Zobrazeno 1 - 3
of 3
pro vyhledávání: '"Sara Grunblatt"'
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
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