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2nd CfP: Coupling & Causality in Complex Systems, Sep 25-27, Cologne, Germany
by Michael von Papen May 9, 2017

May 9, 2017

============================================================== 2nd CALL FOR PAPERS (Deadline: June 01, 2017) http://c3s.uni-koeln.de ============================================================== INTERNATIONAL CONFERENCE: *Coupling and Causality in Complex Systems* September 25-27, 2017, Cologne, Germany -------------------------------------------------------------- The interdisciplinary conference Coupling and Causality in Complex Systems (C3S) is hosted by the Competence Area 3: Quantitative Modeling of Complex Systems of the University of Cologne (UoC), Germany. It is organized by the Institute of Geophysics & Meteorology, UoC, the Institute of Clinical Neuroscience and Psychology, Heinrich-Heine University Düsseldorf and the Department of Cognitive Neuroscience at the Research Center Juelich. -------------------------------------------------- *Invited Speakers* Jörg Breitung - Macroeconomic Policy Institute, University of Cologne, Germany David Gross - Institute of Theoretical Physics, University of Cologne, Germany Philip Holmes - Mechanical and Aerospace Engineering / Princeton Neuroscience Institute, Princeton, USA Ankit Khambhati - Department of Bioengineering, University of Pennsylvania, USA Laura Marzetti - Department of Neuroscience, Università degli Studi "G. d'Annunzio" Chieti - Pescara Arkady Pikovsky - Institute of Physics and Astronomy, University Potsdam, Germany Michael Rosenblum - Institute of Physics and Astronomy, University Potsdam, Germany Jakob Runge - The Grantham Institute for Climate Change, Imperial College London -------------------------------------------------- *Preliminary Session Program* We will have different sessions with differing topics and each session will be opened by one of the invited speakers. Here is a preliminary version of our program: Session 1 Synchronization I Arkady Pikovsky Session 2 Synchronization II Silvia Daun Session 3 Coupled oscillators I Phil Holmes Session 4 Coupled oscillators II Michael Rosenblum Session 5 Phase coupling Laura Marzetti Session 6 Network structures Ankit Khambati Session 7 Bayesian networks David Gross Session 8 Granger causality I Jörg Breitung Session 9 Granger causality II Esther Florin Session 10 Causal network measures Jakob Runge Further topics of interest for the conference include, amongst others, research and methods development on: functional connectivity, (partial directed) coherence, network topology, graph-theoretic measures, directed graphs, nonlinear dynamics of complex systems, complex spatio-temporal systems, mutual information and transfer entropy. -------------------------------------------------------------- *Scientific Organizing Committee* Silvia Daun - Institute of Zoology, University of Cologne, Germany; Institute of Neuroscience and Medicine, Research Center Jülich, Germany Esther Florin - Institute of Clinical Neuroscience and Psychology, Düsseldorf, Germany Joachim Gross - Center for Cognitive Neuroimaging, Glasgow, UK Michael von Papen - Institute of Geophysics & Meteorology, Cologne, Germany; Institute of Neuroscience and Medicine, Research Center Jülich, Germany -------------------------------------------------------------- *Abstract* Complex systems such as the human brain, Earth’s climate and economy are characterized by a multitude of coupled processes on different spatial and temporal scales. In order to better understand the dynamics of the system at hand each scientific area has developed specific tools to identify, model and quantify these processes. The conference Coupling and Causality in Complex Systems (C3S) will present a collection of these approaches with the aim to provide scientists with new analysis strategies for their field. The conference focuses on how to characterize a complex system and on the methods for estimating and modeling of statistical coupling (e.g. network coherence, creation and modulation of small networks and local or long-range synchronization by cross frequency phase-phase and phase-amplitude coupling) and causality (e.g. Granger causality, transfer entropy). Therefore, data analysts from different study fields including neuroscience, mathematics, physics, biology, and economy will present their approaches with a particular focus on the methods they use. The aim of this conference is to foster discussions and the transdisciplinary exchange of advanced techniques, methods, and algorithms, thereby stimulating potential future collaborations. -------------------------------------------------------------- PAPER SUBMISSION AND REGISTRATION Authors are invited to submit conference abstracts with up to 400 words. Authors of exceptional abstracts will be given the opportunity to present their research in a talk. However, poster sessions will be provided with ample time for discussions. For your submission, please use the conference website c3s.uni-koeln.de. To register, please send an email with the subject "registration" to c3s-conference(a)uni-koeln.de. Please be sure to include your full name, your affiliation and whether you qualify as student (also PhD candidates) or not. The registration fee will cover snacks and refreshments during coffee breaks, lunch and a dinner with all participants. Early-bird registration is available until July 10 with a reduced fee of 100 EUR (50 EUR for students), after July 10 the registration fee will be 200 EUR (100 EUR for students). -------------------------------------------------------------- IMPORTANT DATES Paper Submission deadline: June 01, 2017 Author Notification: mid June, 2017 Early-bird registration: July 10, 2017 Conference: September 25-27, 2017 ============================================================== Please find the call for papers and more information at the conference website: http://c3s.uni-koeln.de. For questions regarding the conference feel free to contact us via c3s-conference(a)uni-koeln.de. -- ------------------------------------------ UNIVERSITY OF COLOGNE Institute of Geophysics & Meteorology Coordinator of Competence Area III: Quantitative Modeling of Complex Systems Dr. Michael von Papen Email: m.papen(a)uni-koeln.de http://www.uni-koeln.de/~vpapenm http://complexsystems.uni-koeln.de -- ------------------------------------------ UNIVERSITY OF COLOGNE Institute of Geophysics & Meteorology Coordinator of Competence Area III: Quantitative Modeling of Complex Systems Dr. Michael von Papen Email: m.papen(a)uni-koeln.de http://www.uni-koeln.de/~vpapenm http://complexsystems.uni-koeln.de -- RESEARCH CENTRE JUELICH Institute of Neuroscience and Medicine (INM-6) & Institute for Advanced Simulation (IAS-6) Dr. Michael von Papen Email: m.von.papen(a)fz-juelich.de Tel.: +49 2461 61-96482 ------------------------------------------------------------------------------------------------ ------------------------------------------------------------------------------------------------ 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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Second CfP: ACM Symposium on Applied Perception 2017
by Douglas Cunningham May 8, 2017

