February 2024 - Comp-neuro - lists.cnsorg.org

Late-breaking poster abstract submission for the 32nd Annual Computational Neuroscience Meeting ends on June 15
by Rubchinsky, Leonid L March 10, 2025

March 10, 2025

Dear Colleagues, We would like to remind that the late-breaking poster abstracts submission at CNS*2023 ends on June 15. CNS*2023, 32nd Annual Computational Neuroscience Meeting, will be in Leipzig, Germany, on July 15-19, 2023. The information about the meeting and abstract submission can be found here: 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 ***********************

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Postdoctoral Researcher position at Goettingen Campus Institute for Dynamics of Biological Networks, University of Goettingen
by von Behren, Christina Dec. 16, 2024

Dec. 16, 2024

Dear Scientists, The Göttingen Campus Institute for Dynamics of Biological Networks (CIDBN)<https://www.uni-goettingen.de/de/608362.html> invites applications for a position of Postdoctoral Researcher in Computational Biophysics (all genders welcome) The position will be full-time (currently 39,8 hours/week), German pay grade 13 TV-L, starting as soon as possible. The CIDBN Department "Physics of Biological Systems", headed by Prof. Fred Wolf, offers a fixed-term contract until June 30, 2025 with the perspective of an extension commensurate with building a competitive track record at the frontier of computational biophysics and neural circuit theory. Information is processed in brain circuits through the coordinated action of large-scale circuits of neurons and synapses. Ultimately, it is the nano-scale molecular architecture of neuronal synapses that can make or break the power of neural circuit computation. Progress in a broad suite of nanoscopy techniques is currently uncovering the molecular-level design of synapses subserving functions such as working memory or sensory coding. The spatio-temporal operation of these nano-machines and the efficiency of their design, however, remain to be understood and are core research aims of the Göttingen Collaborative Research Centre (CRC) 1286 "Quantitative Synaptology"<https://www.sfb1286.de/?lang=en>. We are inviting applications from theoretical biophysicists, molecular systems biologists, or computational scientists with an ambition to pioneer computational studies of synaptic functional design. We offer a stimulating environment of theoretical neuroscientists, neural data-scientists, and cutting-edge experimentalists associated with CRC 1286. In addition, the institute provides dedicated support for high-performance computing. We are dedicated to supporting the growth of original research personalities at the frontier of computational science and neural circuit theory. The successful applicant will hold an excellent PhD in physics, applied mathematics, computer science, or equivalent, and have a strong interest in high-performance computing in neuroscience or cellular systems biology. We expect excellent analytical and coding skills, interest in working in a transdisciplinary team as well as excellence in scientific writing and reasoning. Experience in non-equilibrium statistical physics, stochastic dynamics, membrane biophysics, ion-channel and biochemical kinetics, buffered Ca-diffusion, and Ca-exocytosis coupling would be advantageous. The Göttingen Campus is a leading center of neuroscience in Europe hosting numerous internationally renowned research institutions, including the University, the University Medical Center, two life science Max Planck Institutes, the European Neuroscience Institute, the German Primate Center, and the Bernstein Center for Computational Neuroscience Göttingen. The CIDBN is a newly founded transdisciplinary institute whose mission is to foster frontier research at the border of the exact and biological sciences. The University of Göttingen is an equal opportunities employer and places particular emphasis on fostering career opportunities for women. Qualified women are therefore strongly encouraged to apply. The university has committed itself to being a family-friendly institution and supports their employees in balancing work and family life. The mission of the University is to employ a greater number of severely disabled persons. Applications from severely disabled persons with equivalent qualifications will be given preference. Please send your e-mail application in one single PDF-document, including a letter of motivation, your curriculum vitae with a list of publications, copies of your certificates and contact information of two references to cidbn(a)uni-goettingen.de<mailto:cidbn@uni-goettingen.de> (subject: Postdoc CIDBN). The position remains open until filled. Georg-August-Universität Göttingen Göttingen Campus Institute for Dynamics of Biological Networks Heinrich-Düker-Weg 12, 37073 Göttingen. If you have any questions, please contact Prof. Fred Wolf via e-mail: fred.wolf(a)ds.mpg.de<mailto:fred.wolf@ds.mpg.de>. Please note: With submission of your application, you accept the processing of your applicant data in terms of data-protection law. Further information on the legal basis and data usage is provided in the Hinweisblatt zur Datenschutzgrundverordnung (DSGVO) https://www.uni-goettingen.de/hinweisdsgvo <https://www.uni-goettingen.de/hinweisdsgvo%20> Best regards, Christina von Behren ------ Goettingen Campus Institute for Dynamics of Biological Networks Bernstein Center for Computational Neuroscience Goettingen University of Goettingen Heinrich-Dueker-Weg 12 37073 Goettingen Germany Tel.: +49-(0)551-39-26674

