Bin Min

This paper presents a dataset of neural and kinematic recordings from a macaque performing complex hand-object interactions, showing variation in decoding performance across algorithms and channel availability.

This paper introduces a factor-centric RNN framework to uncover interpretable circuit mechanisms in higher cognition, identifying novel mechanisms in working memory and decision-making.

This paper introduces a method to infer neural computation mechanisms from recordings by decomposing dynamics into gain and connectivity components, revealing coexisting selection mechanisms in decision-making tasks.

This paper investigates context-dependent selection mechanisms using low-rank neural network modeling to distinguish between input modulation and selection vector modulation.

This paper introduces a simple rank-one neural network model that replicates diverse integration kernels in human decision-making tasks and offers insights into neural circuit dynamics.

The paper investigates categorical perception in non-human primates using behavioral data and a neural circuit model to demonstrate top-down signaling in the cortex.