- Comp-neuro - lists.cnsorg.org

NeuroDataReHack data reuse workshop and Open Neurodata Showcase
by Ryan Ly 29 Feb '24

29 Feb '24

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

1 0

Post-Doctoral Research Associate Neuron Modeling for Transcranial Electric and Magnetic Stimulation
by David Zhou 29 Feb '24

29 Feb '24

(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

1 0

Abstract submission deadline extended: Mathematics of Neuroscience and AI, Rome, 28-31st May 2024.
by Battleday, Ruairidh 29 Feb '24

29 Feb '24

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

1 0

ICDL Poster deadline extended to March 8
by nagai.yukie＠mail.u-tokyo.ac.jp 29 Feb '24

29 Feb '24

Dear colleagues, Join us in Austin May 20-23, 2024 for the IEEE International Conference on Development and Learning (ICDL). ICDL is an intimate and unique meeting gathering researchers interested in development from the perspective of ecological psychology, robotics, and computation. While the deadline for full paper submissions has passed, there is still time to submit to the poster tracks! We have confirmed an amazing list of speakers for the event - including a keynote by Jitendra Malik, the research director for Facebook AI - as well as 20 of the most important thinkers in this space. Our goal is to encourage deep conversations through carefully curated single-track symposia, including: [ Curiosity-Driven Learning and Predictive Models ] Yukie Nagai - The University of Tokyo, Japan Elizabeth Bonawitz - Harvard University, USA Gert Westermann - Lancaster Univbersity, UK Michael Goldstein - Cornell University, USA [ Language Development in Humans and Machines ] Xavier Hinaut - Inria & Bordeaux University, France Casey Lew-Williams - Princeton University, USA Daniel Messinger - University of Miami, USA Catherine Laing - University of York, UK [ Developmental Machine Learning and Everyday Inputs ] Karen Adolph - New York University, USA Linda Smith - Indiana University, USA Jochen Triesch - Frankfurt Institute for Advanced Studies, Germany Marvin Lavechin - Ecole Normale Supérieure, France [ Egocentric vision and attention ] John Franchak - University of California, Riverside, USA Kristen Grauman - The University of Texas at Austin, USA Mary Hayhoe - The University of Texas at Austin, USA Jim Rehg - University of Illinois Urbana-Champaign, USA [ Body Representation and Sensorimotor Organization ] Daniela Corbetta - The University of Tennessee, USA Matej Hoffmann - Czech Technical University in Prague, Czech Republic Hoshinori Kanazawa - The University of Tokyo, Japan Peter Marshall - Temple University, USA Website: https://la.utexas.edu/users/dil/ICDL_Austin_2024/ Deadline for 1-page poster abstracts and journal track poster submissions: March 1, 2024 -> March 8, 2024 (extended) Submissions are invited on a range of topics including but not limited to: ● Embodied learning and development in biological systems and robots ● Developmental stages and sensitive periods ● Emergence of verbal and nonverbal communication ● Curiosity, intrinsic motivations, exploration, play and active learning ● Architectures for lifelong learning ● Emergence of body and affordance perception ● Learning control of body movement ● Emotional development and the role of emotion in learning ● Prediction, planning, and problem solving ● The relationship between evolution and development ● Epistemological foundations and philosophical issues ● Robotic and computational models of human and animal development ● Developmentally-inspired machine learning ● Human-robot interaction in developmental contexts ● Applications of machine learning to human and animal development [ 1-page poster abstracts ] To encourage discussion of late-breaking results or for work that is not sufficiently mature for a full paper, we will accept 1-page abstracts. These submissions will not be included in the conference proceedings. Accepted abstracts will be presented during the poster session. [ Journal-track posters ] Journal track poster submissions must be about a journal paper that has been published recently (no earlier than December 2022), on a topic relevant to ICDL. Please see https://la.utexas.edu/users/dil/ICDL_Austin_2024/ for submission details. Best regards, Yukie Nagai, on behalf of the organizing committees — Yukie Nagai, Ph.D. Project Professor, The University of Tokyo nagai.yukie(a)mail.u-tokyo.ac.jp | https://developmental-robotics.jp CREST Cognitive Feelings: https://cognitive-feeling.jp CREST Cognitive Mirroring: https://cognitive-mirroring.org

