3 citations · 6 across the 7 of their papers we have counts for
10 papers
Sparse-View Interpretable 3D Animal Behavior Representations for Neural Encoding and Decoding
Xinming Dai, Qihang Jin, Tianshu Tan +8
A deeper understanding of brain function requires a precise, structured characterization of behavior. Yet, extracting behavioral representations from video in a form suitable for s…
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…
A cross-species neural foundation model for end-to-end speech decoding
Yizi Zhang, Linyang He, Chaofei Fan +9
Speech brain-computer interfaces (BCIs) aim to restore communication for people with paralysis by translating neural activity into text. Most systems use cascaded frameworks that d…
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…
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…
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…
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…
TimeInf: Time Series Data Contribution via Influence Functions
Yizi Zhang, Jingyan Shen, Xiaoxue Xiong +1
Evaluating the contribution of individual data points to a model's prediction is critical for interpreting model predictions and improving model performance. Existing data contribu…
Motion-Invariant Variational Auto-Encoding of Brain Structural Connectomes
Yizi Zhang, Meimei Liu, Zhengwu Zhang +1
Mapping of human brain structural connectomes via diffusion MRI offers a unique opportunity to understand brain structural connectivity and relate it to various human traits, such…
Exploration-Exploitation Motivated Variational Auto-Encoder for Recommender Systems
Yizi Zhang, Meimei Liu
Recent years have witnessed rapid developments on collaborative filtering techniques for improving the performance of recommender systems due to the growing need of companies to he…