Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Simon Caby"'
Autor:
Haroon Anwar, Simon Caby, Salvador Dura-Bernal, David D’Onofrio, Daniel Hasegan, Matt Deible, Sara Grunblatt, George L. Chadderdon, Cliff C. Kerr, Peter Lakatos, William W. Lytton, Hananel Hazan, Samuel A. Neymotin
Publikováno v:
PLoS ONE, Vol 17, Iss 5 (2022)
Recent models of spiking neuronal networks have been trained to perform behaviors in static environments using a variety of learning rules, with varying degrees of biological realism. Most of these models have not been tested in dynamic visual enviro
Externí odkaz:
https://doaj.org/article/1b4f56c6ca6644df967cc5c65d03cb5f
Autor:
Haroon Anwar, Simon Caby, Salvador Dura-Bernal, David D’Onofrio, Daniel Hasegan, Matt Deible, Sara Grunblatt, George L. Chadderdon, Cliff C. Kerr, Peter Lakatos, William W. Lytton, Hananel Hazan, Samuel A. Neymotin
Publikováno v:
PloS one. 17(5)
Recent models of spiking neuronal networks have been trained to perform behaviors in static environments using a variety of learning rules, with varying degrees of biological realism. Most of these models have not been tested in dynamic visual enviro
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5e2a72ea4d21ff4cd12c27d160ce0c38
https://pubmed.ncbi.nlm.nih.gov/35544518
https://pubmed.ncbi.nlm.nih.gov/35544518
Autor:
Samuel A. Neymotin, Matt Deible, Salvador Dura-Bernal, Hananel Hazan, George L. Chadderdon, Haroon Anwar, Cliff C. Kerr, Daniel Hasegan, David D’Onofrio, Simon Caby, Sara Grunblatt, Peter Lakatos, William W. Lytton
Recent models of spiking neuronal networks have been trained to perform behaviors in static environments using a variety of learning rules, with varying degrees of biological realism. Most of these models have not been tested in dynamic visual enviro
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a380db508560d3e0ed9c7da7f1ddb9fa
https://doi.org/10.1101/2021.07.29.454361
https://doi.org/10.1101/2021.07.29.454361
Publikováno v:
Web of Science
A common view in the neuroscience community is that memory is encoded in the connection strength between neurons. This perception led artificial neural network models to focus on connection weights as the key variables to modulate learning. In this p
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4dafe2fa25adad602351df444c47728b
https://publons.com/wos-op/publon/55419743/
https://publons.com/wos-op/publon/55419743/