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Reward-driven changes in striatal pathway competition shape evidence evaluation in decision-making.

Kyle Dunovan1,2, Catalina Vich3,4, Matthew Clapp5

  • 1Dept. of Psychology, Carnegie Mellon University, Pittsburgh, Pennsylvania, United States of America.

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Dopamine-driven plasticity in cortico-basal-ganglia-thalamic networks alters synaptic weights, influencing decision-making by modulating evidence accumulation rates and decision boundaries.

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Area of Science:

  • Neuroscience
  • Computational Neuroscience
  • Cognitive Neuroscience

Background:

  • Cortico-basal-ganglia-thalamic (CBGT) networks are essential for adaptive decision-making.
  • The impact of circuit-level changes on cognitive algorithms is not fully understood.

Purpose of the Study:

  • To investigate how dopaminergic plasticity at corticostriatal synapses affects the competition between striatal pathways.
  • To understand the impact on the evidence accumulation process during decision-making.

Main Methods:

  • Simulated spike-timing dependent plasticity to model dopaminergic feedback.
  • Developed a full spiking CBGT network model incorporating learned synaptic weights.
  • Analyzed neural dynamics and decision outcomes using a drift diffusion model.

Main Results:

  • Dopaminergic plasticity modified the ratio of direct and indirect corticostriatal weights.
  • Evidence accumulation rate correlated with inter-channel differences in direct pathway activity.
  • Boundary height correlated with overall indirect pathway activity.

Conclusions:

  • Corticostriatal plasticity dynamically shapes decision-making computations.
  • Complementary learning and decision processes emerge from synaptic plasticity within CBGT networks.