Primate-informed neural network for visual decision-making.

ABSTRACT: The human brain excels at complex tasks with remarkable efficiency, adaptability, and resilience, making it a powerful source of inspiration for AI. Here, we present a neural dynamics model inspired by the primate dorsal visual pathway, a circuit crucial for motion and spatial processing. Incorporating key neuronal and synaptic dynamics, the model reproduces human-like decision-making behaviors and neural activity patterns without the need for extensive training. Compared with conventional artificial networks, it exhibits superior robustness to perturbations such as noise and damage. To further enhance its performance, we introduce a neuroimaging-guided fine-tuning strategy. Correlations between MRI features and behavioral performance are mapped onto critical model parameters, guiding the

SUBMITTER: Su J 

PROVIDER: S-EPMC12799151 | biostudies-literature | 2026 Jan

REPOSITORIES: biostudies-literature