May 8, 2017

Symposium on Applied Perception Call for Papers and Posters The ACM Symposium on Applied Perception (ACM SAP) aims to advance and promote research that crosses the boundaries between perception and disciplines such as graphics, visualization, computer vision, haptics and acoustics. These fields can benefit from the exchange of ideas. The scope of the conference includes applications and algorithms in any area of research that incorporates elements of perception and computer science. Our fourteenth annual event provides an intimate, immersive forum for exchanging ideas about areas of overlapping interests. The ACM SAP 2017 conference will be held in Cottbus, Germany at the Brandenburg University of Technology on the 16th and 17th of September, 2017. We aim to further promote communication between the core perception and computer graphics communities. We invite submissions of original work in all areas of applied perception. Relevant areas include: Modeling, rendering, and animation Visualization Computational aesthetics Haptic rendering, haptic input and perception Perception of virtual characters Color vision and color appearance modeling Perception of high dynamic range scenes and images Interaction techniques and interfaces Augmented reality Virtual worlds Display technologies Auditory display and interfaces Perceptual auditory coding Spatialized sound Speech synthesis and recognition Sensory integration Multimodal rendering Spatial and temporal vision Attention and eye movements Statistical learning and perception of natural scenes Perception of shapes, surfaces, and materials Papers Research can be submitted as a long paper (up to 8 pages and up to 20 minute talk), a short paper (up to 4 pages and up to 15 minute talk), or as a poster presentation (1 page abstract). All submissions should follow the generalSIGGRAPH formatting guidelines. Diagrams and images should be represented in color where appropriate. Papers that are not accepted will be considered for the poster session. Authors of posters accepted by this route will, of course, have the option to decline the opportunity to present a poster. Posters The posters program at SAP provides an informal venue for authors to share their research achievements and further discuss them with others. In that spirit, we encourage all types of scholarly submissions that fit the scope of ACM-SAP. In particular, we explicitly welcome poster submissions on work-in-progress and on work that may have been previously published elsewhere but for which additional dissemination and discussion is desired. The poster session is an integral part of SAP and the SAP program will include a dedicated time slot for poster viewing and discussion. All poster presenters will also have the opportunity to give a one-minute presentation on their work during a poster fast-forward session. NOTE: SAP poster abstracts are NOT considered to be publications, and as such will NOT appear in the ACM Digital Library. Poster abstracts WILL be included in the conference USB drive. Poster abstracts should follow the general SIGGRAPH formatting guidelines, except that they should be 1 page long. . Further details All papers will be carefully reviewed by our International Program Committee. SAP follows a double blind review process. Papers will be evaluated as submitted, given limited time between submission and printing of final versions. Under a recent agreement with the ACM Transactions on Applied Perception (TAP) and the ACM Publications Board, the strongest accepted papers will be offered publication as full papers in the ACM journal TAP. Authors of such special issue papers must agree to present the paper at ACM SAP. As has always been the case, authors of regular ACM SAP papers can still submit to TAP regular issues with appropriate additions. Papers that have been recommended for acceptance in the ACM TAP journal will undergo a second review cycle, during which the authors will revise the paper to address reviewer concerns (similar to conditional acceptances at ACM SIGGRAPH). Please note that TAP referrals are conditional. The TAP reviewers may recommend bringing the paper back to the SAP proceedings if the quality of the revision is inadequate. Therefore, it is very important to incorporate as many reviewer comments as possible into the revision. The revised paper has to be submitted in TAP format to Manuscript Central and must include a cover letter stating that the submission is for the SAP special issue. The cover letter should also document the list of changes made to the paper to address the reviewer concerns. Reformatting an 8-page paper from the SAP format to the TAP format typically adds a few pages so we expect the final papers will have somewhere between 10-15 pages. TAP papers must not exceed 20 pages in length. Complete TAP author guidelines and templates are available at h ttp://tap.acm.org/authors.cfm. Conference Chairs Douglas W. Cunningham, Brandenburg University of Technology Michael Breuß, Brandenburg University of Technology Program Chairs Sophie Joerg, Clemson University Victoria Interrante, University of Minnesota Poster Chair Susana Castillo Alejandre, Brandenburg University of Technology Deadlines Papers: Monday, May 22: Mandatory abstract submission Friday, May 26: Paper submission deadline Friday, June 23: Decisions announced Friday, July 14: Final papers due Papers recommended for TAP: Friday, July 14 (Camera Ready) Revisions to TAP recommended papers due (anonymous, in TAP format) Friday, July 21: Notification to TAP authors Posters: Friday, July 7: Poster submission Friday, July 21: Decisions announced Friday, July 28: Camera ready version of 1-page abstract due ##SELECTION_END##

