May 2018 - Comp-neuro - lists.cnsorg.org

PhD position in (Hearing-Impaired) Auditory Signal Processing at Ghent University (BE)
by Sarah Verhulst 17 May '18

17 May '18

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>

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The 2nd International Neural Dynamics Summer School 2018 - application deadline 15th June 2018
by Tsaneva-Atanasova, Krasimira 17 May '18

17 May '18

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

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8th International Summer School „Multimodal integration of brain measurements in research and clinical practice“
by Uwe Graichen 16 May '18

16 May '18

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

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Neuroplasticity Workshop: From Bench to Machine Learning 13 July 2018 - 14 July 2018 -- University of Surrey near London
by a.gruning＠surrey.ac.uk 16 May '18

16 May '18

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

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Information theory workshop at CNS*2018 -- call for contributed talks
by Joseph Lizier 16 May '18

16 May '18

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

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postdoc @ UCLA: consciousness, AI, blockchain tech
by Hakwan Lau 16 May '18

16 May '18

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/>]

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PhD Position in Computational Neuroscience of sleep/memory at UPF (Barcelona)
by DE SANCRISTOBAL ALONSO, BELEN 15 May '18

15 May '18

*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

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Michael Arbib's autobiography is now open
by Érdi Péter 13 May '18

13 May '18

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

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Postdoc position in Computational Neuroscience in the Clopath lab.
by Clopath, Claudia 12 May '18

12 May '18

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.

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PhD Position in Computational Neuroscience of decision-making at UPF (Barcelona)
by Alexandre Hyafil 12 May '18

12 May '18

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.

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