- Comp-neuro - lists.cnsorg.org

Reminder: Call for papers for Vision Research special issue on "Calibrating the visual system"
by Ruben Coen-Cagli 09 Jan '20

09 Jan '20

**Apologies for cross posting Calibrating the visual system Vision Research seeks contributions for a special issue entitled ‘Calibrating the visual system’. Visual systems evolved according to consistent characteristics of the environment and task demands of the species, but also to be malleable in order to adapt to specific perturbations in the stimulus and the observer. The special issue aims to integrate work on the calibration of visual processes in relation to the stable properties of natural scenes or to variations in the sensory stimulus or the individual’s sensory apparatus, in different visual domains and over different time scales. Of particular interest are processes of short, medium and long-term adaptation, and processes to maintain perceptual constancy, as well as processes that occur during visual development. We are also seeking papers concerned with the benefits, costs, and limitations of these adaptations for optimal encoding of visual information, and for learning and representing relevant stimuli in the environment. We are seeking both original research articles and reviews on this subject, covering diverse methods including psychophysics, physiology, neuroimaging, and computational modelling Guest Editors: Jenny Bosten, University of Sussex Ruben Coen Cagli, Albert Einstein College of Medicine Anna Franklin, University of Sussex Samuel Solomon, UCL Michael Webster, University of Nevada, Reno Submission Deadline: March 2020 Manuscripts are submitted through the Special Issue portal of the submission system and go through peer review as usual. Each article in the special issue is assigned a unique identifier and once the article is accepted will be published in a regular journal issue as soon as available. The unique identifier allows us to simultaneously add the article to the special issue on ScienceDirect which is gradually built up as individual articles are published online. We do provide Shared Link of the final published version to the corresponding authors with 50 days free access so that they can share it. Submission Instructions https://ees.elsevier.com/vr/<https://nam04.safelinks.protection.outlook.com/?url=https%3A%2F%2Fees.elsev…> Authors to select “VSI: Calibrating vision” as article type when submitting their special issue paper in EES. Guide for Authors for more details is https://www.elsevier.com/journals/vision-research/0042-6989/guide-for-autho…<https://nam04.safelinks.protection.outlook.com/?url=https%3A%2F%2Fwww.elsev…> <https://nam04.safelinks.protection.outlook.com/?url=https%3A%2F%2Fsites.goo…>

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Faculty positions at Imperial's EEE department on Robotics & Machine Learning (deadline: Jan 27)
by Dan Goodman 08 Jan '20

08 Jan '20

We are expanding our research activities in Robotics and Machine Learning at the Electrical and Electronic Engineering department at Imperial College, and we are looking to appoint up to 2 new permanent faculty (UK Lecturer/Senior Lecturer level, US equivalent is Assistant/Associate Prof) in the Intelligent Systems and Networks Group. More details here: https://www.imperial.ac.uk/jobs/description/ENG01119/lecturersenior-lecture… These posts aren't intended for computational neuroscientists specifically, but might be interesting for someone who has worked applying computational neuroscience ideas to robotics or "intelligent systems" in a fairly applied way (i.e. actual robots not just simulators). Closing deadline is Jan 27th, so apply soon! Dan

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Staff Scientist/Engineer Position at NIMH (Bethesda, MD)
by Dave Jangraw 06 Jan '20