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PhD positions - perception, learning, and cognitive state
by Nelson Totah May 8, 2017

May 8, 2017

PhD Position - Max Planck Institute for Biological Cybernetics (Tübingen, Germany) The Max Planck Institute for Biological Cybernetics offers 2 PhD student positions under the supervision of Dr. Nelson Totah in the department of Prof. Nikos Logothetis (Department of Physiology of Cognitive Processes). The projects will study the roles that attention and arousal play in learning and cognitive control. The learning task involves flexibly attending to visual and auditory stimuli. Students will record frontal cortex neurons and brain stem norepinephrine neurons from head-fixed rats during learning. We will also explore novel methods for activating the norepinephrine system to improve learning and cognition impairments in psychiatric disorders. Applicants should have a degree in neuroscience, biology, or experimental psychology. Candidates with a background in engineering, physics, or related fields are also encouraged to apply their skills to the analysis of neurophysiological data, but these applicants should also have interest in our ultimate goal of understanding behavior and cognition. Prior experience working with behaving rats or mice, programming (MATLAB), and a mathematical or computational background are all highly desirable in applicants, but not all required. English language fluency is required, but German language fluency is not required for laboratory work or classes. Students will join the International Max Planck Research School for Systems and Cognitive Neuroscience / Graduate Training Center of Neuroscience at the University of Tübingen (http://www.neuroschool-tuebingen.de/) The positions are fully funded for 3 years with extension for additional years possible. Applications should include a CV, a brief (up to 500 word) personal statement about research interests and goals after the PhD, and 2 letters of reference. These may be submitted by email to Dr. Totah (nelson.totah(a)tuebingen.mpg.de) Nelson Totah, PhD Research Group Leader Department of Physiology of Cognitive Processes Max Planck Institute for Biological Cybernetics Tuebingen, Germany

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Blue Brain Project: Section Manager for Data & Knowledge Engineering
by Hill Sean May 6, 2017

May 6, 2017

BBP - Section Manager - Data & Knowledge Engineering The EPFL Blue Brain Project (BBP), situated on the Campus Biotech in Geneva, Switzerland, applies advanced neuroinformatics, data analytics, high-performance computing and simulation-based approaches to the challenge of understanding the structure and function of the mammalian brain in health and disease. The BBP plays a leading role in the Human Brain Project, which aims to accelerate our understanding of the human brain, enable advances in defining and diagnosing brain disorders, and develop new brain-like technologies through open science and global collaboration. The Blue Brain has built a neuroinformatics platform for large-scale neuroscience data integration, search and analysis to enable and accelerate the delivery of its scientific roadmap. We are now seeking to fill the following position: Section Manager – Data & Knowledge Engineering Major Duties and responsibilities: • Lead and manage the Neuroscience Data & Knowledge Engineering team • In collaboration with the Head of the Neuroinformatics division and the Section Manager of the Neuroinformatics Software Engineering, define and implement the Data Integration roadmap in accordance to the project objectives • Build strong working relationships and partnerships with data providers and the neuroinformatics platform users in order to lead the efforts of data standardisation in the frame of their implementation in the Neuroinformatic Platform • Coordinate and ensure effective communication with internal and external stakeholders • Participate in operating and maintaining data integration in the Neuroinformatic Platform • Support the coordination of the external projects • Participate in writing and reviewing of scientific reports Experience and preferred skills: • Strong personnel management, organisational skills and sense of diplomacy • Positive attitude and hands on approach • Experience in data management and integration of biological data • Proficiency and proven experience with ontology engineering and semantic technologies (applications to the field of biosciences would be a plus) • Domain knowledge in neuroscience is a plus (understanding different types of neuroscience experimental data and experiment design) • Excellent written and oral communication skills Profile: • PhD or Master in computer science, bioinformatics or equivalent. • At least 3-5 years experience in data management and knowledge engineering • English written and spoken, French would be a plus. What we offer: • An internationally visible and rising project in simulation-based research in neuroscience • A young, dynamic, inter-disciplinary, and international working environment • A modern working environment, based at the Biotech Campus in Geneva Sécheron Start date: as soon as possible ; Activity rate: 100%; Deadline for application : until position is filledDuration of contract: 1 year, renewable, possibility for a CDI after 1 year. Ref: BBP13201 Applicants should submit a cover letter and a detailed CV in PDF format only, with file name “{ Surname} _{PositionApplied} _Cover_letter” and “{ Surname} _{P ositionApplied} _CV” electronically tojobs.bbp(a)epfl.ch . Please use the position title as the “subject” of your email. BBP : 05.05.2017

