- Comp-neuro - lists.cnsorg.org

PhD opportunity: Computational approaches to multisensory processing (UK-based)
by Thomas Otto Nov. 13, 2019

Nov. 13, 2019

Dear colleagues, Thank you for forwarding this advertisement for a 4-year PhD position at the University of St Andrews, Scotland, to UK-based students with interests in computational approaches to multisensory processing. More details can be found with the link below. Kind regards, Tom https://www.findaphd.com/phds/project/eastbio-the-role-of-sequential-effect… -- Dr. Thomas Otto University of St Andrews School of Psychology and Neuroscience St Mary’s Quad, South Street, St Andrews, KY16 9JP, Scotland Phone: +44 (0)1334 462091 http://lclab.wp.st-andrews.ac.uk/

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postdoc in computational cognitive neuroscience at TU Dresden
by Dimitrije Markovic Nov. 12, 2019

Nov. 12, 2019

Dear colleagues, please find bellow a brief description of an open postdoc position for someone into computational cognitive neuroscience. Application deadline is November 29. Best wishes, Dimitrije Markovic -- The Department of Psychology at the TU Dresden (PI: Stefan Kiebel) is looking for a postdoc. The position is for 3,5 years. The candidate will be working on computational models in cognitive control and decision making. Detailed information about the position can be found at: https://tinyurl.com/whabxhv The position in the group of Stefan Kiebel<https://tu-dresden.de/mn/psychologie/ifap/ni?set_language=de> is associated with the DFG-funded CRC 940 'volition and cognitive control' (https://tu-dresden.de/bereichsuebergreifendes/sfb940) and TRR 265 'Losing and Regaining Control over Drug Intake: From Trajectories to Mechanisms to Interventions' (https://sfb-trr265.charite.de/en/) In the CRC 940 projects we're developing models of meta-control, while in the TRR 265 project we're focusing on models of balancing habitual and goal-directed control. The candidate will work as a member of a team of both modellers and experimenters (fMRI and EEG). ============================= Dr. Dimitrije Markovic Post-Doc at Technische Universität Dresden, Department of Psychology, Dresden, Germany Lab website: https://tu-dresden.de/mn/psychologie/ifap/ni Phone: +49-351-463-43146 Personal website: http://dimarkov.github.io/ =============================

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PhD/postdoc vacancy: EEG and audio processing for neuro-steered hearing aids
by Tom Francart Nov. 12, 2019

Nov. 12, 2019

Dear colleagues, Thank you for forwarding this advertisement for two positions at the University of Leuven, Belgium, to any interested party. We have a *PhD and Post-doc position*on a joint project between the research group ExpORL, Dept. Neurosciences (Tom Francart) and the research group ESAT-STADIUS, Dept. Electrical Engineering (Alexander Bertrand). The long-term goal of this project is to design smart hearing devices that can be controlled by the brain. Topic: EEG and audio processing for neuro-steered hearing aids: ·adaptive signal processing and/or machine learning methods to perform auditory attention decoding, and use these in EEG experiments ·a brain-computer interface set-up for real-time (closed loop) attention decoding with EEG and perform experiments on subjects Candidates need a *degree in engineering, computer science,* physics, or similar, and good machine learning, signal processing and programming skills. Excellent English proficiency is required as well as a strong interest in auditory perception and willingness to work in an interdisciplinary team. Knowledge of human neurophysiology and psychology of hearing is a strong plus. More details and the link to apply can be found through the following links: PhD position: https://www.kuleuven.be/personeel/jobsite/jobs/55358404 Postdoc position: https://www.kuleuven.be/personeel/jobsite/jobs/55358406 With kind regards, Tom Francart Alexander Bertrand -- Prof. Dr. Tom Francart KU Leuven Department of Neurosciences, ExpORL Herestraat 49 bus 721, B-3000 Leuven, Belgium Tel: +32 16 37 98 40

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CFP SAB 2020: FROM ANIMALS TO ANIMATS 16th International Conference on the Simulation of Adaptive Behavior - Cergy-Pontoise, France, 22-24 Sep 2020 -- deadline: 1st Apr 2020
by alexandre pitti Nov. 12, 2019

Nov. 12, 2019

Call for papers for the 16th International Conference on the Simulation of Adaptive Behavior (SAB2020) SAB 2020 : FROM ANIMALS TO ANIMATS 16 that will be held at Cergy-Pontoise University (near Paris), France 22-24 september 2020 + workshops day 21st https://sab2020.sciencesconf.org/ *Scope of the Conference* ========================= The objective of this interdisciplinary conference is to bring together researchers in computer science, artificial intelligence, artificial life, control, robotics, neurosciences, ethology, evolutionary biology and related fields in order to further our understanding of the behaviors and underlying mechanisms that allow natural and artificial animals to adapt and survive in uncertain environments. The conference will focus on experiments with well-defined models including robot models, computer simulation models and mathematical models designed to help characterize and compare various organizational principles or architectures underlying adaptive behavior in real animals and in synthetic agents, the animats. *Location* ========== Cergy-Pontoise University, close to Paris, France *Relevant Research Areas* ========================= SAB2020 solicits contributions dealing with any aspect of adaptive behavior in natural and artificial systems. Typical, but not exclusive, topics of interest are: The animat approach Motor control Body and brain co-evolution Self-assembling and self-replication Sensory-motor coordination Action selection and behavioral sequencing Navigation and mapping Internal models and representation Evolution, development and learning Collective and social behavior Applied adaptive behavior Motivation and emotion Communication and language Emergent structures and behaviors Neural correlates of behavior Evolutionary and co-evolutionary approaches Bio-inspired and hybrid robotics Autonomous robotics Humanoid robotics Cognitive and developmental robotics Software agents and virtual creatures Philosophical and psychological issues Animats in education *Conference Format* =================== Following the tradition of SAB conferences, the conference will be single track with additional poster sessions. There will also be a day of tutorials. *Important Dates* ================= The conference will be held between 22-24 Sep 2020 and the 21st of September will be dedicated to workshops and tutorials Submission deadline : 1st of April, 2020 Notification of Acceptance : 1st of May, 2020 Camera ready: 1st of June, 2020 workshops/tutorials: 21st of September, 2020 Venue: 22nd-24th of September, 2020 Workshop/Tutorial Proposal Deadline: 21st May, 2020 Workshop/Tutorial Notification of Acceptance: 31th May, 2020 *Paper Submission Instruction and Publication Details* ====================================================== Submitted papers must not exceed 12 pages. Detailed submission instructions are available from the conference website (https://sab2020.sciencesconf.org/) Special Issue to Springer Lecture Notes in Artificial Intelligence All accepted papers with oral or poster presentation will be published in Springer Lecture Notes in Artificial Intelligence series conference proceedings. Selected authors may additionally be invited to submit extended versions for a conference Special Issue of the Journal of Adaptive Behavior. *Workshops & tutorials* ======================= The SAB2020 organizing committee invites proposals for workshops and tutorials, which will be held on the 21st of September, 2020. Instructions for preparing the tutorial proposal and further details on the tutorials will be found at http://www.sab2020.sciencesconf.org *Best Paper Award* ================== Two best paper prizes will be awarded at the end of the conference to honour the authors of papers of exceptional merit. For more information please refer to the official SAB2020 website. *Further Information* ===================== Up-to-date information will be published on the website https://sab2020.sciencesconf.org/ . For information about local arrangements, registration forms, etc., please refer to the website or contact the local organizers at the address below. * Organizers * ============== ETIS laboratory, CNRS UMR 8051, Université de Cergy-Pontoise, ISAB Philippe Gaussier General Chair, UCP Sofiane Boucenna Program Chair, UCP Nicolas Cuperlier Program Chair, UCP Alexandre Pitti Local Chair and Publicity Chair, UCP TBA *Conference Address* ==================== Laboratoire ETIS, Département Informatique Université de Cergy-Pontoise, Site Saint-Martin 2 avenue Adolphe Chauvin, 95302 Cergy-Pontoise, France *Contact * ========== [ mailto:sab2020@sciencesconf.org | sab2020(a)sciencesconf.org ]

