projects

We are broadly interested in topics on the interface of statistical inference, recurrent neural networks, control theory, and neuroscience.

Current Interests

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Cognitive Underpinnings of Motor Control

Time-Varying Recurrent Neural Network (TV-RNN)
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Social Behavior

Effectively modeling and quantifying social behavior
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Elucidating Principles of Sensorimotor Control

NIH funded project
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Disentangled Multi-subject Behavioral Representations

NSF funded project
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Neural Population Activity Dimensionality Reduction

Interpretable dimensionality reduction of neural population activity.

Past Research

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Speed Control in the Primary Motor Cortex

Computational principles underlying speed control in the primary motor cortex
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Real-time Decoding of Neurally-encoded Signals

Developing algorithms for real-time decoding of neurally-encoded signals, that ensure stability in closed loop.
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Basal Ganglia Neurons in Movement Generation

Investing the role of basal ganglia neurons in movement generation and their modulation due to deep brain stimulation(DBS)
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Sensorimotor Control System Limitations

Fundamental limitations of the sensorimotor control system.