- Comp-neuro - lists.cnsorg.org

Special Session on Recent Advances in Spiking Neural Networks at ICANN 2023 - Call for Papers
by Sebastian Otte 07 Mar '23

07 Mar '23

Special Session on Recent Advances in Spiking Neural Networks at the 32nd International Conference on Artificial Neural Networks (ICANN) 2023 - Call for Papers Conference Dates: 26th to 29th of September 2023 ======================================================================= The special session invites contributions on recent advances in spiking neural networks. Spiking neural networks have gained substantial attention recently as a candidate for low latency and low power AI substrate, with implementations being explored in neuromorphic hardware. This special session aims to bring together practitioners interested in efficient learning algorithms, data representations and applications. Methodological as well as applied contributions are solicited, including topics like (non-exhaustive list): - Spiking Neural Network Models - Spike Response Models - Temporal Codes - Learning Algorithms for SNNs - Neuromorphic Computing Contributions (full papers or extended abstracts) have to be submitted through the regular ICANN submission system at: https://e-nns.org/icann2023/ Select track ASNN 2023 (Recent Advances in Spiking Neural Networks Special Session). Accepted papers to the special session will appear in the proceedings of the ICANN 2023 conference. IMPORTANT DATES: - Full paper and extended abstract submission: Apr. 9, 2023 - Notification of acceptance: 30th of June 2023 - Conference dates: 26 – 29 September 2023 PROGRAM COMMITTEE: t.b.a. ORGANIZERS: Prof. Dr. Sander Bohté Machine Learling Centrum Wiskunde & Informatica (CWI) Amsterdam, The Netherlands Dr. Sebastian Otte Neuro-Cognitive Modeling University of Tübingen Tübingen, Germany Please find a PDF version of this call at: https://bit.ly/3mkXeJt

1 0

[Meetings] 2023 Nengo Summer School Call For Applications (deadline March 15)
by Michael Furlong 07 Mar '23

07 Mar '23

[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 8th 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 neuromorphic hardware and will learn to run high-level applications 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, which includes spiking deep learning, reinforcement learning, adaptive motor control, and cognitive control networks. For a look at the last in-person summer school, check out this short video: https://youtu.be/5w0BzvNOypc We welcome applications from all interested graduate students, postdocs, professors, and industry professionals with a relevant background. ***Application Deadline: March 15, 2023*** Format: A combination of tutorials and project-based work. Participants are encouraged to bring their own ideas for projects, which may focus on testing hypotheses, 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 1, SpiNNaker) * 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  * integrate machine learning methods into biologically oriented models * interface Nengo with cameras and robotic systems * implement modern nonlinear control methods in neural models * and much more… Date and Location: June 4th to June 16th, 2023 at the University of Waterloo, Ontario, Canada. Applications: Please visit http://www.nengo.ai/summer-school, where you can find more information regarding costs, travel, lodging, along with an application form listing required materials. If you have any questions about the school or the application process, please contact Michael Furlong (michael.furlong(a)uwaterloo.ca) The school is also partly supported by ONR and ABR, Inc. We look forward to hearing from you!

1 0

Konstanz School of Collective Behavior 2023 Deadline Approaching .
by Ahmed El Hady 07 Mar '23

07 Mar '23

*Konstanz School of Collective Behavior 2023* *Konstanz, Germany * *Deadline to apply: March 30th, 2023* The Konstanz School of Collective Behavior (KSCB) will take place between /31 July 2023 – 12 August 2023/ at the cluster of excellence Centre for the Advanced Study of Collective Behaviour (CASCB) at the University of Konstanz <https://www.uni-konstanz.de/en/>. Uni Konstanz is an elite University of Excellence and ranked #1 young university in Germany with “Collective Behaviour" <https://www.exc.uni-konstanz.de/collective-behaviour/> as one of five research foci. Konstanz <https://www.konstanz.de/start> is a vibrant, small city located on the border between Germany and Switzerland, on the shores of the Bodensee (Lake Constance). Over two weeks, students will delve deeply into the topic of collective behaviour with lectures, hands-on tutorials, and projects, making it a unique and unforgettable experience. The school faculty will cover collective behaviors across a variety of species from worms ,drosophila, fish to non – human primates and human. A set of tutorials delving into state-of-the-art quantitative methods used to study collective behavior will complement the lectures. At the end of the school, students will work on independent projects guided by our resident faculty. Accommodation will be provided and paid by the organizers. A limited number of travel awards will be provided and a registration fee will be due (300 euros) once the student is admitted to the Konstanz School of Collective Behaviour. The registration fee will be waived to those coming from underrepresented minorities and those in need of financial support. For further information and application, visit our website: _https://www.exc.uni-konstanz.de/kscb/application-procedure/ <https://www.exc.uni-konstanz.de/kscb/application-procedure/> _ __ *KSCB 2023 faculty (still more to come ) : *Orit Peleg , Kevin Lala, Einat Couzin, Liang Li, Jake Graving, Armin Bahl, Katrin Vogt, Wataru Toyokawa, Serena Ding, Heiko Hamann *Contact us at: **ahmed.el-hady(a)uni-konstanz.de <mailto:ahmed.el-hady@uni-konstanz.de> * ** *All the best regards,* ** Ahmed El Hady On behalf of the KSCB organizational committee

