.png){kind=icon}
Return
A Network Perspective on Sensorimotor Learning
.png){kind=icon}
OA
AI
DOI：10.1016/j.tins.2020.11.007.png)
.png){kind=icon}
.png){kind=icon}
Share.png){kind=icon}
Save
Abstract
En 中文
What happens in the brain when we learn? Ever since the foundational work of Cajal, the field has made numerous discoveries as to how experience could change the structure and function of individual synapses. However, more recent advances have highlighted the need for understanding learning in terms of complex interactions between populations of neurons and synapses. How should one think about learning at such a macroscopic level? Here, we develop a conceptual framework to bridge the gap between the different scales at which learning operates, from synapses to neurons to behavior. Using this framework, we explore the principles that guide sensorimotor learning across these scales, and set the stage for future experimental and theoretical work in the field.
Keywords:
SYNAPTIC PLASTICITY
SENSORY PREDICTION
NEURAL-NETWORKS
PURKINJE-CELLS
MEMORY TRACE
MOTOR
PRINCIPLES
MOVEMENT
DYNAMICS
NEURONS
AI Summary
Key information extracted from the uploaded paper, including a brief overview, abstract, background, key highlights, visual analysis, and future outlook.
Journal
IF:
15.1
Papers:
5.3K
Citations:
2.2W
Organization
Cited Papers
ShareSaveShareSaveChronic 2P-STED imaging reveals high turnover of dendritic Ines in the hippocampus in vivo.png)
ELIFEOAAI
ELIFEIF0
OAAIShareSaveShareSaveDoes Glutamine Methylation Affect the Intrinsic Conformation of the Universally Conserved GGQ Motif in Ribosomal Release Factors?Biochemistry
BiochemistryIF0
PREAI
ShareSaveShareSave
View more