W. Geoffrey Owen

dblp:23/671 · DBLP profile ↗
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3ranked-venue papers
1as first author
0since 2021 · last 1990
—ORCID · none

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

Human-computer interaction and ubiquitous computing · 2 · 1 first-authorArtificial intelligence and machine learning · 1Applied, interdisciplinary, general and emerging computing · 1 · 1 first-author

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.

Interdisciplinary, comprehensive, and emerging computing
1 paper
Bioinformatics and computational biology · 100%

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

TopicWeightPapersLastEvidence papers
Bioinformatics and computational biology
computational neuroscience
0.011990
Optimal Filtering in the Salamander Retina · NIPS 1990
Bioinformatics and computational biology › computational neuroscience › neural coding
sensory coding
0.011990
Optimal Filtering in the Salamander Retina · NIPS 1990

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

optimal filtering · 0.0
YearPublicationVenuePosition
1990 Optimal Filtering in the Salamander Retina
Fred Rieke, W. Geoffrey Owen, William Bialek
NIPS2
1989 The role of the bipolar cell in retinal signal processing
abstract
Bipolar cells in the retina of the tiger salamander were studied by intracellular recording. Their receptive fields consisted of a central region and a surround which, when stimulated, antagonized the response of the center. The spatial distributions of the center and surround components were determined, using drugs that selectively eliminated the surround. The receptive field is shown to be a linear combination of the two components. Because of the spatial antagonism the receptive field acts as a bandpass spatial filter. The importance of this filtering in photon detection is discussed.>
W. Geoffrey Owen, William A. Hare, Angela Wang
SMC1
1983 The dynamics of electrically interacting cells
abstract
Interaction between nerve cells, mediated by electrical coupling, is a common feature of the nervous system. When such electrical interactions occur within an entire population of similar neurons, the dynamic behavior of each individual cell is influenced by the properties of the whole network. It is shown that when the membrane impedance of such cells can be linearized to a satisfactory approximation and the zeros and poles of the linearized impedance are known, analytical solutions to the network equations can be found that describe the dynamics of the responses of any given cell to one-dimensional and two-dimensional stimuli. This analysis applied to the network of photoreceptors and horizontal cells in the vertebrate retina may be helpful in understanding the initial stages in the processing of visual information.
Vincent Torre, W. Geoffrey Owen, Giulio Sandini
IEEE Trans. Syst. Man Cybern.2