- Comp-neuro - lists.cnsorg.org

CALL FOR PAPERS

by Steve Mehrkanoon

*CALL FOR PAPERS* *Special issue* Neural Systems Engineering and Mathematical Modelling of Brain Dynamics using ECoG/EEG/MEG Oscillations and Machine Learning Methods *Journal* IEEE Transactions on Neural Systems and Rehabilitation Engineering *Publication fee: **Free* Paper Submission Deadline: *31/05/2018* Submission portal: *https://mc.manuscriptcentral.com/tnsre-embs* <https://mc.manuscriptcentral.com/tnsre-embs> *PhD students, postdocs, early and mid career research fellows **are **welcome to **contribute to this spe**cial iss**ue**. * *Contributions will receive prompt and thorough peer review and will be published online ahead of print after acceptance.* In humans, interactions between neuronal circuits, systems and signals among micro-, meso- and macro-scales of brain dynamics underpin the functional organisation of the brain that supports our daily life activity. How efficiently neuronal circuits such as cortico-cortical, cortico-thalamic and thalamo-cortical networks interact among these multiple spatial scales remains to be fully elucidated. Mathematical, computational and experimental neuroscientists apply a variety of methods, techniques and algorithms, both in animals and humans, ranging from single cell recordings to whole brain imaging, in order to identify the core mechanisms that govern the interactions among these scales. Although our knowledge of neural mechanisms, circuits and networks underlying brain dynamics and functions constantly grows, the integration of this knowledge to provide a conceptual framework of emergent behaviour and pattern formation occurring on different levels of spatial organisation remains challenging. Authors are invited to submit original or review articles addressing mechanisms of emergent brain dynamics inferred from the analysis of ECoG/EEG/MEG, on all levels of complexity. Specifically, articles integrating (i) computational neuroscience, and (ii) mathematical models of biologically realistic neuronal networks and machine learning methods are welcome. In this special issue, Guest Editor Dr Steve Mehrkanoon welcomes papers that address many of the challenges of mathematical and computational models of the brain networks and dynamics given the measurement data ECoG/EEG/MEG. The scope of this special issue is interdisciplinary. The list of possible topics includes, but is not limited to: - New developments in computational and mathematical models of mean field theory integrated with ECoG/EEG/MEG modalities - Multi-modal and combinatorial fusion of ECoG/EEG/MEG data and brain connectivity machine learning - Development of data-driven machine learning techniques to identify the mechanisms of emergent spatia-temporal dynamics within the framework of network topology - Development of computational and mathematical models for bridging the scales of brain dynamics - Cortical network modelling and formal conceptual models of cortical oscillations - Application of deep learning and machine learning algorithms in functional, structural and effective network analysis and predictive models of brain dynamics. - New cutting-edge numerical analysis and techniques to simulate/implement - Adaptive mathematical and computational models of network dynamics (e.g., brain development and aging studies) - Statistical methods for assessing individual and population brain connectivity data *Guest Editors* 1. *Dr Steve Mehrkanoon* The University of Queensland Centre for Clinical Research, Faculty of Medicine, School of Information Technology and Electrical Engineering, The University of Queensland, Brisbane, Australia Contact: s.mehrkanoon(a)uq.edu.au 1. *Professor David Liley* Centre for Human Psychopharmacology, School of Health Sciences, Swinburne University of Technology, Melbourne, Australia Contact: dliley(a)swin.edu.au 1. *Dr Siamak Mehrkanoon* Department of Electrical Engineering (ESAT), University of Leuven, KU Leuven, Belgium Contact: Siamak.Mehrkanoon(a)esat.kuleuven.be *IMPORTANT DATES* Paper Submission Deadline: 31/05/2018 Notification Of Acceptance: 31/08/2018 Special issue information https://tnsre.embs.org/2018/04/13/call-for-papers-special-issue-on-neural-s… - - - - *Dr Steve Mehrkanoon* Senior Mathematical Neuroscientist, Advance Queensland Research Fellow, Perinatal Research Centre, Faculty of Medicine, Home: http://researchers.uq.edu.au/researcher/14135 Level 4, UQ Centre for Clinical Research, Building 71/918 <https://www.google.com.au/maps/place/UQCCR/@-27.448514,153.028703,15z/data=…> Royal Brisbane and Women’s Hospital, Qld 4029 T: +61 7 33466012 CIRCOS Code 0025B The Faculty of Medicine is embracing the Green Office philosophy. Please consider the environment before printing this email. This email (including any attached files) is intended solely for the addressee and may contain confidential information of The University of Queensland. If you are not the addressee, you are notified that any transmission, distribution, printing or photocopying of this email is prohibited. If you have received this email in error, please delete and notify me. Unless explicitly stated, the opinions expressed in this email do not represent the official position of The University of Queensland.

April 19, 2018

Stanford University Job Opportunities: Postdoctoral Fellowship

by Christina Atkinson

Stanford University’s Department of Psychiatry & Behavioral Sciences is seeking to hire a full time post-doctoral fellow for their Cognitive & Systems Neuroscience Laboratory. This lab is headed by Dr. Vinod Menon who has broad multidisciplinary expertise that spans several scientific disciplines and has published extensively on various aspects of human cognition and brain function. Explore our lab website for more information: http://med.stanford.edu/scsnl.html. POSTDOCTORAL FELLOWSHIP IN COMPUTATIONAL MODELING OF BRAIN NETWORKS Currently Available: The Stanford Cognitive and Systems Neuroscience Laboratory invites applications for a postdoctoralfellowship in computational modeling of human brain imaging data using deep neural networks. The successful candidate will be involved in a multidisciplinary project that seeks to develop novel computational frameworks for robust identification of neurobiological signatures of psychiatric and neurological disorders combining deep learning and convolution networks and dynamic brain circuit analyses with task and resting-state fMRI. Clinical disorders currently under investigation include autism, ADHD, anxiety and mood disorders, learning disabilities, schizophrenia, and Parkinson’s disease. We seek talented and highly-motivated individuals with a strong background in at least one of these areas: deep learning algorithms and optimization (theory and practical implementations); computational modeling, statistical inference, and machine learning, especially as applied to fMRI and MRI data. The candidate will have access to multiple large datasets and state-of-the-art computational resources, including HPCs and GPGPUs. Please email a CV, statement of research interests and relevant background, and have three letters of reference sent to Drs. Vinod Menon and Aarthi Padmanabhan at scsnl.stanford+postdoc(a)gmail.com<mailto:scsnl.stanford@gmail.com>