1 0

Computational and Cognitive Neuroscience Summer School application open!
by Chengcheng Huang 28 Feb '24

28 Feb '24

Applications are open for the 12th Computational and Cognitive Neuroscience Summer School (CCNSS), which will be held from *June 23 to July 14, 2024*, at *Suzhou, China*. Online application: https://www.csh-asia.org/?content/2382 Application deadline: *March 31, 2024* About CCNSS: Designed to emphasize computational principles and neural circuit mechanisms of higher cognitive functions, the course aims at training talented and highly motivated students and postdoctoral fellows from Asia and around the world. We welcome both applicants with quantitative backgrounds (including Physics, Mathematics, Engineering and Computer Science) and those with experimental backgrounds. The lectures will introduce the basic concepts and methods, as well as cutting-edge research on higher brain functions such as decision-making, attention, learning and memory. Modeling will be taught at multiple levels, ranging from single neuron computation and microcircuits up to large-scale brain systems and artificial intelligence and psychiatric disorders. Python-based programming labs coordinated with the lectures will provide practical training in important computational methods. 2024 Faculty: Hannah Choi, Georgia Institute of Technology Robert Desimone, Massachusetts Institute of Technology Alain Destexhe, Centre National de la Recherche Scientifique (CNRS) Tomoki Fukai, Okinawa Institute of Science and Technology Leyla Isik, Johns Hopkins University Máté Lengyel, University of Cambridge Sukbin Lim, New York University, Shanghai Yunzhe Liu, Beijing Normal University Luca Mazzucato, University of Oregon Jorge Mejias, University of Amsterdam Yuanyuan Mi, Tsinghua University Ida Momennajad, Microsoft Research Memming Park, Champalimaud Centre for the Unknown Anqi Wu, Georgia Institute of Technology Organizers: Dora Angelaki, New York University Christopher Honey, Johns Hopkins University Chengcheng Huang, University of Pittsburgh Songting Li, Shanghai Jiao Tong University Xiao-Jing Wang, New York University Guangyu Robert Yang, Massachusetts Institute of Technology Supports: Cold Spring Harbor Asia Simons Foundation -- Dr. Chengcheng Huang Assistant Professor Department of Neuroscience Department of Mathematics University of Pittsburgh

1 0

CAJAL Course on Quantitative Approaches to Behavior and Virtual Reality 2024
by Daniel McNamee 28 Feb '24

28 Feb '24

CAJAL COURSE ON QUANTITATIVE APPROACHES TO BEHAVIOR AND VIRTUAL REALITY 2 - 21 June 2024, Champalimaud Centre for the Unknown, Lisbon, Portugal https://cajal-training.org/on-site/quantitative-approaches-to-behaviour-and… Applications deadline: 4 March 2024 DIRECTORS • Benjamin de Bivort (Harvard University, USA) • Ann Kennedy (Northwestern University, USA) * Giorgio Gilestro (Imperial College London, UK) • Daniel McNamee (Champalimaud Centre for the Unknown, Portugal) Quantitative studies of behaviour are fundamental in our effort to understand brain function and malfunction. Recently, the techniques for studying behaviour, along with those for monitoring and manipulating neural activity, have progressed rapidly. Therefore, we are organizing a summer course to provide promising young scientists with a comprehensive introduction to state-of-the-art techniques in quantitative behavioural methods. This course’s content is complementary to other summer courses that focus on measuring and manipulation neurophysiological processes. Our focus is on methodologies to acquire rich data representations of behavior, dissect them statistically, model their dynamics, and integrate behavioral measurements with other kinds of neurobiological data. To this end, students will 1) fabricate devices for recording the behavior of experimental organisms (including flies, fish, and humans), 2) learn, under the guidance of the scientists developing these methods, the modern tools to analyze behavioral data from these organisms, and 3) in a week-long independent project develop and conduct a behavioral study of their own design, with the support and guidance of the course instructors and teaching assistants. The course is designed for graduate students and postdoctoral fellows from a variety of disciplines, including neuroscience, biology, ethology, computer science, and psychology. Students are expected to have a keen interest and basic background in neurobiology and behavior, as well as some programming experience. A maximum of 20 students will be accepted. Students of any nationality can apply. We specifically encourage applications from researchers who work in the developing world. Stipends are available. Confirmed faculty: Ahmed Al-Hady (Max Planck Institute, Konstanz, Germany) Kristin Branson (Janelia, USA) Andre Brown (Imperial College, UK) Bing Brunton (U Washington, USA) James Cotton (Northwestern, USA) Iain Couzin (Max Planck Institute, Konstanz, Germany) Serena Ding (Max Planck Institute, Konstanz, Germany) Gonzalo de Polavieja (Champalimaud, Portugal) Kim Hoke (Colorado State University, USA) Karla Kaun (Brown University, USA) Kate Laskowski (UC Davis, USA) Zach Mainen (Champalimaud, Portugal) Talmo Pereira (Salk Institute, USA) Nachum Ulanovsky (Weizmann Institute, Israel) (more to be confirmed) Daniel McNamee (co-director, Champalimaud Research)

