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Information on the upcoming 7th HBP Student Conference on Interdisciplinary Brain Research
by HBP Education 05 Aug '22

05 Aug '22

Dear Sir or Madam, We kindly ask you to include our upcoming 7th HBP Student Conference on Interdisciplinary Brain Research in your scientific event calendar or share via your communication channels. Please find further information about the event below and in the attached pdf file. Thank you very much for your support! With kind regards, HBP Education Team ____________________________________________ We are happy to invite you to the 7th HBP Student Conference on Interdisciplinary Brain Research. Please also share this information in your networks! The 7th HBP Student Conference will take place from 18-20 January 2023 in Madrid, Spain. Participation is open to the entire student community and early-career researchers, regardless of whether they are affiliated with the Human Brain Project (HBP) or not. The 7th HBP Student Conference provides an open forum for the exchange of new ideas among early career researchers working across various scientific fields relevant to the Human Brain Project (HBP), such as neuroscience, computer science, robotics, medicine, psychology, cognitive science, and philosophy. Attendees will be exposed to the data-driven and multidisciplinary brain research approach of the HBP and will have the opportunity to use the EBRAINS research infrastructure. The conference will provide space for extensive scientific dialogue (both intra- and interdisciplinary) amongst peers and faculty through a variety of discussion sessions, lectures, workshops & hands-on training sessions and social events. Call for Submissions The Conference invites high-quality submissions describing innovative research in all disciplines addressed in the HBP. These contributions can emphasize theoretical or empirical works relating to a wide spectrum of fields including, but not limited to neuroscience, computer science, robotics, medicine, psychology, cognitive science and philosophy. We particularly encourage submissions with a potential to inspire collaboration in the research community by introducing new and relevant problems, concepts, and ideas, even if the work is at an early stage of development. For further information on abstract submission please visit the conference website. The abstract submission deadline is 3 October 2022. Participants are also welcomed without contributing to the scientific programme. Early Bird Registration Deadline: 1 December 2022 Regular Registration Deadline: 4 January 2023 Please register via the conference website. For any further questions, please contact the HBP Education Programme via education(a)humanbrainproject.eu. We are looking forward to an interesting and productive conference! With kind regards, HBP Education Team

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Assistant Professor Position at the University of Calgary
by Wilten Nicola 04 Aug '22

