- Comp-neuro - lists.cnsorg.org

Faculty position at the University of Minnesota, School of Mathematics
by Duane Nykamp Oct. 30, 2018

Oct. 30, 2018

The School of Mathematics at the University of Minnesota has identified Mathematical Biology, including Computational Neuroscience, as a priority area for hiring and invites qualified candidates to apply. Current areas of focus in the department are cancer modeling, cell motility, continuum mechanics in biology, neuroscience, and stochastic processes. Application available at https://www.mathjobs.org/jobs/jobs/12436.

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Postdoctoral Position - BRAIN Initiative
by Woolnough, Oscar Oct. 29, 2018

Oct. 29, 2018

POSTDOCTORAL RESEARCH POSITIONS FUNDED BY BRAIN INITIATIVE GRANT Postdoctoral research positions are available in the lab of Nitin Tandon in Houston. This position is funded by a BRAIN Initiative U01 grant project that uses electro-corticographic (ECoG) recordings and fMRI on a large cohort (n>80) to evaluate psycholinguistic models of reading and speech production to create network level representations of language. Collaborators on the project include Greg Hickok, Stanislas Dehaene, Nathan Crone and Xaq Pitkow; the post-doc will benefit from a close interaction with these experts in the fields of reading, semantics, speech production and computational neuroscience. The selected individuals are expected to be a highly motivated team players with a passion to study cognitive processes using imaging, direct recordings and closed-loop cortical stimulation in humans. They will be responsible for 1) data collection in the epilepsy monitoring unit and in the MRI scanner 2) ECoG and/or fMRI data analysis using analysis pipelines existent in the lab and via the development of innovative analytic strategies including machine learning and AI approaches 3) data presentation at conferences and manuscript preparation. The selected individuals must have a Ph.D. in a field relating to: neuroscience, psychology, cognitive science, mathematics, electrical engineering or computer science. Previous experience in neural time series data analysis, functional imaging studies or studies of language and speech production are desirable – but not crucial. They must possess the ability to independently code in any or all of the following: MATLAB, R or Python. Given the multiple unpredictable variables and privacy issues around data collection in human patients, the individual must possess high ethical and professionalism standards, be able to adapt to a changing environment, reorganize schedules dynamically, and work with short deadlines. A strong publication record and excellent academic credentials are highly desirable. CONTACT DR. NITIN TANDON: Nitin.Tandon(a)uth.tmc.edu<mailto:Nitin.Tandon@uth.tmc.edu> Candidates who are attending the Society for Neuroscience annual meeting at San Diego in November should reach out to schedule a meeting.

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SfN 2018 - Visit the Bernstein Network Computational Neuroscience at booth #4325
by Kerstin Schwarzwaelder Oct. 29, 2018

Oct. 29, 2018

Dear all, The Bernstein Network Computational Neuroscience will be an exhibitor at the SfN Meeting 2018. Please find us at the NEUROSCIENCE IN GERMANY booth #4325. The Bernstein Network will present: * research fields * study and training programs * open positions * research and funding opportunities * infrastructural facilities Furthermore, the German Neuroinformatics Node (G-Node) will present their data management services for organizing, sharing, and publishing research data. Demo presentations times are: Sunday, Monday, Wednesday (Nov 4, 5, 7) 10am - 12pm and 3pm - 5pm, or by individual appointment (mail to: info(a)g-node.org<mailto:info@g-node.org>). We are looking forward to welcoming you at booth #4325! Best regards, Kerstin Schwarzwaelder -- Dr. Kerstin Schwarzwälder Scientific Coordination / Management Officer Please note: Our email addresses have changed. Please use k.schwarzwaelder(a)fz-juelich.de<mailto:k.schwarzwaelder@fz-juelich.de> 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 9589 mail: k.schwarzwaelder(a)fz-juelich.de<mailto:k.schwarzwaelder@fz-juelich.de> web: www.nncn.de<http://www.nncn.de> Twitter: NNCN_Germany<https://twitter.com/NNCN_Germany> YouTube: Bernstein TV<https://www.youtube.com/user/BernsteinNetwork> Facebook: Bernstein Network Computational Neuroscience, Germany<https://www.facebook.com/BernsteinNetwork/> LinkedIn: Bernstein Network Computational Neuroscience, Germany<https://www.linkedin.com/company/bernstein-network-computational-neuroscien…> <https://www.linkedin.com/company/bernstein-network-computational-neuroscien…> ------------------------------------------------------------------------------------------------ ------------------------------------------------------------------------------------------------ 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 ------------------------------------------------------------------------------------------------ ------------------------------------------------------------------------------------------------

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Postdoctoral Swartz Fellowship Positions in Theoretical and Computational Neuroscience at Yale University
by Murray, John Oct. 29, 2018

Oct. 29, 2018

Postdoctoral Swartz Fellowship Positions in Theoretical and Computational Neuroscience at Yale University The Swartz Center in Theoretical Neurobiology at Yale University invites applications for up to two postdoctoral positions in Theoretical and Computational Neuroscience, with flexible start date from mid to late 2019. Competitive candidates include those with a strong quantitative background who wish to gain neuroscience research experience. We especially encourage candidates with an interest in collaborating directly with experimental neuroscientists. The candidates will be expected to perform theoretical/computational studies relevant to one or more laboratories of the Swartz Center at Yale (for a list of affiliated faculty, see: https://medicine.yale.edu/neuroscience/swartz/corelabs.aspx) and will be encouraged to participate in an expanding quantitative biology environment. Candidates must hold a Ph.D. or equivalent degree by the time of beginning the fellowship. Please send a Curriculum Vitae, selected reprints, contact information for three references, and a statement of research interests including the laboratories of interest at Yale. All application materials should be sent electronically to the following e-mail address: john.murray(a)yale.edu<mailto:john.murray@yale.edu> Applications will be reviewed as they are received, but priority will be given to those received on or before January 12th, 2019. For any questions, please contact John Murray<mailto:john.murray@yale.edu?subject=Swartz%20fellowship>. Yale University is an affirmative action/equal opportunity employer. Yale values diversity in its faculty, students, and staff and especially welcomes applications from women and underrepresented minorities. http://neurojobs.sfn.org/jobs/10584092/<https://urldefense.proofpoint.com/v2/url?u=http-3A__neurojobs.sfn.org_jobs_…> John D. Murray ----------------------------------------------- Assistant Professor Department of Psychiatry Yale University School of Medicine murraylab.yale.edu<http://murraylab.yale.edu/> -----------------------------------------------

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Post-doctoral positions: Neurobiology of Learning and Memory in Health and Disease
by Annabelle Singer Oct. 27, 2018