1 0

Doctoral Student and Young Researcher Awards @ FRCCS 2024 Deadline March 11, 2024
by Hocine Cherifi 28 Feb '24

28 Feb '24

Please consider to contribute to and/or forward to the appropriate groups the following opportunities: *Submission deadline extended: March 11, 2024 (firm deadline)* *DOCTORAL STUDENT AWARD * The Doctoral Student Award is in place to recognize early career contributions. It is awarded to young researchers enrolled in a Ph.D. program. This competition consists in presenting your research in simple terms in a five minutes video to a lay audience. Your presentation should be clear, concise, and convincing. More info: https://iutdijon.u-bourgogne.fr/ccs-france/call-doctoral-student-award/ *YOUNG RESARCHER AWARD * The Young Researcher Award is in place to recognize early career contributions and leadership in research in Complex Systems related fields. It is awarded to young researchers up to *five years* *after* the Ph.D. completion (date of Ph.D. defense) and the deadline of the call for nomination. More info: https://iutdijon.u-bourgogne.fr/ccs-france/call-young-resarcher-award/ Best regards Join us at COMPLEX NETWORKS 2024 <https://www.complexnetworks.org/> *-------------------------* Hocine CHERIFI University of Burgundy Franche-Comté Laboratoire* I*nterdisciplinaire *C*arnot de *B*ourgogne - ICB UMR 6303 CNRS Editor in Chief Plos Complex Systems <https://plos.org/complex-systems-research-journal/#:~:text=PLOS%20Complex%2….> Founding & Adisory Editor Applied Network Science <https://appliednetsci.springeropen.com/> Editorial Board member PLOS One <https://journals.plos.org/plosone/>, IEEE ACCESS <https://ieeeaccess.ieee.org/?http%3A%2F%2Fieeeaccess_ieee_org%2F>, Scientific Reports <https://www.nature.com/srep/>, Journal of Imaging <https://www.mdpi.com/journal/jimaging>, Quality and Quantity <https://www.springer.com/journal/11135/>, Computational Social Networks <https://computationalsocialnetworks.springeropen.com/>, Complex Systems <https://www.complex-systems.com/>

1 0

postdoc in computational neuroscience, Cambridge-Columbia collaboration
by Máté Lengyel 27 Feb '24

27 Feb '24

We have an open postdoc position to work on a collaborative project between Guillaume Hennequin’s group and mine at the Computational and Biological Learning Lab at the University of Cambridge, and Daniel Wolpert's at the Zuckerman Mind Brain Behavior Institute, Columbia University. See details here: https://www.jobs.cam.ac.uk/job/44808/ The closing date for applications is 10th March. Both Guillaume and I will be at Cosyne this week, do not hesitate to reach out if you would like to discuss this position with us. Best wishes, Máté Lengyel -- Professor of Computational Neuroscience Computational and Biological Learning Lab Cambridge University Engineering Department Trumpington Street, Cambridge CB2 1PZ, UK tel: +44 (0)1223 748 532, fax: +44 (0)1223 765 587 email: m.lengyel(a)eng.cam.ac.uk web: lengyellab.org

1 0

Research Fellow in Theoretical Neuroscience (Gatsby Unit)
by Lin, I-Chun 26 Feb '24

