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[DEADLINE EXTENSION]: The 2nd International Workshop on Machine Learning in Clinical Neuroimaging (MLCN 2019): ENTERING THE ERA OF BIG DATA VIA TRANSFER LEARNING AND DATA HARMONIZATION
by MLCN Workshop June 30, 2019

June 30, 2019

Dear Colleagues,The submission deadline for MLCN 2019 workshop as a satellite event of the MICCAI 2019 conference has been extended to 14/07/2019. For more information, please visit https://mlcnws.com/call-for-papers/ . Call for Papers Recent advances in neuroimaging and machine learning provide an exceptional opportunity for investigators and physicians to discover complex relationships between brain, behaviors, and mental and neurological disorders. The MLCN 2019 workshop (https://mlcnws.com) as a satellite event of MICCAI 2019 (https://www.miccai2019.org) aims to bring together researchers in both theory and application from various fields in domains such as *e.g.* machine learning, neuroimaging, predictive clinical neuroscience, *etc.* Topics of interests include, but are not limited to: - Transfer learning in clinical neuroimaging - Model stability in transfer learning - Data prerequisites for successful transfer learning - Domain adaptation in neuroimaging - Data harmonization across sites - Data pooling – practical issues - Cross-domain learning in neuroimaging - Interpretability for transfer learning - Unsupervised methods for domain adaptation - Multi-site data analysis, from preprocessing to modeling - Big data in clinical neuroimaging - Scalable machine learning methods - Benefits, problems, and solutions of working with very large datasets SUBMISSION PROCESS: The workshop seeks high quality, original, and unpublished work on algorithms, theory, and applications of machine learning in clinical neuroimaging related to big data, transfer learning, and data harmonization. Papers should be submitted electronically in Springer Lecture Notes in Computer Science (LCNS) style ( https://www.springer.com/gp/computer-science/lncs/conference-proceedings-gu…) with up to 8-pages and using the CMT system at https://cmt3.research.microsoft.com/MLCN2019. The MLCN workshop uses a double-blind review process in the evaluation phase, thus authors must ensure anonymous submissions. Accepted papers will be published in a joint proceeding with the MICCAI 2019 conference. IMPORTANT DATES: - Paper submission deadline: July 14, 2019 (23:59 PST) - Notification of Acceptance: August 5, 2019 - Camera-ready Submission: August 12, 2019 - Workshop Date: October 13, 2019 Best regards, MLCN 2019 Organizing Committee <https://mlcnws.com/organization/>, Email: mlcnworkshop(a)gmail.com Website: https://mlcnws.com/ twitter: @MLCNworkshop <https://twitter.com/MLCNworkshop>

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Neuronal Oscillations Workshop at CNS-2019 - July 17, 2019 - Barcelona + Data Blitz
by Horacio G. Rotstein June 29, 2019

June 29, 2019

Dear All, We would like to call your attention to the CNS-2019 ( https://www.cnsorg.org/cns-2019) workshop on "Neuronal Oscillations: mechanisms, computational properties, and functionality" on July 17, 2019. Please check the information here <http://www.vassiliscutsuridis.org/workshops/CNS2019/CNS2019web.htm> http://www.vassiliscutsuridis.org/workshops/CNS2019/CNS2019web.htm The CNS workshops originated as a spontaneous gathering of CNS participants interested in discussing a specific topic. In order to revive this tradition and give the opportunity to the community to interact, this year we are including a *data blitz* session. CNS participants interested in briefly presenting their work are encouraged to do so. It will be helpful if you contact us in advance to be able to plan. Looking forward to seeing you in Barcelona Horacio -- Horacio, NY/NJ area. Horacio G. Rotstein, PhD (he/him/his) Professor Mathematical Biology & Computational Neuroscience BioDatanamics Lab Federated Department of Biological Sciences Rutgers University / New Jersey Institute of Technology Newark, NJ, 07102, USA. Graduate Faculty Behavioral Neurosciences Program Rutgers University (NWK) tel: (1-973) 596-8460 e-mail: horacio(a)njit.edu horacior(a)andromeda.rutgers.edu <horacio(a)njit.edu> http://web.njit.edu/~horacio

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Fw: Research Associate Position in Early detection of Alzheimer's
by Dr. Krishna Miyapuram June 28, 2019