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Funded PhD in Psychology (New insights into ADHD through behavioural and modelling studies)
by Eirini Mavritsaki May 4, 2017

May 4, 2017

Reminder funded PhD Please note the deadline of application is 10th of May 2017 New insights into ADHD through behavioural and modelling studies Applications are invited for a 3-year PhD studentship within the Department of Psychology, Faculty of Business Law and Social Sciences, Birmingham City University. Applicants need to demonstrate ability and commitment, including excellent communications skills in written and spoken English. Project Synopsis: There are many limitations on the behaviour of complex neural systems, but one primary constraint is to filter incoming input in order that actions can be programmed to behaviourally relevant stimuli. A major challenge for current-day researchers is to understand how (and why) these limitations arise, especially in conditions such as attention deficit hyperactivity disorder (ADHD) where the attentional system is dysfunctional. The main aim of this project is to identify and understand the differences in visual attention between children diagnosed with ADHD and typically functioning children. In addition, to investigate the role of diet in ADHD. This Ph.D. thesis aims to do this by using a novel interdisciplinary approach, behavioural and computational modelling study. The student can choose to work in both or just one approach (either computational or behavioural work). The successful applicant will join the Centre for Applied Psychological Research (CAP Research) within the Department of Psychology at Birmingham City University. This centre is part of a vibrant and rapidly expanding research community, which offers applicants with an excellent opportunity to develop their research career. The applicant will have the opportunity to gain teaching experience, to participate in research seminars and to co-supervise undergraduate projects. For more information please contact Dr Eirini Mavritsaki (Eirini.mavritsaki(a)bcu.ac.uk<mailto:Eirini.mavritsaki@bcu.ac.uk>). Candidate Qualification and Specifications: Essential ? The applicant should hold a good undergraduate honours degree (First or 2:1) in psychology or a related area to the topic. ? A demonstrated understanding of research methods is essential (as evidenced by degree transcript grades for research methods and dissertation modules). ? The applicant will be expected to undertake and pass Disclosure and Barring Service (DBS) checks. ? The applicant should enjoy working with children. ? For applications that involve computational modelling the student needs to have experience in C++ and/or Matlab. Desirable ? A Masters' degree in research methods, psychology or a computational modelling. ? For applications that involve behavioural work, itis desirable to have experience (voluntary or paid) in schools or experience working with children. ? Access to a car and a valid driving licence. ? For applications that involve computational modelling, it is desirable to have Computational modelling experience. Application Process (Deadline of application 10th of May) You can find further details on studying for a PhD and details of how to apply by clicking on the following link http://www.bcu.ac.uk/social-sciences/courses/research-degrees. Please feel free to contact us if you have any questions about the application or to express an interest. ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Eirini Mavritsaki, PhD, CPsychol Senior Lecturer in Cognitive Psychology Director of Research in the School of Social Sciences Department of Psychology Faculty of Business Law and Social Sciences Birmingham City University The Curzon Building 4 Cardigan Street Birmingham B4 7BD eirini.mavritsaki(a)bcu.ac.uk<mailto:eirini.mavritsaki@bcu.ac.uk> 0121 331 6361 Office Hours Appointment only: Tuesdays 11:00-12:00 Drop-in: Fridays 09:00-10:00 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

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BCBT2017 Summer School. Registrations Open!
by INFO CSNETWORK, Bústia Compartida May 4, 2017