Oct. 27, 2018

Post-doctoral positions available: Neurobiology of Learning and Memory in Health and Disease Description Multiple postdoctoral positions are available in the Singer lab at Georgia Institute of Technology and Emory University School of Medicine studyinghow neural activity produces memories and how stimulating neural activity affects memory and immune function in health and Alzheimer’s disease. To find out more about the Singer Lab, see our lab website http://singer.gatech.edu/ with our recent publications. Major Responsibilities: The successful applicants will examine (a) how neural activity produces memories of experiences or (b) how novel forms of non-invasive neural stimulation affects neural circuits, immune responses, and learning and memory. These projects will focus on the hippocampal circuit and related structures in health and Alzheimer’s disease using a variety of advanced neuroscience techniques. One set of projects will utilize virtual reality behavior, in vivo recordings from many single cells, histological analysis, and innovative data analysis methods in rodents. Another set of projects will use MRI, PET imaging, histological analysis, and molecular signaling assays in both rodents and human patients. This research involves collaboration with other groups at Georgia Tech and Emory and therefore a successful applicant must work well in a collaborative environment. These projects are fully funded for 3-5 years, pending satisfactory annual performance review. The projects offer significant opportunities to perform pioneering research and be trained in cutting-edge neuroscience techniques. All lab members are actively trained in scientific methods and mentored in career development. Applicants will have extensive opportunities to interact with the dynamic, exciting, and collaborative neuroscience and neuroengineering communities at Georgia Tech and Emory University in one of the most affordable and livable major cities of the US. Qualifications The ideal candidates will have a PhD in Neuroscience, Biomedical Engineering, or a related discipline and a record of leading scientific projects to completion. Previous experience with in related techniques including vivo experimentation, histology, behavior, electrophysiology, human or rodent MRI, and/or learning and memory is preferred. Candidates with experience performing advances data analysis or with quantitative backgrounds like signal processing, electrical engineering, and/or programming are encouraged to apply. Candidates should have excellent communication skills and the ability to both collaborate with a team and lead projects. How to Apply: If you meet these requirements and are interested in this position, please provide your detailed CV, a cover letter stating your research interests, and names and contact information for two or three references to Annabelle Singer: asinger(a)gatech.edu Department Description The Wallace H. Coulter Department of Biomedical Engineering at Georgia Techis part of a vibrant biomedical community in Atlanta that includes the Emory School of Medicine, Center for Disease Control and Prevention (CDC), Winship Cancer Institute, Children’s Healthcare of Atlanta (CHOA), Georgia ImmunoEngineering Consortium, Institute for Electronics and Nanotechnology, Petit Institute for Bioengineering and Bioscience, and more. This rich scientific environment provides unique and unparalleled research opportunities, including seminars given by leaders in science and engineering from throughout the U.S. and abroad, opportunities for collaborations, exposure to diverse research programs, and sophisticated core facilities. As such, we offer the best of internationally renowned institutions. The partnerships have created an outstanding undergraduate program and graduate program, now ranked No. 2 in the world. Georgia Tech is an Affirmative Action/Equal Opportunity Employer. Annabelle Singer Assistant Professor Coulter Dept. of Biomedical Engineering Georgia Tech & Emory University 313 Ferst Drive Atlanta, GA 30332 Web: http://singer.gatech.edu/ Email: asinger(a)bme.gatech.edu

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DPG Focus Session "Collective dynamics in neural networks"
by Johannes Zierenberg Oct. 26, 2018

Oct. 26, 2018

Dear all, It is our pleasure to invite you to the focus session "Collective dynamics in neural networks" at the upcoming DPG (German Physical Society) spring meeting: 31 March - 05 April 2019 Regensburg, Germany The aim of the focus session is to provide a forum for discussions on the emergence of a rich set of collective dynamics in neural networks from a physicist perspective. We want to discuss principles that determine collective dynamics as well as the transitions between them, e.g., the role of local learning rules, topology and noise. The focus session consists of two invited talks (Moritz Helias and Anna Levina), selected contributed talks, and a poster session. If you are interested, we encourage you to contribute by submitting an abstract (http://regensburg19.dpg-tagungen.de/programm/abstract) until 01.12.2018 (Bereich: BP). In any case, we welcome you to attend the focus session. Of course, you are more than welcome to share this announcement with your colleagues. Best wishes, Johannes Zierenberg and Viola Priesemann -- Dr. Johannes Zierenberg Postdoctoral Researcher Max Planck Institute for Dynamics and Self-Organization, Göttingen, Germany https://zierenberg.github.io

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Doctoral Scholarships
by Christopher Laurie Buckley Oct. 26, 2018

Oct. 26, 2018

Hi all, Our new round (2019) of Leverhulme Doctoral Scholarships ‘From Sensation and Perception to Awareness’ at the University of Sussex are now online. See, https://www.sussex.ac.uk/sensation/applications <https://www.sussex.ac.uk/sensation/applications> Please have a look at all the great projects. Among the offered projects is one with me on the free energy principle, cognition and robotics so please get in touch if your interested. Best, Chris Dr Christopher L. Buckley Senior Lecturer in Neural Computation Evolutionary and Adaptive Systems Group Sussex Neuroscience Department of Informatics and Engineering University of Sussex Falmer Brighton, UK Twitter: @drclbuckley email: c.l.buckley(a)sussex.ac.uk <mailto:c.l.buckley@sussex.ac.uk>

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Open PhD and Postoc positions in Berlin: Learning in spiking neural networks
by Gütig, Robert Oct. 25, 2018

Oct. 25, 2018

The newly formed research group "Mathematical modeling of neuronal learning", headed by Robert Gütig is seeking highly motivated researchers at the PhD and postdoctoral level to study information processing and learning in spiking neural networks. The group is funded by the Berlin Institute of Health and located at the Charité Medical School in the center of Berlin. Our close proximity to the NeuroCure Cluster of Excellence and the Bernstein Center for Computational Neuroscience facilitates close interactions between our group and Berlin’s vibrant and growing neuroscience community. We use analytical and numerical modeling techniques to identify the computational principles underlying spike based information processing and learning in the central nervous system and to understand how these principles are implemented by biological processes. Open projects center around, but are not limited to, the recently developed tempotron family of spiking neuronal network models (e.g. Gütig & Sompolinsky 2006; Gütig 2016). The positions are available immediately. Applicants should have a strong background in physics, mathematics, computer science, computational neuroscience or a related field and a keen interest in neurobiology and machine learning. Good programming skills (e.g. in C and/or Python) are important and experience with numerical simulations highly beneficial. Previous exposure to neuroscience is preferred but not required. Applications will be considered until all positions are filled. Please send your application or questions to Robert Gütig (robert.guetig at charite.de). When applying please include a detailed CV (including degrees, current academic transcripts, and publication record) and the names and contact information of two referees.

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PhD positions in the Neural Reckoning group at Imperial College
by Dan Goodman Oct. 25, 2018

Oct. 25, 2018

One or more PhD positions in theoretical and computational neuroscience are available in the group of Dan Goodman at Imperial College London (http://neural-reckoning.org) I am interested in supervising students with a strong mathematical, computational or neuroscience background. Projects could be carried out in several possible areas relating to the work in the group. Some suggestions for topics that would be interesting to me are below, but I'm very happy to consider other possibilities. In addition to working within the group, studying at Imperial College provides excellent opportunities for interacting with other theoretical and experimental researchers, both at Imperial and in the many neuroscience groups in London. Suggested areas include: * Spiking neural networks * Auditory and other sensory systems * Machine learning and neuroscience * Simulation and data analysis For more detail, see: http://neural-reckoning.org/openings.html Applicants should initially send me a brief CV and cover letter with a description of research interests or a proposed project, and will eventually have to formally apply through the standard Imperial College mechanism (http://www.imperial.ac.uk/electrical-engineering/study/phd/) There are no strict deadlines, although chances of success are higher for earlier applications as I will consider them as they arrive. EU students from outside the UK are particularly encouraged to apply before Christmas. Funded offers made before Brexit day (March 29) will be honoured by Imperial no matter what happens in the Brexit negotiations, and the last funding panel meeting before that will probably be in early February. So, applying before Christmas means we will have time to process the application and arrange an interview before that meeting. Imperial College requirements: * General requirements: https://www.imperial.ac.uk/study/pg/apply/requirements/ * Country-specific minimum grades: https://www.imperial.ac.uk/study/pg/apply/requirements/pgacademic/ Dan Goodman

