- Comp-neuro - lists.cnsorg.org

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/>

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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/

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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>

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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/ ***************************

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Tenure-track position in computational neuroscience
by Asohan Amarasingham 28 Feb '23

28 Feb '23

Dear Colleagues, The Department of Psychology at the City College of New York (CCNY) of the City University of New York (CUNY) is currently soliciting applications for a tenure-track assistant professorship in computational neuroscience. Review of applications will begin on March 3, 2023. Please consider submitting an application. Best regards, Asohan Amarasingham FACULTY VACANCY ANNOUNCEMENT The Department of Psychology at the City College of New York (CCNY) invites applications for a full-time, tenure-track faculty position in computational neuroscience at the rank of Assistant Professor to begin in Fall 2023. The CCNY Psychology Department is a vibrant, diverse department located in Harlem, serving over 2000 undergraduate majors, with master's programs in General Psychology and Mental Health Counseling, a doctoral program in Clinical Psychology, and is affiliated with Ph.D. programs in Psychology and Neuroscience at the CUNY Graduate Center. The ideal candidate will use an innovative combination of computational, data-analytic, and/or modeling techniques to better understand how the brain gives rise to cognitive phenomena. All areas of relevance to cognitive neuroscience are of interest, including but not limited to: sensation, perception, emotion, memory, language, learning and reward, and consciousness. Successful applicants will be encouraged to participate in all programs the Department offers and to pursue interdisciplinary collaborations within and across the program, the department, and other departments at the College, including the Grove School of Engineering, the CUNY School of Medicine, and many related programs at the CUNY Graduate Center, including the CUNY Advanced Science Research Center, the Initiative for Theoretical Sciences, and allied doctoral and master's programs that span the sciences. They will be responsible for teaching, research, and mentorship/advisement duties. They also will share responsibility for committee and department assignments including administrative, supervisory, and other functions. QUALIFICATIONS A Ph.D. in psychology, neuroscience, applied mathematics, computer science, engineering, or a similarly allied field is required. The candidate is expected to maintain an active program of research, publish theoretical and empirical research in top-tier journals, be committed to both undergraduate and graduate education, and provide mentoring/advisement to students. Potential for obtaining external grant support is essential. Also required is the ability to teach successfully, demonstrated scholarship or achievement, and the ability to cooperate with others for the good of the institution. COMPENSATION CUNY offers faculty a competitive compensation and benefits package covering health insurance, pension and retirement benefits, paid parental leave, and savings programs. We also provide mentoring and support for research, scholarship, and publication as part of our commitment to ongoing faculty professional development. HOW TO APPLY Only applications submitted through CUNYfirst will be considered for this position. If you are viewing this job posting externally, please apply as follows: * Go to www.cuny.edu <http://www.cuny.edu/> and click on "Employment" * Click "Search job listings" * Click on "More options to search for CUNY jobs" * Search for Job Opening ID number 25407 Click on the "Apply Now" button and follow the instructions. Applications, including the following must be uploaded to the CUNYfirst job application website as a single PDF document: 1. Cover Letter 2. Curriculum Vitae 3. Statement of research interest and goals 4. Selected Publications 5. Three (3) confidential letters of recommendation sent to kwok(a)ccny.cuny.edu<mailto:hkwok@ccny.cuny.edu>

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NEST Conference 2023 – Save the date & registration
by Hans Ekkehard Plesser 27 Feb '23

27 Feb '23

Dear Colleagues, The NEST Initiative is excited to invite everyone interested in Neural Simulation Technology and the NEST Simulator to the NEST Conference 2023. The NEST Conference provides an opportunity for the NEST Community to meet, exchange success stories, swap advice, learn about current developments in and around NEST spiking network simulation and its application. We particularly encourage young scientists to participate in the conference! This year's conference will take place as a virtual event on 15-16 June 2023. Register now! For more information please visit the conference website https://nest-simulator.org/conference We are looking forward to seeing you all in June! Hans Ekkehard Plesser and colleagues -- Prof. Dr. Hans Ekkehard Plesser Head, Department of Data Science Faculty of Science and Technology Norwegian University of Life Sciences PO Box 5003, 1432 Aas, Norway Phone +47 6723 1560 Email hans.ekkehard.plesser(a)nmbu.no<mailto:hans.ekkehard.plesser@nmbu.no> Home http://arken.nmbu.no/~plesser