April 19, 2018

Scientist position in Modeling at the Allen Institute for Brain Science

by Anton Arkhipov

An exciting opportunity at the Allen Institute for Brain Science - a new Scientist position in Modeling is now open. Please apply here: https://alleninstitute.hrmdirect.com/employment/job-opening.php?req=746277&… We are seeking a Scientist to work on bio-realistic modeling of the mouse visual cortex, in close collaboration with in-house experimentalists studying the structure (cell types and connectivity) and in vivo function (patterns of neural activity and computations) of cortical circuits involved in behavior. Our team constructs models of neurons based on in vitro studies (see, e.g., https://www.nature.com/articles/s41467-017-02718-3 and http://celltypes.brain-map.org) and employs them as building blocks for large-scale data-driven models of cortical circuitry (see, e.g., https://www.biorxiv.org/content/early/2018/03/31/292839) The developed models are used to ask questions about activity and mechanisms observed in unprecedented high-throughput in vivo recordings (http://observatory.brain-map.org/visualcoding) We also build and disseminate modeling software to support this work (https://alleninstitute.github.io/bmtk/index.html) Job Responsibilities: - Join ongoing efforts on building and simulating models of cortical areas in the mouse visual cortex, using point-neuron and biophysically detailed (compartmental) approaches. - Use these models to explore mechanisms underlying neural activity and computations observed in vivo in the context of a behavioral task; the aim is to provide mechanistic predictions for subsequent experimental testing by in-house collaborators. - Collaborate with in-house theoreticians and experimentalists to test hypotheses about cortical computations and algorithms in realistic models and in experiments. - Contribute to the development of modeling and analysis software. - Publish/present findings in peer-reviewed journals/scientific conferences. Basic Qualifications: - PhD degree in Neuroscience, Physics, Mathematics, Applied Mathematics, Bioengineering, or related field. SCIENTIST I: 0-2 years postdoctoral experience in computational science SCIENTIST II: 3+ years postdoctoral experience in computational science Desired Qualifications: - Experience in computational neuroscience and/or systems neuroscience is preferred, but other strong applicants will be considered (with background in computational physics, biophysics, and related disciplines). - Candidates with strong background in experimental systems neuroscience, willing to switch to computational work, are encouraged to apply. - Experience with parallel computing is a plus, as well as experience with programming in Python and/or MATLAB. - Experience with models of neurons/neuronal circuits is a plus. - Ability to meet aggressive timelines and deliverables in a collaborative environment is required. - Strong publication record. - Excellent written and verbal communication skills. It is the policy of the Allen Institute to provide equal employment opportunity (EEO) to all persons regardless of age, color, national origin, citizenship status, physical or mental disability, race, religion, creed, gender, sex, sexual orientation, gender identity and/or expression, genetic information, marital status, status with regard to public assistance, veteran status, or any other characteristic protected by federal, state or local law. In addition, the Allen Institute will provide reasonable accommodations for qualified individuals with disabilities. Anton Arkhipov Associate Investigator T: 206.548.8414 antona(a)alleninstitute.org<mailto:antona@alleninstitute.org> Allen Institute for Brain Science www.alleninstitute.org<http://www.alleninstitute.org/>

April 19, 2018

2018 NEURON Summer course

by Ted Carnevale

The 2018 NEURON Summer Course will be held at Emory University in Atlanta, Georgia, from Monday, August 6, through Saturday, August 11. The course will present a thorough introduction to computational modeling of neurons and networks with NEURON, and is suitable for individuals at all levels of expertise. This year continues the 6 day curriculum we introduced last year in order to provide expanded coverage of parallel simulation, and to give participants more time for active learning exercises. The registration deadline is Monday, July 16, 2018. No applications will be accepted after that date, and there will be no on-site registration. Space is limited, and applications will be considered in the order received. For more information and the on-line registration form, see http://www.neuron.yale.edu/neuron/static/courses/summer2018/summer2018.html --Ted

April 18, 2018

[Jobs] Postdoctoral Fellowships at IBEC BEST Programme (Bioengineering Excellence Scientific Training)

by Vasiliki Vouloutsi

Dear colleagues, We are looking for a highly motivated postdoctoral candidate with expertise in software engineering and robotics. * *The successful candidate will have the opportunity to join theSPECS-lab group (http://www.ibecbarcelona.eu/specs <http://www.ibecbarcelona.eu/specs>), In Barcelona, Spain*,* and work in an exciting and multidisciplinary environment with different types of robotics platforms including the iCub robot. * * *IBEC’s Programme in Bioengineering Excellence Scientific Training (BEST) aims to attract international experienced researchers in the areas of Nanomedicine, Cell Engineering and ICT for Health, the three research Flagships at the Institute.* * * *The details of the call and instructions for applicants can be found online at * http://www.ibecbarcelona.eu/postdoctoral-fellowships-at-ibec-best-programme…<http://www.ibecbarcelona.eu/postdoctoral-fellowships-at-ibec-best-programme…> *Interested applicants should fill** the application form*https://careers.ibecbarcelona.eu <https://careers.ibecbarcelona.eu/>*before April, 30**th 2018.* For more information please contact: GuillermoTalavera, PhD Project Manager E-mail:gtalavera@ibecbarcelona.eu <mailto:gtalavera@ibecbarcelona.eu> Research Affairs Institute forBioEngineeringof Catalonia (IBEC) Phone: +34 934 031 964 Fax: +34 934 039 702 Web:http://www.ibecbarcelona.eu/ <http://www.ibecbarcelona.eu/> Kind regards, -- Vicky Vouloutsi, PhD Postdoc Researcher at the laboratory for Synthetic Perceptive, Emotive and Cognitive Systems (SPECS <http://specs-lab.com/>) mail: vvouloutsi(a)ibecbarcelona.eu <mailto:vvouloutsi@ibecbarcelona.eu> LinkedIn <https://www.linkedin.com/in/vicky-vouloutsi-28496133/> researchgate <https://www.researchgate.net/profile/Vasiliki_Vouloutsi>

April 18, 2018

postdoc positions in statistical neuroscience

by xaq pitkow

Several postdoctoral research positions in Statistical Neuroscience POSITION: We seek several highly motivated postdoctoral research fellows for a collaborative team project building statistical tools for interpreting large scale neural recordings. The fellows will develop new methods and applications of probabilistic graphical models to infer statistical interactions amongst neurons and with the sensory environment. The tools will be validated in neural network simulations, tested in physiological recordings, and made widely available to the neuroscience community for understanding data from next-generation experiments. TEAM: Fellows will join principal investigators and theorists Krešimir Josić, Genevera Allen, Xaq Pitkow, Ankit Patel, and Robert Rosenbaum. The team will interact closely with experimentalists including co-investigator Andreas Tolias and several other labs interested in applying novel methods we develop. Fellows will also be members of the new Center for Neuroscience and Artificial Intelligence housed at the Baylor College of Medicine and supported in part by the NSF NeuroNex program. The Center brings together interdisciplinary researchers from across Houston, including members from Baylor College of Medicine, Rice University, University of Houston, and University of Texas Health Sciences. Researchers at the Center contribute diverse expertise in fields including neuroscience, machine learning, statistics, physics, computer science, electrical engineering, and applied mathematics. QUALIFICATIONS: Candidates must have outstanding mathematical skills, a PhD in a relevant quantitative discipline, and expertise in probabilistic graphical models or statistical machine learning. APPLYING: Applicants should email a letter of research interests and CV to Camila Lopez (Camila.Lopez(a)bcm.edu) along with contact information for three references. We look forward to hearing from you!

