- Comp-neuro - lists.cnsorg.org

PhD position in (Hearing-Impaired) Auditory Signal Processing at Ghent University (BE)

by Sarah Verhulst

Dear List, We invite applications for a 4-year PhD position at the Hearing Technology Lab, Dept of Information Technology, Ghent University. Evaluation of the applications starts June 15th and continues until the position is filled (starting date Oct 2018 or earlier if preferred). The PhD position is part of the ERC project RobSpear: “Robust Speech Encoding in Impaired Hearing” that takes an interdisciplinary approach (combining auditory models with EEG, psychoacoustics and machine-learning) to study sound processing in listeners with impaired hearing. You will be part of an international team of researchers with different backgrounds to develop signal-processing strategies for hearing aids of the future. Aside from signal-processing, behavioral sound perception and/or EEG experiments with normal and hearing-impaired listeners is expected as part of this project. The Hearing Technology lab of Prof. Verhulst offers an international research environment and access to world-class research facilities (waves.intec.ugent.be/hearing-technology and gasp.ugent.be). Funding is available for 4 years provided positive intermediate evaluations. Applicants should hold an academic university degree (Masters or equivalent) in Engineering (Electrical, Acoustical, Biomedical), (Engineering) Physics, Mathematics, Informatics. Coding skills (Python, Matlab) and digital signal processing knowledge are required, experience with auditory modeling, sound applications, machine learning are a big plus. Excellent written and oral English skills are required and knowledge of the Dutch language a plus. Experience with writing scientific papers is a plus. Applications including a CV, motivation letter, copies of higher-education degrees, grade transcripts and the name and contact details of two persons who are willing to give a reference should be sent electronically to: isabelle.vanderelstraeten(a)ugent.be<mailto:isabelle.vanderelstraeten@intec.ugent.be>. Please mention “PhD vacancy hearing” in the subject line. Inquiries about the position can be directed to Prof. Verhulst (s.verhulst(a)ugent.be)<mailto:s.verhulst@ugent.be)>. Kind Regards, Sarah Verhulst --- Sarah Verhulst Associate Professor T +32 9 33 14 844 Dept. Information Technology Waves Technology Campus, iGent, Technologiepark 15, 9052 Zwijnaarde (BE) T secretariaat +32 9 264 33 21 / F +32 9 264 35 93 www.ugent.be<https://www.ugent.be/> www.waves.intec.ugent.be e-maildisclaimer<https://helpdesk.ugent.be/e-maildisclaimer.php>

May 17, 2018

The 2nd International Neural Dynamics Summer School 2018 - application deadline 15th June 2018

by Tsaneva-Atanasova, Krasimira

The 2nd International Neural Dynamics Summer School 2018 Experience experimental and computational neuroscience research 05/09/2018 –07/09/2018 Bristol University, UK We are offering twelve fully funded positions on the Wellcome Trust sponsored summer school for training and research experience in neural dynamics (TRENDs). The training and research in neural dynamics summer school is an exciting Wellcome Trust funded course held at the University of Bristol. The aim is to introduce young scientists to experimental and computational techniques used in neuroscience research. The summer school will be a three-day course made up of a series of seminars and lab visits where successful candidates will get first hand experience of electrophysiological recordings (bothin vitro and in vivo), EEG recordings, brain imaging, optogenetics, data analysis workshops and practical classes on learning to code in Python. No prior experience is necessary, but a keen interest is essential! We welcome applications from science undergraduates from a wide range of backgrounds. For successful applicants all costs to attend the course, including travel expenses within the UK, accommodation and food will be covered. Overseas travel expenses will be considered on a case by case basis. Deadline 15 June, 2018 Please send a completed application form, along with a cover letter, a copy of your CV and one academic reference or the name of one referee to will.gawned(a)bristol.ac.uk<mailto:will.gawned@bristol.ac.uk>. The application form is available as .doc ( TRENDS_2018_docx (Office document, 9kB)<http://www.bristol.ac.uk/media-library/sites/neural-dynamics/documents/tren…>) or as a LaTeX template (TRENDS_2018_tex<http://www.bristol.ac.uk/media-library/sites/neural-dynamics/documents/stud…>), please submit either .doc or .pdf. Krasimira Tsaneva-Atanasova Professor of Mathematics for Healthcare Department of Mathematics & Living Systems Institute, T02.17 University of Exeter, Stocker Road, Exeter, EX4 4QD, UK email: k.tsaneva-atanasova(a)exeter.ac.uk<mailto:k.tsaneva-atanasova@exeter.ac.uk> tel: +44 (0) 1392 723615 web: http://emps.exeter.ac.uk/mathematics/staff/kt298

May 17, 2018

8th International Summer School „Multimodal integration of brain measurements in research and clinical practice“

by Uwe Graichen

Dear colleagues, we are pleased to announce the 8th International Summer School in Biomedical Engineering „Multimodal integration of brain measurements in research and clinical practice“, 1st – 12th October 2018 in Chengdu, China. This event stands in the tradition of a series of successful summer schools on hot themes in biomedical engineering, dedicated to intense learning in the fruitful atmosphere of tight interaction between students and world-leading specialists. This year’s summer school is devoted to EEG/MEG source reconstruction technologies in the frame work of multimodal integration of brain measurements in research and clinical practice. In particular, the 8th International Summer School on Biomedical Engineering will focus on methodological approaches and challenges, measurement devices and characteristics, types of underlying theoretic modeling, specifics of data analysis, ability to derive conclusions about neuroscientific meaning. It will cover both theoretical foundations and practical applications. We aim at a thorough understanding of the underlying mechanisms. Thus, we will develop a critical view on current applications and possible future developments. The second important aim of the summer school consists in providing contact with both leading experts in the field and other students with similar interests, thereby facilitating the exchange of ideas on latest developments in the field. Target Group: - PhD students - Advanced Master students - Researchers entering the field of brain measurement and stimulation techniques Further Information about the 7th International Summer School in Biomedical Engineering: www.bme-school.org We would be happy to receive your application. Please pass this announcement to your colleagues who might be interested. Sincerely, Jens Haueisen and Thomas Knösche

May 16, 2018

Neuroplasticity Workshop: From Bench to Machine Learning 13 July 2018 - 14 July 2018 -- University of Surrey near London

by a.gruning＠surrey.ac.uk

Dear colleagues, Full information at <http://www.ias.surrey.ac.uk/workshops/Neuroplasticity/index.php>. Neuroplasticity: From Bench to Machine Learning 13 July 2018 - 14 July 2018 The Surrey Sleep Research Centre, the Department of Computer Science, and the Institute of Advance Studies at the University of Surrey are pleased to announce a call for participation in and contributions to a two-day workshop where researchers can share and discuss the current advances in neuroplasticity and machine learning and their mutual inspiration. On one hand, Neuroscience keeps discovering new mechanisms involved in neural plasticity and its modulation, which involves the so-called “third factors” (e.g. dendritic computations, glia, neurotransmitters) and dynamics of neural networks (e.g. oscillations). However the functional and computational interpretation of these phenomena and their utilisation in machine learning remains to be explored. On the other hand, the advent of “deep networks” in machine learning has allowed us to model artificial neural networks that perform highly complex tasks (e.g. chess, go, image classification). But to date, none of these modeling approaches competes with general human or animal intelligence in terms of cost-effectiveness or domain-transferability. The main goal of this workshop will be to discuss the missing links between neural-level phenomena and their computational function on behavioural or technical level. This meeting will bring together international and national leaders in the fields of synaptic function and plasticity, network dynamic, computational neuroscience and machine learning and will offer a unique platform to establish new interdisciplinary collaborations. CONFIRMED SPEAKERS Katharina Wilmes, Imperial College London, UK Matthew Larkum, Humboldt-Universität zu Berlin, Germany Cyril Hanus, INSERM U894, France Brendon Watson, University of Michigan, USA Keith Hengen, Washington University, USA Giorgos Kastellakis, IMBB-FORTH, Crete Friedemann Zenke, University of Oxford Connor Houghton, University of Bristol Liam McDaid, Ulster University David Lester, SpiNNaker, University of Manchester Tiina Maninen, Technical University of Turku -- Brief? Here's why: http://emailcharter.org<http://emailcharter.org/> Dr Andre Gruning Senior Lecturer (Associate Professor) Postgraduate Research Director Department of Computer Science University of Surrey, Guildford GU2 7XH United Kingdom

May 16, 2018

Information theory workshop at CNS*2018 -- call for contributed talks

by Joseph Lizier

Dear all, We are pleased to announce that the Workshop on Methods of Information Theory in Computational Neuroscience will be held once again at CNS*2018, Seattle, USA. The workshop will be held over the final two days of the main conference, July 17 and 18. Our confirmed invited speakers include the following (schedule available soon): * Braden Brinkman, Stony Brook University -- "Signal-to-noise ratio competes with neural bandwidth to shape efficient coding strategies" * Mireille Conrad, University of Geneva -- "Mutual information vs. transfer entropy in spike-based neuroscience" * Benjamin Cramer, University of Heidelberg -- "Information theory reveals a diverse range of states induced by spike timing based learning in neural networks" * Alex Dimitrov, Washington State University Vancouver -- "Modeling of perceptual invariances in biological sensory processing" * Eva Dyer, Georgia Tech -- "Finding low-dimensional structure in large-scale neural recordings" * Justin Gardner, Stanford University -- "Optimality and heuristics for human perceptual inference" * Jim Kay, University of Glasgow -- "Partial Information Decompositions based on Dependency Constraints" * Joseph T. Lizier, The University of Sydney -- "Pointwise Partial Information Decomposition Using the Specificity and Ambiguity Lattices" * Leonardo Novelli, The University of Sydney -- "Validation and performance of effective network inference using multivariate transfer entropy with IDTxl" * Tatyana Sharpee, Salk Institute for Biological Studies -- TBA * Nicholas M. Timme, Indiana University - Purdue University Indianapolis -- "From neural cultures to rodent models of disease: examples of information theory analyses of effective connectivity, computation, and encoding" * Taro Toyoizumi, RIKEN Brain Science Institute -- "Emergence of Levy Walks from Second-Order Stochastic Optimization" * Siwei Wang, Hebrew University of Jerusalem -- "Closing the gap from structure to function with information theoretic design principles" * Patricia Wollstadt, Goethe University, Frankfurt / Honda Research Institute Europe "Validation and performance of effective network inference using multivariate transfer entropy with IDTxl" Also, we would like to call for contributions of talks (25 min + 5 min Q&A). If you are interested in contributing such a talk, please send a title and abstract to Joseph Lizier (joseph.lizier(a)sydney.edu.au) by Friday June 8, 2018. Please see our website http://bit.ly/cns2018itw for more details. We hope you will join us there! Organising Committee: Joseph Lizier Viola Priesemann Justin Dauwels Taro Toyoizumi Alexander Dimitrov Lubomir Kostal Michael Wibral

May 16, 2018

postdoc @ UCLA: consciousness, AI, blockchain tech

by Hakwan Lau

in collaboration with the industry (a startup company based in the Bay Area), we are looking for a postdoc to follow up on this <http://science.sciencemag.org/content/358/6362/486/tab-figures-data>. the ideal candidate may be someone with a computer science background, passionate for understanding neuroscience and human consciousness. familiarity with / interest in neural network modelling and/or blockchain tech a plus. the job will be primarily based at UCLA with frequent opportunities to travel to San Francisco & Hong Kong (not an obligation). please send CV to hakwan(a)gmail.com Hakwan Lau, D.Phil [my work <https://qualia.psych.ucla.edu/> & blog <https://inconsciousnesswetrust.blogspot.com/>]

May 15, 2018

PhD Position in Computational Neuroscience of sleep/memory at UPF (Barcelona)

by DE SANCRISTOBAL ALONSO, BELEN

*PhD Position inComputational Neuroscience, Ruben Moreno-Bote Lab Center for Brain and Cognition, University Pompeu Fabra, Barcelona, Spain1 fully funded PhD position is available in the group of Theoretical and Cognitive Neuroscience (https://www.upf.edu/web/ruben-moreno-bote <https://www.upf.edu/web/ruben-moreno-bote>) in the Center for Brain and Cognition at the University Pompeu Fabra, Barcelona, Spain. The candidate will be supervised by both postdoctoral researcher Belén Sancristóbal Alonso and the head of the group, Rubén Moreno Bote.The selected candidate will develop his PhD within the field of sleep, sensory perception and memory. He/she will have access to rat’s electrophysiology recordings and can be involved in the design of behavioral experiments, thanks to our experimental collaborators. The project will require statistical analyses of neural data, programming and creative thinking. We are looking for motivated students with Physics, Mathematics, Engineering or Computer Science backgrounds, holding a Master’s degree and, ideally, with knowledge of Neuroscience. We will also consider candidates with Psychology background with strong mathematical skills and interested in modeling. This position is financed by the Junior Leader La Caixa Fellowship Programme.The candidate will also benefit from a larger network of neuroscience labs in Barcelona (http://www.barcelonaneuroscience.com <http://www.barcelonaneuroscience.com>).APPLICATION: A full CV in pdf format and an extract of grades for bachelor and master studies should be sent to belen.sancristobal(a)upf.edu <belen.sancristobal(a)upf.edu>DEADLINE: until the position is filledSTARTING DATE: Fall 2018* Belén de Sancristóbal Alonso Center for Brain and Cognition Universitat Pompeu Fabra c\ Ramon Trias Fargas, 25-27 Mercè Rodoreda building, 5th floor (room 24.512) 08005, Barcelona

May 15, 2018

Michael Arbib's autobiography is now open

by Érdi Péter

Dear All: The memoir of one of the legendary brain theoreticians, Michael Arbib: >From cybernetics to brain theory, and more: A memoir published in Cognitive Systems Research is now freely available by August 13th at ScienceDirect: https://www.sciencedirect.com/science/article/pii/S1389041718301360 Hope you will enjoy to read this paper! Kind regards Péter Érdi

May 13, 2018

Postdoc position in Computational Neuroscience in the Clopath lab.

by Clopath, Claudia

Postdoc position in Computational Neuroscience in the Clopath lab. ----------------------------------------------------- Computational Neuroscience Laboratory Headed by Dr. Claudia Clopath Department of Bioengineering Imperial College London -----------------Requirements:----------------- The Computational Neuroscience Laboratory, headed by Dr. Claudia Clopath, is looking for a talented Postdoc, interested in working in the field of computational neuroscience, specifically addressing questions of learning and memory. The perfect candidate has a strong mathematical, physical or engineering background (or equivalent), programing skills, and a keen interest in biological and neural systems. A PhD in the field of computational neuroscience is a plus. -----------------Research topic:----------------- Learning and memory are among the most fascinating topic of neuroscience, yet our understanding of it is only at the beginning. Learning is thought to change the connections between the neurons in the brain, a process called synaptic plasticity. Using mathematical and computational tools, it is possible to model synaptic plasticity across different time scales, which helps understand how different types of memory are formed. The Postdoc candidate will be working to build those models of synaptic plasticity, and study the functional role of synaptic plasticity in neural networks. ----------------- The lab:----------------------- The Computational Neuroscience Laboratory is very young and dynamic, and publishes in prestigious journals, such as Nature and Science. It is part of the Department of Bioengineering, which conducts state-of-the-art multidisciplinary research in biomechanics, neuroscience and neurotechnology. The lab is at Imperial College London, the 3rd ranked university in Europe, is in the top 10 worldwide, and is located in the city centre of London. More information can be found at: http://www.bg.ic.ac.uk/research/c.clopath/ ----------------- How to apply:----------------- Candidates should send a single pdf file, consisting of a 1-page motivation letter and CV (including publication list) to clopathlab.imperial(a)gmail.com<mailto:clopathlab.imperial@gmail.com>, with the subject containing 'Postdoc2018'. In addition, candidates should organize two letters of reference to be sent to clopathlab.imperial(a)gmail.com<mailto:clopathlab.imperial@gmail.com>, with the subject containing 'Postdoc2018'. The position is open until filled but the earlier applications will be considered first.