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SoAIR 2019: IEEE-RAS Spring School on "Social and Artificial Intelligence for User-Friendly Robots" in Japan
by Amir Aly Oct. 25, 2018

Oct. 25, 2018

CALL FOR APPLICATIONS **Apologies for cross posting ** We are pleased to call for applications for the IEEE-RAS spring school on: "*Social and Artificial Intelligence for User-Friendly Robots*" * Which will be held from 17-24 March, 2019 in Shonan Village, Japan *after the Human-Robot Interaction (HRI) conference that will be held in the near South Korea. *Webpage: **https://inic8.bitbucket.io/SoAIR19/* <https://inic8.bitbucket.io/SoAIR19/> *I. Aim and Scope *Autonomous and intelligent systems are progressively moving into spaces, which have previously been predominantly shaped by human agency. Unlike in the past where machines obediently served their human operators, machines now increasingly act without the intervention of a human. Artificial intelligence is meeting new challenges in the world, though human-like intelligence may still be a distant goal. Robots in factories are coming out of their cages. Autonomous cars are being tested on streets with regular human-driven cars. The private household is changing with the appearance of not only robotic vacuum cleaners, but also with the first-generation of social robots and smart devices. The challenges that face both the robotics and artificial intelligence communities are how the necessary intelligence for such new environments can be created as well as how to make artificial agents capable of not only solving tasks at hand but also considering social environments around them during interaction with human users so as to behave appropriately. Within the school, we plan to address the tension created by the balance between task-specific artificial intelligence and the demands of sociability required to function effectively in human-centered environments. ** *This spring school is a Technical Education Program (TEP) endorsed and supported by IEEE-RAS*. ** *The school aims at bridging the gap between social and cognitive Human-Robot Interaction (HRI), Artificial Intelligence (AI), and Autonomous Vehicles (AV) through high-level talks and hands-on workshops (the program will be announced soon).* *II. Keynote Speakers (More Speakers in HRI, AI, and Autonomous Vehicles will join the list soon): * 1. * Jun Tani *– Okinawa Institute of Science and Technology (OIST), Japan 2. *Daniele Magazzeni *– King's College London, UK 3. * Yukie Nagai *– National Institute of Information and Communications Technology (NICT), Japan 4. * Tetsuya Ogata* – Waseda University, Japan 5. *Maya Cakmak *– University of Washington, USA 6. *Mohamed Chetouani *– University of Pierre and Marie Curie (UPMC), France 7. *Agnieszka Wykowska *– Italian Institute of Technology (IIT), Italy 8. *Tetsunari Inamura *– National Institute of Informatics (NII), Japan 9. *Amit Kumar Pandey *– SoftBank (Aldebaran) Robotics, France 10. *Francesco Maurelli *– Jacobs University, Germany (*A special talk about preparing funding proposals*) *III. Submission * The applications must include the following files (combined into one file). No other documents would be necessary (More information is available on the school's webpage). 1. *Curriculum vitae*: A two pages or less of CV detailing relevant aspects of the candidate's academic career that demonstrates her/his relevance to the school theme. 2. *Research abstract*: A 200 word research abstract that the candidate intends to present during the school. 3. *Letter of recommendation*: A short letter from the academic advisor or the employer of the candidate supporting her/his application. *Application submission*: Please use the following EasyChair web link:* Application Submission <https://easychair.org/account/signin.cgi?timeout=1;key=79456763.59XbW247MFR…>.* *IV. Important Dates * 1. Application submission: *20-December, 2018 * 2. Notification of acceptance: *28-December, 2018 * 3. Spring School: *17-24 March, 2019* *V. Organizers * 1. *Amir Aly *– Ritsumeikan University – Japan 2. *Franziska Kirstein *– Blue Ocean Robotics, Denmark 3. * Shashank Pathak *– Visteon Corporation, Germany --------------------- *Amir Aly, Ph.D.* Senior Researcher Emergent Systems Laboratory College of Information Science and Engineering Ritsumeikan University 1-1-1 Noji Higashi, Kusatsu, Shiga 525-8577 Japan

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Workshop application deadline extended: "Neuronal circuits in motor behavior" - OIST, Okinawa
by Marylka Yoe Uusisaari Oct. 24, 2018

Oct. 24, 2018

Dear all, It is our pleasure to announce the workshop "Neuronal Circuits in Motor Behavior" (NCMB) that will take place at OIST, Okinawa, February 18 - 20th, 2019. Among the numerous functions performed by the brain, creating precise, efficient movements is the most fundamental one without which no behavior could be expressed. The importance of motor control is accentuated by the fact that multiple distinct brain systems are involved in it, and thus understanding the neuronal codes leading to the skilled animal or human movements critically depends on researching the systems in a synergistic manner. The workshop brings together established scientists and rising leaders from computational, systemic neuroscience and behavioural fields, to explore and portray the various aspects and constraints of animal movement and the neuronal circuits underlying their execution. The three days will comprise of talks, poster presentations as well as more free-form discussion sessions aiming to foster collaboration. We encourage applications from students, post docs and faculty across any related fields, and *will cover travel and accommodation *for 30 accepted attendees, based on the background and motivation statements. More information, including application webform, can be found at https://groups.oist.jp/ncmb. *Note:* application deadline has been extended to November 15th, 2019. Best wishes, Marylka Yoe Uusisaari & NCMB organizers

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Faculty position in neuroscience
by Keller, Asaf Oct. 23, 2018

Oct. 23, 2018

The Department of Anatomy and Neurobiology<http://neurobiology.umaryland.edu/> is recruiting tenured/tenure-track faculty, at all ranks. We are interested in candidates with quantitative skills whose research complements existing strengths in the Department. Although we will consider all relevant research areas, we are particularly interested in research focusing on pain, neural circuits of motivated behaviors & addiction, sensory perception or neurodegeneration. Rank and tenure status is dependent on candidate’s qualifications. Candidates should have a strong record of scholarly activity. Highest priority will be given to candidates with an independent, funded research program. We offer an outstanding intellectual and collaborative environment with highly competitive salary and recruitment packages. All department faculty are members of the Graduate Program in Life Sciences<http://lifesciences.umaryland.edu/> interdisciplinary Program in Neuroscience<http://lifesciences.umaryland.edu/neuroscience>. Candidates should submit, as a single PDF to ANfacsearch(a)som.umaryland.edu<mailto:ANfacsearch@som.umaryland.edu>: curriculum vitae, brief statement of research interests and vision, and contact information for three references. Candidates should submit their application to the attention of Asaf Keller, Chairs of Faculty Search Committee.

