July 2022 - Comp-neuro - lists.cnsorg.org

Call for submissions to the ICDL 2022 workshop on neurodiversity of cognitive feelings

by nagai.yukie＠mail.u-tokyo.ac.jp

Dear colleagues, We are going to organize the following workshop at IEEE International Conference on Development and Learning (ICDL 2022), which will be held in London, UK on September 12-15. We invite submissions of extended abstracts (1-2 pages) of ongoing research that focuses on one or several of our listed topics below. Accepted submission will be considered for symposium talks or as part of a poster session. Workshop on Neurodiversity of Cognitive Feelings https://sites.google.com/view/icdl-cognitive-feeling ICDL 2022 https://icdl2022.qmul.ac.uk [ Theme of the workshop ] From the general conception of our own subjective experiences, and from behavioural and neuroimaging research we know that affective emotional states can influence our cognitive functions. While the existence of this relationship is generally accepted, understanding the neural mechanisms that lead to individual diversity remains an open question that requires continued development of understanding and assessment of individual cognitive abilities. One of the suggested pathways includes the perception of emotional sensations that are experienced towards multisensory perception systems with a cognitive feeling. Cognitive feeling can be described as a sense of confidence, knowing, familiarity, distinguishing reality and fluency of information from multisensory perceptual experiences (Clore and Parrott, 1994; Arango-Muñoz 2014). Where emotional sensations, or affective feelings, are the result of perceived multisensory integration such as liking, disliking, or fear, arousal. Each kind of feeling is then providing information about different system. The affective feeling provides information on whether what is perceived is positive or negative with regards to our expectations. The cognitive feeling is the informational source of our expectations, knowing and understanding the multisensory information. The principles of cognitive feeling can be applied in developmental and cognitive robotics (Asada et al. 2009; Tani 2016), predictive coding theories (Friston & Kiebel 2009; Friston 2010), computational psychiatry (Montague et al. 2012), and behavioural studies through the verification of virtual reality-based approaches. [ Welcomed topics ] Affective Neuroscience Affective Computation Interoception Self-awareness and self-recognition Rubber hand illusion and bodily illusion Sense of agency Sense of presence Psychiatric disorder and developmental disorder Consciousness Brain-body interactions Metacognitive feeling [ Keynote speakers ] • Professor Sarah Garfinkel, Institute of Cognitive Neuroscience, University College London, UK • Dr Sophie Betka, The École polytechnique fédérale de Lausanne (EPFL), Switzerland • Professor Tony Prescott, Department of Computer Science, The University of Sheffield, UK [ Submission ] Extended abstract submission guidelines can be found on the workshop website (https://sites.google.com/view/icdl-cognitive-feeling) which should be sent to Sean D. Lynch (lynch.sean(a)mail.u-tokyo.ac.jp) by August 13, 2022. Please write in the subject line “ICDL 2022 neurodiversity workshop submission”. [ Important dates ] Submission deadline: August 13, 2022 Notification of acceptance: August 27, 2022 Workshop: September 12, 2022 [ Organizers ] Sean Lynch (The University of Tokyo) Keisuke Suzuki (Hokkaido University) Yukie Nagai (The University of Tokyo) — Yukie Nagai, Ph.D. Project Professor, The University of Tokyo nagai.yukie(a)mail.u-tokyo.ac.jp | https://developmental-robotics.jp CREST Cognitive Mirroring: https://cognitive-mirroring.org CREST Cognitive Feeling: https://cognitive-feeling.jp