April 18, 2018

Fully funded PhD position to study neural coding - IIT Rovereto (Italy)

by Stefano Panzeri

I am seeking candidates for fully funded PhD positions at the Italian Institute of Technology’s in the lab directed by Stefano Panzeri ( https://www.iit.it/people/stefano-panzeri ) and located in Rovereto (Trento), Italy. IIT collaborates with University of Trento and funds these positions at the PhD course in Cognitive and Brain Sciences. The PhD project can focus on any of the research topics about neural information processing that are of interest to both the candidate and my lab, including: developing mathematical analysis methods and neural network models for studying neural population coding during cognitive tasks, for studying the neural bases of sensory perception and decision making, for linking functional to anatomical connectivity with cellular resolution at the neural population level, and for determining the best theoretical framework to combine recording of neural activity (calcium imaging, electrophysiology, EEG) and intervention on it (optogenetics, TMS). My computational neuroscience lab has developed long-term collaboration with many experimental laboratories including Christopher Harvey and Wei Lee (Harvard Medical School), Nikos Logothetis (Tuebingen), Tommaso Fellin (IIT), Mathew Diamond and Davide Zoccolan (SISSA), Alex Thiele (Newcastle) and others. The PhD project will likely involve collaborations with one or more experimental lab. For recent representative publications please see: van Vugt B, et al, (2018) Science: in press. DOI: 10.1126/science.aar7186 Zaldivar, D., et al, (2018) Current Biology 28: 224-235 Runyan C. A., et al (2017) Nature: 548: 92-96 Panzeri, S, et al (2017) Neuron 93: 491-507 Safaai, H. et al (2015) Proc. Natl. Acad. Sci. USA 112(41): 12834–12839 Fasoli, D. et al (2016) PLoS Computational Biology, 12(8): e1004992. Panzeri, S., et al (2015) Trends in Cognitive Sciences 19: 162-172 Einevoll, G., et al (2013) Nature Reviews Neuroscience, 14, 770-785 The ideal candidate should have a strong background in numerate sciences, and have a strong propensity for interdisciplinary research. No extensive previous experience in neuroscience is needed. However, a keen interest in understanding the brain is essential. The deadline for the formal application will be set to May 31st 2018, but interested candidates are invited me to contact me informally by email ( stefano.panzeri(a)iit.it) *as soon as possible,* and no later than May 1st 2018, by attaching their CV and briefly explaining their interest in this position, to initiate discussion about potential PhD projects of interest. In order to formally apply to the PhD Position, candidates will then need to refer to the call published by Università degli Studi di Trento (see http://www.unitn.it/drcimec/topic-specific-grants ). The PhD positions available for projects under my supervision are those entitled “Neural Coding” and “Computational cognitive neuroscience” Yours truly, Stefano Panzeri

April 17, 2018

Job opening for Neural Engineer / Neuroscientist - Multiple Levels

by Zanos, Theodoros

The Neural Decoding and Data Analytics Lab at the Center for Bioelectronic Medicine, Feinstein Institute for Medical Research is currently recruiting for a Neural Engineer / Neuroscientist (multiple levels). The lab focuses on neural recordings and data analysis methods to gain insights into decoding and encoding mechanisms of the brain and peripheral nerves to and from stimuli, actions and other physiological functions. The lab utilizes a variety of techniques from signal processing, machine learning, optimization, neurophysiology and bioelectronic systems for closed-loop neural recording and stimulation, both in health and in disease models. The ultimate goal is to develop neuromodulation therapies that will observe the state of the organism and the organ system that is targeted, to deliver individualized treatment of diseases in real-time. The successful candidate will develop computational tools, take part in neurophysiology experiments and collect, organize and analyze data, collaborate with other research staff and publish and present data in a timely manner. They will also work collaboratively with other investigators to facilitate their scientific research and training. Furthermore, they will participate in various types of institute and community activities and may apply for grant funding and/or patents as appropriate. Job Responsibilities Include: Develops computational tools for neuroscience research. Perform neurophysiology experiments Performs bioelectronic medicine research. Collaborates with other research staff. Responsible for the planning, collection, organization, analysis and interpretation of research data related to one or more projects Job Type: Full-time Qualifications Associate Engineer (MS Level) - Masters in Engineering, Computer Science or Statistics required Postdoctoral Fellow - Doctorate degree in Engineering, Computer Science or Statistics (Ph.D) required Neural Engineer - Masters in Engineering, Computer Science or Statistics + 3 years of experience required, Doctorate degree preferred Authored/co-authored research papers and/or scientific abstracts, required Experience with various signal processing and machine learning methods, required Strong programming skills of Matlab, required, Python, C++, preferred Research experience in neurophysiology/neuroscience/animal surgery, preferred Knowledge of data analysis software (e.g. Matlab), preferred To apply, please send a cover letter describing your qualifications and an academic CV to tzanos at northwell.edu and include Neural Engineer / Neuroscientist in the subject heading. Thank you, Theodoros Zanos, PhD Assistant Professor Head, Neural Decoding and Data Analytics Lab Center for Bioelectronic Medicine, Room 1257 The Feinstein Institute for Medical Research Hofstra Northwell School of Medicine 350 Community Drive Manhasset, NY 11030 Tel: (516) 562-0484 Cell: (646) 943-3440 Email: tzanos(a)northwell.edu<mailto:tzanos@northwell.edu> Northwell Health Visit us at Northwell.edu<http://northwell.edu/> [cid:image001.png@01D3D58C.42C7E290] 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.