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Python Package: SER model
by Fabrizio Damicelli Aug. 8, 2024

Aug. 8, 2024

Dear Computational Neuroscience Community, I would like to point you to a potentially useful Python Package that might be of interest for your research, especially in the realm dynamical models and spreading dynamics on networks. "ser": S(usceptible)E(xcited)R(efractory) model on graphs, a dynamical model of spreading excitations. Code Repository: https://github.com/fabridamicelli/ser As of today, a few people already trust it and the package registers >11K total downloads, ~500/month (pypi.org) and has been used already in a few research projects. A few interesting features: - It is light-weight and fast (`numba` accelerated), i.e. many experiments can be simply run on a laptop - Installation and getting started is easy: `pip install ser` - Example notebooks: https://github.com/fabridamicelli/ser/blob/main/examples The SER model is a classical cellular automaton model used to study all sorts of complex systems, ranging from forest fire dynamics to self-organized criticality in the brain. Despite of the simplicity of its setup, it is capable of generating complex emergent dynamics with absolutely non-trivial higher-order statistical properties. To learn more about the SER model and its applications, you might want to check out these references: - Messe et al. (2018). Toward a theory of coactivation patterns in excitable neural networks. doi.org/10.1371/journal.pcbi.1006084 - Haimovici et al. (2013). Brain Organization into Resting State Networks Emerges at Criticality on a Model of the Human Connectome. doi.org/10.1103/PhysRevLett.110.178101 - Damicelli et al. (2019). Topological reinforcement as a principle of modularity emergence in brain networks. doi.org/10.1162/netn_a_00085 Check it out and any feedback/suggestions/bug reports are more than welcome (simply open an issue: https://github.com/fabridamicelli/ser/issues) All the best, Fabrizio Damicelli

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Fully-funded PhD in machine-learning for analysing subject's decisions (Nottingham, UK)
by Mark Humphries April 22, 2024

April 22, 2024

A fully-funded PhD is available with Dr Silvia Maggi and Professor Mark Humphries (University of Nottingham) and Dr Hazem Toutonji (University of Sheffield). Decision-making happens in dynamic environments. Understanding how subjects respond to such a fast-changing world requires approaches that can track subject's choice strategies at the resolution of single trials. We recently developed a Bayesian inference algorithm (Maggi et al., 2023, bioRxiv) that enables trial-resolution tracking of learning and exploration during learning. This project will build on this work to solve crucial problems of determining which of a set of behavioural strategies a subject is using and how to incorporate evidence uncertainty into its detection of the learning of strategies and transitions between them. Using the extended algorithm on datasets of rodents and humans performing decision tasks will let us test a range of hypotheses for how correct decisions are learnt and what innate strategies are used. Application deadline: November 30th 2023 PhD start date: February 1st 2024 Please send all queries to Silvia (silvia.maggi(a)nottingham.ac.uk) or Mark (mark.humphries(a)nottingham.ac.uk) Full details and how to apply here: https://www.findaphd.com/phds/project/cognitive-flexibility-in-dynamic-deci… Professor Mark Humphries | Professor of Computational Neuroscience Lab: humphries-lab.org<https://www.humphries-lab.org/> Twitter: @markdhumphries Public blog: https://medium.com/the-spike Book: "The Spike: An Epic Journey Through the Brain in 2.1 Seconds" (Princeton UP) out now in paperback: https://press.princeton.edu/books/paperback/9780691241487/the-spike This message and any attachment are intended solely for the addressee and may contain confidential information. If you have received this message in error, please contact the sender and delete the email and attachment. Any views or opinions expressed by the author of this email do not necessarily reflect the views of the University of Nottingham. Email communications with the University of Nottingham may be monitored where permitted by law.

