- Comp-neuro - lists.cnsorg.org

job post: machine learning research scientist at NIMH

by Francisco Pereira

*** HIRING: machine learning research scientist The Machine Learning Team at the National Institute of Mental Health (NIMH) in Bethesda, MD, has an open position for a machine learning research scientist. The NIMH is the lead federal agency for research on mental disorders and neuroscience, and part of the National Institutes of Health (NIH). *** About the NIMH Machine Learning Team Our mission is to help NIMH scientists use machine learning methods to address a diverse set of research problems in clinical and cognitive psychology and neuroscience. These range from identifying biomarkers for aiding diagnoses to creating and testing models of mental processes in healthy subjects. We work with many different data types, including very large brain imaging datasets from various imaging modalities, behavioral data, and picture and text corpora. We have excellent computational resources, both of our own (tens of GPUs for deep learning) and shared within the NIH (a cluster with hundreds of thousands of CPUs, and hundreds of GPUs). As a machine learning research group, we develop new methods and publish in the main machine learning conferences (e.g. NeurIPS and ICLR), as well as in psychology and neuroscience journals. Many of our problems require devising research approaches that combine imaging and non-imaging data, and leveraging structured knowledge resources (databases, scientific literature, etc) to generate explanations and hypotheses. You can find more about our work and publications at https://cmn.nimh.nih.gov/mlt *** About the position We are seeking candidates who are capable of combining machine learning, statistical, and domain-specific computational tools to solve practical data analysis challenges (e.g. designing experiments, generating and testing statistical hypotheses, training and interpreting predictive models, and developing novel models and methods). Additionally, candidates should be capable of visualizing and communicating findings to a broad scientific audience, as well as explaining the details of relevant methods to researchers in a variety of domains. Desirable experience that is not required, but will be considered very favorably: - neuroimaging data processing and analysis (any MRI modality, as well as MEG/EEG) - Bayesian statistical modelling - natural language processing / structured data such as EHR or questionnaires Finally, you should have demonstrable experience coding in languages currently used in data-intensive, scientific computing, such as Python, MATLAB or R. This is an ideal position for someone who wants to establish a research career in method development and applications driven by scientific and clinical needs. Given our access to a variety of collaborators and large or unique datasets, there is ample opportunity to match research interests with novel research problems. We also maintain collaborations outside of the NIH, driven by our own research interests. If you would like to be considered for this position, please send francisco.pereira(a)nih.gov a CV, with your email serving as cover letter. If you already have a research statement, please feel free to send that as well. There is no need for reference letters at this stage. Other inquiries are also welcome. Thank you for your attention and interest!

Feb. 15, 2020

Call for Applications: EADM Summer School on Learning and Decision Making

by Hrvoje Stojic

APPLICATIONS ARE NOW OPEN (until 15 March 2020)! Dates: 8-15 July, 2020 Location: Universitat Pompeu Fabra, Barcelona, Spain Topic: Learning and Decision Making Eligibility to Apply: Early career researchers Further details available at: https://ldmss.org APPLICATION INSTRUCTIONS: https://ldmss.org#apply The 5th EADM Learning and Decision Making summer school will take place from the 8th to the 15th of July in Barcelona, Spain. It will cover a wide range of topics related to learning and decision making, including reinforcement learning, sampling biases, decisions from experience, function learning, category learning and social learning. Participants will receive advanced training and hands-on tutoring on various computational modeling approaches in learning and decision making from experts in the field and will get feedback on their latest research ideas in poster sessions. The program will also include social and group activities in the beautiful city of Barcelona. Confirmed faculty include: Mirta Galesic (Santa Fe Institute) Maarten Speekenbrink (University College London) Johannes Müller-Trede (IESE Business School) Henrik Olsson (Santa Fe Institute) G. Elliot Wimmer (University College London) Mehdi Keramati (City University) Jörg Rieskamp (University of Basel) Elizaveta Konovalova (Max Planck Institute for Human Development) Cecília Nunes (Universitat Pompeu Fabra) More coming soon! The organization team: Gael Le Mens (Universitat Pompeu Fabra) Emmanouil Konstantinidis (University of Warwick) Hrvoje Stojic (University College London) Pantelis P. Analytis (University of Southern Denmark) Mikhail Spektor (Universitat Pompeu Fabra) Feel free to send us any questions at: ldmss(a)protonmail.com or on Twitter @ldmsschool. ----------------------------- Hrvoje Stojic, PhD Postdoctoral researcher University College London Website: [https://hstojic.re/](http://hstojic.re/)

Feb. 15, 2020

[ICDL-2020] Call for Tutorials

by Miguel Solís

Apologies if you receive multiple copies of this call due to cross-posting, please help to distribute among possible interested contributors. CALL FOR TUTORIALS: 10th IEEE International Conference on Development and Learning (ICDL) 7th-10th September 2020, Valparaiso, Chile Web page: https://cdstc.gitlab.io/icdl-2020/ An IEEE Computational Society-sponsored conference ==== Important Dates ==== Tutorial Proposals Open: 15th February 2020 Tutorial Proposals Deadline: 30h April 2020 Tutorial Proposals Notification: 15th May 2020 ==== Overview ==== We invite experts in different areas to organize a tutorial. The goal of tutorials is to provide insights into specific topics through hands-on training and interactive experiences or in-depth state of the art review. Tutorial organizers have several responsibilities, including activities scheduling, publicizing and providing the content on time. ICDL will support the organization with rooms, audio-visual equipment and coffee breaks. ==== Scope and Topics ==== The main list of topics of interest includes, but not limited to: - principles and theories of development and learning; - development of skills in biological systems and robots; - nature vs nurture, developmental stages; - models on the contributions of interaction to learning; - verbal, non-verbal and multi-modal interaction; - models on active learning; - architectures for lifelong learning; - emergence of body and affordance perception; - analysis and modelling of human motion and state; - models for prediction, planning and problem solving; - models of human-human and human-robot interaction; - emergence of verbal and non-verbal communication; - epistemological foundations and philosophical issues; - robot prototyping of human and animal skills; - ethics and trust in computational intelligence and robotics; - social learning in humans, animals, and robots. ==== Submission format ==== Proposals should be maximum of two pages long following the standard IEEE conference style. Proposals should be submitted in PDF format by email to icdl2020(a)ac3e.cl with subject “[Tutorials]”. Proposals should specify the following: Title Organizers Duration (half-day or full-day) A brief description of the topics to be covered Tentative program Target audience and interested groups Website Any logistic requirements such as poster stands, computers, projector, etc. For more information about the conference, travel grants, social events, etc. visit the conference webpage under https://cdstc.gitlab.io/icdl-2020/ ==== Organizing committee ==== General Chairs: Giulio Sandini, and Javier Ruiz-del-Solar Program and Finance Chairs: Nicolás Navarro-Guerrero, and María-José Escobar Bridge Chairs: Minoru Asada, Frédéric Alexandre, and Linda Smith Publicity Chairs: Carmelo Bastos, Maya Cakmak, Angelo Cangelosi, Yukie Nagai, and Emre Ugur Publication Chairs: Pablo Barros, and Haian Wu Tutorials and Workshops Chair: Miguel Solis Travel and Registration Awards Chair: Francisco Cruz Local chairs: Mauricio Araya Webpage Chairs: Cristóbal Nettle, and Patricio Castillo Graphics: Camila Angel Alfaro Best regards from the organizing committee,

Feb. 14, 2020

Postdoctoral fellow for an international collaboration

by Lucia Melloni

Dear all, There is an exciting opportunity for a 2-3 years senior post-doctoral research position to work with Michael Pitts at Reed College, Portland Oregon, USA (https://www.reed.edu/psychology/scalp/) and Liad Mudrik at Tel Aviv University, Tel Aviv, Israel (http://www.mudriklab.tau.ac.il) (location flexible in one of the two labs). Project: International adversarial collaboration <https://science.sciencemag.org/content/366/6463/293?utm_campaign=toc_sci-ma…> on the neural basis of visual consciousness, aimed at testing key predictions of integrated information theory and global neuronal workspace theory. Collaborators include: Lucia Melloni, Stanislas Dehaene, Giulio Tononi, Christof Koch, David Chalmers, Hal Blumenfeld, Floris de Lange, Ole Jensen, Gabriel Kreiman, Huan Luo, Francis Fallon, and others. Required skills: • expertise in advanced data analysis for as many of the following techniques as possible:EEG/MEG, fMRI, ECoG • experience and interest in managing large datasets • experience and interest in cloud-based or local-cluster-based computing • interest and ability to work on team-based projects Start date: Flexible between June and October 2020 To apply: send an email including your CV, research statement, and cover letter to mudrikli(a)tauex.tau.ac.il and mpitts(a)reed.edu by March 30th, 2020

Feb. 14, 2020

PhD Position in Computational Neuroscience, University of Edinburgh

by Chadwick, Angus

Applications are invited for a fully-funded PhD studentship in Computational Neuroscience with Dr. Angus Chadwick at the Institute for Adaptive and Neural Computation in the School of Informatics, University of Edinburgh, commencing September 2020 or later. Exceptional applicants interested in a September 2021 start may also apply. Students should hold, or be close to completion of, an undergraduate or masters degree in physics, mathematics, computer science, engineering, or similar, and be interested in applying their analytical skills to tackle problems in neuroscience. Highly motivated students with other backgrounds may also be considered. The newly-formed Chadwick group focuses on the dynamics of neural populations underlying visual perception and spatial navigation. We use a combination of approaches, including 1) top-down modelling of neural circuit function guided by machine learning and artificial intelligence solutions 2) bottom-up analysis and simulation of neuronal network dynamics, and 3) statistical modelling of large-scale neural recordings. Our long-term goal is to develop a unified theory of the neural circuit computations supporting visual and spatial processing which spans these levels of analysis. We collaborate closely with a number of experimental neuroscience laboratories both in Edinburgh and further afield. Edinburgh is a vibrant and international city with a large student population, and has been voted as “best place to live in Britain”. The School of Informatics maintains an internationally-leading research environment in Computational Neuroscience, Machine Learning and Robotics, with close links to the Centre for Discovery Brain Sciences and the School of Philosophy, Psychology and Language Sciences. Applicants should email Dr. Angus Chadwick directly at angus.chadwick(a)ucl.ac.uk with their CV and a brief statement of interest, or for informal enquiries and discussion. Applications will be considered until the position is filled.

Feb. 12, 2020

International Brain Lab now hiring data scientists!

by Hannah M Bayer

The International Brain Laboratory (https://www.internationalbrainlab.com/) is seeking 3 data scientists, who will play key roles in a large-scale international collaboration in brain research. The International Brain Lab combines the efforts of approximately 50 scientists in 20 laboratories toward understanding the brain-wide basis of a complex behavior. The project will involve recording the activity of millions of neurons in the working brain and building mathematical models of the resulting data. The data sets this project will produce are vast and complex, including physiological recordings, behavioural measurements, and video, all of which must be standardized into common formats, integrated into a single database, and subjected to quality control. These core positions will support both experimental and theoretical work through the entire lifecycle of data, including acquisition, analysis, modeling and dissemination. For more details about the positions, please check out: https://bit.ly/2OLwWwq or https://www.internationalbrainlab.com/opportunities Please address all inquiries about these positions to info+careers(a)internationalbrainlab.org

Feb. 11, 2020

Vacancy project assistent

by Pieter Roelfsema

We have an exciting opportunity for a Project assistant (0,5 fte) for the INTENSE consortium. The consortium develops new implantable devices for the nervous system to increase the quality of life of people that are blind, deaf, paralyzed or suffer from epilepsy. The consortium consists of neuroscientists, technologists, medical doctors, patient societies and companies. The project will not only lead to new fundamental insights and solutions for unmet patient needs, but also to new products and entrepreneurship. Job description You will coordinate all INTENSE related activities. You will interact with the chairman of the consortium (Pieter Roelfsema) on a daily basis to discuss managerial and administrative issues. Besides the daily management and the planning of meetings, you will organize meetings of committees within the consortium and ensure timely reporting of the subprojects. Furthermore, you will establish and maintain relationships with stakeholders including patient groups and industry partners. We expect from you: We will consider highly motivated, self-driven candidates with a degree in neuroscience, (neuro)psychology, biomedical sciences, natural sciences, material science, mathematics, physics, etc. A high level of written and spoken English is required. The ideal candidate will have managerial experience, an understanding of neuroscience and entrepreneurship. You should expect from us: • An exciting research project • Mentoring, supervision and training • Flexible working hours • A stimulating international research environment Environment The partners of INTENSE include the country’s leading fundamental neuroscience research institutes and technical universities. You will be based at the Netherlands Institute for Neuroscience (http://www.nin.nl) in Amsterdam where English is the working language. Appointment We offer an exciting job at a dynamic research institute and an attractive package of fringe benefits. The first appointment is for one year with an extension pending on an evaluation. Salary The salary will be commensurate with experience and institutional guidelines based on the Collective Labour Agreement for Dutch Universities; CAO NU, scale 7-9). The starting salary depends on experience and ranges from € 2.452,- to € 4.274,- before taxes. A 8% holiday allowance and 8.3% year-end bonus are excluded. We offer travel expenses, paid parental leave, flexible working hours and 30 days paid leave per year by fulltime employment. Starting date The starting date is between May and September 2020. To apply Please, send your application to l.van.der.vecht(a)nin.knaw.nl including: 1. A Curriculum Vitae 2. An application letter 3. Two reference letters Applications should be submitted before March 7th 2020. All qualified applicants will receive consideration for employment without regard to race, religion, sexual orientation, nationality, disability, etc. Any acquisition further to this advertisement will not be appreciated.

