- Comp-neuro - lists.cnsorg.org

Late-breaking poster abstract submission for the 32nd Annual Computational Neuroscience Meeting (CNS*2023)

by Rubchinsky, Leonid L

We are inviting abstracts for the late-breaking poster-only presentations at the 32nd Annual Computational Neuroscience Meeting (CNS*2023) in Leipzig, Germany, July 15-19, 2023. Late-breaking poster presentation abstracts can be submitted between May 17 and June 15. Note that one of the authors must register as a sponsoring author for the main meeting before abstract submission. Submitted abstracts are used for creating the program and for publication. Please follow the formatting guidelines on the submission site. Registration: https://ocns.memberclicks.net/cns-2023-registration Abstract submission: https://www.cnsorg.org/cns-2023-abstract-submission CNS*2023 information: https://www.cnsorg.org/cns-2023 With kind regards, Leonid Rubchinsky OCNS Vice President *********************** Leonid Rubchinsky, PhD Professor Department of Mathematical Sciences, Indiana University Purdue University Indianapolis Stark Neurosciences Research Institute, Indiana University School of Medicine 402 N. Blackford St Indianapolis, IN 46202-3216 lrubchin(a)iupui.edu http://www.math.iupui.edu/~lrubchin ***********************

May 14, 2023

PhD or Postdoctoral Researcher in Bio-inspired, Model-Based Reinforcement Learning

by Grewe Benjamin Friedrich

PhD or Postdoctoral Researcher in Bio-inspired, Model-Based Reinforcement Learning Location: Institute of Neuroinformatics and ETH AI Center, ETH Zurich, Switzerland Start Date: As early as July 1, 2023 The Grewe lab (www.grewelab.org <http://www.grewelab.org/>) at the Institute of Neuroinformatics (www.ini.uzh.ch <http://www.ini.uzh.ch/en.html>) and the ETH AI Center (ai.ethz.ch) at ETH Zurich invites applications for a PhD or Postdoctoral position in the area of bio-inspired, model-based reinforcement learning. We are particularly interested in candidates who can contribute to our ongoing research endeavors to understand and model the complex and dynamic patterns of neuronal activity inspired by how the brain operates and solves tasks. Research Background: Our lab's research focuses on understanding how the brain alters its internal neuronal activity patterns that encode information across large neuronal ensembles to facilitate learning. We are particularly interested in the mechanisms underlying changes in network information processing related to learning a model of the external world. Given the inherent complexity, unreliability, and multidimensionality of neuronal activity patterns in the brain, this is a challenging endeavor. To better understand learning in the brain we employ in in vivo brain recording methods in mice (eg. mini-scopes) to characterise learning-induced changes in neuronal ensemble activity (RL in mice). Simultaneously, we develop biologically-inspired multi-layer (deep) artificial neuronal network models (ANNs) that mimic the information processing and storage capabilities observed in real biological networks (e.g. to solve an RL problem). We place significant emphasis on reverse-engineering neuronal network function at a very abstract level and on understanding the fundamental principles that determine learning-induced changes in neuronal networks (biological and artificial). Role Description: As a PhD or Postdoctoral fellow, you will be tasked with developing and implementing innovative bio-inspired, model-based reinforcement learning algorithms. Your role will involve close collaboration with a multidisciplinary team of neuroscience and machine learning researchers at the Institute of Neuroinformatics and the ETH AI Center respectively. Key Responsibilities: Design and implement bio-inspired, model-based reinforcement learning algorithms. Conduct/simulate RL experiments and analysis to test and refine these algorithms. Collaborate with a multidisciplinary team to advance our collective research goals. Present research findings at internal and external meetings and conferences. Contribute to the broader academic community through peer review and other service roles. Essential Qualifications: MSc or Ph.D. in Theoretical Neuroscience, Computer Science, Artificial Intelligence, or a closely related field (e.g. Physics). Some background in reinforcement learning, ideally model-based methods. Familiarity with bio-inspired neuronal network approaches to machine learning. Proven track record demonstrated by publications in reputable journals (PD only). Excellent written and verbal communication skills in English. Desirable Qualifications: Experience with computational or theoretical neuroscience and bio-inspired deep learning methods. Proficiency in programming languages commonly used in AI research (e.g., Python, R, Matlab). Experience with deep learning frameworks (e.g., TensorFlow, PyTorch). Salary: The salary for this position will be in accordance with the standard ETH PhD/postdoc salaries. https://ethz.ch/en/the-eth-zurich/working-teaching-and-research/welcome-cen… Application Process: Interested applicants should submit a detailed CV, a cover letter explaining their interest in the position and contact information for three references to bgrewe(a)ethz.ch ------------------------------------------------------ Benjamin F. Grewe Professor of Systems and Circuits Neuroinformatics Institute of Neuroinformatics UZH/ETH Zurich Dept. of Electrical Engineering and Information Technology, ETH Winterthurerstrasse 190 CH-8057 Zurich, Switzerland Email: Bgrewe(a)ethz.ch