04 Aug '22

Dear Comp Neuro community, The University of Calgary is currently looking for an assistant professor in biostatistics. This includes computational neuroscientists with a strong statistical background. The full job ad can be found at https://www.mathjobs.org/jobs/list/20288 and I encourage all potential applicants to reach out to the department head, Dr. Antony Ware ( aware(a)ucalgary.ca) for questions. Assistant Professor – Biostatistics Faculty of Science, Department of Mathematics & Statistics The Department of Mathematics and Statistics at the University of Calgary seeks outstanding candidates for a tenure-track position at the rank of Assistant Professor in Biostatistics with an anticipated start date of 1st January, 2023. The successful candidate will have a PhD in biostatistics/statistics or a closely related field. They will have a research program in biostatistical analysis, methodology development, and computation, with a focus on the statistical analysis of and computation with complex data from human, animal, or health/biomedical research and clinical work. They will have an outstanding record of research in the form of publications in high-impact, peer-reviewed journals, awards, invited talks and other scholarly achievements, as appropriate for their career path and stage. A demonstrated record of or potential for attracting and sustaining peer-reviewed external funding is also required, as is a commitment to high-quality teaching and supervision at the undergraduate and graduate level. The successful candidate will join a multidisciplinary and inter-Faculty team of statisticians, biologists, medical researchers and investigators studying models and clinical realities of human and animal disease. Peer-reviewed external funding is expected to be sustained throughout the appointment, and industrial partnerships are strongly encouraged where appropriate. The position includes both teaching and research responsibilities, and will include expectations to recruit and supervise graduate students. Candidates must have excellent communication and interpersonal skills. The candidate is expected to contribute to the interdisciplinary Biostatistics and Data Science programs at the University and to complement Department expertise at both undergraduate and graduate levels. This is an excellent opportunity to develop a vigorous and independent research program within a dynamic and collaborative environment in the Department. The Department has established expertise in statistical research and is developing links with the biomedical research and data science groups in the Faculty of Science, the Cumming School of Medicine and the Faculty of Veterinary Medicine at the University, surrounding research communities and industry. The Department offers a vibrant research environment and the statistical faculty members in the Department excel in both research theory and methods as well as interdisciplinary collaborative work. The Department’s current research areas are broad and support three graduate programs in statistics, biostatistics and actuarial science. The Department is co-hosting programs in Data Science and Analytics with the Department of Computer Science. Current research areas of the biostatistics group include causal inference, Bayesian methods, big data analytics, empirical likelihood, extreme-value analysis, infectious disease modeling, lifetime data analysis, methods for high-dimensional data, non-parametric methods, pseudo and composite likelihood methods, semiparametric and nonparametric models, statistical learning and data mining. The Department is home to the Research Group in Biostatistics (RGB), which is a diverse and active group that includes researchers and students with methodological and applied interests in the medical, health, biological, and social sciences. The University of Calgary offers graduate Biostatistics research training opportunities run jointly by the Departments of Mathematics and Statistics (Faculty of Science) and Community Health Sciences (Cumming School of Medicine). This graduate training is offered at both the PhD and MSc Thesis levels, available as an interdisciplinary specialization in Biostatistics. The University of Calgary, jointly with the University of British Columbia – Okanagan, operates the Canadian Statistical Sciences Institute (CANSSI) Rocky Mountain Data Science Network that offers excellent Biostatistics graduate students the chance of paid four- or eight-month internships, working in governmental, industrial and academic environments. We are currently establishing the CANSSI Rockies Regional Centre that will provide further training and collaborative opportunities with colleagues from 11 other universities in AB, B.C. and Yukon. How to apply Interested individuals are encouraged to submit an application online via the MathJobs.org website. Applications must include the following: • a cover letter containing a description of why this position is of interest to the candidate, and a clear statement of their Canadian Citizenship/Residency status • a description of past, current and future research • a statement describing the candidate’s contributions, or potential contributions to, Equity, Diversity, and Inclusion (EDI) along with their ability to work with a culturally diverse and international student, staff, and faculty body (up to 1 page) • a concise statement of teaching philosophy and focus (1 page) • a curriculum vitae • names and contact information for three references. Three letters of reference, at least one of which addresses teaching, will be required for shortlisted candidates. These letters may be uploaded onto the MathJobs.org site or, if requested, sent directly by the references to Dr. Antony Ware, Head, Department of Mathematics and Statistics Email: aware(a)ucalgary.ca University of Calgary, 2500 University Drive Calgary, AB T2N 1N4 Questions may be addressed to the Search Committee by emailing search(a)math.ucalgary.ca. Only applications received by 30th September, 2022 will be guaranteed full consideration. The University of Calgary’s comprehensive benefits and pension program is designed to promote a productive level of health and well-being to staff members through coverage for health, dental, life insurance, income protection for disability, and retirement income planning. To learn about our comprehensive benefits package, please visit http://www.ucalgary.ca/hr/academic_benefits_pension. The University of Calgary has launched an institution-wide Indigenous Strategy in line with the foundational goals of Eyes High, committing to creating a rich, vibrant, and culturally competent campus that welcomes and supports Indigenous Peoples, encourages Indigenous community partnerships, is inclusive of Indigenous perspectives in all that we do. The University of Calgary recognizes that a diverse staff/faculty benefits and enriches the work, learning and research experiences of the entire campus and greater community. We are committed to removing barriers that have been historically encountered by some people in our society. We strive to recruit individuals who will further enhance our diversity and will support their academic and professional success while they are here. All qualified candidates are encouraged to apply; however, Canadians and permanent residents will be given priority. In this connection, in the cover letter included in your application, please state clearly whether or not you are either a Canadian citizen or a permanent resident of Canada. Additional Information The University of Calgary is pursuing a Growth Through Focus strategic vision involving future-focussed program delivery, transdisciplinary scholarship, and deeper community integration. To learn more about academic opportunities at the University of Calgary and all we have to offer, view our Academic Careers website. For more information about the Faculty of Science visit Careers in the Faculty of Science. About the Faculty of Science The Faculty of Science has been catalyzing change and inspiring discovery, creativity, and innovation for over 50 years. Our strategic direction integrates current and emerging strengths with areas targeted for future growth and investment. Our strategic priorities, goals, and values guide our mission to advance research, scholarship, and innovation, create authentic learning experiences, and inspire careers of the future. We fuel transformational change, and build a strong community through teaching, learning, research, scholarship, and collaborative partnerships. We do this work to generate curiosity-driven discovery and contribute solutions to society's grand challenges. For more information, visit science.ucalgary.ca. We thrive in the dynamic context of the University of Calgary, one of Canada’s most youthful and innovative universities. We are a bold and ambitious research university, grounded in innovative learning and teaching, fully engaged in Calgary’s entrepreneurial spirit. *About the University of Calgary *The University of Calgary is Canada’s leading next-generation university – a living, growing and youthful institution that embraces change and opportunity with a can-do attitude. Located in the nation’s most enterprising city, the university’s Growth Through Focus strategy is putting it on course to be an entrepreneurial university, where students, faculty and staff face fewer barriers to innovation and more tools to change the world around them. The University of Calgary inspires and supports discovery, creativity and innovation across all disciplines. For more information, visit ucalgary.ca. *About Calgary *Alberta Calgary is one of the world's cleanest cities and has been named one of the world's most livable cities for years. Calgary is a city of leaders - in business, community, philanthropy and volunteerism. Calgarians benefit from a growing number of world-class dining and cultural events and enjoy more days of sunshine per year than any other major Canadian city. Calgary is less than an hour's drive from the majestic Rocky Mountains and boasts the most extensive urban pathway and bikeway network in North America

