1101/259119<http://doi.org/10.1101/259119> J. Gjorgjieva, G. Drion and E. Marder (2016). Computational implications of biophysical diversity and multiple timescales in neurons and synapses for circuit performance. Curr Opin Neurobiol 37:44-52. Lewis L, Siju KP, Aso Y, Friedrich AB, Bulteel AJB, Rubin GM, Grunwald Kadow IC (2015). A higher brain circuit for immediate integration of conflicting sensory information in Drosophila. Current Biology PMID: 26299514, doi: 10.1016/j.cub.2015.07.015 Application: The position will be based at the Technical University of Munich, with frequent visits to the Max Planck Institute for Brain Research in Frankfurt, two of the most exciting and international cities in Germany. The application deadline has been extended to: April 15, 2018. Applicants will be considered until the position is filled. For further information please visit: http://www.cns.wzw.tum.de and http://www.neuro.wzw.tum.de or email gjorgjieva(a)brain.mpg.de and ilona.grunwald(a)tum.de. To apply, please email the following to: neuro(a)wzw.tum.de (ref. GGK application) 1. A curriculum vitae 2. A letter of motivation explaining your scientific interests, your strengths when working on a problem, why us etc. 3. Contact details for 2 referees 4. A written sample of scientific research, e.g. a manuscript, thesis, or code etc. ----------------------------------------- Julijana Gjorgjieva, PhD Research Group Leader Max Planck Institute for Brain Research Max-von-Laue-Str. 4, Frankfurt Assistant Professor of Computational Neuroscience Technical University of Munich, WZW Freising office: +49 69 850033 3600 http://cns.wzw.tum.de

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Cajal Course in Computational Neuroscience -- Deadline April 2
by Jakob Macke March 20, 2018

March 20, 2018

Dear colleagues, final reminder and line-up for the Cajal Computational Neuroscience Course in Lisbon this summer. We extended the deadline to April 2, so there is still time to apply! Best, Jakob Macke CAJAL COURSE IN COMPUTATIONAL NEUROSCIENCE 12 August - 1 September 2018, Champalimaud Centre for the Unknown, Lisbon, Portugal http://www.cccn.pt Applications deadline: 2 April 2018 (midnight, CET time) DIRECTORS • Joe Paton (Champalimaud Centre for the Unknown, Portugal) • Jakob Macke (TU Darmstadt & Research Center Caesar Bonn, Germany) • Christian Machens (Champalimaud Centre for the Unknown, Portugal) Computational Neuroscience is a rapidly evolving field whose methods and techniques are critical for understanding and modelling the brain, and also for designing and interpreting experiments. Mathematical modeling is an essential tool to cut through the vast complexity of neurobiological systems and their many interacting elements. This three-weeks school teaches the central ideas, methods, and practice of modern computational neuroscience through a combination of lectures and hands-on project work. Each morning is devoted to lectures given by distinguished international faculty on topics across the breadth of experimental and computational neuroscience. During the rest of the day, students work on research projects in teams of 2-3 people under the close supervision of expert tutors and faculty. Research projects will be proposed by faculty before the course, and will include the modeling of neurons, neural systems, and behavior, the analysis of state-of-the-art neural data (behavioral data, multi-electrode recordings, calcium imaging data, connectomics data, etc.), and the development of theories to explain experimental observations. The course is designed for graduate students and postdoctoral fellows from a variety of disciplines, including neuroscience, physics, electrical engineering, computer science, mathematics and psychology. Students are expected to have a keen interest and basic background in neurobiology, a solid foundation in mathematics, as well as some computer experience. A four-day pre-school in mathematics and programming is offered for students that want to catch up on their math and programming skills. A maximum of 24 students will be accepted. Students of any nationality can apply. We specifically encourage applications from researchers who work in the developing world. Stipends are available. More information on the course website, http://www.cccn.pt Apply here: http://www.fens.org/Training/CAJAL-programme/CAJAL-courses-2018/CCCN-2018/A… Contact address: Simone Zacarias, simone.zacarias(a)research.fchampalimaud.org Confirmed faculty: Matthias Bethge, University of Tübingen Kevin Briggman, Research Center Caesar, Bonn, Germany Megan Carey, Champalimaud Centre for the Unknown, Portugal Claudia Clopath, Imperial College London, UK Sophie Deneve, ENS Paris, France Rainer Engelken, Columbia University, US Julijana Gjorgjieva, Max Planck Institute for Brain Research, Germany Pedro Goncalves, Research Center Caesar, Bonn, Germany Michael Häusser, Wolfson Institute for Biomedical Research, University College London, UK Andreas Herz, Bernstein Center for Computational Neuroscience Munich, Germany Simon Laughlin, University of Cambridge, UK Gilles Laurent, Max Planck Institute for Brain Research, Germany Máté Lengyel, University of Cambridge, UK Jennifer Linden, UCL Ear Institute, UK Elliot Ludvig, Warwick University, UK Anthony Movshon, New York University, USA Maneesh Sahani, Gatsby Computational Neuroscience Unit, UCL, UK Cristina Savin, New York University, USA Jeffrey Taube, Dartmouth College, USA Eero Simoncelli, New York University, USA Tim Vogels, Oxford University, UK Byron Yu, Carnegie Mellon University, USA Jakob Macke www.mackelab.org