April 16, 2018

Re: [Comp-neuro] Michael Arbib autobiography: From Cybernetics to Brain Theory, and More: A Memoir

by Érdi Péter

Dear All: Accept my apologies, my message was not clear. Michael Arbib's Memoir is 1. available Now from IP addresses with ScienceDirect subscriptions, as https://ac.els-cdn.com/S1389041718301360/1-s2.0-S1389041718301360-main.pdf?… , 2. Elsevier will make open the FINAL version for a certain (?) period. I will send a note, when I will know the details. Kind regards, Peter

April 16, 2018

Michael Arbib autobiography: From Cybernetics to Brain Theory, and More: A Memoir

by Érdi Péter

Dear All: I would like to call your attention to a very very remarkable paper. Michael Arbib, "the" true pioneer of brain theory wrote a very detailed memoir. The paper is a self-reflection to his career from his legendary first book "Brains, Machines & Mathematics" via the Metaphorical Brain to modeling how the brain may support language and much more. Cognitive Systems Research is very lucky to have the chance to publish this extraordinary paper. Elsevier will make it available for a certain period. Enjoy and spread the word! Kind regards, Péter Érdi Editor-in-Chief Cognitive Systems Research aboutranking.com ---------- Forwarded message ---------- Date: Sat, 14 Apr 2018 15:54:57 -0400 From: ScienceDirect Message Center <sciencedirect(a)notifications.elsevier.com> To: perdi(a)kzoo.edu Subject: Cognitive Systems Research: Alert 14 April Can't see this email properly? Click here to view an online version ScienceDirect? Home Alert: Cognitive Systems Research New articles available on ScienceDirect New Articles in Press, 14 April >From Cybernetics to Brain Theory, and More: A Memoir Original Research Article Available online 14 April 2018 Michael A. Arbib Access the ScienceDirect Info site if you have questions about this message or other features of this service. This email has been sent to you by ScienceDirect, a division of Elsevier B.V., Radarweg 29, 1043 NX Amsterdam, The Netherlands, Tel.+31 20 485 3911. ScienceDirect respects your privacy and does not disclose, rent or sell your personal information to any non-affiliated third parties without your consent, except as may be stated in the ScienceDirect online privacy policy. By using email or alert services, you agree to comply with the ScienceDirect Terms and Conditions. To unsubscribe from this alert, please click here. Copyright ? 2018 Elsevier B.V. or its licensors or contributors. ScienceDirect ? is a registered trademark of Elsevier B.V. Subscription ID: 6801b0bb-4cf7-423b-b0b3-84debb758052 Webuser ID: 16559371 Results Event ID: 2ff67920-52f0-4f9d-a20d-8808c263e6cc Batch ID: 4a43c5ee-129a-451c-b821-77ff2a6dd1e2 RTEventId: 72057594312846382 [?id=h5be7865,51c2d93,1] -- You received this message because you are subscribed to the Google Groups "Budapest CNS Group" group. To unsubscribe from this group and stop receiving emails from it, send an email to cneuro-bp+unsubscribe(a)googlegroups.com. To post to this group, send email to cneuro-bp(a)googlegroups.com. Visit this group at https://groups.google.com/group/cneuro-bp. For more options, visit https://groups.google.com/d/optout.

April 15, 2018

Brainhack Ghent 7-8th May 2018

by Daniel Borek

------------------------------------------------------------ --------------------------------------------- ***REGISTRATION IS NOW OPEN // CALL FOR PROJECTS*** DEADLINE: 1st of May ------------------------------------------------------------ --------------------------------------------- Brainhack Ghent 2018 May 7-8, 2018 University of Ghent, Ghent, Belgium https://brainhackghent.github.io/ [APOLOGIES FOR DOUBLE POSTING] Dear all, On 7-8th May 2018, the second edition of Brainhack Ghent will take place at the university of Ghent (FPPW, Henri Dunantlaan 2, 9000 Ghent), as part of the Brainhack Global event (May 2-6). During this two-day event, dedicated to students and PhD students, we will work in teams on neuroscience-related projects. The aim of the event is to collaborate on projects, meet new researchers, make new friendships in academia, learn, share the knowledge on data mining and brain research, but also promote open science in the spirit of the whole Brainhack community (Craddock et al., 2016) <https://gigascience.biomedcentral.com/articles/10.1186/s13742-016-0121-x>. You can now register for Brainhack Ghent 2018 by going to https://brainhackghent.github.io/. At this website, you can also submit a project which will be realised during the two-day event. Projects can be side projects, projects you were always interested in, but never had time to work on, new ideas you want to explore… In order to submit your project, proceed to the ‘project submission’ section, where you can specify the project author, a project title, and a short project outline specifying some scientific context and concrete goals. Of course, you’re always welcome to provide that extra bit of information to help your fellow Brainhackers in their project selection process! For example, you can provide 1-3 key papers related to the project, some requirements (e.g. certain programming skills) for taking part in the project, skills and competences that can be learned in the project... If you have questions about the feasibility/added value/… of a project you want to submit, do not hesitate to contact us (brainhackghent2018(a)gmail.com) We will provide you with feedback as soon as possible! If you prefer to prepare a tutorial in addition to/ instead of submitting a project, you are certainly welcome to contact us as well! We hope to hear from you soon, and please feel free to forward this message to other colleagues whom might be interested!! Best, The Organization Committee of BrainHack Ghent 2018 -- Daniel Borek PhD candidate Department of Data Analysis Ghent University Begijnhoflaan 464, B-9000 Gent, Belgium E-mail: daniel.borek(a)ugent.be

April 13, 2018

Berkeley course in mining and modeling neuroscience data (Application deadline April 20)

by Friedrich Sommer

A reminder: the application deadline is in about 8 days (April 20). Information about the course is below. ------------------ We invite applicants to the 2018 summer course in "Mining and modeling neuroscience data" to be held July 9-20 at UC Berkeley. A description of the course is below and also at: http://crcns.org/course Application deadline is April 20. ----- Berkeley summer course in mining and modeling neuroscience data July 9-20, 2018 Redwood Center for Theoretical Neuroscience, UC Berkeley Organizers: Fritz Sommer, Bruno Olshausen & Jeff Teeters (HWNI, UC Berkeley) Scope This course is for students and researchers with backgrounds in mathematics and computational sciences who are interested in applying their skills toward problems in neuroscience. It will introduce the major open questions of neuroscience and teach state-of–the-art techniques for analyzing and modeling neuroscience data sets. The course is designed for students at the graduate level and researchers with background in a quantitative field such as engineering, mathematics, physics or computer science who may or may not have a specific neuroscience background. The goal of this summer course is to help researchers find new exciting research areas and at the same time to strengthen quantitative expertise in the field of neuroscience. The course is sponsored by the National Institute of Health, the National Science Foundation from a grant supporting activities at the data sharing repository CRCNS.org, and the Helen Wills Neuroscience Institute at UC Berkeley. Format The course is “hands on” in that it will include exercises in how to use and modify existing software tools and apply them to data sets, such as those available in the CRCNS.org repository. Course Instructors Robert Kass, Carnegie Mellon University, Pittsburgh Sonja Grün, Juelich Research Center, Germany Frederic Theunissen, University of California Berkeley Odelia Schwartz, University of Miami Stephanie Palmer, University of Chicago Maneesh Sahani, Gatsby Unit, University College London Course Moderators Fritz Sommer and Jeff Teeters, Redwood Center for Theoretical Neuroscience. Speakers To complement the main course instruction there will be lectures in the evenings by local Berkeley and UCSF neuroscientists presenting their research using quantitative approaches. Requirements Applicants should be familiar with linear algebra, probability, differential and integral calculus and have some experience using MatLab and Python. Each student must bring a laptop with both MatLab and Python installed. Cost There is no cost to attend. Non-local attendees will be reimbursed for economy travel expenses (up to a maximum of $500 domestic and $600 foreign) and will have most meals provided. Housing Rooms in the University dorms will be provided for those non-local attendees who need accommodations. Most dorm rooms are double occupancy (shared). Food Almost all meals will be provided to non-local attendees and some meals will be provided to local attendees. How to apply To apply, submit the online form linked from: http://crcns.org/course. A curriculum vitae and a letter of recommendation are required. The course is limited to 25 students. Deadlines Applications must be received by April 20. Notifications of acceptance will be given by May 15. Questions Questions about the course can be sent to course [at] crcns.org. Topics covered (subject to change): Basic approaches: - The problem of neural coding - Population coding - Spike trains, firing rate, point processes, and generalized linear models - Statistical thinking in neuroscience - Overview of stimulus-response function models - Theory of model fitting / regularization / hypothesis testing - Bayesian methods - Spike sorting - Estimation of stimulus-response functionals: regression methods, spike-triggered covariance - Variance analysis of neural response - Estimation of SNR. Coherence Information theoretic approaches: - Information transmission rates - Scene statistics approaches and neural modeling Techniques for analyzing multiple-channel recordings: - Unitary event analysis - Proper surrogates for spike synchrony analysis - Sparse coding/ICA methods, vanilla and methods including statistical models of nonlinear dependencies - Deep learning and supervised learning - Methods for assessing functional connectivity - Generalized Linear Models - Multivariate phase coupling - Statistical issues in network identification - Low-dimensional latent dynamical structure in network activity – Gaussian process factor analysis and newer approaches - Extracting population responses to experimental inputs - LDA, DPCA and other low-rank regression