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Upcoming events by the HBP Education Programme
by HBP Education 04 Aug '22

04 Aug '22

Hello, I hope this e-mail finds you well. We are the Human Brain Project Education Programme and specialise in organising workshops and events in which participants are introduced to the research infrastructure EBRAINS. I would like to raise awareness for two upcoming events. Please consider adding them to your list of upcoming events. ---------------------------------------------------- Young Researchers Event meets HIBALL: new digital tools to study the brain Date: 25 October 2022 Website: https://www.humanbrainproject.eu/en/education-training-career/YRE2022-Croat… Description: The human brain is a multi-level and highly complex system that produces, processes and transmits information in an incomparable manner. The Human Brain Project (HBP) unites researchers and scientists to decode the mechanisms underlying this unique system by investigating the human brain and its diseases with the help of highly advanced ICT tools. As such, the HBP is developing EBRAINS, the new European digital research infrastructure, as a lasting contribution to the global science community, an open source tool that allows scientists and technology experts to seamlessly collaborate, thereby accelerating advancements in the fields of neuroscience, computing and brain-related medicine. The Helmholtz International BigBrain Analytics and Learning Laboratory (HIBALL) is an HBP Partnering Project that aims to transform the well-known BigBrain model to its next level by reinforcing utilization and co-development of the latest AI and high-performance computing (HPC) technologies for building highly detailed 3D brain models. HBP and EBRAINS together with the University of Zagreb, School of Medicine and HIBALL invite the entire scientific community, in particular early career researchers, to join the forthcoming Young Researchers Event (YRE), taking place on 25th October in Zadar, Croatia and online. During this one-day free hybrid event, participants can learn more about topics like big data analytics, human brain atlasing and computational neuroscience in interactive plenaries and hands-on workshops. The programme also offers networking opportunities for participants to exchange with peers as well as renowned experts. This event will take place in conjunction with the 6th BigBrain Workshop - From microstructure to functional connectomics. Address: Falkensteiner Resort Punta Skala, 2321 Petrčane, Croatia Registration deadline: 4 October 2022 ———————————————— EBRAINS Workshop: Anatomy and function of the prefrontal cortex across species Date: 14-16 March 2023 Website: https://www.humanbrainproject.eu/en/education/YRE2022-Denmark/ Description: Understanding the human brain relies for a large part on work in animal models, which necessitates a careful cross-species comparison. The prefrontal cortex (PFC) is particularly relevant in this regard as its function is poorly understood and potential cross-species differences remain highly debated. This workshop brings together experimental and computational scientists whose work allows a comparison of the anatomy and function of the PFC between species (in particular between humans, monkeys and mice). EBRAINS is uniquely suited to provide a platform to compare anatomy, physiology and behaviour between species, due to its atlases, numerous datasets, as well as the whole brain models from different species. The interactive format of the workshop will allow speakers as well as participants from largely separated fields to interact and discuss, which is expected to create novel insights as well as lead to more coherence and clarity in the relevant terminology, formats and important research directions in the field. Address: ICM Institute for Brain and Spinal Cord, 47, bd de l'hôpital, Paris, France Registration deadline: 21 November 2022 (Early-Bird Registration), 28 February 2022 (Late Registration) ———————————————————————— Please don’t hesitate to contact us should you need further information. Thank you in advance The HBP Education Team