06 Jan '20

HIRING: Staff Scientist/Engineer <https://github.com/djangraw/hiring/tree/master/Staff#who-we-are>Who we are: Drs. Daniel Pine <https://www.nimh.nih.gov/research/research-conducted-at-nimh/research-areas…> and David Jangraw <https://davidjangraw.wordpress.com/> are seeking applicants for a Scientist/Engineer position that would program and maintain experimental tasks and hardware for the study of pediatric mental illnesses in the Emotion and Development Branch <https://www.nimh.nih.gov/research/research-conducted-at-nimh/research-areas…>. Our aims are to better understand the causes and mechanisms of certain psychiatric disorders, improve their definition and classification, and ensure the best treatment can be offered to psychiatric patients. We do this by identifying neuroscience-based phenotypes that map onto clinical phenotypes, and which can be targeted with novel treatments. <https://github.com/djangraw/hiring/tree/master/Staff#what-you-will-do>What you will do: The candidate will help the lab apply cutting-edge data collection methods to research on anxiety and mood disorders in young people. They will work closely with post-doctoral fellows to develop new tasks in PsychoPy (some existing tasks are written in E-Prime). The candidate will discuss the post-doc's plans, advise them on technical aspects of the task, and write the task code. Many tasks must collect behavioral data and synchronize it with physiology and brain imaging data. They will also write and maintain pre-processing and/or analysis pipelines for data from these tasks. In addition, the candidate will install and maintain software and hardware required for data collection, including EyeLink eye trackers and Biopac physiology monitors. The candidate will work closely with the NIMH's functional magnetic resonance imaging (fMRI) core when dealing with specialized hardware for use during brain scans. A motivated candidate could also advance the lab's new techniques, including wearable heart monitors and eye trackers, remote data collection with Amazon Mechanical Turk, Affectiva facial expression analysis, and iPhone app development. This is an extremely collaborative position that requires a blend of technical expertise and skilled communication. The candidate will assist about a dozen post-docs in 3 different research groups, balancing multiple projects at any given time. They must work with the post-docs and their principal investigators to establish priorities, timelines, and expectations. They must be comfortable working with team members who have different levels of technical experience. <https://github.com/djangraw/hiring/tree/master/Staff#who-you-are>Who you are: Candidates with a strong programming or engineering background who are interested in psychology and neuroscience are encouraged to apply. Requirements for this position include: - Bachelor's degree or (preferably) MS or PhD in computer science, engineering, neuroscience, or a related field - ≥3 years of programming experience in Python (preferably) or in R/Matlab - Strong organization skills and an ability to balance multiple projects - Excellent interpersonal and written (English) communication skills Desirable experience includes: - Research experience in psychology or neuroscience - Experience with PsychoPy or other experimental design software - Experience with eye tracking, physiology, or fMRI hardware - Knowledge of software for processing neuroimaging data <https://github.com/djangraw/hiring/tree/master/Staff#how-to-apply>How to apply: The successful candidate will work jointly with Drs. Daniel Pine and David Jangraw, as well as other staff and fellows in the Emotion and Development Branch. Please write to them (pined(a)mail.nih.gov, david.jangraw(a)nih.gov) with your CV, using the email as the cover letter. Other enquiries are also very welcome. The National Institutes of Health is an equal opportunity employer.

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Postdoctoral Research Fellow in Computational Neuroscience, University of Exeter, UK
by Roman Borisyuk 06 Jan '20

06 Jan '20

A Postdoctoral Research Fellow position in Computational Neuroscience is available at the University of Exeter, UK to work on a 3-year BBSRC-funded project, in collaboration with neurobiologists from the University of St Andrews. Vertebrate neural circuits can dynamically change their activity to generate an appropriate behaviour in response to a changing environment. This project asks how neural networks can switch between different behaviours. Specifically, you will investigate the dynamic transitions between two rhythmic activity patterns in the spinal circuits of the tadpole to discover the cellular and network mechanisms driving this transition. You will build and simulate biologically realistic models of neural activity from population to conductance-based level as well as probabilistic models of connectivity (Roberts et al., J Neurosci 2014; Borisyuk et al., PLOS One 2014; Ferrario et al., eLife 2018). You will be supported by experimental collaborators who have determined neuronal and network properties with an exquisite level of detail. Predictions from your simulations will be tested experimentally using an array of electrophysiology and imaging tools. Fundamental neuronal mechanisms are highly conserved across vertebrate species, so your results will provide insight on dynamic circuit reconfiguration in more complex neural networks in mammals. We are seeking an outstanding scientist with a PhD in computer science, mathematics, physics, or engineering. A strong experience in neuronal modelling and excellent programming skills (in languages such as C++, Python, MATLAB) are expected. The ideal candidate will be familiar with the nonlinear dynamics of neural activity, have experience in developing models of electrically excitable cells (e.g. Hodgkin-Huxley type), and possess knowledge in neurophysiology. Applicant should be highly motivated for research, have excellent organizational skills, and be able to communicate effectively with outstanding writing ability. The University of Exeter provides a vibrant environment for multidisciplinary studies. This is facilitated by the newly built Living Systems Institute, which promotes collaborations between neuroscientists, mathematicians, and computer scientists. Exeter is a mid-sized city in the South West of England, just a few miles from the beautiful Jurassic coast and wild moor lands. For more information about this job and to apply, please follow the link http://bit.ly/ResearchFellowExeter Enquiries: Dr Joel Tabak j.tabak(a)exeter.ac.uk Prof Roman Borisyuk r.m.borisyuk(a)exeter.ac.uk ________________________________ [http://www.plymouth.ac.uk/images/email_footer.gif]<http://www.plymouth.ac.uk/worldclass> This email and any files with it are confidential and intended solely for the use of the recipient to whom it is addressed. If you are not the intended recipient then copying, distribution or other use of the information contained is strictly prohibited and you should not rely on it. If you have received this email in error please let the sender know immediately and delete it from your system(s). Internet emails are not necessarily secure. While we take every care, University of Plymouth accepts no responsibility for viruses and it is your responsibility to scan emails and their attachments. University of Plymouth does not accept responsibility for any changes made after it was sent. Nothing in this email or its attachments constitutes an order for goods or services unless accompanied by an official order form.