May 4, 2017

Apologies for crossposting! ---------------------------------------------------------- CALL FOR PARTICIPATION ---------------------------------------------------------- *Barcelona Cognition, Brain and Technology Summer School -BCBT2017* University Pompeu Fabra, Barcelona, Spain. 28 August - 8 September 2017 BCBT2017-Eventum UPF <https://eventum.upf.edu/9240/detail/bcbt-2017.html> Join us for the 10th edition of *"Barcelona Cognition, Brain and Technology summer school - BCBT2017 *" be held 28 August-8 September 2017 in Barcelona, Spain. The BCBT summer school is positioned at the interface between biology and future and emerging technologies with an emphasis on the principles underlying brains and their translation to avant-garde technologies. BCBT promotes a shared systems-level understanding of the functional architecture of the brain and its possible emulation in artificial systems. The summer school has been part of a series of events organized by the European coordination action Convergent Science Network of Biomimetics and Neurotechnology (*http://csnetwork.eu/ <http://csnetwork.eu/>*). This year the school is supported by the ERC project CDAC <http://specs.upf.edu/projects/2810> that investigates the role of consciousness in adaptive behavior combining empirical, computational and robot-based approach. BCBT is also supported by EPISENSE <https://www.humanbrainproject.eu/sp3>, a subproject of the Human Brain Project <https://www.humanbrainproject.eu/>(HBP) that investigates brain mechanisms of perception and memory. This is the 10th year of BCBT, which has run with great success in previous years thanks to an excellent line-up of outstanding speakers (see bcbt.upf.edu for previous editions of the school). BCBT lectures <https://www.youtube.com/user/ConvergentScienceNw/playlists> are available online with the BCBT *Podcast interviews *with many of the BCBT speakers. BCBT caters to students and researchers involved in projects that are in the ambit of “BIO-ICT convergence”, "Brain Inspired ICT", “Cognitive systems-robotics”, “Cognitive and neural systems”, “Foundations of social cognition”. BCBT will offer up to 30 student slots for the practical workshops, while as many researchers can register to attend the presentations and discussion sessions as they are interested. The atmosphere of the BCBT summer school is informal with the goal to stimulate in-depth discussion. There are 1 or 2 presentations in the morning, with the afternoons reserved for tutorials and projects for student participants and road-mapping workshops or further discussion for senior scientists. For the 2017 edition we plan a *1st week* of the school addressing *Neural basis of Consciousness *while the *2nd week* will include presentations aimed at the investigation of *Evolutionary and Developmental aspects of nervous systems and behavior.* Friday 8 is reserved for the presentation of the student projects to which everybody is invited. *Application deadline: July 24, 2017* For more information on how to apply, please go to BCBT2017-Eventum UPF <https://eventum.upf.edu/9240/detail/bcbt-2017.html> *BCBT is organized by* Paul Verschure, ICREA and University Pompeu Fabra Barcelona, ES, Tony Prescott, Sheffield University, UK Anna Mura, University Pompeu Fabra Barcelona, ES

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Postdoctoral Fellow position at Mclean Hospital/Harvard Medical School
by Wei Tang May 4, 2017

May 4, 2017

An NIH-funded postdoctoral fellow position is available in the Haber laboratory in the Basic Neuroscience Division at McLean Hospital, a Harvard Medical School affiliate. We are a seeking a highly motivated individual with interests in a multidisciplinary approach for understanding network interactions between emotions and cognition. The position includes implementation and development of combining image methods to precise anatomic mapping to: 1) understand networks of prefrontal cortex and basal ganglia that underlie motivation and decision making; 2) use this data to guide and interpret connectivity profiles in the human brain, and link the neurocircuits to functional networks, and 3) determine how abnormal connectivity profiles in obsessive compulsive disorder, addiction, and depression, are related to specific circuits. One goal of the laboratory is to identify specific network dysfunction in diseases and develop novel targets for brain stimulation. The successful applicant will join a vibrant and collaborative laboratory and scientific community at McLean Hospital. (S)he will have full access to the diverse research, financial, and career development opportunities offered through both McLean Hospital and Harvard Medical School. Candidates should have a PhD or MD/PhD in neuroscience or related discipline, with a strong computational background and a particular interest in neural circuits underlying cognitive and emotional networks. Experience in the following areas is preferred. - Circuit mapping - Computer science - Neuroscience - Neuroimaging Interested applicants should send a cover letter, CV, and contact information ((including phone numbers, email addresses) for three reference letters to Suzanne_Haber(a)urmc.rochester.edu. The position is full-time with excellent benefits. Salary will be commensurate with experience. Successful candidate will be proposed for academic appointment as a Research Fellow in the Department of Psychiatry at HMS. Qualified women and minority candidates are encouraged to apply. Review of applications will begin immediately and continue until the position is filled. McLean Hospital, which is an affiliate of Harvard Medical School, is an Equal Opportunity Employer. It is the policy of McLean Hospital to affirmatively provide equal opportunity to all qualified applicants for employment and existing employees without regard to their race, religion, color, national origin, sex, age, ancestry, protected veteran status, disability, sexual orientation, gender orientation or any other basis that would be in violation of any applicable law or regulation.

