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Joseph T. Francis

Researcher at University of Houston

Publications -  109
Citations -  2498

Joseph T. Francis is an academic researcher from University of Houston. The author has contributed to research in topics: Reinforcement learning & Microstimulation. The author has an hindex of 23, co-authored 109 publications receiving 2187 citations. Previous affiliations of Joseph T. Francis include George Washington University & New York University.

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Quantifying Generalization from Trial-by-Trial Behavior of Adaptive Systems that Learn with Basis Functions: Theory and Experiments in Human Motor Control

TL;DR: It is suggested that basis elements representing the internal model of dynamics are sensitive to limb velocity with bimodal tuning; however, it is also possible that during adaptation the error metric itself adapts, which affects the implied shape of the basis elements.
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Sensitivity of Neurons to Weak Electric Fields

TL;DR: The first experimental confirmation that neuronal networks are detectably sensitive to submillivolt per millimeter electrical fields is provided, and it is demonstrated that these networks are more sensitive than the average single neuron threshold to field modulation.
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Early seizure detection.

TL;DR: All the methods described here were successful in detecting changes leading to a seizure between one and two minutes before the first changes noted by the neurologist, although analysis of phase correlation proved the most robust.
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Periodic orbits: a new language for neuronal dynamics.

TL;DR: A new nonlinear dynamical analysis is applied to complex behavior from neuronal systems using a hierarchy of "unstable periodic orbits" (UPOs) to find a novel alternative method of decoding, predicting, and controlling these neuronal systems.
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Toward an Autonomous Brain Machine Interface: Integrating Sensorimotor Reward Modulation and Reinforcement Learning

TL;DR: It is demonstrated that single units/multiunits and local field potentials in the primary motor (M1) cortex of nonhuman primates (Macaca radiata) are modulated by reward expectation during reaching movements and that this modulation is present even while subjects passively view cursor motions that are predictive of either reward or nonreward.