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Call for applications - MSc Neuroscience, Uni Freiburg (Germany)
by Carsten Mehring 27 Feb '23

27 Feb '23

MSc program in Neuroscience - University of Freiburg, Germany We are inviting applications for the interdisciplinary MSc program in Neuroscience at the University of Freiburg, Germany. The program provides theoretical and practical training in neuroscience, covering both the foundations and latest research in the field. It is taught by lecturers from an international scientific community from multiple faculties and neuroscience research centres. The modular course structure caters to the specific backgrounds and research interests of each individual student and we offer specialisations in neural circuits and behavior, computational neuroscience and neurotechnology. All courses are taught in English. We welcome applications with a background in natural sciences, mathematics, behavioural sciences, computer science, medicine or engineering sciences. The deadline for applications for the October 2023 entry is the 31st of March 2023. Further details can be found on our homepage http://www.mscneuro.uni-freiburg.de <http://www.mscneuro.uni-freiburg.de/> With kind regards Carsten Mehring — Bernstein Center Freiburg & Faculty of Biology University of Freiburg

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post-doc position on interacting neuronal assemblies at University of Genova
by Paolo Massobrio 27 Feb '23

27 Feb '23

We are seeking highly motivated candidates for a post-doctoral position (1 year) at the Neuroengineering and NeuroTechnology Lab, <http://www.unige.it/> University of Genova, Genova, ITALY. The candidate will be involved in the funded PNRR Italian Project Mnesys (https://mnesys.eu/) a large neuroscience and neuropharmacology consortium coordinated by University of Genova which involves 25 partners. Among the topics of the project, the one which will involve the candidate deals with both computational and experimental staffs. In particular, the candidate will work with experimental models of brain-on-a-chip where different neuronal populations (e.g., cortical-hippocampal; cortical-thalamic; cortical-cerebellar, .) interact originating complex neuronal dynamics. Depending on the candidate attitude, she/he will be involved in the development of large-scale computational models of such interconnected neuronal networks or the development of advanced algorithms to infer functional and dynamical properties originated by the interactions of these ensembles. Requirements: Candidates must have: 1) a PhD in bioengineering, computational neuroscience, physics, engineering, mathematics or a related field; 2) Excellent programming skills in Python, Matlab, C++/C#, 3) a published record of research in the field of computational neuroscience and/or neuroengineering; 4) experience in electrophysiological data analysis and/or modeling. Deadline for submitting the application is March 13th, 2023. The selected candidates will be contacted for a further interview during the following week. The earliest possible starting date is April 1st, 2023, and the position will last for 1 year (possible extension). Our research group has a long tradition in studying the interactions between neuronal populations coupling to Micro-Electrode Arrays (MEAs). See for example the following papers: 1. F. Callegari, M. Brofiga, P. Massobrio. Modeling the three-dimensional connectivity of in vitro cortical ensembles coupled to Micro-Electrode Arrays. PLoS Computational Biology, 2023. 2. M. Brofiga, M. Pisano, M. Tedesco, A. Boccaccio, P. Massobrio. Functional inhibitory connections modulate the electrophysiological activity patterns of cortical-hippocampal ensembles, Cerebral Cortex, 2022. 3. P. Massobrio, V. Pasquale, S. Martinoia. Self-organized criticality in cortical assemblies occurs in concurrent scale-free and small-world networks, Scientific Reports, 2015. 4. T. Kanagasabapathi, P. Massobrio, R. A. Barone, M. Tedesco, S. Martinoia, W. J. Wadman, M. M. J. Decre. Functional connectivity and dynamics of cortical-thalamic networks co-cultured in a dual compartment device. Journal of Neural Engineering, 2012. Our labs are located in Genova <https://www.visitgenoa.it/en/iat> , a beautiful town in northern Italy, both from historical (its historical center is the largest of Europe) and naturalistic point of view (sea and mountains coexist creating a unique landscape). Genova is only 1.30h away from Milan by train and connected by plane to Rome (1.00h), London (2h) and Paris (1.30h). Applications must include an extended CV, a motivation letter, the most relevant papers, and names and addresses of two references. If you are interested, please send your application to: Paolo Massobrio e-mail: paolo.massobrio(a)unige.it <mailto:paolo.massobrio@unige.it> Tel: +39-010-3352761 _________________________________ Paolo Massobrio, PhD Associate Professor of Bioengineering Neuroengineering and Neurotechnology Lab Department of Informatics, Bioengineering, Robotics and Systems Engineering (DIBRIS) University of Genova Via Opera Pia 13, 16145, Genova, ITALY Phone: +39 010 3352761 URL: <http://www.dibris.unige.it/> www.dibris.unige.it E-mail: <mailto:paolo.massobrio@unige.it> paolo.massobrio(a)unige.it

