2026-09-18T22:18:51Zhttps://dspace.mit.edu/server/oai/requestoai:dspace.mit.edu:1721.1/270482022-01-13T07:54:29Zcom_1721.1_7582com_1721.1_7581col_1721.1_131023
H. Sebastian Seung.
Levine, Joseph H. (Joseph Henry), 1979-
Massachusetts Institute of Technology. Dept. of Electrical Engineering and Computer Science.
Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
2005-09-06T21:28:37Z
2005-09-06T21:28:37Z
2002
2004
http://hdl.handle.net/1721.1/27048
56795468
Thesis (M. Eng.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, June 2004.
Includes bibliographical references (p. 61).
Short term memory is often correlated with persistent changes in neuronal firing rates in response to transient inputs. This thesis models the persistent maintenance of an analog eye position signal by an oculomotor neural integrator receiving transient eye movement commands. We show analytically how using neurons with multiple bistable dendritic compartments can enhance the robustness of eye fixations to mistuning while reproducing the observed linear relationship between neuronal firing rates and eye position. We calculate the network dynamics and tolerance to mistuning. Finally, we demonstrate that dendritic bistability can improve robustness in a biophysically realistic network of conductance based neurons.
by Joseph H. Levine.
M.Eng.
61 p.
2330332 bytes
2336059 bytes
application/pdf
application/pdf
en_US
Massachusetts Institute of Technology
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
Electrical Engineering and Computer Science.
Friction effects on collective mechanisms of short term memory
Thesis
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<Abstract>Short term memory is often correlated with persistent changes in neuronal firing rates in response to transient inputs. This thesis models the persistent maintenance of an analog eye position signal by an oculomotor neural integrator receiving transient eye movement commands. We show analytically how using neurons with multiple bistable dendritic compartments can enhance the robustness of eye fixations to mistuning while reproducing the observed linear relationship between neuronal firing rates and eye position. We calculate the network dynamics and tolerance to mistuning. Finally, we demonstrate that dendritic bistability can improve robustness in a biophysically realistic network of conductance based neurons.</Abstract>
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