May 12, 2018

PhD Position in Computational Neuroscience of decision-making at UPF (Barcelona)

by Alexandre Hyafil

One fully funded PhD position is available under the supervision of Rubén Moreno-Bote and Alexandre Hyafil in the group of Theoretical and Cognitive Neuroscience. The group is part of the *Center for Brain and Cognition* at the University Pompeu Fabra (UPF), Barcelona, Spain ( https://www.upf.edu/web/ruben-moreno-bote) The candidate will study theoretical models of decision-making and design and analysis human experiments to directly test these models. He/she could also be involved in the design and analysis of animal behavioral and multielectrode neural data. Candidates should have *Physics*, *Mathematics* or *Machine Learning* background, ideally with knowledge of *Neuroscience* or *Computational Neuroscience*, and interested in theory and applications. We will also consider candidates with *Psychology* background interested in computational modeling. The candidate will benefit from the stimulating environment of Barcelona area in Theoretical and Systems Neuroscience. Our lab forms part of a larger network of neuroscience labs in Barcelona ( http://www.barcelonaneuroscience.com) Candidates, please send a full CV and an extract of grades for degree and master studies to alexandre.hyafil(a)upf.edu and ruben.moreno(a)upf.edu <alexandre.hyafil(a)upf.edu>. Deadline: until the position is filled. Starting date: any time between October 2018 and January 2019.

May 12, 2018

Extended deadline: 2nd INTERNATIONAL WORKSHOP ON NEURODYNAMICS (NDy18)

by ROBERTO BARRIO

Dear colleagues, we are sending the Second Announcement and Extended Deadline of the 2nd International Workshop on Neurodynamics (Ndy’18) September 26-29, 2018 Castro-Urdiales, Spain http://cody.unizar.es/events/neurodynamics18/ https://www.ciem.unican.es/2nd-international-workshop-neurodynamics *** Scientific committee *** Peter Ashwin, University of Exeter, UK. Roberto Barrio, Universidad de Zaragoza, Spain. Silvia Daun, University of Cologne, Germany. Mathieu Desroches, Inria, Sophia Antipolis, France. Toni Guillamon, Universidad Politécnica de Cataluña, Spain. Serafim Rodrigues, Basque Center of Applied Mathematics, Spain. Neuroscience is nowadays one of the most collaborative and active scientific research fields as it has been increasingly involving the participation of experts from other disciplines. In particular, computational and mathematical aspects of neuroscience are currently playing an important role both in modeling and replicating experimental findings and in explaining the underlying mechanisms of neurophysiological or cognitive processes. Differential equations are ubiquitous in the modeling of such phenomena and, consequently, nonlinear dynamics and dynamical systems techniques become fundamental sources of new mathematical and computational tools to study neuroscience models. The aim of this Second Workshop on Neurodynamics, NDy'18 (first edition was NDy'14) is to present an overview of successful achievements in this rapidly developing collaborative field by putting together different types of applications of nonlinear dynamics (geometrical tools in dynamical systems, numerical methods, computational schemes, dynamical measures,...) to different problems in neuroscience (mononeuronal dynamics, network activity, cognitive problems,...). Additional emphasis will be put on experimental findings seeking for theoretical explanations, and therefore this meeting is focussed on using mathematics as the primary tool for elucidating the fundamental mechanisms responsible for experimentally observed behavior in the applied neurosciences. Importantly, it will draw attention to those pieces of mathematical theory which are likely to be relevant to future studies of the brain. The final goal is spreading together mathematical methodology and neuroscience challenges and stimulating future cross-collaborations among participants, being Mathematical Neuroscience the generic topic for NDy'18. The workshop length will be 4 days, distributed in special sessions and talks, with several round tables on different topics. Early Confirmed Speakers Include: Peter Ashwin, University of Exeter, UK. Silvia Daun, University of Cologne, Germany. Mathieu Desroches, Inria, Sophia Antipolis, France. Claudius Gros, Goethe University Frankfurt, Germany. Cristina Masoller, Universitat Politecnica de Catalunya, Spain. Hil Meijer, University of Twente, Netherland. Hinke Osinga, University of Auckland, New Zealand. Alex Roxin, CRM, Spain. Jonathan Rubin, University of Pittsburgh, USA. Joaquin Torres, Universidad de Granada, Spain. --------------------------------------------------------------------- *** IMPORTANT DATES *** Short abstract/Title submission deadline 20th May 2018 *EXTENDED DEADLINE* Acceptance notification 31st May 2018 Payment deadline (reduced fee, 220 Euros) 30th June 2018 Payment deadline (complete fee, 270 Euros) 6th September 2018 The registration includes the coffee-breaks, lunches and social dinner. --------------------------------------------------------------------- Send your abstract as soon as possible (always before May 20th) by e-mail to cody(a)unizar.es. Use the templates provided in http://cody.unizar.es/events/neurodynamics18/ndy18_abstract.zip *************************************************** Prof. Roberto Barrio Computational Dynamics Group (CoDy) Departamento de Matematica Aplicada University of Zaragoza Edificio de Matematicas, planta tercera. c/ Pedro Cerbuna 12, 50009-Zaragoza SPAIN email: rbarrio(a)unizar.es web: http://cody.unizar.es Tel: (34) 976762480 ***************************************************

May 11, 2018

A unified theory of prefrontal cortex and its functions

by Grossberg, Stephen

Dear colleagues, The following Open Access article develops a unified theory of prefrontal cortex and its functions: Grossberg, S. (2018). Desirability, availability, credit assignment, category learning, and attention: Cognitive-emotional and working memory dynamics of orbitofrontal, ventrolateral, and dorsolateral prefrontal cortices. Brain and Neuroscience Advances. May 8, 2018. http://journals.sagepub.com/doi/full/10.1177/2398212818772179 Abstract: Background: The prefrontal cortices play an essential role in cognitive-emotional and working memory processes through interactions with multiple brain regions. Methods: This article further develops a unified neural architecture that explains many recent and classical data about prefrontal function, and makes testable predictions. Results: Prefrontal properties of desirability, availability, credit assignment, category learning, and feature-based attention are explained. These properties arise through interactions of orbitofrontal, ventrolateral prefrontal, and dorsolateral prefrontal cortices with the inferotemporal cortex, perirhinal cortex, parahippocampal cortices; ventral bank of the principal sulcus, ventral prearcuate gyrus, frontal eye fields, hippocampus, amygdala, basal ganglia, hypothalamus, and visual cortical areas V1, V2, V3A, V4, MT, MST, LIP, and PPC. Model explanations also include how the value of visual objects and events is computed, which objects and events cause desired consequences and which may be ignored as predictively irrelevant, and how to plan and act to realize these consequences, including how to selectively filter expected vs. unexpected events, leading to movements towards, and conscious perception of, expected events. Modeled processes include reinforcement learning and incentive motivational learning; object and spatial working memory dynamics; and category learning, including the learning of object categories, value categories, object-value categories, and sequence categories, or list chunks. Conclusions: This article hereby proposes a unified theory of prefrontal cortex and its functions. Best, Steve Grossberg Stephen Grossberg http://en.wikipedia.org/wiki/Stephen_Grossberg http://scholar.google.com/citations?user=3BIV70wAAAAJ&hl=en https://youtu.be/9n5AnvFur7I https://www.youtube.com/watch?v=_hBye6JQCh4 Wang Professor of Cognitive and Neural Systems Professor of Mathematics & Statistics, Psychological & Brain Sciences, and Biomedical Engineering Director, Center for Adaptive Systems Boston University http://cns.bu.edu/~steve steve(a)bu.edu<mailto:steve@bu.edu> <mailto:steve@bu.edu>

May 10, 2018

Post-doc positions available studying gamma's effects on learning, memory, and immune function

by Annabelle Singer

*Description* Postdoctoral or research scientist positions are available in the Singer lab at Georgia Institute of Technology and Emory University School of Medicine studying how neural activity affects learning and memory and the immune system in health and disease. *Major Responsibilities:* The successful applicant will examine how stimulating neural activity affects plasticity, immune responses, and learning and memory in health and disease with a focus on the hippocampal circuit. This research uses a variety of advanced neuroscience techniques including in vivo recordings from many single cells, MRI, innovative data analysis methods, and histological analysis in rodents. This project includes collaboration with other labs in the BME department at Georgia Tech and Emory and therefore a successful applicant must work well in a collaborative environment. This project is fully funded and aspects of this project will be applied to human subjects. To find out more about the Singer Lab, see our lab website http://singer.gatech.edu/ <http://singer.gatech.edu/publications/>and our recent publications: Gamma frequency entrainment attenuates amyloid load and modifies microglia <http://www.nature.com/nature/journal/v540/n7632/abs/nature20587.html> Hippocampal SWR Activity Predicts Correct Decisions during the Initial Learning of an Alternation Task <http://www.sciencedirect.com/science/article/pii/S0896627313000937> And some recent press: Beating Alzheimer’s with Brain Waves <https://www.theatlantic.com/science/archive/2016/12/beating-alzheimers-with…> What’s The Frequency <http://thebiomedicalscientist.net/science/what%E2%80%99s-frequency>? *Qualifications* The ideal candidate will have a PhD in Neuroscience, Biomedical Engineering, or a related discipline and a record of leading scientific projects to completion. Previous experience with in vivo experimentation, histology, MRI, behavior, electrophysiology and/or learning and memory is preferred. Candidates with computational backgrounds including signal processing, electrical engineering, or programming are encouraged to apply. The Singer Lab is part of the dynamic, exciting, and collaborative neuroscience and neuroengineering communities at Georgia Tech and Emory University. The candidate is expected to become an active member of this flourishing research community. *How to Apply:* If you meet these requirements and are interested in this position, please provide your detailed CV, a cover letter stating your research interests, and names and contact information for two references to Annabelle Singer: asinger(a)gatech.edu *Department Description* *The Wallace H. Coulter Department of Biomedical Engineering at Georgia Tech*is part of a vibrant biomedical community in Atlanta that includes the Emory School of Medicine, Center for Disease Control and Prevention (CDC), Winship Cancer Institute, Children’s Healthcare of Atlanta (CHOA), Georgia ImmunoEngineering Consortium, Institute for Electronics and Nanotechnology, Petit Institute for Bioengineering and Bioscience, and more. This rich scientific environment provides unique and unparalleled research opportunities, including seminars given by leaders in science and engineering from throughout the U.S. and abroad, opportunities for collaborations, exposure to diverse research programs, and sophisticated core facilities. As such, we offer the best of internationally renowned institutions. The partnerships have created outstanding undergraduate and graduate programs, recognized as #1 and #2 in the nation, respectively. Georgia Tech is an Affirmative Action/Equal Opportunity Employer. Annabelle Singer Assistant Professor Coulter Dept. of Biomedical Engineering Georgia Tech & Emory University 313 Ferst Drive Atlanta, GA 30332 Web: http://singer.gatech.edu/ Email: Annabelle.singer(a)bme.gatech.edu Skype: annabellesinger Google Hangout: annabellecsinger(a)gmail.com Faculty support: Karine Avagian, email: karine.avagian(a)bme.gatech.edu