July 14, 2022

Scientist - Neural Data Analysis at the Allen Institute

by Anton Arkhipov

Dear colleagues, A new exciting opportunity is open at the Allen Institute (Seattle, WA): https://alleninstitute.hrmdirect.com/employment/job-opening.php?req=1937290 Scientist - Neural Data Analysis – Systems Neuroscience We are seeking a Scientist to be an essential team member in our ongoing efforts to link transcriptomically defined cell types with the types of functional neural activity in vivo. We are generating systematic datasets of neural activity using 2-photon calcium imaging in the mouse cortex, followed up by spatial transcriptomics, in order to better understand cell-type-specific contributions to neural coding and circuit dynamics. The core responsibility for this position will be the computational analysis of these datasets, including co-registration between the calcium imaging and spatial transcriptomics data, linking these modalities for individual cells. The ideal candidate will have experience with analysis of imaging data, sensory physiology, machine learning, computer vision, and/or spatial transcriptomics. This position sits at the interface of neuroscience and data science, and good coding and analytical skills are a high priority. The Allen Institute believes that team science significantly benefits from the participation of diverse voices, experiences, and backgrounds. High-quality science can only be produced when it includes different perspectives. We are committed to increasing diversity across every team and encourage people from all backgrounds to apply for this role. Please see details and apply here: https://alleninstitute.hrmdirect.com/employment/job-opening.php?req=1937290 Best regards, Anton. Anton Arkhipov Associate Investigator T: 206.548.8414 E: antona(a)alleninstitute.org<mailto:antona@alleninstitute.org> [Text Description automatically generated] alleninstitute.org<https://alleninstitute.org> brain-map.org

July 11, 2022

TEX2022: Detailed program and registration for online attendance

by Yamil Vidal

Dear all, We are pleased to share the detailed program for "TEX2022: Bringing together Predictive Processes and Statistical Learning": https://indico.sissa.it/event/59/timetable/#20220719.detailed <https://t.co/tgo3hNEOFF> Registration deadline is this Sunday, 10/7. Come join us! And if you cannot join us in person, you can still join us online (and free of charge). To attend online, please register here: https://sissa-it.zoom.us/webinar/register/WN_0qgRUCodT02MLGmmiQ4tiA Looking forward to meet you all, Yamil Vidal and Davide Crepaldi Dr. Yamil Vidal Predictive Brain Lab Centre for Cognitive Neuroimaging - Donders Institute Nijmegen the Netherlands

July 8, 2022

UCL NeuroAI Annual Meeting on Monday, July 11, 1-5 pm BST

by Harsha Gurnani

The third *UCL NeuroAI Annual Meeting* will be held in *hybrid forma*t on *Monday, July 11, 2022*. The annual half-day UCL NeuroAI <https://www.ucl.ac.uk/research/domains/neuroscience/ucl-neuroai>event features speakers working across the spectrum of machine learning to neuroscience and aims to foster further collaboration and discussion. Join us from *1-5 pm BST* for an exciting set of talks and discussion on goals and prospects for NeuroAI. *Registration is free but needed for access to final details: * https://www.eventbrite.com/e/ucl-neuroai-annual-meeting-tickets-341731838127 -------------------------------- *Event programme:* 1.00pm – Welcome *1.05pm – 2.35pm – Session one* *Kim Stachenfeld (DeepMind) *"Predictions and Relations for Biological and Artificial Reasoning" *Peter Latham (UCL)* Title: TBC *Blake Richards (McGill University)* "Contrastive introspection to rapidly identify contingencies in the environment" *2.35pm - 2.55pm – Comfort break* *2.55pm – 3.55pm – Session two* *Raia Hadsell (DeepMind)* "Embodied AGI and The Future of Robotics" *Panel discussion* *3.55pm - 4.00pm *– Closing remarks -------------------------------- For in-person attendees, the location is Jeremy Bentham Room, Wilkins Building, UCL. Please find links to map and accessibility information on the Eventbrite page <https://www.eventbrite.com/e/ucl-neuroai-annual-meeting-tickets-341731838127> . We look forward to seeing you - in person or online! *Co-organizers:* Caswell Barry, Will De Cothi, Asaph Zylbertal, Padraig Gleeson, Harsha Gurnani (University College London), Sebastian Lee (Sainsbury Wellcome Centre and Imperial College London)

