- Comp-neuro - lists.cnsorg.org

Job Openings in Neuromorphic Computing
by Peter Blouw 28 May '19

28 May '19

Applied Brain Research <https://appliedbrainresearch.com/> (ABR) is a company that develops software and builds AI applications <https://www.youtube.com/watch?list=PL0Xs4sfQU-Q1MeTNaizzFWYv1Xz3ua7ZA&v=mua…>using neuromorphic methods and hardware. Our fifteen person team spun out of a computational neuroscience lab at the University of Waterloo, and works with world leading industrial partners and has early access to cutting edge technology to develop the next generation of AI hardware <https://vimeo.com/262517015>. We are growing. We are looking to hire for two positions: an FPGA Design Engineer <https://appliedbrainresearch.com/careers/?jobId=85z2t_rOLoOR>, and a Machine Learning Engineer <https://appliedbrainresearch.com/careers/?jobId=pyH1jqKudezj>. Further details about each position can be found by following the links above. For any general questions, feel free to contact info(a)appliedbrainresearch.com. We look forward to hearing from you!

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Barcelona summer school for Advanced Modelling of Behavior (BAMB!) - Application deadline June 3
by Klaus Wimmer 28 May '19

28 May '19

Applications to the new Barcelona summer school for Advanced Modelling of Behavior (BAMB! <http://www.bambschool.org>) are open until June 3rd. Please see the course website for further details: www.bambschool.org. BAMB! <http://www.bambschool.org> teaches advanced techniques in model-based analysis of behavior (humans and other species) to cognitive and computational neuroscientists at PhD and early career levels. This will be achieved through structured lectures, talks, hands-on tutorials and group project aimed at making knowledge obtained directly applicable to the participants' own research. We want the trainees to acquire both the conceptual bases and the technical skills that will enable them to pursue a full modelling approach on their own when they come back to their lab. The course is intended for PhD students and postdocs in cognitive and computational neuroscience with solid background in computational/quantitative analysis to benefit maximally from the advanced training offered by the course. Proficiency in either Python or Matlab is also required. We will seek a nice blend of experimentalists (cognitive psychology / neuroscience) and theoreticians (with or without experience in cognitive modeling).Female scientists and scientists from underrepresented countries are especially encouraged to apply. Dates and location: September 4-10, downtown Barcelona, Spain Organizers: Chris Summerfield (Oxford / Deepmind) Klaus Wimmer (CRM, Barcelona) Alex Hyafil (UPF/CRM, Barcelona) Confirmed Faculty: Jean Daunizeau (ICM, Paris) Alex Hyafil (UPF/CRM, Barcelona) Kerstin Preuschoff (Geneva) Alfonso Renart (Champalimaud) Maneesh Sahani (UCL) Chris Summerfield (Oxford / Deepmind) Klaus Wimmer (CRM, Barcelona) Angela Yu (UC San Diego) The summer school benefits from the generous support of the William K. and Katherine W. Estes Fund <https://www.psychologicalscience.org/members/awards-and-honors/estes-fund>, from the Sociedad Española de Neurociencia <http://www.senc.es/> and from the Centre de Recerca Matemática <http://www.crm.cat>.

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[CALL FOR PAPERS] IEEE/WIC/ACM International Conference on Web Intelligence (WI'19) 14-17 OCTOBER 2019 Thessaloniki, GREECE
by Gigg Liu 27 May '19