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DeepMath 2022 Submission Deadline
by Ahmed El Hady 01 Aug '22

01 Aug '22

** *Dear all,* * We are pleased to announce our confirmed lineup of invited speakers for DeepMath 2022: * Francis Bach (INRIA) * Anima Anandkumar (CalTech) * Sara Solla (Northwestern) * Berk Ustun (UCSD) * Yisong Yue (Caltech) * Courtney Paquette (McGill) We are now accepting abstract submissions to the 2022 Conference on mathematical theory of deep neural networks (DeepMath; see https://deepmath-conference.com <https://deepmath-conference.com>for more information). DeepMath is a highly interdisciplinary conference focused on understanding fundamental theory driving the success of Deep Learning. A principal goal of this conference is to bring together theoreticians working on deep learning from various disciplines and perspectives. We therefore encourage submissions from researchers from diverse disciplines including, but not limited to * Statistics * Physics * Computer science * Neuroscience * Mathematics * Psychology * Engineering Topics may address any area of deep learning research such as * Expressivity * Generalization * Optimization * Representations * Computation * Network architectures * Recurrent networks. To complement the many conferences with applications andtheory the focus for DeepMath 2022 will be exclusively on thetheoretical and mechanistic understandingof the underlying properties of neural networks. Abstracts will not be made public (i.e., no official proceedings), and will be doubly-blind reviewed and selected for quality. All poster submissions should be properly anonymized in order to allow for blind refereeing. Submissions should be no more than 1 pagealthough a second page may be used for references. Authors should submit a pdf file prepared using the Latex style file available here <https://drive.google.com/file/d/1dkDhgVN5SHphwQKNLnQiDzkgbp0NFyNT/view?usp=…>and should adopt all formatting, subject headings, font sizes, etc. defined therein. Submissions that fail to meet the format requirements will not be reviewed. The first author listed on the abstract is considered to be the presenting author. Each presenting author may submit only one abstract. Investigators interested in having their abstracts considered for presentation should submit their abstracts no later than August 14, 2022 AOE. Authors may submit their abstracts at: https://cmt3.research.microsoft.com/DEEPMATH2022/ == Location == DeepMath 2022 will be held in San Diego, CA, USA. We anticipate requiring proof of full vaccination as a condition of attendance, and plan on having masking and other requirements equal or more stringent than local and national public health guidelines. Stay tuned to the DeepMath website (www.deepmath-conference.com <http://www.deepmath-conference.com>) for more details on venue and hotels. As with all prior years, all talks will be freely live-streamed over YouTube and subsequently posted on the DeepMath YouTube channel == Registration == DeepMath 2022 registration will open late summer. As with previous DeepMath conferences, all talks will be live-streamed for free and uploaded for later viewing subject to presenter approval. All the best, Ahmed El Hady On behalf of the DeepMath 2022 Organizational Committee *

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EBRAINS Workshop 14-16 March 2023, Paris FR - Anatomy and function of the prefrontal cortex across species
by Zélie Tournoud 01 Aug '22

