Bio-inspired Learning and Decision-Making with Probabilistic In-Memory Computing Hardware: Part 1
Learning and decision-making in animals are often modeled as Bayesian processes, where sensory evidence is integrated with prior beliefs to guide behavior in the face of uncertainty. But what are the inherent neural dynamics that give rise to this ability, and how could they be replicated in computing systems? This abs...
Thomas Dalgaty, Eiji Kawasaki, M. de Prado et al.
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