.png){kind=icon}
.png){kind=icon}
Return
Re-evaluating Circuit Mechanisms Underlying Pattern Separation
.png){kind=icon}
OA
AI
DOI：10.1016/j.neuron.2019.01.044.png)
.png){kind=icon}
.png){kind=icon}
Share.png){kind=icon}
Save
Abstract
En 中文
When animals interact with complex environments, their neural circuits must separate overlapping patterns of activity that represent sensory and motor information. Pattern separation is thought to be a key function of several brain regions, including the cerebellar cortex, insect mushroom body, and dentate gyrus. However, recent findings have questioned long-held ideas on how these circuits perform this fundamental computation. Here, we re-evaluate the functional and structural mechanisms underlying pattern separation. We argue that the dimensionality of the space available for population codes representing sensory and motor information provides a common framework for understanding pattern separation. We then discuss how these three circuits use different strategies to separate activity patterns and facilitate associative learning in the presence of trial-to-trial variability.
Keywords:
CEREBELLAR GRANULE CELLS
HIPPOCAMPAL DENTATE GYRUS
PRIMARY VISUAL-CORTEX
MUSHROOM BODY
OLFACTORY-BULB
ODOR REPRESENTATIONS
MOSSY CELLS
INFORMATION-STORAGE
GOLGI CELLS
DISCRIMINATION RATHER
AI Summary
Key information extracted from the uploaded paper, including a brief overview, abstract, background, key highlights, visual analysis, and future outlook.