Thomas H. Brown

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EDBT 2026 Demo / reviewers in the wild / expert

dblp:61/777 · 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 · 3 · 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 3 papers		Bioinformatics and computational biology · 100%
Artificial intelligence 2 papers		Representation and self-supervised learning · 100%

Topics — the 5 heaviest of 5, each with the papers that count most for it

Topic	Papers	Last	Evidence papers
Bioinformatics and computational biology computational neuroscience	3	1994	The Electrotonic Transformation: a Tool for Relating Neuronal Form to Function · NIPS 1994 Nonlinear Pattern Separation in Single Hippocampal Neurons with Active Dendritic Membrane · NIPS 1991 Self-organization of Hebbian Synapses in Hippocampal Neurons · NIPS 1990
Bioinformatics and computational biology › computational neuroscience dendritic computation	2	1994	Nonlinear Pattern Separation in Single Hippocampal Neurons with Active Dendritic Membrane · NIPS 1991 The Electrotonic Transformation: a Tool for Relating Neuronal Form to Function · NIPS 1994
Machine learning › Representation and self-supervised learning › computational neuroscience neural coding	1	1991	Nonlinear Pattern Separation in Single Hippocampal Neurons with Active Dendritic Membrane · NIPS 1991
Bioinformatics and computational biology › computational neuroscience synaptic plasticity	1	1990	Self-organization of Hebbian Synapses in Hippocampal Neurons · NIPS 1990
Machine learning › Representation and self-supervised learning hebbian learning	1	1990	Self-organization of Hebbian Synapses in Hippocampal Neurons · NIPS 1990

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

compartmental neuron model · 0.0voltage attenuation · 0.0logarithmic distance metric · 0.0

Year	Publication	Venue	Position
1994	The Electrotonic Transformation: a Tool for Relating Neuronal Form to Function abstract The spatial distribution and time course of electrical signals in neurons have important theoretical and practical consequences. Because it is difficult to infer how neuronal form affects electrical signaling, we have developed a quantitative yet intuitive approach to the analysis of electrotonus. This approach transforms the architecture of the cell from anatomical to electrotonic space, using the logarithm of voltage attenuation as the distance metric. We describe the theory behind this approach and illustrate its use. Nicholas T. Carnevale, Kenneth Y. Tsai, Brenda J. Claiborne, Thomas H. Brown	NIPS	4
1991	Nonlinear Pattern Separation in Single Hippocampal Neurons with Active Dendritic Membrane Anthony M. Zador, Brenda J. Claiborne, Thomas H. Brown	NIPS	3
1990	Self-organization of Hebbian Synapses in Hippocampal Neurons Thomas H. Brown, Zachary F. Mainen, Anthony M. Zador, Brenda J. Claiborne	NIPS	1