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CNS*2020 Melbourne: Call for Workshops and Tutorials
by Martin Zapotocky 06 Jan '20

06 Jan '20

Organization for Computational Neurosciences 2885 Sanford Ave SW #15359 Grandville, MI 49418 USA *Call for Workshops and Tutorials at the 29th Annual Computational Neuroscience Meeting (CNS*2020), Melbourne, July 18--22* We are requesting proposals for workshops and tutorials from the international community of computational neuroscientists. Proposals from all levels of faculty as well as advanced postdoctoral fellows are welcome. This is a great opportunity to organize a small meeting or introduce novel methodology with just a few of the headaches of actually organizing it. We are looking forward to your submissions. CALL FOR *WORKSHOPS* (see below and also https://www.cnsorg.org/cns-2020-call-for-workshops <http://clicks.memberclicks-mail.net/wf/click?upn=l2WnPG7xcNg4BaXop0h67T8NXQ…>) Peter Jedlicka, Workshops Chair for CNS 2020 CALL FOR *TUTORIALS* (see below and also https://www.cnsorg.org/cns-2020-call-for-tutorials <http://clicks.memberclicks-mail.net/wf/click?upn=l2WnPG7xcNg4BaXop0h67T8NXQ…>) Anca Doloc-Mihu, Tutorials Chair for CNS 2020 ------------------------------------------------------------------------ 1. WORKSHOP PROPOSAL SUBMISSION INSTRUCTIONS FOR CNS 2020, MELBOURNE Workshops, in which computationally related neuroscience topics can be presented, will take place during the last two days (*July 21 and July 22, 2020*) of the 29th Annual Computational Neuroscience Meeting <http://clicks.memberclicks-mail.net/wf/click?upn=l2WnPG7xcNg4BaXop0h67T8NXQ…>. For each workshop, usually, several speakers are invited to introduce a unifying theme, but ample time for discussion should also be planned. *Please note that there is a change in the format of the meeting compared to previous years.* The main meeting will conclude on July 21, with a keynote lecture and a poster session taking place in the afternoon. The morning of July 21 is reserved for workshops. A goal of this "mixed day" of the meeting is to facilitate an overlap of attendance. Participants who have registered for either the main meeting or the workshops will be allowed to attend all of the events on July 21 (workshops, keynote, poster session). The last day of the meeting, July 22, is reserved for workshops, as in the previous years (workshop registration will be required to attend). Accordingly, the possible duration of a workshop is anywhere from 0.5 days (one session lasting 3.5 hours) to 1.5 days (three half-day sessions). Half-day workshops will be preferentially scheduled for July 21. They will thus offer the opportunity to attract a wider audience still present for the main meeting. Submit workshop proposals to *workshops AT cnsorg.org*. The Past Meetings page <http://clicks.memberclicks-mail.net/wf/click?upn=l2WnPG7xcNg4BaXop0h67bHV7A…> gives access to archives of workshops held at previous CNS meetings. The proposal should be submitted as a Word or pdf file and MUST include the following sections: * *Workshop Title* * *Organizers* (list primary organizer first; include affiliations and emails) * *Workshop duration* (half-day, one or two days, there are 2 sessions per day) * *Number of expected speakers* * *Brief Description* (~150 words; if possible, say why this is significant or timely) * *Speakers* (mark expected or confirmed) Also please note the following rules which were approved by the OCNS Board on July 15, 2013: * Each individual can be the organizer