26 Feb '24

Closing date: 30-Jun-2024 The Gatsby Unit invites applications for a postdoctoral training fellowship under Dr Agostina Palmigiano, focussed on developing theoretical approaches to investigate the mechanisms underlying sensory, motor or cognitive computations. You will be responsible for the primary execution of the project (with opportunities for co-supervision of students), presentation of results at conferences and seminars, and publication in suitable media. This post is initially funded for 2 years with the possibility of a one-year extension at the end of the period. You should have a strong quantitative background in theoretical neuroscience, machine learning, statistics, computer science, physics or engineering; a record of publication in highly respected journals and conferences and must hold a PhD in a relevant field by the agreed start date of the position. For detailed information on the role and how to apply, please visit http://www.ucl.ac.uk/gatsby/vacancies under 'Research Fellow (Palmigiano group)'. Agostina will also be at COSYNE 2024; please get in touch (a.palmigiano 'at' ucl.ac.uk) to set up informal chats with her if interested! About the Gatsby Unit Established in 1998 through a generous grant from the Gatsby Charitable Foundation, the Gatsby Unit has been a pioneering centre for research in theoretical neuroscience and machine learning. The Unit fosters a highly collaborative and open research culture where regular unit-wide events allow everyone to get involved in everything and be aware of what others are doing. In addition, the Unit provides a unique multidisciplinary research environment with strong links to the Sainsbury Wellcome Centre for Neural Circuits and Behaviour, the ELLIS Unit at UCL, and other neuroscience and machine learning groups at UCL and beyond. -- I-Chun Lin Scientific Programme Manager Gatsby Computational Neuroscience Unit, UCL

1 0

CNeuro2024 summer school in computational neuroscience, Beijing, July 2024
by Rava A. da Silveira 26 Feb '24

26 Feb '24

*CN**EURO**2024* *Theoretical and Computational Neuroscience Summer School* *8 to 15 July 2024 — In person in Beijing, China* *This year: “N**EURAL** C**ODING,** L**EARNING,* *AND **D**ECISION **M* *AKING**”* *www.cneuro.net* <http://www.cneuro.net> *About CNeuro* How intelligence and behavior emerge from complex and intricate interactions within the brain remains a deep and unsolved mystery, central to an exciting area of interdisciplinary research. The past decade has seen rapid progress in experimental tools that now make it possible to monitor and manipulate brain circuits in unprecedented detail. This evolution presents challenges and opportunities for both experimentalists and theorists. Mathematical theory is instrumental in the emergence of theoretical insights and frameworks that can help guide experimental work and identify unifying principles of brain function. The aim of the one-week summer school will be to introduce students with a strong quantitative background (in mathematics, physics, computer science, and engineering) to the emerging field of theoretical and computational neuroscience. The distinguishing feature of CNeuro is the emphasis it places on the role of systematic mathematical theory for understanding the brain, in part by stressing the connections between neuroscience, statistics, machine learning, and artificial intelligence. *Topic and format* This year’s school will explore various facets of neural coding, learning, and decision making, from circuit neuroscience to cognition to artificial intelligence. The course will bring together leading scientists in the field, who will deliver both introductory and advanced lectures, and take part in small-group discussions. Other activities will include homework sessions and student presentations, as well as the now popular ‘Life and Science’ panel series, in which faculty and students can both share their personal experiences and views on research and career. *Faculty* Dmitri (Mitya) Chklovskii (Flatiron Institute) Nathaniel Daw (Princeton University) Pulin Gong (University of Sydney) Vincent Hakim (Ecole Normale Supérieure) Ole Jensen (University of Birmingham) Sukbin Lim (New York University Shanghai) Rubén Moreno Bote (Universitat Pompeu Fabra) Naoshige Uchida (Havard University) Ninglong Xu (Institute of Neuroscience, Shanghai) Tianming Yang (Institute of Neuroscience, Shanghai) Hang Zhang (Peking University) Lusha Zhu (Peking University) *Organizers* Rava Azeredo da Silveira (ENS and IOB) Stella Christie (Tsinghua University) Sen Song (Tsinghua University) Louis Tao (Peking University) Xiaoqin Wang (Johns Hopkins University) Quan Wen (USTC) *Application and deadline* Information and application guidelines at https://www.cneuro.net/cneuro2024. Applications will be reviewed on a rolling basis. We will make every effort to recruit students from diverse backgrounds including all genders and ethnic groups.

1 0