June 28, 2019

Applications are invited from interested and motivated candidates for the post of Research Associate in a time-bound research project funded by India-Trento Programme for Advanced Research for a temporary period purely on contractual basis. Principal Investigator Dr. Krishna Prasad Miyapuram. Project Title Early detection of Alzheimer’s using Individualized Brain Atlases and Machine Learning. Name of the Post Research Associate. Salary Rs. 36000/- + HRA (subject to revision as per DST norms). Essential Qualification PhD in Psychology, Cognitive Science, Neuroscience, Computer Science, Electrical Engineering, Biomedical Engineering, or any other related field. Desirable Qualification Previous knowledge of structural and functional MRI, Brain Imaging Techniques, Programming experience in Matlab, Brain connectivity Analysis, Familiarity with Machine Learning techniques. Tenure The appointment will be for One Year duration. How to Apply Interested candidates should apply by sending a CV by e-mail to the PI Dr Krishna Prasad Miyapuram Assistant Professor (HSS & CSE) Indian Institute of Technology – Gandhinagar (email: kprasad(a)iitgn.ac.in) preferably before July 5th, 2019. The applications will remain open until the Position is filled. Selection will be based on the interview (by telephone for outstation candidates). Shortlisted candidates will be intimated well in advance the date and time of the interview. Contact E-mail: kprasad(a)iitgn.ac.in.

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Two related articles on Efficient Coding in the Brain
by Jeff Krichmar June 28, 2019

June 28, 2019

Dear Colleagues, I don’t usually like to post papers to these lists. But, I thought it was more than just a coincidence that two papers from our group on how the brain efficiently represents information came out today. Hope you enjoy. Feedback is most welcome. "Neural correlates of sparse coding and dimensionality reduction” M Beyeler, EL Rounds, KD Carlson, N Dutt, and JL Krichmar PLoS Computational Biology https://journals.plos.org/ploscompbiol/article?id=10.1371/journal.pcbi.1006… "Making BREAD: Biomimetic Strategies for Artificial Intelligence Now and in the Future” JL Krichmar, W Severa, MS Khan, JL Olds Frontiers in Neuroscience - Neuromorphic Engineering Section https://www.frontiersin.org/articles/10.3389/fnins.2019.00666/full Best regards, Jeff Krichmar Department of Cognitive Sciences 2328 Social & Behavioral Sciences Gateway University of California, Irvine Irvine, CA 92697-5100 jkrichma(a)uci.edu http://www.socsci.uci.edu/~jkrichma

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Modeller's Workshop for the Brain Dynamics Toolbox, 1-19 July 2019.
by Stewart Heitmann June 28, 2019

June 28, 2019

Modeller’s Workshop for the Brain Dynamics Toolbox Online Course July 1-19, 2019 The Brain Dynamics Toolbox is an open toolbox for simulating dynamical systems in neuroscience. This on-line course is for researchers, students and instructors who wish to use the toolbox to build their own dynamical models. Participants learn the art of programming differential equations in Matlab and how to use the toolbox to solve those equations interactively. Topics include programming Ordinary Differential Equations, Partial Differential Equations, Delay Differential Equations, Stochastic Differential Equations, Auxiliary Plot Functions and command-line tools. Example code is provided in all cases. https://bdtoolbox.org/p/modellers-workshop/ Important Dates Early-bird enrolments ($100) close Friday 7th July, 2019. Late enrolments ($150) close Friday 19th July, 2019. Lifetime Access This is a self-paced on-line course. After enrolling, students have unlimited lifetime access to the course materials. Stewart Heitmann | Computational Scientist Victor Chang Cardiac Research Institute | Lowy Packer Building | 405 Liverpool St, Darlinghurst NSW 2010 Australia E: s.heitmann(a)victorchang.edu.au | @VictorChangInst ______________________________________________________________________ The Victor Chang Cardiac Research Institute's Email is scanned by the MessageLabs Email Security System.

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Postdoctoral position at the University of Pittsburgh
by Anna Manelis June 27, 2019

June 27, 2019

*Postdoctoral Position opening at the University of Pittsburgh in neuroimaging of mood disorders* Candidates are being considered for a post-doctoral associate position in the Anticipation, Cognition and Emotion lab ( www.ace.pitt.edu ) at the University of Pittsburgh (http://www.pitt.edu) to work with Dr. Anna Manelis and her team. A successful candidate will work on the NIMH funded research project that uses multimodal neuroimaging (fMRI, MRI, DTI and fNIRS) to understand the contribution of anticipatory processing to cognitive and emotional dysfunction in individuals with mood disorders. Pittsburgh is a vibrant community which promotes diversity and collaboration within its university and medical systems. Our lab works in conjunction with the University of Pittsburgh Medical Center to perform neuroimaging studies which will help us to better understand mood disorders, including major depressive disorder and bipolar disorders. *Required Qualification*s: we are seeking a highly motivated candidate with a PhD degree (or anticipated PhD degree) in psychology, cognitive neuroscience, computational neuroscience or a related discipline. A strong research background in the analysis and interpretation of neuroimaging data is required. A successful candidate will have excellent writing and communication skills. Candidates with a strong computational background are encouraged to apply. Experience with FSL, Freesurfer and E-prime is preferred. The ability to program in Shell, Matlab, Python and/or R is preferred. Experience with fNIRS, graph modeling and pattern classification analyses is a plus. While prior experience with clinical populations is not necessary, we expect candidates to be interested in neuroimaging research of working and episodic memory and/or anticipatory and emotional processing in individuals with mood disorders. *Responsibilities*: · Help to run fMRI/fNIRS experiments · Analyze fMRI, MRI, DTI and fNIRS neuroimaging data · Write manuscripts · Present findings from studies at conferences This is a full-time position that can be extended to 3 years. We are looking for someone to join our lab in Fall 2019 (with some flexibility). This position is funded by the NIMH and salary will vary based on experience. If you are interested in this position, please send a CV, research statement, preprints/reprints of papers, and the names and contact information for two references to *Anna Manelis (manelisa(a)upmc.edu <manelisa(a)upmc.edu>).*

