October 2016 - Comp-neuro - lists.cnsorg.org

CFP: FLAIRS 2017, Marco Island, FL,
by bisant＠umbc.edu Oct. 18, 2018

Oct. 18, 2018

CALL FOR PAPERS FLAIRS 2017, Florida Artificial Intelligence Research Symposium Special Tracks on Data mining and Special Track on Cyber Security Marco Island, Florida http://www.flairs-30.info/ Paper submission deadline: November 21, 2016. Notifications: January 23, 2017. Camera ready version due: February 27, 2017. 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 21, 2016. For FLAIRS-30, the 2017 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-30.info/) Note: do not use a fake name for your EasyChair login - your EasyChair account information is hidden from reviewers. Authors should indicate which special track they are submitting to. 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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NeuroMorpho.Org v7.0 [10th anniversary edition] released September 1st, 2016
by NeuroMorpho Administrator April 4, 2017

April 4, 2017

Dear colleagues, We're excited to announce that almost exactly 10 years after the original launch, NeuroMorpho.Org passed the milestone of 50,000 reconstructions in the September 1, 2016 release of Version 7.0. This major update includes 12,693 additional reconstructions from 35 new datasets. The new data added in these last 6 months equal the total amount accumulated in the first seven years. This release also introduce several new functionalities, including (1) bibliography documenting data re-use from nearly 500 citations; (2) ontology-smart searches by species, brain regions, neuron types, and experimental conditions; (3) DOI minting capability for each article-associated dataset; and (4) API enabling object-oriented access to data and metadata. The literature coverage database was also updated to include publications through August 2016. Please visit the What's new page<http://neuromorpho.org/WIN.jsp> for details on the added data and other updates. We appreciate any and all feedback and comments. We are continuously grateful to all the data contributors<http://neuromorpho.org/acknowl.jsp#DC> who freely share their hard-won tracings with the community. Our apologies if you receive multiple versions of this message through cross-listing. Sincerely, The NeuroMorpho.Org team<http://neuromorpho.org/acknowl.jsp#NMO> ---------------- Giorgio Ascoli<http://krasnow1.gmu.edu/cn3/ascoli>, PhD University Professor Director, Center for Neural Informatics, Structure, & Plasticity<http://krasnow1.gmu.edu/cn3> Neuroscience Program<http://neuroscience.gmu.edu/>, Krasnow Institute for Advanced Study<http://krasnow1.gmu.edu/> Bioengineering Department<http://bioengineering.gmu.edu/>, Volgenau School of Engineering<http://volgenau.gmu.edu/> MS2A1 - George Mason University<http://gmu.edu/>, Fairfax, VA 22030-4444 Ph. +1(703)993-4383/+1(703)673-8894 Author of "Trees of the Brain, Roots of the Mind<http://www.amazon.com/Trees-Brain-Roots-Giorgio-Ascoli/dp/0262028980/>" (MIT Press, 2015<http://mitpress.mit.edu/books/trees-brain-roots-mind>) Founding Editor-in-Chief, Neuroinformatics<http://link.springer.com/journal/12021>

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PhD position in cognitive modeling
by Angela Yu Oct. 31, 2016

Oct. 31, 2016

Applications are invited from highly motivated students to conduct PhD research in the Computational & Cognitive Neuroscience Lab, led by Angela Yu, at University of California, San Diego. Candidates must have a strong background in mathematics and/or machine learning, and be committed to applying rigorous mathematical tools to modeling cognitive and neural processes. Experience or interest in carrying out human behavioral experiments (either in person or on Amazon M-Turk) and/or collaborating with other human/animal neuroscience laboratories is also desirable. Current research in the lab ranges across cognitive control, decision-making, visual search, active learning, social cognition, and machine learning. Dr. Yu's group is situated within the Cognitive Science department of UCSD, but Dr. Yu advises students not only from the Cognitive Science, but also from Computer Science & Engineering, Electrical & Computer Engineering, and Neurosciences PhD programs. Interested students should apply directly to one or more of the PhD programs, and indicate Dr. Yu as a potential research advisor in the research statement. They are also encouraged to email Dr. Yu directly to explain why they think their interests/background are a good fit for working with Dr. Yu. ------------------------------------- Angela J. Yu Associate Professor UCSD Cognitive Science www.cogsci.ucsd.edu/~ajyu <http://www.cogsci.ucsd.edu/~ajyu> —————————————————— ----------------------------------- Angela J. Yu Associate Professor UCSD Cognitive Science 858-822-3317 www.cogsci.ucsd.edu/~ajyu -----------------------------------

