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Parsing Heterogeneous Striatal Activity.

Kae Nakamura1, Long Ding2

  • 1Department of Physiology, Kansai Medical UniversityHirakata, Osaka, Japan.

Frontiers in Neuroanatomy
|June 1, 2017
PubMed
Summary
This summary is machine-generated.

The striatum, a key basal ganglia component, shows diverse neuronal activity. This study categorizes this activity into selection and evaluation computations, aiding behavior across different tasks and species.

Keywords:
basal gangliadecision makingdopamineprimaterewardrodentssaccadestriatum

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Area of Science:

  • Neuroscience
  • Computational Neuroscience
  • Behavioral Neuroscience

Background:

  • The striatum, a basal ganglia input structure, is crucial for decision-making and learning.
  • Functional modules within the striatum are thought to support context-specific action selection.
  • Single-neuron recordings reveal significant activity heterogeneity within striatal modules.

Purpose of the Study:

  • To identify general principles underlying complex striatal activity patterns.
  • To relate striatal neuronal activity to specific computational functions in behavior.
  • To propose a framework for understanding striatal roles across diverse tasks and species.

Main Methods:

  • Survey of striatal activity patterns from published studies.
  • Analysis of neuronal activity during reward-based decision-making tasks.
  • Analysis of neuronal activity during perceptual decision-making tasks.

Main Results:

  • Striatal activity was categorized into two primary computational roles: selection and evaluation.
  • This selection/evaluation framework unifies findings across different behavioral paradigms.
  • The framework highlights functional commonalities in striatal computations, irrespective of task specifics.

Conclusions:

  • A selection-evaluation framework provides a generalized view of striatal function.
  • This approach facilitates cross-species and cross-task comparisons of striatal mechanisms.
  • Future research should explore specific questions within this selection-evaluation framework.