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Postdoctoral Research Fellow in Biocomputation at the University of Hertfordshire, UK
by Volker Steuber April 2, 2024

April 2, 2024

Post Title: Research Fellow in Biocomputation SBU/Department: School of Physics, Engineering and Computer Science ________________________________ FTE: 1 FTE (working 37 hours per week) Duration of Contract: Fixed term Contract (3 years) Salary: UH7 £36,333 pa with potential to progress to £43,155 pa on achieving designated skills and experience Annual Leave: 35 days plus standard public holidays and an additional 4 days including the closure of our office between Christmas and New Year Location: College Lane Campus, Hatfield, UK Closing Date: 14th June 2023 Interview Date: To be confirmed Reference Number: 048016 Date advert placed: 17th May 2023 Main duties and responsibilities We are seeking a full-time Research Fellow to join the Biocomputation Research Group in the School of Physics, Engineering and Computer Science at the University of Hertfordshire to conduct high-quality research in Computational Neuroscience. The successful candidate’s research will involve synergistic collaborations with a multidisciplinary team to investigate brain processes using methodologies such as computational modelling, machine learning and AI. Research to be conducted could, e.g., comprise modelling brain circuits like the olfactory bulb or the cerebellum and simulating and analysing their function. Additional impact could arise in machine learning, AI, data science, neurorobotics and neuromorphic computing. The successful candidate will be expected to establish a programme of research in collaboration with colleagues at UH and partner organisations in the UK and abroad. Leading the preparation and publication of research manuscripts is a key aspect of the role. Contributions to the preparation of research proposals and applications for funding to external bodies, such as the European Commission and the UK Research and Innovation (UKRI) are expected. The postholder will create opportunities to maximise research activities, capturing relevant evidence to support impact and engaging with external partners and stakeholders. Skill and experience required * Strong theoretical, computational and programming background in computational modelling and/or machine learning and/or data science and/or AI. * Background and expertise in computational neuroscience (e.g. spiking neural networks, brain function and anatomy, analysis of brain data). * Demonstrated experience to conduct independent research in computational neuroscience or a related field, e.g., through published research papers or monographs. * Applicants must be proficient in both written and oral English * The applicants must be able to work independently and in a structured manner and demonstrate good collaborative skills. Qualifications required • An undergraduate honours degree (or equivalent) in Computer Science, Physics, Mathematics, Neuroscience, or a related discipline and a PhD (or expectation that one will soon be awarded) in a relevant discipline. An appointment to this role may require an Academic Technology Approval Scheme (ATAS) certificate. Contact Details/Informal Enquiries: Professor Volker Steuber, v.steuber(a)herts.ac.uk Professor Michael Schmuker, m.schmuker(a)herts.ac.uk Apply through: https://www.jobs.herts.ac.uk/go/048016 Our vision is to transform lives: UH is committed to Equality, Diversity and Inclusion and building a diverse community. We welcome applications from suitably qualified and eligible candidates regardless of their protected characteristics and recognise there are different ways applicants may achieve the criteria in this document. We offer a range of employee benefits including generous annual leave, flexible location opportunities within the UK, discounted Sports Village memberships and free Active Staff sessions, personal and professional development and family-friendly policies. Volker Steuber Professor of Computational Neuroscience Biocomputation Research Group School of Physics, Engineering and Computer Science University of Hertfordshire College Lane, Hatfield, AL10 9AB, UK biocomputation.herts.ac.uk<http://biocomputation.herts.ac.uk>

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Postdoc Position in Moral Artificial Intelligence (Jointly sponsored by Duke and CMU)
by Dr Jana Schaich Borg, Ph.D. March 11, 2024

March 11, 2024

Postdoc available in our interdisciplinary Moral AI group! Description: We have an opening for a joint two-year postdoctoral position at the School of Computer Science at Carnegie Mellon University and the Social Science Research Institute, Duke Institute for Brain Sciences, and Kenan Institute for Ethics at Duke University (with the possibility of renewal for a third year). The postdoc can be employed through any of these departments in either University, depending on their preference. The candidate is expected to live in either Pittsburgh or Durham depending on their chosen home department, but will be asked to travel occasionally to the other location. The focus of the position is on conducting impactful research on moral artificial intelligence, addressing problems such as: Designing artificial intelligence systems to model and predict human moral judgments Designing effective elicitation mechanisms and interfaces to capture moral preferences Developing techniques for implementing and evaluating AI systems that are based on these modeled preferences, and assessing the dynamic impact of these systems on the preferences and behavior of users who interact with them Qualifications: Applicants should hold a Ph.D. in computer science, statistics, mathematics, computational neuroscience, computational cognitive science, or related technical fields and have expertise in Machine Learning and AI / statistics / data science. Additional background in moral psychology, moral philosophy, (AI or other) ethics, HCI, social decision-making and/or social science is preferred, but not required. Interested applicants should apply online <https://apply.interfolio.com/113237> <https://apply.interfolio.com/113237> (https://apply.interfolio.com/113237) or contact Dr. Jana Schaich Borg via email (js524(a)duke.edu) including a CV and statement of research interests, and the name of three referees that can provide letters of recommendation. We are strongly committed to a diverse academic environment and place high priority on attracting underrepresented candidates.

