activity
20242026
most citedNeural Encoding and Decoding at Scale

3 citations · 5 across the 4 of their papers we have counts for

collaborators

7 papers

cs.LG2026

BrainWideBench: Benchmarking large-scale pretraining and across-animal transfer in multi-region neural recordings

Alexandre Andre, Shivashriganesh P. Mahato, Vinam Arora +39

Advances in large-scale neural recording have made it possible to collect data across many animals and distributed brain regions, raising the question of whether this scale can be…

cs.LG2025

Know Thyself by Knowing Others: Learning Neuron Identity from Population Context

Vinam Arora, Divyansha Lachi, Ian J. Knight +5

Neurons process information in ways that depend on their cell type, connectivity, and the brain region in which they are embedded. However, inferring these factors from neural acti…

q-bio.NC2025

Inpainting the Neural Picture: Inferring Unrecorded Brain Area Dynamics from Multi-Animal Datasets

Ji Xia, Yizi Zhang, Shuqi Wang +4

Characterizing interactions between brain areas is a fundamental goal of systems neuroscience. While such analyses are possible when areas are recorded simultaneously, it is rare t…

cs.CV2025

An uncertainty-aware framework for data-efficient multi-view animal pose estimation

Lenny Aharon, Keemin Lee, Karan Sikka +4

Multi-view pose estimation is essential for quantifying animal behavior in scientific research, yet current methods struggle to achieve accurate tracking with limited labeled data…

q-bio.NC2025

Animal behavioral analysis and neural encoding with transformer-based self-supervised pretraining

Yanchen Wang, Han Yu, Ari Blau +5

The brain can only be fully understood through the lens of the behavior it generates -- a guiding principle in modern neuroscience research that nevertheless presents significant t…

q-bio.NC2025★ 3 cited

Neural Encoding and Decoding at Scale

Yizi Zhang, Yanchen Wang, Mehdi Azabou +7

Recent work has demonstrated that large-scale, multi-animal models are powerful tools for characterizing the relationship between neural activity and behavior. Current large-scale…

q-bio.NC2024★ 2 cited

Towards a "universal translator" for neural dynamics at single-cell, single-spike resolution

Yizi Zhang, Yanchen Wang, Donato Jimenez-Beneto +8

Neuroscience research has made immense progress over the last decade, but our understanding of the brain remains fragmented and piecemeal: the dream of probing an arbitrary brain r…