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workshop “Cortical models for visual perception and imaging applications” at the Institut de mathématiques de Jussieu - Paris Rive Gauche (IMJ-PRG)
by Benedetta Franceschiello Oct. 23, 2018

Oct. 23, 2018

Dear all, It is our pleasure to invite you to attend the workshop “Cortical models for visual perception and imaging applications” (https://liftme.sciencesconf.org/) that we are organising at the Institut de mathématiques de Jussieu - Paris Rive Gauche (IMJ-PRG)(room 15-16-413) on November 22nd, in partnership with the workshop “Géométrie et représentation de la couleur” (link: http://www.gdr-isis.fr/index.php?page=reunion&idreunion=359) organised on November 21st by Edoardo Provenzi. The aim of the workshop is to gather people working in the field of mathematical and neurophysiological modelling of human brain, from a theoretical and applied point of view, with particular emphasis on imaging methods based on visual perception. An updated schedule will be provided at this page: https://liftme.sciencesconf.org/program The registration is free, but mandatory for organisation purposes, *by November 16*. To register you should log-in to the website with your HAL credentials (on the top right corner of the page https://liftme.sciencesconf.org/) If you encounter any problem in the registration process, please send an e-mail to liftme(a)sciencesconf.org Best wishes, The organisers Luca Calatroni, Valentina Franceschi, Benedetta Franceschiello, Dario Prandi, Mario Sigalotti

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Computational Neuroscience Software Developer / Research Associate Position
by Stephanie Jones Oct. 22, 2018

Oct. 22, 2018

Conducting interviews at SFN for a Brown University Computational Neuroscience Position Applications are invited for a research software developer / research associate position in the lab of Dr. Stephanie Jones at Brown University in Providence, RI. The level of the hire depends on experience. Our group combines human electrophysiological recordings and computational neural modeling techniques to study the mechanisms and meaning of brain dynamics in health and disease. We collaborate extensively with animal electrophysiologists and clinicians to develop data constrained models that are translationally relevant. The software developer / research associate will work with a team of researchers at Brown, Mass General Hospital, and Yale, to help develop a new software tool for circuit level investigation of human magneto- and electro-encephalography (MEG/EEG) signals: Human Neocortical Neurosolver, HNN (https://hnn.brown.edu) <https://hnn.brown.edu)>. The goal of this software is to provide the community with a user friendly tool to develop and test hypotheses on the circuit origin of their data. The hired candidate will help support and expand HNN’s capabilities, including software development and working with researchers to apply HNN to specific neuroscience questions. Duties will also include development of tutorials, online resources, and participation in workshops aimed at training the community in the use and applicability of HNN. Candidates should have a Bachelor’s, Master’s, or PhD in computer science, neuroscience, biomedical engineering, and/or related field. Strong Python programming skills are required, and experience with neural modeling, particularly NEURON, is preferred. Familiarity with MEG/EEG analysis methods and/or non-invasive brain stimulation is also beneficial. Candidates should be able to work in a dynamic, interdisciplinary, and fun work environment. Interested candidates should send a cv and a brief description of qualifications and research interests to the Jones lab manager Dylan_S_Daniels(a)brown.edu <mailto:Dylan_S_Daniels@brown.edu>. ******************************************* Stephanie R. Jones, PhD Associate Professor Brown University Department of Neuroscience Stephanie_Jones(a)Brown.edu https://blogs.brown.edu/joneslab/ <https://blogs.brown.edu/joneslab/> Human Neocortical Neurosolver https://hnn.brown.edu <https://hnn.brown.edu/>

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Postdoctoral researchers - computational modeling, EEG, TMS
by Stephanie Jones Oct. 22, 2018

Oct. 22, 2018

Conducting interviews at SFN for a Brown University Human Imaging & Computational Neuroscience Position Applications are invited for a postdoctoral position in the lab of Dr. Stephanie Jones at Brown University. Our group combines human electrophysiological recordings and computational neural modeling techniques to study the mechanisms and meaning of brain dynamics in health in disease. We collaborate extensively with animal electrophysiologists and clinicians to develop data constrained models that are translationally relevant. We are expanding our research efforts to including non-invasive brain stimulation. A postdoctoral position is available to integrate simultaneous human EEG and transcranial magnetic stimulation (TMS) in humans, with computational neural modeling developments. The postdoctoral researcher will help expand our new software tool Human Neocortical Neurosolver (https://hnn.brown.edu) <https://hnn.brown.edu)> for circuit level interpretation of EEG/MEG signals to include TMS studies. She/he will also help with the design, implementation and analysis of our TMS/EEG experiments. Candidates should have a PhD in neuroscience, computational neuroscience, computer science, applied mathematics, biomedical engineering, and/or related field. Strong quantitative and programming skills are required. The ideal candidate would have experience in computational neuroscience methods applied to human EEG and brain stimulation data. However, experience in all areas is not required. Candidates should be able to work in a dynamic, interdisciplinary and fun work environment. Interested candidates should send a cv and a brief description of qualifications and research interests to the Jones lab manager Dylan_S_Daniels(a)brown.edu <mailto:Dylan_S_Daniels@brown.edu>. ******************************************* Stephanie R. Jones, PhD Associate Professor Brown University Department of Neuroscience Stephanie_Jones(a)Brown.edu https://blogs.brown.edu/joneslab/ <https://blogs.brown.edu/joneslab/> Human Neocortical Neurosolver https://hnn.brown.edu <https://hnn.brown.edu/>

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Postdoc at Harvard in computational neuroscience
by Blum, Kenneth I. Oct. 22, 2018

Oct. 22, 2018

The Swartz Program at Harvard University has an opening for a postdoctoral fellow in theoretical and computational neuroscience. Based on a grant from the Swartz Foundation<https://urldefense.proofpoint.com/v2/url?u=http-3A__www.theswartzfoundation…>, Harvard University established the Swartz Program in Theoretical Neuroscience. The Swartz Program supports a program in computational neuroscience, to foster research collaborations between theorists and experimentalists. Fellowships last for two years, and cover a stipend and support for travel to the annual Swartz meeting on computational neuroscience. Postdocs join a vibrant group of experimental and theoretical neuroscientists at Harvard's Center for Brain Science. Harvard's Swartz Program is led by its Director, Haim Sompolinsky. The Center for Brain Science includes junior and senior faculty doing research on a wide variety of topics, including neural mechanisms of rodent learning, decision-making, and sex-specific and social behaviors; human motor control; behavioral and fMRI studies of human cognition; circuit mechanisms of learning and behavior in worms, larval flies, and larval zebrafish; circuit mechanisms of individual differences in flies and humans; rodent and fly olfaction; inhibitory circuit development; retinal circuits; and large-scale reconstruction of detailed brain circuitry. Interested applicants should send a CV, statement of research interests, and arrange for three letters of reference to be sent to Haim Sompolinsky (haim(a)fiz.huji.ac.il<mailto:haim@fiz.huji.ac.il>), Kenneth Blum (kenneth_blum(a)harvard.edu<mailto:kenneth_blum@harvard.edu>), or our newest faculty member, Cengiz Pehlevan (cpehlevan(a)seas.harvard.edu<mailto:cpehlevan@seas.harvard.edu>; https://pehlevan.seas.harvard.edu/) Applications should have “Swartz Fellowship” in the subject line. Harvard University is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, gender identity, sexual orientation, pregnancy and pregnancy-related conditions, or any other characteristic protected by law.