or co-organizer on only *one* workshop. * The number of confirmed speakers is *one of the criteria* for accepting the proposal. * Overlapping proposals may be asked to be combined. If the organizers do not wish to combine the proposals, only one of the proposals may be accepted. For information on available financial support for accepted workshops, please *see the sections "Registration" and "Travel Awards" below*. *DEADLINE*: Workshops submitted before *January 31, 2020*, will be given priority in acceptance. Workshop proposals arriving after January 31, 2020, will be evaluated based on remaining space for additional workshops. No further workshop acceptances will be anticipated after *May 15, 2020*. Please address any questions to *workshops AT cnsorg.org*. ------------------------------------------------------------------------ 2. TUTORIAL PROPOSAL SUBMISSION INSTRUCTIONS FOR CNS 2020, MELBOURNE Tutorials are intended as introductions into main methodologies of various fields in computational neuroscience. Tutorials are particularly tailored for early-stage researchers as well as researchers entering a new field in computational neuroscience. The tutorials are held on the first day,*18 July 2020*, with a typical total attendance of ca. 100 students allowing for four concurrent sessions during the day. Three different formats are available: * Introductory FULL DAY courses * Specialized HALF DAY tutorials * 30 MINUTES software showcase As approved by the OCNS Board on July 13, 2019, accepted tutorials are eligible to receive maximum one travel award and tutorial registration waivers for 1-3 organizers depending on the length of the tutorial. Software showcase sessions do not receive any funding, travel award, or free registration. Submit tutorial proposals to *tutorials AT cnsorg.org*. Please compare it with the previous year's tutorials <http://clicks.memberclicks-mail.net/wf/click?upn=l2WnPG7xcNg4BaXop0h67T8NXQ…>. Note that our new format, the showcases, will be combined to one continuous afternoon program. The proposal should be submitted as a Word or pdf file and MUST include the following sections: * *Tutorial Title* * *Organizers* (list primary organizer first; include affiliations and emails) * *Format* (full-day, half-day, showcase) * *Brief Description* (max. 300 words; include links to relevant software) *DEADLINE*: Tutorial proposals should be submitted before *January 31, 2020*. Please address any questions to *tutorials AT cnsorg.org.* ------------------------------------------------------------------------ *Registration*: Workshop/tutorial registration will occur through the OCNS registration website for CNS*2020. All workshop/tutorial participants, including speakers, must register. Each workshop/tutorial is eligible to receive workshop/tutorial registration waivers for 1-3 speakers/organizers (depending on the length of the workshop/tutorial). *Travel awards*: A limited number of Travel Awards will be available for workshop/tutorial organizers or speakers (maximum one Travel Award per workshop/tutorial). Priority will be given to postdocs and early career faculty. Travel Award amounts will be variable, depending on distance traveled. Please indicate which speaker or organizer you would like to be considered for this mechanism. The Travel Awards Chair reserves the right to approve / not approve a travel award nomination, based on seniority considerations with preference given to young scientists. It is likely that there will be fewer travel awards than workshops.