May 9, 2018

Postdoc position in Marseille, France: machine learning and neuroscience

by Sylvain Takerkart

*Understanding individual differences in neuroimaging** using multi-view machine learning. Methods and applications.* * We are seeking candidates for a two years postdoctoral, for developing new machine learning methods to deal with heterogeneous data such as anatomical, functional and diffusion MRI. This post-doc will be funded by the newly established Institute for Language, Communication and the Brain in Marseille, France (http://www.ilcb.fr <http://www.ilcb.fr>), and will be awarded through a competitive selection process. The laureate will work in both the Institut de Neurosciences de la Timone (http://www.int.univ-amu.fr/ <http://www.int.univ-amu.fr/>) and the Laboratoire d'Informatique et Systèmes (http://www.lis-lab.fr/ <http://www.lis-lab.fr/>). * In brain imaging, traditional group analyses rely on averaging data collected in different individuals. This averaging offers a summary representation of the studied group, thus providing a way to perform inference at the population level. However, it discards the specificities of each individual, which have recently proved to carry critical information to develop diagnosis and prognosis tools for neurological and psychiatric diseases or to understand high level cognitive processes. Estimating robust population-wise invariants while preserving individual specificities is a challenge that can be addressed by integrating the information offered by different neuroimaging modalities, such as anatomical, functional and diffusion MRI, which respectively allow assessing brain shape, activity and connectivity. This can therefore be framed as a multi-view machine learning question. The tasks of the post-doctoral fellow will consist in 1. finding adequate representations of data (e.g. graph, stack of images, …) that preserve structural information, 2. designing and implementing machine learning algorithms that exploit both the representations and the multiple views using kernel methods and/or neural networks, and 3. evaluating them on a variety of MRI datasets dedicated to studying language and communication. The candidate should have completed a PhD in computer science, applied mathematics or electrical engineering, with a focus on machine learning. He/she should also have a strong motivation to work in neuroscience, as the working environment will be truly inter-disciplinary. Interested candidates should contact sylvain.takerkart(a)univ-amu.fr, francois-xavier.dupe(a)lis-lab.fr and hachem.kadri(a)lis-lab.fr before May 25 2018 for a first contact. -- Sylvain Takerkart Institut des Neurosciences de la Timone (INT) UMR 7289 CNRS-AMU Marseille, France tél: +33 (0)4 91 324 007 http://www.int.univ-amu.fr/_TAKERKART-Sylvain_?lang=en

May 9, 2018

The Virtual Brain - Node #7 Workshop [Montreal, Aug 7-8]

by Tanya Brown

*[image: TVB NODE#7Workshop Tweet Early Bird.png] <http://www.thevirtualbrain.org/node7>* *Get up to speed about the fundamental principles of full brain network modeling using the open-source neuroinformatics platform * *The Virtual Brain (TVB) at our 2-day workshop, August 7-8, 2018* *TVB NODE#7 is an official satellite event to* *Neuroinformatics 2018 <http://www.neuroinformatics2018.org/> <http://www.neuroinformatics2018.org/>* *Be sure to register for both!* TVB enables biologically realistic modeling of network dynamics using Connectome-based approaches across different brain scales. Generate macroscopic neuroimaging signals including fMRI, intracranial and stereotactic EEG, surface EEG and MEG for single subjects. Personalized brain network models can be derived from an individual’s MRI data. Researchers from different backgrounds can benefit from an integrative software platform including a supporting framework for data management (generation, organization, storage, integration and sharing) and a simulation core written in Python. Applications to use cases in the healthy and diseased brain are also presented. *LOCATION* *Montréal Neurological Institute (MNI)* 3801 University Street Montreal, QC, Canada H3A 2B4 <https://goo.gl/maps/78BEHUjBrd42> *REGISTER HERE <http://www.thevirtualbrain.org/node7>* *PROGRAM AT A GLANCE * - *A generative model of the brain; **describing the building blocks of a brain network model* - *Interacting with TVB; **w**orking with the web UI, command line and scripting interfaces* - *Constructing personalized models from empirical data; **learn how to take your own data and model it within the framework of TVB.* - *Brain stimulation in TVB* - *Clinical applications of TVB * - *Hands-on session; **using the GUI and demo scripts to simulate epilepsy, stroke, neurodegenerative disease, brain stimulation and a mouse model* *After the workshop you should have a basic picture of how these models are built, how they work, and what biological properties of a neural system they represent. In addition, we will highlight several research topics that can be explored using this tool.* *The workshop is organized with interleaved oral presentation and hands-on sessions. Attendants will have the time to ask questions. The hands-on sessions will let you immediately apply the concepts from the lectures to your simulations in TVB. * *Bring your own device.* *Refreshments will be available during the breaks and lunch will be provided.* *WORKSHOP HAS LIMITED ATTENDANCE* *Registration closes July 15th – claim your spot today! <https://www.eventbrite.ca/e/the-virtual-brain-node7-workshop-registration-4…>* <http://www.thevirtualbrain.org> *This workshop is supported by INCF and organized by the TVB Team. Please contact Tanya Brown <tbrown(a)research.baycrest.org>if you have any questions.* *Tanya Brown* Program Manager - The Virtual Brain <http://thevirtualbrain.org> Rotman Research Institute at Baycrest - Toronto, Canada [image: TVB_tagline_crop.jpg]

May 9, 2018

Cognitive Computing Herrenhausen Conference in December 18-20, 2018, Hannover, Germany - submite abstracts by July 31 - www.cognitive-comp.org

by Prof. Dr. Gordon Pipa

We are proud to announce the Herrenhausen Conference on Cognitive Computing, which will take place from December 18-20 in Hanover, Germany www.cognitive-comp.org Confirmed Plenary Lectures and Keynotes: David Wolpert, Santa Fé Institute, USA Chris Eliasmith, University of Waterloo, Canada Joanna J. Bryson, Princeton University, USA (University of Bath, UK) Pieter Roelfsema, NIN Amsterdam (Vrije Universiteit), Netherlands Demetri Psaltis, EPFL, Lausanne, Switzerland Kwabena Boahen, Stanford University, USA Edward A. Lee, UC Berkeley, USA Susan Stepney, University of York, UK Public lecture (Computation and System Autonomy): Ipke Wachsmuth, Bielefeld University, Germany Poster: http://cognitive-comp.org/template/images/files/CognitiveComputing_Conferenc e2018.pdf Call for Abstract: http://cognitive-comp.org/template/images/files/Call4Papers_CogComp2018.pdf The conference has two aims, namely to explore technological options arising from novel computational architectures in unconventional substrates and to work towards a general rigorous theory of computing in non-digital, "brain-like" physical substrates. This is a profoundly interdisciplinary enterprise. For the duration of three full days, we want to bring together researchers from neuroscience, mathematics, machine learning, computer engineering, physics and material sciences in a single-track "think tank" setting with eye-opening plenary and keynote lectures, as well as carefully selected oral presentations and comprehensive poster sessions. The venue, the Castle of Herrenhausen, a heritage of the Kings of Hannover, has been transformed into an award-winning center for scientific events. The Herrenhausen Gardens stretch across hectares of classical French gardening. This unique setting, together with generous break times, will make it easy and natural to engage in stimulating scientific exchange. The organizers: Daniel Brunner (photonics, neuromorphic architectures / Université Bourgogne Franche-Comté/CNRS, France) Herbert Jaeger (machine learning, nonlinear dynamics / Jacobs University, Germany) Stuart Parkin (nano systems, quantum electronic materials / Max Planck Institute for Microstructure Physics, Germany) Gordon Pipa (neuroinformatics and cognitive computing / Osnabrück University, Germany) ---------------------------------------------------------------------------- --- Professor and Chair of the Neuroinformatics Department Dr. rer. nat. Gordon Pipa Institute of Cognitive Science, Room 50/218 University of Osnabrueck Wachsbleiche 27, 49090 Osnabrück, Germany tel. +49 (0) 541-969-2277 fax (private). +49 (0) 5405- 500 80 98 home office. +49 (0) 5405- 500 90 95 e-mail: gpipa(a)uos.de webpage: http://www.ni.uos.de https://de.linkedin.com/in/gordon-pipa-47771539 research gate: https://www.researchgate.net/profile/Gordon_Pipa/?ev=prf_act Personal Assistent and Secretary of the Neuroinformatic lab: Anna Jungeilges Tel. +49 (0)541 969-2390 Fax +49 (0)541 969-2246 Email: anna.jungeilges(a)uni-osnabrueck.de visit us on http://www.facebook.com/CognitiveScienceOsnabruck https://twitter.com/#!/CogSciUOS

May 9, 2018

PhD position in Slovakia and US

by Norbert Kopco

A PhD position (or a part-time postdoc) is available in Norbert Kopco's Perception and Cognition Lab in the Institute of Computer Science at Safarik University in Kosice, Slovakia, for a Marie Curie EU-funded project on adaptation and learning in spatial hearing (http://pcl.upjs.sk/grants/alt/) This is an international collaborative project, combining psychophysical, neuroimaging and computational methods. As part of this project, the student would have the opportunity to work on development of modules for an auditory training game and spend up to 12 months in the US with one or more of the collaborators on this grant (Aaron Seitz's Brain Game Center at UC Riverside, Erick Gallun's lab at the Portland VA / OHSU, Virginia Best or Barbara Shinn-Cunningham at the Boston University Hearing Research Center, or Jyrki Ahveninen at the Martinos Center for Biomedical Imaging in Boston). Interested candidates please contact norbert.kopco(a)upjs.sk with a CV and a research statement. Information about PhD student application procedures is available at http://www.upjs.sk/en/faculty-of-science/foreign-students/ (deadline is 31 May, 2018).

May 8, 2018

Theory-Experiment postdoctoral position in Paris [coll. Shamma/Boubenec/Ostojic]

by Yves Boubenec

A theory-experiment postdoctoral position is available at the École Normale Supérieure in Paris, on a collaborative project between the group of Shihab Shamma & Yves Boubenec and the team of Srdjan Ostojic. We recently investigated (*) the population-level encoding of target stimuli in the primary auditory cortex of behaving animals during discrimination tasks. Following up on this study, we now aim at investigating the neural bases of auditory flexible categorization in behaving ferrets by combining computational modeling, data-analysis and experimental recordings. The successful applicant will be based at the Laboratoire de Neurosciences Cognitives Computationnelles (LNC2), a highly interactive and dynamic environment situated in central Paris (see https://lnc2.dec.ens.fr/fr/teams/network-dynamics-and-computations) The group of Shihab Shamma & Yves Boubenec where the neurophysiological recordings take place is located next door (https://lsp.dec.ens.fr) The ideal candidate should be a computational neuroscientist with strong interest in experimental neuroscience, or the other way round. Starting dates are flexible. The position is for two years. Candidates should send a letter of motivation (2 pages max), the contact information of 2 or more referees and their CVs to boubenec at ens.fr _BEFORE May 23rd, 2018_. (*) Bagur, S. , Averseng, M., Elgueda, D., David, S., Fritz, J., Yin, P., Shamma, S., Boubenec, Y.* & Ostojic, S.* Go/No-Go task engagement enhances population representation of target stimuli in primary auditory cortex. Nature Comm. (in press). doi:10.1101/240556 -- Yves Boubenec, Ph.D. Associate Professor / Maitre de conférences Audition Team, Laboratoire des Systèmes Perceptifs (CNRS UMR 8248) École Normale Supérieure, Department of Cognitive Studies 75005 Paris, France

May 8, 2018

REMINDER: NEST Conference 2018 --- Abstract submission closes SUNDAY 13 May

by Hans Ekkehard Plesser

Dear colleagues! I cordially invite you to submit contributions to the NEST Conference 2018 to be held on 25/26 June 2018 (Monday/Tuesday, lunch to lunch) on the beautiful campus of the Norwegian University of Life Sciences at Ås, 30km south of Oslo. ABSTRACT SUBMISSION CLOSES THIS SUNDAY! We are excited to offer the following conference highlights: • NEST 3 — Gain first hands-on experience with the future of NEST • NEST Doc++ — Shape the professional documentation for NEST • Brain Atlases as Tools for Neuroscience (Jan Bjaalie/Trygve Leergaard) • Agricultural Robotics — Meet Thorvald, NMBU's robot for precision farming (sagarobotics.com) • Midsummer conference barbecue dinner on NMBU's beautiful campus • 3-day Hackathon after the conference with focus on improving documentation The NEST Conference provides an opportunity for the NEST Community to meet, exchange success stories, swap advice, learn about current developments in and around NEST spiking network simulation and its application. We would like you to share your experiences made and results obtained with NEST during the conference. You can do so either by a short oral presentation (10–15 minutes), on a poster, through a demo, or by organizing group work. Important dates • 13 May 2018 — Deadline for abstract submissions --- THIS SUNDAY!!! • 17 May 2018 — Notification of acceptance • 25 May 2018 — Deadline for registration For details, abstract submission and registration, please see http://www.nest-initiative.org/conference You are also welcome to contact us at conference(a)nest-initiative.org. We are looking forward to welcoming you to Ås in June! Hans Ekkehard Plesser President The Neural Technology Simulation Initiative http://www.nest-initiative.org -- Dr. Hans Ekkehard Plesser Associate Professor Faculty of Science and Technology Norwegian University of Life Sciences PO Box 5003, 1432 Aas, Norway Phone +47 6723 1560 Email hans.ekkehard.plesser(a)nmbu.no Home http://arken.nmbu.no/~plesser

May 8, 2018

Job Opening

by Anna Manelis

*Postdoctoral position* A post-doctoral position is available at the Anticipation, Cognition and Emotion lab (www.ace.pitt.edu) at the University of Pittsburgh ( http://www.pitt.edu) to work with Dr. Anna Manelis and her team. A successful candidate will work on the NIMH funded research project that uses multimodal neuroimaging (fMRI, MRI, DTI and fNIRS) to understand the contribution of anticipatory processing to cognitive and emotional dysfunction in individuals with mood disorders. *Required Qualifications*: a PhD degree in psychology, cognitive neuroscience, computational neuroscience or a related discipline. A strong research background in the analysis and interpretation of neuroimaging data is required. Excellent writing skills are a must. Candidates with a strong computational background are encouraged to apply. Experience with FSL, Freesurfer and E-prime is preferred. The ability to program in Shell, Matlab, Python and/or R is preferred. Experience with fNIRS, graph modeling and pattern classification analyses is a plus. While prior experience with clinical populations is not necessary, we expect candidates to be interested in neuroimaging research of working and episodic memory in individuals with mood disorders. *Responsibilities*: A successful candidate will collect and analyze neuroimaging data, write manuscripts and present at conferences. This is a 1- to 2-year position that can be extended to 3 years. Start date is September 2018. If you are interested in this position, please send a CV, research statement, preprints/reprints of papers, and the names and contact information for two references to Anna Manelis (manelisa(a)upmc.edu <manelis(a)upmc.edu>).