April 13, 2018

Call for Summer School: Big Data and Analytics, University of Essex, UK (23 July –3 August 2018)

by Raza, Haider

Dear All, On behalf of the Institute of Analytics and Data Science, University of Essex, we are pleased to invite you to attend its fourth annual “Big Data and Analytics Summer School 2018”. The Summer School will be held at the University of Essex, Colchester Campus, England, UK from 23 July - 3 August 2018. Link: https://www.iadssummerschool.com/. The list of speakers is available at https://www.dropbox.com/s/ufpw7z0xhgf42lm/Summer%20School%20Poster%202018.p… * ** Scholarships are available for students and postdocs. It will be awarded on an application basis, and only applicants from developing countries are eligible to apply. ** Deadline 15 April 2018 The fourth annual IADS Big Data and Analytics Summer School provides graduates, postgraduates, researchers, academics, business professionals, and practitioners, with the opportunity to join leading academics, data scientists, and engineers from around the world to explore the latest advancements in computer science. Immerse yourself and network with influential data science leaders from organizations such as Microsoft, BT, Fraunhofer, Micro Focus, Celtra, and more, providing training topics that include: * Methodologies and techniques for Big Data and analytics * Practical applications such as in business, health, and other sectors * Data curation and management. The legal, ethical, and human rights implications of data. With our one or two weeks customizable programs, courses are delivered over parallel sessions. Our great value ticket prices include access to introductory, intermediate, and advanced courses, suggested pathways, keynote talks, exclusive access to our social and networking evenings, and certification. If you have any questions or concerns, please contact: “Miss Shaaba Lotun”, IADS Executive Officer Telephone: +44(0)1206 973496 Email:iadssum@essex.ac.uk<mailto:iadssum@essex.ac.uk> -- Best Regards! -- Dr Haider Raza Postdoctoral Research Fellow, Institute for Analytics and Data Science, University of Essex, Wivenhoe Park Colchester, CO4 3SQ E h.raza(a)essex.ac.uk<mailto:h.raza@essex.ac.uk> T +44 (0)1206 87 3211 W www.essex.ac.uk/iads<http://www.essex.ac.uk/iads> OW https://www.essex.ac.uk/people/razah72409 PW https://sites.google.com/site/whoishraza/home Social: || LinkedIn<https://www.linkedin.com/in/sagihaider/> || ResearchGate<https://www.researchgate.net/profile/Haider_Raza3> || GoogleScholar<https://scholar.google.co.uk/citations?user=oM66s7wAAAAJ&hl=en> ||

April 12, 2018

Workshop: Dynamics of learning and computations in neuronal circuits, June 27-29, 2018, Göttingen

by farzad

April 12, 2018

Book Announcement: Mathematical and Theoretical Neuroscience

by thierry nieus

Apologies for multiple postings. Dear Colleagues, The following book is now available: "Mathematical and Theoretical Neuroscience" (Springer). This volume gathers contributions from theoretical, experimental and computational researchers who are working on various topics in theoretical/computational/mathematical neuroscience. The focus is on mathematical modeling, analytical and numerical topics, and statistical analysis in neuroscience with applications. The following subjects are considered: mathematical modelling in Neuroscience, analytical and numerical topics; statistical analysis in Neuroscience; Neural Networks; Theoretical Neuroscience. The book is addressed to researchers involved in mathematical models applied to neuroscience. All chapters of the book are relative to the talks given at the NeuroMath Indam meeting: http://www.mat.unimi.it/users/naldi/NeuroMath/ More information (in particular the Table of contents) can be found on the following web page: https://link.springer.com/book/10.1007/978-3-319-68297-6 Best regards Thierry Nieus Giovanni Naldi -- Department of Biomedical and Clinical Sciences "Luigi Sacco" University of Milan via G. B. Grassi 74 - 20157 Milano <https://maps.google.com/?q=via+G.+B.+Grassi+74+-+20157+Milano&entry=gmail&s…>

April 12, 2018

Postdoc in computational neuroscience / behavioral modelling & fMRI, Dresden, Germany

by Lorenz Gönner

We invite applications for a Postdoctoral Fellow in Computational Neuroscience. The successful candidate will be an independent researcher with proven record in computational modeling of behavioral data and strong team-work abilities. Previous experience in brain imaging is not required, but highly useful. The candidate will be in charge of modelling behavioral data from decision-making and executive control tasks, improving existing and developing new methods in the field of computational neuroscience. Furthermore, the successful candidate is expected to instruct and supervise PhD students. In addition, the position offers the possibility for further scientific qualification (i.e., Habilitation). The position is associated to the Collaborative Research Center (CRC 940) “Volition and Cognitive Control: Mechanisms, Modulators, and Dysfunctions”, comprising of 14 projects with a budget of over 10 Mill. € in its second funding period. The center combines expertise from experimental and biological psychology, cognitive-affective neuroscience, lifespan developmental neuroscience, clinical psychology and psychiatry to investigate cognitive and neural mechanisms and modulators of volitional control, the development and aging of these mechanisms, and volitional dysfunctions in selected mental disorders. The CRC and the TU Dresden (which is one of the 11 Universities of Excellence selected by the German Research Foundation and the German Council of Science and Humanities) provide an outstanding scientific infrastructure and ideal environment for interdisciplinary cooperation. The salary is according to the E13 TV-L dispositions. Contract is initially limited till July 2020. For details concerning the position and the application process, see https://www.uniklinikum-dresden.de/de/jobs-und-karriere/stellenangebote/wis…