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Call for graduate students
by Joshua Hartshorne Nov. 11, 2019

Nov. 11, 2019

The laboratories of Joshua Hartshorne and Stefano Anzellotti at Boston College are accepting applications for co-advised graduate students starting in Fall 2019, for collaborative projects focusing on computational modeling of fMRI and other neural data. We are particularly interested in finding a student to work on understanding individual variation in functional connectivity. Applications could be to the neural processing of language, social perception, or other high-level cognitive problems. The application deadline is December 15th. If you have any questions you can contact us at stefano.anzellotti[at]bc.edu. To apply, visit https://www.bc.edu/bc-web/schools/mcas/graduate/admission/apply-now.html

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[meetings] [LM2020] Living Machines 2020 - First call for papers
by Vicky Vouloutsi Nov. 11, 2019

Nov. 11, 2019

Dear colleagues, Please find below the first call for papers, satellite events, and sponsors for the 9th International Conference on Biomimetic and Biohybrid Systems of Living Machines, 28th-31st of July 2020. Apologies for cross-posting but please share this announcement with your colleagues. Looking forward to seeing you in Freiburg, Germany! -------------------------------------------------------------------------------------------------------------------------- *First Call for Papers, Satellite Events and Sponsors* *Living Machines. The 9th International Conference on Biomimetic and Biohybrid Systems* * 28 – 31 July 2020* To be hosted at the Botanical Garden of Freiburg and the Cluster of Excellence livMatS at the University of Freiburg, Germany Accepted papers will be published in *Springer Lecturer Notes in Artificial Intelligence* *Submission deadline: March 23, 2020* http://livingmachinesconference.eu/2020 -------------------------------------------------------------------------------------------------------------------------- *ABOUT LIVING MACHINES 2020* The development of future real-world technologies will depend strongly on our understanding and harnessing of the principles underlying living systems and the flow of communication signals between living and artificial systems. *Biomimetics* is the development of novel technologies through the distillation of principles from the study of biological systems. The investigation of biomimetic systems can serve two complementary goals. First, a suitably designed and configured biomimetic artefact can be used to test theories about the natural system of interest. Second, biomimetic technologies can provide useful, elegant and efficient solutions to unsolved challenges in science and engineering. *Biohybrid* systems are formed by combining at least one biological component—an existing living system—and at least one artificial, newly-engineered component. By passing information in one or both directions, such a system forms a new hybrid bio-artificial entity. The theme of the conference also encompasses biomimetic methods for manufacture, repair, and recycling inspired by natural processes such as reproduction, digestion, morphogenesis, and metamorphosis. The following are some examples of “Living Machines” as featured at past conferences: * Biomimetic robots and their component technologies (sensors, actuators, processors) that can intelligently interact with their environments. * Biomimetic computers—neuromimetic emulations of the physiological basis for intelligent behavior. * Active biomimetic materials and structures that self-organize and self-repair or show other bio-inspired functions. * Nature-inspired designs and manufacturing processes. * Biohybrid brain-machine interfaces and neural implants. * Artificial organs and body-parts including sensory organ-chip hybrids and intelligent prostheses. * Organism-level biohybrids such as robot-animal or robot-human systems. *ACTIVITIES* The main conference will take the form of a *three-day single-track oral* and *poster presentation program*, *28th July to 31st July 2020*, and will be hosted at the Botanical Garden of Freiburg by the University of Freiburg, Germany, and the Cluster of Excellence “Living, Adaptive and Energy-autonomous Materials Systems (livMatS)” (www.livmats.uni-freiburg.de<http://www.livmats.uni-freiburg.de>). The conference program will include *five plenary lectures* from leading international researchers in biomimetic and biohybrid systems, and the demonstrations of state-of-the-art living machine technologies. The full conference will be preceded by up to two days of *Satellite Events* hosted at the University of Freiburg. *SUBMITTING TO LIVING MACHINES 2020* We invite both *full papers* and *extended abstracts* in areas related to the conference themes. All contributions will be refereed and accepted papers will appear in the Living Machines Proceedings, published in the *Springer-Verlag Lecture Notes in Artificial Intelligence*. Full papers (minimum 8 pages, up to 12 pages) are invited from researchers at any stage in their career and should present significant findings and advances in biomimetic or biohybrid research. More preliminary work is better suited for short paper submission (maximum 4 pages, with a maximum of ten references and no more than three self-citations). Full papers will be accepted for either oral presentation (single track) or poster presentation with a short podium preview. Extended abstracts will be accepted for poster presentations only. Authors of the best full papers will be invited to submitted extended versions of their paper for publication in a special issue of the Taylor & Francis journal *Connection Science*. *SATELLITE EVENTS* Active researchers in biomimetic and biohybrid systems are invited to propose topics for full or half-day *tutorials*, *symposia* or *workshops* on related themes to be held on 28. July at the Institute for Biology II/III of the University of Freiburg (http://www.bio.uni-freiburg.de/index-en?set_language=en) Attendance at satellite events will attract a small fee intended to cover the costs of the meeting. There is flexibility about the content, organization, and budgeting for these events. Please contact us if you are interested in organizing a satellite event! *EXPECTED DEADLINES* March 23, 2020: Paper submission deadline May 15, 2020: Notification of acceptance May 25, 2020: Camera-ready copy July 28, 29-31, 2020 Workshops and Conference *SPONSORSHIP* Organizations wishing to sponsor the conference in any way and gain the corresponding benefits by promoting themselves and their products through conference publications, conference events, and conference publicity are encouraged to contact the organizers to discuss the terms of sponsorship and necessary arrangements. We also offer a number of attractive options for potential sponsors. *VENUE* Consistent with the Living Machines’ tradition of choosing historical venues at the crossroads between life and human sciences, this year the conference will take place at the Botanical Garden of Freiburg. Freiburg is considered the gateway to the Black Forest and thanks to its geographical location is blessed with mild weather all year round. The city is over 900 years old and known to be the sunniest city(1,740 hours of sunshine/year) in Germany. Freiburg has a beautiful historical inner city and is home to one of the oldest universities and Botanical Gardens in Germany. The Botanical Garden Freiburg will be celebrating its 400 year anniversary in 2020 and is located in the district Herdern near the Botanical Institute of the University of Freiburg. The Botanical Garden invites visitors to enjoy its wonderful greenery and learn about both plants from all around the world and plant-based biomimetics with its biomimetic educational trail. The trail highlights biomimetic inventions based on plants while providing fascinating insights into underlying biological principles. *CONFERENCE ORGANIZING COMMITTEE* *Thomas Speck* University of Freiburg, Germany (Local Chair) *Paul Verschure* IBEC, BIST, ICREA, CSN Foundation (Co-Chair) *Tony Prescott* University of Sheffield, CSN Foundation (Steering Committee) *Anna Mura* IBEC, BIST Barcelona, CSN Foundation (General Organization) *PROGRAM CHAIR* *Vicky Vouloutsi* IBEC, BIST, Barcelona *COMMUNICATION* *Sonja Seidel* University of Freiburg, Germany *Yulia Sandamirskaya* INI, Zurich Univ. and ETH *WORKSHOPS CHAIR* *Falk Esser* University of Freiburg, Germany *LOCAL ORGANIZERS COMMITTEE* *Thomas Speck* University of Freiburg, Germany *Falk Esser* University of Freiburg, Germany *Sonja Seidel* University of Freiburg, Germany -- Vicky Vouloutsi, PhD Postdoc Researcher at the laboratory for Synthetic Perceptive, Emotive and Cognitive Systems (SPECS<http://specs-lab.com/>) mail: vvouloutsi(a)ibecbarcelona.eu<mailto:vvouloutsi@ibecbarcelona.eu> linkedin<https://www.linkedin.com/in/vicky-vouloutsi-28496133/> researchgate<https://www.researchgate.net/profile/Vasiliki_Vouloutsi> tel: +34 934011913 Aquest correu electrònic conté informació confidencial emparada pel secret professional. Qualsevol reproducció, distribució o divulgació del seu contingut estan estrictament prohibides. Si vostè no és el destinatari, li preguem no faci difusió ni copiï el seu contingut i ens ho notifiqui el més aviat possible a l'adreça dataprotection(a)ibecbarcelona.eu Este correo electrónico contiene información confidencial amparada por el secreto profesional. Cualquier reproducción, distribución o divulgación de su contenido están estrictamente prohibidas. Si usted no es el destinatario, le rogamos no difunda ni copie su contenido y nos lo notifique de inmediato a la dirección dataprotection(a)ibecbarcelona.eu This electronic transmission contains confidential information covered by professional secrecy. Any reproduction, distribution or disclosure of its contents is strictly prohibited. If you are not the intended recipient, you are kindly requested not to disseminate nor to copy this transmission and to notify us as soon as possible by email to dataprotection(a)ibecbarcelona.eu .