May 12, 2023

Post-doctoral position

by Maison, Stephane F.,AUD, PhD

Research Fellow – Harvard Medical School - Mass Eye & Ear Infirmary – Boston, Massachusetts USA A NIH-funded postdoctoral position is immediately available in the Department of Otolaryngology - Head & Neck Surgery at the Massachusetts Eye & Ear - Harvard Medical School. Salary and benefits are consistent with NIH guidelines and institution policies based on applicant's experience. We are seeking highly motivated candidates who recently graduated with a PhD in hearing science, audiology, neuroscience, or biomedical engineering. The applicant should be motivated, independent, and productive. Experience with human testing and programming is preferred (e.g., Matlab, Python). The fellow will receive an appointment at Massachusetts Eye and Ear and Harvard Medical School. Our research interests focus on identifying biomarkers of cochlear synaptopathy in patients with a large range of sensorineural etiologies. Please reach out to Stephane Maison with CV, references, and cover letter to stephane_maison(a)meei.harvard.edu<mailto:stephane_maison@meei.harvard.edu>. Thank you. The information in this e-mail is intended only for the person to whom it is addressed. If you believe this e-mail was sent to you in error and the e-mail contains patient information, please contact the Mass General Brigham Compliance HelpLine at https://www.massgeneralbrigham.org/complianceline <https://www.massgeneralbrigham.org/complianceline> . Please note that this e-mail is not secure (encrypted). If you do not wish to continue communication over unencrypted e-mail, please notify the sender of this message immediately. Continuing to send or respond to e-mail after receiving this message means you understand and accept this risk and wish to continue to communicate over unencrypted e-mail.

May 11, 2023

Registration, abstracts, & investigator-led abstracts open for INCF Neuroinformatics Assembly 2023!

by INCF

***Please share with your networks*** Join us for Assembly, hosted once again on the Gather platform! We are currently looking for speakers for two investigator-led sessions, poster presenters, and of course Assembly registrants. Our annual Assembly is a unique venue where neuroscience researchers, tool developers, standards developers, and infrastructure providers can meet with potential collaborators and hear about the latest advancements in neuroinformatics and FAIR neuroscience. Submit an abstract (poster) <https://neuroinformatics.incf.org/abstract-submission> Submit an abstract (investigator-led session) <https://neuroinformatics.incf.org/ip-submission> Our program this year stretches from September 19 to September 21, and is centered around workshops proposed by our community. Sessions comprise presentations, investigator-led talks, round-table discussions, tutorials, and hands-on workshops. Register for Assembly <https://neuroinformatics.incf.org/register> See the program <https://neuroinformatics.incf.org/2023/program> Learn more <https://neuroinformatics.incf.org/> You don’t have to be an INCF member to participate, but this is a good occasion to become one - registration for Assembly is heavily discounted for members! Become a member <https://www.incf.org/join-incf/individuals> Important dates: May 11: Abstract submission opens May 11: Registration opens Jun 23: Deadline for abstract submission Sep 18-20: Neuroinformatics Assembly 2023