27 May '19

IEEE/WIC/ACM International Conference on Web Intelligence (WI'19) 14-17 OCTOBER 2019 Thessaloniki, GREECE https://webintelligence2019.com/ Sponsored By: Web Intelligence Consortium (WIC) Association for Computing Machinery (ACM) IEEE Computer Society In Cooperation With: Chinese Computer Federation (CCF) CALL FOR PAPERS Web has evolved as an omnipresent system which highly impacts science, education, industry and everyday life. Web is now a vast data production and consumption platform at which threads of data evolve from multiple devices, by different human interactions, over worldwide locations under divergent distributed settings. Such a dynamic complex system demands adaptive intelligent solutions, which will advance know-ledge, human interactions and innovation. Web intelligence is now a cutting edge area which must address all open issues towards deepening the understanding of all Web’s entities, phenomena, and developments. The theme for the WI'19 is: "Web Intelligence = AI in the Connected World". The 18th Web Intelligence conference (WI'19) aims to achieve a multi-disciplinary balance between research and technological disruptive advances in the fields of how intelligence is impacting the Web of People, the Web of Data, the Web of Things, the Web of Trust, and the Web of Health. WI'19 welcomes research, application as well as Industry/Demo track paper submissions in these core thematic pillars under wider topics, which demand WI innovative and disruptive solutions for any of the next indicative sub-topics. Track 1: Web of People Social networks analytics Social media and dynamics User and behavioral modeling Human centric computing Opinion mining Recommendation engines Sentiment analysis Crowdsourcing and social data mining People oriented applications and services Track 2: Web of Data Data science and machine learning Big data analytics Data integration and data provenance Cognitive models Computational models Information search and retrieval Algorithms and knowledge management Knowledge bases and semantic networks Linked data management and analytics Data driven services and applications Track 3: Web of Things IoT data analytics Web infrastructures and devices Mobile web Distributed systems and devices Open autonomous systems Industrial multi-domain web Streaming data analysis Smart city applications and services Track 4: Web of Trust Hidden web analytics Blockchain analytics and technologies Web-scale security, integrity, privacy and trust Web cryptography Fake content and fraud detection Web safety and openness Monetization services and applications Track 5: Web of Health Personalized health management and analytics Health data exchange and sharing Big data in medicine Wellbeing and healthcare in the digital era Omics research and trends Healthcare and medical applications and services The Program Chairs are soliciting contributed technical papers for presentation at the Conference and publication in the Conference Proceedings by ACM. PAPER SUBMISSION Please follow guidelines: https://wi-lab.com/cyberchair/2019/wi19/scripts/submit.php?subarea=Wr/. Papers must be submitted electronically via Cyberchair in standard ACM format (max 8 pages). Submitted papers will undergo a peer review process, coordinated by the International Program Committee. ORGANIZATION General Chairs Georg Gottlob, UK Yannis Manolopoulos, Cyprus Program Chairs Payam Barnaghi, UK Athena Vakali, Greece Steering Committee Chairs Jiming Liu, HK, China Ning Zhong, Japan Track Chairs Panagiotis Bamidis, Greece Marios Dikaiakos, Cyprus Elena Ferrari, Italy Josiane Xavier Parreira, Ireland Herman Purohit, USA Workshop Chairs Dimitrios Katsaros, Greece Rahul Pandey, USA Demo Chairs Amelie Gyrard, USA George Pallis, Cyprus Proceedings Editor Theodoros Tzouramanis, Greece Publicity Chairs Karin Becker, Brasil Leonidas Anthopoulos, Greece Yang Liu, Hong Kong Xujuan Zhou, Australia

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Post-doc in Computational Neuroimaging of Decision-Making
by Yannis Delis 26 May '19

26 May '19

We are looking to appoint a postdoctoral fellow to make a leading contribution to an EU-funded project on the neurobiology of human decision making. The post will be based at the School of Biomedical Sciences of the University of Leeds. The aim of our research is to characterise the spatiotemporal dynamics and the computational principles of the brain networks underlying the processing of multisensory information, the formation of perceptual decisions and the execution of subsequent actions. To this end, we use multimodal recordings including neuroimaging (EEG), motor signals (EMGs and kinematics) and behavioural data coupled with advanced multivariate analysis methods and computational modelling. We develop computational methodologies inspired by machine learning, statistical signal processing, information theory and Bayesian modelling to fuse data from different modalities, extract the main patterns of brain activity and characterise their functional roles with respect to the task at hand. The goal of this project will be to unravel the neural representations of the mental processes implicated in the processing of (multi-)sensory information and the formation of perceptual decisions. Candidates must have previous practical experience in EEG recordings and data analysis as evident by a strong track record of publications in international journals. Working knowledge of multivariate data analysis techniques and excellent programming skills in Matlab and/or Python are highly desirable. Interested candidates are invited to contact Dr. Ioannis Delis (*i.delis(a)leeds.ac.uk <i.delis(a)leeds.ac.uk>*), email their CV and briefly explain their interest in this position. Starting date is flexible.

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ReScience C : special issue on 2019 ICLR Reproducibility Challenge in machine learning
by Nicolas Rougier 23 May '19

23 May '19

Dear all, It’s my great pleasure to announce that selected papers from the 2019 ICLR Reproducibility Challenge in machine learning (coordinated by J.Pineau) have been published in ReScience C and are freely accessible at: ReScience C, volume 5, issue 2 (2019), ICLR Reproducibility Challenge 2019 https://rescience.github.io/read/#volume-5-2019. If you’re interested in organizing a challenge or editing a special issue, feel free to contact me. Nicolas Rougier, ReScience C editor-in-chief.