May 7, 2018

3 PhD positions

by Jean-Pascal Pfister

Applications are invited for up to 3 PhD positions in the Theoretical Neuroscience Group headed by Prof. Jean-Pascal Pfister (jointly affiliated to the University of Bern and to the University of Zurich/ETH). The position is funded by the Swiss National Science Foundation grant entitled "Bayesian synapses”. The Theoretical Neuroscience Group is interested in discovering new computational principles implemented in the brain. The group uses machine learning techniques such as nonlinear Bayesian filtering and apply them at different levels: the single synapse level, the neural network level and the behavioral level. The project aims at proposing a Bayesian perspective to synaptic plasticity and testing this idea in collaboration with experimental labs such as the lab of Prof. Martin Müller (Institute of Molecular Life Sciences, University of Zurich). The candidate should hold a Master degree in Physics, Mathematics, Computational Neuroscience, Computer Science or a related field. She/he should have keen interests in designing experimentally testable models. Preference will be given to candidates with strong mathematical and programming skills. The applicant should submit a CV (including contacts of two referees), a statement of research interests, marks obtained for the Master, and the abstract of the Master thesis in electronic format to Jean-Pascal Pfister (jpfister(a)ini.uzh.ch <mailto:jpfister@ini.uzh.ch>). The position is offered for a period of three years and can be extended. The preferred starting date is before October 2018. Salary scale is provided by the Swiss National Science Foundation ( http://www.snf.ch/SiteCollectionDocuments/allg_doktorierende_e.pdf <http://www.snf.ch/SiteCollectionDocuments/allg_doktorierende_e.pdf> ). Deadline for application is the 15th of Mai 2018 or until the position is filled. The interview will take place in Bern on the 25th of Mai. ——— Prof. Jean-Pascal Pfister Theoretical Neuroscience Group Bühlplatz 5 3012 Bern Switzerland http://www.physio.unibe.ch/~pfister/group/ <http://www.physio.unibe.ch/~pfister/group/> and Institute of Neuroinformatics University of Zurich and ETH Zurich Winterthurerstrasse 190 8057 Zurich, Switzerland www.ini.uzh.ch/~jpfister <http://www.ini.uzh.ch/~jpfister>

May 7, 2018

POSTDOC Computational Neuroscience / AI, Nottingham

by Mark van Rossum

We are pleased to announce an opening for a postdoc in the lab of Mark van Rossum at the University of Nottingham. In a EPSRC/ESRC grant on Human-like Computation, we are investigating in the computational role of sleep in cognitive processing and visual reasoning. In particular we are interested in how REM and slow-wave sleep phases map onto processing stages of neurally inspired AI, thereby trying to circumvent some limitations of current deep learning approaches. This theoretical research is complemented by sleep experiments carried out by the group of Prof Penny Lewis in Cardiff. The successful candidate will have a PhD (or submitted his/her thesis) and have research experience in either computational neuroscience or machine learning, or a combination of these. This post is initially a fixed-term contract for a period of 12 months. As Nottingham is currently creating a Centre for Computational Neuroscience, long-term independent research positions will open up next year. Informal enquiries may be addressed to Mark van Rossum. mark.vanrossum-at-nottingham.ac.uk Formal applications should be made via the website: https://www.nottingham.ac.uk/jobs/currentvacancies/ref/SCI146218 -- Mark van Rossum, Professor, Schools of Psychology and Maths, U Nottingham Psych Bldg Rm LG.19, 44-115-951 5316, 44-7722049644 This message and any attachment are intended solely for the addressee and may contain confidential information. If you have received this message in error, please contact the sender and delete the email and attachment. Any views or opinions expressed by the author of this email do not necessarily reflect the views of the University of Nottingham. Email communications with the University of Nottingham may be monitored where permitted by law.

May 5, 2018

Postdoc @ UCLA: perceptual decision-making, electrophysiology (existing spikes data)

by Hakwan Lau

hello - in collaboration with Michele Basso we're looking for someone to follow up this <https://www.ncbi.nlm.nih.gov/pubmed/29382765> & this <https://www.ncbi.nlm.nih.gov/pubmed/29301100> (going into PFC too). the person can focus on analysis and/or theory & doesn't have to want to learn to do the experimental work (though that's more than welcome). Hakwan Lau, D.Phil [my work <https://qualia.psych.ucla.edu/> & blog <https://inconsciousnesswetrust.blogspot.com/>]

May 3, 2018

Deadline extended to May 31st NeuroBridges 2018

by Ahmed El Hady

Notice: deadline extended to May 31st 2018 */NeuroBridges 2018 Summer school , Cluny, France/* */( October 2nd - October 12th, 2018)/* I would like to bring to your attention the *NeuroBridges 2018 Computational Neuroscience School*. <http://decision-making-lab.com/NeuroBridges/neurobridges2018.html> NeuroBridges <https://www.facebook.com/NeuroBridges/>is a one-of-a-kind series of scientific meetings in brain research, which brings together Mediterranean and Middle Eastern scientists, in order to promote international scientific cooperation in system and computational neuroscience. A major goal of this school is to serve as a bridge between experimental and theoretical neuroscientists, addressing system-level questions. The organizers of NeuroBridges also believe that these scientific collaborations can lead to personal relations, which eventually may help alleviate the political distress in the Middle East. Following the success of NeuroBridges 2017 <http://decision-making-lab.com/NeuroBridges/neurobridges2017.html> school, NeuroBridges 2018 <http://decision-making-lab.com/NeuroBridges/neurobridges2018.html> will be a nine day summer school <http://decision-making-lab.com/NeuroBridges/neurobridges2018.html>, which will take place in Cluny, France. The school is organized by Ahmed El Hady (Princeton), David Hansel (CNRS) and Yonatan Loewenstein (Hebrew University). It will be comprised of lectures delivered by a group of leading neuroscientists, experimentalists as well as theoreticians, which will address the fundamental questions in contemporary neuroscience. We are very excited that Yves Frégnac (CNRS, France ) will be giving the keynote lecture at the school. In addition to the lectures, the students will work in groups on small research projects. The school is intended for graduate students and postdocs, primarily from the Middle East and the Mediterranean region, either working in their home countries or abroad. We will consider applicants with some background in applied mathematics, computer science, electrical engineering or physics, interested in theoretical brain and cognitive sciences. We will also consider those with biological or medical background given that they show proof of basic mathematical knowledge. The school will take place between October 2 and October 12, 2018 in Le Centre de Conférences Internationales de Cluny (CCIC). Cluny is a small medieval town in Burgundy, France, located about 400km southeast of Paris (accessible by fast train, TGV). The deadline for application is *May 31st, 2018 *and the following is the website including the link for the online application: http://decision-making-lab.com/NeuroBridges/neurobridges2018.html For more information, please contact neurobridges2018(a)gmail.com <mailto:neurobridges2018@gmail.com>.

May 3, 2018

Postdoc position in brain modelling at QIMR Berghofer, Brisbane, Australia

by James Roberts

The Brain Modelling Group, led by Dr James Roberts at QIMR Berghofer Medical Research Institute, is seeking a postdoctoral research fellow. The role is a key part of an NHMRC-funded project to model large-scale brain dynamics across the lifespan. The successful candidate will develop novel models of large-scale brain dynamics, and use these to model brain activity across the adult lifespan. This will entail: (i) mathematical and computational modelling of brain dynamics at the whole-brain level; (ii) constraining models against empirical neuroimaging data, both structural and functional; and (iii) developing novel analysis tools and implementing them for wide adoption. The role will also include collaboration with Prof Michael Breakspear’s Systems Neuroscience Group. The successful candidate will have: - A PhD in physics, mathematics, computational neuroscience, computer science, or a related field; - A strong track record of high-quality peer-reviewed publications; - Experience in mathematical modelling; - Proficiency in programming (e.g. in MATLAB). And ideally will also have experience in: - Pre-processing and analysis of neuroimaging data, including diffusion imaging and tractography, fMRI, MEG, and/or EEG; - Modelling large-scale brain network dynamics; - Time series analysis and signal processing; and - Handling of large datasets. The position is in Brisbane, Australia, full-time for 2.5 years (with possibilities to extend). Salary range $78,530 - $84,257 p.a. plus up to 15.75% superannuation and attractive salary packing options. More details at: https://recruitment.qimr.edu.au/viewjob.aspx?jobid=1878 Position description: https://recruitment.qimr.edu.au/Public/docs/1878/12797%20Position%20Descrip… Closing date: 1 June 2018. James Roberts Team Head Brain Modelling Group QIMR Berghofer Medical Research Institute

May 3, 2018

PhD position available on the theme 'Novel technological approaches for neurorehabilitation’ @IIT (Genova, ITALY)

by Michela Chiappalone

PhD in Bioengineering and Robotics, curriculum ‘Bioengineering and Bioelectronics’. Research Theme: ‘Novel technological approaches for neurorehabilitation’ We are looking for a highly motivated PhD student, for joining the team of Dr Michela Chiappalone at Rehab Technologies INAIL-IIT Joint Lab of the Istituto Italiano di Tecnologia (IIT), Genova ITALY. The primary goal of this PhD project consists of developing novel technological approaches for neurorehabilitation, in the framework of national and international projects and collaborations (e.g. IIT network; KUMED at Kansas City, KS USA; University hospitals). Specifically, it will be required to perform experiments and develop novel protocols, based on closed-loop technology, of intracortical electrical stimulation to promote cortico-cortical plasticity in an animal model of focal lesion. The design of analytical tools for data analysis of multichannel electrohysiological signals will be required as well. To this end, knowledge of programming languages such as Matlab, Python, and/or C is highly considered. Experience in Machine Learning techniques will be considered a plus. The ideal candidate should hold a degree in biomedical engineering, neuroscience or related disciplines, be a highly motivated and creative individual who wants to work in a dynamic, multi-disciplinary research environment. Former lab experience and previous technical and scientific results will be highly considered. The call and the instruction for the application can be found here https://unige.it/usg/it/dottorati-di-ricerca or here www.iit.it/phd-school<http://www.iit.it/phd-school> DEADLINE FOR THE APPLICATION WILL BE JUNE 12, 2018 at 12.00 PM (CEST) Please contact me directly BEFORE THE DEADLINE if you are interested in this position or if you have any question about it. Best regards, Michela Chiappalone ------------------------------------------------------------------------- Dr Michela Chiappalone, PhD Researcher Rehab Technologies IIT-INAIL Lab Phone : +39 010 71781743 E-mail : michela.chiappalone(a)iit.it<mailto:michela.chiappalone@iit.it> ISTITUTO ITALIANO DI TECNOLOGIA Via Morego 30, 16163 Genova Site: www.iit.it<http://www.iit.it>

May 2, 2018

MSc Neuroscience - University of Freiburg, Germany

by Carsten Mehring

MSc program in Neuroscience - University of Freiburg, Germany We are inviting applications for the interdisciplinary MSc program in Neuroscience at the University of Freiburg, Germany. The program provides theoretical and practical training in neuroscience, covering both the foundations and the latest research in the field. It is taught by lecturers from an international scientific community from three faculties and two neuroscience research centres. The modular course structure caters to the specific backgrounds and research interests of each individual student and we offer specialisations in computational neuroscience, neuro-/optophysiology, neurotechnology and genes,circuiots & behaviour. All courses are taught in English. We welcome applications with a background in natural sciences, mathematics, behavioural sciences, computer science or engineering sciences. The deadline for applications for the October 2018 entry is the 30th of May 2018. Further details can be found on our homepage http://www.mscneuro.uni-freiburg.de <http://www.mscneuro.uni-freiburg.de/> Please contact mscneuro@uni-freiburg,de for further questions. With kind regards Carsten Mehring — Bernstein Center Freiburg & Faculty of Biology University of Freiburg