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Call for Papers for Journal of Neuroscience Methods Special Issue: Multiscale Modelling and Analysis in Neuroscience
by Wong-Lin, Kongfatt Nov. 11, 2019

Nov. 11, 2019

I am co-editing a Special Issue on Multiscale Modelling and Analysis in Neuroscience in the Journal of Neuroscience Methods. The Special Issue is focused on state-of-the-art: (i) computational modelling techniques; (ii) theoretical, mathematical or numerical methods; (iii) analysis of data; (iv) curation of data; or (v) combinations of the above. For more information, please see: https://www.journals.elsevier.com/journal-of-neuroscience-methods/call-for-… There is an open call for papers for this Special Issue. Both original research and insightful reviews are welcomed. Please contact me or any of the other co-editors if you are interested or have queries. The deadline for submissions is 30th April, 2020. Manuscripts will undergo the normal peer review process as soon as they are submitted. Best, KongFatt Wong-Lin -------------------------- E-mail: k.wong-lin(a)ulster.ac.uk https://www.ulster.ac.uk/staff/k-wong-lin This email and any attachments are confidential and intended solely for the use of the addressee and may contain information which is covered by legal, professional or other privilege. If you have received this email in error please notify the system manager at postmaster(a)ulster.ac.uk and delete this email immediately. Any views or opinions expressed are solely those of the author and do not necessarily represent those of Ulster University. The University's computer systems may be monitored and communications carried out on them may be recorded to secure the effective operation of the system and for other lawful purposes. Ulster University does not guarantee that this email or any attachments are free from viruses or 100% secure. Unless expressly stated in the body of a separate attachment, the text of email is not intended to form a binding contract. Correspondence to and from the University may be subject to requests for disclosure by 3rd parties under relevant legislation. The Ulster University was founded by Royal Charter in 1984 and is registered with company number RC000726 and VAT registered number GB672390524.The primary contact address for Ulster University in Northern Ireland is Cromore Road, Coleraine, Co. Londonderry BT52 1SA

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Computational Neuroscience Research Scientist Faculty Position in Toronto - Krembil Research Institute
by Frances Skinner Nov. 9, 2019

Nov. 9, 2019

Hello all, Please consider applying for the following position. Position: *Computational Neuroscience Research Scientist* Site: Krembil Research Institute/Toronto Western Hospital Department: Research Reports to: Institute Director Status: Permanent Full-time https://www.recruitingsite.com/csbsites/uhncareers/JobDescription.asp?SiteI… The ideal candidate will have a PhD in a relevant field, research expertise and experience in mathematical and computational modeling, and research interests that complement those of the Institute in neurobiology and neurodegeneration. Candidates whose research interests encompass cellular, micro/macro circuits and/or large scale brain models, and who have collaborative experimental experience are especially encouraged. The successful candidate will have the ability to establish an independent, well-funded program and will be eligible for appointment at the appropriate level within the University of Toronto. Qualified applicants are invited to submit their online application (letter of interest, research plan, curriculum vitae), in PDF format as well as complete some initial screening questions. The search committee will begin to review applications in January with a potential start date in Spring/Summer 2020. Please feel free to contact me if you have any questions. -- Frances Skinner, PhD Krembil Research Institute/UHN and Univ Toronto www.skinnerlab.org

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NeuroFedora: ready to use/install ISO for computational neuroscience available
by Ankur Sinha Nov. 8, 2019

Nov. 8, 2019

Hello, The NeuroFedora community is pleased to announce its first deliverable: a ready to use/install Fedora based ISO image that includes a plethora of computational neuroscience software[1]. It currently includes: auryn, bionetgen, calcium-calculator, COPASI, qalculate, getdp, genesis-simulator, gnuplot, moose, nest, neuron, neurord, octave, paraview, python3, brian2, ipython, nest, neuron, libNeuroML, neo, nineml, PyLEMS, smoldyn and the Python science stack: matplotlib, jupyter notebook, numpy, pandas, pillow, scikit-image, scikit-learn, scipy, statsmodels, and sympy. The ISO image is a "live" image and can be used without installing the operating system. It can be obtained here[1] with more information on NeuroFedora available here[2,3]. NeuroFedora is a Free/Open Source Software community based volunteer initiative. We are always looking for more volunteers to help with the work[4]. It is an excellent project for students new to computational neuroscience to learn valuable technical skills while aiding the neuroscience community. Feedback is always welcome. Please get in touch using one of our communication channels[5]. [1] https://docs.fedoraproject.org/en-US/neurofedora/install-media/ [2] https://docs.fedoraproject.org/en-US/neurofedora/ [3] https://neuroblog.fedoraproject.org [4] https://docs.fedoraproject.org/en-US/neurofedora/contributing/ [5] https://docs.fedoraproject.org/en-US/neurofedora/communicating/ On behalf of the NeuroFedora community, -- Thanks, Regards, Ankur Sinha (He / Him / His) | https://ankursinha.in PhD candidate in computational neuroscience at UH Biocomputation | http://biocomputation.herts.ac.uk/ Free/Open source community volunteer at the Fedora project | https://fedoraproject.org/wiki/User:Ankursinha Time zone: Europe/London