July 5, 2022

[CFP, Deadline Approaching] MDPI Molecules (IF: 4.927) - Special Issue "Practical Aspects of Molecular Communications"

by Murat Kuşcu

(Apologies if you receive multiple copies of this CFP) MDPI Molecules (IF: 4.927, ISSN: 1420-3049) Special Issue on Practical Aspects of Molecular Communications https://www.mdpi.com/journal/molecules/special_issues/molecular_communicati… --------------------------- CALL FOR PAPERS The Internet of Bio-Nano Things (IoBNT) is an emerging technology that aims to extend our connectivity to nanoscale and biological environments with collaborative nanonetworks of artificial nanomachines and biological entities integrated into the Internet infrastructure. To enable the IoBNT and its groundbreaking applications, such as continuous intrabody health monitoring, it is imperative to devise low-complexity nanoscale communication techniques suitable for the envisioned nanomachines of simple architectures. The most promising communication technology for realizing the IoBNT is Molecular Communications (MC), as it ubiquitously manifests itself in many complex biological systems in the Universe, and thus, stands as one of the most common communication modalities, optimized from many aspects as a result of billions of years of evolutionary advancement. Making use of this naturally existing technology requires understanding its foundations through our existing modeling and analysis tools. This quest, which started almost 15 years ago, has received increasing attention from ICT researchers, which have been overly inspired by conventional electromagnetic communication technologies in their approach to this radically different paradigm. These theoretical approaches, however, have not always come with sufficient physical relevance. Currently, this emerging field has come to a critical turning point, as many researchers have started to report on initial MC experiments following different approaches and using different materials, while consistently pointing out a discrepancy between the obtained experimental results and the past theoretical work. This reveals the need to rethink the previous efforts and come up with new interdisciplinary strategies, thus building practical MC techniques and developing feasible MC system components, experimental testbeds, and prototypes in order to close the gap between theory and practice, and expedite the transfer of this emerging technology to the market. Among the challenges stated above, this Special Issue is particularly focused on the practical aspects of MC. Therefore, we are calling for technical papers that report on new research with the potential to move this field forward towards its practical applications, as well as surveys/tutorials focusing on the practical challenges of MC research. Hence, its scope encompasses a wide range of interdisciplinary research topics, with some examples listed as follows: ** The physical design, modeling, and implementation of MC system components (e.g., transmitter, receiver, channel); ** The design and implementation of MC testbeds; ** Practical and low-complexity MC methods (e.g., modulation, detection, channel estimation, synchronization, coding methods); ** The testing and validation of MC transceiver/channel models and MC methods; ** Applications of microfluidics, biosensors, and nanomaterials for MC system design; ** Bio-cyber interfaces between MC networks and conventional macroscale networks; ** Synthetic biology-based MC transceiver architectures; ** Optimization of ligand-receptor interactions for MC; ** Biocompatibility and co-existence challenges; ** Energy harvesting and power transfer techniques for MC networks; ** The design and demonstration of MC applications (e.g., those in healthcare, agriculture, biocomputing). --------------------------- Deadline for manuscript submissions: *31** July 2022* --------------------------- Guest Editors Murat Kuscu, Koc University, Turkey (mkuscu(a)ku.edu.tr) Sasitharan Balasubramaniam, University of Nebraska-Lincoln, USA ( sasi(a)unl.edu) Kerstin Lenk, Graz University of Technology, Austria (kerstin.lenk(a)tugraz.at ) Ergin Dinc, University of Cambridge, UK (ed502(a)cam.ac.uk) Michael Barros, University of Essex, UK (m.barros(a)essex.ac.uk) Bige D. Unluturk, Michigan State University, USA (unluturk(a)msu.edu) --------------------------- Paper submission Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Manuscripts can be submitted until the deadline. All papers will be peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website. Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Molecules is an international peer-reviewed open access semimonthly journal published by MDPI. Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2300 CHF (Swiss Francs). --------------------------- Additional information: Please visit the MDPI Molecules Special Issue webpage at: https://www.mdpi.com/journal/molecules/special_issues/molecular_communicati… Inquiries can be addressed to Mr. Gavin Fu at: gavin.fu(a)mdpi.com <gavin.fu(a)mdpi.com>, molecules(a)mdpi.com

