Threshold Learning for Optimal Decision Making

NeurIPS 2016 Nathan F. Lepora

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... (read more)

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