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Paper: Forward propagation closed loop learning
by Bernd Porr June 27, 2019

June 27, 2019

Dear all, we have a new paper out where we have propagated errors forwards (and not backwards): "For an autonomous agent, the inputs are the sensory data that inform the agent of the state of the world, and the outputs are their actions, which act on the world and consequently produce new sensory inputs. The agent only knows of its own actions via their effect on future inputs; therefore desired states, and error signals, are most naturally defined in terms of the inputs. Most machine learning algorithms, however, operate in terms of desired outputs. For example, backpropagation takes target output values and propagates the corresponding error backwards through the network in order to change the weights. In closed loop settings, it is far more obvious how to define desired sensory inputs than desired actions, however. To train a deep network using errors defined in the input space would call for an algorithm that can propagate those errors forwards through the network, from input layer to output layer, in much the same way that activations are propagated. In this article, we present a novel learning algorithm which performs such ‘forward-propagation’ of errors. We demonstrate its performance, first in a simple line follower and then in a 1st person shooter game." https://journals.sagepub.com/doi/10.1177/1059712319851070 The PDF of the accepted submission version can be found on my personal homepage: https://www.berndporr.me.uk/Porr_Miller_FCL_2019_Adaptive_Behaviour.pdf https://www.berndporr.me.uk/publications.php The code is available here: https://github.com/glasgowneuro/feedforward_closedloop_learning A video clip of the learning behaviour of a simple FPS agent is here: https://www.youtube.com/watch?v=QLVDBdlAQLY Best, /Bernd Porr & Paul Miller -- www: http://www.tinnitustailor.tech http://www.attys.tech http://www.glasgowneuro.tech http://www.berndporr.me.uk Mobile: +44 (0)7840 340069

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LAST DAYS to register to the Summer School in Computational and Theoretical Models in Neuroscience, Venice, Italy
by suweis infn June 26, 2019

June 26, 2019

ConTaMiNEURO 2019 Summer school ,Venice, Italy (September 9th - September 14th, 2019) - LAST DAYS TO REGISTER I would like to bring to your attention to the Summer School in Computational and Theoretical Models in Neuroscience, ConTaMiNEURO 2019 <http://neuroschool19.liphlab.com/> Thanks to the support of our sponsor, in particular the University of Padova and the newborn Padova Neuroscience Center (PNC <http://pnc.unipd.it/>), the early bird registration fee for Ph.Ds students and Post Docs is 200 Euro, DEADLINE is 30 June 2019. FEW PLACES STILL AVAILABLE ConTaMiNEURO 2019 <http://neuroschool19.liphlab.com/> wants to convey central ideas, methods, and practices of modern computational neuroscience through a combination of lectures, tutorials and seminars. During the course’s mornings, distinguished international faculty deliver lectures and seminars on selected topics in computational neuroscience (see below). For the remainder of the time, students work on research projects under close supervision of tutors and faculty. Research projects will include data analyses and the development of theories to explain experimental observations. The School is will take place from 9 to 14 September at palazzo Ca Bottacin of the University Ca’Foscari, in the heart of Venice. All the details can be found at the school website: http://neuroschool19.liphlab.com/ <http://neuroschool19.liphlab.com/> ConTaMiNEURO 2019 <http://neuroschool19.liphlab.com/> is co-organized by Samir Suweis, Amos Maritan, Maurizio Corbetta, Marco Formentin, Stefano Vassanelli (University of Padova), Achille Giacometti (University of Venice) and Miguel A. Munoz (University of Granada). Invited Speakers Ken Miller, Columbia University, USA. Yiota Poirazi, IMBB-FORTH, Creta. Nicolas Brunel*, Duke University, USA. Andrea Brovelli, University of Marsille. Jordi Soriano, University of Barcellona Mazzuccato Luca, Columbia University & University of Oregon Stefano Panzeri, IIT Rovereto Jesus Cortes, IKERBASQUE: The Basque Foundation for Science Lucilla De Arcangelis, University of Naples Raffaella Burioni, University of Parma Gustavo Deco, Pompeu Fabra University, Barcelona Susanne Ditlevsen, University of Copenaghen Alessandro Treves, Trieste SISSA Misha Tsodyks, Weizmann Institute of Science Marco Zorzi, University of Padova Lamberto Ballan, University of Padova Eleni Vasilaki, University of Shieffield Marcello Pelillo, European Center of Living Techonology & University of Venice Tommaso Fellin, IIT Genova Maria Victoria Sánchez Vives , ICREA-IDIBAPS (Barcelona) Marco dal Maschio, University of Padova Serena del Santo, University of Granada Lorenzo Fontolan, Janelia Farm - - - - - - - - - - - - - - - - - - - - - - - - - - - - - Ass. Prof. Samir Suweis Physics Dept., University of Padova www.liphlab.com @SamirSuweis Tel: +39 049 827 71 74