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postdoctoral positions in theoretical neuroscience at the Kavli Institute in Trondheim
by Yasser Roudi March 19, 2018

March 19, 2018

Postdoctoral positions in theoretical/computational neuroscience are available at the Kavli Institute for Systems Neuroscience/Centre for Neural Computation in Trondheim, Norway. The position(s) is a part of the Kavli Institute for Systems Neuroscience. The Centre for Neural Computation is a recently established centre of excellence funded for 10 years by the Norwegian Research Council. We offer an international and multidisciplinary environment in which creativity and scientific discourse is valued and stimulated. Through our widespread network of international collaborations, unique career possibilities are offered. See http://www.ntnu.no/cbm/ for detailed information. The position will be part of the group headed by Professor Yasser Roudi. The position/s will be for 2 years. The successful applicant will take part in mainly independent research in theoretical neuroscience and statistical inference within the Roudi group. The specifics of the projects are up to agreement and discussion and new and novel ideas are highly welcome. Developing models of grid cells and their interactions with hippocampus as well as analysis of neural data from these areas will be one possible directions of research that can be taken during the tenure of the position. For more Information and details about how to apply please see https://www.jobbnorge.no/ledige-stillinger/stilling/149615/post-doc-kavli-i…

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FENS Satellite Meeting on "Receptive Fields: Analysis, Models and Applications": 6 July 2018 - applications open
by Anthony Burkitt March 18, 2018

March 18, 2018

Dear Colleagues, I would like to draw your attention to the FENS Satellite Meeting on "Receptive Fields: Analysis, Models and Applications", to be held on 6th July 2018. Applications are open at the Workshop website: fenscibf2018.eventbrite.com.au<http://fenscibf2018.eventbrite.com.au> RECEPTIVE FIELDS: ANALYSIS, MODELS AND APPLICATIONS At this FENS satellite meeting, eight world-leading researchers will discuss the latest advances on the formation and analysis of visual receptive fields and place maps, bringing together insights and discoveries from around the world. Topics will include state-of-the-art experimental and computational approaches to receptive field analysis, visual pathways, place maps and adaptation to the statistics of the visual environment. KEYNOTE SPEAKERS: • Tatyana Sharpee SALK Institute, USA • Michael Ibbotson National Vision Research Institute, Australia • Yves Fragnac CNRS, France • Jose-Manuel Alonso State University of New York, USA • TR Vidyasagar University of Melbourne, Australia • Dirk Jancke Ruhr University, Germany • Elizabeth Zavitz Monash University, Australia • Simon Schultz Imperial College, UK MEETING DETAILS DATE: Friday, 6 July 2018 TIME: 9am – 5pm CEST / Germany (Berlin) Time VENUE: Hotel NH Collection Berlin Friedrichstraße, Friedrichstraße 96, 10117 Berlin, Germany COST: Early bird fee by 6 April 2018 - €30 ; Standard fee by 22 June 2018 - €50 ; Registration includes refreshments, lunch and snacks. REGISTER HERE URL: fenscibf2018.eventbrite.com.au<http://fenscibf2018.eventbrite.com.au> CONTACT Email: Tenille Ryan (tryan(a)aco.org.au<mailto:tryan@aco.org.au>)