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Call for Papers: Special Issue "Information Theory in Computational Neuroscience"
by Dimitrije Markovic 22 May '19

22 May '19

Dear Colleagues, You are cordially invited to submit a manuscript to Special Entropy Issue "Information Theory in Computational Neuroscience" https://www.mdpi.com/journal/entropy/special_issues/Computational_Neuroscie… Deadline for manuscript submissions: 31 January 2020 With best regards, Claudius Gros and Dimitrije Markovic Abstract ====== Brains empower living organisms with extraordinary information processing capabilities. Complex spatio-temporal dependencies present in their environments may be learned, long- and short-term memories of experiences and plans regarding the future. Importantly, information processing in the brain happens over multiple spatio-temporal scales, from single synapses and synaptic terminals to dendritic trees and neuronal bodies, all the way up to neuronal networks and large brain areas. Hence, it is not surprising that information theory has led to many exciting developments in computational neuroscience, providing tools essential for our modern understanding of the computational principles that govern the development, structure, physiology, and dynamics of the nervous system. In this Special Issue, we aim to bring together neuronal models and neuronal plasticity mechanisms that are grounded in information theory principles, modern inference, and learning algorithms. We welcome submissions that use information theory as the basis for defining generative principles of neuronal dynamics over multiple spatio-temporal scales, which informs our understanding of information processing in the brain. ============================= Dr. Dimitrije Markovic Post-Doc at Technische Universität Dresden, Department of Psychology, Dresden, Germany Lab website: https://tu-dresden.de/mn/psychologie/ifap/ni Phone: +49-351-463-43146 Personal website: http://dimarkov.github.io/ =============================

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Post-doctoral post in Madrid Brain Dynamics of addiction
by jose luis perez velazquez 21 May '19

21 May '19

*Post-Doc position*: *Dynamics of brain activity in addiction and compulsive reward-seeking* Responsible for electrophysiological recordings in behaving animals (rats) using rodent models of reward-seeking and addiction. One year*, starting immediately* Location: Madrid-Spain Dedication: Full time Experience with in vivo electrophysiological recordings in freely behaving animals is required. It would be an asset if the incumbent has some experience with the Skinner box, but is not required (teaching will be provided). Data analysis will involve the scrutiny of brain dynamic patterns in the rodents’ brains during addictive behaviours, using MATLAB codes already available from the investigators. Experience with basic data analysis will be an advantage as well. Contact: Fivos Panetsos, Professor fivos(a)ucm.es Director, Neuro-computing & Neuro-robotics Research Group Complutense University of Madrid Director, Neural Plasticity Research Group Health Research Institute, San Carlos Clinical Hospital (IdISSC), Madrid

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ICTALS 2019 registration open
by Goodfellow, Marc 21 May '19

21 May '19

Dear All, Registration is now open for ICTALS 2019 at the University of Exeter 2-5th September 2019. Please see: www.exeter.ac.uk/ictals2019/registration/<http://www.exeter.ac.uk/ictals2019/registration/> Early bird registration is open until 31 July 2019 at the following rates: Students £250 Faculty/ Clinician £400 Industry £500 Lived experience (non-scientist) £30 for the first 20 registrants. Spaces are limited, so we would encourage you to register as soon as possible. The International Conference for Technology and AnaLysis of Seizures, 2019 (ICTALS2019) will take place at the University of Exeter, September 2nd - 5th 2019. The goal of this conference is to bring together neurologists, neuroscientists, researchers from quantitative disciplines and people with lived experience of epilepsy in order to work as a community to advance our understanding of epilepsy and develop practical ways to improve diagnosis and treatment. This is the second ICTALS conference, which is an evolution of the previous International Workshop on Seizure Prediction (IWSP) series. The theme for this year's conference will be: "The Epilepsy Journey: from first seizure to treatment and beyond". We will emphasise how advances in our understanding of the dynamics of brain networks can be used to make a difference to people with epilepsy at all points of their journey: from elucidating the causes of the first seizure to diagnosing epilepsy, understanding how ictogenic networks give rise to recurrent seizures and how this insight can inform personalised treatment. To encourage this focus on translatable output of research we will seek to include all relevant communities. In addition to focussing on current scientific, clinical and technological advances, we will take steps to increase accessibility for people with lived experience of epilepsy. For further information see http://exeter.ac.uk/ictals2019 We look forward to seeing you in Exeter in September! Best wishes Marc Goodfellow, on behalf of the local organising committee.