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Multiple postdoctoral positions in computational neuroscience (neural coding), Hamburg, Germany
by Stefano Panzeri Feb. 29, 2024

Feb. 29, 2024

I am opening three fully funded postdoctoral positions in computational neuroscience at the University Medical Center Hamburg-Eppendorf (UKE) in Hamburg, Germany. We investigate how networks of neurons in the cerebral cortex encode, process and transmit information to generate behaviors such as sensation and decision-making. To address these issues, we develop and use information-theoretic and machine learning methods to study population coding, as well as neural network models to individuate mechanisms for neural information processing and generation of functions. Our laboratory enjoys extensive long-term international collaborations with experimental laboratories, including with Chris Harvey at Harvard Medical School, Wei- Lee at Boston Children’s Hospital, Tommaso Fellin and Alessandro Gozzi at IIT, Mriganka Sur at MIT, as well as collaborations with experimental laboratories in Hamburg (Andreas Engel, Tobias Donner, Ileana Hanganu-Opatz). The laboratory also offers a thriving, ambitious and well-funded research environment (with funds from the NIH Brain Initiative, the Simons Foundation, the European Union, the ERC). The lab provides ample opportunities for advanced training and for personal scientific growth. We seek candidates holding a PhD in a numerate or neuroscientific discipline, with a solid computational background and a keen interest in neuroscience. They must be highly motivated and creative individuals who want to work in a dynamic, multi-disciplinary research environment and be happy to interact with both experimental and theoretical neuroscientists. The jobs are available starting immediately and applications will be considered as soon as they are received and until the position is filled. Funding is available for several years and a minimum commitment of two years is expected by interested candidates. Interested applicants are encouraged to email me (stefano.panzeri(a)gmail.com) as soon as possible, to inform me of the interest for the position and initiate a discussion about research projects. For recent relevant publications from my lab, see: Kuan A et al (2024) Synaptic wiring motifs in posterior parietal cortex support decision-making *Nature:* advanced online publication (doi 10.1038/s41586-024-07088-7) Celotto M et al, An information-theoretic quantification of the content of communication between brain regions, *NeurIPS* 36, 2023 Panzeri S, et al (2022) The structures and functions of correlations in neural population codes. *Nature Reviews Neuroscience* 23: 551-567 Koren V., Panzeri S (2022) Biologically plausible solutions for spiking networks with efficient coding. *NeurIPS 35, 2022,* Curreli S, et al (2022) Complementary encoding of spatial information in hippocampal astrocites. *PLoS Biology* 20: e3001530. Valente, M. et al (2021), Correlations enhance the behavioral readout of neural population activity in association cortex. *Nature Neuroscience*, 24, 975–986 Chong, E. et al (2020) Manipulating synthetic optogenetic odors reveals the coding logic of olfactory perception. *Science* 368, 1329. Runyan C. A., et al (2017) Distinct timescales of population coding across cortex, *Nature*: 548: 92-96. Panzeri S., et al (2017) Cracking the neural code for sensory perception by combining statistics, intervention and behaviour. *Neuron* 93: 491-507 Pica, G. et al (2017) Quantifying how much sensory information in a neural code is relevant for behavior, *NeurIPS 30, 2017* Thanks Stefano Panzeri (stefano.panzeri(a)gmail.com)

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NeuroDataReHack data reuse workshop and Open Neurodata Showcase
by Ryan Ly Feb. 29, 2024