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Failures of adaptively timed hippocampal learning during memory consolidation and Fragile X syndrome
by Grossberg, Stephen March 17, 2018

March 17, 2018

The following two articles model how failures of adaptively timed learning and incentive motivational support by hippocampus (i.e., failure of “time cells”) can cause clinical problems in memory consolidation and Fragile X syndrome: ***************** Franklin, D. J., and Grossberg, S. (2017). A neural model of normal and abnormal learning and memory consolidation: Adaptively timed conditioning, hippocampus, amnesia, neurotrophins, and consciousness. Cognitive, Affective, and Behavioral Neuroscience, 17, 24-76. http://link.springer.com/article/10.3758/s13415-016-0463-y This article explains and simulates the kinds of data that many cognitive neuroscientists have reported after the famous case of the amnesic patient HM; namely, how, after some learning occurs, early vs. late lesions of amygdala, hippocampus, or orbitofrontal cortex can cause very different memory consolidation problems. ***************** Grossberg, S., and Kishnan, D. (2018). Neural dynamics of autistic repetitive behaviors and Fragile X syndrome: Basal ganglia movement gating and mGluR-modulated adaptively timed learning. Frontiers in Psychology, Psychopathology. https://doi.org/10.3389/fpsyg.2018.00269. This article explains how Fragile X syndrome can be caused when mGluR-mediated adaptively timed hippocampal learning and support of motivated attention fail.

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Call for papers - Special issue on Operations Research for Neuroscience II
by Ruben A. Tikidji-Hamburyan March 15, 2018