1 0

Postdoc & PhD positions in TU Darmstadt, Germany
by Angela Yu 06 Mar '23

06 Mar '23

Postdoc & PhD positions in TU Darmstadt, Germany After 14 years as faculty at the University of California (San Diego), Prof. Angela Yu has recently joined TU Darmstadt as an Alexander von Humboldt AI Professor. Immediately available, and for the foreseeable future, are multiple positions for: Postdocs PhD students Master’s students Interns Research assistants Prof. Yu’s group conducts research at the intersection of natural and artificial intelligence. Her group uses mathematically rigorous and algorithmically diverse tools to understand the nature of representation and computations that give rise to intelligent behavior, with particular regard to the challenges posed by inferential uncertainty and the opportunities afforded by volitional movement. Using diverse machine learning and statistical tools, e.g. Bayesian statistical modeling, control theory, reinforcement learning, and information theory, theoretical frameworks and mathematical models are developed to explain various aspects of cognition important for intelligence: perception, attention, decision-making, learning, cognitive control, active sensing, economic behavior, and social interactions. Some example research questions currently pursued in the group include: - How does the ability to move and interact with the world facilitate perception, decision making, and representation learning? - Are human attention and working memory capacity limitation bugs or features? - How do humans represent and process faces? - How does the brain learn a general-purpose representation with so little labeled data and in the absence of concrete tasks? - How are humans so good at problem solving and logical reasoning, and yet also prone to certain fallacies and illusion in cognition & perception? - What do IQ tests actually measure and what light can they shed on AI research? - What roles do intrinsic motivations such as curiosity and emotions play in intelligence? With her expertise in computational neuroscience and cognitive science, as well as her previous experience in computational modeling and collaborations with psychologists, psychiatrists, neuroscientists, computer scientists, and mathematicians, Dr. Yu will strengthen and complement research at the Centre for Cognitive Science at TU Darmstadt and at hessian.AI, the Centre for Artificial Intelligence of Hesse based in Darmstadt. Her group members are encouraged and expected to collaborate extensively with preeminent researchers in cognitive science, AI, neuroscience, and related fields in Darmstadt and nearby research centers (Frankfurt, Mainz, Marburg, Gießen, Heidelberg, Tübingen, etc.). Positions are available immediately, and will remain open until filled. Salaries are commensurate with experience and expertise, and highly competitive with U.S. and European standards. Written and spoken fluency in English is required. Fluency in German is not. Interested candidates should send to Prof. Yu (angela(a)angelayu.org <mailto:angela@angelayu.org>) a CV, transcript(s), contact info for 2-4 references, as well as a statement of research detailing why the candidate and Prof. Yu’s group are a particularly good fit for each other.

1 0

Information Decomposition Workshop, Dresden, June 5-9, 2023
by Ari Pakman 06 Mar '23

06 Mar '23

Dear colleagues, We are pleased to inform you about our upcoming workshop on partial information decomposition (PID). The workshop will be called Decomposing Multivariate Information in Complex Systems (DeMICS 23) and will take place during June 5th - 9th, 2023 at the Max Planck Institute for the Physics of Complex Systems (MPI PKS) in Dresden. To participate please apply via the application link on the conference website: https://www.pks.mpg.de/demics23 Please forward this to anyone you consider interested in partial information decomposition, especially if you are unable to attend yourself. Please note the approaching application deadline on March 31st. Applications before this date will be considered preferentially. For successful applicants, meals and accommodation will be provided by the MPI PKS, with a small fee of 140 EUR asked for to cover social dinners, excursion and coffee breaks. We look forward to seeing you in Dresden! Kind regards, Conor Finn Ari Pakman Michael Wibral

1 0

Professor / Associate Professor in Biomedical Engineering at the University of Wollongong, Australia
by Manish Sreenivasa 03 Mar '23