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Postdoctoral position in machine learning, event-based computer vision and spiking neural networks
by sio Oct. 22, 2018

Oct. 22, 2018

The Vision and Natural Computation group from the Vision Institute, Paris, France, (http://www.institut-vision.org/en/) seeks experienced and outstanding applicants for a post-doctoral researcher in the fields of machine learning, event-based computer vision and spiking neural networks. The position is funded by the European Commission in the context of the European project ULPEC. The applicant will join the Vision and Natural Computation group, led by Pr R. Benosman. The team is the leading group in neuromorphic event based computation and active member of the international neuromorphic engineering community. It develops biology-inspired sensing and event-based technologies. The selected candidat will be working on designing the architecture and topology of spiking neural networks for pattern learning and recognition tasks, using the spike-based visual information provided by a neuromorphic camera. Spiking Timing Dependent Plasticity and Reservoir Computing based models will be in particular implemented, taking into account of their hardware feasibility (according to the performance and characteristics of ferroelectric memristors). The position will open in January 2019. Interested applicants should submit a detailed curriculum vitae with brief paragraphs of research interests, career goals and why you feel you are a good fit for the lab to " ryad.benosman at upmc.fr " and " sio-hoi.ieng at upmc.fr ". Please do also mention in the email earliest date at which you can join. S.H. ieng, PhD Vision and natural computation group, Vision institute. University Paris Sorbonnes,

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PhD opportunities at the MCEN group at the Basque Center of Applied Mathematics (Bilbao, Spain)
by Maurizio De Pitta Oct. 22, 2018

Oct. 22, 2018

Please share with your colleagues and anyone who could be interested. The Group of Mathematical, Computational and Experimental Neuroscience (MCEN; http://www.bcamath.org/en/research/lines/MCEN/description) at the Basque Center of Applied Mathematics (BCAM; http://www.bcamath.org/en/) in Bilbao (Spain) is seeking outstanding PhD students to work on several projects at the intersection of computational neuroscience, mathematical topology, biophysics and translational science. PhD projects currently available include (but are not limited to) : (Track A) 1. Control and tracking stability boundaries of neurons in real time via closed-loop computer- controlled electrophysiology. This will lead to intelligent machine brain interfaces, such as deep brain stimulators that can determine unstable states that lead to pathological oscillations (like in epilepsy); 2. Multiscale modeling of the biomolecular machinery that controls the various modes of neurotransmitter release for efficient synaptic communication. This includes feedback processes, such as the endocannabinoid system, that control the speed and frequency by which synaptic neurotransmitters are released. This critical process is thought to control pathological brain states; (Track B) 3. Mathematical modeling and development of analytical tools to study neuron-glial interactions (NGIs), from subcellular to network levels. Focus is both on mechanisms of learning at synaptic level and how NGIs could shape dynamics of cortical circuits in the healthy and diseased brain (More info: https://goo.gl/pJXEYJ) 4. Study of early cellular pathological markers for Alzheimer’s disease, with emphasis on neuron-glial interactions. The project is part of a strategic collaboration between BCAM/MCEN and Achucarro – the Basque Center for Neuroscience – and envisages a close collaboration with Dr. Carlos Matute’s group to test predictions from theoretical models in mouse models of Alzheimer’s disease (see also: https://goo.gl/Uifv2J) A fully-funded PhD scholarship of 4+1 years may be offered on competitive basis for ANY of the above projects (deadline : **Oct 29th, 2018**; 15:00 CET ; Info/Application : https://goo.gl/7CzNQr) A fully-funded PhD scholarship of 3 years is currently available for Project 4 ONLY (deadline : **Nov 6th, 2018**; 14:00 CET ; Info : https://goo.gl/Uifv2J; Application website : https://goo.gl/z72RzC) Candidates that are interested in any of the above topics, or would like to pursue a PhD in mathematical neuroscience are welcome to contact Drs. Serafim Rodrigues (Track A ; Webpage : https://goo.gl/tP9PBt; contact : srodrigues(a)bcamath.org) and Maurizio De Pittà (Track B ; Webpage : https://goo.gl/pJXEYJ; contact: mdepitta(a)bcamath.org) ----- Maurizio De Pitta' Research Fellow MCEN -- Group of Mathematical, Computational and Experimental Neuroscience BCAM -- Basque Center of Applied Mathematics https://sites.google.com/site/mauriziodepitta/home

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PhD Studentship at the University of Exeter: Building a model of the HypothalamicPituitary-Gonadal (HPG) axis
by Tsaneva-Atanasova, Krasimira Oct. 22, 2018