01 Aug '22

Dear colleagues, Please find below the announcement of the EBRAINS Workshop "Anatomy and function of the prefrontal cortex across species" taking place 14-16 March 2023 in Paris, France. Registration is currently open with an early bird pricing. Kind regards, *Zélie Tournoud*/ EITN Communication manager/ *European Institute for Theoretical Neuroscience (EITN)* UMR 9197 – *NeuroPSI*(Institut des Neurosciences Paris-Saclay) CNRS – Université Paris-Saclay Centre CEA Paris-Saclay Bâtiment 151 91400 Saclay https://www.eitn.org <https://www.eitn.org> _____ EBRAINS Workshop Anatomy and function of the prefrontal cortex across species *14 – 16 March 2023 | Paris, France* Program, information and registration: https://www.humanbrainproject.eu/en/education-training-career/workshops/pfc/<https://www.humanbrainproject.eu/en/education-training-career/workshops/pfc/> *Early Bird Registration Deadline: 21 November 2022 * *Late Registration Deadline: 28 February 2023* About Understanding the human brain relies for a large part on work in animal models, which necessitates a careful *cross-species comparison*. The *prefrontal cortex* (PFC) is particularly relevant in this regard as its function is poorly understood and potential cross-species differences remain highly debated. This workshop brings together experimental and computational**scientists whose work allows a comparison of the *anatomy* and *function* of the PFC between species (in particular between humans, monkeys and mice). EBRAINS <http://ebrains.eu/> is uniquely suited to provide a platform to compare anatomy, physiology and behaviour between species, due to its atlases, numerous datasets, as well as the whole brain models from different species. The *interactive format* of the workshop will allow speakers as well as participants from largely separated fields to interact and discuss, which is expected to create novel insights as well as lead to more coherence and clarity in the relevant terminology, formats and important research directions in the field. Confirmed speakers *Day 1* *Anatomy:* *Javier DeFelipe* | Cajal Institute, Madrid, Spain *Huib Mansvelder* | Vrije Universiteit Amsterdam, Amsterdam, The Netherlands *Chet Sherwood* | GW Mind-Brain Institute, Washington, USA *Suzana Herculano-Houzel *| Vanderbilt University, Nashville, USA *Henry Kennedy* | Stem Cell and Brain Research Institute, Lyon, France *Marie Carlén* | Karolinska Institute, Stockholm, Sweden *Physiology:* *Wim Vanduffel* | KU Leuven, Leuven, Belgium *Mark Laubach* | American University, Washington, USA *Stefan Everling* | Western University, London, Canada *Hendrikje Nienborg* | National Eye Institute, Bethesda, USA *Martha Havenith* | Ernst Strüngmann Institute for Neuroscience, Frankfurt, Germany *Yang Dan* | University of California, Berkeley, USA *Day 2* *Behavior & physiology:* *Pieter Roelfsema* | Netherlands Institute for Neuroscience, Amsterdam, The Netherlands *Andreas Nieder* | University of Tübingen, Tübingen, Germany *Sandra Reinert* | Max Planck Institute for Biological Intelligence, Martinsried, Germany *Ann Duan* | Sainsbury Wellcome Centre, London, UK *Stanislas Dehaene* | NeuroSpin, Gif-sur-Yvette, France *Jessica Cantlon* | Carnegie Mellon University, Pittsburgh, USA *Computational modelling:* *Idan Segev* | Edmond & Lily Safra Center for Brain Sciences, Jerusalem, Israel *Rodrigo Cofre* | NeuroPSI, Gif-sur-Yvette, France *Rubén Moreno Bote* | University Pompeu Fabra, Barcelona, Spain *Jorge Mejias* | Universiteit van Amsterdam, Amsterdam, The Netherlands *Adrienne Fairhall* | University of Washington, Seattle, USA *Xiao-Jing Wang *| New York University, New York, USA Scientific Chairs & Local hosts *Timo van Kerkoerle**|***CEA Saclay, France *Alain Destexhe* *|*** CNRS, France *Ruth Benavides-Piccione* *|***Spanish National Research Council & Universidad Politécnica de Madrid, Spain

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2 fully funded PhD positions at the Univ. of Groningen
by Michael Biehl 29 Jul '22

29 Jul '22

Two fully funded (4 years) PhD positions in Neural Networks / Machine Learning / Deep Learning are available at the University of Groningen / NL within the project: "*Robust Learning of **Sparse Representations: * *Brain-inspired Inhibition and **Statistical Physics* *Analysis*". Main supervisors and sub-projects: George Azzopardi (https://www.cs.rug.nl/~george/) "*Push-pull inhibition in deep, convolutional * *(spiking) neural networks*" Michael Biehl (https://www.cs.rug.nl/~biehl/) "*Statistical physics analysis of learning processes * *in model situations*" For details and your expression of interest please visit https://t.co/VLjgKzPxJp *Apologies for multiple postings.* *Please circulate and distribute further.* -- --------------------------------------------------- Prof. Dr. Michael Biehl Bernoulli Institute for Mathematics, Computer Science and Artificial Intelligence P.O. Box 407, 9700 AK Groningen The Netherlands https://www.cs.rug.nl/~biehl m.biehl(a)rug.nl

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Preparatory workshop for shaping funded research teams in neuromorphic and unconventional computing (Europe only)
by Herbert Jaeger 29 Jul '22

