1 citations · 1 across the 5 of their papers we have counts for
8 papers
NeuroLens: Learning Latent Embeddings of Neural Semantics from Chronic Recordings
Hanrui Lyu, Baiyuan Chen, Tianshu Tan +8
Understanding how neural activity represents higher-order cognition and how these representations evolve over time has long been a central pursuit in neuroscience. However, current…
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…
BEAST3D: Animal behavioral analysis and neural encoding from multi-view video via Gaussian splatting
Yanchen Wang, Lenny Aharon, Wangshu Zhu +7
Multi-view video recordings are increasingly used to capture the 3D movements of animals in experimental settings, yet extracting rich 3D representations from these recordings rema…
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…
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…
A study of animal action segmentation algorithms across supervised, unsupervised, and semi-supervised learning paradigms
Ari Blau, Evan S Schaffer, Neeli Mishra +4
Action segmentation of behavioral videos is the process of labeling each frame as belonging to one or more discrete classes, and is a crucial component of many studies that investi…
Characterizing the nonlinear structure of shared variability in cortical neuron populations using latent variable models
Matthew R Whiteway, Karolina Socha, Vincent Bonin +1
Sensory neurons often have variable responses to repeated presentations of the same stimulus, which can significantly degrade the stimulus information contained in those responses.…