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Places left for training courses before INCF's Neuroinformatics 2019
by Malin Sandström 21 May '19

21 May '19

Dear all, there are still som places left for the (free) training courses we are arranging in Warsaw on August 31, the day before Neuroinformatics 2019. All courses are free to attend for registered participants. The TVB WS explains fundamental principles of full brain network modelling using the TVB open source neuroinformatics platform. Lectures & hands-on sessions allow participants to immediately apply concepts from the lectures to their simulations. http://bit.ly/2Hs9L7h The HBPBrainSim short course introduces participants to the Brain Simulation Platform (BSP). After the course participants will be able to use the BSP to access HPC systems to configure & run simulations and visualize & analyze simulation results. http://bit.ly/2Ht7AQN The course ‘Neuroscience data integration through use of digital brain atlases’, a combination of lectures & hands-on training, introduces participants to a workflow for spatial integration of morphological features in a 3D reference atlas. http://bit.ly/2HqnPOh See https://www.neuroinformatics2019.org/ for more information. Best regards, Malin -- Malin Sandström, PhD Community Engagement Officer malin.sandstrom(a)incf.org International Neuroinformatics Coordinating Facility Karolinska Institutet Nobels väg 15 A SE-171 77 Stockholm Sweden http://www.incf.org

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PhD position in computational neuroscience at the University of Amsterdam (deadline June 6)
by Jorge Mejias 20 May '19

20 May '19

Dear all, A PhD position in computational neuroscience is available at the Cognitive and Systems Neuroscience Group at the Swammerdam Institute for Life Sciences, University of Amsterdam (the Netherlands). The main objective of the project is to investigate the neural mechanisms of multisensory perception and sensory predictions, within the context of a novel theoretical framework of perception and consciousness that is being developed in the Group. These neural mechanisms will be investigated using theoretical and computational approaches based on both biophysically detailed models of corticothalamic circuits and neural network models trained with deep learning strategies. The research is partially funded by the Human Brain Project and will benefit from collaborations with local experimental teams and with other European research groups. The project will be supervised by Jorge Mejias (leader of the Computational Neuroscience Team) and Cyriel Pennartz (head of the Cognitive and Systems Neuroscience Group). We are seeking a highly qualified and motivated candidate with a Master's degree in neuroscience (with strongly developed quantitative skills) or in a related field, including physics, mathematics, computer science, or biomedical engineering. The candidate is expected to have a solid mathematical background (calculus, differential equations, dynamical systems) and strong programming skills (MATLAB, Python). Knowledge in methods of computational neuroscience and deep learning is a plus. English is the official language of the lab, therefore good English communication skills are expected. We offer a full-time appointment for a maximum period of four years (18 months plus a further 30 months after a positive performance evaluation) and should lead to a dissertation (PhD thesis). An educational plan will be drafted that includes attendance to courses and (international) meetings. The gross monthly salary will range from €2,325 in the first year to €2,972 in the final year, according to the Dutch salary scale for PhD candidates. Additional benefits include a holiday allowance and an end-of-year bonus (8% and 8.3% of the gross annual salary, respectively) and generous vacation, pension and social security conditions in accordance with the Collective Labour Agreement of Dutch Universities. Candidates coming from abroad might also be eligible for highly attractive tax benefits. The lab is located in the state-of-the art facilities of the Science Park at the University of Amsterdam, with good communications with other academic facilities and research centers in the city. The University of Amsterdam is one of the top research universities in Europe, with a strong focus on the research area of brain and cognition. Amsterdam is one of the most vibrant cities in Europe, with a rich historical and cultural heritage that includes the UNESCO World Heritage city center and canals, dozens of world-class museums and restaurants, and an exciting nightlife. The city promotes a healthy lifestyle with plenty of outdoor life, parks and recreational areas, an excellent bicycle path network, and an expat-friendly environment. The deadline for applications is June 6th, 2019. Applications may only be submitted online by following the link below (where additional information is also provided): https://www.uva.nl/en/content/vacancies/2019/05/19-292-phd-candidate-in-com… Your application must include a CV (including contact details of two academic references) and a letter of motivation. Please combine these documents in one single attachment and also mention the months (not just years) in your CV when referring to your education and work experience. To enable us to process your application immediately, please quote vacancy number 19-292 and the position you are applying for. For informal inquiries, you may contact Dr. Jorge Mejias (j.f.mejias at uva.nl) of Prof. Cyriel Pennartz (C.M.A.Pennartz at uva.nl). Kind regards, Jorge F. Mejias, PhD Assistant Professor of Computational Neuroscience Cognitive and Systems Neuroscience Group Swammerdam Institute for Life Sciences Amsterdam, the Netherlands -- Jorge F. Mejias, PhD Assistant Professor Cognitive and Systems Neuroscience Swammerdam Institute for Life Sciences University of Amsterdam, 1098XH Amsterdam The Netherlands www.ugr.es/~jmejias

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