May 2, 2018

Call for Abstracts: Bernstein Conference 2018 in Berlin

by Kerstin Schwarzwaelder

Call for Abstracts: Bernstein Conference 2018 in Berlin ************************************************************** Satellite Workshops September 25-26, 2018 Main Conference September 26-28, 2018 PhD Symposium September 28-29, 2018 ************************************************************** The Bernstein Conference is the largest annual Computational Neuroscience conference in Europe with more than 500 international participants in recent years. The main conference, taking place from September 26-28, 2018, will be accompanied by satellite workshops taking place from September 25-26, 2018, and a PhD symposium which will be held from September 28-29, 2018. An important part of the main conference will be the two poster sessions. We are now inviting the submission of abstracts from all relevant areas. Authors of most accepted abstracts will get the chance for a poster presentation, a small number of abstracts will be selected for contributed talks during the main conference. Please note the earlier submission deadline for authors applying for a talk. All accepted abstracts will be published online and will be citable via Digital Object Identifiers (DOI). DETAILS FOR ABSTRACT SUBMISSION: For abstract submission please visit: www.bernstein-network.de/de/bernstein-conference/2018/abstracts<http://www.bernstein-network.de/de/bernstein-conference/2018/abstracts> Poster space is limited and early submission is encouraged. Submission of an abstract does not replace conference registration (www.bernstein-network.de/de/bernstein-conference/2018/registration<http://www.bernstein-network.de/de/bernstein-conference/2018/registration>). ABSTRACT SUBMISSION DEADLINES: Abstracts aimed as contributed talks and posters: June 21, 2018 Abstracts aimed as posters only: July 17, 2018 TRAVEL GRANTS: To support the participation of young researchers in the Bernstein Conference, the Bernstein Coordination Site (BCOS) offers 10 Travel Grants, each endowed with 500 €. Please find further information under www.bernstein-network.de/de/bernstein-conference/2018/apply-for-a-travel-gr…<http://www.bernstein-network.de/de/bernstein-conference/2018/apply-for-a-tr…> ACCOMMODATION AND HOTEL RESERVATION: We strongly recommend early room booking! The number of available accommodation is limited! We arranged for room contingents in a variety of hotels that you may book by yourself by email or phone. Please follow the instructions at our Accommodations Website (www.bernstein-network.de/en/bernstein-conference/2018/hotels<http://www.bernstein-network.de/en/bernstein-conference/2018/hotels>). We would like to emphasize that these room contingents will be held open up to different expiration dates depending on the hotel (or until they are filled). VENUE SATELLITE WORKSHOPS: Marchstrasse 23 10587 Berlin (10 min. walk from the Technische Universität Berlin (TU Berlin) Main Building) VENUE MAIN CONFERENCE: Technische Universität Berlin (TU Berlin) Main Building Strasse des 17. Juni 135 10623 Berlin VENUE PHD SYMPOSIUM: Bernstein Center Berlin Campus Nord Philippstrasse 13 House 6 10115 Berlin For more information on the conference, please visit the website www.bernstein-conference.de<http://www.bernstein-conference.de> We are looking forward to welcoming you in Berlin! Conference Chair: Andreas Herz Conference Host: Henning Sprekeler Program Chair: Gilles Laurent Program Vice Chair: Susanne Schreiber Workshop Chair: Jakob Macke Workshop Vice Chair: Tatjana Tchumatchenko Technical Organization: Bernstein Coordination Site (BCOS): Alexandra Stein, Kerstin Schwarzwaelder -- Dr. Kerstin Schwarzwälder Scientific Coordination / Management Officer Please note: Our email addresses have changed. Please use k.schwarzwaelder(a)fz-juelich.de<mailto:k.schwarzwaelder@fz-juelich.de> Bernstein Network Computational Neuroscience | Bernstein Coordination Site (BCOS) Branch Office of the Forschungszentrum Jülich at the University of Freiburg Hansastr. 9A | 79104 Freiburg, Germany phone: (+49) 0761 203 9589 mail: k.schwarzwaelder(a)fz-juelich.de<mailto:k.schwarzwaelder@fz-juelich.de> web: www.nncn.de<http://www.nncn.de> Twitter: NNCN_Germany<https://twitter.com/NNCN_Germany> YouTube: Bernstein TV<https://www.youtube.com/user/BernsteinNetwork> Facebook: Bernstein Network Computational Neuroscience, Germany<https://www.facebook.com/BernsteinNetwork/> LinkedIn: Bernstein Network Computational Neuroscience, Germany<https://www.linkedin.com/company/bernstein-network-computational-neuroscien…> <https://www.linkedin.com/company/bernstein-network-computational-neuroscien…> ------------------------------------------------------------------------------------------------ ------------------------------------------------------------------------------------------------ Forschungszentrum Juelich GmbH 52425 Juelich Sitz der Gesellschaft: Juelich Eingetragen im Handelsregister des Amtsgerichts Dueren Nr. HR B 3498 Vorsitzender des Aufsichtsrats: MinDir Dr. Karl Eugen Huthmacher Geschaeftsfuehrung: Prof. Dr.-Ing. Wolfgang Marquardt (Vorsitzender), Karsten Beneke (stellv. Vorsitzender), Prof. Dr.-Ing. Harald Bolt, Prof. Dr. Sebastian M. Schmidt ------------------------------------------------------------------------------------------------ ------------------------------------------------------------------------------------------------

May 2, 2018

Postdoctoral Associate position in Decision Neuroscience

by Dongil Chung

***Apologies for cross posting*** *Postdoctoral Associate* *Job description: * The Decision Neuroscience & Cognitive Engineering Lab (PI: Dongil Chung; http://dnce.unist.ac.kr) and the Computational Clinical Science Lab (PI: Woo-Young Ahn; http://ccs-lab.github.io) are recruiting a postdoctoral associate in decision neuroscience with emphasis on functional neuroimaging and computational modeling. An ideal postdoctoral associate will be interested in studying human value-based and/or social decision-making using neuroimaging, computational modeling, Bayesian modeling, and/or machine learning. A successful candidate will have the opportunity to work on several projects. Specific research topics and training opportunities can be individually tailored. The labs will offer internationally competitive training and research opportunities. The postdoctoral position is for two years. Further extensions are possible, contingent on performance and availability of funds. Workplace can be either at Seoul National University (SNU) or Ulsan National Institute of Science and Technology (UNIST), based on the applicant’s preference. The position is available immediately, but later start dates are possible, as late as January 2019. Salary will be commensurate with qualifications and experience, but it will be highly competitive (approx. NIH level). The postdoctoral associate will enjoy (1) abundant opportunities for active international collaborations, (2) support for international conferences, and (3) cutting-edge computing resources. *Requirements:* · A PhD in cognitive or computational neuroscience, engineering, psychology, experimental economics, or a related field · *Facility* with signal processing or computational/quantitative methods · Strong programming background (e.g., MATLAB, R, Python) · Demonstration of potential for excellence (e.g., publishing or submitting journal papers) · A strong background in computational modeling and/or the designing and analysis of fMRI experiments highly desired *How to apply:* To apply, please forward a statement of interest, CV, representative re- or pre-prints, and a list of (at least two) references. Consideration of applications will begin immediately and will end when the position is filled. Send inquiries and applications to Drs. Dongil Chung ( dchung(a)unist.ac.kr) and Woo-Young Ahn (wahn55(a)snu.ac.kr) -- Dongil Chung, Ph.D. Assistant Professor Department of Human Factors Engineering UNIST 50 UNIST-gil, Ulsan, South Korea office: +82 (52) 217-2744 dchung(a)unist.ac.kr

May 1, 2018

Late Bird call for the Brainhack Ghent 7-8th May 2018 [extended registration deadline]

by Daniel Borek

*[APOLOGIES FOR DOUBLE POSTING]Brainhack Ghent 2018 May 7-8, 2018University of Ghent, Ghent, Belgium !!! Registration deadline extended : noon 4 May 2018 !!!register here → https://brainhackghent.github.io/#register <https://brainhackghent.github.io/#register>On 7-8th May 2018, the second edition of Brainhack Ghent will take place at the university of Ghent (FPPW, Henri Dunantlaan 2, 9000 Ghent), as part of the Brainhack Global event (May 2-6). During this two-day event, dedicated to students and PhD students, we will work in teams on neuroscience-related projects.Brainhack integrates all levels of expertise and is also an opportunity to learn (new) methods, develop skills, share knowledge, collaborate with other participants and make new friendships in academia.During the “hack sessions”, participants will be working together in small groups on relevant projects. The hackathon will end on the last day, when participants will have the opportunity to present a brief overview of the progress they made (project update). The projects that have already been submitted evolve around reproducibility, and EEG/fMRI analysis.Participants will be supervised and could receive advice on methods from other participants and project leaders throughout the two days.We also planned a series of several science related talks. Among others subjects you could learn about meta-analysis, science communication, and information theory.A constant flow of coffee will be provided during the event. During the event we will also ask a small fee for those who would want to be provided with some food from university cantine.You can register for Brainhack Ghent 2018 by going to https://brainhackghent.github.io/#register <https://brainhackghent.github.io/#register> At this website, you can also submit a project which will be realised during the two-day event. Projects can be side projects, projects you were always interested in, but never had time to work on, new ideas you want to explore… In order to submit your project, proceed to the ‘project submission’ section, where you can specify the project author, a project title, and a short project outline specifying some scientific context and concrete goals. Of course, you’re always welcome to provide that extra bit of information to help your fellow Brainhackers in their project selection process! For example, you can provide 1-3 key papers related to the project, some requirements (e.g. certain programming skills) for taking part in the project, skills and competences that can be learned in the project... If you have any questions about the feasibility/added value/… of a project you want to submit, do not hesitate to contact us (brainhackghent2018(a)gmail.com <brainhackghent2018(a)gmail.com>). We will provide you with feedback as soon as possible! If you prefer to prepare a tutorial in addition to/ instead of submitting a project, you are certainly welcome to contact us as well! If you feel that the deadline ( noon 4th of May) for submitting the project/tutorial is too short for you and you need more time please let us know before that date!We hope to hear from you soon, and please feel free to forward this message to other colleagues whom might be interested!!The Organization Committee of BrainHack Ghent 2018* -- Daniel Borek PhD candidate Department of Data Analysis Ghent University Begijnhoflaan 464, B-9000 Gent, Belgium E-mail: daniel.borek(a)ugent.be

May 1, 2018

COSYNE 2018: Talks are available online

by Tomas Hromadka

==================================================== Computational and Systems Neuroscience (Cosyne) www.cosyne.org ==================================================== COSYNE 2018 TALKS AVAILABLE ONLINE We are pleased to announce that selected talks presented at Cosyne 2018 are now available online. Cosyne 2018 tutorial on 'Statistical models for neural data', presented by Jonathan Pillow, is available as well. Links to current playlists are available at www.cosyne.org. Best regards, Cosyne organizers

April 28, 2018

Postdoc in electrophysiological source imaging

by Daniel Wójcik

POSTDOCTORAL POSITION IN COMPUTATIONAL NEUROSCIENCE: kESI – kernel-based method of electrophysiological source imaging The Neuroinformatics Laboratory (http://neuroinflab.pl/) at the Nencki Institute of Experimental Biology (http://www.nencki.gov.pl) invites applications for a postdoctoral position. The goal of the project is to develop, implement and investigate, a new technique of source localization of specific events in neural activity, such as a seizure, from multimodal imaging data, including ECoG (strip and grid electrodes), depth electrophysiological recordings, and MRI data from humans. The method will be validated with ground truth model data and tested on clinical data obtained from epilepsy patients. The fellow will build on already existing tools and techniques developed in the lab (https://github.com/Neuroinflab/kCSD-python) see especially Potworowski et al. 2012 and Ness et al. 2015 (https://neuroinflab.wordpress.com/publications/) The ideal candidate will have a strong computational background, experience in numerical solutions of PDEs, electrodynamics, computational neuroscience, or brain imaging. We can only accept candidates 0 to 7 years after reception of PhD (+1,5 year per child for mothers). If you have a solid background in physics, maths, computer science, or engineering, and want to apply it to understanding or curing the brain, this position might be for you. Funding is available for 2-3 years. The gross yearly salary (“duże brutto”) is up to 120 000 PLN (~28 000 EUR) depending on employment time and experience. To find out its worth check out https://www.expatistan.com/cost-of-living and https://www.numbeo.com/cost-of-living/comparison.jsp. To apply or inquire send email to d.wojcik(a)nencki.gov.pl. Applications should include a CV, statement of research interests, and the names and full contact details of one to three referees. To demonstrate your prowess in Python provide your github account or solutions to problems 1-4 provided here (https://neuroinflab.wordpress.com/tasks/ - at least two, the more the better). If you cannot satisfy these conditions but still think we should hire you, convince us. The deadline for application is May 31st, 2018. We will continue recruitment until the position is filled. https://neuroinflab.wordpress.com/jobs/postdoc-kesi/ -- Prof. Daniel K. Wojcik Laboratory of Neuroinformatics, Head Graduate School, Head Nencki Institute of Experimental Biology http://neuroinflab.pl/ http://orcid.org/0000-0003-0812-9872

April 27, 2018

PhD studentship. Dopamine, social cognition and bodily movement. Uni of Birmingham, UK.

by Jennifer Cook

*Dopamine, social cognition and bodily movement: unpacking a complex relationship (ERC-Funded PhD studentship)* Application deadline: 25th May 2018 Studentship start date: 30th July 2018 or as soon as possible thereafter. Summary: Applications are invited for a fully-funded (fees + stipend) Ph.D. to begin in July 2018. The candidate will work with Dr. Jennifer Cook ( www.jencooklab.com; http://www.birmingham.ac.uk/schools/psychology/people/profile.aspx?Referenc…) on a European Research Council (ERC)-funded project on the relationship between social cognition, bodily movement and function of the dopaminergic neurotransmitter system (ERC-StG-Brain2Bee). Project description: Studies of Parkinson’s Disease have typically focused on difficulties with bodily movement (e.g. difficulties with walking), and studies of Autism have tended to focus on social cognition. The co-occurrence of social and movement symptoms is thus critically underappreciated; Parkinson’s Disease patients exhibit social symptoms, and motor challenges (e.g. difficulties with handwriting) are common in Autism. At present, the biological basis of co-occurring social and motor symptoms is unclear. Notably, both Autism and Parkinson’s Disease have been associated with atypicalities in the function of the dopaminergic neurotransmitter system. This Ph.D. project aims to improve understanding of the complex relationship between social cognition, bodily movement and the dopamine system. This aim will be achieved using psychopharmacology studies and behavioural training in typical individuals and in those with Autism or Parkinson’s Disease. Results from this package of work will help us to move closer to a cross-disorder understanding of factors underlying variation in social and motor ability. Research will be conducted at the School of Psychology at the University of Birmingham (http://www.birmingham.ac.uk/schools/psychology/index.aspx) which is one of the largest and most successful psychology departments in the UK, currently ranked in the top 5 (REF 2014). How to apply: For more information and application details see https://www.findaphd.com/search/ProjectDetails.aspx?PJID=89414 or contact Dr. Jennifer Cook, j.l.cook(a)bham.ac.uk -- Dr Jennifer Cook Senior Research Fellow School of Psychology University of Birmingham www.jencooklab.com http://www.birmingham.ac.uk/schools/psychology/people/profile.aspx?Referenc…

April 26, 2018

Two postdoctoral positions at RIKEN Center for Brain Science, Japan

by Andrea Benucci

The Laboratory for Neural Circuits and Behavior at RIKEN Center for Brain Science near Tokyo (www.benuccilab.net) is seeking two postdoctoral candidates to work on theoretical and experimental projects. The ideal experimental candidate has a Ph.D. in a relevant field (e.g., Neuroscience, Biology, Genetics) and familiarity with optogenetic and calcium-imaging methodologies in rodents, with demonstrated experience in data analysis and modeling (Matlab or Python preferred). The theoretical candidate should have a Ph.D. in Computer Science, Mathematics, or Physics, be proficient in Matlab and Python (Theano, TensorFlow) programming, with demonstrated experience working with different classes of artificial neural networks (RNN, LSTM preferred). Applications should include a cover letter and a CV, and emailed to andrea(a)benuccilab.net