29 Jul '22

The Volkswagen Foundation -- Germany's largest private research funding organization -- launches an initiative for the development of neuromorphic and other non-digital approaches to analyse and engineer computing systems. One action within this initiative is to support the formation of INTERDISCIPLINARY, possibly multi-national research teams. In a preparatory "Ideation" workshop, to be held in Einbeck (Germany) in December 5-8, 2022, European researchers interested in non-digital computing are invited to exchange views and ideas and start networking. The target audience is open-minded postdocs and assistant/junior professors with backgrounds in relevant areas - including but not restricted to materials and devices, microchip technology, optical computing, neuroscience, cognitive modeling, theory of computing, machine learning, complex dynamical systems, or philosophy of computing. The aim of the workshop is the nucleation of research teams who subsequently submit funding proposals for large-scale interdisciplinary research projects. More information can be found at https://www.volkswagenstiftung.de/en/funding/our-funding-portfolio-at-a-gla…. -- Dr. Herbert Jaeger Professor of Computing in Cognitive Materials Rijksuniversiteit Groningen Faculty of Science and Engineering - CogniGron Bernoulliborg Nijenborgh 9, 9747 AG Groningen office: Bernoulliborg 402 phone: +31 (0) 50-36 32473 COVID home office phone: +49 (0) 4209 930403 web: www.ai.rug.nl/minds/

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Workshop on Big Data Neuroscience UT Austin
by Franco Pestilli 27 Jul '22

27 Jul '22

Dear Colleagues, We are excited to announce the 7th annual Big Data Neuroscience (BDN) workshop organized by the Advanced Computational Neuroscience Network <https://neurosciencenetwork.org/ACNN_Workshop_2022.html#home>. The BDN workshop brings together researchers in neuroscience, computer science, statistics, computer engineering, structural biology, neuroinformatics, and related disciplines. The BDN workshop will be held in Austin, Texas, September 15-16, 2022. The themes of the workshops will be on the following topics: (1) Data Governance and Infrastructure, (2) Measurements and Acquisition, (3) Advanced Analysis and Applications, (4) Software, Sharing and Publication, (5) Standards and Validation. We have an exciting line-up of speakers spanning multiple disciplines of science and engineering: James Carson (Kristen Harris’ NeuroNex, UT Austin), Dan Stanzione (TACC), Damian Eke (De Montfort University), Axel Brunger (Stanford University), Martin Paulus (Laureate Institute), Jason McLellan (UT Austin), Jingyu Liu (Georgia State), Jessica Church-Lang (UT Austin), Chen Yu (UT Austin), Angie Laird (Florida International University), Maryann Martone (University of California San Diego), Laura Colgin (The University of Texas at Austin), Franco Pestilli (UT Austin), Piotr Sliz (Harvard University), Yaroslav Halchenko (Dartmouth), Dora Hermes (Mayo Clinic), and David Kennedy (UMass Medical School). In addition to science and engineering, the workshop will host a panel discussion on “Challenges and opportunities for international-scale infrastructure to advance data sharing and equity” with representatives from the National Science Foundation, the National Institutes of Health, Kavli Foundation, Nature Publishing Group, and Wellcome Trust. Registration You can register for the workshop using this form <https://forms.gle/xkAv9dgErAGzXPodA>. The deadline is September 1st, 2022. Call for Posters and Lightning Talks You can submit your abstract here <https://forms.gle/uyBRgaJb91CjoSUr9>. The deadline is August 18, 2022. Travel Scholarships A few travel scholarships for trainees with underrepresented backgrounds and diverse geographical locations are available. Use the abstract submission form to apply for a travel scholarship <https://forms.gle/uyBRgaJb91CjoSUr9>. The deadline is August 18, 2022. Please visit www.neurosciencenetwork.org for more information. Best regards, Franco Pestilli, The University of Texas at Austin Susanne Ressl, The University of Texas at Austin Josiah Leong, University of Arkansas Sharlene Newman, University of Alabama Jessica Turner, Georgia State Ivo Dinov, University of Michigan *FRANCO PESTILLI*, *Ph.D.* | *Associate Professor* Department of Psychology <https://liberalarts.utexas.edu/psychology/index.php> | College of Liberal Arts <https://liberalarts.utexas.edu/> | The University of Texas at Austin <https://www.utexas.edu/> he/him | pestilli(a)utexas.edu | web <https://liberalarts.utexas.edu/psychology/faculty/fp4834> | GitHub <https://github.com/francopestilli> | brainlife.io CONFIDENTIALITY NOTICE: This e-mail message, including any attachments, is for the sole use of the intended recipient(s) and may contain confidential and privileged information. Any unauthorized review, use, disclosure or distribution is prohibited. If you are not the intended recipient, please contact the sender by reply e-mail and destroy all copies of the original message.