May 11, 2023

Computational Neuroscience School, July 11- July 25, IISER Pune, India

by suhita

Dear comp-neuro team, Will you please add this information to the newsletter? Thanks Suhita Nadkarni Associate Professor Division of Biology Indian Institute of Science Education and Research, Pune India Tel.: +91 20 2590 8113 suhita(a)iiserpune.ac.in http://www.iiserpune.ac.in/~suhita ————————————————————————— Computational Neuroscience School, July 11- July 25, IISER Pune, India APPLICATION DEADLINE EXTEDED TO MAY 20TH, 2023 Computational Approaches to Memory and Plasticity, or CAMP for short, is an intensive 15-day course, where students will be trained in theoretical and computational modeling of memory and plasticity in the brain, spanning different scales of space, time and complexity. This summer school has been running since 2014 at the National Centre for Biological Sciences (NCBS) Bengaluru. This year, IISER Pune will host CAMP@IISERPune. This year’s flavor of CAMP will be — Dynamical Systems in Neuroscience. The course will have lectures, hands-on tutorials, and project work to launch students into the exciting field of computational neuroscience. A total of 35 Indian and international students will be selected for this course. For further details about the school, schedule, and application, please visit this website https://camp.iiserpune.ac.in/

May 11, 2023

Call for 2 PhD positions within the MatCo project in the Brain Language Lab at Freie Universität Berlin

by Jäger, Anna-Thekla

The Brain Language Lab is currently seeking two exceptional candidates to join their team as PhD students for the ERC Advanced Grant "Material Constraints Enabling Human Cognition (MatCo)" Project at Freie Universität Berlin. To learn more about this exciting opportunity, please refer to the detailed job offer below. We kindly ask you to share this opportunity with anyone who may be interested and qualified. Assistant Researcher (m/f/d) (PhD student) Freie Universitaet Berlin - Philosophy and Humanities Brain Language Laboratory Third-Party funded project MatCo The ERC Advanced Grant “Material Constraints Enabling Human Cognition (MatCo)” at the Freie Universität Berlin aims to build network models of the human brain that mimic neurocognitive processes involved in language, communication and cognition. A main strategy is to use neural network models constrained by neuroanatomical and neurophysiological features of the human brain in order to explain aspects of human cognition. To this end, neural network simulations are performed and evaluated in neurophysiological and neurometabolic experiments. This neurocomputational and experimental research targets novel explanations of human language and cognition on the basis of neurobiological principles. More information about the project can be found here: www.fu-berlin.de/matco<http://www.fu-berlin.de/matco> Job description: • Simulation studies with neural network models of language and cognition • Preparation, implementation and evaluation of neurocognitive experiments onlanguage and cognition (ECoG, EEG, fMRI) • Tractography analyses and use of their results for optimizing neural models Requirements: • Completed university degree (MA, MSc or equivalent) in a relevant field (e. g., linguistics, psychology, cognitive neuroscience, medicine, informatics) Desirable: • Research experience with biologically constrained neural networks and with network simulations of cognitive processes • Experience in empirical experimental language research • Research experience in the fields of syntax, semantics or pragmatics • Very good programming skills • Good German skills • Very good English skills (minimum level C1) More information and formal job advertisements can be found at www.brainlang.fu-berlin.de/jobs; in case of further questions, please contact Prof. Dr. Friedemann Pulvermüller: friedemann.pulvermuller(a)fu-berlin.de. Applications should be sent by e-mail, together with significant documents, indicating the reference code, in PDF format (preferably as one document) no later than the 8th of June 2023 to Prof. Dr. Friedemann Pulvermüller: admin(a)brainlang.fu-berlin.de or postal to Freie Universität Berlin Department of Philosophy and Humanities Brain Language Laboratory Third-Party funded project MatCo Prof. Dr. Friedemann Pulvermüller Habelschwerdter Allee 45 14195 Berlin (Dahlem) With an electronic application, you acknowledge that FU Berlin saves and processes your data. FU Berlin cannot guarantee the security of your personal data if you send your application over an unencrypted connection. Freie Universität Berlin is an equal opportunity employer Best regards, Anna-Thekla Jäger on behalf of the Brain Language Lab