March 15, 2018

Dear Colleagues, ~~~ Apologies for cross-posting ~~~ We are happy to announce a second special issue on Operations Research for Neuroscience. The special issue will be published in the journal Annals of Operations Research, Springer. We strongly encourage the submission of manuscripts which propose further developments of modern formal theories (such as the free-energy principle, integrated information, Bayesian inference, etc). The use of methods from modern operations research in neuroscience is a prerequisite for any paper submitted to this special issue to enter the reviewing process. Submission deadline: December 1, 2018 Please find the CfP as plain text below or as a pdf file here: CfP - ANOR SI OR for Neuroscience <https://sites.google.com/site/rubentikidjihamburyan/research/CfP-ANOR_SI_OR…> Best, Ruben ____________________________________________________ ― Call for Papers ― Annals of Operations Research Special Issue Operations Research for Neuroscience II ____________________________________________________ After the positive and encouraging response from the scientific and wider community to the special issue Operations Research for Neuroscience, the journal Annals of Operations Research (Springer) now invites submissions of papers to a second special issue on the same subject, called Operations Research for Neuroscience II. Neuroscience, a multidisciplinary science, is concerned with the study of the structure and functions of the nervous system. It comprises aspects of physiology, cellular and molecular biology, as well as behavioral and cognitive science. Recent technological and theoretical advances offer promising opportunities for better understanding of the nervous system at the quantitative level. New optogenetic, in vitro and in vivo multielectrode recording, neuroimaging, brain imaging, and other modern techniques provide high-quality data that can be used in elucidating the fundamental mechanisms of information processing in the nervous system. The rapidly growing pool of experimental data has triggered the development of new mathematical models that can provide new insights into the functioning of the nervous system at various scales, ranging from that of molecular biology to that of the organizational principles of behavior and cognition. Sophisticated analyses of intracellular signaling or dynamics in heterogeneous neural networks, conditional behavior, or connections of brain regions in decision-making lead to theoretical problems, addressed by operations research. Although, operations research is actively used in bottom-up approaches--from experimental observation to consistent theory-- it also widely overlaps modern and rapidly developing formal theories, for example the free-energy principle, integrated information theory, and may others. The special issue will cover a broad range of topics in the field of neuroscience using operations research approaches, methods, and theories. Potential topics include, but are not limited to, the following areas and methodologies of neuroscience: o intracellular signaling and regulation o synaptic plasticity o dynamics in heterogeneous neural networks o intelligent systems and control o perceptual, cognitive, and behavioral functions o learning and memory o spatio-temporal network analysis o behavioral economics and finance o linguistics and cognition o combinatorial optimization o signal and information processing o neuroimaging and functional brain imaging processing o computational modeling and simulation o formal theoretical approaches: the free-energy principle, integrated information, Bayesian inference, etc. The use of methods from modern operations research in neuroscience is a prerequisite for any paper submitted to this special issue to enter the reviewing process. Annals of Operations Research is abstracted and indexed in the following databases: Science Citation Index, Science Citation Index Expanded (SciSearch), Journal Citation Reports/Science Edition, SCOPUS, INSPEC, Zentralblatt Math, Google Scholar, EBSCO, CSA, ProQuest, ABS Academic Journal Quality Guide, Academic OneFile, Academic Search, Computer Abstracts International Database, Computer Science Index, CSA Environmental Sciences, Current Contents/Engineering, Computing and Technology, DBLP, ECONIS, Expanded Academic, International Abstracts in Operations Research, Mathematical Reviews, OCLC, SCImago, STMA-Z, Summon by ProQuest. The Special Issue is officially endorsed by EURO Conference 2018, Valencia. Guest Editors: Erik Kropat, Ruben A. Tikidji-Hamburyan, Gerhard-Wilhelm Weber Important Date: Submission deadline of full papers: December 1, 2018. Submission Details: The format of manuscripts for the Annals of Operations Research as well as guidelines can be found on the web page of Springer, the publisher of the journal: http://www.springer.com/journal/10479/submission. Authors should submit a cover letter mentioning that the paper is for a special issue and a manuscript via the journal's online submission site: http://www.editorialmanager.com/anor. When prompted, please select the article type “S.I.: OR in Neuroscience II”. All papers submitted for publication will be carefully refereed. In case of any question please contact by e-mail one of the following guest editors: Dr. Erik Kropat Department of Computer Science Universität der Bundeswehr München Werner-Heisenberg-Weg 39 85577 Neubiberg, Germany E-mail: erik.kropat(a)gmx.de Dr. Ruben A. Tikidji-Hamburyan Department of Cell Biology and Anatomy Health Sciences Center, Louisiana State University New Orleans, Louisiana 70112, USA E-mail: rtikid(a)lsuhsc.edu Prof. Dr. Gerhard-Wilhelm Weber Faculty of Engineering Management Chair of Marketing and Economic Engineering Poznan University of Technology ul. Strzelecka 11 60-965 Poznan, Poland E-mail: gerhard.weber(a)put.poznan.pl

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ACT-R Summer School application deadline approaching
by db30＠andrew.cmu.edu March 15, 2018