Feb. 11, 2020

[Call for Participation] First Latin American Summer School on Cognitive Robotics

by Nicolás Navarro-Guerrero

https://www.lacoro.org We are excited to announce our first Latin American Summer School on Cognitive Robotics (LACORO), which aims at making cutting-edge knowledge on Artificial Intelligence for Robotics Applications accessible to everyone, especially in the Southern Hemisphere. Our aims are: - to build a sustainable community of students and researchers in the area of Artificial Intelligence for Robotics, particularly Cognitive Inspired Aspects of AI. - to make cutting-edge scientific topics accessible to everyone. - to overcome the complexity of a multi-cultural and interdisciplinary learning context. **Applications period is now open** Format: We will organize the Summer School in Latin America biennially. LACORO will include cutting-edge lectures and tutorials on Artificial Intelligence and Robotics but also aspects of Human Cognition. Moreover, we will host a hackathon where attendees can acquire hands-on experience on some of the topics of the Summer School. Date and Location: September 3rd to September 5th, 2020 at the Universidad Técnica Federico Santa María, Valparaíso, Chile. Applications: Please visit our website, where you can find more information regarding costs, travel, lodging, along with an application form. Pre-registration is required because there will be a limited number of participants. If you have any questions about the school or the application process, please contact the organizing committee: lacoro(a)innovacionyrobotica.com Best regards from the organizing committee, -- Nicolás Navarro-Guerrero Assistant Professor Department of Engineering, and School of Culture and Society Aarhus University, Denmark E-mail: nng(a)eng.au.dk https://nicolas-navarro-guerrero.github.io/ Aarhus University Finlandsgade 22, building 5125 8200 Aarhus N Denmark Tel.: +45 8715 0000 eng(a)au.dk www.eng.au.dk/en/

Feb. 11, 2020

NSF Neuronex Big Brain Imaging Workshop @ Boston University - April 15-16, 2020

by Chen, Jerry

We are proud to announce the 2020 Big Brain Imaging Workshop hosted jointly by the NSF NeuroNex Nemonic Hub as well as the Boston University Neurophotonics Center! This two-day workshop will take place on Wednesday, April 15th and continue on Thursday, April 16th, 2020 at the Boston University Photonics Center, 8 Saint Mary's Street, Room 906, Boston, MA 02215. The 2020 Big Brain Imaging Workshop is an opportunity to join in the discussion on optical approaches for cellular resolution imaging of neuronal populations that have been highly instrumental for uncovering the principles of neural circuit function. To date, the microscope technology development for imaging the nervous system has largely been focused on applications on a subset of model species with smaller, optically accessible brains (ex. c. elegans, zebrafish, mice). The ability to translate these technologies to species with brains that are both physically larger and less optically accessible remains a challenge. The topic of the workshop is focused on advancing cellular resolution brain imaging techniques in "larger" brains of mammalian species (ex. rats, cats, ferrets, marmosets, macaques). The goal is to bring neuroscientists and optical engineers together to discuss challenges and come up with potential solutions that will pave the way for the next generation of microscopes that can be applied to a greater number of model organisms. Invited Speakers Daniel Aharoni - University of California, Los Angeles Michele Basso - University of California, Los Angeles Adam Charles - Johns Hopkins University Anna Devor - Boston University David Fitzpatrick - Max Planck Institute Florida Emily Gibson - University of Colorado Anschutz Prakash Kara - University of Minnesota Jerome Mertz - Boston University Kristina Nielsen - Johns Hopkins University Anitha Pasupathy - University of Washington Bijan Perasan - New York University Eyal Seidemann - University of Texas, Austin Lei Tian - Boston University Alipasha Vaziri - Rockefeller University Chris Xu - Cornell University In addition to the invited speakers, spots are available for short talks by visiting the registration page and submitting a brief abstract: For more information and free registration, visit: https://nemonic.ece.ucsb.edu/index.php/Big_Brain Jerry Chen, PhD Assistant Professor Department of Biology Boston University www.chen-lab.org<http://www.chen-lab.org> jerry(a)chen-lab.org

Feb. 10, 2020

CFP - 10th IEEE International Conference on Development and Learning (ICDL), Valparaiso Chile

by Nicolás Navarro-Guerrero

CALL FOR PAPERS: 10th IEEE International Conference on Development and Learning (ICDL) (This is the follow-up of the previous ICDL-EpiRob conference series) 7th-10th September 2020, Valparaiso, Chile https://cdstc.gitlab.io/icdl-2020/ An IEEE Computational Society-sponsored conference ==== Important Dates ==== Submission deadline: 15th March 2020 Author notification: 15th May 2020 Camera ready due: 1st July 2020 Conference: 7th-10th September 2020 ==== Overview ==== The IEEE International Conference on Development and Learning (ICDL), previously referred to as ICDL-EpiRob, is the premier gathering of professionals dedicated to the advancement of cognitive and developmental learning. As such, ICDL is a unique conference gathering researchers from computer science, robotics, psychology and developmental studies. ICDL is a highly selective annual international conference that aims to showcase and share the very best interdisciplinary and multidisciplinary research on how humans and animals develop sensing, reasoning and actions. ICDL community focusses on the understanding of how biological agents take advantage of interaction with social and physical environments to develop their cognitive capabilities. Moreover, how this knowledge can be used to improve future computing and robotic systems. We invite submissions for the conference to explore, extend, and consolidate the interdisciplinary boundaries of this exciting research field. ==== Scope and Topics ==== The primary list of topics of interest includes, but not limited to: - principles and theories of development and learning; - development of skills in biological systems and robots; - nature vs nurture, developmental stages; - models on the contributions of interaction to learning; - verbal, non-verbal and multi-modal interaction; - models on active learning; - architectures for lifelong learning; - emergence of body and affordance perception; - analysis and modelling of human motion and state; - models for prediction, planning and problem solving; - models of human-human and human-robot interaction; - emergence of verbal and non-verbal communication; - epistemological foundations and philosophical issues; - robot prototyping of human and animal skills; - ethics and trust in computational intelligence and robotics; - social learning in humans, animals, and robots. ==== Submissions ==== Authors are invited to submit original and unpublished papers of six pages with the possibility of two-extra pages at a fee. Submissions are in the IEEE conference template. Submission will be selected for either oral or poster presentation based on the reviews. Accepted and presented regular six-page paper submissions will be included in the conference proceedings published by IEEE Xplore after the conference. For more information about submissions, travel grants, social events, etc. visit the conference webpage under https://cdstc.gitlab.io/icdl-2020/ ==== Organizing committee ==== General Chairs: Giulio Sandini, and Javier Ruiz-del-Solar Program and Finance Chairs: Nicolás Navarro-Guerrero, and María-José Escobar Bridge Chairs: Minoru Asada, Frédéric Alexandre, and Linda Smith Publicity Chairs: Carmelo Bastos, Maya Cakmak, Angelo Cangelosi, Yukie Nagai, and Emre Ugur Publication Chairs: Pablo Barros, and Haian Wu Tutorials and Workshops Chair: Miguel Solis Travel and Registration Awards Chair: Francisco Cruz Local chairs: Mauricio Araya Webpage Chairs: Cristóbal Nettle, and Patricio Castillo Graphics: Camila Angel Alfaro Best regards from the organizing committee, -- Best regards, Nicolás Navarro-Guerrero https://nicolas-navarro-guerrero.github.io/

Feb. 10, 2020

Brain Informatics 2020 conference, September 18-20, Padova (Italy).

by Samir Suweis

Dear colleagues, we are happy to announce the next Brain Informatics 2020 conference, September 18-20, Padova (Italy) - http://www.bi2020.org/ <http://www.bi2020.org/> The Brain Informatics (BI) conference series has established itself as the world's premier research forum on Brain Informatics, which is an emerging interdisciplinary and multidisciplinary research field with joint efforts from neuroscience, cognitive science, medicine and life sciences, data science, artificial intelligence, neuroimaging technologies, and information and communication technologies. The 13th International Conference on Brain Informatics (BI2020) provides a premier international forum to bring together researchers and practitioners from diverse fields for presentation of original research results, as well as exchange and dissemination of innovative and practical development experiences on Brain Informatics research, brain-inspired technologies and brain/mental health applications. The theme of BI2020 is: Innovative Computational Approaches for Understanding Brain Functions and Treat its Disorders. The BI2020 solicits high-quality original research and application papers (both full paper and abstract submissions). Relevant topics include but are not limited to: • Track 1: Cognitive and Computational Foundations of Brain Science • Track 2: Human Information Processing Systems • Track 3: Brain Big Data Analytics, Curation and Management • Track 4: Informatics Paradigms for Brain and Mental Health Research • Track 5: Brain-Machine Intelligence and Brain-Inspired Computing Publications • Main conference papers will be published in the proceedings at the Springer-Nature LNCS/LNAI Brain Informatics Book Series. • Accepted full papers will be selected to publish in the Springer Open Access Brain Informatics Journal upon revision. No article-processing fee will be charged for authors of Brain Informatics conference. • Workshop and Special Session full papers will be published at the same BI proceedings at the Springer-Nature LNAI Brain Informatics Book Series. • Organizers of Workshops and Special Sessions will be invited to prepare a book proposal based on the topics of the workshop/special session for possible book publication in the Springer-Nature Brain Informatics & Health Book Series. Timeline March 1, 2020 Workshop, Special Session & Tutorial proposal submission deadline April 1, 2020 Papers submission deadline June 1, 2020 Notification of paper acceptance June 1, 2020 Abstract submission deadline July 1, 2020 Notification of abstract acceptance July 1, 2020 Early bird registration deadline July 15, 2020 Paper registration deadline September 18, 2020 Workshops, Special Sessions and Tutorials September 19-20, 2020 Main conference All info: http://www.bi2020.org/ <http://www.bi2020.org/>