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Post-doc in Neurophysiology: Cortical control of free viewing eye movements
by Bisley, James 27 Jul '22

27 Jul '22

Apologies for cross-posting We invite applications for a post-doc position studying the cortical control of free viewing eye movements at UCLA. The work will include recording from the frontal eye field and superior colliculus as well as inactivation experiments in LIP and FEF. For more information about the sort of work done in the lab, check out our publications at https://www.ncbi.nlm.nih.gov/myncbi/james.bisley.1/bibliography/public/. UCLA is growing its visual neuroscience footprint and now is an exciting time to be in Los Angeles. Applicants should have a strong background in systems neurophysiology, behavioral training or computational neuroscience and be comfortable working independently on all aspects of the project. Previous experience with NHP recording, the use of open source recording systems and data analysis is desirable. Candidates should hold a PhD in neuroscience, psychology or a related discipline. The position is initially for 12 months with the possibility of renewal. Compensation will be commensurate with relevant experience. Candidates should send a CV, a brief statement of research experience and interests, expected date of availability, and the contact information for two references to James Bisley (jbisley(a)mednet.ucla.edu) Cheers, James ________________________________ UCLA HEALTH SCIENCES IMPORTANT WARNING: This email (and any attachments) is only intended for the use of the person or entity to which it is addressed, and may contain information that is privileged and confidential. You, the recipient, are obligated to maintain it in a safe, secure and confidential manner. Unauthorized redisclosure or failure to maintain confidentiality may subject you to federal and state penalties. If you are not the intended recipient, please immediately notify us by return email, and delete this message from your computer.

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Sergey Levine speaking on July 28 in Developing Minds global online lecture series
by Jochen Triesch 27 Jul '22

27 Jul '22

Dear colleagues, On July 28, the Developing Minds global online lecture series will feature Sergey Levine, UC Berkeley, USA: "From Reinforcement Learning to Embodied Learning“ https://sites.google.com/view/developing-minds-series/home The live event will take place via zoom at: 09:00 PDT (Pacific Daylight Time) 16:00 UTC (Universal Coordinated Time) 18:00 CEST (Central European Summer Time) 01:00 JST, July 29 (Japan Standard Time) To participate please register here: https://sites.google.com/view/developing-minds-series/home Abstract Reinforcement learning provides one of the most widely studied abstractions for learning-based control. However, while the RL formalism is elegant and concise, real-world embodied learning problems (e.g., in robotics) deviate substantially from the most widely studied RL problem settings. The need to exist in a real physical environment challenges RL methods in terms of generalization, robustness, and capacity for lifelong learning -- all aspects of the RL problem that are often neglected in commonly studied benchmark problems. In this talk, I will discuss how we can devise a framework for learning-based control that is at its core focused on generalization, robustness, and continual adaptation. I will argue that effective utilization of previously collected experience, in combination with multi-task learning, represents one of the most promising paths for tackling these challenges, and present recent research in RL and robotics that studies this perspective. Bio Sergey Levine received a BS and MS in Computer Science from Stanford University in 2009, and a Ph.D. in Computer Science from Stanford University in 2014. He joined the faculty of the Department of Electrical Engineering and Computer Sciences at UC Berkeley in fall 2016. His work focuses on machine learning for decision making and control, with an emphasis on deep learning and reinforcement learning algorithms. Applications of his work include autonomous robots and vehicles, as well as computer vision and graphics. His research includes developing algorithms for end-to-end training of deep neural network policies that combine perception and control, scalable algorithms for inverse reinforcement learning, deep reinforcement learning algorithms, and more. Web: https://people.eecs.berkeley.edu/~svlevine/ The talk will also be recored and the recording made available via the web page: https://sites.google.com/view/developing-minds-series/home Stay healthy, Jochen Triesch -- Prof. Dr. Jochen Triesch Johanna Quandt Chair for Theoretical Life Sciences Frankfurt Institute for Advanced Studies and Goethe University Frankfurt http://fias.uni-frankfurt.de/~triesch/ Tel: +49 (0)69 798-47531 Fax: +49 (0)69 798-47611

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