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CFP Special Session on "Neurocomputation and Cognition" WCCI-IJCNN 2020
by Alex Frid 05 Jan '20

05 Jan '20

*Special Session on "Neurocomputation and Cognition"* 2020 IEEE International Joint Conference on Neural Networks - World Congress on Computational Intelligence (IJCNN-WCCI) July 19-24 2020, Glasgow, UK *Important Dates:* Paper submission: 15 January 2020 Notification of acceptance: 15 March 2020 *Aims and Scope:* The field of neurocomputation is concerned with the possibility of computation in computers by following the paradigm and analysis of computation that occurs in neurons and the brain. In recent years this has resulted in breakthroughs in pattern recognition, machine learning theory, clustering, associative memory and fault tolerant computation. Consequently, the precision resulting from the computational and mathematical viewpoint has led to insights helping to clarify aspects of one of the ultimate human research endeavors: understanding the manner in which human thought emerges from the organization of the human brain. A session on this topic was presented in Rio de Janeiro IJCNN 2018 and was very successful. Extended papers developed from this session have been submitted to a special issue of the veteran journal Annals of Mathematics and Artificial Intelligence and this issue is scheduled to appear early in 2020. We will again look into the possibility of another special issue with an established veteran journal. *Topics:* The special session invites submissions in any of the following (and related) areas: - Neurocomputation techniques as related to human cognitive issues - Neurocomputational Models of Embodied Natural Language Processing - Understanding brain information processing underlying real-world tasks. - Validation of cognitive models using machine learning methods - Computational Biomarkers for Diseases - Computational Biomarkers for Cognitive Activity - Neurocomputational and Architectural Models of Creativity - Use of Neurocomputation and Machine Learning Tools to identify Physiological Features - Biologically Inspired Neural Computing - Analysis of Time Dependent Information in cognition *Submission:* https://ieee-cis.org/conferences/ijcnn2020/upload.php Under "Main research topic*" select “S51. Neurocomputation and Cognition” *More details at:* https://neurocomputation.wordpress.com/2020-ieee-wcci-special-session/ *Organizers:* Prof. Larry M. Manevitz – Director Neuro-computation Laboratory <https://neurocomputation.wordpress.com/>, Caesarea Rothschild Institute and Department of Computer Science, U. Haifa, Haifa, Israel and Department of Computer Science, Ariel University, Israel (corresponding organizer) manevitz(a)cs.haifa.ac.il Dr. Alex Frid – Laboratory of Clinical Neurophysiology, Rappaport Faculty of Medicine, The Technion (Israel Institute of Technology), Haifa, Israel, alex.frid(a)gmail.com Dr. Hananel Hazan – Levin Lab, Department of Biology <https://ase.tufts.edu/biology/labs/levin/>, Tufts University, Boston, USA, hananel(a)hazan.org.il, personal site <https://hananel.hazan.org.il/> Prof. Bernardete Ribeiro – Department of Computer Science, Coimbra University, Coimbra, Portugal, bribeiro(a)dei.uc.pt, personal site <https://eden.dei.uc.pt/~bribeiro/pagina/>

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Open PhD and PostDoc positions in Spiking Neural Network Learning
by Robert Legenstein 05 Jan '20

05 Jan '20

The Lab of Robert Legenstein at TU Graz is offering funded PhD and PostDoc positions in the area Deep Learning in Spiking Neural Networks for Neuromorphic and Memristive Hardware. A background in Deep Learning, Computer Science, or Mathematics is desirable, as well as evidence for excellent prior performance as a student. Successful candidates will work on learning algorithms for spiking neural networks in the interdisciplinary consortium of one of two projects: a) SYNCH (EU): We collaborate with Hardware experts who will implement the developed algorithms in cooperation with our team in a spiking neural network chip. The chip will be applied to various tasks within a brain-silicon hybrid system such as the classification of recorded brain network states. (see https://synch.eucoord2020.com/ for a description) b) SMALL (Chist-Era) We will develop learning algorithms for spiking neural networks and collaborate with experts for neuromorphic and memristive hardware with the goal to implement proof-of-concept ultra-low-power machine learning solutions. (see https://www.tugraz.at/institute/igi/people/prof-legenstein/projects/ for a brief description). Please send your application including a CV, any prior thesis and/or work by 31. Jan 2020 to robert.legenstein(a)igi.tugraz.at Dr. Robert Legenstein Institute Head Institute of Theoretical Computer Science Graz University of Technology Inffeldgasse 16b/I, 8010 Graz, Austria http://www.igi.tugraz.at/legi/ Follow @CompLegenstein on Twitter. ++43/316/873-5824 ----------------------------------