Feb. 10, 2020

RaPID-3 @ LREC2020: extended deadline and final call for papers

by Dimitrios Kokkinakis

*Apologies for cross-postings* *============================* *RaPID-3*: "Resources and ProcessIng of linguistic, para-linguistic and extra-linguistic Data from people with various forms of cognitive/psychiatric/developmental impairments" *Date*: 11th May, 2020 *Venue*: Palais du Pharo, Marseille, France *Website*: <https://spraakbanken.gu.se/eng/rapid-2020> *Extended **Submission Deadline*: 16th Feb., 2020, 22nd Feb., 2020 *Submission page*: <https://www.softconf.com/lrec2020/RaPID-3> ============================ Papers must be compliant with the stylesheet adopted for the main conference Proceedings: https://lrec2020.lrec-conf.org/en/submission2020/authors-kit/ ============================ *Workshop Description: **Objectives* RaPID-3 aims to be an interdisciplinary forum for researchers to share information, findings, methods, models and experience on the collection and processing of data produced by people with various forms of mental, cognitive, neuropsychiatric, or neurodegenerative impairments, such as aphasia, dementia, autism, bipolar disorder, Parkinson's disease or schizophrenia. Particularly, the workshop's focus is on creation, processing and application of data resources from individuals at various stages of these impairments and with varying degrees of severity. Creation of resources includes e.g. annotation, description, analysis and interpretation of linguistic, paralinguistc and extra-linguistic data (such as spontaneous spoken language, transcripts, eyetracking measurements, wearable and sensor data, etc). Processing is done to identify, extract, correlate, evaluate and disseminate various linguistic or multimodal phenotypes and measurements, which then can be applied to aid diagnosis, monitor the progression or predict individuals at risk. A central aim is to facilitate the study of the relationships among various levels of linguistic, paralinguistic and extra-linguistic observations (e.g., acoustic measures; phonological, syntactic and semantic features; eye tracking measurements; sensors, signs and multimodal signals). Submission of papers are invited in all of the aforementioned areas, particularly emphasizing multidisciplinary aspects of processing such data and the interplay between clinical/nursing/medical sciences, language technology, computational linguistics, natural language processing (NLP) and computer science. The workshop will act as a stimulus for the discussion of several ongoing research questions driving current and future research by bringing together researchers from various research communities. For *Topics of interest, **Submission & Publication details, **Important Dates *and *the **Organizing and **Programme Committees *see*: ** <* *https://spraakbanken.gu.se/eng/rapid-2020* <https://spraakbanken.gu.se/eng/rapid-2020>*>*

Feb. 10, 2020

Final Program of the Columbia Workshop on Brain Circuits, Memory and Computation, March 16-17, 2020

by Aurel A. Lazar

Columbia Workshop on Brain Circuits, Memory and Computation 2020 BCMC 2020 March 16-17, 2020 Davis Auditorium, CEPSR Columbia University, New York, NY, USA Overview The goal of the workshop is to bring together researchers interested in developing executable models of neural computation/processing of the brain of model organisms. Of interest are models of computation that consist of elementary units of processing using brain circuits and memory elements. Elementary units of computation/processing include population encoding/decoding circuits with biophysically-grounded neuron models, non-linear dendritic processors for motion detection/direction selectivity, spike processing and pattern recognition neural circuits, movement control and decision-making circuits, etc. Memory units include models of spatio-temporal memory circuits, circuit models for memory access and storage, etc. A major aim of the workshop is to explore the integration of various sensory and control circuits in higher brain centers. A Fruit Fly Brain Hackathon <http://fruitflybrain.org/hackathons.html> is being conducted in conjunction with the workshop. Workshop participants are welcome to attend the hackathon. Organizer and Program Chair Aurel A. Lazar <http://www.ee.columbia.edu/~aurel>, Columbia University Registration Registration is free but all participants have to register <http://bcmc2020.eventbrite.com/>. Thank you! Lodging and Directions to Venue Please follow this link <http://www.bionet.ee.columbia.edu/workshops/bcmc/2020/directions> for lodging details and directions to the hotel and venue. Sponsorship The 2020 Columbia Workshop on Brain Circuits, Memory and Computation is supported by the Department of Electrical Engineering <http://www.ee.columbia.edu/>, Columbia University Center for Computing Systems for Data-Driven Science <https://datascience.columbia.edu/computing-systems>, Data Science Institute, Columbia University School of Engineering and Applied Science <http://www.engineering.columbia.edu/>, Columbia University The detailed program is available at : http://fruitflybrain.org/workshops.html <http://fruitflybrain.org/workshops.html> Aurel http://www.bionet.ee.columbia.edu

Feb. 10, 2020

Research Fellow In Approximate Data Structures

by Uwe Aickelin

Hi, It’s a great time to join one of the world’s leading Schools of Computing and Information Systems: We are looking for a Research Fellow In Approximate Data Structures to work with two of our top Professors: http://jobs.unimelb.edu.au/caw/en/job/899981/research-fellow-in-approximate… Thanks, Uwe Aickelin Professor Uwe Aickelin | Head of School of Computing and Information Systems Melbourne School of Engineering Level 8, Doug McDonell Building, 168 Grattan Street The University of Melbourne, Victoria 3010 Australia T: +61 3 8344 3635 E: uwe.aickelin(a)unimelb.edu.au<mailto:uwe.aickelin@unimelb.edu.au> http://aickelin.com/ | http://linkedin.com/in/aickelin I acknowledge the Traditional Owners of the land on which I work, and pay my respects to the Elders, past and present. CRICOS: 00116K This email and any attachments may contain personal information or information that is otherwise confidential or the subject of copyright. Any use, disclosure or copying of any part of it is prohibited. The University does not warrant that this email or any attachments are free from viruses or defects. Please check any attachments for viruses and defects before opening them. If this email is received in error, please delete it and notify us by return email. [signature_1111626909]<https://eng.unimelb.edu.au/about/join-mse/current-opportunities#current-opp…>

Feb. 10, 2020

Postdoc position in London --background in video games and/or numerical analysis of ODEs/PDEs and/or computational neuroscience.

by Dimitris Pinotsis

The Computational Neuroscience and Psychiatry Lab (www.pinotsislab.com) at University ofLondon—City is looking for a Post Doc with a strong background in video gamesand/or numerical analysis of ODEs/PDEs and/or computational neuroscience. The Lab focuses on developing new algorithms for the analysis of human and animal brain imaging data. These are based on computational models of neural dynamics and state of the art machine learning techniques. Particular emphasis is put on applications in Computational Psychiatry and developing models of brain pathology. Also, the Lab develops brain theories that can explain brain pathology, using theoretical tools from deepneural networks and Bayesian brain theories. The Post Doc shall conduct research in one or more of these areas. He/she will have the opportunity to shape the details of their project based on their specific interests. The successful candidate should have a PhD in applied mathematics, computational neuroscience, engineering or physics. Expertise in one or more modern scientific computing programming language (Python, Matlab or R) is essential. The candidate should also have familiarity with one or both of: i) the analysis of human and/or animal brain imaging data, and ii) computational modelling using numerical simulations of ordinary and/or partial differential equations or video game algorithms. For informal inquiries,please email Dr. Dimitris Pinotsis at pinotsis(a)mit.edu

Feb. 9, 2020

Feb 15 Application Deadline - 2020 Nengo Summer School

by Peter Blouw

[All details about this school can be found online at https://www.nengo.ai/summer-school] The Centre for Theoretical Neuroscience at the University of Waterloo is excited to announce our 7th annual Nengo summer school on large-scale brain modelling and neuromorphic computing. This two-week school will teach participants to use the Nengo simulation package to build state-of-the-art cognitive and neural models to run both in simulation and on neuromorphic hardware. Summer school participants will be given on-site access to Loihi, Intel’s neuromorphic research chip [1], and will learn to run high-level applications on Loihi using Nengo! More generally, Nengo provides users with a versatile and powerful environment for designing cognitive and neural systems, and has been used to build what is currently the world's largest functional brain model, Spaun [2], which includes spiking deep learning, reinforcement learning, adaptive motor control, and cognitive control networks. For a look at last year's summer school, check out this short video: https://www.youtube.com/watch?v=5w0BzvNOypc We welcome applications from all interested graduate students, postdocs, professors, and industry professionals with a relevant background. [1] Davies, et al. (2018). Loihi: A neuromorphic manycore processor with on-chip learning. IEEE Micro. Vol. 38 no. 1 pp. 82-99. [ https://ieeexplore.ieee.org/document/8259423] [2] Eliasmith, C., Stewart T. C., Choo X., Bekolay T., DeWolf T., Tang Y., Rasmussen, D. (2012). A large-scale model of the functioning brain. Science. Vol. 338 no. 6111 pp. 1202-1205. DOI: 10.1126/science.1225266. [ http://compneuro.uwaterloo.ca/files/publications/eliasmith.2012.pdf] ***Application Deadline: February 15, 2020*** Format: A combination of tutorials and project-based work. Participants are encouraged to bring their own ideas for projects, which may focus on building neuromorphic applications, modeling neural or cognitive data, implementing specific behavioural functions with neurons, expanding past models, or providing a proof-of-concept of various neural mechanisms. Hands-on tutorials, work on individual or group projects, and talks from invited faculty members will make up the bulk of day-to-day activities. A project demonstration event will be held on the last day of the school, with prizes for strong projects! Participants will have the opportunity to learn how to: - interface Nengo with various kinds of neuromorphic hardware (e.g. Loihi, SpiNNaker, BrainDrop) - interface Nengo with (spiking and normal) cameras and robotic systems - integrate machine learning methods into biologically oriented models - implement modern nonlinear control methods in neural models - build perceptual, motor, and sophisticated cognitive models using spiking neurons - model anatomical, electrophysiological, cognitive, and behavioural data - use a variety of single cell models within a large-scale model - and much more… Date and Location: June 7th to June 19th, 2020 at the University of Waterloo, Ontario, Canada. Applications: Please visit https://www.nengo.ai/summer-school/, where you can find more information regarding costs, travel, lodging, along with an application form. We ask that you provide a short description of a possible project, and to briefly indicate how this project might make use of the tools and methods that the summer school will be covering, as listed above. If you have any questions about the school or the application process, please contact Peter Blouw (peter.blouw(a)appliedbrainresearch.com) The school is partially supported by Applied Brain Research, Inc. We look forward to hearing from you!

Feb. 9, 2020

Human Neocortical Neurosolver

by Stephanie Jones

Greetings — We are happy to announce a methods on our new software Human Neocortical Neurosolver (HNN) for cell and circuit level interpretation of human electro- and magneto-encephalography (EEG/MEG) is now in press in eLife and will be highlighted in the next issue of eLife digest. https://elifesciences.org/articles/51214 Human Neocortical Neurolover (HNN), a new software tool for interpreting the cellular and network origin of human MEG/EEG data. Magneto- and electro-encephalography (MEG/EEG) non-invasively record human brain activity with millisecond resolution providing reliable markers of healthy and disease states. Relating these macroscopic signals to underlying cellular- and circuit-level generators is a limitation that constrains using MEG/EEG to reveal novel principles of information processing or to translate findings into new therapies for neuropathology. To address this problem, we built Human Neocortical Neurosolver (HNN, https://hnn.brown.edu) software. HNN has a graphical user interface designed to help researchers and clinicians interpret the neural origins of MEG/EEG. HNN's core is a neocortical circuit model that accounts for biophysical origins of electrical currents generating MEG/EEG. Data can be directly compared to simulated signals and parameters easily manipulated to develop/test hypotheses on a signal's origin. Tutorials teach users to simulate commonly measured signals, including event related potentials and brain rhythms. HNN's ability to associate signals across scales makes it a unique tool for translational neuroscience research. HNN is an NIH funded collaborative project and you can learn more at https://hnn.brown.edu. Best, Stephanie (on behalf of the HNN development team) ******************************************* Stephanie R. Jones, PhD Associate Professor Brown University Department of Neuroscience Stephanie_Jones(a)Brown.edu https://blogs.brown.edu/joneslab/ <https://blogs.brown.edu/joneslab/> Human Neocortical Neurosolver https://hnn.brown.edu <https://hnn.brown.edu/>