April 12, 2018

NEST Conference 2018 --- Abstract submission and registration open

by Hans Ekkehard Plesser

Dear colleagues! It is a great pleasure to invite everyone interested in large-scale neural network simulation, particularly current and potential users of NEST, the Neural Simulation Tool (http://www.nest-simulator.org) to the NEST Conference 2018 to be held on 25/26 June 2018 (Monday/Tuesday, lunch to lunch) on the beautiful campus of the Norwegian University of Life Sciences at Ås, 30km south of Oslo. The NEST Conference provides an opportunity for the NEST Community to meet, exchange success stories, swap advice, learn about current developments in and around NEST spiking network simulation and its application. We would like you to share your experiences made and results obtained with NEST during the conference. You can do so either by a short oral presentation (10–15 minutes), on a poster, through a demo, or by organizing group work. Important dates • 30 April 2018 — Deadline for child-care requests • 13 May 2018 — Deadline for abstract submissions • 17 May 2018 — Notification of acceptance • 25 May 2018 — Deadline for registration For details, abstract submission and registration, please see http://www.nest-initiative.org/conference You are also welcome to contact us at conference(a)nest-initiative.org. We are looking forward to welcoming you to Ås in June! Hans Ekkehard Plesser President The Neural Technology Simulation Initiative http://www.nest-initiative.org -- Dr. Hans Ekkehard Plesser Associate Professor Faculty of Science and Technology Norwegian University of Life Sciences PO Box 5003, 1432 Aas, Norway Phone +47 6723 1560 Email hans.ekkehard.plesser(a)nmbu.no Home http://arken.nmbu.no/~plesser

April 12, 2018

Virtual Think Tank: Shaping AI and Augmented Cognition in the USAF of 2030

by Jeff Krichmar

Dear Colleagues, Help us catalyze and shape future major science investments of the DOD and beyond. We have been tasked to prepare a report for the USAF leadership on how AI and Augmented Cognition should factor into USAF investments with a time horizon of a decade plus (2030). Because advances in the various relevant disciplines and technologies are occurring in a non-linear fashion, preparing such a report is extremely challenging. Without question, how the USAF operates across space, air, land and cyber will all be profoundly affected. In addition, the question of strategic surprise must be considered because other nations are investing heavily in these domains currently and where the paradigm breaking advances will occur is not readily predictable. Our goal is to have a draft report ready by June 30 and to that effect, we are convening a number of events (both face-to-face and on-line) and activities to gain input from community members. Useful input will come from across the intellectual waterfront, not just the AI, Cognitive Science and Computer Science communities. We are particularly interested in the ethical, legal and social issues associated with how AI and Augmented Cognition will play out in the US Air Force milieu. The primary objective of the effort is to illuminate the 2030 technology horizon for AI in the USAF context. A secondary objective is to facilitate the building of a community of USAF aligned experts who can provide continuing advice to the USAF as an external advisory board (akin to the Jasons). The final objective is to facilitate the discussions necessary to build a pipeline of technological expertise in AI to avoid or respond to strategic surprise in this area. If you’d like to get involved, please use this link: https://goo.gl/CkntHq to complete a 1-minute application. Once part of the team, you’ll be able to get more information about: 1. The asynchronous online activities, between April 10-27. 2. The three online MicroLabs (interactive online events) on April 30, May 1 and May 2. 3. The face-to-face IdeasLab workshop on May 7 - May 11. 4. The virtual components of the IdeasLab (between May 7 - May 11) for those that can?t join us in person. 5. Theˇpost-workshop review activities of the draft report between May 11 and June 8. More information is at: https://hub.ki/groups/gmuai/overview Sincerely, James Olds - Former head of the Biological Sciences Directorate at NSF and University Professor of Neuroscience and Public Policy at the Schar School, George Mason University Stephen Fiore - Director, Cognitive Sciences Laboratory, and Professor with the University of Central Florida's Cognitive Sciences Program in the Department of Philosophy and Institute for Simulation & Training Jeff Krichmar - Professor in the Department of Cognitive Sciences and the Department of Computer Science at the University of California, Irvine Event facilitator: Stavros Michailidis, Knowinnovation, stavros.michailidis(a)knowinnovation.com Please send an email with any questions or if there are any issues with the above links and please include USAF 2030 AI in the subject line of all event inquiries. 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

April 11, 2018

REMINDER: Valentino Braitenberg Award for Computational Neuroscience - Call for Nominations

by Alexandra Stein

Dear Colleagues, The Bernstein Association for Computational Neuroscience invites nominations for the Valentino Braitenberg Award for Computational Neuroscience. The Bernstein Association for Computational Neuroscience presents the award biennially to a scientist in recognition of outstanding research that contributes to the understanding of the functioning of the brain. The major criterion for the award is the impact or potential impact of the recipient's research on the field of brain science. In the spirit of Valentino Braitenberg's own research, special emphasis is given to theoretical studies elucidating the functional implications of brain structures and their neuronal network dynamics. The awardee receives €5.000 prize money, donated by the Autonome Provinz Bozen Südtirol, as well as an invitation to the Bernstein Conference 2018 (including registration fee, travel- and accommodation expenses). The award will be presented together with a Golden Neuron pin in a special award ceremony at the Bernstein Conference, followed by a lecture of the Braitenberg Awardee. Nominations may be submitted by scientists working in the field of computational neuroscience and should include the following documents: - One-page laudation, in which the scientific work of the candidate is honored with regard to the award criteria - CV and list of publications Deadline for nominations is April 30, 2018 by email to a.stein(a)fz-juelich.de<mailto:a.stein@fz-juelich.de> Please note that self-nominations are not permitted. The call for nominations can be found under the following URL: www.nncn.de/en/bernstein-conference/2018/braitenberg_award<http://www.nncn.de/en/bernstein-conference/2018/braitenberg_award> For inquiries please contact a.stein(a)fz-juelich.de<mailto:a.stein@fz-juelich.de>. Best regards, Alexandra Stein -- Dr. Alexandra Stein Head of Bernstein Coordination Site Bernstein Network Computational Neuroscience | Bernstein Coordination Site (BCOS) Branch Office of the Forschungszentrum Jülich at the University of Freiburg Hansastr. 9A | 79104 Freiburg, Germany phone: (+49) 0761 203 9583 mobile: (+49) 0151 67114645 mail: a.stein(a)fz-juelich.de<mailto:a.stein@fz-juelich.de> web: www.bernstein-network.de<http://www.bernstein-network.de> Twitter: NNCN_Germany YouTube: Bernstein TV Facebook: Bernstein Network Computational Neuroscience, Germany LinkedIn: Bernstein Network Computational Neuroscience, Germany ------------------------------------------------------------------------------------------------ ------------------------------------------------------------------------------------------------ Forschungszentrum Juelich GmbH 52425 Juelich Sitz der Gesellschaft: Juelich Eingetragen im Handelsregister des Amtsgerichts Dueren Nr. HR B 3498 Vorsitzender des Aufsichtsrats: MinDir Dr. Karl Eugen Huthmacher Geschaeftsfuehrung: Prof. Dr.-Ing. Wolfgang Marquardt (Vorsitzender), Karsten Beneke (stellv. Vorsitzender), Prof. Dr.-Ing. Harald Bolt, Prof. Dr. Sebastian M. Schmidt ------------------------------------------------------------------------------------------------ ------------------------------------------------------------------------------------------------

