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1 results

  • 10 - Neural Diffusion Models, I. Network and Dynamical System Models

  • Philip L. Smith, University of Melbourne, Roger Ratcliff, Ohio State University
  • Book:
    Diffusion Process Models of Decision Making
    Published online:
    26 October 2025
    Print publication:
    13 November 2025, pp 255-286

  • Summary

    Chapter 10 is the first of two chapters that link diffusion models to neural processes. The chapter reviews experimental data showing that neural firing rates in decision-related cortical structures of monkeys performing eye-movement decision tasks can be predicted from fits of diffusion models to the monkeys’ response time distributions and choice probabilities. The chapter discusses four approaches to deriving diffusion process representations of evidence accumulation from models of neural firing rates. The first is the spiking network model of Wang and colleagues; the second is a linearized approximation of the Wang model by Bogacz et al.; the third is the nonlinear diffusion approximation of Roxin and Ledberg; the fourth is the Ising decision maker of Verdonck and Tuerlinckx. The agreement among these different approaches suggest that diffusion processes provide appropriate cognitive models of evidence accumulation and decision making as they are implemented neurally.