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PhD in computational neuroscience, University of Edinburgh
by Matthias Hennig Nov. 6, 2019

Nov. 6, 2019

We invite applications for our fully funded PhD programme in COMPUTATIONAL NEUROSCIENCE and NEUROINFORMATICS at the School of Informatics, University of Edinburgh, for a start in or around September 2020. The studentships are ideal for students who want to apply their computational and analytical skills to problems in neuroscience and related fields. The following supervisors have openings: Douglas Armstrong: Molecular neuroinformatics, network models, behavioural models, molecular drug design. Angus Chadwick (joining early 2020): Visual and spatial processing, network dynamics, neural data analysis. Matthias Hennig: Learning and homeostasis, analysis of large-scale electrophysiological recordings. Arno Onken: Probabilistic models, dimensionality reduction, information theory. Peggy Seriès: Bayesian approaches to cognition and perception, computational psychiatry. Ian Simpson: Regulatory genomics, developmental disorders. Barbara Webb: Perceptual systems for the control of behaviour, robot models of animals. The PhD project can be done in collaboration with one of the many affiliated departments and institutes. Edinburgh has been voted as 'best place to live in Britain', and has many exciting cultural and student activities. Students with a strong background in either computer science, mathematics, physics or engineering are particularly welcome to apply. Motivated students with other backgrounds will also be considered. For more information, see: http://web.inf.ed.ac.uk/anc/research/neuroscience There is no fixed deadline, but applications completed by 29 Nov 2019 will be considered in a first round, with decisions expected by late January 2020. -- The University of Edinburgh is a charitable body, registered in Scotland, with registration number SC005336.

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Competition funded PhD position on computational sensorimotor control @ U of Birmingham and U of Warwick
by Sang-Hoon Yeo Nov. 6, 2019

Nov. 6, 2019

Title: The integration of visually-guided interception with balance Supervisors: Dr R Reynolds (Bham), Dr Sang-Hoon Yeo (Bham) and Prof James Tresilian (Warwick) Type: Competition Funded PhD Project (European/UK Students Only) Project Description Control of fast interceptive movements is the highlight of human sensorimotor behaviour, whose flexibility and adaptability far surpasses that of any existing robot. The neural control mechanism of interceptive movement remains elusive. For example, when an object that we are reaching for moves unexpectedly, the hand is ‘magnetically’ drawn towards the new object location. These trajectory adjustments occur within a remarkably short latency (<100ms), do not require conscious awareness of the change, and may rely upon sub-cortical neural circuitry[1]. We have demonstrated that this exceptionally fast visuomotor system also controls the lower limb when attempting to step onto a moving target [2]. However, when standing, such automatic adjustments may threaten balance, which is also largely controlled by sub-cortical brain circuitry. For example, reaching for a moving object (e.g. catching a ball), causes a concomitant shift of the centre of mass which disturbs the balance, but we rarely fall. The apparently contradictory requirements of reaching and balancing must therefore be somehow seamlessly integrated at a low neural level. Staying upright in the face of such self-imposed perturbations is natural for humans, but we still do not understand the underlying mechanism(s). For example, attempts to implement such control into bipedal robots often leads to catastrophic falls (see DARPA challenge https://bit.ly/1Il2QVS) This failure to coordinate interception and balance can also lead to human falls as a result of neural degeneration (e.g. ageing). We plan to investigate the integration of these two systems, balance and interception, at both a behavioural and neural level, to address the following questions: How are balance and visually-guided interception integrated, and what are the limits of this process? What neural circuitry underlies this integration? How does normal ageing affect the integration process, and what are the consequences for fall risk? We will address these questions using a combination of techniques from Biomechanics, Neurophysiology and Robotics. To study the integration of balance and interception we will use virtual reality to present visual interception targets. This will allow us to subtly manipulate the relationship between hand and target motion [3]. Limb trajectory will be recorded using motion capture and processed in real-time to manipulate visual feedback. Balance will be simultaneously assessed by measuring ground reaction forces and full-body motion capture. The limits of the integration process (i.e. when do you fall?) will first be tested in young healthy individuals. To understand the neural circuitry we will use Transcranial Magnetic Stimulation (TMS)[4], Electromyography and H-reflexes. These techniques will allow us to determine the relative contribution of cortical and sub-cortical brain areas to these behaviours. This, in turn, will also have relevance for understanding rehabilitation of balance following brain injury. Finally, we will study older adults. This will determine the extent to which the ability to combine interception and balance is compromised by the ageing process, and the relevance for fall risk. Funding Notes This project is funded by the Midlands Integrative Biosciences Partnership. MIBTP is a BBSRC funded Doctoral Training Partnership between the University of Warwick, the University of Birmingham, the University of Leicester and Aston University and Harper Adams University. Successful candidates will start in October 2020. Candidates can apply via the MIBTP website (Weblink coming here soon) but are strongly encouraged to contact Raymond Reynolds for further information prior to applying (r.f.reynolds(a)bham.ac.uk) References 1. B.L. Day, P. Brown, Evidence for subcortical involvement in the visual control of human reaching, Brain. 124 (2001) 2. R.F. Reynolds, B.L. Day, Rapid visuo-motor processes drive the leg regardless of balance constraints, Curr. Biol. 15 (2005). 3. S.H. Yeo, D.W. Franklin, D.M. Wolpert, When Optimal Feedback Control Is Not Enough: Feedforward Strategies Are Required for Optimal Control with Active Sensing, PLoS Comput. Biol. 12 (2016). 4. W. Marinovic, C.S. Reid, A.M. Plooy, S. Riek, J.R. Tresilian, Corticospinal excitability during preparation for an anticipatory action is modulated by the variability of visual information, J. Neurophysiol. 105 (2011).

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Call for PhD positions in Computational Neuroscience|Cognitive Science| Psychology|Neurophysics @ IMPRS NeuroCom
by Martin Bogdan Nov. 6, 2019

