Cargando…
Multiple-Timescale Neural Networks: Generation of History-Dependent Sequences and Inference Through Autonomous Bifurcations
Sequential transitions between metastable states are ubiquitously observed in the neural system and underlying various cognitive functions such as perception and decision making. Although a number of studies with asymmetric Hebbian connectivity have investigated how such sequences are generated, the...
Autores principales: | Kurikawa, Tomoki, Kaneko, Kunihiko |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8702558/ https://www.ncbi.nlm.nih.gov/pubmed/34955798 http://dx.doi.org/10.3389/fncom.2021.743537 |
Ejemplares similares
-
Embedding Responses in Spontaneous Neural Activity Shaped through Sequential Learning
por: Kurikawa, Tomoki, et al.
Publicado: (2013) -
Learning Shapes Spontaneous Activity Itinerating over Memorized States
por: Kurikawa, Tomoki, et al.
Publicado: (2011) -
Dynamic Organization of Hierarchical Memories
por: Kurikawa, Tomoki, et al.
Publicado: (2016) -
Atypical intrinsic neural timescale in autism
por: Watanabe, Takamitsu, et al.
Publicado: (2019) -
A Diversity of Intrinsic Timescales Underlie Neural Computations
por: Cavanagh, Sean E., et al.
Publicado: (2020)