Author

Guy Eyal

Hebrew University of JerusalemORCID 0000-0002-9537-5571Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Neuroscience· 2

Signature Assays, Organisms & Methods

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Approach:statistical model· 2 Research Focus:benchmarking· 1 Research Focus:cell type annotation· 1 Assay:electronic health records· 1 Organism:human· 1 Research Focus:software / tool· 1

Frequent Co-Authors

Idan SegeviD· 2 shared Christiaan P. J. de KockiD· 1 shared Felix SchürmanniD· 1 shared Guilherme Testa-SilvaiD· 1 shared Huibert D. MansvelderiD· 1 shared Javier DeFelipeiD· 1 shared Matthijs B VerhoogiD· 1 shared Michael GevaertiD· 1 shared

Activity by Year

2018-2020 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 25 mutual co-author links

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2 shared papersNeuroscience

Idan SegevORCID

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2 papers

Recent·Most cited

An efficient analytical reduction of detailed nonlinear neuron models

Oren Amsalem, Guy Eyal, Noa Rogozinski, Michael Gevaert, Pramod Kumbhar, Felix Schürmann, Idan Segev

The paper introduces Neuron_Reduce, an analytical method that significantly speeds up nonlinear neuron simulations while preserving key dynamics and dendritic computations.

Nature Communications · Jan 15, 2020Peer-reviewedNeuroscience

Human cortical pyramidal neurons: From spines to spikes via models

Guy Eyal, Matthijs B Verhoog, Guilherme Testa-Silva, Yair Deitcher, Ruth Benavides‐Piccione, Javier DeFelipe, Christiaan P. J. de Kock, Huibert D. Mansvelder, Idan Segev

The paper presents detailed biophysical models of human cortical pyramidal neurons, revealing enhanced computational capabilities through large synaptic conductances and multi-site nonlinear signaling.

Frontiers in Cellular Neuroscience · Jun 29, 2018Peer-reviewedNeuroscience