Feb. 8, 2020

[meetings] Call for papers SAB2020, 16th International Conference on the Simulation of Adaptive Behavior, Cergy-Paris University

by alexandre pitti

Call for papers for the 16th International Conference on the Simulation of Adaptive Behavior (SAB2020) SAB 2020 : FROM ANIMALS TO ANIMATS 16 that will be held at Cergy-Paris University (near Paris), France 22-24 september 2020 + workshops day 21st https://sab2020.sciencesconf.org/ *Scope of the Conference* ========================= The objective of this interdisciplinary conference is to bring together researchers in computer science, artificial intelligence, artificial life, control, robotics, neurosciences, ethology, evolutionary biology and related fields in order to further our understanding of the behaviors and underlying mechanisms that allow natural and artificial animals to adapt and survive in uncertain environments. The conference will focus on experiments with well-defined models including robot models, computer simulation models and mathematical models designed to help characterize and compare various organizational principles or architectures underlying adaptive behavior in real animals and in synthetic agents, the animats. *Location* ========== Cergy-Paris University, close to Paris, France *Relevant Research Areas* ========================= SAB2020 solicits contributions dealing with any aspect of adaptive behavior in natural and artificial systems. Typical, but not exclusive, topics of interest are: The animat approach Motor control Body and brain co-evolution Self-assembling and self-replication Sensory-motor coordination Action selection and behavioral sequencing Navigation and mapping Internal models and representation Evolution, development and learning Collective and social behavior Applied adaptive behavior Motivation and emotion Communication and language Emergent structures and behaviors Neural correlates of behavior Evolutionary and co-evolutionary approaches Bio-inspired and hybrid robotics Autonomous robotics Humanoid robotics Cognitive and developmental robotics Software agents and virtual creatures Philosophical and psychological issues Animats in education *Conference Format* =================== Following the tradition of SAB conferences, the conference will be single track with additional poster sessions. There will also be a day of tutorials. *Important Dates* ================= The conference will be held between 22-24 Sep 2020 and the 21st of September will be dedicated to workshops and tutorials Submission deadline : 1st of April, 2020 Notification of Acceptance : 1st of May, 2020 Camera ready: 1st of June, 2020 workshops/tutorials: 21st of September, 2020 Venue: 22nd-24th of September, 2020 Workshop/Tutorial Proposal Deadline: 21st May, 2020 Workshop/Tutorial Notification of Acceptance: 31th May, 2020 *Paper Submission Instruction and Publication Details* ====================================================== Submitted papers must not exceed 12 pages. Detailed submission instructions are available from the conference website (https://sab2020.sciencesconf.org/ or soon http://www.sab2020.org/ ). Special Issue to Springer Lecture Notes in Artificial Intelligence All accepted papers with oral or poster presentation will be published in Springer Lecture Notes in Artificial Intelligence series conference proceedings. Selected authors may additionally be invited to submit extended versions for a conference Special Issue of the Journal of Adaptive Behavior. *Workshops & tutorials* ======================= The SAB2020 organizing committee invites proposals for workshops and tutorials, which will be held on the 21st of September, 2020. Instructions for preparing the tutorial proposal and further details on the tutorials will be found at http://www.sab2020.sciencesconf.org / http://www.sab2020.org/ *Best Paper Award* ================== Two best paper prizes will be awarded at the end of the conference to honour the authors of papers of exceptional merit. For more information please refer to the official SAB2020 website. *Further Information* ===================== Up-to-date information will be published on the website https://sab2020.sciencesconf.org/ and http://www.sab2020.org/ . For information about local arrangements, registration forms, etc., please refer to the website or contact the local organizers at the address below. * Organizers * ============== ISAB Philippe Gaussier General Chair, UCP Sofiane Boucenna Program Chair, UCP Nicolas Cuperlier Program Chair, UCP Alexandre Pitti Local Chair and Publicity Chair, UCP *Conference Address* ==================== Cergy-Pontoise, CY Cergy-Paris University. Site Les Chênes *Contact * ========== sab2020(a)sciencesconf.org Alex Pitti Maître de Conférence Laboratoire ETIS, CY Cergy Paris Université, ENSEA, CNRS, UMR8051 http://perso-etis.ensea.fr/alexpitt/

Feb. 7, 2020

Simula Summer School in Computational Physiology - Apply now!

by Kimberly McCabe

Simula Summer School in Computational Physiology: *Models, Tools, and Techniques for Excitable Tissues* *Simula Research Laboratory, Oslo, Norway, June 15-26 University of California San Diego, La Jolla, CA, USA, August 10-18* Travel grants are available through Simula. In conjunction with the University of California San Diego, Simula Research Laboratory is pleased to announce the 7th edition of our annual Summer School in Computational Physiology. This school focuses on multiscale modelling of electrophysiology and mechanics of the heart, and related material in computational neurophysiology and pharmacology. We are currently seeking master's and early doctoral students to participate, and will accept applications until *February 21st 2020*. The initial series of lectures will be hosted by Simula Research Laboratory in Oslo, Norway (June 15th-26th), followed by project work, a workshop in scientific writing from *Nature Masterclasses*, and final student presentations hosted by the University of California San Diego from August 10th-18th. The travel and accommodation expenses for successful applicants will be supported by grants from Simula designed to cover these costs. Details regarding scheduling, logistics, core scientific material, and the application process can be found through our online call for participation: www.simula.no/sscp Contacts: · Scientific content: Kimberly McCabe (kimberly(a)simula.no) · General inquiries: sscp(a)simula.no

Feb. 6, 2020

GdR BioComp - Banyuls, France - May 3-7

by MASQUELIER Timothee

The next BioComp conference will take place in Banyuls, in the south of France, from Sunday 3th May evening until Thursday 7th May noon. The goal of the BioComp conference is to facilitate interdisciplinary exchanges around bio-inspired hardware systems. The conference associates contributions from all concerned disciplines: biology, computational neuroscience, mathematics, computer architecture and computer systems, microelectronics, nanotechnology and physics. http://gdr-biocomp.fr/biocomp-conference-2020/ Call for abstracts If you'd like to speak or present a poster at BioComp2020, please send a title and abstract (15 lines max) to: gdr.biocomp(a)gmail.com<mailto:gdr.biocomp@gmail.com> BEFORE March 15th, specifying oral presentation or poster. We will inform you of the final decision before April 1st. Invited speakers * Fabrice Arcizet, Institut de la Vision, Retinas and other therapeutic strategies for visual restoration * Sylvain Barbay, C2N Palaiseau France, Microlasers for neuromorphic computing * Demian Battaglia, Institut de neuroscience des systèmes, Marseille, France, Dynamics and computation in the brain * Guillaume Bellec, EPFL, Lausanne, Switzerland, Biologically inspired alternatives to backpropagation through time for learning in recurrent neural nets * Michela Chiappalone, Istituto Italiano di Technologia, Genova, Closed-loop neuroprostheses to restore neuronal communication * Iulia Comsa, Google Research Zurich, Switzerland, Temporal coding in spiking neural networks * Maxence Ernoult, C2N et CNRS/Thales, Palaiseau France, Training Recurrent Neural Networks through Equilibrium Propagation * Yan Fang, Georgia Tech, USA, Materials that compute * Douglas McLelland, Brainchip, USA, Akida System on Chip for neural networks * Michel Paindavoine, Yumain, Dijon, Neuromorphic camera * Laurent Perrinet, Institut de Neurosciences de la Timone, Large scale neural network models of low-level vision, perception and action * Javier Porte, Femto-ST, Besançon France, Optical neural networks * Jean Rouat, Université de Sherbrooke, Canada, Spike Timing Dependent Plasticity * Sylvain Saïghi, IMS Bordeaux France, Presentation of Neurotech EU network * Aida Todri-Sanial, LIRMM Montpellier France, Oscillatory Neural Networks with 2D materials * Adrien Vincent, IMS Bordeaux France, Hardware Spiking Neural Networks * Mohammed Fouda, UCI Registration Registration is mandatory for all participants. The registration fee of 168€ covers : - For PhD students and post-docs: access to the conference room and poster sessions, coffee breaks, meals (except for the free evening) and accommodation. - For permanent researchers and industrialists: access to the conference room and poster sessions, coffee breaks, meals (except for the free evening). Registration procedure 1. Go to the registration page https://www.azur-colloque.fr/DR15/inscription/inscription/266 Attention: It is IMPERATIVE to go through the whole procedure to be correctly registered, and in particular to PAYMENT. It is not possible to return to the registration page afterwards to complete it! 2. The possible means of payment are : - credit cards, - order forms for French public institutions Make sure you have all the necessary information and the payment method you have chosen before starting the procedure. Thank you and see you soon under the sun of Banyuls! The BioComp team

Feb. 5, 2020

Expression of interest for a tenure track position at the Assistant and Associate Professor level (RTD-A, RTD-B, PA) - University of Genova

by Paolo Massobrio

The Department of Computer Science, Bioengineering, Robotics and Systems Engineering (DIBRIS) of the University of Genova, Italy, invites expression of interest for tenure track positions in Bioengineering (ING-INF/06, ING-IND/34) at the Assistant and Associate Professor level (RTD-A, RTD-B, PA). Rank will be determined based on qualifications and experience. Specifically, we seek interested, highly motivated, and competent researchers with an excellent background in bioengineering, who are able to teach at both the bachelor level and master level in English. Research topics of interest should spot in particular: - Neuroengineering: tools and technologies for studying-interacting with the brain Neuro-electronic interfaces; Neural signal analysis; Computational neuroscience; Electrophysiology. Contact person: Sergio Martinoia ( <mailto:sergio.martinoia@unige.it> sergio.martinoia(a)unige.it) - Sensorimotor intelligence: devices, systems, and applications Bioengineering of active sensory acquisition and processing; Cognitive and social neuroscience; Translational vision science; Joint action; Action-perception transfer; Multisensory and cross-sensory issues. Contact person: Silvio P. Sabatini ( <mailto:silvio.sabatini@unige.it> silvio.sabatini(a)unige.it ) DIBRIS ( <http://www.dibris.unige.it/en/> www.dibris.unige.it/en/) a multidisciplinary department of the University of Genova, is looking for autonomous researchers interested to collaborate with other research groups and motivated to engage in all aspects of department activities. Interested researchers should apply by sending an e-mail to one of the appointed representatives listed above, for each research theme. Same, for questions or further information about this recruit process. Application must include: 1) Complete curriculum vitae 2) Statement of research, not exceeding 4 pages and focusing on the impact of the candidate's proposed research, the underlying questions, the approach(es) to be taken, and how it will synergize with other research activities within the Bioengineering group (see website or contact person for additional info) 3) Statement of teaching not exceeding 1 page 4) Names and complete contact information of at least three professional references. Complete applications should be received by February 29, 2020. _________________________________ Paolo Massobrio, PhD Associate Professor of Bioengineering Neuroengineering and Bio-Nano Technology Lab - NBT - Department of Informatics, Bioengineering, Robotics and System Engineering (DIBRIS) University of Genova Via Opera Pia 13, 16145, Genova, ITALY Phone: +39 010 3532761 URL: <http://www.dibris.unige.it/> www.dibris.unige.it E-mail: <mailto:paolo.massobrio@unige.it> paolo.massobrio(a)unige.it

Feb. 5, 2020

Final reminder for participating in the Special Issue for the 15th Granada Seminar in Neurocomputing Journal (IF 4.072)

by Prof. Dr. Joaquín J. Torres

Dear Colleague This is the final reminder for paper submission to the 15th Granada Seminar Special Issue we are editing in Neurocomputing journal (Q1, IF 4.072). If still you are interested to submit your contribution to this special issue, I would like to remember you that the final deadline for submissions has been extended to February 29th. Please follow the link below to submit your original contribution to this special issue: https://www.journals.elsevier.com/neurocomputing/call-for-papers/emergent-e… Once your are in the system in the "article type" choose "VSI: emergent effects in SNN" and continue the regular submission process Submission Final Deadline: February 29th 2020 Sincerely yours Joaquin J. Torres Guest Editor of the Special Issue -- Prof. Dr. Joaquín J. Torres Department of Electromagnetism and Physics of the Matter. Institute "Carlos I" for Theoretical and Computational Physics. University of Granada.

Feb. 5, 2020

Two PhD Positions at The University of Melbourne and Monash University, Australia

by David Grayden

Creating subject-specific mathematical models to understand the brain The brain is a complex machine and brain function remains yet to be fully understood. This project works at the intersection of dynamical modelling, statistical signal processing, statistical inference and machine learning to develop subject specific mathematical models of the brain that can be used to infer brain states and monitor and image the brain. This work is centred around a neurophysiological variable estimation framework we have been developing that can be applied to all kinds of brain activity recordings. There are two projects to be completed under this program and we are looking for a different student for each of these projects. Project 1: specifically extend our neurophysiological variable estimation framework to different classes of neural population models validated from microscopic data. Project 2: specifically extend our neurophysiological estimation framework to coupled networks of neural population models applied to in vivo human recordings. These projects are critical for applications of our estimation framework to all kinds of neuroscientific studies (e.g. of rest, sensation, cognition, movement or abnormal behaviour) where different models and networks are more appropriate and parsimonious for different kinds of situations and will open new ways to understanding brain function. Please contact me directly if you are interested in applying. Regards, David Professor David B. Grayden Clifford Chair of Neural Engineering Dept of Biomedical Engineering Melbourne School of Engineering The University of Melbourne, Victoria 3010 Australia http://www.bme.unimelb.edu.au<http://www.bme.unimelb.edu.au/> | https://www.linkedin.com/in/dgrayden This email and any attachments may contain personal information or information that is otherwise confidential or the subject of copyright. Any use, disclosure or copying of any part of it is prohibited. The University does not warrant that this email or any attachments are free from viruses or defects. Please check any attachments for viruses and defects before opening them. If this email is received in error please delete it and notify us by return email.