Nov. 6, 2019

***Call for applications The International Max Planck Research School on Neuroscience of Communication: Function, Structure, and Plasticity (IMPRS NeuroCom) offers several positions for excellent students holding a master's degree (or equivalent) to perform research resulting in a PhD in the field of Cognitive Neuroscience and Neurophysics. The IMPRS NeuroCom is based at the Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig and Leipzig University and also involves the Max Planck Institute for Evolutionary Anthropology, Leipzig, and the Institute of Cognitive Neuroscience at the University College London, UK. ****Deadline for applications is 10 November 2019. Interviews will take place in January 2020. Starting date is flexible, but not later than autumn 2020. The IMPRS NeuroCom aims to recruit and educate motivated, independent, self-organized young scientists who wish to extend their knowledge and research experience in a structured 3-year PhD program, in order to pursue a successful career in cognitive neuroscience, clinical neuroscience, or neurophysics. The school is intended for students holding an excellent master's degree (or equivalent) in a wide spectrum of potential disciplines such as cognitive neuroscience, psychology, medicine, neurobiology, linguistics, computer science, engineering, mathematics, physics, biochemistry, or related fields. The university degree should be awarded by an internationally recognized university-level institution. Students near the completion of their master’s degree are also eligible to apply. Research experience in an area that is related to the graduate school’s scope is essential for successful candidates. Proficiency in oral and written English is mandatory. The IMPRS NeuroCom offers its doctoral students outstanding research opportunities in a very international and multidisciplinary environment with access to state-of-the-art cognitive and imaging neuroscience equipment, e.g. 7T MRI scanner, four 3T MRI scanners including a “connectome scanner” equipped with ultrastrong gradients (one of only three world-wide), a 306 channels MEG system, several TMS, TDCS, NIRS, and EEG systems. Applications will be evaluated by IMPRS NeuroCom faculty members. Interview selection is based on academic qualifications, personal references, research experience and interests, and suitability to the program. The Max Planck Society is an equal opportunity employer and is committed to increasing the number of individuals with disabilities in its workforce and therefore encourages applications from such qualified individuals. Payment is based on the guidelines of German public service pay scale (TVöD). For more information about our graduate school please visit: http://imprs-neurocom.mpg.de/home/ Please see http://imprs-neurocom.mpg.de/home/applications for details and use http://imprs-neurocom.mpg.de/home/applications/how-to-apply/registration-fo… for your application. For further information please contact Dr Veronika Krieghoff: vkrieghoff(a)cbs.mpg.de -- ************************************************************************** Prof. Dr. Martin Bogdan Institut für Informatik Technische Informatik Universität Leipzig Augustusplatz 10 D-04109 Leipzig Germany ************************************************************************** Denken Sie selbst, sonst tuen es Maschinen für Sie! 'Nihil est ab omni parte beatum' (Horaz) El problema de la humanidad es que los estúpidos están seguros de todo y los inteligentes están llenos de dudas **************************************************************************

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Research Fellow in Computational Neuroscience, University of Warwick, UK
by Timofeeva, Yulia Nov. 6, 2019

Nov. 6, 2019

Research Fellow in Computational Neuroscience Department of Computer Science, University of Warwick, UK Fixed Term Contract for 3 years from 1 January 2020. The appointee will work on a project funded by the MRC that aims to develop and implement a mechanistic modelling framework for studying regulation of synaptic transmitter release in health and disease. This project will be led by Dr Yulia Timofeeva with the co-applicant Prof Kirill Volynski (UCL Queen Square Institute of Neurology, London) and in close collaboration with a number of world-leading experimental laboratories working in the field of synaptic transmission and information processing in the brain, that are located in Europe, USA, Canada and Japan. The successful candidate should have a PhD, or equivalent, in applied mathematics/theoretical physics/computer science or a related discipline and should have excellent skills in scientific computing. Previous experience of research in computational biology or neuroscience is desirable. The working environment will be in the Mathematical Science Building, in the Zeeman Institute for Systems Biology & Infectious Disease Epidemiology Research (SBIDER, https://warwick.ac.uk/fac/cross_fac/zeeman_institute/) For further details see https://www.dcs.warwick.ac.uk/~yulia/job_102287_109.html https://warwick.ac.uk/fac/sci/dcs/jobs/ Deadline for applications: 21 November 2019 -- __________________________________________ Dr Yulia Timofeeva Associate Professor Department of Computer Science and Centre for Complexity Science Warwick, UK Honorary Associate Professor UCL, Institute of Neurology London, UK Tel: 024 765 73786 http://www.dcs.warwick.ac.uk/~yulia/ __________________________________________

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Assistant Professor position available in Cognitive Sciences at the University of California, Irvine
by Jeff Krichmar Nov. 5, 2019

Nov. 5, 2019

Dear Colleagues, We are accepting applications for an Assistant Professor position in Cognitive Sciences at the University of California, Irvine up until December 1st, 2019. The Department of Cognitive Sciences has a long history of combining a wide range of experimental methods with computational modeling at multiple levels. UCI is consistently recognized as a trailblazer in a broad range of fields, garnering national and international honors in every school. Please consider applying. The official job posting is below: The Department of Cognitive Sciences at the University of California, Irvine (UCI) invites applications for an assistant professor (tenure-track) position with an expected start date of July 1, 2020. We are seeking scientists who study learning, memory, decision making, and related topics with behavioral, developmental, computational, artificial intelligence, or neuroimaging methods. Of particular interest are cognitive scientists who combine an empirical research program with innovative quantitative analysis or computational modeling. The successful candidates will interact with a dynamic and growing community in cognitive, computational, and neural sciences within the department (http://www.cogsci.uci.edu/) and the broader campus. Interested candidates can find specific application requirements and the online application at: https://recruit.ap.uci.edu/JPF05668. To ensure full consideration, applications must be completed by December 1, 2019. The University of California, Irvine is an Equal Opportunity/Affirmative Action Employer advancing inclusive excellence. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, protected veteran status, or other protected categories covered by the UC nondiscrimination policy. As a recipient of an NSF ADVANCE award for gender equity, UCI understands the needs of dual career couples, supports work-life balance through an array of family-friendly policies, and is dedicated to broadening participation in higher education. As a Minority Serving Institution, UCI seeks future faculty who will contribute to our enduring commitment to inclusive excellence and serve as role models. Best regards, Jeff Krichmar Department of Cognitive Sciences 2328 Social & Behavioral Sciences Gateway University of California, Irvine Irvine, CA 92697-5100 jkrichma(a)uci.edu http://www.socsci.uci.edu/~jkrichma

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5 year PhD Interdisciplinary Neuroscience PhD Program, Tuebingen
by Peter Dayan Nov. 5, 2019

Nov. 5, 2019

The Max Planck Institute for Biological Cybernetics and the University of Tübingen invite students from all over the world to apply for their interdisciplinary 5-year PhD program leading to a PhD in Neuroscience. Full funding will be available for top-ranked applicants. We are seeking talented, curious and open-minded young scientists with strong backgrounds in neuroscience, biomedical sciences, computational science, applied mathematics, statistics, artificial intelligence, or engineering. Successful candidates will possess a burning ambition to shape the future of neuroscience and the ability to thrive in a fast-paced, interdisciplinary, environment. The application deadline is December 15, 2019. Please visit: https://www.kyb.tuebingen.mpg.de/phd-program for more details and information about applying. The PhD program is a collaboration between the Max Planck Institute for Biological Cybernetics and the University of Tübingen. It is closely affiliated with the renowned Graduate Training Centre of Neuroscience, the centerpiece of neuroscience training in Tübingen. Students (who should have been awarded a Bachelor's degree by September 2020) will receive a broad interdisciplinary training in neuroscience, including expert teaching by international renowned scientists and individual and intensive mentoring. Potential research topics cover a variety of fields in systems neuroscience, cognitive and behavioral neuroscience, computational neuroscience, translational and clinical neuroscience as well as cellular and molecular neuroscience. Teaching and research are conducted in English.

