منابع مشابه
Dopamine, Inference, and Uncertainty
The hypothesis that the phasic dopamine response reports a reward prediction error has become deeply entrenched. However, dopamine neurons exhibit several notable deviations from this hypothesis. A coherent explanation for these deviations can be obtained by analyzing the dopamine response in terms of Bayesian reinforcement learning. The key idea is that prediction errors are modulated by proba...
متن کاملDopamine and Inference About Timing
Temporal-difference learning (TD) models explain most responses of primate dopamine neurons in appetitive conditioning. But because existing models are based in the simple formal setting of Markov processes, they do not provide a realistic account of the partial observability of the state of the world, nor of variation in event timing. For instance, the TD model of Montague et al. (1996) mispre...
متن کاملDopamine, Affordance and Active Inference
The role of dopamine in behaviour and decision-making is often cast in terms of reinforcement learning and optimal decision theory. Here, we present an alternative view that frames the physiology of dopamine in terms of Bayes-optimal behaviour. In this account, dopamine controls the precision or salience of (external or internal) cues that engender action. In other words, dopamine balances bott...
متن کاملACh, Uncertainty, and Cortical Inference
Acetylcholine (ACh) has been implicated in a wide variety of tasks involving attentional processes and plasticity. Following extensive animal studies, it has previously been suggested that ACh reports on uncertainty and controls hippocampal, cortical and cortico-amygdalar plasticity. We extend this view and consider its effects on cortical representational inference, arguing that ACh controls t...
متن کاملUncertainty Modeling and Geometric Inference
We investigate the meaning of “statistical methods” for geometric inference based on image feature points. Tracing back the origin of feature uncertainty to image processing operations, we discuss the implications of asymptotic analysis in reference to “geometric fitting” and “geometric model selection”. We point out that a correspondence exists between the standard statistical analysis and the...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Neural Computation
سال: 2017
ISSN: 0899-7667,1530-888X
DOI: 10.1162/neco_a_01023