From thought to action

Thesis (Ph. D.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2006.

Bibliographic Details
Main Author: Srinivasan, Lakshminarayan, 1981-
Other Authors: Emery N. Brown and Sanjoy K. Mitter.
Format: Thesis
Language:eng
Published: Massachusetts Institute of Technology 2007
Subjects:
Online Access:http://hdl.handle.net/1721.1/38318
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author Srinivasan, Lakshminarayan, 1981-
author2 Emery N. Brown and Sanjoy K. Mitter.
author_facet Emery N. Brown and Sanjoy K. Mitter.
Srinivasan, Lakshminarayan, 1981-
author_sort Srinivasan, Lakshminarayan, 1981-
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description Thesis (Ph. D.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2006.
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spelling mit-1721.1/383182019-04-10T20:11:38Z From thought to action Srinivasan, Lakshminarayan, 1981- Emery N. Brown and Sanjoy K. Mitter. Massachusetts Institute of Technology. Dept. of Electrical Engineering and Computer Science. Massachusetts Institute of Technology. Dept. of Electrical Engineering and Computer Science. Electrical Engineering and Computer Science. Thesis (Ph. D.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2006. Includes bibliographical references. Systems engineering is rapidly assuming a prominent role in neuroscience that could unify scientific theories, experimental evidence, and medical development. In this three-part work, I study the neural representation of targets before reaching movements and the generation of prosthetic control signals through stochastic modeling and estimation. In the first part, I show that temporal and history dependence contributes to the representation of targets in the ensemble spiking activity of neurons in primate dorsal premotor cortex (PMd). Point process modeling of target representation suggests that local and possibly also distant neural interactions influence the spiking patterns observed in PMd. In the second part, I draw on results from surveillance theory to reconstruct reaching movements from neural activity related to the desired target and the path to that target. This approach combines movement planning and execution to surpass estimation with either target or path related neural activity alone. In the third part, I describe the principled design of brain-driven neural prosthetic devices as a filtering problem on interacting discrete and continuous random processes. This framework subsumes four canonical Bayesian approaches and supports emerging applications to neural prosthetic devices. (cont.) Results of a simulated reaching task predict that the method outperforms previous approaches in the control of arm position and velocity based on trajectory and endpoint mean squared error. These results form the starting point for a systems engineering approach to the design and interpretation of neuroscience experiments that can guide the development of technology for human-computer interaction and medical treatment. by Lakshminarayan Srinivasan. Ph.D. 2007-08-03T18:29:31Z 2007-08-03T18:29:31Z 2006 2006 Thesis http://hdl.handle.net/1721.1/38318 154316179 eng M.I.T. theses are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission. See provided URL for inquiries about permission. http://dspace.mit.edu/handle/1721.1/7582 146 leaves application/pdf Massachusetts Institute of Technology
spellingShingle Electrical Engineering and Computer Science.
Srinivasan, Lakshminarayan, 1981-
From thought to action
title From thought to action
title_full From thought to action
title_fullStr From thought to action
title_full_unstemmed From thought to action
title_short From thought to action
title_sort from thought to action
topic Electrical Engineering and Computer Science.
url http://hdl.handle.net/1721.1/38318
work_keys_str_mv AT srinivasanlakshminarayan1981 fromthoughttoaction