Feb. 29, 2024

Dear colleagues, The Neurodata Without Borders (NWB) <http://nwb.org/> team is organizing two upcoming events: NeuroDataReHack and the Open Neurodata Showcase. NeuroDataReHack 2024 July 8-12, 2024 Janelia Research Campus, Ashburn, Virginia, USA The goal of NeuroDataReHack is to train participants to generate new insights from existing neurophysiology data through secondary analysis. The DANDI Archive <http://dandiarchive.org/> now has 200+ neurophysiology datasets in the Neurodata Without Borders <http://nwb.org/> format spanning many species, brain areas, task types, and imaging modalities. These include large-scale datasets from the Allen Institute, the MICrONS project, and the International Brain Laboratory, as well as diverse contributions from neuroscience labs around the world. NeuroDataReHack will teach attendees how to maximally utilize the data and computational resources of the DANDI Archive to incorporate existing data into their scientific workflows. Example projects include but are not limited to: - Determine whether your scientific findings are present in another species or brain area. - Guide the generation of hypotheses for a new project or grant application. - Showcase the capabilities of your tool or analysis on published data from another lab. - Explore follow-up questions to a study that has published data. The workshop is free to attend, and on-site housing and meals will be provided. Travel support is limited. Learn more and apply at the NeuroDataReHack 2024 website <https://neurodatawithoutborders.github.io/nwb_hackathons/HCK21_2024_Janelia…>. The deadline to apply is March 10. *Open Neurodata Showcase* July 2, 2024, 9-10:30 AM PDT Virtual In the week before NeuroDataReHack, the NWB team is organizing a virtual poster session on the Gather platform to bring together data contributors and anyone interested in reusing existing neurophysiology data. This virtual event offers a unique opportunity for participants to explore and engage in discussions about particular dandisets, and allows data contributors to showcase their projects. Anyone interested in using open neurophysiology datasets or presenting on their published neurophysiology datasets is welcome to attend. Learn more and register at the event website <https://neurodatawithoutborders.github.io/nwb_hackathons/HCK20_2024_OpenNeu…> . If you have any questions, please contact us at contact(a)nwb.org. Kind regards, Ben Dichter, CatalystNeuro Oliver Rübel, Lawrence Berkeley National Laboratory Ryan Ly, Lawrence Berkeley National Laboratory -- Ryan Ly Scientific Data Engineer Lawrence Berkeley National Laboratory 1 Cyclotron Road Mail Stop 59R4104 Berkeley, CA 94720 Email: rly(a)lbl.gov Pronouns: he/him

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Post-Doctoral Research Associate Neuron Modeling for Transcranial Electric and Magnetic Stimulation
by David Zhou Feb. 29, 2024

Feb. 29, 2024

(Forwarding on behalf of Warren Grill) We seek a highly-motivated individual to conduct research on computational modeling of cortical neuron activation by transcranial electric and magnetic stimulation (TES and TMS). We have an NIH-funded R01 project to develop and disseminate computational neuron models and their integration with TES and TMS electric field simulations in the popular SimNIBS software package. This project is a collaboration between Dr. Warren Grill and Dr. Angel Peterchev at Duke University and Dr. Axel Thielscher at the Danish Research Center for Magnetic Resonance and Technical University of Denmark. This work is part of a long-standing research program at Duke for rigorous computational modeling and experimental characterization of both invasive and noninvasive neurostimulation. The strong interdisciplinary and collaborative environment at Duke is ideal for our multi-scale modeling research efforts. An earned PhD and previous experience in computational neurostimulation modeling are required as are excellent communication skills. This is a full-time position with University Benefits and provides exceptional opportunities for interdisciplinary research and career development. We value all dimensions of diversity and believe that the best solutions to challenging problems will come from working with people from a broad range of backgrounds and experiences. For consideration submit a cover letter, CV, and the names and contact information of three professional references here: https://academicjobsonline.org/ajo/jobs/27152 ---------- Forwarded message --------- From: Stephanie Jones <stephanie_jones(a)brown.edu> Date: Thu, Feb 29, 2024 at 9:18 AM Subject: Fwd: Post-Doc or Staff Scientist/Engineer Position To: Thomas Serre <thomas_serre(a)brown.edu>, Michael J Frank < Michael_Frank(a)brown.edu> Cc: Matthew Nassar <matthew_nassar(a)brown.edu>, Wilson Truccolo < wilson_truccolo(a)brown.edu>, David Zhou <david.wei.zhou(a)gmail.com>, Carina Curto <carina_curto(a)brown.edu> Can we share the announcement below with the comp neuro community? ********************************************* *Stephanie R. Jones, PhD* *Professor * *Department of Neuroscience * *Brown University * *Stephanie_Jones(a)Brown.edu* *https://sites.brown.edu/stephanie-r-jones-lab/ <https://sites.brown.edu/stephanie-r-jones-lab/>* *@drstephjones* *Human Neocortical Neurosolver* *https://hnn.brown.edu <https://hnn.brown.edu>* *@HNNsolver* Begin forwarded message: *From: *"Warren M Grill, Ph.D." <warren.grill(a)duke.edu> *Subject: **Post-Doc or Staff Scientist/Engineer Position* *Date: *February 29, 2024 at 8:26:43 AM EST *To: *"stephanie_jones(a)brown.edu" <stephanie_jones(a)brown.edu> Dear Stephanie I hope this finds you well. We are recruiting a new post-doc or staff scientist/engineer with experience in neural modeling, and I would appreciate you recommending this opportunity to high caliber candidates in your department, as well as spreading the word broadly in your community. Thank you. All the best, Warren _ _ _ _ _ Warren M. Grill, Ph.D. Edmund T. Pratt, Jr. School Distinguished Professor of Biomedical Engineering Duke University Editor in Chief, Journal of Neural Engineering Fellow of AIMBE, BMES, IAMBE, and NAI (he/him/his) https://grill-lab.pratt.duke.edu warren.grill(a)duke.edu (919) 660-5276 Phone (919) 684-4488 Fax CIEMAS Room 1139 Mail to: Duke University Department of Biomedical Engineering Fitzpatrick CIEMAS, Room 1427 101 Science Drive Box 90281 Durham NC 27708-0281 Post-Doc or Staff Scientist/Engineer Position

