Threshold Learning for Optimal Decision Making
–Neural Information Processing Systems
Decision making under uncertainty is commonly modelled as a process of competitive stochastic evidence accumulation to threshold (the drift-diffusion model). However, it is unknown how animals learn these decision thresholds.
Neural Information Processing Systems
Nov-21-2025, 08:07:19 GMT
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