March 15, 2018

The deadline for applications, April 15th, is now only one month away. 2018 ACT-R Summer School and Master Class Carnegie Mellon University July 9-13, 2018 ACT-R is a unified theory of cognition that has been implemented in a software system called a cognitive architecture that can be used to develop computational cognitive models. It has been applied to modeling tasks that range from experimental tasks like simple reaction time and list learning, to real world tasks like driving a car and air traffic control. The 2018 ACT-R Summer School will take place at CMU in Pittsburgh from July 9-13. It consists of both a Summer School for beginning users and a Master Class for more experienced users. The Summer School will train researchers in the use of ACT-R for cognitive modeling using the ACT-R tutorial. Each day will consist of a morning theory lecture covering one or two tutorial units, an afternoon discussion session on the topics of the day, and modeling assignments which participants are expected to complete during the day and evening. The Master Class is organized in parallel with the Summer School. The Master Class offers the opportunity for ACT-R modelers to work on their own projects with guidance from experienced ACT-R researchers. There is no curriculum for the Master Class, but Master Class students are welcome to attend the Summer School lectures and discussion sessions. To provide an optimal learning environment, admission to the Summer School and Master Class will be limited. To apply for the Summer School, please email a curriculum vitae and a statement of purpose to db30(a)andrew.cmu.edu. Demonstrated experience with a modeling formalism similar to ACT-R will strengthen a Summer School application. To apply for the Master Class please email a curriculum vitae along with some information about your level of experience with ACT-R and some details on the project you expect to work on during the Master Class. Applications are due by April 15th and applicants will be notified of admission by April 30th. Admission to the Summer School and Master Class is free. Housing will be available in the CMU dormitories for approximately $65/day (single) or $50/day (shared). More information about ACT-R, including papers published by the ACT-R community, can be found on the ACT-R web site: <http://act-r.psy.cmu.edu/>. For more information on the Summer School and Master Class you can email Dan Bothell at db30(a)andrew.cmu.edu.

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Call for papers - Special issue on Brain-Computer Interfaces for Human Augmentation
by Davide Valeriani March 15, 2018

March 15, 2018

Dear all, I thought some of you might be interested in contributing to this special issue of Brain Sciences about BCI for human augmentation. The deadline for manuscript submissions is *30 April 2018*. Please do get in touch if you are interested. More info at: *http://bit.ly/bcihuman <http://bit.ly/bcihuman> *or http://www.mdpi.com/journal/brainsci/special_issues/Brain_Computer_Interface P.S. Apologies for cross-posting. Best regards, Davide -- *Dr Davide Valeriani* Senior Research Officer BCI-NE Lab University of Essex *E* dvaler(a)essex.ac.uk *W* www.davidevaleriani.it

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CFP: The OMG-Emotion Recognition Challenge
by Pablo Barros March 15, 2018

March 15, 2018

CALL FOR PARTICIPATION The One-Minute Gradual-Emotion Recognition (OMG-Emotion) held in partnership with the WCCI/IJCNN 2018 in Rio de Janeiro, Brazil. https://www2.informatik.uni-hamburg.de/wtm/OMG-EmotionChallenge/ I. Aim and Scope Our One-Minute-Gradual Emotion Dataset (OMG-Emotion Dataset) is composed of 420 relatively long emotion videos with an average length of 1 minute, collected from a variety of Youtube channels. The videos were selected automatically based on specific search terms related to the term ``monologue''. Using monologue videos allowed for different emotional behaviors to be presented in one context and that changes gradually over time. Videos were separated into clips based on utterances, and each utterance was annotated by at least five independent subjects using the Amazon Mechanical Turk tool. To maintain the contextual information for each video, each annotator watched the clips of a video in sequence and had to annotate each video using an arousal/valence scale and a categorical emotion based on the universal emotions from Ekman. We release the dataset with the gold standar for arousal and valence as well the invidivual annotations for each reviewer, which can help the development of different models. We will calculate the final Congruence Correlation Coefficient against the gold standard for each video. We also distribute the transcripts of what was spoken in each of the videos, as the contextual information is important to determine gradual emotional change through the utterances. The participants are encouraged to use crossmodal information in their models, as the videos were labeled by humans without distinction of any modality. We also will let available to the participant teams a set of scripts which will help them to pre-process the dataset and evaluate their model during in the training phase. We encourage the use of neural-computation models based on deep learning, sel-organization and recurrent neural networks, just to mention some of them, as they present the sate-of-the-art performance in such tasks. II. How to Participate To participate, please send us an email to barros(a)informatik.uni-hamburg.de with the title "OMG-Emotion Recognition Team Registration". This e-mail must contain the following information: Team Name Team Members Affiliation Each team can have a maximum of 5 participants. You will receive from us the access to the dataset and all the important information about how to train and evaluate your models. For the final submission, each team will have to send us a .csv file containing the final arousal/valence values for each of the utterances on the test dataset. We also request a link to a GitHub repository where your solution must be stored, and a link to an ArXiv paper with 4-6 pages describing your model and results. The best papers will be invited to submit their detailed research to a journal yet to be specified. Also, the best participating teams will hold an oral presentation about their solution during the WCCI/IJCNN 2018 conference. III. Important Dates Publishing of training and validation data with annotations: March 14, 2018. Publishing of the test data, and an opening of the online submission: April 11, 2018. Closing of the submission portal: April 13, 2018. Announcement of the winner through the submission portal: April 18, 2018. IV. Organization Pablo Barros, University of Hamburg, Germany Egor Lakomkin, University of Hamburg, Germany Henrique Siqueira, Hamburg University, Germany Alexander Sutherland, Hamburg University, Germany Stefan Wermter, Hamburg University, Germany -- Dr.rer.nat. Pablo Barros Postdoctoral Research Associate - Crossmodal Learning Project (CML) Knowledge Technology Department of Informatics University of Hamburg Vogt-Koelln-Str. 30 22527 Hamburg, Germany Phone: +49 40 42883 2535 Fax: +49 40 42883 2515 barros at informatik.uni-hamburg.de https://www.inf.uni-hamburg.de/en/inst/ab/wtm/people/barros.html https://www.inf.uni-hamburg.de/en/inst/ab/wtm/