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Abstract submission deadline extended: Mathematics of Neuroscience and AI, Rome, 28-31st May 2024.
by Battleday, Ruairidh Feb. 29, 2024

Feb. 29, 2024

We have extended the deadline for abstracts for the 5th International Convention on the Mathematics of Neuroscience and AI, to be held in Rome 28th-31st May 2024: New deadline: 8th March, 2024; AOE. We hope that you come and join us! Thank you to all the people that have submitted already—the quality has been fantastic. If you would like to edit your submission, just submit another response. In this high-profile convention we examine computational accounts of the brain and mind from the perspectives of biocomputation, neural theory, and cognitive science. We then take findings and theory back into the creation of robust, generalizable, and scalable AI: www.neuromonster.org We invite submissions for each session via this Google form: https://forms.gle/u8tJU4PtkT1EKYte7 Keynote Speakers Professor Peter Dayan (Max Planck Institute, Tübingen) Professor Sophie Deneve (ENS, Paris) Professor Wolfgang Maass (TUG) Professor Mackenzie Mathis (EPFL) Professor Anne Collins (UC Berkeley) Dr Feryal Behbahani (Google DeepMind) Dr Giovanni Pezzulo (NRC of Italy, Rome) Session Chairs Biocomputation Yasmine Ayman (Harvard) Professor Dan Nicolau Jr (KCL) Neural theory Dr James Whittington (Stanford / Oxford) Dr Francesca Mastrogiuseppe (Champalimaud) Cognitive science Dr Ruairidh Battleday (Harvard / MIT) Dr Antonella Maselli (NRC Italy) AI Dr Ishita Dasgupta (Google DeepMind) Dr Ilia Sucholutsky (Princeton) Confirmed speakers Biocomputation Professor Andrew Adamatzky (UWE) Professor Panayiota Poirazi (FORTH, Crete) Professor Jason Shepherd (Utah) Professor Christine Grienberger (Brandeis) Neural theory Professor Rafal Bogacz (Oxford) Professor Athena Akrami (UCL) Professor Nicolas Brunel (Duke) Professor Kanaka Rajan (Harvard) Dr Lea Duncker (Stanford) Dr Kris Jensen (UCL) Cognitive science Professor Dagmar Sternad (Northeastern) Professor Bill Thompson (UC Berkeley) Professor Samuel McDougle (Yale) Dr Maria Eckstein (DeepMind) Dr Fred Callaway (NYU / Harvard) AI Professor Kevin Ellis (Cornell) Professor Najoung Kim (BU, Google) Dr André Barreto (DeepMind) Dr Sophia Sanborn (USB / UBC) Dr Wilka Carvalho (Harvard) The submission format is a single A4 sheet containing (at least) an abstract of 250 words, along with any additional material you think valuable. These will be accepted for poster, spotlight, or a short talk. New submission deadline is 8th March AOE. We will reply by March 15th with a decision. The convention will be held at the Villa Wolkonsky, in San Giovanni, Rome (10 minutes walk from the Colosseum). Many thanks! The Organizing Committee. -- Dr Ruairidh McLennan Battleday BMBCh (Oxon) PhD President Thinking About Thinking (www.thinkingaboutthinking.org) Postdoctoral Research Fellow Center for Brain Science, Harvard University Center for Brains, Minds, and Machines, MIT

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