May 11, 2023

Call for 13 PhD positions in the Neuroscience PhD Program at Universita’ degli Studi di Padova – Padova Neuroscience Center

by Samir Suweis

The PhD program in Neuroscience at Universita’ degli Studi di Padova is a unique opportunity for young researchers to join a vibrant, active and interdisciplinary community of international faculty hosted at the Padova Neuroscience Center and to perform cutting-edge research in Neuroscience. The call offers 13 fully funded PhD positions with more than 50 research lines in diverse neuroscience fields, like Circuits & Systems, Cognitive, Affective, Behavioral, Computational, Neuroimaging, Translational and Clinical Neuroscience. Call opens on May 9, 2023, and will close on June 8, 2023, at 1:00 pm (CET). For more information, check the link https://pnc.unipd.it/admission/ <https://pnc.unipd.it/admission/> Best ***************** Samir Suweis www.liphlab.com Tel: +39 049 827 71 74

May 11, 2023

Research Engineering Fellow to support the research of the Cerebral Palsy Alliance Research Institute.

by Alistair McEwan

Dear all, we are seeking engineers or similar for a cerebral palsy focussed research in Sydney Australia. University of Sydney Career Site (myworkdayjobs.com)<https://usyd.wd3.myworkdayjobs.com/en-US/USYD_EXTERNAL_CAREER_SITE/job/Rese…> [https://usyd.wd3.myworkdayjobs.com/en-US/USYD_EXTERNAL_CAREER_SITE/assets/l…]<https://usyd.wd3.myworkdayjobs.com/en-US/USYD_EXTERNAL_CAREER_SITE/job/Rese…> Research Engineering Fellow<https://usyd.wd3.myworkdayjobs.com/en-US/USYD_EXTERNAL_CAREER_SITE/job/Rese…> usyd.wd3.myworkdayjobs.com The School of Biomedical Engineering<https://www.sydney.edu.au/engineering/schools/school-of-biomedical-engineer…> is seeking a talented Research Engineering Fellow to support the research of the Cerebral Palsy Alliance Research Institute. Our technology work spans the lifetime from early detection and intervention to assistive devices for mobility, communication and cognition. We work across healthcare including Westmead hospital based research in neonatal intensive care, neurodevelopmental clinics, gait laboratories, speech therapy and disability services throughout NSW, Australia and in support of international research projects in this area. We seek to train and engage engineers in the areas of child development and physical and occupational therapies using the emerging technologies of robotics, bionics, virtual reality and machine learning. In this role you will: * facilitate and contribute to the fabrication of functional prototypes and experimental devices with emphasis on reliability and the provision of care * design and fabricate test apparatus, jigs, and other devices in support of the research programs * design electrical circuits, software, user interfaces and machine learning systems as required for achievement of the experimental objectives of the laboratory * participate in the coordination of experimentation (preparation, setup, execution, and post-procedure follow-up) and design experimental protocols * assist in the training, supervision and mentoring of Honours students About you The University values courage and creativity; openness and engagement; inclusion and diversity; and respect and integrity. As such, we see the importance of recruiting talent aligned to these values and are looking for a Research Engineering Fellow who has: * a PhD or higher degree in a relevant area of engineering such as biomedical engineering, machine learning, artificial intelligence, computer science, statistics, data analytics, applied mathematics or applied physics * experience in human experimental design, familiarity with human ethics, motion and audio signal processing, predictive modelling, statistical methods, and thorough documentation * a demonstrated understanding of the disability sector and goal-directed human centered design thinking approach * experience in Computer Aided Design (CAD), ideally SolidWorks, and a basic working knowledge of electrical circuits, embedded software, user interfaces * an ability to resolve matters that may arise as part of research and the challenges relating to innovation of new ideas and concepts Experience working in the health domain with clinical data and a demonstrated track record of supporting high quality academic publications is highly desirable. This is an academic position, of which the commencement level will be determined based on the candidate’s skills, experience and knowledge. An appointment at Academic Level A, will hold the title of Postdoctoral Research Associate - Engineering. An appointment at Academic Level B, will hold the title of Research Fellow - Engineering. [https://usyd.wd3.myworkdayjobs.com/en-US/USYD_EXTERNAL_CAREER_SITE/assets/l…]<https://usyd.wd3.myworkdayjobs.com/en-US/USYD_EXTERNAL_CAREER_SITE/job/Rese…> Research Engineering Fellow<https://usyd.wd3.myworkdayjobs.com/en-US/USYD_EXTERNAL_CAREER_SITE/job/Rese…> usyd.wd3.myworkdayjobs.com  -- Alistair McEwan<https://sydney.edu.au/engineering/people/alistair.mcewan.php> | Cerebral Palsy Chair of Technology and Engineering Engineering and Computer Science, Biomedical Engineering<https://www.sydney.edu.au/engineering/schools/school-of-biomedical-engineer…>, Cerebral Palsy Alliance<https://cerebralpalsy.org.au/> Brain and Mind Centre<https://sydney.edu.au/brain-mind/>, Charles Perkins Centre<https://sydney.edu.au/charles-perkins-centre/>, Sydney Nano Institute<http://sydney.edu.au/nano/> J13 | The University of Sydney | NSW | 2000 +61 2 9351 7256 | +61 4489 29554 alistair.mcewan(a)sydney.edu.au<mailto:alistair.mcewan@sydney.edu.au> https://www.linkedin.com/in/alistair-mcewan-0044781/ Cardiovascular Initiative<https://sydney.edu.au/research/centres/cardiovascular-initiative.html> @USYD_cvi https://arctcibe.org/ @InnovativBioEng

