Data-driven models for control of biomechanical bodies
Closed-loop neural controllers with biologically grounded sensory feedback for realistic locomotion in Drosophila.
Research by Tag
behavior
Role of perceptual uncertainty in reward-driven learning
Computational signatures of reinforcement learning when state inference is uncertain due to noisy perception.
Data-driven discovery of shared latent dynamics
Identifying nonlinear dynamics from data, and aligning neural population activity across sessions.
biomechanics
Data-driven models for control of biomechanical bodies
Closed-loop neural controllers with biologically grounded sensory feedback for realistic locomotion in Drosophila.
brain-computer-interfaces
Dynamical constraints on learning
How feedback, intrinsic dynamics, and controllability constrain learning timescales for fast adaptation.
cerebellum
Population dynamics in the cerebellar cortex
Network structure shapes inhibitory network dynamics and representational transformations across cerebellar circuits.
data-driven
Role of perceptual uncertainty in reward-driven learning
Computational signatures of reinforcement learning when state inference is uncertain due to noisy perception.
Data-driven discovery of shared latent dynamics
Identifying nonlinear dynamics from data, and aligning neural population activity across sessions.
decision-making
Role of perceptual uncertainty in reward-driven learning
Computational signatures of reinforcement learning when state inference is uncertain due to noisy perception.
Data-driven discovery of shared latent dynamics
Identifying nonlinear dynamics from data, and aligning neural population activity across sessions.
fast-learning
Learning without plasticity
Fast adaptation via input-driven reorganization of dynamics, contextual inference, and flexible inter-area associations.
Data-driven discovery of shared latent dynamics
Identifying nonlinear dynamics from data, and aligning neural population activity across sessions.
imitation-learning
Data-driven models for control of biomechanical bodies
Closed-loop neural controllers with biologically grounded sensory feedback for realistic locomotion in Drosophila.
inhibitory-networks
Population dynamics in the cerebellar cortex
Network structure shapes inhibitory network dynamics and representational transformations across cerebellar circuits.
latent-variable-models
Data-driven discovery of shared latent dynamics
Identifying nonlinear dynamics from data, and aligning neural population activity across sessions.
motor-learning
Dynamical constraints on learning
How feedback, intrinsic dynamics, and controllability constrain learning timescales for fast adaptation.
multi-region
Dynamical constraints on learning
How feedback, intrinsic dynamics, and controllability constrain learning timescales for fast adaptation.
Learning without plasticity
Fast adaptation via input-driven reorganization of dynamics, contextual inference, and flexible inter-area associations.
neural-dynamics
Dynamical constraints on learning
How feedback, intrinsic dynamics, and controllability constrain learning timescales for fast adaptation.
Learning without plasticity
Fast adaptation via input-driven reorganization of dynamics, contextual inference, and flexible inter-area associations.
Data-driven discovery of shared latent dynamics
Identifying nonlinear dynamics from data, and aligning neural population activity across sessions.
population-dynamics
Population dynamics in the cerebellar cortex
Network structure shapes inhibitory network dynamics and representational transformations across cerebellar circuits.
recurrent-neural-networks
Dynamical constraints on learning
How feedback, intrinsic dynamics, and controllability constrain learning timescales for fast adaptation.
reinforcement-learning
Role of perceptual uncertainty in reward-driven learning
Computational signatures of reinforcement learning when state inference is uncertain due to noisy perception.
sensory-feedback
Data-driven models for control of biomechanical bodies
Closed-loop neural controllers with biologically grounded sensory feedback for realistic locomotion in Drosophila.
Dynamical constraints on learning
How feedback, intrinsic dynamics, and controllability constrain learning timescales for fast adaptation.
theory
Dynamical constraints on learning
How feedback, intrinsic dynamics, and controllability constrain learning timescales for fast adaptation.
Learning without plasticity
Fast adaptation via input-driven reorganization of dynamics, contextual inference, and flexible inter-area associations.
two-photon-imaging
Population dynamics in the cerebellar cortex
Network structure shapes inhibitory network dynamics and representational transformations across cerebellar circuits.
uncertainty
Role of perceptual uncertainty in reward-driven learning
Computational signatures of reinforcement learning when state inference is uncertain due to noisy perception.