Yash Mehta
@yashsmehta.bsky.social
Cognitive Science PhD student, Johns Hopkins 🧠
Previously: HHMI Janelia 🇺🇸, AutoML Lab 🇩🇪, Gatsby Unit UCL 🇬🇧
www.yashsmehta.com 🇮🇳
Previously: HHMI Janelia 🇺🇸, AutoML Lab 🇩🇪, Gatsby Unit UCL 🇬🇧
www.yashsmehta.com 🇮🇳
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Yash Mehta
@yashsmehta.bsky.social
· Nov 18
🚀 Excited to share our paper has been accepted at #NeurIPS! 🎉 We developed a deep learning framework that infers local learning algorithms in the brain by fitting behavioral or neural activity trajectories during learning. We validate on synthetic data and tested on 🪰 behavioral data (1/5 🧵)
🚀 Excited to share our paper has been accepted at #NeurIPS! 🎉 We developed a deep learning framework that infers local learning algorithms in the brain by fitting behavioral or neural activity trajectories during learning. We validate on synthetic data and tested on 🪰 behavioral data (1/5 🧵)
November 18, 2024 at 6:18 PM
🚀 Excited to share our paper has been accepted at #NeurIPS! 🎉 We developed a deep learning framework that infers local learning algorithms in the brain by fitting behavioral or neural activity trajectories during learning. We validate on synthetic data and tested on 🪰 behavioral data (1/5 🧵)
Reposted by Yash Mehta
Interesting approach to estimate the physiological update rules of synapses: yashsmehta.com/plasticity-p...
NeurIPS 2024: Model-Based Inference of Synaptic Plasticity Rules
Inferring the synaptic plasticity rules that govern learning in the brain is a key challenge in neuroscience. We present a novel computational method to infer these rules from experimental data, appli...
yashsmehta.com
November 18, 2024 at 1:53 PM
Interesting approach to estimate the physiological update rules of synapses: yashsmehta.com/plasticity-p...