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Postdoctoral Swartz Fellowship Positions in Theoretical and Computational Neuroscience at Yale University
by Murray, John 04 Jan '20

04 Jan '20

*** APPLICATION DEADLINE EXTENDED TO JANUARY 15, 2020. *** Postdoctoral Swartz Fellowship Positions in Theoretical and Computational Neuroscience at Yale University The Swartz Center in Theoretical Neurobiology at Yale University invites applications for up to two postdoctoral positions in Theoretical and Computational Neuroscience, with flexible start date in 2020. Competitive candidates include those with a strong quantitative background who wish to gain neuroscience research experience. We especially encourage candidates with an interest in collaborating directly with experimental neuroscientists. The candidates will be expected to perform theoretical/computational studies relevant to one or more laboratories of the Swartz Center at Yale (for a list of affiliated faculty, see: https://medicine.yale.edu/neuroscience/swartz/corelabs.aspx) and will be encouraged to participate in an expanding quantitative biology environment. Candidates must hold a Ph.D. or equivalent degree by the time of beginning the fellowship. Please send a Curriculum Vitae, selected reprints, contact information for three references, and a statement of research interests including the laboratories of interest at Yale. All application materials should be sent electronically to the following e-mail address: john.murray(a)yale.edu<mailto:john.murray@yale.edu> Applications will be reviewed as they are received, but priority will be given to those received on or before January 15th, 2020. For any questions, please contact John Murray<mailto:john.murray@yale.edu?subject=Swartz%20fellowship>. Yale University is an affirmative action/equal opportunity employer. Yale values diversity in its faculty, students, and staff and especially welcomes applications from women and underrepresented minorities. John D. Murray ----------------------------------------------- Assistant Professor Department of Psychiatry Yale University School of Medicine murraylab.yale.edu<http://murraylab.yale.edu/> -----------------------------------------------

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Postdoctoral position in computational neuroscience at Emory
by Prinz, Astrid A 03 Jan '20

03 Jan '20

Postdoctoral position in computational neuroscience Prinz lab, Department of Biology, Emory University, Atlanta AVAILABLE IMMEDIATELY. Applications will be accepted until the position is filled. We are looking for a highly motivated postdoctoral researcher to model sympathetic neurons and circuits and their plasticity and homeostasis in the context of spinal cord injury. The position is part of an NIH-funded, collaborative research project with the Hochman lab at Emory’s Department of Physiology. The Prinz lab is embedded in a highly interactive research environment of multiple computational and experimental neuroscience labs in the Department of Biology, at Emory University, and in the wider Atlanta area neuroscience community. The ideal candidate has a strong background in neuroscience and computer modeling. Experience with electrophysiology is desirable, although not required. The position is available immediately. Further information on the lab is located at http://www.biology.emory.edu/research/Prinz/index.html. To apply, please submit a CV, description of research interests, and contact information for two references to astrid.prinz(a)emory.edu<mailto:astrid.prinz@emory.edu> . Pre-application inquiries are also accepted at the same address. ________________________________ This e-mail message (including any attachments) is for the sole use of the intended recipient(s) and may contain confidential and privileged information. If the reader of this message is not the intended recipient, you are hereby notified that any dissemination, distribution or copying of this message (including any attachments) is strictly prohibited. If you have received this message in error, please contact the sender by reply e-mail message and destroy all copies of the original message (including attachments).