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Funded PhD in Computational Neuroscience (Investigating oscillatory behaviour in Alzheimer’s disease to establish biomarkers: an EEG and computational programme of PhD study)
by Eirini Mavritsaki May 3, 2017

May 3, 2017

Reminder funded PhD Please note the deadline of application is 10th of May 2017 Investigating oscillatory behaviour in Alzheimer’s disease to establish biomarkers: an EEG and computational programme of PhD study Applications are invited for a 3-year PhD studentship within the Department of Psychology, Faculty of Business Law and Social Sciences, Birmingham City University. Applicants need to demonstrate ability and commitment, including excellent communications skills in written and spoken English. Project Synopsis: This proposed PhD work follows high profile research by the University of Birmingham team (Prof. Kim Shapiro, Prof. Howard Bowman and Mr Ali Mazaheri). The project is collaborative work between Birmingham City University (Dr Eirini Mavritsaki and Prof. Maxine Lintern) and University of Birmingham (Prof. Kim Shapiro and Prof. Howard Bowman). The University of Birmingham team has access to ERP data of a semantic anomaly and word repetition task (Olichney et al, 2002). In the original analysis of the data by Olichney and colleagues, the N400 component was analysed, which is related to semantic manipulation. Olichney and colleagues found evidence of N400 abnormalities in mild cognitive impairment patients, which predicted later progression to Alzhemier’s. The University of Birmingham team have identified oscillatory changes that also predict progression to Alzheimer’s, opening up the possibility that an effective EEG-based early-stage biomarker of Alzheimer’s might be within reach. We plan to simulate this data and the changes observed in it using a computational model that is based on the sSoTS (Mavritsaki, Heinke, Humphreys and Deco, 2011) model. The successful applicant will join the Centre for Applied Psychological Research (CAPresearch) within the Department of Psychology at Birmingham City University. CAPresearch is part of a vibrant and rapidly expanding research community, which offers applicants with an excellent opportunity to develop their research career. The applicant has the opportunity to have teaching experience, to participate in research seminars and to co-supervise undergraduate projects. The successful candidate will also be expected to attend the weekly meetings of the University of Birmingham research team. For more information please contact Dr Eirini Mavritsaki (Eirini.mavritsaki(a)bcu.ac.uk<mailto:Eirini.mavritsaki@bcu.ac.uk>) or Prof. Howard Bowman (H.Bowman(a)bham.ac.uk<mailto:H.Bowman@bham.ac.uk>). For application please see below. Candidate Qualification and Specifications: Essential Ø The applicant should hold a good undergraduate honours degree (First or 2:1) in related area. Ø The applicant should have experience of computational models, evidenced by previous work or masters degree. Ø A demonstrated understanding of research methods is essential (as evidenced by degree transcript grades for research methods and dissertation modules). Ø Experience in C++ and Matlab. Desirable Ø A Masters’ degree in research methods, psychology or computational modelling Application Process (Deadline of application 10th of May) You can find further details on studying for a PhD and details of how to apply on the following link http://www.bcu.ac.uk/social-sciences/courses/research-degrees Please feel free to contact us if you have any questions for the application and to express interest. ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Eirini Mavritsaki, PhD, CPsychol Senior Lecturer in Cognitive Psychology Director of Research in the School of Social Sciences Department of Psychology Faculty of Business Law and Social Sciences Birmingham City University The Curzon Building 4 Cardigan Street Birmingham B4 7BD eirini.mavritsaki(a)bcu.ac.uk<mailto:eirini.mavritsaki@bcu.ac.uk> 0121 331 6361 Office Hours Appointment only: Tuesdays 11:00-12:00 Drop-in: Fridays 09:00-10:00 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

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Multiple Positions in Translational Neurophysiology Lab @ Feinstein's Center for Bioelectronic Medicine
by Platt, Jo Ann May 2, 2017