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Two PhD/Postdoc positions in theory of neuromorphic computing, Groningen, Netherland
by Herbert Jaeger Nov. 5, 2019

Nov. 5, 2019

In the group of Herbert Jaeger two fully funded positions are open for PhD students (4 year contract) or Postdocs (3 year contract). Both positions are about formal, theoretical analyses and algorithmic models of „neuromorphic“ computing in non-digital hardware (analog, unclocked, spiking microchips or even unconventional material substrates exhibiting relevant nonlinear dyanmical phenomena). Herbert Jaeger’s group is embedded in the Groningen Cognitive Systems and Materials Center (CogniGron, https://www.rug.nl/research/fse/cognitive-systems-and-materials/?lang=en) CogniGron, founded in 2018, is an interdisciplinary initiative at the intersection of computer science, AI, machine learning, computational neuroscience and material science. With 10 new professorships and 30 PhD stipends, CogniGron stands out as one of the most visible scientific investments in the Netherlands in recent times. The *first position* is defined within the European H2020 project „Memory technologies with multi-scale time constants for neuromorphic architectures (MeM-Scales)“, whose central objective is to build (analog, spiking) neuromorphic microchips which can adapt to online input signals which display several or even many timescales. Since microchip physics will deliver only a few physical timescales, collective computational phenomena will have to be explored in order to realize the long-range memory timescales required by many tasks. Since at this point, numerous but hardly explored options are "in the air" for computational timescale management, this position offers much freedom to engage in original work. The *second position* is funded through university budgets and is independent of specific project demands. The position holder will enjoy unusual freedom, paired with intellectual risk, to contribute to the ultimate scientific goal of Jaeger’s group: a unifying formal theory of information processing in nonlinear dynamical systems - regardless of whether they are similar to biological brains, or rest on non-neural dynamical phenomena in novel material substrates. Obviously, such a unifying theory, which would play for neuromorphic computing a similarly central role as Turing computability theory plays for digital computing, is not in sight and may be even not possible. However, many mini-revolutions in mathematical description formats are possible, and needed. Each position will be filled by either a PhD student with a 4-year contract, or by a Postdoc with a 3-year contract. The only selection criterion is qualification (product of intellectual audacity, analytical thinking power, and relevant mathematical and factual knowledge). Groningen is a beautiful and welcoming city, the university sits in the top 100 in virtually all global ranking lists, and the salary is highly competitive. More detail can be found in the official job announcements on the website of the University of Groningen: First position: https://www.rug.nl/about-us/work-with-us/job-opportunities/?details=00347-0… (PhD version) https://www.rug.nl/about-us/work-with-us/job-opportunities/?details=00347-0… (Postdoc version) Second position: https://www.rug.nl/about-us/work-with-us/job-opportunities/?details=00347-0… (PhD version) https://www.rug.nl/about-us/work-with-us/job-opportunities/?details=00347-0… (Postdoc version) Please apply for at most one of these formal job announcements, following the instructions given at these weblinks. For pre-application inquiries please contact me directly by email (h.jaeger(a)rug.nl) Applications received before December 1 will be given full consideration; however, the positions will remain open until filled. The earliest (and desirable) starting date for both positions is January 1, 2020. -- Dr. Herbert Jaeger Professor of Computing in Cognitive Materials Rijksuniversiteit Groningen Faculty of Science and Engineering - CogniGron Bernoulliborg Nijenborgh 9, 9747 AG Groningen web: minds.jacobs-university.de

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Open position: MIT, Co-instructor and education support coordinator in computational neuroscience
by Ila Fiete Nov. 5, 2019

Nov. 5, 2019

Dear Colleagues, I would appreciate if you would pass along to appropriate candidates the following advertisement for an open position for a Co-instructor and education support coordinator in computational neuroscience at MIT. Apologies if you receive multiple postings. Best wishes, Ila Fiete ------------------------------------------------ COMPUTATION COURSE CO-INSTRUCTOR AND EDUCATION SUPPORT COORDINATOR, MIT Brain and Cognitive Sciences, to support the development and instruction of computational courses (85%) and provide assistance to the department as a whole on enhancing and evaluating the quality of its undergraduate course offerings (15%). The goal will be to integrate computational thinking skills across the Course 9 curriculum and in the new Computation and Cognition (Course 6-9) curriculum, and provide innovative training in the areas of computational neuroscience, neuroengineering, and human and machine intelligence. The main responsibility will be to develop learning content for MIT students in these areas, including instructional videos, tutorials, problem sets, demonstrations of basic neuroscience and data analysis methods. Will hold office hours and give in-class lectures as appropriate and provide feedback and guidance before and after a course launches to ensure a high-quality learning experience. Will also provide support to the department in enhancing and evaluating the undergraduate program broadly, including assisting with website content (e.g., videotapes of classroom instruction, faculty/student interactions, etc.) and coordinating with the Teaching and Learning Laboratory to evaluate the efficacy of the department’s approaches to improving undergraduate education; and perform other duties as requested. Job Requirements REQUIRED: Ph.D. in neuroscience, bioengineering, computational cognitive science or related/equivalent area; at least one year of teaching experience; proficiency with MATLAB and Python; excellent communication skills; and a demonstrated commitment to undergraduate education. Web publishing experience a plus; as is knowledge of Dreamweaver, Photoshop, InDesign, Fetch, and HTML coding. Job #17993. Link: https://careers.peopleclick.com/careerscp/client_mit/external/jobDetails/jo…

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Data Scientist Position at Boston University
by Chen, Jerry Nov. 5, 2019

Nov. 5, 2019

The Lab of Jerry Chen at Boston University is hiring a Data Scientist to be involved in several multi-year BRAIN Initiative related NIH and NSF funded projects. These projects focus on understanding cortical computation during behavior by combining large-scale population recordings, anatomical reconstructions, and transcriptional profiling as well as developing tools for large-scale and high-speed imaging of neuronal populations. This person will be involved in help to analyze experimental data, developing software tools to aid in the data analysis, and helping with data infrastructure and management. Specific Projects include: 1. Analysis of dense electron microscope reconstructions of neuronal connectivity (ie. Connectomics) 2. Establishing pipeline for image analysis for in situ sequencing of gene expression 3. Establishing pipeline for automated behavioral training and analysis. 4. Visualization and analysis of population imaging data across multiple brain areas during behavior. This person will be jointly involved and mentored by personnel from the Hariri Institute's Software & Application Innovation Lab (SAIL), a center with expertise in cutting-edge computational and data-driven research with tangible and direct impacts on academic research, public service, and industry partners in healthcare, finance, and technology. Qualifications: BA/BS degree (MA or PhD preferred) in Computer Science, Mathematics, Engineering, Neuroscience or related technical field. One to three years of academic or professional experience. Programming experience in MATLAB is required. Additional experience in Python, C++, or LABView is preferred. Extensive background in either computational neuroscience, image analysis, computer vision, or machine learning is preferred. If interested in applying, please submit a CV along with 3 references to jerry(a)chen-lab.org<mailto:jerry@chen-lab.org>.