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CfP 29th International Conference on Artificial Neural Networks ICANN 2020, Sept 15-18, Bratislava, SK
by Paolo Masulli ENNS 03 Jan '20

03 Jan '20

29th International Conference on Artificial Neural Networks ICANN 2020 https://e-nns.org/icann2020 *Bratislava, Slovakia** **15 - 18 September 2020* ============================================================ The International Conference on Artificial Neural Networks (ICANN) is the annual flagship conference of the European Neural Network Society (ENNS). In 2020 the Faculty of Mathematics, Physics and Informatics (FMPI), Comenius University in Bratislava, together with the Slovak Society for Cognitive Science, organize the 29th ICANN Conference from the 15th to the 18th of September 2020 in Bratislava, Slovakia. *CONFERENCE TOPICS* ICANN 2020 is a dual-track conference featuring tracks in Brain Inspired Computing and Machine Learning and Artificial Neural Networks, with strong cross-disciplinary interactions and applications. All research fields dealing with Neural Networks will be present at the conference. A non-exhaustive list of topics includes: Machine Learning: Deep Learning, Neural Network Theory, Neural Network Models, Graphical Models, Bayesian Networks, Kernel Methods, Generative Models, Information Theoretic Learning, Reinforcement Learning, Relational Learning, Dynamical Models, Recurrent Networks. Brain Inspired Computing: Cognitive models, Computational Neuroscience, Self-organisation, Reinforcement Learning, Neural Control and Planning, Hybrid Neural-Symbolic Architectures, Neural Dynamics. Neural Applications for: Bioinformatics, Biomedicine, Intelligent Robotics, Neurorobotics, Language Processing, Image Processing, Sensor Fusion, Pattern Recognition, Data Mining, Neural Agents, Brain-Computer Interaction, Neural Hardware, Evolutionary Neural Networks. *CALL FOR CONTRIBUTED SCIENTIFIC COMMUNICATIONS* All scientific communications presented at ICANN 2020 will be reviewed and scientifically evaluated by a panel of experts. The conference will feature two categories of communications: - oral communications (15'+5') - poster communications Call for Special Sessions: ICANN2020 organizers cordially invite internationally recognised experts to organise Special sessions and workshops within the general scope of the conference. Special Session Proposal request should be sent to icann2020(a)fmph.uniba.sk Call for Papers: Authors willing to present original contributions in either oral or poster category may submit: - A full paper of about 10-12 pages to be published in Springer-Verlag Lecture Notes in Computer Science (LNCS) series with individual DOI. - An extended abstract of suggested 4 pages to be published in Springer-Verlag Lecture Notes in Computer Science (LNCS) series, without indexing. The number of oral slots is limited. In case the number of requested oral presentations is larger than the available slots the ICANN scientific committee will select which papers will be reassigned to a poster session. This selection will be based on the coherence of the programme and is totally independent of the category of submission. Submission of communications will be online. More details will be made available soon on the conference website: https://e-nns.org/icann2020/ *IMPORTANT DATES* Deadline for special sessions submission: 1 February 2020 Opening of contribution submissions: 1 February 2020 *Deadline for full papers and extended abstracts submission: 15 March 2020* Notification of acceptance: 1 May 2020 Camera-ready paper upload and registration opening: 1 June 2020 Deadline for early registration at discount rate: 15 June 2020 Conference dates: 15-18 September 2020 *BEST PAPER AWARDS* ENNS will sponsor a maximum of four best paper awards, two in the Brain Inspired Computing track (one poster and one oral communication) and, analogously, two in the Machine Learning Research track. All awards will be presented during the final ceremony. *TRAVEL GRANTS* The European Neural Network Society sponsors a number of Student Travel Grants covering part of the costs for attending ICANN. Details will be provided on the conference website. *ORGANISATION* General Chairs: Igor Farkaš (FMPI, Comenius University in Bratislava, Slovakia) Ľubica Beňušková (FMPI, Comenius University in Bratislava, Slovakia) Organising Committee Chairs: Juraj Bánovský (FMPI, Comenius University in Bratislava, Slovakia), Alessandra Lintas (ENNS Lausanne, Switzerland) Honorary Chairs: Stefan Wermter, University in Hamburg, Germany (ENNS President) Věra Kůrková, Czech Academy of Sciences, Prague, Czechia (past ENNS President) Publicity Chair: Kristína Malinovská (FMPI, Comenius University in Bratislava, Slovakia) Communication Chair: Paolo Masulli (Technical University of Denmark, ENNS) -- Paolo Masulli ENNS

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