03 Mar '23

*Permanent/Continuing, full-time appointment – Further details and application portal <https://ejgl.fa.ap1.oraclecloud.com/hcmUI/CandidateExperience/en/sites/CX_1…>* The School of Mechanical, Materials, Mechatronic and Biomedical Engineering at UOW, Australia, is committed to research and teaching excellence through its world-class undergraduate and postgraduate programs in a range of exciting areas of technology and sustainability. Lead, guide and coordinate the development of Biomedical Engineering at UOW, in one of the top Engineering faculties in Australia, ranked 6th in Australia and 83rd in the world (THE, World Rankings by Subject 2022). This position will be a discipline lead in the School of Mechanical, Materials, Mechatronic, and Biomedical (MMMB) Engineering, which offers a unique mix of study and research areas embracing sustainable manufacturing, green power, robotics, medical devices and much more. The Biomedical Engineering discipline has been established to focus on research and development of novel medical and diagnostic devices including prosthetics, orthotics, assistive and rehabilitation devices, artificial organs, tools, systems and technology to deliver substantial healthcare benefit and improve the quality of life for individuals. Research expertise based on any of the following sub-fields is preferred: - Bionics and neuroengineering - Brain-computer interfaces or brain-machine interfaces, - Rehabilitation engineering - Biosensing and instrumentation - Tissue/cell biomechanics/ mechanotransduction - Artificial organs and implants - Musculoskeletal modelling - Physiological modelling - Electroceuticals - Prosthetics and orthotics - Orthopaedic Engineering (especially in orthopaedic biomechanics) *See full details of the offer, position details and contact information here. <https://ejgl.fa.ap1.oraclecloud.com/hcmUI/CandidateExperience/en/sites/CX_1…>* https://ejgl.fa.ap1.oraclecloud.com/hcmUI/CandidateExperience/en/sites/CX_1…

1 0

HBP Summit Satellite Events Day
by HBP Education 02 Mar '23

02 Mar '23

HBP Summit Satellite Events Day 27 March 2023, 09:00 - 18:30 | Marseille, France Registration is now open and free of charge! The HBP Summit Satellites Events Day is taking place before the HBP Summit offering free trainings on EBRAINS tools and eServices, as well as opportunities to network with experts and peers in a beautiful setting of Palais du Pharo in Marseille. Registration for all participants is free of charge but mandatory. For further information and registration: https://summit2023.humanbrainproject.eu/satellite-events-day/ <https://summit2023.humanbrainproject.eu/satellite-events-day/>

1 0

PhD position in Neurotechnology at the Friedrich-Alexander-University (FAU) Erlangen-Nuremberg, Germany
by Reichenbach, Tobias 02 Mar '23

02 Mar '23

The Chair for Sensory Neuroengineering at the new Department Artificial Intelligence in Biomedical Engineering is looking for a PhD student to work on an innovative project in neurotechnology. You will develop novel methods to measure acoustic emissions from the inner ear (otoacooustic emissions) related to speech, and evaluate these emissions regarding cognitive factors such as selective attention. To this end, you will employ advanced methods of signal processing as well as machine learning. The developed methods can have applications in future diagnostics of hearing impairment as well as in neurofeedback for future hearing aids. AI at the interface to neurobiology is a highly timely topic of immense societal relevance. We offer you the possibility to actively shape this exciting and rapidly developing field. We support your work through: - A lively scientific environment within the Department and the possibility to cooperate with excellent partners at the Friedrich-Alexander-University Erlangen-Nürnberg, at Imperial College London as well as with industry partners - An excellent environment to conduct leading science and to realise own scientific ideas - An excellent training in the development of AI methods for neuronal data - Development of your personal strengths, for instance through extensive courses on personal development The renumeration is according to Group 13 of the German public service (TV-L). FAU is the most innovative university in Germany and ranks second among the most innovative European universities. It is located in one of the most attractive regions in Germany. Erlangen is a bicycle-friendly city with 100,000 inhabitants, former home of the Huguenots as well as a key location for industry. It is close to Nuremberg, a city with a population of half a million and a metropolitan flair. The mixture of academia, innovative companies, art and culture makes the region the perfect place for creative minds, keen athletes and nature lovers. To apply, please send a letter detailing your motivation, a CV, copies of your degrees and details of two referees. Please combine all documents into a single pdf and send them per email with subject “Application PhD student” to Prof. Dr. Tobias Reichenbach (tobias.j.reichenbach(at)fau.de<http://fau.de>). ------------------------------------------- Prof. Dr. Tobias Reichenbach Chair of Sensory Neurotechnology Department Artificial Intelligence in Biomedical Engineering (AIBE) Friedrich-Alexander-University (FAU) Erlangen-Nürnberg Werner-von-Siemens-Strasse 61 91052 Erlangen https://www.neurotech.tf.fau.eu/

