Category learning in a recurrent neural network with reinforcement learning
It is known that humans and animals can learn and utilize category information quickly and efficiently to adapt to changing environments, and several brain areas are involved in learning and encoding category information. However, it is unclear that how the brain system learns and forms categorical...
Main Authors: | Ying Zhang, Xiaochuan Pan, Yihong Wang |
---|---|
Format: | Article |
Language: | English |
Published: |
Frontiers Media S.A.
2022-10-01
|
Series: | Frontiers in Psychiatry |
Subjects: | |
Online Access: | https://www.frontiersin.org/articles/10.3389/fpsyt.2022.1008011/full |
Similar Items
-
Mechanisms underlying category learning in the human ventral occipito-temporal cortex
by: Xiangqi Luo, et al.
Published: (2024-02-01) -
A Neurobiology of Learning beyond the Declarative Non-Declarative Distinction
by: Daniele eOrtu, et al.
Published: (2013-11-01) -
Stimulus variation-based training enhances artificial grammar learning
by: Rachel Schiff, et al.
Published: (2021-03-01) -
Does Acute Stress Impact Declarative and Procedural Learning?
by: Ranin Ballan, et al.
Published: (2020-03-01) -
Behavioral Training Related Neurotransmitter Receptor Expression Dynamics in the Nidopallium Caudolaterale and the Hippocampal Formation of Pigeons
by: Christina Herold, et al.
Published: (2022-05-01)