Feb. 5, 2020

Two Research Fellow Positions at The University of Melbourne, Australia

by David Grayden

Two postdoctoral research fellow positions are available at The University of Melbourne, Australia. Research Fellow in Neural Modelling - 2 year position (may be extended) at Junior (Level A) or Senior (Level B) Postdoc Salary Applications close: 27 Feb 2020 11:55 PM Australian Eastern Daylight Time (UTC+11) http://jobs.unimelb.edu.au/caw/en/job/902154/research-fellow-in-neural-mode… We are seeking a highly motivated Research Fellow to undertake a project aiming to develop mathematical frameworks bridging different scales of brain activities to provide a new tool for understanding the brain. This project will provide a framework to enable the creation of subject-specific neural circuit diagrams. The activities of microscopic neurons will be linked to macroscopic brain behaviour, providing a novel technique for neuroimaging. This technique will enable insights into brain function and provide potential benefits for understanding and treating neurological disorders as well as for the development of artificial intelligence (AI) technologies. The outcomes will have a significant impact on the treatment of neurological conditions in the future through greater understanding of diseases, improved diagnostics, and subsequent treatments. Rejane Langlois Postdoctoral Fellowship - 3 year position at Junior (Level A) or Senior (Level B) Postdoc Salary Applications close: 20 Feb 2020 11:55 PM Australian Eastern Daylight Time (UTC+11) http://jobs.unimelb.edu.au/caw/en/job/902038/rejane-langlois-postdoctoral-f… The Rejane Langlois Postdoctoral Fellowship seeks to further enhance Melbourne School of Engineering research at the interface of science, engineering and medicine. The Fellow will have the opportunity to undertake independent research as well as engage in broader collaborations within the Department of Biomedical Engineering. We are looking for outstanding candidates within one of our key research areas: biomaterials and tissue engineering; biomechanics and mechanobiology; bionics, biomedical imaging and neuroengineering or systems and synthetic biology. Regards, David Professor David B. Grayden Clifford Chair of Neural Engineering Dept of Biomedical Engineering Melbourne School of Engineering The University of Melbourne, Victoria 3010 Australia http://www.bme.unimelb.edu.au<http://www.bme.unimelb.edu.au/> | https://www.linkedin.com/in/dgrayden This email and any attachments may contain personal information or information that is otherwise confidential or the subject of copyright. Any use, disclosure or copying of any part of it is prohibited. The University does not warrant that this email or any attachments are free from viruses or defects. Please check any attachments for viruses and defects before opening them. If this email is received in error please delete it and notify us by return email.

Feb. 5, 2020

MBL Methods in Computational Neuroscience Course

by Stephen A. Baccus

Applications are open for the Methods in Computational Neuroscience course at the Marine Biology Laboratory in Woods Hole, MA. The course will run from August 2 to August 28, 2020, and the online application form can be found at: https://ws2.mbl.edu/studentapp/studentapp.asp?courseid=MCN The course application deadline is *March 16*. The course covers a range of topics in computational neuroscience including neuronal biophysics, neural coding & information processing, circuit dynamics, learning & memory, motor control, and cognitive processing & disease. In addition, numerous tutorials and problem sets will cover a broad range of computational and mathematical modeling methods. The course strongly emphasizes the collaboration between theory and experiment in solving neuroscience problems, and lectures will be given by a mixture of theorists and experimentalists. The final weeks of the course are primarily reserved for work on projects that students design in collaboration with the resident faculty. Further information can be found on the MCN website: http://www.mbl.edu/mcn/ 2020 Course Directors: Stephen Baccus, Stanford University Xiao Jing Wang, New York University 2020 Faculty: Larry Abbott, Columbia University Emery Brown, MIT Randy Buckner, Harvard University Dmitri Chklovskii, Simons Institute Claudia Clopath, Imperial College London Shaul Druckmann, Stanford University Uri Eden, Boston University Bard Ermentrout, U. of Pittsburgh Adrienne Fairhall, U. of Washington Ila Fiete, University of Texas Austin James Fitzgerald, Janelia Res., HHMI Loren Frank, UCSF Michale Fee, MIT Stefano Fusi, Columbia University Surya Ganguli, Stanford University Juliana Gjorgjieva, Max Planck Institute Mark Goldman, UC Davis Nancy Kopell, Boston University Eve Marder, Brandeis University Bartlett Mel, Univ. of Southern California David Redish, U. Minnesota Robb Rutledge, Yale University Terry Sejnowski, Salk Institute Mike Shadlen, Columbia U. Reza Shadmehr, Johns Hopkins Univ. Sara Solla, Northwestern University Haim Sompolinsky, Hebrew University Nelson Spruston, Janelia Research Campus Josh Tenenbaum, MIT Nao Uchida, Harvard University David Van Essen, Washington University Greg Wayne, DeepMind

Feb. 4, 2020

Doctoral Position at the Institute for Neural Computation - Ruhr University Bochum

by Vinita Samarasinghe

Prof. Sen Cheng, Institute for Neural Computation at the Ruhr University Bochum, invites applications for a *Doctoral position (TV-L E13, 65%) in Computational Neuroscience. * The position starts as soon as possible and is funded for three years. *Job description* The research group is highly dynamic and uses diverse computationalmodeling approachesincludingbiological neural networks, cognitive modeling, and machine learning to investigatelearning and memory in humans and animals. For further information see www.rub.de/cns <http://www.rub.de/cns>. The successful candidate will develop and study computational models of episodic memory and spatial navigation. The models will be based on biologically plausible spiking neurons and will account for the generation and learning of complex behaviors. The research focus will be on modeling the influence of neuro- and psychopathologies on observable behavior. The candidate mayenrollin a doctoral program in neuroscience, psychology, physics, or electrical engineering – subject to enrollment requirements of the particular program. *Your Profile: * Candidates must have * an excellent university degreein neuroscience, psychology, physics, computer science, electrical/biomedical engineering or a related field, * relevant experience modeling biological neural networks, * excellent communication skills in English, and * the ability to work well in a team. Experience with research in neuro- and psychopathologieswould be a further asset. The Ruhr University Bochum is home to a vibrant research community in neuroscienceand cognitive science. The Institute for Neural Computation is an independent research unit and combines different areas of expertise ranging from experimental and theoretical neuroscienceto machine learning androbotics. Please send your application, including CV, transcripts and research statement electronically, as a single PDF file, to samarasinghe(a)ini.rub.de <mailto:samarasinghe@ini.rub.de>. In addition, at least two academic references mustbe sent independently to the above email address. The deadline for applications is February 29^th , 2020. The Ruhr University Bochum is committed to equal opportunity. We strongly encourage applications from qualified women and persons with disabilities. Contact person: Vinita Samarasinghe, samarasinghe(a)ini.rub.de <mailto:samarasinghe@ini.rub.de> -- Vinita Samarasinghe M.Sc., M.A. Science Manager Arbeitsgruppe Computational Neuroscience Institut für Neuroinformatik Ruhr-Universität Bochum, NB 3/26 Postfachnummer 110 Universitätstr. 150 D-44801 Bochum Tel: +49 (0)234 32 27316 Email: samarasinghe(a)ini.rub.de

Feb. 4, 2020

PhD opportunities in Bristol University

by Conor Houghton

The Bristol Computational Neuroscience Unit, University of Bristol is looking to recruit to a number of EPSRC-funded PhD studentships for a Sept/Oct 2020 start: the research areas considered include Computational Neuroscience and Machine Learning. We have a vibrant Computational Neuroscience group with strong collaborative links with local and international groups working in experimental neuroscience, in machine learning and cognitive science. We have interesting projects to offer in the areas of synaptic plasticity, neural data analysis, neural coding, reinforcement learning, neurolinguistics, cortical circuit and credit assignment. More details here: https://bristolcnu.github.io/research/ http://www.bristol.ac.uk/engineering/postgraduate/funding/sceem-studentship… Bristol is a great place to live and work and so we urge you to apply or to recommend this opportunity to suitable students. Anyone interested should contact one of us to discuss potential project and their application; there are notes on the application process below; the application would need to be submitted by 21st Feb 2020. All the best, Conor, Nathan, Cian, Rui and Laurence ___________ Note that unfortunately these studentships are subject to a UK residency requirement: (https://epsrc.ukri.org/skills/students/help/eligibility/) either home students, or EC nationals who have lived in the UK for three years prior to starting the PhD; if the three years have been spent in higher education, then they have to have been resident in the EEA or Switzerland immediately before this. Students should contact one of us before applying. The selection itself goes through a two step process, students are first accepted as PhD students and are then considered for funding. Applicants should apply via http://www.bristol.ac.uk/study/postgraduate/apply/ and selecting "Computer Science PhD", ensuring they submit a short research proposal outlining the research question or area they intend to focus on and a CV by the deadline.

Feb. 3, 2020

Undergraduate computational neuroscience research position

by Neymotin, Samuel (NKI)

A new paid opportunity for an Army Research Office (ARO) sponsored undergraduate research apprenticeship program (URAP) position is available for the summer of 2020 at the Nathan Kline Institute for Psychiatric Research in Orangeburg, NY (https://www.nki.rfmh.org/) The research will be conducted under the mentorship of Samuel Neymotin, Haroon Anwar, and Salvador Dura-Bernal to help achieve the goals of an ARO grant (PI: Neymotin) that aims to train detailed thalamocortical circuit models to play video games using biologically-plausible learning rules, and to compare the models’ performance against commonly used deep reinforcement learning algorithms. Students will have the opportunity to learn cutting edge methods in computational neuroscience, machine learning, and Python software development, and potentially publish their research results. Candidates will be considered based on their experience in computational neuroscience, machine learning, and Python programming. Candidates must be located within commuting distance to Nathan Kline Institute during the apprenticeship period. To be considered, please click the link to “Apply Now” at https://www.usaeop.com/program/urap/ Make sure to use code U803 (Nathan Kline Institute for Psychiatric Research , NY). For questions, email Samuel.Neymotin(a)nki.rfmh.org<mailto:Samuel.Neymotin@nki.rfmh.org> For more information about the URAP visit: http://www.usaeop.com/<https://protect2.fireeye.com/v1/url?k=1b10bbdd-47344dbc-1b1242e8-0cc47a6d17…> ________________________________ IMPORTANT NOTICE: This e-mail is meant only for the use of the intended recipient. It may contain confidential information which is legally privileged or otherwise protected by law. If you received this e-mail in error or from someone who was not authorized to send it to you, you are strictly prohibited from reviewing, using, disseminating, distributing or copying the e-mail. PLEASE NOTIFY US IMMEDIATELY OF THE ERROR BY RETURN E-MAIL AND DELETE THIS MESSAGE FROM YOUR SYSTEM. Thank you for your cooperation.