May 11, 2023

Reminder: Endowed professorship "AI-based Modeling in Neurology"

by Philipp Berens

Dear all, this is a reminder that the deadline for the following position is approaching (19th of May). We are looking forward to your application! We are currently advertising an Endowed professorship "AI-based Modeling in Neurology" (https://www.academics.com/jobs/endowed-professor-w3-of-ai-based-modeling-in…) at the University of Tübingen. We are searching candidates that perform innovative research on artificial intelligence (AI) methods for modelling the healthy and diseased brain from a translational and clinical perspective. This can include the development and use of brain simulations to better understand healthy brain function and the effects of neurological diseases (e.g. epilepsy, Alzheimer's, Parkinson's) and integrating simulations and clinical neurodata (e.g. functional MRI imaging, EEG, electrophysiology) with the help of machine learning. Tübingen offers a first-rate environment at the intersection of neuroscience and AI/ML research with the Excellence Cluster for Machine Learning in Science, the Tübingen AI Center, the Max Planck Institutes for Intelligent Systems and Biological Cybernetics, the Hertie Institute for Clinical Brain Research and many other institutions! Best Philipp -- Professor of Data Science, Director Hertie Institute for AI in Brain Health Medical Faculty of the University of Tübingen www.berenslab.org

May 10, 2023

Neural Computation - May 1, 2023

by Terry Sejnowski

NEURAL COMPUTATION - Volume 35, Number 5 - May 1, 2023 Now available for online download: http://www.mitpressjournals.org/toc/neco/35/5 http://cognet.mit.edu/content/neural-computation ----- Review Modern Artificial Neural Networks - Is Evolution Cleverer? Andreas Bahmer, Daya Gupta, and Felix Effenberger Article Reward Maximisation Through Discrete Active Inference Lancelot Da Costa, Noor Sajid, Thomas Parr, Karl Friston, and Ryan Smith Letters Body Mechanics, Optimality, and Sensory Feedback in the Human Control of Complex Objects Reza Sharif Razavian, Mohsen Sadeghi, Salah Bazzi, Rashida Nayeem, and Dagmar Sternad Strong Allee Effect Synaptic Plasticity Rule in an Unsupervised Learning Environment Eddy Kwessi From Pavlov Conditioning to Hebb Learning Adriano Barra, Elena Agliari, Miriam Aquaro, Alberto Fachechi, and Chiara Marullo Echo Enhanced Embodied Visual Navigation Yinfeng Yu, Lele Cao, Fuchun Sun, Chao Yang, Huicheng Lai, and Wenbing Huang Classification From Positive and Biased Negative Data With Skewed Labeled Posterior Probability Hidetoshi Matsui, Shotaro Watanabe ----- ON-LINE -- http://www.mitpressjournals.org/neco MIT Press Journals, One Rogers Street, Cambridge, MA 02142-1209 Tel: (617) 253-2889 FAX: (617) 577-1545 journals-cs(a)mit.edu -----

May 9, 2023