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Postdoc position in computational modeling
by Angela Yu Oct. 28, 2016

Oct. 28, 2016

Applications are invited from highly motivated researchers for a postdoctoral position immediately available in the Computational & Cognitive Neuroscience Lab, led by Angela Yu, at University of California, San Diego. Candidates must have a strong background in mathematics and/or machine learning, and be committed to applying rigorous mathematical tools to modeling cognitive and neural processes. Experience or interest in carrying out human behavioral experiments (either in person or on Amazon M-Turk) and/or collaborating with other human/animal neuroscience laboratories is also desirable. Current research in the lab ranges across cognitive control, decision-making, visual search, active learning, social cognition, and machine learning. Accepted candidate would have great latitude in determining own research projects. Dr. Yu's lab is situated within the Cognitive Science department of UCSD, and affiliated with the Computer Science Department, Electrical Engineering Department, Neurosciences Graduate Program, and the Institute of Neural Computation. There are ample opportunities for collaborations with related groups across the UCSD main campus, the medical school, and the Salk Institute. Interested candidates should send a research statement, along with a CV including publications, to Dr. Angela Yu (ajyu(a)ucsd.edu <mailto:ajyu@ucsd.edu>). Candidates are invited to explain in detail how their own research interests dovetail that of Dr. Yu's lab. Two or more letters of references should be sent directly to Dr. Yu. Dr. Yu will be interviewing candidates at the Society for Neuroscience Annual Meeting in San Diego, November 12-16, 2016. ------------------------------------- Angela J. Yu Associate Professor UCSD Cognitive Science www.cogsci.ucsd.edu/~ajyu -------------------------------------

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MIT postdoc position in AI/neuroscience/physics
by Max Tegmark Oct. 27, 2016

Oct. 27, 2016

The MIT Physics Department invites applications for a postdoctoral research position to work with Professor Max Tegmark on the physics of intelligence, in partnership with Tomaso Poggio, Edward Boyden, Gabriel Kreiman and others associated with the Center for Brains, Minds & Machines (https://cbmm.mit.edu/about/people) and with a network of other collaborators. Research interests at the interface of theoretical physics, artificial intelligence and computational neuroscience are a strong plus. Candidates interested in exploring ways to test theories with state-of-the-art data and simulations are particularly welcome. Applicants should submit a curriculum vitae, a list of publications, a brief description of research interests and goals and should arrange for three letters of recommendation to be uploaded to this site by December 1, 2016. A Ph.D. in physics or physics-related discipline, such as AI or computational neuroscience, is required by the start of employment. Any inquiries should be sent to tegmark(a)mit.edu. MIT is an equal employment opportunity employer. All qualified applicants will receive consideration for employment and will not be discriminated against on the basis of race, color, sex, sexual orientation, gender identity, religion, disability, age, genetic information, veteran status, ancestry, or national or ethnic origin.

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PhD position: Dimension reduction for neural networks
by Laing, Carlo Oct. 25, 2016

Oct. 25, 2016

Funding is available for a PhD position in "Dimension reduction for neural networks" at Massey University (Auckland, New Zealand). Project description: An essential tool in the study of complex networks is dimension reduction, i.e. the discovery and then computational use of a small number of collective variables which completely describe the behaviour of the network to within some accuracy. Having such a reduced description can allow the drastic acceleration of computational tasks for modelling and predicting network behaviour, and provides a mechanism for discovering which details of a network are essential in determining its behaviour. This project involves the development of reduced models of networks of model neurons, in order to better understand their possible dynamics. An important aspect will involve investigating the role of heterogeneity (both in terms of a network's structure, and the intrinsic dynamics of a single neuron) in the networks' behaviour. The student should have the equivalent of an MSc in Mathematics (or other highly mathematical field such as Physics). A good knowledge of nonlinear dynamics and scientific programming is an advantage; no knowledge of neuroscience is assumed. The scholarship consists of a stipend of NZ$27,500 per year (tax free) plus applicable student fees for 3 years. Applicants must fulfil the PhD eligibility conditions of Massey University. Applicants should send a copy of their curriculum vitae, a statement of interest and the names and contact details of two (2) referees to Associate Professor Carlo Laing (E-mail: c.r.laing(a)massey.ac.nz<mailto:c.r.laing@massey.ac.nz>) Webpage: http://www.massey.ac.nz/~crlaing/ -- Associate Professor Carlo Laing. INMS, Massey University, Private Bag 102-904, NSMC, Auckland, New Zealand. ph: +64-9-414-0800 x 43512. fax: +64-9-443 9790 http://www.massey.ac.nz/~crlaing/