April 11, 2018

Three Postdoctoral or PhD positions in Stochastic Signal Processing/Computational Modelling fMRI/EEG

by Shankar Tumati

Three postdoctoral (or graduate) positions are available at the Mind, Brain Imaging & Neuroethics lab. The candidates should have strong background in brain imaging (fMRI, MRS, EEG/MEG, TMS) and preferably strong education in neuroscience/brain imaging, engineering, physics, and/or computational neuroscience for data analyses. The project focuses on resting state and its interaction with task-evoked activity in relation to mental features like self and consciousness in both healthy and psychiatric subjects where neuronal, electrophysiological and biochemical measures will be obtained. A specific focus will be on novel ways of dynamic and non-linear analyses of the brain imaging data in conjunction with computational modeling and signal processing analyses. Part of the project will be carried out in China at Zhejiang University in Hangzhou/China and, in part, in Ottawa/Canada as the PI has affiliations with both places. Hence, Chinese skills are of advantage but not a prerequisite for application. More information about our work can be found on the website: www.georgnorthoff.com For PhD candidates. Graduation at University of Ottawa (PhD) under the supervision of Dr. G. Northoff is possible. Salary for the postdoctoral candidates depends on qualifications and will be around 35.000 CAD to 70.000 CAD. Outstanding candidates may also qualify for faculty position in China. Candidates shall contact: Dr. G. Northoff: georg.northoff(a)theroyal.ca (website: www.georgnorthoff.com)

April 10, 2018

Recent paper on using Machine Learning to classify autism from schizophrenia

by Stephen Jose Hanson

Please find new Machine learning/Neuroimaging research. ?Neuroimage:Clinical Differences in atypical resting-state effective connectivity distinguish autism from schizophrenia Dana Mastrovito, Catherine Hanson, Stephen Jose Hanson Abstract Autism and schizophrenia share overlapping genetic etiology, common changes in brain structure and common cognitive deficits. A number of studies using resting state fMRI have shown that machine learning algorithms can distinguish between healthy controls and individuals diagnosed with either autism spectrum disorder or schizophrenia. However, it has not yet been determined whether machine learning algorithms can be used to distinguish between the two disorders. Using a linear support vector machine, we identify features that are most diagnostic for each disorder and successfully use them to classify an independent cohort of subjects. We find both common and divergent connectivity differences largely in the default mode network as well as in salience, and motor networks. Using divergent connectivity differences, we are able to distinguish autistic subjects from those with schizophrenia. Understanding the common and divergent connectivity changes associated with these disorders may provide a framework for understanding their shared cognitive deficits https://www.sciencedirect.com/science/article/pii/S2213158218300147?via%3Di… Stephen José Hanson Professor & Director Rutgers Brain Imaging Center (RUBIC) Cognitive Science Center (NB) Rutgers University

April 7, 2018

PRNI 2018: THE SUBMISSION DEADLINE HAS BEEN EXTENDED TO 18th APRIL, 2018

by Justin Dauwels (Assoc Prof)

PRNI 2018: THE SUBMISSION DEADLINE HAS BEEN EXTENDED TO 18th APRIL, 2018 ******* please accept our apologies for cross-posting ******* -------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- CALL FOR PAPERS AND TUTORIALS PRNI 2018: 8th International Workshop on Pattern Recognition in Neuroimaging to be held 12-14 June 2018 at the National University of Singapore, Singapore www.prni.org<http://www.prni.org/> - @PRNIworkshop - www.facebook.com/PRNIworkshop/<http://www.facebook.com/PRNIworkshop/> ---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- The 8th International Workshop on Pattern Recognition in Neuroimaging (PRNI) will be held at the Centre for Life Sciences Auditorium, National University of Singapore, Singapore on June 12-14, 2018.Pattern recognition techniques are 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. Authors should prepare full papers with a maximum length of 4 pages (two column IEEE style) for double-blind review. The PAPER submission deadline has been extended until WEDNESDAY, 18th APRIL 2018, 11:59 pm SGT. Accepted manuscripts will be assigned either to an oral or poster sessions. All accepted manuscripts will be included in the IEEE Xplore digital library. Similarly to previous years, in addition to full length papers PRNI will also accept short abstracts (word count not including the title, author list, tables, captions, or references) for poster presentation. Closing date: 04-MAY-2018 Open call for tutorial proposals: Finally, this year PRNI has an open call for tutorial proposals. A tutorial can take a form of 2h, 4h or whole day event aimed at demonstrating a computational technique, software tool, or specific concept. Tutorial proposals featuring hands on demonstrations and promoting diversity (e.g. gender, background, institution) will be preferred. PRNI will cover conference registration fees for up to two tutors per accepted program. The TUTORIAL submission deadline has been extended until WEDNESDAY, 18th APRIL 2018, 11:59 pm SGT Please see www.prni.org<http://www.prni.org/> and follow @PRNIworkshop and www.facebook.com/PRNIworkshop/<http://www.facebook.com/PRNIworkshop/> for news and details. [http://www3.ntu.edu.sg/cits2/CITS_web_resources/signature/img/ntulogo2.jpg] Assoc Prof Justin DAUWELS Associate Professor Deputy Director, ST Engineering - NTU Corporate Laboratory<http://ste-ntulab.ntu.edu.sg/> School of Electrical & Electronic Engineering 50 Nanyang Avenue, S2.2-B2-15, Singapore 639798 T 65-6790-5410 F 65-6790-9313 jdauwels(a)ntu.edu.sg<mailto:jdauwels@ntu.edu.sg> www.ntu.edu.sg<http://www.ntu.edu.sg/> ________________________________ CONFIDENTIALITY: This email is intended solely for the person(s) named and may be confidential and/or privileged. If you are not the intended recipient, please delete it, notify us and do not copy, use, or disclose its contents. Towards a sustainable earth: Print only when necessary. Thank you.

