Topic 157
decision neuroscience models making empirical task bayesian perceptual evidence stimulus model inference decisions noise participants choice probabilistic confidence behavior computational propose neural uncertainty predictions observers cognition sensory learning optimal drift experiments trial estimates they hypothesis based stimuli choices theoretical prior when situations framework actions tasks diffusion internal captures learn one priors options psychophysical movements hierarchical humans animal account operate ddm way psychophysics self modulated explain recent previous reward sequential research attractor concept subjective signal been asked option two rules accuracy over optimally behavioral predicted distributions reliability biases rewards efficient proposed heuristic sensorimotor incoming on bias principle times consistency typically reinforcement
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