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Post-doc on modeling neural circuit dynamics and homeostasis
by Jochen Triesch Nov. 4, 2019

Nov. 4, 2019

A 2-year post-doc position on modeling neural circuit dynamics and homeostasis is available at the Frankfurt Institute for Advanced Studies (https://fias.uni-frankfurt.de/en/) The project aims at better understanding how different plasticity mechanisms maintain neural circuits in healthy activity regimes suitable for information processing and how these mechanisms may break down in certain network disorders. We are also interested the role of non-neuronal cell types in the process. The project is jointly lead by Prof. Jochen Triesch and Prof. Peter Jedlicka. The successful candidate will have the possibility to work closely together with experimental labs from Frankfurt’s vibrant Neuroscience community. The project is funded through Frankfurt’s new Center for Personalized Translational Epilepsy Research (CePTER). Applications (single pdf file including CV, list of publications, statement of research interests and names and email addresses of three references) should be sent to jedlicka(a)em.uni-frankfurt.de and triesch(a)fias.uni-frankfurt.de. The ideal candidate will have obtained a PhD/Master Degree in Computational Neuroscience or closely related field and have a strong interest in applying their knowledge to problems of medical relevance. A strong background in either neural mass models or spiking neural network models or compartmental modeling is expected. Experience in modeling epilepsy, neural plasticity and neuroimmune interactions is a plus. Review of applications will begin immediately and continue until the position has been filled. -- Prof. Dr. Jochen Triesch Johanna Quandt Research Professor Frankfurt Institute for Advanced Studies http://fias.uni-frankfurt.de/~triesch/ Tel: +49 (0)69 798-47531 Fax: +49 (0)69 798-47611

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Ten Years Reproducibility Challenge / ReScience special issue
by Nicolas Rougier Nov. 4, 2019

Nov. 4, 2019

Dear all, We’ve just launched the "Ten Years Reproducibility Challenge” whose goal is to try to compile & run your old code (> 10 years) that accompanied one of your published article or preprint (details below). More information at: https://github.com/ReScience/ten-years/ Deadline for submission: 01/04/2020 Nicolas Rougier --- Did you ever try to run an old code that you wrote for a scientific article you published years ago? Did you encounter any problems? Were you successful? We are curious to hear your story. This is the reason why we are editing a special issue of ReScience to collect these stories. The ten years reproducibility challenge is an invitation for researchers to try to run the code they've created for a scientific publication that was published more than ten years ago. This code can be anything (statistical analysis, numerical simulation, data processing, etc.), can be written in any language and can address any scientific domain. The only mandatory condition to enter the challenge is to have published a scientific article before 2010, in a journal or a conference with proceedings, which contains results produced by code, irrespectively of whether this code was published in some form at the time or not. Note that we do not ask you to write a new version of your old code. We ask you instead to try to make your old code to run on modern hardware/software (with minimal modifications) in order to check if you can obtain the exact same results that were publised at least ten years ago. Sounds easy? We have good reasons to think this might be more difficult than you think. And maybe the first problem you'll have to solve is to find your own source code. More information at: https://github.com/ReScience/ten-years/

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COMPUTATIONAL NEUROSCIENCE MODELER FOR PAIN PROJECT
by Hugo-Geerts＠In-Silico-Biosciences.com Nov. 3, 2019

Nov. 3, 2019

Do you want to make a difference in the life of patients suffering from chronic pain? Are you motivated to help solving the opioid epidemic? In Silico Biosciences (www.in-silico-biosciences.com) a pioneer in Quantitative Systems Pharmacology (QSP) for R&D in CNS diseases has openings for computational neuroscientists. The fully funded European Pain project (duration 3.5 years with start in early 2020) aims to develop an actionable biophysically realistic computer model of the relevant human neuronal circuits for analgesia, sedation, cognitive impairment, and substance abuse liability for opioids. These models will be integrated in an existing QSP platform for the introduction of approved therapeutic medications based on their pharmacological properties for combination therapy. The models will be developed based on preclinical knowledge combined with human neurophysiology and imaging studies of relevant neuronal circuits, will be calibrated using biomarkers and therapeutic interventions in human patients and predictions will be tested in preclinical models and in clinical studies. This is an unique opportunity to work in a world-class multi-disciplinary consortium ranging from preclinical studies over computer modeling of pharmacological interventions to clinical studies and at the same time pursuing a meaningful outcome for patients. The platform is based on NEURON software. The positions are at both post-doc and graduate student level, with the opportunity to pursue a PhD and can be embedded in the Leiden-Amsterdam Center for Drug Research in Leiden, the Netherlands. However, alternative locations and flexible remote working arrangements can be considered depending on individual circumstances. Salary is commensurate with experience. Please send your CV, covering letter and the names of two references to Hugo-Geerts(a)In-Silico-Biosciences.com

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15 funded PhD Positions in Neuroscience | IMPRS for Brain and Behavior
by Ezgi Bulca Oct. 31, 2019

Oct. 31, 2019

15 fully-funded PhD Positions in Neuroscience | IMPRS (International Max Planck Research School) for Brain and Behavior Bonn, Germany & Jupiter, Florida (USA) Looking for a PhD position in neuroscience? Apply to our fully-funded, international PhD program in the Max Planck Society! IMPRS for Brain and Behavior is a transatlantic collaboration between the Max Planck associated caesar in Bonn and the University of Bonn, along with the USA partners Max Planck Florida Institute for Neuroscience (MPFI) and Florida Atlantic University. The Projects More than 40 labs with an enormous variety of research projects are seeking outstanding PhD candidates to join their research. See our website (https://www.imprs-brain-behavior.org/research/faculty/) for further information on our faculty and possible doctoral projects. Successful candidates will work in a young and dynamic, interdisciplinary, international environment, embedded in the local scientific communities in Bonn or Jupiter. Your Profile Highly qualified and motivated aspiring PhD student from any nationality. Proven track record of academic and research excellence. Bachelor's or Master's degree (or equivalent) in life sciences, physics, mathematics, computer science, engineering, or other relevant subject. Fluency in written and spoken English. Research experience is of advantage. Our Offer Immersion in a stimulating scientific culture of interaction and international cooperation. State-of-the art facilities with novel scientific technologies and advanced infrastructure. Dedicated support and mentoring personnel. Competitive salary funded for the whole duration of studies and no tuition fees. We are committed to diversity and equal opportunity for all applicants. Application deadline: December 1, 2019 https://www.imprs-brain-behavior.org/admissions/application-info/ You will need: CV, letter of motivation, contact info for 2 referees, academic certificates and transcripts. Only online applications accepted. Short-listed candidates will be interviewed in February-March. Positions must be started within 6 months of selection. All the best, Ezgi Bulca Ezgi Bulca IMPRS for Brain & Behavior Coordinator phone +49/228/9656-318 e-mail: ezgi.bulca(a)caesar.de<mailto:ezgi.bulca@caesar.de> www.imprs-brain-behavior.mpg.de research center caesar center of advanced european studies and research an associate of the Max Planck Society Ludwig-Erhard-Allee 2 53175 Bonn, Germany www.caesar.de<http://www.caesar.de/>

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CFP: 3rd Conference of Consciousness Research Network at NYU Shanghai
by Ryota Kanai Oct. 30, 2019