1 0

PhD Position, Moreno Lab, Comp Neuro, Barcelona
by Ruben Moreno Bote 01 Mar '23

01 Mar '23

*PhD Position in* *Computational Neuroscience, Ruben Moreno-Bote Lab * *Center for Brain and Cognition, University Pompeu Fabra, Barcelona, Spain* 1 fully funded PhD position is available in the group of Theoretical and Cognitive Neuroscience of Ruben Moreno-Bote in the Center for Brain and Cognition at the University Pompeu Fabra, Barcelona, Spain. We are looking for excellent candidates with Physics, Mathematics or Machine Learning background interested in developing theory for the brain and mind and artificial intelligence. Knowledge of Computational Neuroscience or Neuroscience would be ideal, but it is not necessary. The candidate will develop state of the art theory and models of cognition and intelligence by using neural networks, reinforcement learning, machine learning, data analysis and multielectrode neural data. The main research topic of our lab is decision-making, from a multidisciplinary angle. The candidate will benefit from the stimulating environment of Barcelona area in Theoretical and Systems Neuroscience and will have the opportunity of enjoying a lively city. Our lab (https://www.upf.edu/web/tcn) forms part of a larger network of neuroscience labs in Barcelona. Financial support is provided by HHMI and the Spanish MINECO. APPLICATION: A full CV in pdf format and an extract of grades for degree and master studies should be sent to the following address: ruben.moreno(a)upf.edu DEADLINE: until the position is filled STARTING DATE: any time between September 2023 and January 2024 -- Rubén Moreno Bote Serra Húnter Professor and ICREA Academia Director of the Theoretical and Cognitive Neuroscience Group Center for Brain and Cognition & Dept. of Information and Communications Technologies University Pompeu Fabra Campus Ciutadella c\ Ramon Trias Fargas, 25-27 Mercè Rodoreda building, 3th floor (room 24.331) 08005 Barcelona, Spain https://www.upf.edu/web/tcn https://twitter.com/morenobote <https://twitter.com/morenobote?lang=ca>

1 0

PhD position in Natural Language Processing and Machine Learning at IT University of Copenhagen (deadline April 1st)
by Stefan Heinrich 28 Feb '23

28 Feb '23

Full-time PhD position at IT University of Copenhagen, under the umbrella of the Pioneer Centre for AI, Denmark, starting in Summer-Autumn 2023. Topic: Modelling compositional language structures across languages. The origin of language development of human beings can at least be traced back to two sources: the survival needs for communication and the unique wiring of human brains. The two factors can co-develop with each other through life-span. Nevertheless, languages from the whole world are with tremendous diversity. Yet, given the fact that all human brains share very similar structures and connection patterns, which presumably afford for similar ways to encode and decode information from the external world, there likely exist some hidden common structures, like some word orders or numbers of phonemes in a language, that are shared at least within, or even across, language families. An important constraint for these similar structures comes from the theory that the brain is processing language embodied in all our senses and via processing streams that are also involved in a range of other cognitive functions from specific motor control up to general problem-solving. This suggests that language comprehension and production, in fact, developed on top of existing information processing schemes, which in turn might have similarly shaped how the different language families have developed. A particular mechanism that was recently hypothesized to give rise to the structure of the brain’s sequence processing is temporal compositionality and chunking, which seemingly operate on language sequences as well. With this PhD project, we want to identify and describe the specific, latent temporal encoding structures that may constrain the temporal features of spoken language. In this project, the candidate will study structure patterns in spoken language and investigate how to build a model that can extract temporal characteristics of speech across different languages. Since the project is interdisciplinary, active collaboration within the Pioneer Centre for AI, as well as with experts in computational neuroscience and developmental psychology in Germany and Japan are planned. Application details: The ideal candidate should have a Masters in Computer Science, Computational Neuroscience, Computational Linguistics, Developmental Psychology, Cognitive Science or related fields, as well as a strong interest in interdisciplinary research, at the intersection of Natural Language Processing, Machine Learning, and Psycholinguistics. The salary scale will be in accordance with the Ministry of Finance’s agreement with the Danish Confederation of Professional Associations for a full-time position. As a PhD Student at the Pioneer Centre for AI you will have extraordinary access to computing resources, international researchers across disciplines, courses and events at the centre and meaning collaboration with industry, the public sector etc. ITU is a teaching and research-based tertiary institution concerned with information technology (IT) and the opportunities it offers. The University offers an informal working environment, a varied everyday life, and a highly motivated, competent, diverse, and international faculty. Copenhagen has a strong educational system, a rich cultural life, universal healthcare, good childcare, and a well-functioning infrastructure. The city is also among the world’s most liveable cities according to the Economist Global Liveability Index. Candidates will work together with Stefan Heinrich (stehe(a)itu.dk) and Barbara Plank (bapl(a)itu.dk) and are encouraged to get in contact for details. Link to further application information: https://www.aicentre.dk/phd-openings - and application link: https://candidate.hr-manager.net/ApplicationInit.aspx?cid=119&ProjectId=181… Application deadline: 01 April 2023, at 23:59 CET. -- *************************** Dr. Stefan Heinrich Assistant Professor Computer Science Department IT University of Copenhagen https://stefanheinrich.net/ ***************************

1 0