Jan. 31, 2020

5th EADM Summer School: Learning and decision making, 8-15 July, 2020

by Hrvoje Stojic

SAVE THE DATE! Date: 8-15 July, 2020 Location: Universitat Pompeu Fabra, Barcelona, Spain Theme: Learning and decision making Eligible: Early career researchers Applications open: 15 February, 2020 Further details available at: https://ldmss.org The 5th EADM Learning and Decision Making summer school will take place from the 8th to the 15th of July and will cover a wide range of topics related to learning and decision making, including reinforcement learning, sampling biases, decisions from experience, function learning, category learning and social learning. Participants will receive advanced training and hands-on tutoring on various computational modeling approaches in learning and decision making from experts in the field and will get feedback on their latest research ideas in poster sessions. The academic syllabus will be complemented with social activities in and around Barcelona. Applications will open on the 15th of February! Confirmed faculty include: Mirta Galesic (Santa Fe Institute) Maarten Speekenbrink (University College London) Johannes Müller-Trede (IESE Business School) Henrik Olsson (Santa Fe Institute) G. Elliot Wimmer (University College London) Mehdi Keramati (City University) Elizaveta Konovalova (Max Planck Institute for Human Development) More coming soon! The organization team: Gael Le Mens (Universitat Pompeu Fabra) Emmanouil Konstantinidis (University of Warwick) Hrvoje Stojic (University College London) Pantelis P. Analytis (University of Southern Denmark) Mikhail Spektor (Universitat Pompeu Fabra) Feel free to contact us at: ldmss(a)protonmail.com or on Twitter @ldmsschool ----------------------------- Hrvoje Stojic, PhD Postdoctoral researcher University College London Website: http://hstojic.re/

Jan. 31, 2020

3 Year PhD or Postdoc position in Computational Neuroscience, Charles University, Prague

by Jan Antolik

The newly formed Computational System Neuroscience Group is inviting applications for several fully funded PhD or Postdoc positions in Computational Neuroscience and Neuroinformatics at the Faculty of Mathematics and Physics, Charles University, Prague, starting September 2020 The studentships are ideal for students who want to apply their computational and analytical skills to problems in neuroscience and related fields. Successful candidates will have a strong background in numerical sciences, such as computer science, math or physics, and a keen interest in shaping the future of neuroscience. For the PhD positions no previous experience in neuroscience is required. A broad range of topics is available (see http://antolik.net/research) including but not limited to: large-scale spiking models of the early and higher visual system, machine learning techniques in visual neuroscience, developmental models of early sensory systems and development of tools for computational modelling. We encourage applicants to explore the work of the group <http://antolik.net/projects.html> by looking at its past and present projects. Interested candidates are invited to send their CV and a brief description of their interest in this position to antolikjan(a)gmail.com, to initiate discussions about potential PhD or Postdoc projects of interest.

Jan. 31, 2020

Ten Years Reproducibility Challenge / June 22, 2020 in Bordeaux, France

by Nicolas Rougier

Dear all, There are two months left if you want to take up the "Ten Years Reproducibility Challenge” whose goal is to try to compile / run your old code (> 10 years) that accompanied one of your published article or preprint (see below). More information at: https://github.com/ReScience/ten-years/ Deadline: 01/04/2020 (https://github.com/ReScience/submissions) Workshop: 22/06/2020 (Bordeaux, France) List of declared participants: https://github.com/ReScience/ten-years/issues/1 Three papers already submitted (one published): https://github.com/ReScience/submissions/issues?q=is%3Aissue+is%3Aopen+labe… Nicolas Rougier --- Did you ever try to run an old code that you wrote for a scientific article you published years ago? Did you encounter any problems? Were you successful? We are curious to hear your story. This is the reason why we are editing a special issue of ReScience to collect these stories. The ten years reproducibility challenge is an invitation for researchers to try to run the code they've created for a scientific publication that was published more than ten years ago. This code can be anything (statistical analysis, numerical simulation, data processing, etc.), can be written in any language and can address any scientific domain. The only mandatory condition to enter the challenge is to have published a scientific article before 2010, in a journal or a conference with proceedings, which contains results produced by code, irrespectively of whether this code was published in some form at the time or not. Note that we do not ask you to write a new version of your old code. We ask you instead to try to make your old code to run on modern hardware/software (with minimal modifications) in order to check if you can obtain the exact same results that were publised at least ten years ago. Sounds easy? We have good reasons to think this might be more difficult than you think. And maybe the first problem you'll have to solve is to find your own source code. More information at: https://github.com/ReScience/ten-years/

Jan. 31, 2020

NEURAL COMPUTATION - February 1, 2020

by Terry Sejnowski

Neural Computation - Volume 32, Number 2 - February 1, 2020 Available online for download now: http://www.mitpressjournals.org/toc/neco/32/2 http://cognet.mit.edu/content/neural-computation ----- Article Face Representations via Tensorfaces of Various Complexities Sidney Lehky, Anh-Huy Phan, Andrzej Cichocki, and Keiji Tanaka Letters Transition Scale-spaces: A Computational Theory for the Discretized Entorhinal Cortex Nicolai Waniek From Synaptic Interactions to Collective Dynamics in Random Neuronal Networks Models: Critical Role of Eigenvectors and Transient Behavior Ewa Gudowska-Nowak, Maciej A Nowak, Dante Chialvo, Jeremi K Ochab, and Wojciech Mateusz Tarnowskic Synaptic Scaling Improves the Stability of Neural Mass Models Capable of Simulating Brain Plasticity Jure Demsar, Rob Forsyth Scaled Coupled Norms and Coupled Higher Order Tensor Completion Kishan wimalawarne, Makoto Yamada, and Hiroshi Mamitsuka Improving Generalization via Attribute Selection on Out-of-the-box Data Xiaofeng Xu, Ivor W. Tsang, and Chuancai Liu ------------ ON-LINE -- http://www.mitpressjournals.org/neuralcomp MIT Press Journals, One Rogers Street, Cambridge, MA 02142-1209 Tel: (617) 253-2889 FAX: (617) 577-1545 journals-cs(a)mit.edu ------------

Jan. 29, 2020

NEURONUS 2020 IBRO Neuroscience Forum (24-26 April 2020, Krakow, Poland)

by Michał Zaręba

CALL FOR ABSTRACTS for NEURONUS 2020 IBRO Neuroscience Forum is open only UNTIL FEBRUARY 14! More information and registration forms can be found our website: http://neuronusforum.pl/. With prominent speakers and an unique atmosphere of one of the oldest and most beautiful Polish cities, NEURONUS IBRO Neuroscience Forums have established themselves in the European calendar of scientific events as a platform for communication between scientists from different fields of neuroscience. The program of the conference consists of numerous sessions on biological, cognitive, computational and medical aspects of neuroscience, creating a dynamic environment for sharing knowledge. The schedule of the meeting is further complemented with lectures by invited guests, and we invest a lot of effort to attract as influential neuroscientists as possible. This year’s keynote speakers include: - Karl Friston (University College London, the UK) - Pico Caroni (University of Basel, Switzerland) - Karin Roelofs (Radboud University Nijmegen, the Netherlands) - Alejandro Schinder (Leloir Institute, Buenos Aires, Argentina) - Adam Hampshire (Imperial College London, the UK) - Dayu Lin (New York University School of Medicine, the USA) Furthermore, a special panel concerning the Future of Neuroscience will be held. We have confirmed participation of three pioneering researchers: - Viktor Jirsa (Aix-Marseille University, France) - Panayiota Poirazi (Institute of Molecular Biology and Biotechnology, Heraklion, Greece) - Dominik Paquet (Ludwig Maximilian University of Munich, Germany) During the upcoming 11th edition of the conference, we will traditionally continue to put emphasis on development of early-career researchers. The main purpose of this event is to provide means for both young and experienced neuroscientists to share the latest discoveries, knowledge and experience in neuroscience, as well as make valuable contacts with scientists representing various fields of neurobiology. We actively promote young scientists through preferentially allocating oral presentations of their experimental results. We strongly encourage you to join this special initiative, and hope to see you in the pleasant spring scenery of Krakow! On behalf of the Organising Committee, Michał Zaręba

Jan. 29, 2020

Call for submissions for the special issue on "Reaching and Grasping the Multisensory Side of Dexterous Manipulation"

by Ivan Camponogara

Dear List, In collaboration with the journal "Frontiers in Psychology", we are bringing together a selected group of international experts to contribute to an open-access article collection on: "Reaching and Grasping the Multisensory Side of Dexterous Manipulation" Guest Editors: Dr. Ivan Camponogara, New York University Abu Dhabi, Abu Dhabi, United Arab Emirates Dr. Luigi F. Cuturi, Italian Institute of Technology (IIT), Genoa, Italy Dr. Simone Toma, Arizona State University, Tempe, United States Dr. Marco Santello, Arizona State University, Tempe, United States The submission deadline is 31 July 2020. Visit the collection homepage for the full description of the project: https://www.frontiersin.org/research-topics/12640 Kind Regards, Ivan Camponogara Topic Editor, Cognition Section, Frontiers in Psychology On behalf of the Topic Editors. -- Ivan Camponogara Postdoctoral Associate New York University Abu Dhabi (NYUAD) Office Tel (UAE): +971 2 628 4960 New York University Abu Dhabi, Saadiyat Campus Computational Research Building (A2), desk 144-B P.O. Box 129188 Abu Dhabi, United Arab Emirates ᐧ

Jan. 29, 2020

Postdoc position in systems neuroscience

by Tania Rinaldi Barkat

Dear colleagues, The Brain and Sound Lab at Basel University is happy to announce a postdoc position in systems neuroscience for an ambitious, smart and self-driven scientist. A background in neuroscience, physics, computer science, mathematics or engineering is desirable. For more information , please check www.brainsoundlab.com<http://www.brainsoundlab.com> or contact tania.barkat(a)unibas.ch<mailto:tania.barkat@unibas.ch>. Best regards Tania. --------------------------- Tania Rinaldi Barkat Assistant Professor in Neurophysiology Basel University Department of Biomedicine, room 7001 Klingelbergstrasse 50-70 4056 Basel Switzerland +41 61 207 1638 www.brainsoundlab.com

Jan. 28, 2020

PostDoc position in Cognitive Developmental Neuroscience at Freie Universität Berlin

by Moritz Köster

Dear colleagues, please find below the announcement for an open PostDoc Position on “visual perceptual processes and learning mechanisms in the infant brain” at Freie Universität Berlin. We would highly appreciate if you could forward this announcement to potentially interested candidates. With best regards, Moritz Köster --- Dr. Moritz Köster <https://www.ewi-psy.fu-berlin.de/einrichtungen/arbeitsbereiche/kulturvergl_…> Freie Universität Berlin *PostDoc position in Cognitive Developmental Neuroscience at Freie Universität Berlin* We seek for a highly qualified PostDoc (3 years, 100%, TV-L 13) to join us in investigating the development of early visual perceptual processes and learning mechanisms in the infant brain. The position will focus on the application of state of the art analysis-methods from cognitive neuroscience (e.g., neural oscillatory analyses, SSVEP, MVPA, connectivity analyses) to infant EEG data, to understand the development of the visual system in the first year of life. The scope of the project is within the cognitive developmental neuroscience, a highly dynamic, multidisciplinary, and rapidly growing field. The position is part of a DFG-funded project led by Dr. Moritz Köster at the Freie Universität Berlin, in collaboration with Prof. Stefanie Höhl (Vienna University) and Dr. Radoslaw Martin Cichy (Freie Universität Berlin). The post holder will be affiliated with the “Neural Dynamics of Visual Cognition” group at the Freie Universität Berlin. The main responsibilities will be performing cutting-edge EEG data analyses, publishing articles in high-ranked peer-reviewed journals, the supervision of data assessments, and the training and co-supervision of a PhD student (based at Vienna University). The preferred starting date is the 1st of March 2020 (but this date is flexible). Interested candidates should send a CV, a brief motivation letter, and the names and contact details of two academic references to moritz.koester(a)fu-berlin.de. All applications will be considered until the official closing date (soon announced on the job site of the University <https://www.fu-berlin.de/universitaet/beruf-karriere/jobs>), but later applications will be accepted until the position is filled. Informal requests can be sent to moritz.koester(a)fu-berlin.de at any time. *Requirements:* - PhD in Cognitive Neuroscience, Psychology, Biology, or a related discipline (completed or submitted) - Very good programming skills (preferentially Matlab) and experience with time series analyses (preferentially on EEG/MEG data) - Excellent command of written and spoken English *Desired:* - First-authored publications in cognitive (developmental) neuroscience - Experience with programming and conducting neuroscience studies - Theoretical knowledge and interest in cognitive neuroscience and/or developmental psychology - Experience in student supervision (Bachelor/ Master’s theses)

Jan. 26, 2020

Postdoc for theoretician to collaborate with experimentalists on hippocampal oscillations

by Canavier, Carmen C.

