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Representational drift: Emerging theories for continual learning and experimental future directions
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 …
cognition, and action often are not stable and instead undergo large scale changes over …
[HTML][HTML] Precision control for a flexible body representation
J Limanowski - Neuroscience & Biobehavioral Reviews, 2022 - Elsevier
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 …
within a flexible 'body model'in the brain. The present review evaluates the idea that this …
Incorporating neuro-inspired adaptability for continual learning in artificial intelligence
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 …
world. For this purpose, a desirable solution should properly balance memory stability with …
Filopodia are a structural substrate for silent synapses in adult neocortex
Newly generated excitatory synapses in the mammalian cortex lack sufficient AMPA-type
glutamate receptors to mediate neurotransmission, resulting in functionally silent synapses …
glutamate receptors to mediate neurotransmission, resulting in functionally silent synapses …
Hebbian deep learning without feedback
Recent approximations to backpropagation (BP) have mitigated many of BP's computational
inefficiencies and incompatibilities with biology, but important limitations still remain …
inefficiencies and incompatibilities with biology, but important limitations still remain …
Presynaptic nanoscale components of retrograde synaptic signaling
While our understanding of the nanoscale architecture of anterograde synaptic transmission
is rapidly expanding, the qualitative and quantitative molecular principles underlying distinct …
is rapidly expanding, the qualitative and quantitative molecular principles underlying distinct …
The computational and neural bases of context-dependent learning
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 …
context. While the neural underpinnings of each of these processes have been intensively …
Neural learning rules for generating flexible predictions and computing the successor representation
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 …
cognitive behaviors. Inspired by the reinforcement learning literature, this notion has been …
[HTML][HTML] Neural implementations of Bayesian inference
Bayesian inference has emerged as a general framework that captures how organisms
make decisions under uncertainty. Recent experimental findings reveal disparate …
make decisions under uncertainty. Recent experimental findings reveal disparate …
Post-injury pain and behaviour: a control theory perspective
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 …
to a pattern of persistent pain and recuperative behaviour that allows safe and effective …