July 4, 2022

SMILES workshop call for abstracts

by Xavier Hinaut

The SMILES (Sensorimotor Interaction, Language and Embodiment of Symbols) Workshop will take place both on site and virtually at the ICDL 2022 (International Conference on Developmental Learning). * Call for abstracts : - Deadline: July 18th - Abstracts call: from 1/2 page to 2 pages (onsite and virtual participation are possible) - Abstract format: same as ICDL conference https://www.ieee.org/conferences/publishing/templates.html - Submissions: smiles.conf(a)gmail.com + indicate if you will be onsite or online - Workshop dates: September 12, 2022 - Venue onsite: Queen Mary University of London, UK. - Venue online: via Zoom and Discord group. Accepted abstract will be asked to make a short video or poster for the workshop. * Workshop Short Description On the one hand, models of sensorimotor interaction are embodied in the environment and in the interaction with other agents. On the other hand, recent Deep Learning development of Natural Language Processing (NLP) models allow to capture increasing language complexity (e.g. compositional representations, word embedding, long term dependencies). However, those NLP models are disembodied in the sense that they are learned from static datasets of text or speech. How can we bridge the gap from low-level sensorimotor interaction to high-level compositional symbolic communication? The SMILES workshop will address this issue through an interdisciplinary approach involving researchers from (but not limited to): - Sensori-motor learning, - Symbol grounding and symbol emergence, - Emergent communication in multi-agent systems, - Chunking of perceptuo-motor gestures (gestures in a general sense: motor, vocal, ...), - Compositional representations for communication and action sequence, - Hierarchical representations of temporal information, - Language processing and language acquisition in brains and machines, - Models of animal communication, - Understanding composition and temporal processing in neural network models, and - Enaction, active perception, perception-action loop. * More info - contact: smiles.conf(a)gmail.com - organizers: Xavier Hinaut, Clément Moulin-Frier, Silvia Pagliarini, Joni Zhong, Michael Spranger, Tadahiro Taniguchi, Anne Warlaumont. - invited speakers (coming soon) - workshop website (updated regularly): https://sites.google.com/view/smiles-workshop/ - ICDL conference website: https://icdl2022.qmul.ac.uk/ Xavier Hinaut Inria Research Scientist www.xavierhinaut.com <http://www.xavierhinaut.com/> -- +33 5 33 51 48 01 Mnemosyne team, Inria, Bordeaux, France -- https://team.inria.fr/mnemosyne <https://team.inria.fr/mnemosyne> & LaBRI, Bordeaux University -- https://www4.labri.fr/en/formal-methods-and-models <https://www4.labri.fr/en/formal-methods-and-models> & IMN (Neurodegeneratives Diseases Institute) -- http://www.imn-bordeaux.org/en <http://www.imn-bordeaux.org/en> --- Our new release of Reservoir Computing library: https://github.com/reservoirpy/reservoirpy <https://github.com/reservoirpy/reservoirpy>

July 3, 2022

2022 SPARC FAIR Codeathon (prize pool of US$50,000)

by Elisabetta Iavarone

Dear colleagues, we are looking for exciting projects which use SPARC data <https://sparc.science/data?type=dataset> and/or SPARC tools and resources <https://sparc.science/data?type=sparcPartners&developedBySparc=true&skip=0> for the peripheral nervous system in novel ways, particularly in enhancing, demonstrating, or measuring the findability, accessibility, interoperability, or reusability (FAIR) of the data. *Total prize pool of US$50,000* -- including cash prizes and manuscript publication fees. Project selection has begun, but it’s not too late to suggest a novel topic for consideration. The Codeathon will take place virtually, on 6-8 August. You can find more information on the SPARC codeathon page <https://sparc.science/help/2022-sparc-fair-codeathon>. Codeathon projects should result in code, tools, datasets, or other outputs which are open and freely available. Some coding experience is beneficial, but not necessary, as part of the project involves writing exhaustive documentation of your code and the aim of your project. Examples of projects from earlier codeathons are available on GitHub <https://github.com/SPARC-FAIR-Codeathon>, and here <https://docs.google.com/document/d/1OG3I0Oy1HivQNKOipNOZazFYCFVsSSn4Qe_EpSc…> you can find more ideas, such as: - Quantitative Analysis of Image Data - Visualizing experimental protocols - Create a short course on data science using Jupyter Notebook and the SPARC Portal <https://sparc.science/> - Embed o²S²PARC <https://docs.osparc.io/#/> modelling and simulation functionality within the SPARC Portal <https://sparc.science/> Participation in the codeathon is free and you only need access to your own computer and reliable internet connection to work with your team. We are looking forward to receiving your proposals. Best, Elisabetta (on behalf of the organizing committee)

