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pro vyhledávání: '"Ham, Andrew S."'
Understanding how biological constraints shape neural computation is a central goal of computational neuroscience. Spatially embedded recurrent neural networks provide a promising avenue to study how modelled constraints shape the combined structural
Externí odkaz:
http://arxiv.org/abs/2409.17693
Autor:
Mastick, Maya L., Tshering, Lhab, Dema, Ugyen, Chhetri, Bikram, Dorji, Chencho, Nirola, Damber K., Subedi, Puja, Lhamo, Sonam, Diyali, Kiran, Chodden, Sonam R., Ham, Andrew S., Mateen, Farrah J.
Publikováno v:
In Epilepsy & Behavior July 2024 156
Autor:
Rice, Dylan R., Kaplan, Tamara B., Hotan, Gladia C., Vogel, Andre C., Matiello, Marcelo, Gillani, Rebecca L., Hutto, Spencer K., Ham, Andrew S., Klawiter, Eric C., George, Ilena C., Galetta, Kristin, Mateen, Farrah J.
Publikováno v:
In Journal of the Neurological Sciences 15 September 2021 428
Autor:
Rice, Dylan R., Kaplan, Tamara B., Hotan, Gladia C., Vogel, Andre C., Matiello, Marcelo, Gillani, Rebecca L., Hutto, Spencer K., Ham, Andrew S., Klawiter, Eric C., George, Ilena C., Galetta, Kristin, Mateen, Farrah J.
Publikováno v:
Multiple Sclerosis & Related Disorders; Jun2021, Vol. 51, pN.PAG-N.PAG, 1p