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Steven L. Armentrout

dblp:82/4371 · DBLP profile ↗
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3ranked-venue papers
1as first author
0since 2021 · last 1994
—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Artificial intelligence and machine learning · 2 · 1 first-authorApplied, interdisciplinary, general and emerging computing · 1

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Computer architecture, parallel and distributed computing, and storage systems
1 paper
Emerging computing paradigms · 100%

Topics — the 2 heaviest of 2, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Emerging computing paradigms
cellular automata
0.011993
Minimizing Complexity in Cellular Automata Models of Self-Replication · ISMB 1993
Emerging computing paradigms › cellular automata
self-replication
0.011993
Minimizing Complexity in Cellular Automata Models of Self-Replication · ISMB 1993

Methods — techniques the papers use, named apart from their topics

cellular automata · 0.0
YearPublicationVenuePosition
1994 A neural model of cortical map reorganization following a focal lesion
Steven L. Armentrout, James A. Reggia, Michael Weinrich
Artif. Intell. Medicine1
1994 Cortical Map Reorganization as a Competitive Process
abstract
Past models of somatosensory cortex have successfully demonstrated map formation and subsequent map reorganization following localized repetitive stimuli or deafferentation. They provide an impressive demonstration that fairly simple assumptions about cortical connectivity and synaptic plasticity can account for several observations concerning cortical maps. However, past models have not successfully demonstrated spontaneous map reorganization following cortical lesions. Recently, an assumption universally used in these and other cortex models, that peristimulus inhibition is due solely to horizontal intracortical inhibitory connections, has been questioned and an additional mechanism, the competitive distribution of activity, has been proposed. We implemented a computational model of somatosensory cortex based on competitive distribution of activity. This model exhibits spontaneous map reorganization in response to a cortical lesion, going through a two-phase reorganization process. These results make a testable prediction that can be used to experimentally support or refute part of the competitive distribution hypothesis, and may lead to practically useful computational models of recovery following stroke.
Granger G. Sutton III, James A. Reggia, Steven L. Armentrout, C. Lynne D'Autrechy
Neural Comput.3
1993 Minimizing Complexity in Cellular Automata Models of Self-Replication
James A. Reggia, Hui-Hsien Chou, Steven L. Armentrout, Yun Peng 0001
ISMB3