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Michael Beyeler

ResearcherPublications, citations & collaboration network

Michael Beyeler is a researcher indexed in ScholarIQ from OpenAlex & ORCID. ScholarIQ records 156 works, 1,566 citations, an h-index of 21 and an i10-index of 34.

156
Works
1,566
Citations
21
h-index
34
i10-index

How has Michael Beyeler's publication output changed over time?

ScholarIQpublication output · 2013–2025

Output grew0% over the shown period — from 1 works in 2013 to 1 in 2025.

1
1
2
1
3
1
1
1
20132015201720182019202120232025

What are the most-cited papers on Michael Beyeler?

ScholarIQmost cited works
A model of ganglion axon pathways accounts for percepts elicited by retinal implants
Michael Beyeler, Devyani Nanduri, James D. Weiland, Ariel Rokem, Geoffrey M. Boynton, Ione Fine
Scientific Reports. 2019152 CitationsOPEN ACCESS
Categorization and decision-making in a neurobiologically plausible spiking network using a STDP-like learning rule
Michael Beyeler, Nikil Dutt, Jeffrey L. Krichmar
Neural Networks. 2013132 Citations
Learning to see again: biological constraints on cortical plasticity and the implications for sight restoration technologies
Michael Beyeler, Ariel Rokem, Geoffrey M. Boynton, Ione Fine
Journal of Neural Engineering. 2017108 CitationsOPEN ACCESS
Neural correlates of sparse coding and dimensionality reduction
Michael Beyeler, Emily L. Rounds, Kristofor D. Carlson, Nikil Dutt, Jeffrey L. Krichmar
S86033158. 2019107 CitationsOPEN ACCESS
CARLsim 4: An Open Source Library for Large Scale, Biologically Detailed Spiking Neural Network Simulation using Heterogeneous Clusters
Ting-Shuo Chou, Hirak J. Kashyap, Jinwei Xing, Stanislav Listopad, Emily L. Rounds, Michael Beyeler, Nikil Dutt, Jeffrey L. Krichmar
2018100 Citations

Related on ScholarIQ

University of California, Santa Barbara
Institution
A model of ganglion axon pathways accounts for percepts elicited by retinal implants
Paper
Categorization and decision-making in a neurobiologically plausible spiking network using a STDP-like learning rule
Paper
Learning to see again: biological constraints on cortical plasticity and the implications for sight restoration technologies
Paper
Neural correlates of sparse coding and dimensionality reduction
Paper
CARLsim 4: An Open Source Library for Large Scale, Biologically Detailed Spiking Neural Network Simulation using Heterogeneous Clusters
Paper
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