Zobrazeno 1 - 10
of 28
pro vyhledávání: '"Benjamin A Suter"'
Autor:
Salvador Dura-Bernal, Benjamin A Suter, Padraig Gleeson, Matteo Cantarelli, Adrian Quintana, Facundo Rodriguez, David J Kedziora, George L Chadderdon, Cliff C Kerr, Samuel A Neymotin, Robert A McDougal, Michael Hines, Gordon MG Shepherd, William W Lytton
Publikováno v:
eLife, Vol 8 (2019)
Biophysical modeling of neuronal networks helps to integrate and interpret rapidly growing and disparate experimental datasets at multiple scales. The NetPyNE tool (www.netpyne.org) provides both programmatic and graphical interfaces to develop data-
Externí odkaz:
https://doaj.org/article/cb268b2386744416909b4dbb859285d1
Publikováno v:
eLife, Vol 3 (2014)
The motor cortex (M1) is classically considered an agranular area, lacking a distinct layer 4 (L4). Here, we tested the idea that M1, despite lacking a cytoarchitecturally visible L4, nevertheless possesses its equivalent in the form of excitatory ne
Externí odkaz:
https://doaj.org/article/2869d6b9b50143879738749225d5daad
Autor:
Goren eGordon, David M Kaplan, Benjamin eLankow, Daniel Ying-Jeh Little, Jason eSherwin, Benjamin A Suter, Lore eThaler
Publikováno v:
Frontiers in Systems Neuroscience, Vol 5 (2011)
This article was motivated by the conference entitled ‘Perception & Action – An Interdisciplinary Approach to Cognitive Systems Theory’, which took place September 14-16, 2010 at the Santa Fe Institute, NM, U.S.A. The goal of the conference was
Externí odkaz:
https://doaj.org/article/dcb397a7d7214a31b04f0cae5dcf0d59
Autor:
Benjamin A Suter, Timothy O'Connor, Vijay Iyer, Leopoldo Petreanu, Bryan M Hooks, Taro Kiritani, Karel Svoboda, Gordon M. G Shepherd
Publikováno v:
Frontiers in Neural Circuits, Vol 4 (2010)
Physiological measurements in neuroscience experiments often involve complex stimulus paradigms and multiple data channels. Ephus (http://www.ephus.org) is an open-source software package designed for general-purpose data acquisition and instrument c
Externí odkaz:
https://doaj.org/article/f1d595c989d041c89c403a95821336f8
Autor:
Salvador Dura-Bernal, Samuel A. Neymotin, Benjamin A. Suter, Joshua Dacre, Joao V.S. Moreira, Eugenio Urdapilleta, Julia Schiemann, Ian Duguid, Gordon M.G. Shepherd, William W. Lytton
Publikováno v:
Cell Reports, Vol 42, Iss 6, Pp 112574- (2023)
Summary: Understanding cortical function requires studying multiple scales: molecular, cellular, circuit, and behavioral. We develop a multiscale, biophysically detailed model of mouse primary motor cortex (M1) with over 10,000 neurons and 30 million
Externí odkaz:
https://doaj.org/article/305239ed658948db8037ea672e0f9087
Autor:
Robert J. Heuermann, Thomas C. Jaramillo, Shui-Wang Ying, Benjamin A. Suter, Kyle A. Lyman, Ye Han, Alan S. Lewis, Thomas G. Hampton, Gordon M.G. Shepherd, Peter A. Goldstein, Dane M. Chetkovich
Publikováno v:
Neurobiology of Disease, Vol 85, Iss , Pp 81-92 (2016)
Absence seizures occur in several types of human epilepsy and result from widespread, synchronous feedback between the cortex and thalamus that produces brief episodes of loss of consciousness. Genetic rodent models have been invaluable for investiga
Externí odkaz:
https://doaj.org/article/4a42cc8196d449e28a6fc1fc270660d3
Autor:
S. Jose Guzman, Alois Schlögl, Claudia Espinoza, Xiaomin Zhang, Benjamin A. Suter, Peter Jonas
Publikováno v:
Nature Computational Science
Autor:
Salvador Dura-Bernal, Samuel A Neymotin, Benjamin A Suter, Joshua Dacre, Julia Schiemann, Ian Duguid, Gordon MG Shepherd, William W Lytton
Understanding cortical function requires studying multiple scales: molecular, cellular, circuit and behavior. We developed a biophysically detailed multiscale model of mouse primary motor cortex (M1) with over 10,000 neurons and 30 million synapses.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::be051910ad1f48fe2ae2f83dd46663d5
https://doi.org/10.1101/2022.02.03.479040
https://doi.org/10.1101/2022.02.03.479040
Autor:
Michele Migliore, Gordon M. Shepherd, Samuel A. Neymotin, Benjamin A. Suter, William W. Lytton, Salvador Dura-Bernal
Publikováno v:
Journal of neurophysiology 117 (2017): 148–162. doi:10.1152/jn.00570.2016
info:cnr-pdr/source/autori:Neymotin SA, Suter BA, Dura-Bernal S, Shepherd GM, Migliore M, Lytton WW/titolo:Optimizing computer models of corticospinal neurons to replicate in vitro dynamics/doi:10.1152%2Fjn.00570.2016/rivista:Journal of neurophysiology/anno:2017/pagina_da:148/pagina_a:162/intervallo_pagine:148–162/volume:117
info:cnr-pdr/source/autori:Neymotin SA, Suter BA, Dura-Bernal S, Shepherd GM, Migliore M, Lytton WW/titolo:Optimizing computer models of corticospinal neurons to replicate in vitro dynamics/doi:10.1152%2Fjn.00570.2016/rivista:Journal of neurophysiology/anno:2017/pagina_da:148/pagina_a:162/intervallo_pagine:148–162/volume:117
Corticospinal neurons (SPI), thick-tufted pyramidal neurons in motor cortex layer 5B that project caudally via the medullary pyramids, display distinct class-specific electrophysiological properties in vitro: strong sag with hyperpolarization, lack o
Autor:
Peter Jonas, Alois Schlögl, Xiaomin Zhang, Benjamin A. Suter, Segundo J. Guzman, Claudia Espinoza
Pattern separation is a fundamental brain computation that converts small differences in synaptic input patterns into large differences in action potential (AP) output patterns. Pattern separation plays a key role in the dentate gyrus, enabling the e
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::606e60c71147761be1d4d5a2e9df42a3
https://doi.org/10.1101/647800
https://doi.org/10.1101/647800