Oct. 22, 2018

Building a model of the HypothalamicPituitary-Gonadal (HPG) axis, BBSRC SWBio, PhD in Mathematics studentship (Funded) Ref: 3285 About the award Supervisors Lead Supervisor Professor Krasimira Tsaneva-Atanasov<http://emps.exeter.ac.uk/mathematics/staff/kt298>a, Department of Mathematics, College of Engineering, Mathematics and Physical Sciences, University of Exeter Additional Supervisors Professor Craig McArdle<http://www.bristol.ac.uk/clinical-sciences/people/craig-a-mcardle/index.html>, University of Bristol Dr Margaritis Voliotis<http://emps.exeter.ac.uk/mathematics/staff/mv286>, University of Exeter Location: University of Exeter, Streatham Campus, Exeter EX4 4QJ The SWBio DTP<http://www.bris.ac.uk/swbio/> is one of the 12 Doctoral Training Partnerships funded by the BBSRC to provide PhD training in areas of their strategic relevance. The SWBio DTP is a consortium comprising the Universities of Bristol (lead), Bath, Cardiff, Exeter, and Rothamsted Research. Together, these institutions present a distinctive cadre of bioscience research staff and students with established international, national and regional networks and widely recognised research excellence. The award: There are over 30 (including up to 5 CASE studentships) fully-funded 4 year studentships* available to start in September 2019 across a wide range of biosicence academic disciplines. This project is one of a number that are in competition for funding from the South West Biosciences Doctoral Training Partnership (SWBio DTP)<http://www.bristol.ac.uk/swbio/>. Up to 6 fully-funded studentships are being offered to start in September 2019 at the University of Exeter. Project Description: Gonadotropin-releasing hormone (GnRH) is secreted from hypothalamic neurones to control secretion of the gonadotropin hormones LH and FSH form the anterior pituitary, and thereby mediates central control of reproduction. It secretes in pulses and its effects are dependent on pulse characteristics (particularly pulse frequency). One of the most important recent discoveries in the field of reproduction is that of the KNDy system. This is a peptidergic neuronal oscillator that drives pulsatile GnRH secretion. It also mediates feedback effects of gonadal steroid hormones that are essential for key reproductive processes such as the timing of puberty and seasonal breeding (i.e. in farm animals) and the fine-tuning of gonadotropin secretion across the ovarian cycle. All of these components (hypothalamic pulse generator/pituitary pulse decoder/gonads) are absolutely essential for human reproduction so it is perhaps not surprising that all three are sites for therapeutic intervention, just as perturbation of any of them can cause infertility in disease states. We are convinced that mathematical and statistical approaches are required to fully understand such a complex system. To this end we have already generated a sophisticated mathematical model of the neuronal oscillator that we have trained on wetlab. data and are now using to explore possible mechanisms for modulation by gonadal steroids. Similarly, we have developed a mathematical model for the decoding of pulse dynamics by pituitary gonadotropes and have used this to explore cell-cell variability in responses to GnRH and its impact on information transfer. We now plan to take a similar approach to modelling effects of gonadotropin hormones on gonadal function, where we will have to introduce population dynamics as an additional feature (i.e. growth of granulosa cells before ovulation and formation of luteal cells thereafter). We then plan to simplify these sub-system models so that the components can be assembled into a meaningful model of the entire hypothalamo-pituitary-gonadal system. In this project the student will learn: • Mathematical modelling of the hypothalamic pulse generator, the pituitary pulse decoder and the effects of LH and FSH on gonadal cells. • Numerical optimisation by performing parameter fitting and sensitivity analysis using combination of available experimental data sets to parametrise and validate model components. • Simplification of the sub-system models (as informed by sensitivity analysis) and again, training on system wet-lab data. • Computational methods that allow the generation of testable model predictions regarding the reproductive system and its components across the lifespan. Eligibility To be eligible for a fully-funded studentship, you must meet both the academic and residence criteria. For UK/EU nationals who meet the residency requirements outlined by the BBSRC, the studentship will cover funding for 4 years (48 months) as follows. These awards might be available to part-time students, but only in exceptional circumstances. It is recommended you speak to the lead supervisor prior to submitting an application. • a stipend at the standard Research Council UK rate; currently £14,777 per annum for 2018-2019 • research and training costs • tuition fees (at the standard Research Councils UK rate) • additional funds to support fieldwork, conferences and a 3-month internship Please refer to the regulations<http://www.legislation.gov.uk/uksi/2007/779/pdfs/uksi_20070779_en.pdf> or Annex 1 of the Research Council Training Grant Guide<https://www.ukri.org/files/legacy/publications/rcuk-training-grant-guide-pd…> to confirm that you meet the residence criteria for a fully-funded studentship. Any further queries in relation to residency must be directed to the institution that you are applying to. Entry requirements Applicants should have obtained, or be about to obtain, a First or Upper Second Class UK Honours degree, or the equivalent qualifications gained outside the UK, in an appropriate area of science or technology. Applicants with a Lower Second Class degree will be considered if they also have Masters degree or have significant relevant non-academic experience. In addition, due to the strong mathematical component of the taught course in the first year and the quantitative emphasis in our projects, a minimum of a grade B in A-level Maths or an equivalent qualification or experience is required. If English is not your first language you will need to have achieved at least 6.5 in IELTS and no less than 6.5 in any section by the start of the project. Alternative tests may be acceptable, please see http://www.bristol.ac.uk/study/language-requirements/profile-c/. Students from EU countries who do not meet the residency requirements may still be eligible for a fees-only award but no stipend. Applicants who are classed as International for tuition fee purposes are not eligible for funding. Please refer to the regulations<http://www.legislation.gov.uk/uksi/2007/779/pdfs/uksi_20070779_en.pdf> or Annex 1 of the Research Council Training Grant Guide<https://www.ukri.org/files/legacy/publications/rcuk-training-grant-guide-pd…> to confirm that you meet the residence criteria for a fully-funded studentship. The four universities have a very limited number of fully-funded 4 year studentships that EU nationals who do not meet the residency requirements would be eligible for. Please contact us for for more information. How to apply Apply now Please be aware you will be asked to upload the following documents: * CV * Letter of application outlining your academic interests, prior research experience and reasons for wishing to undertake the project. Please indicate your preferred project choice if applying for multiple BBSRC SWBio DTP projects. * Transcript(s) giving full details of subjects studied and grades/marks obtained. This should be an interim transcript if you are still studying. * Two academic referees - see information below about references. * If you are not a national of a majority English-speaking country you will need to submit evidence of your proficiency in English (see entry requirements above) The closing date for applications is midnight on Monday, 3 December 2018. Interviews will be held at the University of Exeter on 7 and 8 of February 2019. Reference information You will be asked to name 2 referees as part of the application process, however we will not expect receipt of references until the shortlisting stage. Your referees should not be from the prospective supervisory team. If you are shortlisted for interview, please ensure that you two academic referees email their references to the pgrenquiries(a)exeter.ac.uk<mailto:pgrenquiries@exeter.ac.uk>, 7 days prior to the interview dates. Please note that we will not be contacting referees to request references, you must arrange for them to be submitted to us by the deadline. References should be submitted by your referees to us directly in the form of a letter. Referees must email their references to us from their institutional email accounts. We cannot accept references from personal/private email accounts, unless it is a scanned document on institutional headed paper and signed by the referee. If you have any general enquiries about the application process please email pgrenquiries(a)exeter.ac.uk<mailto:pgrenquiries@exeter.ac.uk>. Project-specific queries should be directed to the primary supervisor. Selection process: Please note, the studentship selection process will take place in two stages: 1. The project supervisors will consider your application and may invite you to visit for an informal interview. You can apply for more than one BBSRC SWBio DTP project, although supervisors may take into account your interest and commitment to their particular project. If you apply for multiple projects, please indicate your preferred project choice in your letter of application. Each application for an individual project will be considered separately by the project supervisors. 2. After closure of applications, each supervisory team will then nominate their preferred applicant. A shortlist will be selected from these nominations and shortlisted applicants will be invited for interview on a selection day at the University of Bristol. Please note that nomination by a project supervisor therefore does not guarantee the award of a studentship. Data Protection During the application process, the University may need to make certain disclosures of your personal data to third parties to be able to administer your application, carry out interviews and select candidates. These are not limited to, but may include disclosures to: * the selection panel and/or management board or equivalent of the relevant programme, which is likely to include staff from one or more other HEIs; * administrative staff at one or more other HEIs participating in the relevant programme. Such disclosures will always be kept to the minimum amount of personal data required for the specific purpose. Your sensitive personal data (relating to disability and race/ethnicity) will not be disclosed without your explicit consent. Summary Application deadline: 3rd December 2018 Value: Tuition fees and an annual stipend allowance at Research Council rates, currently £14,777 per year for 2018-19 Duration of award: per year Contact: PGR Recruitment Office pgrenquiries(a)exeter.ac.uk<mailto:pgrenquiries@exeter.ac.uk>

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Open Master, PhD and Postdoc positions at the "Theory of Neural Dynamics" at the MPI for Brain Research
by Tatjana Tchumatchenko Oct. 20, 2018

Oct. 20, 2018

Dear friends and colleagues, I would appreciate if you could spread the word among your Students and Postdocs. My group "Theory of Neural Dynamics" at the MPI for Brain Research is looking for Master Students, PhD Students and Postdocs Master Students, PhD Students or Postdocs interested in understanding how neuronal networks work, how they respond to stimuli and what role connectivity and single neuron dynamics play for the activity of the brain. Though the focus of my research is on the theory side, my lab has close ties to experimentally oriented labs and Master projects could include both theory and experiments. We are looking for bright and hard-working students with a life-science or quantitative background (physics, math, biology etc). When applying please attach CV (with a publication record) and a current copy of academic transcripts. For more information, please contact Dr. Tatjana Tchumatchenko via email tatjana.tchumatchenko(a)brain.mpg.de https://brain.mpg.de/research/theory-of-neural-dynamics-group.html www.tchumatchenko.de

