Recent work has revealed that the neural activity patterns correlated with sensation,
cognition, and action often are not stable and instead undergo large scale changes over …

Adaptive body representation requires the continuous integration of multisensory inputs
within a flexible 'body model'in the brain. The present review evaluates the idea that this …

Continual learning aims to empower artificial intelligence with strong adaptability to the real
world. For this purpose, a desirable solution should properly balance memory stability with …

Newly generated excitatory synapses in the mammalian cortex lack sufficient AMPA-type
glutamate receptors to mediate neurotransmission, resulting in functionally silent synapses …

Recent approximations to backpropagation (BP) have mitigated many of BP's computational
inefficiencies and incompatibilities with biology, but important limitations still remain …

The predictive nature of the hippocampus is thought to be useful for memory-guided
cognitive behaviors. Inspired by the reinforcement learning literature, this notion has been …

Flexible behavior requires the creation, updating, and expression of memories to depend on
context. While the neural underpinnings of each of these processes have been intensively …

Injuries of various types occur commonly in the lives of humans and other animals and lead
to a pattern of persistent pain and recuperative behaviour that allows safe and effective …

This review provides an update on Neurorepresentationalism, a theoretical framework that
defines conscious experience as multimodal, situational survey and explains its neural basis …

Bayesian inference has emerged as a general framework that captures how organisms
make decisions under uncertainty. Recent experimental findings reveal disparate …