April 26, 2018

AI & Augmented Cognition in the USAF of 2030 MicroLabs

by Jeff Krichmar

Dear Colleagues, Please consider this friendly reminder to join us for one of the upcoming AI & Augmented Cognition in the USAF of 2030 MicroLabs next week. These 60-90 minute interactive online events are part of a larger effort to illuminate the 2030 technology horizon for AI in the USAF context. To maintain the integrity of the process for our USAF sponsor, registration can only be completed through a closed community portal (https://hub.ki/groups/gmuai/overview) If you'd like to get involved, please use this link (https://goo.gl/CkntHq) to complete a 1-minute application for the community. For reference, the primary objective of the effort, as stated, is to illuminate the 2030 technology horizon for AI in the USAF context. A secondary objective is to facilitate the building of a community of USAF aligned experts who can provide continuing advice to the USAF as an external advisory board. The final objective is to facilitate the discussions necessary to build a pipeline of technological expertise in AI to avoid or respond to strategic surprise in this area. Sincerely, James Olds - former head of the Biological Sciences Directorate at NSF and university professor of neuroscience at George Mason University Stephen Fiore - Director, Cognitive Sciences Laboratory, and Professor with the University of Central Florida's Cognitive Sciences Program in the Department of Philosophy and Institute for Simulation & Training Jeff Krichmar - Professor in the Department of Cognitive Sciences and the Department of Computer Science at the University of California, Irvine. Jeff Krichmar Department of Cognitive Sciences 2328 Social & Behavioral Sciences Gateway University of California, Irvine Irvine, CA 92697-5100 jkrichma(a)uci.edu http://www.socsci.uci.edu/~jkrichma

April 25, 2018

Junior Professor in Cognitive Computing - Germany - University Osnabrueck - Institute of Cognitive Science

by Prof. Dr. Gordon Pipa

The Institute of Cognitive Science (University Osnabrueck ) is seeking to appoint an Junior Professor in Cognitive Computing. You can find more details here: https://www.uni-osnabrueck.de/universitaet/stellenangebote/stellenangebote_d etail/50_ikw_assistent_professorship_in_cognitive_computing.html The professorship will be tightly interlinked with the DFG research training group on Computational Cognition which Osnabrück University has applied for, and specifically related to the research fields From Signals to Symbols and Back: Neural Representations and Learning and Symbolic Thought: Processes on Uncertain and Incomplete Representations, and will strengthen the profile in the domain of big data science and machine learning. The work will be inspired by deep neuronal networks and modern machine learning techniques. A transfer to applications is welcome. A strong link to cognitive science is essential. This may include cognitive architectures, multi-agent systems, human machine interactions, and neuro-inspired learning. She/he is particularly expected to collaborate with more than one of the existing work groups that are closely related to the fields of processing visual data, machine learning, knowledge representation, and (neuro-) cognitive aspects of language. Feel free to get in touch with me to get further information. Best Gordon ---------------------------------------------------------------------------- --- Professor and Chair of the Neuroinformatics Department Dr. rer. nat. Gordon Pipa Institute of Cognitive Science, Room 50/218 University of Osnabrueck Wachsbleiche 27, 49090 Osnabrück, Germany tel. +49 (0) 541-969-2277 fax (private). +49 (0) 5405- 500 80 98 home office. +49 (0) 5405- 500 90 95 e-mail: gpipa(a)uos.de webpage: http://www.ni.uos.de https://de.linkedin.com/in/gordon-pipa-47771539 research gate: https://www.researchgate.net/profile/Gordon_Pipa/?ev=prf_act Personal Assistent and Secretary of the Neuroinformatic lab: Anna Jungeilges Tel. +49 (0)541 969-2390 Fax +49 (0)541 969-2246 Email: anna.jungeilges(a)uni-osnabrueck.de visit us on http://www.facebook.com/CognitiveScienceOsnabruck https://twitter.com/#!/CogSciUOS

April 25, 2018

Computational Postdoc - Cold Spring Harbor Laboratory - Long Island, New York

by Engel, Tatiana

Postdoctoral position in Computational Neuroscience, Engel Lab, Cold Spring Harbor Laboratory, NY Position description: The Engel lab in the Department of Neuroscience at Cold Spring Harbor Laboratory invites applications from highly motivated candidates for a postdoctoral position working on the cutting-edge research in computational neuroscience. We are looking for theoretical/computational scientists to work at the exciting interface of systems neuroscience, machine learning, and statistical physics, in close collaboration with experimentalists. The postdoctoral scientist is expected to exhibit resourcefulness and independence, developing computational models of large-scale neural activity recordings with the goal to elucidate neural circuit mechanisms underlying cognitive functions. The candidates should e-mail their application to Tatiana Engel (engel(a)cshl.edu<mailto:engel@cshl.edu>) as a single pdf file with subject: Postdoc Application. The application file should include: (1) CV with the publication list, (2) a brief description of research interests, (3) contact information for three references. Position requirements: - PhD in physics, mathematics, neuroscience, computer science, engineering or related quantitative discipline - Expertise in scientific programming, e.g., C/C++, Python, Matlab - Track record of publications in scientific journals - Effective communication skills, both written and oral - Dedication and passion for solving hard scientific problems -- Tatiana Engel, PhD Assistant Professor Cold Spring Harbor Laboratory 1 Bungtown Road, Cold Spring Harbor, NY (+1) 408 409 3647

April 23, 2018

NeuroMorpho.Org v7.4 released April 16th, 2018

by NeuroMorpho Administrator

Dear colleagues, We’re pleased to announce the April 16, 2018 release of Version 7.4 of NeuroMorpho.Org<http://neuromorpho.org/>, adding 6881 reconstructions from 57 new datasets. The repository now provides access to 86,893 cells from over 50 distinct animal species including numerous new entries (African wild dog, Aplysia, Banded mongoose, Blue wildebeest, Caracal, Clam worm, Ferret, Greater kudu, Lion, Mountain zebra, Red-necked wallaby, and Ring-tailed lemur). Please visit the What’s new page<http://neuromorpho.org/WIN.jsp> for details on the added data and metadata. The literature coverage was also updated to include publications through March 2018, with more than 30,000 mined articles. We are continuously grateful to all data contributors<http://neuromorpho.org/acknowl.jsp#DC> who freely share their hard-won tracings with the community. We appreciate any and all feedback and comments. Our apologies if you receive multiple versions of this message through cross-listing. Sincerely, The NeuroMorpho.Org team<http://neuromorpho.org/acknowl.jsp#NMO> ---------------- Giorgio Ascoli<http://krasnow1.gmu.edu/cn3/ascoli>, PhD University Professor Bioengineering Department<http://bioengineering.gmu.edu/>, Volgenau School of Engineering<http://volgenau.gmu.edu/> Neuroscience Program<http://neuroscience.gmu.edu/>, Krasnow Institute for Advanced Study<http://krasnow1.gmu.edu/> Director, Center for Neural Informatics, Structures, & Plasticity<http://krasnow1.gmu.edu/cn3> MS2A1 - George Mason University<http://gmu.edu/>, Fairfax, VA 22030-4444 Ph. +1(703)993-4383/+1(703)673-8894 Author of “Trees of the Brain, Roots of the Mind<http://www.amazon.com/Trees-Brain-Roots-Giorgio-Ascoli/dp/0262028980/>” (MIT Press, 2015<http://mitpress.mit.edu/books/trees-brain-roots-mind>) Founding Editor-in-Chief, Neuroinformatics<http://link.springer.com/journal/12021>

April 22, 2018

KogWis2018 deadline extension

by Constantin Rothkopf

KogWis 2018: 14th Biannual Conference of the German Cognitive Science Society Centre for Cognitive Science, Technische Universität Darmstadt S1|05: Hörsaal 122, Maschinenhaus, Magdalenenstraße 12 Darmstadt, Germany, September 3-6, 2018 http://www.tu-darmstadt.de/kogwis2018 ****** By popular demand, the submission deadline for abstracts has been extended to May 1st. ***** ** ******* Also, please note the call for Tutorials and Symposia at the end of this mail. ***** ** ******* GK Best Paper award, GK Best Poster awards, and Student Travel awards announced. ***** * *Call for Presentations and Posters* We call for extended abstracts for oral presentations and for posters. Submissions should be written in English, and be formatted according to the formatting guidelines below. Contributions must be submitted by May 1st 2018 via the EasyChair submission webpage: https://easychair.org/conferences/?conf=kogwis2018 All submissions will be peer-reviewed by members of the review committee. Acceptance will be based on novelty of research, significance of results, and quality of presentation. Accepted abstracts will be published in the online conference proceedings. All accepted contributions must be presented at the conference. So at least one author must register by the early registration deadline or the contribution will not be included in the program. The best submissions to KogWis 2018 will be selected for oral presentation at the conference. *Call for Symposia* Submission is now open for proposals for symposia to be presented at KOGWIS2018. The deadline for submitting a symposium proposals is May 11th, 2018. A symposium should involve several presenters, typically 4-5, organized around a topic of interest. Symposia may be on any topic in cognitive science. The KOGWIS program committee will strive for quality, variety, innovation, and diversity of the program; special emphasis will be put on this year's topic: computational approaches to cognitive science. Please submit proposals for a symposium directly as a single abstract for the symposium topic. On the second page of the abstract, please list the speakers who will be participating in the symposium and the title of their contributions. Send the the two page abstract via e-mail with the subject "Symposium proposal" directly to: kogwis2018(a)cogsci.tu-darmstadt.de *Call for Tutorials* We invite proposals for tutorials to be held at KOGWIS2018. The KOGWIS program committee is interested in tutorials that disseminate information to conference attendees on recently emerging topics and trends as well as foundation topics, provide surveys of complementary techniques to those commonly studied in cognitive science, and inform attendees on the state-of-the-art within the field. We encourage submissions of proposals on topics in the general areas of cognitive science but particularly encourage tutorials on computational approaches to cognitive science. Please submit proposals for a tutorial directly as one abstract for the tutorial topic according to the same guidelines as regular abstracts via e-mail with the subject "Tutorial proposal" directly to: kogwis2018(a)cogsci.tu-darmstadt.de *GK Best Paper Award (2016-2018)* The GK Best Paper Award is awarded for the best publication in cognitive science by a young investigator whose PhD has been awarded within the last three years or who is still earning a PhD. Applications are accepted for peer reviewed papers, which have been accepted for publication or have been published since May 2016. Applications should be submitted by June 1st 2018 via e-mail to the head of the GK (vs1(a)gk-ev.de) and include a single PDF document with: - the published paper, - the publication data or the notification of acceptance of the journal or conference, - a CV including publication record. The prize will be awarded at KogWis 2018 and the awardee will be given the opportunity to present their work in a dedicated program slot. *GK Best Poster & Presentation Award* Each paper accepted for publication at KogWis 2018 will be eligible for the KogWis 2018 Best Paper Award. There will be three awards in total: 1st place 250 €, 2nd place 150 €, 3rd place 100 €. *GK Student travel award* The GK society sponsors four student travel grants for student members of the GK to attend KogWis. Students need to be or become a member of the GK to be eligible. The travel to KogWis 2018 will be supported by an amount of 250€. Selection Criteria are: involvement at the conference (paper or poster contribution) & application date. Please send your application to kogwis2018(a)cogsci.tu-darmstadt.de with the subject "KogWis Student Travel Grant Application". KogWis 2018 will be held in Darmstadt, Germany, and invites submissions of extended abstracts on current work in cognitive science. Generally all topics related to cognitive science are welcome. Contributions that address the focus of this meeting, that is, computational cognitive science are particularly encouraged. Computational approaches to cognitive science emphasize formalizing adaptive and intelligent behavior and have strong ties to machine learning and artificial intelligence. *Confirmed keynote speakers:* Frances Egan (Rutgers University) Noah Goodman (Stanford University) Máté Lengyel (University of Cambridge) Iris van Rooij (Radboud University Nijmegen) Christopher Summerfiled (University of Oxford) *Important Dates* Main conference: 03 - 06 September 2018 Submission deadline for extended abstracts: Friday, 01 May 2018 ***** extended ***** Notification of acceptance (presentations or posters): Monday, 28 May 2018 Early registration deadline: Monday, 02 July 2018 PhD Student Workshop Deadline: Monday, 23 July 2018 We are looking forward to meeting you in Darmstadt, Constantin Rothkopf, Dirk Balfanz, Ralf Galuske, Frank Jäkel, Kristian Kersting, Jakob Macke, Betty Mohler

April 22, 2018

EXTENDED DEADLINE -- InSpire - New Insights on Complex Neural Dynamics - 6-8 June - Paris

by A. Torcini

The deadline for registration has been extended to 20th May 2018 ================================================= The following workshop in (computational) neuroscience InSpire - New Insights on Complex Neural Dynamics will be held on June, 6th-8th, 2018, at Institut d'Etudes Avancés - Maison Internationale de la Recherche at Neuville-sur-Oise (30 minutes from Paris with public transports) https://inspire2018parisseine.wordpress.com/ The workshop will represent an opportunity to bring together views from experimental and computational neuro-scientists as well as experts in the dynamics of complex systems. A common aim is to improve the knowledge of the mechanisms underlying neural activity in the brain. INVITED SPEAKERS: https://inspire2018parisseine.wordpress.com/page/ For registration, poster presentation and more details see here: https://inspire2018parisseine.wordpress.com/about/ extended deadline for registration: 20th MAY, 2018. The Organizers, Bruno Cessac, Antonio Politi, Marc Timme, and Alessandro Torcini --