A postdoctoral position is available in the lab of Carmen Canavier at LSU Health Sciences Center in New Orleans. This is an exciting opportunity to participate as a theoretician in a synergistic loop with John White's experimental group at Boston University on gamma oscillations in excitatory and inhibitory neural networks. The successful candidate must be creative and able to work as part of a team. Both network level and single cell modeling using NEURON will be utilized in concert with nonlinear dynamics and other analytical methods to develop and test neural signatures of different oscillatory mechanisms. Quantitative training in Engineering, Physics, Mathematics or a related field is required, as well as some programming expertise. Some knowledge of neuroscience and familiarity with Linux is preferred. Please contact Dr. Canavier at ccanav(a)lsuhsc.edu if you are interested. The position is available immediately, but we are also interested in strong candidates who will graduate in the spring or summer.

Jan. 24, 2020

IMRF 2020 | CALL FOR ABSTRACTS | Deadline March 01, 2020

by Marc Ernst

**** IMRF 2020 | CALL FOR ABSTRACTS | Deadline March 01, 2020 **** IMRF - the International Multisensory Research Forum - is now accepting abstracts to be considered for poster and talk presentations at the IMRF 2020 Meeting. The IMRF 2020 is taking place in Ulm, Germany June 22-25, 2020. The IMRF hosts around 300 contributions from all over the world on topics of multisensory perception, ranging from neuroscience, cognitive science, psychology, computer science, behavioral biology and its applications. With this it is the major conference in this field. Abstracts should be submitted through the IMRF 2020 web-page <https://cops.ifp.uni-ulm.de/imrf2020/index.php/imrf-2020/registration-submi…>. They should be no more than 300 words. Each individual may present only one contribution. Presenters should be first author. An author can be co-author on more than one contribution. Submission Deadline: March 1, 2020 Decisions will be made by end of March. Registration will open shortly. For more information see the IMRF 2020 web-page <https://cops.ifp.uni-ulm.de/imrf2020/index.php> You can submit your abstracts here <https://cops.ifp.uni-ulm.de/imrf2020/index.php/imrf-2020/registration-submi…>. Looking forward to see you in Ulm later this year, On behalf of the IMRF 2020 organizing team --------------------------------------------------------- Prof. Dr. Marc Ernst Appl. Cognitive Psychology Faculty for Computer Science, Engineering, and Psychology Ulm University Albert-Einstein-Allee 43 89081 Ulm room: 43.3.103 phone: +49-731-50 320 50 sekr: +49-731-50 320 51 fax: +49-731-50 320 59 mobile: +49-152-22 543 156 marc.ernst(a)uni-ulm.de <mailto:marc.ernst@uni-ulm.de>

Jan. 24, 2020

NeuroBridges 2020 School announcement

by Ahmed El Hady

*/NeuroBridges 2020 Summer school , Cluny, France/* */( September 6th - September 17th, 2020)/* *//* I would like to bring to your attention the NeuroBridges 2020 Summer School <http://decision-making-lab.com/NeuroBridges/neurobridges2020.html> <http://decision-making-lab.com/NeuroBridges/neurobridges2020.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. This year the school will primarily focus on the neural basis and computational principles underlying decision making. *The forthcoming NeuroBridges 2020*will be a ten-day summer school. Students will attend lectures delivered by a group of leading neuroscientists, experimentalists as well as theoreticians, which will address the fundamental questions in the field of decision making. 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 (but not only) from the Middle East and the Mediterranean region either working in their home countries or abroad. We will consider applicants with some background in related fields in neuroscience or cognitive psychology. Through the online application system, you will be asked to provide personal details, academic background, a motivation letter that should include a paragraph about your quantitative skills and a CV. In addition, we request two recommendation letters. The school will take place between *September 6 and September 17, 2020* in Le Centre de Conferences Internationales de Cluny (CCIC) <http://www.ccic.eu/index.html>. Cluny is a small medieval town in Burgundy, France, located about 400km southeast of Paris (accessible by fast train, TGV). All costs of registration and accommodation will be covered by the organizers. A limited number of travel grants will also be available. *NeuroBridges* is co-organized by Ahmed El Hady <http://scholar.princeton.edu/ahmedelhady/home> (Princeton Neuroscience Institute, USA), Yonatan Loewenstein <http://elsc.huji.ac.il/loewenstein/home>(Hebrew University of Jerusalem, Israel) and David Hansel <https://neurophys.biomedicale.parisdescartes.fr/members/david-hansel/> (CNRS, Paris, France). Review of applications will end in May 2020. *2020 Faculty:* Carlos Brody (Princeton) <https://pni.princeton.edu/faculty/carlos-brody> Ahmed El Hady (Princeton) <http://scholar.princeton.edu/ahmedelhady/home> David Hansel (CNRS) <https://neurophys.biomedicale.parisdescartes.fr/members/david-hansel/> Ifat Levy (Yale) <https://medicine.yale.edu/profile/ifat_levy> Yonatan Loewenstein (Hebrew U.) <https://elsc.huji.ac.il/faculty-staff/yonatan-loewenstein> Najib Majaj (NYU) <https://www.researchgate.net/profile/Najib_Majaj> Mike Shadlen (Columbia U.) <https://neuroscience.columbia.edu/profile/michaelshadlen> Eyal Winter (Hebrew U.) <http://www.ma.huji.ac.il/%7Emseyal/> Yoram Yovell (Hadassah Hebrew U. Medical Center) <http://yovell.co.il/en/> The deadline for application is *April 1st, 2020 *and the following is the website including the link for the online application: http://decision-making-lab.com/NeuroBridges/neurobridges2020.html <http://decision-making-lab.com/NeuroBridges/neurobridges2019.html> <http://decision-making-lab.com/NeuroBridges/neurobridges2019.html> For more information, please contact neurobridges2020(a)gmail.com <mailto:neurobridges2018@gmail.com>.

Jan. 24, 2020

[jobs] several positions in embodied computational models of body representations @CTU Prague

by Matej Hoffmann

** *Dear colleagues, * * there are several positions open in the humanoid, cognitive, neuro-, and collaborative robotics group coordinated by Dr. Matej Hoffmann (https://sites.google.com/site/matejhof/) at the Department of Cybernetics, Faculty of Electrical Engineering, Czech Technical University in Prague. The positions include PhD, post-doc, and tenure-track. Group webpage: https://cyber.felk.cvut.cz/research/groups-teams/humanoids/ The topics are in the context of the newly starting 5-year project entitled “Whole-body awareness for safe and natural interaction: from brains to collaborative robots” for excellence in fundamental research from the Czech Science Foundation (see https://cyber.felk.cvut.cz/news/new-gacr-expro-project <https://cyber.felk.cvut.cz/news/new-gacr-expro-project/>for more information) and include: * Employing humanoid robots with artificial skin to construct embodied computational models of body and peripersonal space representations * Neural network models of multisensory integration and peripersonal space * Physical human-robot interaction with special focus on tactile and proximity sensing * Social human-robot interaction focusing on touch and interpersonal distance Open positions: PhD student. The topic will be co-defined with the student depending on his skills and interests. The standard duration of the PhD study is 4 years. The funding corresponds to a gross salary of CZK 40 000 per month (approx. 1600 EUR), plus direct bonuses for scientific achievements such as top-tier publications. Postdoc. The postdoc will independently conduct research and will also be involved in shaping the research of the group and supervising students. The gross salary will be in the range of CZK 50 000-70 000 per month (approx. 2000-2700 EUR) depending on qualification, plus direct bonuses for scientific achievements such as top-tier publications. Tenure-track. This position is open in the humanoids group or in the broader context of Vision for Robotics and Autonomous Systems group (https://cyber.felk.cvut.cz/research/groups-teams/vras/) and the Research Center For Informatics (http://rci.cvut.cz/) Robots and infrastructure The humanoids group has at its disposal several humanoid robots (iCub - procurement being finalized, 2 Naos - 1 with whole-body sensitive skin) and collaborative or lightweight manipulators (KUKA LBR iiwa, UR10e with Airskin, Kinova Gen3). Additional infrastructure includes several robot hands (Barrett Hand BH8-282, QB Soft Hand) and grippers, a 3D Motion Capture System, Impact measuring devices (GTE), and integrated devices for collaborative robots (http://smartrobots.it/) The group has also access to the facilities of the Research Center for Informatics such as a high-performance computational cluster. International collaborations There is a large group of international experts who have agreed to act as collaborators/advisors on the project. These include experts in - developmental psychology: Dr. Kevin O’Regan (CNRS, Paris), Prof. Jeffrey J. Lockman (Tulane University, New Orleans) - cognitive psychology and neuroscience: Prof. Matthew Longo (Birkbeck University, London), Prof. Tobias Heed (Bielefeld), Prof. Andrea Serino (University of Lausanne), Dr. Jean-Paul Noel (Center for Neural Science at New York University), Drs. M.Gori and Giulia Cappagli (Italian Institute of Technology, Dr. S. Signorini (IRCSS Fondazione Mondino Pavia) - physical human-robot interaction: Prof. Sami Haddadin (TU Munich), Dr. Arash Ajoudani (Italian Institute of Technology), Dr. Michael Zillich (Blue Danube Robotics – manufacturer of Airskin) - social human-robot interaction: Dr. Alessandra Sciutti (Italian Institute of Technology), Dr. Hagen Lehmann (University of Macerata) How to apply. The application should include: ** -**Motivation letter (max. 1 page) ** - *CV (including 2 reference persons)* ** -***1 Letter of recommendation (can be from 1 of the reference persons above)*** Please send the applications or inquiries to matej.hoffmann(a)fel.cvut.cz <mailto:matej.hoffmann@fel.cvut.cz>with (“[PhD / Postdoc / tenure-track] application” in the subject). The positions are open until filled. Best regards, Matej Hoffmann * -- Matej Hoffmann, PhD Assistant Professor Department of Cybernetics Faculty of Electrical Engineering Czech Technical University in Prague https://sites.google.com/site/matejhof/home +420 224 357 387

Jan. 23, 2020

PhD and MSc Opportunities in Computational Neuroscience and Neuroimaging at the University of Toronto

by John Griffiths

The Whole Brain Modelling Group (PI Dr. John Griffiths; www.grifflab.com) at the CAMH Krembil Centre for Neuroinformatics ( www.krembilneuroinformatics.ca) and University of Toronto is looking for PhD and MSc students with a strong background in computational neuroscience and/or neuroimaging. The focus of the Group’s work is computational models of large-scale brain activity, with particular emphases on neural dynamics as measured by M/EEG and fMRI, oscillations, brain stimulation (TMS, TDCS), neural plasticity, and macro-connectomics. The student shall conduct research in one or more of these areas. They will have the opportunity to shape the details of the project based on their specific interests, as well as to contribute to other ongoing projects on a range of topics, including: neuroinformatics of whole-brain modelling, mapping and modelling anatomical connectivity and microstructure with DWI in relation to ageing and stroke, and multi-scale modelling of the thalamocortical system in relation to sleep, pharmacological neuromodulation, and neuropsychiatric disease. The successful candidate should have, minimally, an undergraduate degree in neuroscience, engineering, physics, mathematics, psychology, or related area, and a demonstrable track record of research experience and interest in computational neuroscience and/or neuroimaging. Expertise in one or more modern scientific computing programming language (Python, Matlab, Julia, R, C++) is essential. The candidate should also have familiarity with one or both of: i) neuroimaging data analysis (s/d/fMRI and/or M/EEG), and ii) computational modelling using numerical simulations (particularly modelling of neural population activity with mean-field/neural mass/neural field techniques, either with custom implementations or with tools such as The Virtual Brain Platform or Dynamic Causal Modelling). Full details of the position and application instructions can be found at www.grifflab.com/positions/ For informal inquiries, please email Dr. John Griffiths at john.griffiths(a)camh.ca with the title “PhD in Whole Brain Modelling” in the subject line ( Note: students interested in a September 2020 start at the University of Toronto should get in touch immediately to leave time for approaching application deadlines ) -- Dr. John D. Griffiths Independent Scientist @ Krembil Centre for Neuroinformatics, CAMH, Toronto Assistant Professor @ Department of Psychiatry, University of Toronto www.grifflab.com

