Zobrazeno 1 - 10
of 20
pro vyhledávání: '"Alexander O Komendantov"'
Autor:
Diek W Wheeler, Jeffrey D Kopsick, Nate Sutton, Carolina Tecuatl, Alexander O Komendantov, Kasturi Nadella, Giorgio A Ascoli
Publikováno v:
eLife, Vol 12 (2024)
Hippocampome.org is a mature open-access knowledge base of the rodent hippocampal formation focusing on neuron types and their properties. Previously, Hippocampome.org v1.0 established a foundational classification system identifying 122 hippocampal
Externí odkaz:
https://doaj.org/article/c7206c95a8b848de819d3c3e8b3d8ab6
Publikováno v:
PLoS Computational Biology, Vol 15, Iss 10, p e1007462 (2019)
Patterns of periodic voltage spikes elicited by a neuron help define its dynamical identity. Experimentally recorded spike trains from various neurons show qualitatively distinguishable features such as delayed spiking, spiking with or without freque
Externí odkaz:
https://doaj.org/article/33b684ee768a490eb92af4b80b70f1da
Autor:
Diek W Wheeler, Charise M White, Christopher L Rees, Alexander O Komendantov, David J Hamilton, Giorgio A Ascoli
Publikováno v:
eLife, Vol 4 (2015)
Hippocampome.org is a comprehensive knowledge base of neuron types in the rodent hippocampal formation (dentate gyrus, CA3, CA2, CA1, subiculum, and entorhinal cortex). Although the hippocampal literature is remarkably information-rich, neuron proper
Externí odkaz:
https://doaj.org/article/6f4909fd99e6440f8d5a164143e46ce6
Autor:
Diek W. Wheeler, Jeffrey D. Kopsick, Nate Sutton, Carolina Tecuatl, Alexander O. Komendantov, Kasturi Nadella, Giorgio A. Ascoli
Hippocampome.orgis a mature open-access knowledge base of the rodent hippocampal formation focusing on neuron types and their properties.Hippocampome.orgv1.0 established a foundational classification system identifying 122 hippocampal neuron types ba
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1752f540ab2afca3beef452a800b1e24
https://doi.org/10.1101/2023.05.12.540597
https://doi.org/10.1101/2023.05.12.540597
Autor:
Diek W. Wheeler, David J. Hamilton, Alexander O. Komendantov, Christopher L. Rees, Giorgio A. Ascoli, Siva Venkadesh
Publikováno v:
Scientific Reports
Scientific Reports, Vol 9, Iss 1, Pp 1-17 (2019)
Scientific Reports, Vol 9, Iss 1, Pp 1-17 (2019)
Systematically organizing the anatomical, molecular, and physiological properties of cortical neurons is important for understanding their computational functions. Hippocampome.org defines 122 neuron types in the rodent hippocampal formation (dentate
Autor:
Alexander O. Komendantov, David J. Hamilton, Siva Venkadesh, Giorgio A. Ascoli, Diek W. Wheeler
Publikováno v:
PLoS Computational Biology
PLoS Computational Biology, Vol 15, Iss 10, p e1007462 (2019)
PLoS Computational Biology, Vol 15, Iss 10, p e1007462 (2019)
Patterns of periodic voltage spikes elicited by a neuron help define its dynamical identity. Experimentally recorded spike trains from various neurons show qualitatively distinguishable features such as delayed spiking, spiking with or without freque
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::72c7410516bde297d871c6b56f35aafb
https://doi.org/10.1101/632430
https://doi.org/10.1101/632430
Autor:
David J. Hamilton, Diek W. Wheeler, Maurizio Bergamino, Alexander O. Komendantov, Charise M. White, Giorgio A. Ascoli, C. L. Rees
Publikováno v:
Brain Informatics
Widely spread naming inconsistencies in neuroscience pose a vexing obstacle to effective communication within and across areas of expertise. This problem is particularly acute when identifying neuron types and their properties. Hippocampome.org is a
Autor:
Eric O. Scott, Alexander O. Komendantov, Stanislav Listopad, Jeffrey L. Krichmar, Giorgio A. Ascoli, Kenneth A. De Jong, Siva Venkadesh
Publikováno v:
Frontiers in Neuroinformatics, Vol 12 (2018)
Frontiers in Neuroinformatics
Frontiers in Neuroinformatics
The diversity of intrinsic dynamics observed in neurons may enhance the computations implemented in the circuit by enriching network-level emergent properties such as synchronization and phase locking. Large-scale spiking network models of entire bra
Autor:
Giorgio A. Ascoli, David J. Hamilton, Christopher L. Rees, Alexander O. Komendantov, Diek W. Wheeler, Charise M. White
Publikováno v:
eNeuro
We computed the potential connectivity map of all known neuron types in the rodent hippocampal formation by supplementing scantly available synaptic data with spatial distributions of axons and dendrites from the open-access knowledge base Hippocampo
Publikováno v:
Journal of Neurophysiology. 101:1847-1866
The ability to trigger neuronal spiking activity is one of the most important functional characteristics of synaptic inputs and can be quantified as a measure of synaptic efficacy (SE). Using model neurons with both highly simplified and real morphol