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Faculty position in Math Biology at NJIT
by Victor Matveev March 14, 2018

March 14, 2018

Dear comp-neuro list members, The Department of Mathematical Sciences (DMS) at New Jersey Institute of Technology (NJIT) invites applications for a tenure-track position at the assistant professor level in mathematical biology. A second DMS tenure-track assistant professor position in the broader area of applied mathematics is advertised separately (links provided below). The appointment is to start in Fall 2018. Candidates should have a Ph.D. in mathematics, applied mathematics or a related discipline, with an established record of independent research, strong potential for seeking external research support, and a commitment to teaching at graduate and undergraduate levels. Candidates working in any subfield of mathematical biology will be given consideration. Currently, members of the DMS mathematical biology group are engaged in research in computational neuroscience, biological rhythms, biofluids and mechanosensing. To apply, please visit https://njit.csod.com/ats/careersite/JobDetails.aspx?site=1&id=35 The second position in applied mathematics is advertised separately at https://njit.csod.com/ats/careersite/JobDetails.aspx?site=1&id=30 Submissions must include (a) cover letter, (b) resume/CV, (c) research statement, (d) teaching statement, and (e) names and contact information for at least four references. Review of applications will begin immediately and will continue until the position is filled. Please direct any questions to the search committee chair, Victor Matveev, at matveev(a)njit.edu. DMS is recognized for its strong program in applied mathematics, which offers B.S., M.S., and Ph.D. degrees, with Ph.D. program tracks in applied mathematics as well as in applied probability and statistics. NJIT is in the University Heights neighborhood next to vibrant downtown Newark, about 12 miles west of New York City. The NJIT campus is adjacent to the campus of Rutgers-Newark, with which it shares several academic programs. DMS has close collaborative ties to the Department of Biological Sciences at NJIT. Excellent potential for outside collaboration is also afforded by the close geographic proximity of NJIT to other prominent centers for biological research such as the Center for Molecular and Behavioral Neuroscience at Rutgers-Newark, New Jersey Medical School, NYU, Columbia University, and Rockefeller University. Apart from mathematical biology, DMS faculty work in diverse fields of applied mathematics including fluid dynamics, granular matter, nonlinear waves, applied analysis, scientific computing, dynamical systems, and probability and statistics. NJIT is an Equal Opportunity / Affirmative Action Employer and strongly encourages women, minorities, and persons with disabilities to apply. -- ___________________________________ Victor Matveev, Professor Applied Math, Biophysics & Neuroscience Department of Mathematical Sciences Graduate Faculty, Dept of Biological Sciences New Jersey Institute of Technology Newark, NJ 07102-1982 Office: Cullimore Hall 616 E-mail: matveev(a)njit.edu http://web.njit.edu/~matveev/

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