Abstract Short-term memory (STM), the limited information temporarily in a state of
heightened accessibility, includes just-presented events and recently retrieved information …

Decision making has recently emerged as a central theme in neurophysiological studies of
cognition, and experimental and computational work has led to the proposal of a cortical …

Although multi-label learning can deal with many problems with label ambiguity, it does not
fit some real applications well where the overall distribution of the importance of the labels …

We have suggested that the mirror-neuron system might be usefully understood as
implementing Bayes-optimal perception of actions emitted by oneself or others. To …

We have previously tried to explain perceptual inference and learning under a free-energy
principle that pursues Helmholtz's agenda to understand the brain in terms of energy …

The timing of action potentials in sensory neurons contains substantial information about the
eliciting stimuli. Although the computational advantages of spike timing–based neuronal …

This paper questions the need for reinforcement learning or control theory when optimising
behaviour. We show that it is fairly simple to teach an agent complicated and adaptive …

In Pavlovian and instrumental conditioning, reward typically comes seconds after reward-
triggering actions, creating an explanatory conundrum known as “distal reward problem” …

This article poses a controversial question: is optimal control theory useful for understanding
motor behavior or is it a misdirection? This question is becoming acute as people start to …

Although affective value is fundamental in explanations of behavior, it is still a somewhat
alien concept in cognitive science. It implies a normativity or directionality that mere …