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PhD position in 'New insights into ADHD through behavioural and modelling studies'
by Eirini Mavritsaki Oct. 25, 2016

Oct. 25, 2016

Dear comp-neuro team, I was wondering if you could please forward the information below to your list about a new PhD position in our lab for February 2017 start. Kind regards, Eirini Mavritsaki PhD available for February 2017 start in 'New insights into ADHD through behavioural and modelling studies' Applications are invited for a 3-year PhD studentship within the Department of Psychology, Faculty of Business Law and Social Sciences, Birmingham City University. Applicants need to demonstrate ability and commitment, including excellent communications skills in written and spoken English. Project Synopsis: There are many limitations on the behaviour of complex neural systems, but one primary constraint is to filter incoming input in order that actions can be programmed to behaviourally relevant stimuli. This is the limit of 'attention'. A major challenge for current-day researchers is to understand how (and why) these limitations arise, especially in conditions like attention deficit hyperactivity disorder (ADHD) where the attentional system is dysfunctional. Our application's main aims is to access differences in visual attention between children diagnosed with ADHD and typically functioning children and the role of diet in this. This Ph.D. thesis aims to do this using a novel interdisciplinary approach, behavioural and computational modelling study together with a food diary. The Ph.D. is part of a bigger research project that is in collaboration with Dr Chrysavgi Tsakona in Russell Hall Hospital. The successful applicant will join the newly-established Centre for Applied Psychological Research (CAP Research) within the Department of Psychology at Birmingham City University. This centre is part of a vibrant and rapidly expanding research community, which offers applicants with an excellent opportunity to develop their research career. The applicant has the opportunity to have teaching experience, to participate to research seminars and to co-supervise undergraduate projects. Candidate Qualification and Specifications: Essential ? The applicant should hold a good undergraduate honours degree (First or 2:1) in psychology or a related social sciences subject. ? A demonstrated understanding of research methods is essential (as evidenced by degree transcript grades for research methods and dissertation modules). ? The applicant will be expected to undertake and pass Disclosure and Barring Service (DBS) checks. ? The applicant should enjoy working with children. ? The applicant should have experience in computational modelling. Desirable ? A Masters' degree in research methods, psychology or a related social sciences subject. ? Work experience (voluntary or paid) in schools or experience working with children. ? Experience in C++ and/or Matlab. ? Access to a car and a valid driving licence. For more information please contact Dr Eirini Mavritsaki (Eirini.mavritsaki(a)bcu.ac.uk) ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Eirini Mavritsaki, Ph.D., CPsychol Senior Lecturer in Cognitive Psychology and Director of Research for the School of Social Sciences Department of Psychology Faculty of Business Law and Social Sciences Birmingham City University The Curzon Building 4 Cardigan Street Birmingham B4 7BD eirini.mavritsaki(a)bcu.ac.uk<mailto:eirini.mavritsaki@bcu.ac.uk> 0121 331 6361 Special Issue in Frontiers 'Neuropsychology through the lenses of computational modelling' http://fron.tiers.in/go/r2e3M4 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

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Onsite interviews at SfN for Neural Data Analytics - Post Docs, Staff Scientists and Electrical Engineers
by Platt, Jo Ann Oct. 24, 2016

Oct. 24, 2016

Join our team to revolutionize medicine. The Center for Bioelectronic Medicine at the Feinstein Institute for Medical Research is conducting interviews at the 2016 Neuroscience Meeting in San Diego for multiple positions in the fields of machine learning, neural engineering, neural decoding and data analytics, microfabrication, bioelectronics and biosensing, and neurophysiology. Each successful candidate will work as part of a multidisciplinary team to determine the nature of neural control over molecular, cellular and organ functions of the body, the parts of the brain that regulate those nerves, and the signals that the brain receives to monitor cell and organ function. The candidates will work on projects involving development of novel signal processing and machine learning methods to gain insights into decoding and encoding mechanisms of the brain and peripheral nerves, reinforcement learning approaches used to optimize neural stimulation, techniques to directionally transmit or receive neural signals and numerical and biophysical modeling of neural circuits. Submit your resume to japlatt(a)northwell.edu for consideration and to arrange an onsite interview. Jo Ann Platt The Feinstein Institute for Medical Research Cell: (415) 265-0441 350 Community Drive Manhasset, NY 11030 The information contained in this electronic e-mail transmission and any attachments are intended only for the use of the individual or entity to whom or to which it is addressed, and may contain information that is privileged, confidential and exempt from disclosure under applicable law. If the reader of this communication is not the intended recipient, or the employee or agent responsible for delivering this communication to the intended recipient, you are hereby notified that any dissemination, distribution, copying or disclosure of this communication and any attachment is strictly prohibited. If you have received this transmission in error, please notify the sender immediately by telephone and electronic mail, and delete the original communication and any attachment from any computer, server or other electronic recording or storage device or medium. Receipt by anyone other than the intended recipient is not a waiver of any attorney-client, physician-patient or other privilege.