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Tenure Track Job at Emory University in Neural Circuit Mechanisms of Behavior
by Jaeger, Dieter Oct. 19, 2018

Oct. 19, 2018

The Department of Biology in the Emory College of Arts and Science in Atlanta, GA, USA, is seeking applications for a tenure-track faculty position at the assistant or associate professor level in experimental and computational neuroscience. A strong computational neuroscience group at Emory is anchored in the Department of Biology (http://www.biology.emory.edu) and is grounded in experimental preparations and neurobiological questions about the mechanisms underlying behavior and learning. We anticipate a hire focused on innovative approaches to understanding the function of brain circuits in a behavioral context. Such approaches may include optogenetics, cellular imaging, high-density electrophysiology, network simulations, or other cutting-edge neuroscientific methods. The ability to link theory and data analysis to experimental design in order to develop more predictive models of neural activity and behavior is critical. The successful candidate is anticipated to have a PhD in a relevant science or engineering field and postdoctoral experience in neuroscience-related research, and is expected to contribute to the Biology Department's teaching mission in the context of programs in quantitative theory and methods (http://quantitative.emory.edu) and neuroscience and behavioral biology (http://www.nbb.emory.edu) Interactions with experimentalists and theorists within Emory's rich, collaborative neuroscience community are encouraged. Emory has more than 100 laboratories participating in graduate programs in Neuroscience (http://biomed.emory.edu/PROGRAM_SITES/NS/) and Biomedical Engineering (http://www.bme.emory.edu) and spanning Emory College (Biology, Psychology, Physics, Anthropology), School of Medicine, Yerkes National Primate Research Center and Georgia Institute of Technology. Emory College's Theory and Modeling of Living Systems initiative (http://livingtheory.emory.edu/) provides a broader community for interaction with theorists in the life science. Applications should include a cover letter, curriculum vitae, a research statement, a teaching statement and three reference letters. In a separate statement or in the cover letter, we also ask candidates to reflect on their efforts in mentoring and teaching students from diverse backgrounds. Applications and reference letters must be electronically uploaded through Interfolio at http://apply.interfolio.com/53691. Review of applications will begin Dec. 1, 2018. Applications received up to 30 days after, or until the positions are filled, will be given consideration. Emory University is an equal employment opportunity and affirmative action employer. Women, minorities, people with disabilities and veterans are strongly encouraged to apply. Also - one or more members of the search committee will be available for brief (10-minute) informational meetings with potential candidates during the SfN conference in San Diego in November. Please contact Sam Sober at ssober(a)emory.edu<mailto:ssober@emory.edu>. Potential candidates do not need to have submitted an application to have one of these meetings, which are intended to help applicants learn about the position, department, and neuro community at Emory. Dieter Jaeger, PhD Professor Department of Biology, Emory University 1510 Clifton Rd., Atlanta, GA 30322 404 727 8139, e-mail: djaeger(a)emory.edu<mailto:djaeger@emory.edu> http://www.biology.emory.edu/research/Jaeger ________________________________ This e-mail message (including any attachments) is for the sole use of the intended recipient(s) and may contain confidential and privileged information. If the reader of this message is not the intended recipient, you are hereby notified that any dissemination, distribution or copying of this message (including any attachments) is strictly prohibited. If you have received this message in error, please contact the sender by reply e-mail message and destroy all copies of the original message (including attachments).

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PhD fellowships in computational neuroscience at the FMI in Basel, Switzerland
by Friedemann Zenke Oct. 19, 2018

Oct. 19, 2018

The FMI PhD program now welcomes applications in computational neuroscience. Submission deadline is the 16th of November 2018. The FMI PhD program offers students the opportunity to carry out cutting-edge research in a stimulating, highly international and collaborative atmosphere. Affiliated with the Novartis Institutes for BioMedical Research and the University of Basel in Switzerland, the FMI provides interdisciplinary training and access to state-of-the-art technology platforms and high-performance computing facilities. Several research groups at the FMI offer exciting PhD projects for students with a computational background. PhD students whose primary interest is in computational neuroscience, will be able to join a new group led by Friedemann Zenke which focuses on memory formation and information processing in biologically inspired neural network models. Students will have the opportunity to directly collaborate with experimental groups in system neuroscience at the FMI (https://www.fmi.ch/Research/Neurobiology/) A wide range of theoretical and practical courses are available at both the FMI and the University of Basel. After completion of their thesis work, students are awarded a PhD from the University of Basel. Candidates should be curious about the neural underpinnings of computation and learning, have a strong analytical and quantitative background, and hold a relevant first degree in, for instance, computer science, engineering, mathematics, neuroscience, physics, psychology, or statistics. Funding is available regardless of current residence and nationality. Applications should be submitted online via https://www.fmi.ch/training/phd/apply/ Additional information PhD program: https://www.fmi.ch/training/PhD/ Zenke group (from 2019): https://www.fmi.ch/research/groupleader/zenke.html Neurobiology groups: https://www.fmi.ch/Research/Neurobiology/ For questions, please contact Elida Keller (fmiphdprogram(a)fmi.ch) -- Friedemann Zenke, PhD Sir Henry Wellcome Fellow Centre for Neural Circuits and Behaviour University of Oxford Tinsley Building Mansfield Road Oxford OX1 3SR United Kingdom https://fzenke.net

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

Oct. 18, 2018

CALL FOR PAPERS FLAIRS 2017, Florida Artificial Intelligence Research Symposium Special Tracks on Data mining and Special Track on Cyber Security Marco Island, Florida http://www.flairs-30.info/ Paper submission deadline: November 21, 2016. Notifications: January 23, 2017. Camera ready version due: February 27, 2017. FLAIRS is an interdisciplinary artificial intelligence conference which especially encourages novel ideas and which features a double-blind review process. Data Mining Track This special track will be devoted to data mining with the aim of presenting new and important contributions in this area. Papers and contributions are encouraged for any work related to Data Mining. Topics of interest may include (but are in no way limited to): 1. Applications such as Intelligence analysis, medical and health applications, text, video, and multi-media mining, E-commerce and web data, financial data analysis, cyber security, remote sensing, earth sciences, bioinformatics, and astronomy. 2. Modeling algorithms such as hidden Markov models, decision trees, neural networks, statistical methods, or probabilistic methods; case studies in areas of application, or over different algorithms and approaches. 3. Feature extraction and selection. 4. Post-processing techniques such as visualization, summarization, or trending. 5. Preprocessing and data reduction. 6. Knowledge engineering or warehousing. Papers dealing with Cloud-based unstructured data or Cloud-based tool suites, such as Mahout or Apache Spark, are also encouraged. Cyber-Security Track Original high quality papers are sought for leading edge research and applications relating to the application of AI and Cyber Security. Topics of interest may include but are not limited to: · Machine Learning for Intrusion Detection Systems · NLP for text analysis in Cyber Security · Video and CCTV semantic analysis for terrorist or criminal action detection · AI & Biometrics, Internet of Things, and Cloud Computing security · AI & SCADA systems, Network Systems, and Embedded Systems security · Formal and theoretical approaches of intelligent security in WSNs · Legal and policy issues in intelligent security · Integrity, privacy, authentication and access control · Intelligent secure systems in multimedia databases · Social networks security · Intelligent incident response techniques in network and communication systems · Risk analysis and intelligent management · Virtual Private Networks intelligent security · Automated reasoning techniques of incidents and evidence analysis · Evidentiary aspects of digital forensics · Collaborative intelligent investigation · Intelligent systems in management, storage and reassembly · Steganography, watermarking, and forensic techniques in multimedia content processing · Lightweight security techniques · Intelligent Large-scale investigations and Big Data · Innovative non-repudiation techniques · Intelligent vulnerability analysis and assessment · Attacks tracking · Data hiding, tamper detection and recovery techniques · Security of e- healthcare systems and applications Note: We invite original papers (i.e. work not previously submitted, in submission, or to be submitted to another conference during the reviewing process). Submission Guidelines Interested authors should format their papers according to AAAI formatting guidelines. The papers should be original work (i.e., not submitted, in submission, or submitted to another conference while in review). Papers should not exceed 6 pages (or 4 pages for short paper, to be presented as a poster) and are due by November 21, 2016. For FLAIRS-30, the 2017 conference, the reviewing is a double blind process. Author names and affiliations should be Xd out on submitted papers to provide double-blind reviewing. Papers must be submitted as PDF through the EasyChair conference system, which can be accessed through the main conference web site (http://www.flairs-30.info/) Note: do not use a fake name for your EasyChair login - your EasyChair account information is hidden from reviewers. Authors should indicate which special track they are submitting to. The proceedings of FLAIRS will be published by the AAAI. Authors of accepted papers will be required to sign a form transferring copyright of their contribution to AAAI. FLAIRS requires that there be at least one full author registration per paper.