April 22, 2018

CfP: 4th International Conference on machine Learning, Optimization & Data science - LOD 2018 Call for Papers - Paper submission deadline: April 30, 2018

by Giuseppe Nicosia

[Apologies if you receive multiple copies of this announcement] [Please kindly help forward it to potentially interested attendees] 4th International Conference on machine Learning, Optimization & Data science - LOD 2018 An Interdisciplinary Conference: Machine Learning, Optimization & Data Science without Borders SIAF Learning Village - Volterra (Pisa) Tuscany, September 13-16, 2018 https://lod2018.icas.xyz/ lod(a)icas.xyz KEYNOTE SPEAKERS ◦ Jörg Bornschein DeepMind, London, UK ◦ Peter Flach University of Bristol, UK - Editor-in-Chief of the Machine Learning Journal ◦ George Karypis University of Minnesota, USA ◦ Martin Ravetti Universidade Federal de Minas Gerais, Brasil ◦ Andrey Raygorodsky Moscow Institute of Physics and Technology, Russia ◦ Stephen Smale - Fields Medal University of California Berkeley, USA More Speakers TBA! ************************* CALL FOR PAPERS ************************* Paper submission deadline: April 30, 2018 https://lod2018.icas.xyz/call-for-papers/ The LOD 2018 conference will consist of four days of main conference sessions. The 4th Annual Conference on machine Learning, Optimization and Data science (LOD) is a single-track machine learning, computational optimization, data science conference that includes invited talks, tutorial talks, special sessions, industrial tracks, demonstrations and oral and poster presentations of refereed papers. We invite submissions of papers, abstracts and posters on all topics related to Machine learning, Optimization and Big Data including real-world applications for the conference proceedings: https://lod2018.icas.xyz/call-for-papers/ Please prepare your paper in English using the Lecture Notes in Computer Science (LNCS) template, which is available http://www.springer.com/computer/lncs?SGWID=0-164-6-793341-0 Papers must be submitted in PDF. LOD 2018 Types of Submissions When submitting a paper to LOD 2018, authors are required to select one of the following four types of papers: + Long paper: original novel and unpublished work (max. 12 pages in Springer LNCS format); + Short paper: an extended abstract of novel work (max. 4 pages); + Work for oral presentation only (no page restriction; any format). For example, work already published elsewhere, which is relevant and which may solicit fruitful discussion at the conference; + Work for poster presentation only. The poster format for the presentation is A0 (118.9 cm high and 84.1 cm wide, respectively 46.8 x 33.1 inch). For research work which is relevant and which may solicit fruitful discussion at the conference. LOD 2018 Post-Proceedings All accepted long papers will be published in a volume of the series 'Lecture Notes in Computer Science' from Springer after the conference. Instructions for preparing and submitting the final versions (camera-ready papers) of all accepted papers will be available later on. All the other papers (short papers, abstract of the oral presentations, poster presentations) will be published on the LOD 2018 web site. LOD 2018 Best Paper Springer sponsors the LOD 2018 Best Paper Award with a cash prize of EUR 1,000. LOD 2018 Submission System All papers must be submitted using EasyChair: https://easychair.org/conferences/?conf=lod2018 DEADLINE: April 30, 2018 LOD 2018 Important Dates + Paper Submission Deadline: April 30, 2018 + Decision Notification to Authors: June 1st, 2018 + Camera Ready Submission Deadline: July 1st, 2018 + Deadline for early Registration as Presenting Author: July 1st, 2018 + Late registration: July 2 – September 16, 2018 + On-Site registration: September 13-16, 2018 + LOD 2018 conference: September 13-16, 2018 LOD 2018 Registration https://lod2018.icas.xyz/registration/ LOD 2018 Program Committee The current LOD 2018 Program Committee includes about 300 Program Committee members: https://lod2018.icas.xyz/program-committee/ Any questions regarding the submission process can be sent to conference organizers: lod(a)icas.xyz We look forward to seeing you in Tuscany! LOD 2018 Chairs & Organizing Committee. https://lod2018.icas.xyz/ lod(a)icas.xyz MOD 2017 Keynote Speakers: Yi-Ke Guo, Imperial College London, UK. Founding Director of Data Science Institute Panos Pardalos, University of Florida, USA. Director of the Center for Applied Optimization Ruslan Salakhutdinov,Carnegie Mellon University, USA. Director of AI Research at Apple. My Thai, University of Florida, USA Jun Pei, Hefei University of Technology, China Vincenzo Sciacca, Cloud and Cognitive Division – IBM Rome, Italy http://www.taosciences.it/mod/keynote-speakers/ MOD 2016 Keynote Speakers: Nello Cristianini, University of Bristol, UK George Michailidis, University of Florida, USA Stephen Muggleton, Imperial College London, UK Panos Pardalos, University of Florida, USA http://www.taosciences.it/mod-2016/keynote-speakers/ MOD 2015 Keynote Speakers: Vipin Kumar, University of Minnesota, USA Panos Pardalos, University of Florida, USA Tomaso Poggio, MIT, USA http://www.taosciences.it/mod-2015/MOD 2015 Best Paper Award of the Previous Editions: https://lod2018.icas.xyz/best-paper-award/

April 22, 2018

Postdoctoral and PhD Neuroinformatic positions

by Yasser Iturria Medina

*Postdoctoral Fellow in Multifactorial Brain Computational Modeling at Montreal Neurological* *Institute*. We are looking for a highly motivated postdoctoral student, for joining the Neuroinformatics for Personalized Medicine lab (NeuroPM) at MNI (McGill University, Montreal, Canada). The postdoc will be under the supervision of Prof. Yasser Iturria-Medina, and will be expected to collaborate with multiple associated groups (e.g. Alan C. Evans’s and Vladimir Hachinski’s groups). The project, extendable at least for two years, includes the modeling of direct multifactorial brain interactions, intra-brain network spreading of aberrant effects and identification of potential therapeutic signals for multiple disorders (e.g. Alzheimer’s disease, frontotemporal dementia, schizophrenia, multiple sclerosis). The NeuroPM lab is affiliated with the Healthy brain for Healthy Lives (HBHL) initiative (https://www.mcgill.ca/hbhl/) and the Ludmer Center ( http://ludmercentre.ca/) both involving computationally intensive and interdisciplinary research on the brain. The MNI, the largest training centre for brain research in Canada, is an internationally renowned institution, characterized by the integration of research and patient care. The interested candidates should have a solid background in mathematical and computational modeling, and advanced programming skills in Matlab. Experience in brain imaging will be an asset. The selected candidate will be expected to start around September 1st, 2018. Contact: Yasser Iturria Medina, Email: iturria.medina(a)gmail.com *PhD in Multiscale Brain Computational Modeling at Montreal Neurological Institute*. We are looking for a highly motivated PhD student, for joining the Neuroinformatics for Personalized Medicine lab (NeuroPM) at MNI (McGill University, Montreal Canada). The PhD student will be under the supervision of Prof. Yasser Iturria-Medina, and will be expected to collaborate with multiple associated groups (e.g. Alan C. Evans’s and Vladimir Hachinski’s groups). The project includes the modeling of molecular interactions, intra-brain network spreading of aberrant effects and the identification of potential therapeutic signals for multiple disorders (e.g. Alzheimer’s disease, frontotemporal dementia, schizophrenia, multiple sclerosis). The NeuroPM lab is affiliated with the Healthy brain for Healthy Lives (HBHL) initiative (https://www.mcgill.ca/hbhl/) and the Ludmer Center ( http://ludmercentre.ca/) both involving computationally intensive and interdisciplinary research on the brain. The MNI, the largest training centre for brain research in Canada, is an internationally renowned institution, characterized by the integration of research and patient care. Students with interest in mathematical and computational modeling of the brain are invited to apply. Experience in Matlab programming and brain imaging will be an asset. The selected candidate will be expected to start between the fall of 2018 and the winter of 2019. Contact: Yasser Iturria Medina, Email: iturria.medina(a)gmail.com -- Yasser Iturria Medina, PhD. Montreal Neurological Institute McGill University Publications: http://scholar.google.com/citations?user=-aFepXoAAAAJ&hl=es

April 21, 2018

ANNPR 2018: Deadline extended to May 15

by Friedhelm Schwenker

8th IAPR TC3 International Workshop on Artificial Neural Networks in Pattern Recognition (ANNPR 2018) September 19-21, 2018 DIISM, Università di Siena, Tuscany (Italy) URL:http://annpr2018.diism.unisi.it/ Sponsored by the International Association for Pattern Recognition (IAPR) *** The submission deadline is extended to May 15, 2018 *** New Important Dates Paper submission (extended): May 15, 2018 Notification of acceptance: June 15, 2018 Camera ready due: June 25, 2018 Early registration: June 30, 2018 Workshop: Sept. 19-21, 2018 (Wed to Fri) The Workshop proceedings will be published in the Springer LNAI series ANNPR 2018 invites papers that present original work in the areas of neural networks and machine learning oriented to pattern recognition, focusing on their algorithmic, theoretical, and applied aspects. Topics of interest include, but are not limited to: Methodological Issues - Supervised, partially supervised, and unsupervised learning - Feed-forward, recurrent, and competitive neural nets - Kernel machines - Hierarchical modular architectures and hybrid systems - Combination of neural networks and Hidden Markov models - Multiple classifier systems and ensemble methods - Probabilistic graphical models - Deep architectures Applications to Pattern Recognition - Image processing and segmentation - Handwritten recognition and Document analysis - Sensor-fusion and multi-modal processing - Feature extraction, dimensionality reduction - Clustering and vector quantization - Speech and speaker recognition - Data, text, and web mining - Bioinformatics/Cheminformatics ANNPR2018 is organized by the Technical Committee 3 (IAPR TC3) on Neural Networks & Computational Intelligence of the International Association for Pattern Recognition (IAPR). As such, we particularly encourage submissions that fit the Manifesto and the research directions of the TC3 (seehttp://iapr-tc3.diism.unisi.it/Research.html) Paper Submission: Perspective Authors shall submit their paper in Springer LNCS/LNAI format. Instructions for Authors, LaTeX templates, etc. are available at the Springer LNCS/LNAI web-site (seehttp://www.springer.com/it/computer-science/lncs/conference-proceedings-…) The maximum paper length is 12 pages. Submission of a paper constitutes a commitment that, if accepted, at least one of the Authors will complete an early registration to the workshop. On-line submission via EasyChair will be made available in due time through the ANNPR2018 website. For more information, please visit us at: http://annpr2018.diism.unisi.it/ Do not hesitate to contact the ANNPR2018 Chairs for any inquiries. ANNPR2018 Chairs Luca Pancioni, Università di Siena, Italy Friedhelm Schwenker, Ulm University, Germany Edmondo Trentin, Università di Siena, Italy -- PD Dr. Friedhelm Schwenker University of Ulm Institute of Neural Information Processing D-89069 Ulm, Germany phone: +49-731-50-24159 fax: +49-731-50-24156 email: friedhelm.schwenker(a)uni-ulm.de www: http://www.uni-ulm.de/in/neuroinformatik/mitarbeiter/f-schwenker.html

April 20, 2018

Bayes annd Information Theory ebooks

by James V Stone

These books are now available as ebooks: Information Theory: A Tutorial Introduction (plus report at https://arxiv.org/abs/1802.05968) Bayes’ Rule: A Tutorial Introduction to Bayesian Analysis Bayes’ Rule With MatLab Bayes’ Rule With Python Bayes’ Rule With R via Amazon and this web site: http://jim-stone.staff.shef.ac.uk/BookBayes2012/books_by_jv_stone/index.html All ebooks above are pdf files (my kindle books are essentially pdf files), and one (Bayes’ Rule: A Tutorial Introduction to Bayesian Analysis) is available in re-flowable epub format from here: https://sebtel.selz.com/ (Getting the epub format to display equations correctly is tricky, which is why only one of my books has been produced in epub format). Finally, the following book will be published on 8th June 2018 (Crick's birthday) Principles of Neural Information Theory James V Stone -- Dr James V Stone Honorary Reader, Sheffield University, UK. http://jim-stone.staff.shef.ac.uk/BookBayes2012/books_by_jv_stone/index.html

April 20, 2018

Postdoc position in Geometric Methods for Deep and Reinforcement Learning at RIST

by Luigi Malagò

=========================================================== *Subject*: Postdoc position in Machine Learning (1 year, renewable up to 2.5 years) *Institution*: RIST - Romanian Institute of Science and Technology, Cluj-Napoca *Keywords*: Deep Learning, Reinforcement Learning, Stochastic Optimization, Optimization over Manifolds, Information Geometry, Riemannian Geometry *Application deadline*: 06 May 2018 (applicants are encouraged to apply earlier) *Salary*: around 2190 euro net *Official announcement*: http://rist.ro/en/details/news/postdoc-positio ns-in-deep-learning-and-machine-learning.html =========================================================== Dear colleagues, the Romanian Institute of Science and Technology (RIST) has an opening for a postdoc position, in the context of the DeepRiemann project “Riemannian Optimization Methods for Deep Learning”, funded by European structural funds through the Competitiveness Operational Program (POC 2014-2020). The appointments will be for 1 year, with possible extensions up to 2.5 years. The DeepRiemann project aims at the design and analysis of novel training algorithms for Neural Networks in Deep Learning, by applying notions of Riemannian optimization and differential geometry. The task of the training a Neural Network is studied by employing tools from Optimization over Manifolds and Information Geometry, by casting the learning process to an optimization problem defined over a statistical manifold, i.e., a set of probability distributions. The project is highly interdisciplinary, with competences spanning from Machine Learning to Optimization, Deep Learning, Statistics, and Differential Geometry. The objectives of the project are multiple and include both theoretical and applied research, together with industrial activities oriented to transfer knowledge, from the institute to a startup or spin-off of the research group. The positions will be part of the new Machine Learning and Optimization group http://luigimalago.it/group.html, which performs research at the intersection of Machine Learning, Stochastic Optimization, Deep Learning, and Optimization over Manifolds, from the unifying perspective of Information Geometry. The group is one of two newly-formed groups in Machine Learning at RIST, where about 20 new postdoctoral research associates and research software developers will be hired by 2018. The official job announcement can be seen here: http://rist.ro/en/details/news/postdoc-positions-in-deep- learning-and-machine-learning.html Informal inquiries can be sent to Dr. Luigi Malagò <malago(a)rist.ro>, principal investigator of the DeepRiemann project. Application deadline: 06 May 2018 (applicants are encouraged to apply earlier) best regards, Luigi Malagò