Oct. 30, 2019

Conference dates and venue: April 3-5, 2020, NYU Shanghai, Rooms 1502-1505 CFP deadline: December 15, 2019 Result notification: January 31, 2020 Consciousness Research Network (CoRN <https://www.conresnet.org/>) is a network that aims at connecting researchers in the fields of philosophy, neuroscience, psychology, cognitive science, biology, and related fields to deepen our understanding of the nature of consciousness. It also seeks to facilitate collaborations on interdisplinary projects. The 1st and 2nd conferences of CoRN were held in Taipei (November 2017) and Okazaki (January 2019), and were huge successes. We would like to invite submissions of abstracts to be presented at the 3rd Meeting of CoRN to be held April 3-5 at NYU Shanghai. Please submit an abstract no longer than 300 words to the submission site <https://www.conresnet.org/abstract-submission8203.html>. Submissions will be refereed and selected as talks or posters based on quality and relevance to CoRN. If you have any questions about the conference, please contact Lu Teng at lt77(a)nyu.edu Here is a list of confirmed speakers: Tim Bayne (Monash University, Australia) Domenica Bueti (SISSA – International School for Advanced Studies, Italy) Acer Chang (Araya, Inc., Japan) Amit Chaturvedi (University of Hong Kong, Hong Kong) Juan Chen (South China Normal University, China) Tony Cheng (National Chengchi University, Taiwan) Colin Klein (Austrialian National University, Australia) Sze Chai Kwok (East China Normal University, China) Luo Liang (Beijing Normal University, China) Ying-Tung Lin (National Yang-Ming University, Taiwan) Kengo Miyazono (Hiroshima University, Japan) Pengmin Qin (South China Normal University, China) Shinsuke Shimojo (Caltech, USA) Chen Song (Cardiff University, UK) Lu Teng (NYU Shanghai, China) Xiaohong Wan (Beijing Normal University, China) Masataka Watanabe (The University of Tokyo, Japan) Makiko Yamada (QST, Japan) Xilin Zhang (South China Normal University, China) Local organizing committee: Acer Chang (Araya, Inc., Japan) Ryota Kanai (Araya, Inc., Japan) Sze Chai Kwok (East China Normal University) Lu Teng (NYU Shanghai)

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Postdoctoral positions in invasive human neurophysiology (Dr. Pouratian’s lab)
by Mahsa Malekmohammadi Oct. 30, 2019

Oct. 30, 2019

Three postdoctoral research positions are immediately available at the UCLA Neurosurgical Brain Mapping and Restoration Lab (NBMRL), under the direction of Dr. Nader Pouratian in the UCLA Department of Neurosurgery. We are seeking individuals with interest in any of the following areas: (1) pathophysiology of Parkinson disease (2) therapeutic mechanisms of deep brain stimulation (3) network basis of anesthesia and consciousness (4) biophysics of visual cortex stimulation. These NIH-funded positions are outstanding opportunities to receive training and develop innovative research projects in a highly productive and cutting-edge research program. The successful candidates are expected to be team players and collaborate closely with other team members (both within UCLA and across our collaborative multi-site network) to develop and validate data acquisitions and behavioral testing and advanced image and signal analyses and interpretation. The candidates are also expected to report, through oral presentation and written reports/papers, algorithms and experimental findings. In addition, opportunities to develop research proposals under direct mentorship from the PI will be provided. Candidates with a Ph.D. in Computational Neuroscience, Engineering, Physics, Mathematics or Data Science, an excellent research record, and a drive to work independently and collaboratively to solve conceptual and computational challenges are encouraged to apply. A strong quantitative and theoretical skillset is a must, prior experience in biomechanical modeling, cognitive sciences or neuroscience, and a background in relevant modeling and analysis of behavioral or neurophysiological data are a plus. Excellent written and oral English communication skills and proven ability to conduct high-quality research evidenced by first-author publications are required. Previous experience with human scalp-or intracranial EEG, animal intracranial electrophysiology, or advanced MRI analysis is preferred. Interested candidates should contact *Dr. Nader Pouratian* at *npouratian(a)mednet.ucla.edu <npouratian(a)mednet.ucla.edu>* and submit a letter of interest, CV, and at least 2 references. -- *Mahsa Malekmohammadi, PhD* Visiting Assistant Professor Department of Neurosurgery University of California, Los Angeles 300 Stein Plaza, Suite 562 Los Angeles, CA 90095 Email: mmalekmohammadi(a)mednet.ucla.edu Office: (310) 206-9187

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an educational review on time delay systems
by Claudius Gros Oct. 30, 2019

Oct. 30, 2019

Dear All Time delays are ubiquitous in the brain. To this regard we would like to point out a new introductory review, Chaos in time delay systems, an educational review by H. Wernecke, B. Sandor, C. Gros Physics Reports 824, 1-40 (2019). https://www.sciencedirect.com/science/article/abs/pii/S0370157319302601 abstract -------- The time needed to exchange information in the physical world induces a delay term when the respective system is modeled by differential equations. Time delays are hence ubiquitous, being furthermore likely to induce instabilities and with it various kinds of chaotic phases. Which are then the possible types of time delays, induced chaotic states, and methods suitable to characterize the resulting dynamics? This review presents an overview of the field that includes an in-depth discussion of the most important results, of the standard numerical approaches and of several novel tests for identifying chaos. Special emphasis is placed on a structured representation that is straightforward to follow. Several educational examples are included in addition as entry points to the rapidly developing field of time delay systems. table of contents ----------------- 1 Introduction 1.1 Time delays in theory and nature 1.2 Outline 1.3 States and state histories 1.4 Lyapunov exponents 1.4.1 Local Lyapunov exponents 1.4.2 Global and maximal Lyapunov exponents 1.4.3 Global Lyapunov exponents for maps 1.5 Educational example: Stability of a fixed point 1.5.1 Analytic ansatz for local Lyapunov exponents 1.5.2 Euler map 2 Types of time delay systems 2.1 Single constant time delay 2.2 Multiple constant time delays 2.3 Time-varying delay 2.4 State-dependent delay 2.5 Conservative vs. dissipative delay 2.6 Distribution of delays 2.7 Reducible time delay systems 2.8 Neutral delay systems 2.9 Networks with delay coupling 2.10 Long time delays 3 Characterizing the dynamics of time delay systems 3.1 Fixed points 3.2 Types of chaotic motion 3.2.1 Delay induced chaos 3.2.2 Partially predictable chaos 3.2.3 Weak and strong chaos 3.2.4 Intermittent and laminar chaos 3.2.5 Transient chaos 3.3 Lyapunov spectrum 3.4 Lyapunov prediction time 3.5 Phase space contraction rate 3.6 Poincaré section 3.7 The power spectrum of attractors 3.8 The dimension of attractors 3.8.1 Mori dimension 3.8.2 Kaplan-Yorke dimension 3.8.3 Fractal dimension 3.8.4 Correlation dimension 3.9 Binary tests for identifying chaos 3.9.1 Cross-distance scaling exponent 3.9.2 Gottwald-Melbourn test 3.10 Space-time interpretation of time delay systems 4 Numerical treatment 4.1 Numerical integration 4.1.1 Euler algorithm 4.1.2 Euler integration as a discrete map 4.1.3 Explicit Runge-Kutta algorithms 4.2 Lyapunov exponents 4.2.1 Maximal Lyapunov exponent from two diverging trajectories 4.2.2 Benettin’s algorithm 4.2.3 Extracting Lyapunov exponents from the Euler map 5 Conclusions ### ### Prof. Dr. Claudius Gros ### http://itp.uni-frankfurt.de/~gros ### ### Complex and Adaptive Dynamical Systems, A Primer ### A graduate-level textbook, Springer (2008/10/13/15) ### ### Mageia, das Buch der Farben ### http://www.buchderfarben.de ### ### Life for barren exoplanets: The Genesis project ### https://link.springer.com/article/10.1007/s10509-016-2911-0 ###

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