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Research Assoc Opening
by Yuvaraj Rajamanickam 27 Feb '23

27 Feb '23

Hi Everyone, I hope you are all doing well! I am looking for a research associate for my project titled "Automated Boredom Detection using Multimodal Physiological Signals." If you could share the information with potential candidates, I would appreciate it. For more information, please refer to the job advertisement link. https://ntu.wd3.myworkdayjobs.com/Careers/job/NTU-Main-Campus-Singapore/Res… Regards YUVARAJ

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LiSNN Seminar: Felix Effenberger - A biology-inspired recurrent oscillator network for computations in high-dimensional state space
by Tristan Manfred Stöber 24 Feb '23

24 Feb '23

Dear friends and colleagues, as part of the Learning in Spiking Neural Networks Seminar Series are we cordially inviting you to the following presentation. Speaker: Felix Effenberger - Ernst Strüngmann Institute, Frankfurt am Main, Germany Title: A biology-inspired recurrent oscillator network for computations in high-dimensional state space Abstract: Biological neuronal networks have the propensity to oscillate. However, it is unclear whether these oscillations are a mere byproduct of neuronal interactions or serve computational purposes. Therefore, we implemented hallmark features of the cerebral cortex in recurrent neuronal networks (RNNs) simulated in silico and examined their performance on common pattern recognition tasks after training with a gradient-based learning rule. We find that by configuring network nodes as damped harmonic oscillators (DHOs), performance is substantially improved over non-oscillating architectures and that the introduction of heterogeneous nodes, conduction delays, and network modularity further improved performance. We furthermore provide a proof of concept of how unsupervised Hebbian learning can work in such networks. Analyses of network activity illustrate how the nonlinear dynamics of coupled DHOs drive performance, and provide plausible a posteriori explanations for a number of physiological phenomena whose function so far has been elusive. Also check out the corresponding preprint [1]. Time: 3rd of March 2023 at 14:00 Central European Time. Venue: Hybrid meeting, both on Zoom [2] and in person at the Frankfurt Institute for Advanced Studies, Ruth-Moufang-Straße 1, 60438 Frankfurt am Main, Lecture Hall 100. Best wishes in the name of the GRADE Initiative Learning in Spiking Neural Networks, Tristan Stöber Ps: Videos of previous events can be found on our youtube channel [3] [1] https://www.biorxiv.org/content/10.1101/2022.11.29.518360v1.abstract [2] https://ruhr-uni-bochum.zoom.us/my/tristanstoeber?pwd=YnZ2RlZVTUZPU2ZhNlFyR… [3] https://www.youtube.com/@lisnn.channel5458

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