Jan. 23, 2020

[publication and call for dialog] IEEE CIS Newsletter on Cognitive and Developmental Systems

by Pierre-Yves Oudeyer

Dear colleagues, we are happy to announce the release of the latest issue of the IEEE CIS Newsletter on Cognitive and Developmental Systems (open access). This is an annual newsletter addressing the sciences of developmental and cognitive processes in natural and artificial organisms, from humans to robots, at the crossroads of cognitive science, developmental psychology, artificial intelligence, machine learning and neuroscience. It is available at: https://tiny.cc/2072iz <https://tiny.cc/2072iz> Featuring dialog: === "Leveraging Adaptive Games to Learn How to Help Children Learn Effectively" == Dialog initiated by Georges Kachergis with responses from: Jennifer Zosh, Roberta Golinkoff, Kathy Hirsch-Pasek, Rebecca Dore, Brenna Hassinger-Das, Benedict du Boulay and Ken Koedinger. == Topic: Fundamental research aiming to understand better how children learn and develop can have a major societal impact. One key example is education: in the last decades, several advances enabled to show how certain learning and teaching techniques could improve significantly comprehension and memorization in children. A major challenge consists in translating these advances into real classroom practices, a challenge at the core of “translational educational sciences”. In this newsletter, a dialog initiated by Georges Kachergis highlights how adaptive learning technologies, e.g. educational apps, can be both an efficient channel for this translation, and an opportunity for further understanding how to foster efficient learning in the class- room. Several experts of this domain provide their point of view and discuss various challenges to be addressed, ranging from establishing strong collaborations between developmentalists, app developers and teachers, to deploying large-scale ecologically valid experimentations. They also offer a perspective on how artificial intelligence can play a key role in impactful educational apps, enabling to implement per- sonalized and motivating learning strategies. Call for new dialog: === «How to Evaluate Open-ended Learning Agents? » == Dialog initiated by Clément Moulin-Frier == Topic: Then, a new dialog initiation is proposed by Clément Moulin-Frier on a fundamental question for the future of AI: How to evaluate open-ended learning agents? While impressive progress was made recently in reinforcement learning, as shown by performance in benchmarks with a set of pre-defined external objectives, a major challenge is now to build autonomous agents that can progressively discover and learn open repertoires of skills in open worlds. Several steps in this direction have been made in the last decade, such as algorithms enabling agents to imagine their own goals and self-organize their learning curriculum (initially in the CDS community, and recently extended in the machine learning community). Another related line of work is open-ended evolution in multi-agent systems with co-evolution. However, a key challenge is how to measure progress in this area, as traditional RL benchmarks were not constructed to address open-ended learning. I invite all readers interested to participate to this dialog to send me their response by June 30th, 2020. The length of each response must be between 600 and 800 words including references (contact pierre-yves.oudeyer(a)inria.fr <mailto:pierre-yves.oudeyer@inria.fr>). Let us remind you that all issues of the newsletter are all open-access and available at: https://goo.gl/ZjjZNz <https://goo.gl/ZjjZNz> I wish you a stimulating reading! Best regards, Pierre-Yves Oudeyer, Editor of the IEEE CIS Newsletter on Cognitive and Developmental Systems Research director, Inria Head of Flowers project-team Inria, Univ. Bordeaux and Ensta ParisTech, France http://www.pyoudeyer.com <http://www.pyoudeyer.com/> Twitter: https://twitter.com/pyoudeyer <https://twitter.com/pyoudeyer> and Fabien Benureau, Editorial Assistant Cognitive NeuroRobotics Unit, Okinawa Institute of Science and Technology 1919-1 Tancha, Onna, Okinawa Japan http://fabien.benureau.com <http://fabien.benureau.com/> Email: fabien.benureau [at] oist [dot] jp

Jan. 23, 2020

UK PhD opportunities in Computational/Mathematical Biology or Neuroscience (EPSRC funded, 3.5 yrs, Sept 2020 start)

by James Rankin

*PhD in Computational/Mathematical Biology or Neuroscience (EPSRC funded, 3.5 yrs, Sept 2020 start) * There are a number projects proposed in Computational and Mathematical Biology or Neuroscience in the following call (follow Research Theme link to Mathematical biology and medicine). General information & apply (funding is primarily targeted at currently UK-based students): http://www.exeter.ac.uk/studying/funding/award/index.php?id=3830 Deadline is soon: 30th January. Contact: j.a.rankin(a)exeter.ac.uk or m.goodfellow(a)exeter.ac.uk

Jan. 23, 2020

postdoc position in reinforcement learning and decision making

by Gershman, Samuel Joseph

The Computational Cognitive Neuroscience Lab at Harvard University (Director: Sam Gershman) is seeking 1-2 postdoctoral fellows to work in the area of reinforcement learning and decision making. The start date is on or after October 1, 2020. The position is for 3 years. Requirements for this position are: (1) Experience with fMRI and/or human behavioral experiments. (2) A strong technical background in Bayesian and reinforcement learning models. Interested applicants should e-mail gershman(a)fas.harvard.edu<mailto:gershman@fas.harvard.edu> with a CV, statement of interest (not to exceed 2 pages), and a link to a publications page. For more information on the lab's research, please visit http://gershmanlab.webfactional.com/ Harvard is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, or any other characteristic protected by law.

Jan. 22, 2020

Phd position in perceptual decision making @ TU Darmstadt

by Jäkel, Frank

The Models of Higher Cognition group (PI: Frank Jaekel) at the TU Darmstadt Centre for Cognitive Science is looking for a PhD student in the area of perceptual decision making. In a joint DFG-project with the Neurophysiology group at the University of Mainz (PI: Maik Stuettgen) we are investigating neural and cognitive processes underlying criterion learning. We are looking for candidates who are interested in theory and modeling (signal detection theory, probabilistic models, reinforcement learning, neural networks) as well as psychophysical experiments in humans. Informal inquiries can be sent to jaekel(a)psychologie.tu-darmstadt.de<mailto:jaekel@psychologie.tu-darmstadt.de>. More information on the Models of Higher Cognition group can be found here: https://www.psychologie.tu-darmstadt.de/mhc and the full job ad is here: https://www.tu-darmstadt.de/universitaet/karriere_an_der_tu/stellenangebote…

Jan. 22, 2020

Two fully-funded PhD positions on infant neuroimaging and computational modelling at Trinity College Dublin, Ireland

by Lorijn Zaadnoordijk

Join us! Two PhD fully-funded scholarships are available to study the foundations of cognition using infant neuroimaging and computational modelling. Apply before Jan 31 for China Scholarship Council funding, or before Mar 1 for funding from our ERC FOUNDCOG project. How does the human mind develop? The FOUNDCOG team will address this question using neuroimaging of infants, in their critical first year after birth, to capture the development of the brain and its functions. We will interpret the results by comparing them to computational models of learning from artificial intelligence. In addition to characterising the development of the human mind, we aim to understand how it is disrupted by brain injury and to produce new diagnostic tools for neonatologists. 1) PhD Scholarship in Infant Neuroimaging, to start in September 2020 2) PhD Scholarship in Computational Modelling, to start in September 2020 · Includes fees, stipend and travel for 4 years, with funding from the ERC FOUNDCOG project · Excellent candidates from outside of the EU will also be considered · Selection will begin in March 2020, and the position will remain open until filled For more information, see: http://cusacklab.org/vacancies.html

Jan. 22, 2020

study abroad programs in Budapest

by Balazs Ujfalussy

Dear All: BSCS-US announces its two programs in Budapest for 2020. 1. Our regular program: BSCS - BUDAPEST SEMESTER IN COGNITIVE SCIENCE: FROM PHILOSOPHY TO NEUROSCIENCE will be held in the Fall of 2020, see http://www.bscs-us.org/ <http://www.bscs-us.org/>. Program start/end dates August 31 - December 4, 2020. Inquiry: bscs(a)bscs-us.org <mailto:bscs@bscs-us.org> 2. We have also a summer program Systems Neuroscience: a study abroad summer program http://www.sysneuro-semester.org/ <http://www.sysneuro-semester.org/> Program start/end dates June 15 - Aug 7, 2020 The BSCS Systems Neuroscience Program takes place at and academically supervised by the Department of Anatomy, Histology and Embryology, Semmelweis University Medical School, Budapest Inquiry: Péter Érdi (SysNeuro Director; BSCS Co-Director) perdi(a)kzoo.edu <mailto:perdi@kzoo.edu> bscs(a)bscs-us.org <mailto:bscs@bscs-us.org>

Jan. 22, 2020

from Italy to Computer Science at Berkeley - fellowships

by Alessandro Treves

Are you a young researcher in Italy and interested in computer science at Berkeley? Fulbright offers scholarships for a research period at the renowned ICSI – International Computer Science Institute. It is an opportunity for temporary research assistants (Italian or non-Italian) at Italian research centers or universities, who have completed their PhD no later than 3 years prior to the DEADLINE, which is February 3, 2020. Visit the Call by FULBRIGHT http://www.fulbright.it/icsi/ to apply. -- Alessandro Treves SISSA, Cognitive Neuroscience, http://people.sissa.it/~ale/limbo.html if in, rm 241, via Bonomea 265, 34136 Trieste, Italy: +39-040-3787623

Jan. 22, 2020

Save the date! UK Neural Computation 2020 June 22nd-24th in Sheffield

by Hannes Saal

Save the date! We are pleased to announce the 2nd annual UK Neural Computation conference, June 22nd-24th 2020, at the University of Sheffield This is a national meeting for the UK community working on the computational side of neuroscience, which last year attracted more than 130 researchers. Same basic format as last year, so we will have modelling, maths, data science, theory, machine-learning, and all combinations thereof. Schedule: June 22nd: Tutorials and seminars for early career researchers June 23rd-24th: Main meeting Confirmed speakers for the main meeting: Rui Ponte Costa (Bristol) Dan Goodman (Imperial) Marc de Kamps (Leeds) Leah Krubitzer (UC Davis) Peggy Series (Edinburgh) Huiling Tan (Oxford) Yulia Timofeeva (Warwick) Mark Van Rossum (Nottingham) Keynote: David Willshaw (Edinburgh) For further details, see the website: http://neuralcomputation.uk/ Please look out for the abstract submission and registration announcement, coming soon. Hope to see you there! Hannes Saal (Sheffield) Robert Schmidt (Sheffield) Stuart Wilson (Sheffield) Mark Humphries (Nottingham)

Jan. 21, 2020

Industrial Ph.D. on Machine Learning in cognitive rehabilitation (La Rioja, Spain). Deadline January 31, 2020

by Asier Erramuzpe Aliaga

[Apologies for cross-posting] Industrial Ph.D. position on Machine Learning in cognitive rehabilitation (La Rioja, Spain) Neuronup is a leading company for cognitive rehabilitation working with several thousands of patients worldwide. More information at https://app.neuronup.com/assets/pdf/info/info_en_US.pdf and https://www.neuronup.com/en/ The Neuronup headquarters are located in Logroño, the capital of the region La Rioja, Spain. Logroño is a Northen city in Spain which is only 1.30h far from Bilbao-Basque Country, 1.50h from San Sebastian-Basque Country, 1h from Pamplona-Navarre Duration of the contract: 3 years, 40 h a week Gross salary: 24K EUR Cost of living in Logroño <https://www.numbeo.com/cost-of-living/in/Logro%C3%B1o-Logrono-Spain> Requisites (all the applicants must have): R1. Degree in Computer Science or Telecommunications Engineering R2. MSc in Computer Science or Telecommunications Engineering. R3. Average marks of first degree of 7.5/10 or higher. R4. Experience in Python and R R5. Have a permanent residence in Europe R6. C1 English Level The applicant will finalize an Industrial Ph.D. in Machine Learning in Health, funded by the CDTI-project "Digital solutions for rehabilitation and cognitive stimulation in neuropsychology" Tasks to perform during the Ph.D.: T1. Development of prediction models. T2. Classification and categorization of patients. T3. Model validation. T4. Multi-dimension data visualization T5. Integration of developed tools into the Neuronup database and search engine. *Interested applicants send an updated CV and two reference letters to neuronup(a)neuronup.com <neuronup(a)neuronup.com> before January 31, 2020*

Jan. 21, 2020