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CFP: TAC | Special Issue on Automated Perception of Human Affect from Longitudinal Behavioral Data
by Pablo Barros Oct. 18, 2018

Oct. 18, 2018

CALL FOR PAPERS IEEE Transactions on Affective Computing Special Issue on Automated Perception of Human Affect from Longitudinal Behavioral Data Website: https://www2.informatik.uni-hamburg.de/wtm/omgchallenges/tacSpecialIssue201… I. Aim and Scope Research trends within artificial intelligence and cognitive sciences are still heavily based on computational models that attempt to imitate human perception in various behavior categorization tasks. However, most of the research in the field focuses on instantaneous categorization and interpretation of human affect, such as the inference of six basic emotions from face images, and/or affective dimensions (valence-arousal), stress and engagement from multi-modal (e.g., video, audio, and autonomic physiology) data. This diverges from the developmental aspect of emotional behavior perception and learning, where human behavior and expressions of affect evolve and change over time. Moreover, these changes are present not only in the temporal domain but also within different populations and more importantly, within each individual. This calls for a new perspective when designing computational models for analysis and interpretation of human affective behaviors: the computational models that can timely and efficiently adapt to different contexts and individuals over time, and also incorporate existing neurophysiological and psychological findings (prior knowledge). Thus, the long-term goal is to create life-long personalized learning and inference systems for analysis and perception of human affective behaviors. Such systems would benefit from long-term contextual information (including demographic and social aspects) as well as individual characteristics. This, in turn, would allow building intelligent agents (such as mobile and robot technologies) capable of adapting their behavior in a continuous and on-line manner to the target contexts and individuals. This special issue aims at contributions from computational neuroscience and psychology, artificial intelligence, machine learning, and affective computing, challenging and expanding current research on interpretation and estimation of human affective behavior from longitudinal behavioral data, i.e., single or multiple modalities captured over extended periods of time allowing efficient profiling of target behaviors and their inference in terms of affect and other socio-cognitive dimensions. We invite contributions focusing on both the theoretical and modeling perspective, as well as applications ranging from human-human, human-computer and human-robot interactions. II. Potential Topics Given computational models, the capability to perceive and understand emotion behavior is an important and popular research topic. That is why recent special issues on the IEEE Journal on Transactions on Affective Computing covered topics from emotion behavior analysis “in-the-wild” to personality analysis. However, most of the research published by these specific calls treat emotion behavior as an instantaneous event, relating mostly to emotion recognition, and thus neglect the development of complex emotion behavior models. Our special issue will foster the development of the field by focusing excellent research on emotion models for long-term behavior analysis. The topics of interest for this special issue include, but are not limited to: - New theories and findings on continuous emotion recognition - Multi- and Cross-modal emotion perception and interpretation - Lifelong affect analysis, perception, and interpretation - Novel neural network models for affective processing - New neuroscientific and psychological findings on continuous emotion representation - Embodied artificial agents for empathy and emotion appraisal - Machine learning for affect-driven interventions - Socially intelligent human-robot interaction - Personalized systems for human affect recognition III. Submission Prospective authors are invited to submit their manuscripts electronically, adhering to the IEEE Transactions on Affective Computing guidelines ( https://ieeexplore.ieee.org/xpl/RecentIssue.jsp?punumber=5165369) Please submit your papers through the online system ( https://mc.manuscriptcentral.com/taffc-cs) and be sure to select the special issue: Special Issue/Section on Automated Perception of Human Affect from Longitudinal Behavioral Data. IV. IMPORTANT DATES: Submissions Deadline: 15th of January 2019 Deadline for reviews and response to authors: 06th of April 2019 Camera-ready deadline: 05th of August 2019 V. Guest Editors Pablo Barros, University of Hamburg, Germany Stefan Wermter, University of Hamburg, Germany Ognjen (Oggi) Rudovic, Massachusetts Institute of Technology, United States of America Hatice Gunes, University of Cambridge, United Kingdom -------------------------- -- Dr. Pablo Barros Postdoctoral Research Associate - Crossmodal Learning Project (CML) Knowledge Technology Department of Informatics University of Hamburg Vogt-Koelln-Str. 30 22527 Hamburg, Germany Phone: +49 40 42883 2535 Fax: +49 40 42883 2515 barros at informatik.uni-hamburg.dehttp://www.pablobarros.nethttps://www.inf.uni-hamburg.de/en/inst/ab/wtm/people/barros.htmlhttps://www.inf.uni-hamburg.de/en/inst/ab/wtm/

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NEURON course at SFN 2018 meeting
by Ted Carnevale Oct. 16, 2018

Oct. 16, 2018

A few seats remain open for the NEURON course that we will be presenting at the SFN 2018 meeting in San Diego. However, the registration deadline is Friday, October 19--just three days from today, so you'll have to act quickly if you are interested in learning things like * why you should be using NEURON to model biological neurons and neural circuits * how to get started building models with NEURON's GUI and/or Python * advanced tips for getting the most out of using Python as NEURON's interpreter, and using NEURON's GUI for interactive modeling and debugging of models implemented with Python * using the Import3d tool to convert Neurolucida, Eutectic, and SWC morphometric data files to NEURON models * how to add new ion channels and other biophysical mechanisms to NEURON For the course description and registrion form, see https://neuron.yale.edu/neuron/static/courses/sd2018/sd2018.html --Ted This message was composed in plain text and may contain plain text formatting of source code, tables, and lists. Reading it in a client that ignores "excess" whitespace characters or line breaks may destroy that formatting, making this message unreadable. Outlook does that by default; learn how to disable the "Auto Remove Line Breaks" ""feature"" at support.microsoft.com

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