ICML Poster Algorithm Development in Neural Networks: Insights from the Streaming Parity TaskICML 2025
Excited to share new work @icmlconf.bsky.social by Loek van Rossem exploring the development of computational algorithms in recurrent neural networks.
Hear it live tomorrow, Oral 1D, Tues 15 Jul West Exhibition Hall C: icml.cc/virtual/2025...
Paper: openreview.net/forum?id=3go...
(1/11)
14.07.2025 21:25 β π 39 π 11 π¬ 1 π 1
1/7: Super excited to share our new paper! This one should be of interest to neuroscientists and deep learning theory folks. This paper was a collaboration with Alexandre Payeur, @averyryoo.bsky.social, Thomas Jiralerspong, @mattperich.bsky.social, Luca Mazzucato, @glajoie.bsky.social
25.03.2025 15:59 β π 68 π 14 π¬ 6 π 2
Super excited about our 2-day @cosynemeeting.bsky.social workshop on learning that pays tribute to the diversity of timescales, teaching signals and circuits that work together to shape adaptive behaviors, and where we hope to bridge insights from behavior, dynamics, and learning rules! #cosyne2025
25.03.2025 01:42 β π 18 π 9 π¬ 1 π 2
Individual variability of neural computations underlying flexible decisions - Nature
Behavioural experiments to study decision-making in response to context-dependent accumulation of evidence provide testable models that are consistent with the heterogeneity in neural signatures among...
1/7 Our paper on individual variability in decision-making is finally out in @nature.com! Inspired by the classic work by Mante and Sussillo, we trained many rats to solve context-dependent decision-making, and we found that different brains use different neural mechanisms to solve the same task!
21.03.2025 13:28 β π 238 π 86 π¬ 6 π 5
congrats amy!
18.02.2025 16:35 β π 1 π 0 π¬ 0 π 0
The first preprint of my postdoc with @dudman.bsky.social is now online! Here we wanted to understand the algorithms mice use when learning to forage in large environments with many potential resources. www.biorxiv.org/content/10.1...
07.11.2024 16:24 β π 99 π 31 π¬ 6 π 5
i like generative models, science, and Toronto sports teams
phd @ mila/udem, prev. @ uwaterloo
averyryoo.github.io π¨π¦π°π·
theoretical neuro, vision, ml. phding @ uc berkeley. music, muay thai.
neural computation: https://www.dissonances.blog/p/neural-computation
Math, Neuroscience, AI. PhD candidate at Mila and University of Montreal; also writes music and dreams of post-growth economies π§ πͺ΄π΅πΈ Website: https://computationalcognition.ca/author/
Researcher in machine learning and computer vision for science. Senior Group Leader at HHMI Janelia Research Campus. Supporter of DEIB in science and tech. CV: https://bit.ly/BransonCV
Assistant Professor, Psychology & Data Science @ NYU | Working on brains & climate (separately) | Author of "Models of the Mind: How physics, engineering, and mathematics have shaped our understanding of the brain" http://tinyurl.com/h9dn4bw7
Neuroscientist at the Allen Institute for Neural Dynamics | UW NBio | prev: Champaliamud & UCSD
Neuroscientist. Professor at Harvard University.
Studies the neural mechanisms underlying decision-making and learning. Dopamine.
Assistant Professor at Gatech CSE. Comp neuro + Machine learning.
Neuroscientist curious to unravel how neurons learn from one another. McGill / Hopkins / HMS / NYU / McGill
https://www.tritschlab.org/
UCL prof, not big on social media
Neuroscientist at The Sainsbury Wellcome Centre, UCL, in London. Leading the "Learning, Inference & Memory" laboratory. Accidental advocate of #longcovid
https://www.lim.bio/
The funder-researcher collaboration and open-access publisher for research in the life and biomedical sciences.
Follow @eLifeCommunity.bsky.social
Scientist @AllenInstitute for Neural Dynamics interested in the organization of neuronal variability
Neuroscientist at #Columbia University | #HHMIFHS | Mom & Beau studying parents and offspring | Science that serves humanity.
β’PhD student @ https://www.ucl.ac.uk/gatsby π§ π»
β’Masters Theoretical Physics UoM|UCLAπͺ
β’Intern @zuckermanbrain.bsky.social|
@SapienzaRoma | @CERN | @EPFL
https://linktr.ee/Clementine_Domine
PhD candidate @ColumbiaNeuro @cu_neurotheory with Ashok Litwin-Kumar modeling learning in drosophila. syncrostone.github.io
Formerly with @johndmurray @YaleCompsci and @GJEHennequin @Cambridge_Uni. Migrating from @syncrostone on the other place.
Neuroscientist studying information seeking and curiosity via mouse models in the Axel lab at Columbia University. Formerly at Vosshall Lab at Rockefeller University. Mom in Brooklyn, former S Carolinian www.jenniferbussell.org
Neuro + AI Research Scientist at DeepMind; Affiliate Professor at Columbia Center for Theoretical Neuroscience.
Likes studying learning+memory, hippocampi, and other things brains have and do, too.
she/her.
Neuroscientist at Columbia studying the influence of our social environment on our emotions | NIGMS MOSAIC K99/R00 Scholar | ISFS Fellow | PhD in Affective Pain at Duke | Latina