May 2, 2017

We are seeking Post Docs, Research Assistants/Associates, Staff Scientist, and a Senior Staff Scientist for Stavros Zanos's Translational Neurophysiology Lab in the Center for Bioelectronic Medicine at the Feinstein Institute for Medical Research - Long Island, New York. Submit your CV and cover letter to japlatt(a)northwell.edu We are seeking research assistants, post-doctoral researchers, staff scientists and senior staff scientists to work full-time in neurophysiology, cardiovascular physiology and bioelectronic medicine research projects. The lab utilizes a variety of techniques from neurophysiology and cardiovascular physiology, chronic implants, experimental surgical and interventional techniques and bioelectronic systems for closed-loop neural recording and stimulation, both in health and in disease models. Individuals applying for this position should have experience in porcine or nonhuman primate neurophysiology or cardiovascular physiology research, with awake or anesthetized animals. Experience with chronic implants, human neuro/cardiovascular physiology and analysis of physiological data is desired. RESEARCH ASSISTANT/ASSOCIATE: Translational Neurophysiology - Bioelectronic Medicine QUALIFICATIONS: Bachelor of Science Degree, required; Master of Science/Engineering desired Research experience with large animal models (porcine or nonhuman primate) desired Research experience in neurophysiology and/or cardiovascular physiology, desired Exposure to data analysis software (e.g. Matlab), desired RESPONSIBILITIES: The Translational Neurophysiology Laboratory at the Center for Bioelectronic Medicine, headed by Stavros Zanos MD PhD, focuses on the development and testing of novel devices and therapies in large animal models, in health and disease. The lab utilizes a variety of techniques from neurophysiology and cardiovascular physiology, chronic implants, experimental surgical and interventional techniques and bioelectronic systems for closed-loop neural recording and stimulation. The successful candidate: Performs a variety of independent activities involved in planning, organizing and conducting assigned portion(s) of specific research projects. Participates in the coordination of sharing information, lending assistance, and solving problems with other team members, as needed. Receives guidance and/or direction for assignments that are project-specific. Job Responsibilities Include: Performs experimental studies include physiology experiments in large animal (porcine) models Learns, researches and recommends new experimental procedures, as necessary Oversees care and servicing of Center related equipment, tools and instruments. Assists in coordinating repair and managing warranties/service contracts. Collaborates with investigator and other team members in developing plans, organization, implementation and monitoring for research projects. Participates in compilation/writing of integrated reports and preparation of presentations and manuscripts of scientific meetings and technical journals. Performs collection, verification and documentation of research data. POSTDOCTORAL RESEARCH TRAINEE - Translational Neurophysiology - Bioelectronic Medicine QUALIFICATIONS: Doctorate degree (Ph.D, M.D. or D.V.M.), required Authored/co-authored research papers and/or scientific abstracts, required Research experience with large animal models (porcine or nonhuman primate) desired Research experience in neurophysiology and/or cardiovascular physiology, desired Knowledge of data analysis software (e.g. Matlab), desired RESPONSIBILITIES: The successful candidate is expected to work full-time on physiology and neural engineering projects using stimulation of peripheral autonomic nerves to modulate the immune, cardiovascular and central nervous systems. The lab utilizes a variety of techniques from neurophysiology and cardiovascular physiology, chronic implants, experimental surgical and interventional techniques and bioelectronic systems for closed-loop neural recording and stimulation, in large animals, both in health and in disease models. The lab is part of and collaborates closely with other labs at Feinstein's CBEM: neural decoding and data analytics, bioelectronics and biosensing, microfabrication, neural bypass, electrochemistry, molecular targets, etc. The lab also participates in clinical research through collaborations with Northwell's clinical teams (neurosurgery, neurology, gastrointestinal medicine, cardiopulmonary medicine, psychiatry etc). The successful candidate will perform physiology experiments, collect, organize and analyze data, 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. Responsibilities Include: Performs research projects as directed. Follows and adheres to experimental protocols in a proficient and meticulous manner. Responsible for the collection, analysis and interpretation of research data related to specific project. Submits manuscripts and abstracts for publication to peer review journals and presentations at local, national and international conferences. Performs a variety of tasks, including but not limited to, correspondence, attending meetings, database maintenance, maintaining records, charts, etc. Provides technical direction to research staff. STAFF SCIENTIST - Translational Neurophysiology - Bioelectronic Medicine QUALIFICATIONS: Doctorate degree (Ph.D, M.D. or D.V.M.), or Bachelor of Science and relevant research experience (>5 years) required Research experience with large animal models (porcine or nonhuman primate), required Research experience in neurophysiology and/or cardiovascular physiology, desired Authored/co-authored research papers and/or scientific abstracts, desired Knowledge of data analysis software (e.g. Matlab), desired RESPONSIBILITIES: The successful candidate is expected to work full-time on physiology and neural engineering projects using stimulation of peripheral autonomic nerves to modulate the immune, cardiovascular and central nervous systems. The lab utilizes a variety of techniques from neurophysiology and cardiovascular physiology, chronic implants, experimental surgical and interventional techniques and bioelectronic systems for closed-loop neural recording and stimulation, in large animals, both in health and in disease models. The lab is part of and collaborates closely with other labs at Feinstein's CBEM: neural decoding and data analytics, bioelectronics and biosensing, microfabrication, neural bypass, electrochemistry, molecular targets, etc. The lab also participates in clinical research through collaborations with Northwell's clinical teams (neurosurgery, neurology, gastrointestinal medicine, cardiopulmonary medicine, psychiatry etc). The successful candidate will perform physiology experiments, collect, organize and analyze data, 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. Responsibilities Include: Performs research as directed and trains and provides technical and scientific direction to other research staff. Follows and adheres to experimental protocols in a proficient and meticulous manner. Responsible for the collection, analysis and interpretation of research data related to one or more projects. Keywords: neurophysiology, cardiovascular physiology, large animal models, neural engineering, bioelectronics, electrodes, recording, stimulation, peripheral nerves SENIOR STAFF SCIENTIST - Translational Neurophysiology - Bioelectronic Medicine QUALIFICATIONS: Doctorate degree (Ph.D, M.D. or D.V.M.) and relevant post-graduate academic or industry research experience (>5 years) required Research experience with large animal models (porcine or nonhuman primate), highly desired Research experience in neurophysiology and/or cardiovascular physiology, highly desired Authored/co-authored research papers and/or scientific abstracts, desired Knowledge of data analysis software (e.g. Matlab), desired RESPONSIBILITIES: The successful candidate is expected to work full-time on physiology and neural engineering projects using stimulation of peripheral autonomic nerves to modulate the immune, cardiovascular and central nervous systems. The lab utilizes a variety of techniques from neurophysiology and cardiovascular physiology, chronic implants, experimental surgical and interventional techniques and bioelectronic systems for closed-loop neural recording and stimulation, in large animals, both in health and in disease models. The lab is part of and collaborates closely with other labs at Feinstein's CBEM: neural decoding and data analytics, bioelectronics and biosensing, microfabrication, neural bypass, electrochemistry, molecular targets, etc. The lab also participates in clinical research through collaborations with Northwell's clinical teams (neurosurgery, neurology, gastrointestinal medicine, cardiopulmonary medicine, psychiatry etc). The successful candidate will lead and perform physiology experiments, collect, organize and analyze data, train 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. Responsibilities include: Leads and performs research. Trains and provides technical and scientific direction to research staff. Responsible for the planning, collection, organization, analysis and interpretation of research data related to one ore more projects. Keywords: neurophysiology, cardiovascular physiology, large animal models, neural engineering, bioelectronics, electrodes, recording, stimulation, peripheral nerves 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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Multiple Openings for Research Scientists and Engineers in Machine Learning to Reverse-Engineer Intelligence
by Lopez, Camila May 2, 2017