July 1, 2022

Fully-funded PhD and PostDoc position (4 years) in Machine / Deep Learning in Translational Psychiatry, Charité - Universitätsmedizin Berlin, Germany

by Kerstin Ritter

Dear all, we offer one PostDoc position (4 years, 100%) and one PhD position (4 years, 75%) at Charité - Universitätsmedizin (Berlin, Germany) in Machine / Deep Learning in Translational Psychiatry in a newly established Research Unit 5187 "Precision Psychotherapy" (headed by Prof. Ulrike Lüken). Please see the job advertisements below. Please forward to potential candidates. Thanks, and best wishes, Kerstin (Ritter) ______________________________________________________________ Explainable Machine Learning / Deep Learning in Clinical Neuroimaging and Translational Psychiatry 1) PostDoc position (starting date: autumn 2022, 4 years; 100 %) at Charité - Universitätsmedizin (Berlin, Germany) At Charité - Universitätsmedizin Berlin and the Bernstein Center for Computational Neuroscience, we are looking for a motivated and highly qualified PostDoc for methods development at the intersection of explainable machine learning / deep learning and clinical neuroimaging / translational psychiatry. The position will be located in the research groups of Prof. Kerstin Ritter and Prof. John-Dylan Haynes at Charité Berlin. The main task will be to predict response to cognitive-behavioral psychotherapy in retrospective data and a prospective cohort of patients with internalizing disorders including depression and anxiety from a complex, multimodal data set comprising tabular data as well as imaging data (e.g., clinical data, smartphone data, EEG, structural and functional MRI data). An additional task will be to contribute to the organization and maintenance of the prospective cohort. This study will be one of several projects in the newly established Research Unit 5187 "Precision Psychotherapy" (headed by Prof. Ulrike Lüken). Requirements for the Postdoc: - Excellent master and PhD degree in relevant field (e.g. computer science, mathematics, physics, psychology, computational neuroscience or related). - Excellent methodological skills (esp. machine learning, deep learning, explainable AI, medical image analysis) - Excellent programming skills in python - Excellent writing and communication skills (in English) - Strong interest in neuroscientific and psychiatric research 2) PhD position (starting date: autumn 2022, 4 years; 75 %) at Charité - Universitätsmedizin (Berlin, Germany) At Charité - Universitätsmedizin Berlin and the Bernstein Center for Computational Neuroscience, we are looking for a motivated and highly qualified PhD student for analyzing structural and functional MRI data in patients with internalizing disorders (e.g., depression and anxiety) using machine learning methods. An additional task will be the acquisition of fMRI data together with other PhD students in the newly established Research Unit 5187 "Precision Psychotherapy" (headed by Prof. Ulrike Lüken). The PhD student will be supervised by Prof. Kerstin Ritter, Prof. Ulrike Lüken and Prof. Norbert Kathmann. Requirements for the PhD student: - Excellent master in relevant field (e.g. computer science, mathematics, physics, psychology, computational neuroscience or related). - Very good methodological skills (esp. machine learning, deep learning, statistics, neuroimaging) - Very good programming skills in python - Excellent writing and communication skills (in English and German) - Strong interest in neuroscientific and psychiatric research Please send your application (motivation+CV+references) in one pdf-file (in English or German) asap to: Prof. Dr. rer. nat. Kerstin Ritter Charité - Universitätsmedizin Berlin Department of Psychiatry and Psychotherapy Bernstein Center for Computational Neuroscience Sauerbruchweg 4, Charitéplatz 1, 10117 Berlin E-Mail: kerstin.ritter(a)charite.de Webpage: https://psychiatrie-psychotherapie.charite.de/en/research/translation_and_n…

July 1, 2022