2026 William B. Levy: Neuroscience Researcher – H-Index, Publications & Awards

Discipline name	D-Index	World Ranking	Current World Ranking	National Ranking	Current National Ranking	Publications	Citations
Neuroscience	49	5936	5463	2604	2351	170	10102

Discipline name

D-Index

World Ranking

Current World Ranking

National Ranking

Current National Ranking

Publications

Citations

Neuroscience

5936

5463

2604

2351

170

10102

Overview

William B. Levy is affiliated with the University of Virginia in the United States. Their research is primarily situated at the intersection of neuroscience and engineering, focusing on understanding the computational and energetic mechanisms underlying brain function.

Levy's work spans multiple fields of study, including:

Neuroscience
Engineering

Their investigations are further specialized within several subfields such as:

Cognitive Neuroscience
Electrical and Electronic Engineering
Cellular and Molecular Neuroscience
Artificial Intelligence
Computational Theory and Mathematics

William B. Levy's research covers a range of topics related to brain function and computing, including:

Neural dynamics and brain function
Advanced Memory and Neural Computing
Functional Brain Connectivity Studies
Neural Networks and Reservoir Computing
Neuroscience and Neural Engineering
Neuroscience and Neuropharmacology Research
Quantum-Dot Cellular Automata

The scientist's publication record includes recent papers such as:

Communication consumes 35 times more energy than computation in the human cortex, but both costs are needed to predict synapse number (2021, Proceedings of the National Academy of Sciences)
Roadmap for unconventional computing with nanotechnology (2024, Nano Futures)
Roadmap for Unconventional Computing with Nanotechnology (2023, arXiv (Cornell University))
Computation in the human cerebral cortex uses less than 0.2 watts yet this great expense is optimal when considering communication costs (2020, bioRxiv (Cold Spring Harbor Laboratory))
Growing dendrites enhance a neuron's computational power and memory capacity (2023, Neural Networks)

Their frequent co-authors include:

Victoria Calvert
C. Panagopoulos
Robert A. Baxter
Giovanni Finocchio
Jean Anne C. Incorvia

Levy's research is often published in venues such as:

arXiv (Cornell University)
bioRxiv (Cold Spring Harbor Laboratory)
Proceedings of the National Academy of Sciences
Nano Futures
Neural Networks

Best Publications

Temporal contiguity requirements for long-term associative potentiation/depression in the hippocampus

W.B. Levy;O. Steward

958
Citations
Preferential localization of polyribosomes under the base of dendritic spines in granule cells of the dentate gyrus

O Steward;WB Levy

831
Citations
Synapses as associative memory elements in the hippocampal formation

William B. Levy;Oswald Steward

791
Citations
Energy efficient neural codes

William B. Levy;Robert A. Baxter

649
Citations
A sequence predicting CA3 is a flexible associator that learns and uses context to solve hippocampal‐like tasks

William B Levy

555
Citations
Synaptic correlates of associative potentiation/depression: an ultrastructural study in the hippocampus.

Nancy L. Desmond;William B. Levy

389
Citations
A computational approach to hippocampal function

William B Levy

313
Citations
Changes in the numerical density of synaptic contacts with long-term potentiation in the hippocampal dentate gyrus

Nancy L. Desmond;William B. Levy

301
Citations
Changes in the postsynaptic density with long-term potentiation in the dentate gyrus.

Nancy L. Desmond;William B. Levy

293
Citations
Energy-Efficient Neuronal Computation via Quantal Synaptic Failures

William B Levy;Robert A. Baxter;Robert A. Baxter

234
Citations
Granule cell dendritic spine density in the rat hippocampus varies with spine shape and location.

Nancy L. Desmond;William B. Levy

191
Citations
Electrophysiological and pharmacological characterization of perforant path synapses in CA1: mediation by glutamate receptors.

Unknown

170
Citations
Synaptic interface surface area increases with long-term potentiation in the hippocampal dentate gyrus.

Nancy L. Desmond;William B. Levy

164
Citations
A quantitative anatomical study of the granule cell dendritic fields of the rat dentate gyrus using a novel probabilistic method.

Nancy L. Desmond;William B. Levy

159
Citations
Insights into associative long-term potentiation from computational models of NMDA receptor-mediated calcium influx and intracellular calcium concentration changes.

Unknown

159
Citations
Morphological correlates of long-term potentiation imply the modification of existing synapses, not synaptogenesis, in the hippocampal dentate gyrus.

Nancy L. Desmond;William B. Levy

150
Citations
Stimulus-Coupled Secretion of γ-Aminobutyric Acid from Rat Brain Synaptosomes

William B. Levy;Dianna A. Redburn;Carl W. Cotman

143
Citations
Relational learning with and without awareness: Transitive inference using nonverbal stimuli in humans

Anthony J. Greene;Barbara A. Spellman;Jeffery A. Dusek;Howard B. Eichenbaum

131
Citations
When logic fails: implicit transitive inference in humans.

Michael J. Frank;Jerry W. Rudy;William B. Levy;Randall C. O’Reilly

123
Citations
Pentobarbital depression of stimulus-secretion coupling in brain— Selective inhibition of depolarization-induced calcium-dependent release

John W. Haycock;William B. Levy;Carl W. Cotman

121
Citations
Changes in translation of synaptic excitation to dentate granule cell discharge accompanying long-term potentiation. II. An evaluation of mechanisms utilizing dentate gyrus dually innervated by surviving ipsilateral and sprouted crossed temporodentate inputs.

R C Wilson;W B Levy;O Steward

104
Citations
Astrocytic volume fluctuates in the hippocampal CA1 region across the estrous cycle

Anna Klintsova;William B. Levy;Nancy L. Desmond

103
Citations