May 2, 2017

Multiple Openings for Research Scientists and Engineers in Machine Learning to Reverse-Engineer Intelligence We are looking for exceptionally talented researchers that share our vision: to discover new computational principles of brain intelligence and apply these principles to create fundamentally new algorithms for machine intelligence. We are particularly interested in candidates with expertise in machine learning, computational neuroscience or with strong quantitative background in Mathematics, Statistics, Physics or Computer Science. Our Neuro-Inspired Networks for Artificial Intelligence (ninai.org<https://urldefense.proofpoint.com/v2/url?u=http-3A__ninai.org&d=DwMGaQ&c=ZQ…>) research team is interdisciplinary and international, with expertise ranging from large-scale neurophysiology and brain circuit analysis to deep learning. POSITIONS: We have opportunities in several project components and multiple locations, and all participants will interact extensively across multiple scientific disciplines and multiple sites. Highest-priority topics include: * Developing new architectures for deep networks * Neuro-inspired networks for real-world tasks * Functional modeling of neuronal microcircuits * Probabilistic inference by population codes * Statistical analysis of large-scale neural data from behaving animals THE TEAM: The project is led by Andreas Tolias (PI) and Xaq Pitkow (co-PI), from Baylor College of Medicine, and includes researchers from Caltech, Columbia, Cornell, Rice University, University of Toronto, University of Tübingen, the Allen Institute, and Princeton: Matthias Bethge, Liam Paninski, Ankit Patel, Clay Reid, Sebastian Seung, Thanos Siapas, Raquel Urtasun, Chris Xu, Richard Zemel and Richard Baraniuk. For detailed information about the team and its members, please see our website, ninai.org<https://urldefense.proofpoint.com/v2/url?u=http-3A__ninai.org_&d=DwMGaQ&c=Z…>. QUALIFICATIONS: Candidates must have a record of productivity, excellent quantitative skills, good communication skills, and creativity. Experience in Machine Learning and in particular Deep Learning is desired. APPLYING: The positions provide a competitive annual salary and benefits, and outstanding scientific opportunities. Applicants should email a CV, letter of research interests, and contact information for three references to info(a)ninai.org<mailto:info@ninai.org>. We look forward to hearing from you! Camila Lopez Baylor College of Medicine 713.798.4072 | camilal(a)bcm.edu<mailto:camilal@bcm.edu>

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