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NIH BRAIN THEORIES--POSTDOCTORAL POSITION
by Stephen Jose Hanson Oct. 24, 2016

Oct. 24, 2016

NIH Post-doctoral Fellowship in BRAIN Initiative: Theories, Models and Methods for Analysis of Complex Data from the Brain Applications for an NIH-funded post-doctoral position are invited for the Laboratory of Dr. Stephen José Hanson’s in the Department of Psychology and in RUBIC (Rutgers Brain Imaging Center) at Rutgers University, Newark, N.J. USA. The focus of research and training is in the area of computational neuroscience, and the development of brain network models based on graphical model selection using dynamical search procedures and the modeling of brain signals arising from neuroimaging data (e.g. fMRI). These projects will be performed in the lab of Dr. Hanson and in conjunction with Dr. Glymour’s (CMU) causal discovery research group. The ideal candidate will have a strong background in computation, statistics, probability theory, multivariate analysis and signal processing. Programming skill sets ( e.g., C++, R, Matlab, Debian, python) would be key to a successful candidate. Additionally, having background in neuroscience, neuroimaging or brain science more generally would be important to a successful application. This is a 2 year position with a 3 rd year possible. Starting date is flexible and with earliest start by December 1. Applications will be accepted until a candidate is hired. Inquiries should be addressed to Stephen José Hanson (jose(a)rubic.rutger s.edu). Please also send applications including a CV, statement of research interests, and the names and full contact details of three referees to jose(a)rubic.rutgers.edu. Relevant publications include: Ramsey J., Hanson S.J. Hanson C., Halchenko Y.O., Poldrack R.A., & Glymour C. (2010). Six problems for causal inference from fMRI. Neuroimage, 49, 1545-1558. Hanson, C., Hanson, S.J., Ramsey, J. & Glymour, C. (2013) Atypical effective connectivity of social brain networks in individuals with autism. J. Brain Connect. 3(6):578-89. Hanson, S. J. & Halchenko, Y. O. (2008). Brain reading using full brain support vector machines for object recognition: there is no face- identification area. Neural Computation, 20, 486-503 Poldrack, R.A., Halchenko, Y., & Hanson, S.J. (2010). Decoding the large-scale structure of brain function by classifying mental states across individuals. Psychological Science, 20, 1364-1372 Ramsey, J., Glymour, M., Sanchez-Romero, R. and Glymour, C. (in Press) A million variables and more: The fa st greedy search algorithm for learning high dimensional graphical causal models, with an application to functional magnetic resonance images. International Journal of Data Science and Analytics. Rutgers is an equal employment opportunity employer. All qualified applicants will receive consideration for employment and will not be discriminated against on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, veteran status, or disability.

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PhD position in Oxford
by Rafal Bogacz Oct. 24, 2016

Oct. 24, 2016

Dear Colleagues, Applications are invited from UK or EU residents for doctoral studies in computational neuroscience, to start in October 2017. The project will be supervised by Rafal Bogacz and will be carried out within the interdisciplinary team of the MRC Brain Network Dynamics Unit. The research can focus on areas investigated by Rafal Bogacz's Group, including: - models of decision making in the basal ganglia - optimising deep brain stimulation - predictive coding models of the cortex Candidates must have a very strong mathematical or computational background and an excellent undergraduate degree in a relevant discipline (e.g. computer science, engineering, mathematics, physics or neuroscience). An undergraduate 1st class or upper 2nd class degree (or equivalent grade) is required for graduate entry into Oxford. The minimum standards for English apply for applicants. This PhD (DPhil) studentship is funded by the Medical Research Council. To be eligible for a full award (stipend in addition to university/college fees) a student must have settled status in the UK, and must have been ‘ordinarily resident’ in the UK for three years prior to the start of the studentship. For further details about student eligibility requirements for full and fees-only awards, please see: http://www.mrc.ac.uk/skills-careers/studentships/studentship-guidance/stude… Formal applications must be made via the University online application system. The relevant course code is: Doctor of Philosophy in Clinical Neurosciences – RD_CU1. In the covering letter, please describe the research you would like to conduct and clarify how your experience and skills would help you in that work. The closing date for applications is 12.00 noon on Friday 13th January 2017. Best wishes, Rafal

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