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The 3rd International Neural Dynamics Summer School 2019
by Conor Houghton June 26, 2019

June 26, 2019

We are offering twelve fully funded positions on the Wellcome Trust sponsored summer school for training and research experience in neural dynamics (TRENDs). This is an opportunity for undergraduate and Masters students to experience experimental and computational neuroscience research. More info can be found here: http://www.bristol.ac.uk/neural-dynamics/information/trends/ 04/09/2019 – 06/09/2019 Bristol University, UK The training and research in neural dynamics summer school is an exciting Wellcome Trust funded course held at the University of Bristol. The aim is to introduce young scientists to experimental and computational techniques used in neuroscience research. The summer school will be a three-day course made up of a series of seminars and lab visits where successful candidates will get first hand experience of electrophysiological recordings (both in vitro and in vivo), EEG recordings, brain imaging, optogenetics, data analysis workshops and practical classes on learning to code in Python. No prior experience is necessary, but a keen interest is essential! We welcome applications from science undergraduates from a wide range of backgrounds (Physics, Engineering, Maths, Computer Science, Neuroscience, Psychology etc.). For successful applicants all costs to attend the course, including travel expenses within the UK, accommodation and food will be covered. Overseas travel expenses will be considered on a case by case basis. Deadline 3 July, 2019 All the best Conor

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3 year postdoc position available
by Dietmar Heinke June 25, 2019

June 25, 2019

The Computational Psychology Lab (https://comp-psych.bham.ac.uk/ ) seeks to recruit a full-time postdoctoral-level Research Fellow for a research project titled "Integrating vision and action through selection history". It is funded by two bodies, UK Research and Innovation (ESRC) and US-funding agency NSF (National Science Foundation). The US collaborator is Professor Joo-Hyun Song, Brown University https://www.brown.edu/academics/cognitive-linguistic-psychological-sciences… The project aims at advancing our understanding of how humans execute visually-guided reaching in multi-object environments. It takes a highly interdisciplinary approach by combining computational modelling and empirical work. The research will be based on earlier work published here: Strauss, S., Woodgate, P.J.W., Sami, S. A., & Heinke, D. (2015) Choice reaching with a LEGO arm robot (CoRLEGO): The motor system guides visual attention to movement-relevant information. Neural Networks, 72, 3-12. http://dx.doi.org/10.1016/j.neunet.2015.10.005<http://dx.doi.org/10.1016/j.neunet.2015.10.005> Informal enquiries should be directed to Dietmar Heinke at D.G.HEINKE(a)bham.ac.uk Closing date: 24 July 2019 An on-line application can be submitted at the bottom of this page: https://bham.taleo.net/careersection/external/jobdetail.ftl?job=19000076&tz… Main Duties/Responsibilities * Undertake work within the specified research grant (ES/T002409/1): * Extend CoRLEGO to model data collected by Professor Joo-Hyun Song * Compare models using Bayesian methods * Conduct behavioural experiments under guidance of Professor Joo-Hyun Song * Disseminate research findings for publication, research seminars, etc. * Supervise students on research related work and provide guidance to PhD students where appropriate to the discipline * Contribute to knowledge transfer in computational modelling and related areas that is of benefit to the College and the University, often under supervision of the Principle investigator * Contribute to public engagement activities * Contribute to generating funding and writing bids Person Specification Skills and Knowledge: * Programming skills (preferably in MatLab), mathematical skills Experience in at least three of the following fields: * Robotics, computer vision, computational modelling, behavioural science (human vision or/and movement control), Bayesian statistics, Markov Chain Monte Carlo (MCMC) methods, Dynamic neural fields Generic skills: * Ability to communicate complex information clearly * Ability to work in an interdisciplinary project * Understanding of and ability to contribute to broader management/administration processes Qualifications * PhD preferably in electrical engineering, computer science, physics or mathematics

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