April 20, 2018

Conference announcement: "Social cognition in humans and robots"

by Alexander Maye

Social cognition in humans and robots September 27-28, 2018 University Medical Center Hamburg-Eppendorf, Hamburg, Germany Over decades, a range of theories and concepts for explaining how we understand others have been developed. This conference turns the spotlight on the idea that social cognition is grounded in sensorimotor and informational dynamic coupling of agents. According to this view, interaction dynamics is one of the keys to understand the mechanisms of successful social interaction because it provides substantial clues to social understanding and gives rise to high-level capabilities such as joint shared intentionality and joint action. Moreover it suggests that many disturbances of social cognition may be rooted in the impaired capacity for entraining and sustaining sensorimotor and informational coupling. The conference will provide an interdisciplinary podium which overviews trends and recent developments of concepts, methods, basic research and applications of sensorimotor approaches in social cognitive science, neuroscience, and robotic research. A particularly interesting question will be how concepts and methods from social cognitive and neuroscience transfer to human-robot interaction. The meeting will also gauge the societal impact of progress in understanding dynamic coupling processes in human-human and human-robot interactions. The event is organized by the FET Proactive H2020 project "Socializing Sensorimotor Contingencies - soSMCs" (socSMCs.eu) in partner alliance with the European Society for Cognitive Systems - EUCog (eucognition.org) Keynote speakers - Natalie Sebanz (Central European University, Hungary) - Antonia Hamilton (University College London, UK) - Scott Kelso (Florida Atlantic University, USA) - Luciano Fadiga (University of Ferrara and IIT, Italy) - Iain Couzin (University of Konstanz, Germany) - Paul Verschure (Institute for Bioengineering of Catalonia, Spain) Submissions - Conference contributions (talks, posters) - Research articles (to be published in a Frontiers Research Topic) - Venues for the EUCognition meeting in 2019 For all submission types, please send an abstract of no more than 1.000 words to conference2018(a)socSMCs.eu and indicate the type of your contribution (poster|talk|article|venue), the title (500 characters max.), all author names and affiliations. Important dates - May 25, 2018: Deadline for submission of abstracts - June 29, 2018: Registration closes - December 3, 2018: Submission of research articles Fee The registration fee of 110€ includes coffee, soft drinks and snacks on both days. On September 27th, a social dinner at an extra charge of 20€ will be hosted at the MS Cap San Diego (http://www.capsandiego.de/in-brief.html).Booking of the social dinner is only possible in combination with a conference registration. Register today at https://en.xing-events.com/TEHHWXM -- _____________________________________________________________________ Universitätsklinikum Hamburg-Eppendorf; Körperschaft des öffentlichen Rechts; Gerichtsstand: Hamburg | www.uke.de Vorstandsmitglieder: Prof. Dr. Burkhard Göke (Vorsitzender), Prof. Dr. Dr. Uwe Koch-Gromus, Joachim Prölß, Martina Saurin (komm.) _____________________________________________________________________ SAVE PAPER - THINK BEFORE PRINTING

April 20, 2018

7th International Summer School of Neuroengineering "Massimo Grattarola": reminder!

by Paolo Massobrio

Dear colleagues, Just a simple reminder! Still 1 month left for the application deadline of the 7th International Summer School of Neuroengineering "Massimo Grattarola" (Neurotechnologies and Computational Methods to Interact with the Brain) that will be held in Genova (Italy) 18th-22nd June 2018. On our website (www.neuroengineering.eu <http://www.neuroengineering.eu> ) you can find the final program of the lectures. The keynote speech will be given by Prof. Miguel Nicolelis (Duke University). The school aims to introduce computational and technological methods to PhD students and post-docs of different backgrounds (life sciences, physics, engineering) to interact with the brain. Dates: 18th-22nd June 2018 Location: Genova (Italy) Registration: Participation is limited to 60 attendees (students, post-docs, .). Registration close 20th May. Website: www.neuroengineering.eu <http://www.neuroengineering.eu> Poster session: Students attending the school will have the opportunity to present their results in a two-days poster session. Practical session: Use of a high-density EEG set-up and a multi-electrode array for in vitro applications. Confirmed speakers: Miguel Nicolelis (Duke University), Shimon Marom (Technion Israel Institute of Technology), Matias Palva (Univ. Helsinki), Andreas Hierlemann (ETH), Tim Harris (Janelia Research Campus), Lucilla de Arcangelis (Univ. of Campania), Annalisa Bonfiglio (Univ. Cagliari), Sylvie Renaud (Bordeaux INP), Valentina Pasquale (Italian Institute of Technology), Michele Giugliano (Univ. Antwerp), Michele Migliore (CNR), Silvia Casarotto (Univ. Milano), Michela Chiappalone (Italian Institute of Technology), Stanisa Raspopovic (ETH), Ioannis Isaias (Uni. Wurzburg), Mario Rosanova (Uni. Milano) Best regards Paolo Massobrio _________________________________________________ Paolo Massobrio, PhD Assistant Professor of Bioengineering Neuroengineering and Bio-Nano Technology - NBT - Lab Department of Informatics, Bioengineering, Robotics and System Engineering - DIBRIS University of Genova Via Opera Pia 13, 16145, GENOVA, ITALY Phone: +39-010-3532761 Fax: +39-010-3532764 URL: <http://www.dibris.unige.it/> www.dibris.unige.it; <http://www.nbt.unige.it> www.nbt.unige.it E-mail: <mailto:paolo.massobrio@unige.it> paolo.massobrio(a)unige.it

April 20, 2018

Workshop on topology and neuroscience - First announcement

by Nicolas Ninin

Dear colleagues, We are pleased to announce the first workshop on topology and neuroscience, which will be held from Wednesday, November 28, to Friday, November 30, 2018 at the EPFL campus in Lausanne, Switzerland. This workshop aims at bringing together people working at the intersection of topology and neuroscience and welcomes anyone who has an interest in these subjects. There will be two lecture series by: Carina Curto, Pennsylvania State University Olaf Sporns, Indiana University There will be contributed talks given by: Paul Expert, Imperial College London Eyal Gal, The Hebrew University of Jerusalem Chad Giusti, University of Delaware Jürgen Jost, Max-Planck-Institut für Mathematik in den Naturwissenschaften in Leipzig Tom Leinster, University of Edinburgh Ran Levi, University of Aberdeen Sofia Olhede, University College London Jose Perea, Michigan State University Erik Rybakken, Norwegian University of Science and Technology (TBC) Bernadette Stolz, University of Oxford Katharine Turner, Australian National University Hubert Wagner, Institute of Science and Technology Austria Additionally, there will be a poster session during the workshop. Registration is now open at the conference website: <https://neurotop2018.org/> https://neurotop2018.org/ and will close September 1, 2018 or when we reach capacity. We have limited funding for students to cover local expenses. Applications for such funding is now open at the conference website and will close on July 1, 2018. All additional relevant information regarding the conference will continuously be updated on the conference website. In particular, travel information on how to get to EPFL as well as suggested accommodation options are already detailed there. You can contact the organizers at neurotop2018(a)neurotop2018.org. With best regards, Nicolas Nininon behalf of the organzing committee Stefania Ebli Daniela Egas Santander Nicolas Ninin Gard Spreemann

April 19, 2018

Call for Papers MICCAI International Workshop on Machine Learning for Clinical Neuroimaging (MLCN): Spatially Structured Data Analysis

by Marquand, A.F. (Andre)

Call for Papers MICCAI International Workshop on Machine Learning for Clinical Neuroimaging (MLCN): Spatially Structured Data Analysis (September 20, 2018, Granada, Spain) Recent advances in neuroimaging and statistical machine learning provide an exceptional opportunity for investigators and physicians to discover complex relationships between brain, behaviors, and mental and neurological disorders. MLCN 2018 workshop (https://mlcn2018.com/) as a satellite event of MICCAI 2018 (http://www.miccai2018.org/en/) aims to bring together researchers in both theory and application from various fields in domains of spatial statistics, pattern recognition in neuroimaging, and predictive clinical neuroscience. Topics of interests include but are not limited to: * Applications of spatio-temporal modeling in predictive clinical neuroscience * Spatial regularization in decoding clinical neuroimaging data * Spatial statistics in neuroimaging * Learning with structured inputs and outputs in clinical neuroscience * Multi-task learning in analyzing structured neuroimaging data * Deep learning in analyzing structured neuroimaging data * Model stability and interpretability in clinical neuroscience Submission Process: The workshop seeks high quality, original, and unpublished work on algorithms, theory, and applications of machine learning in clinical neuroimaging and spatially structured data analysis. Papers should be submitted electronically in Springer Lecture Notes in Computer Science (LCNS) style (https://www.springer.com/gp/computer-science/lncs/conference-proceedings-gu…) of up to 8-pages papers using the CMT system at https://cmt3.research.microsoft.com/MLCN2018<https://mail.ru.nl/owa/redir.aspx?C=cF_JmZM8kIynrj31nweTMkQwN3oMG8T7g2yKH7j…>. This workshop uses a double-blind review process in the evaluation phase, thus authors must ensure anonymous submissions. Accepted papers will be published in a joint proceeding with the MICCAI conference. Important Dates: * Paper submission deadline: June 11, 2018 (23:59 PST) * Notification of Acceptance: July 16, 2018 * Camera-ready Submission: July 23, 2018 * Workshop Date: September 20, 2018

April 19, 2018

CALL FOR PAPERS

by Steve Mehrkanoon

*CALL FOR PAPERS* *Special issue* Neural Systems Engineering and Mathematical Modelling of Brain Dynamics using ECoG/EEG/MEG Oscillations and Machine Learning Methods *Journal* IEEE Transactions on Neural Systems and Rehabilitation Engineering *Publication fee: **Free* Paper Submission Deadline: *31/05/2018* Submission portal: *https://mc.manuscriptcentral.com/tnsre-embs* <https://mc.manuscriptcentral.com/tnsre-embs> *PhD students, postdocs, early and mid career research fellows **are **welcome to **contribute to this spe**cial iss**ue**. * *Contributions will receive prompt and thorough peer review and will be published online ahead of print after acceptance.* In humans, interactions between neuronal circuits, systems and signals among micro-, meso- and macro-scales of brain dynamics underpin the functional organisation of the brain that supports our daily life activity. How efficiently neuronal circuits such as cortico-cortical, cortico-thalamic and thalamo-cortical networks interact among these multiple spatial scales remains to be fully elucidated. Mathematical, computational and experimental neuroscientists apply a variety of methods, techniques and algorithms, both in animals and humans, ranging from single cell recordings to whole brain imaging, in order to identify the core mechanisms that govern the interactions among these scales. Although our knowledge of neural mechanisms, circuits and networks underlying brain dynamics and functions constantly grows, the integration of this knowledge to provide a conceptual framework of emergent behaviour and pattern formation occurring on different levels of spatial organisation remains challenging. Authors are invited to submit original or review articles addressing mechanisms of emergent brain dynamics inferred from the analysis of ECoG/EEG/MEG, on all levels of complexity. Specifically, articles integrating (i) computational neuroscience, and (ii) mathematical models of biologically realistic neuronal networks and machine learning methods are welcome. In this special issue, Guest Editor Dr Steve Mehrkanoon welcomes papers that address many of the challenges of mathematical and computational models of the brain networks and dynamics given the measurement data ECoG/EEG/MEG. The scope of this special issue is interdisciplinary. The list of possible topics includes, but is not limited to: - New developments in computational and mathematical models of mean field theory integrated with ECoG/EEG/MEG modalities - Multi-modal and combinatorial fusion of ECoG/EEG/MEG data and brain connectivity machine learning - Development of data-driven machine learning techniques to identify the mechanisms of emergent spatia-temporal dynamics within the framework of network topology - Development of computational and mathematical models for bridging the scales of brain dynamics - Cortical network modelling and formal conceptual models of cortical oscillations - Application of deep learning and machine learning algorithms in functional, structural and effective network analysis and predictive models of brain dynamics. - New cutting-edge numerical analysis and techniques to simulate/implement - Adaptive mathematical and computational models of network dynamics (e.g., brain development and aging studies) - Statistical methods for assessing individual and population brain connectivity data *Guest Editors* 1. *Dr Steve Mehrkanoon* The University of Queensland Centre for Clinical Research, Faculty of Medicine, School of Information Technology and Electrical Engineering, The University of Queensland, Brisbane, Australia Contact: s.mehrkanoon(a)uq.edu.au 1. *Professor David Liley* Centre for Human Psychopharmacology, School of Health Sciences, Swinburne University of Technology, Melbourne, Australia Contact: dliley(a)swin.edu.au 1. *Dr Siamak Mehrkanoon* Department of Electrical Engineering (ESAT), University of Leuven, KU Leuven, Belgium Contact: Siamak.Mehrkanoon(a)esat.kuleuven.be *IMPORTANT DATES* Paper Submission Deadline: 31/05/2018 Notification Of Acceptance: 31/08/2018 Special issue information https://tnsre.embs.org/2018/04/13/call-for-papers-special-issue-on-neural-s… - - - - *Dr Steve Mehrkanoon* Senior Mathematical Neuroscientist, Advance Queensland Research Fellow, Perinatal Research Centre, Faculty of Medicine, Home: http://researchers.uq.edu.au/researcher/14135 Level 4, UQ Centre for Clinical Research, Building 71/918 <https://www.google.com.au/maps/place/UQCCR/@-27.448514,153.028703,15z/data=…> Royal Brisbane and Women’s Hospital, Qld 4029 T: +61 7 33466012 CIRCOS Code 0025B The Faculty of Medicine is embracing the Green Office philosophy. 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April 19, 2018