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Stanford University Job Opportunities: Postdoctoral Fellowship
by Christina Atkinson April 19, 2018

April 19, 2018

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>

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Scientist position in Modeling at the Allen Institute for Brain Science
by Anton Arkhipov April 18, 2018

April 18, 2018

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/>

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2018 NEURON Summer course
by Ted Carnevale April 18, 2018

April 18, 2018

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

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[Jobs] Postdoctoral Fellowships at IBEC BEST Programme (Bioengineering Excellence Scientific Training)
by Vasiliki Vouloutsi April 18, 2018

April 18, 2018

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>

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postdoc positions in statistical neuroscience
by xaq pitkow April 18, 2018

April 18, 2018

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!

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Fully funded PhD position to study neural coding - IIT Rovereto (Italy)
by Stefano Panzeri April 17, 2018

April 17, 2018

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

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Job opening for Neural Engineer / Neuroscientist - Multiple Levels
by Zanos, Theodoros April 16, 2018

April 16, 2018

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.

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Michael Arbib autobiography: From Cybernetics to Brain Theory, and More: A Memoir
by Érdi Péter April 16, 2018

April 16, 2018

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.

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Brainhack Ghent 7-8th May 2018
by Daniel Borek April 13, 2018

April 13, 2018

------------------------------------------------------------ --------------------------------------------- ***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

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Berkeley course in mining and modeling neuroscience data (Application deadline April 20)
by Friedrich Sommer April 13, 2018

April 13, 2018

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

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