Joe Francis Lab

Posters

- Reinforcement Learning Brain Machine Interface in Macaques

- Correlates of Reward Expectation in the Primary Motor Cortex: Towards Developing an Actor-Critic Model in Macaques for a Brain Machine Interface

- Reinforcement Learning of 2-joint virtual arm reaching in detailed cortex simulation.

- Dopamine-based reinforcement learning of virtual arm reaching task in a spiking model of motor cortex.

- Use of Hybrid torque+position controller towards more realistic movement profiles of neurally controlled devices.

- Modulation of stimulus fields in a computer model of the thalamocortical system.

- Frequency homeostasis in a computer model of neocortex.

- Force Control in a brain machine interface.

- Relationship between neural activity in multiple sensorimotor cortices and force related varioables during primate reaching movements.

- Long-term stability of cortical neural ensemble recordings between different microelectorde array types.

- Comparison study of the long-term stability of cortical neural ensemble recordings between different types of microelectorde arrays.