April 7, 2018

CFP: The first International Workshop on Machine Learning in Clinical Neuroimaging (MLCN 2018)

by Mostafa Kia

*Dear Colleagues,We are delighted to invite you to join us for the MLCN 2018 <https://mlcn2018.com/> workshop as a satellite event of MICCAI 2018 conference, Granada, Spain. Call for PapersRecent advances in neuroimaging and statistical machine learning provide an exceptional opportunity for investigators and physicians to discover complex relationships between brain, behaviors, and mental and neurological disorders. MLCN 2018 <https://mlcn2018.com/> workshop, as a satellite event of MICCAI 2018 <http://www.miccai2018.org/en/>, aims to bring together researchers in both theory and application from various fields in domains of spatial statistics, pattern recognition in neuroimaging, and predictive clinical neuroscience. Topics of interests include but are not limited to: - Applications of spatio-temporal modeling in predictive clinical neuroscience- Spatial regularization in decoding clinical neuroimaging data- Spatial statistics in neuroimaging- Learning with structured inputs and outputs in clinical neuroscience- Multi-task learning in analyzing structured neuroimaging data- Deep learning in analyzing structured neuroimaging data- Model stability and interpretability in clinical neuroscienceCONFIRMED SPEAKERS: - Christos Davatzikos (University of Pennsylvania)- Gaël Varoquaux (Parietal team, INRIA)- Jian Kang (University of Michigan)SUBMISSION PROCESS:The workshop seeks high quality, original, and unpublished work on algorithms, theory, and applications of machine learning in clinical neuroimaging and spatially structured data analysis. 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…> of up to 8-pages papers using the CMT system at https://cmt3.research.microsoft.com/MLCN2018 <https://mail.ru.nl/owa/redir.aspx?C=cF_JmZM8kIynrj31nweTMkQwN3oMG8T7g2yKH7j…>. This 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 conference.IMPORTANT DATES: - Paper submission deadline: June 11, 2018- Notification of Acceptance: July 16, 2018- Camera-ready Submission: July 23, 2018- Workshop Date: September 20, 2018Best regards,MLCN 2018 Organizing Committee,Email: mlcnworkshop(a)gmail.com <mlcnworkshop(a)gmail.com>Website: https://mlcn2018.com/ <https://mlcn2018.com/>twitter: @MLCN2018*

April 6, 2018

Open Research Associate Position in the Dept. of Psychiatry, Baylor College of Medicine

by Lopez, Camila

The Papageorgiou/Investigational Targeted Brain Neurotherapeutics Laboratory is seeking a highly motivated Research Associate to manage innovative research with a focus on neuromodulation and neurorehabilitative approaches using imaging-based neurofeedback. Our Laboratory focuses on the following areas: (i) to elucidate the mechanisms that guide plasticity following insult to the brain, by using structural, and functional measures; (ii) induce functional plasticity/reorganization of the brain by applying neurofeedback methods, such as real-time fMRI and EEG; (iii) develop optimization neurofeedback approaches via computational modelling; (iv) develop MR-compatible instruments that will assist in examining plasticity for our longitudinal studies. Our goal is to elucidate the mechanisms involved in cortical blindness, motor impairment, and chronic pain using highly quantitative methods, such as population receptive field, multivariate and univariate analyses. Equally important, our studies focus on a variety of innovative approaches, including neurofeedback in targeted and individualized regions of interest based on the patient's location and spatial extent of the lesion, optimization of rt-fMRI nFb methods with the long-term goal of central and peripheral nervous system injury neuro-rehabilitation. Required Qualifications: Ph.D. in Neuroscience, or Psychology or a related field. Masters degree in Neuroscience, or Psychology with 5 years of experience performing human study experiments will substitute for a PhD degree. The Research Associate is expected: • Manage clinical and basic science - fMRI and EEG studies. • Screen and schedule research volunteers. • Perform psychophysics, and behavioral assessments. • Complete study source documents and maintain study files. • Enter all data from research forms. • Perform statistical analysis and image processing. • Maintain compliance with HIPAA and IRB regulations and assist with IRB submissions. •Train undergraduate, and graduate students to run lab studies • Opportunities to contribute and write up scientific publications, including statistical analyses and graphical representation of data and writing. This position requires interfacing with patients: (i) during the recruitment phase; (ii) the experimental, MR scanning phase; and (iii) following up with patients as our studies are longitudinal. The candidate will have excellent interpersonal skills by focusing on solving conflict, maintain confidentiality, listen to others without interrupting, keep emotions under control, remain open to others' ideas in the team. The applicant MUST have the passion and motivation to manage these innovative scientific research studies. Apply: Please send a pdf or word CV, 3-4 references, and cover letter to Dr. Dorina Papageorgiou at papageor(a)bcm.edu<mailto:papageor@bcm.edu> Compensation commensurate with experience up to $50K. Baylor College of Medicine is an Equal Opportunity /Affirmative Action/Equal Access Employer.

April 6, 2018

PhD position at Bernstein Center Berlin available

by Benjamin Lindner

*Benefits of noise in the transmission and processing of time-dependent stimuli by populations of sensory neurons** * We are looking for a PhD candidate to work on signal processing in recurrent neural networks, especially information filtering of sensory signals and the functional role of intrinsic fluctuations and cell heterogeneity. These aspects of neural information processing will be explored by means of analytical calculations, numerical simulations of network models, and the comparison to experimental data (collaboration with Jan Benda, University Tubingen, Germany). In order to get an idea about similar approaches pursued in the past, have a look at our recent paper in PNAS [Grewe, Kruscha, Lindner, and Benda PNAS 114 E1977 (2017)]. The successful candidate should have a degree in physics, mathematics or computational neuroscience (a background in neurobiology is desirable but not obligatory), programming skills (C++, Python, LaTeX, Linux), an excellent command of the English language, good communication skills and team spirit. Funding is provided for three years, starting within the next six months. For details on the doctoral examination process at the Physics Department of Humboldt University Berlin, see https://fakultaeten.hu-berlin.de/en/mnf/wisskar/promotionen/index_html?set_…. Applications, including a letter of motivation, a CV, and a list of three potential referees should be sent by email to   me benjamin.lindner(a)physik.hu-berlin.de  (cc to nikola.schrenk(a)bccn-berlin.de)  The deadline for applications is April 18th 2018, however, later applications might also be considered. Kind regards, -------------------------------------------------------------------------------------------------------------------- Benjamin Lindner Professor for Theory of Complex Systems and Neurophysics Bernstein Center for Computational Neuroscience Berlin Philippstr. 13, Haus 2, 10115 Berlin Room: 1.17, phone: 0049(0)302093 6336 Department of Physics Humboldt University Berlin Newtonstr. 15 12489 Berlin Room: 3.408, phone: 0049(0)302093 7934 http://people.physik.hu-berlin.de/~lindner/index.html --------------------------------------------------------------------------------------------------------------------

April 6, 2018