Lakshmi Govindarajan
@lakshming92
Wandering somewhere in the fuzzy intersection between math, computer science, and neuroscience!
Interested in the attentional drift diffusion model (or any generalized DDM with arbitrary changes in drift rates within the trial)? Here is a new method that is fast, efficient and accurate arxiv.org/abs/2503.18381
At UniReps today: Gasser Elbanna's poster "Artificial Neural Networks Generate Human-like Continuous Speech Perception". West Exhibition Hall C, B3. Gasser built models of phoneme recognition, and finds that they replicate human confusions pretty well.
The UniReps Workshop is happening THIS SATURDAY at #NeurIPS! 🤖🧠 Join us for a day of insightful talks and engaging discussions with @s_y_chung, @phillip_isola, @NeelNanda5, @ermgrant, @leavittron, @ItsNeuronal, Marco Cuturi and Stefanie Jegelka! 🎤 Check out the full…
New paper from our lab, by Mark Saddler, using machine learning to test the role of temporal coding in hearing. Here is a quick summary. (1/n) nature.com/articles/s4146… @mitbcs @mcgovernmit @MIT_CBMM @ScienceMIT
Our work on mental simulation in monkeys and RNNs just got published! This was a fantastic collaboration between the Sheinberg lab and @TheresasTree on the experimental side and our group, with @alekhka leading the computational work. Funded in part by a Zimmerman Innovation…
We just wrote a primer on how the physics of sound constrains auditory perception: authors.elsevier.com/a/1jzSR3QW8S6E… Covers sound propagation and object interactions, and touches on their relevance to music and film. I enjoyed working on this with @vin_agarwal and James Traer.
Applications are invited to participate in the Brains, Minds and Machines summer school [08/04/2024 -- 08/25/2024] in Woods Hole, MA. Deadline = 03/20/2024. More information here: klab.tch.harvard.edu/academia/class….
We are super excited about this! Quantifying dynamics in vision RNNs is hard. Doing that at scale is a bigger challenge but we show that it's totally worth it! 🎉
✨NEW PREPRINT✨ Visual cognition in the brain is dynamic. Time to consider time 🥁 in models! We present a novel human-like reaction time metric computed from stable recurrent vision models and study 𝘵𝘦𝘮𝘱𝘰𝘳𝘢𝘭 human-model alignment. Read on…🤓 arxiv.org/abs/2306.11582 1/n
✨NEW PREPRINT✨ Visual cognition in the brain is dynamic. Time to consider time 🥁 in models! We present a novel human-like reaction time metric computed from stable recurrent vision models and study 𝘵𝘦𝘮𝘱𝘰𝘳𝘢𝘭 human-model alignment. Read on…🤓 arxiv.org/abs/2306.11582 1/n
Excited to share a new preprint with @apaxon, @kazuhi_s_ & @BadreLab : “A Transient High-dimensional Geometry Affords Stable Conjunctive Subspaces for Efficient Action Selection”
A Transient High-dimensional Geometry Affords Stable Conjunctive Subspaces for Efficient Action Selection biorxiv.org/cgi/content/sh… #bioRxiv
Brains, Minds and Machines Summer Course 2023 MBL, Woods Hole, MA. August 4 – August 25, 2023 Application deadline: April 19, 2023 mbl.edu/education/cour…
📣 We're hiring! Join the Openmind Engineering Team and work with world-class neuroscientists on solving the most challenging problems at the intersection of brain science and artificial intelligence. Learn more: mcgovern.science/3ZBJ8Ch