Biological organisms learn from interactions with their environment throughout their lifetime.
For artificial systems to successfully act and adapt in the real world, it is desirable to similarly …

One leading hypothesis suggests that memories are stored in ensembles of neurons (or
'engram cells') and that successful recall involves reactivation of these ensembles. A logical …

As the research on artificial intelligence booms, there is broad interest in brain‐inspired
computing using novel neuromorphic devices. The potential of various emerging materials …

Interacting with a complex world involves continual learning, in which tasks and data
distributions change over time. A continual learning system should demonstrate both …

Humans and animals have the ability to continually acquire, fine-tune, and transfer
knowledge and skills throughout their lifespan. This ability, referred to as lifelong learning, is …

The brain has the ability to flexibly perform many tasks, but the underlying mechanism
cannot be elucidated in traditional experimental and modeling studies designed for one task …

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

While deep learning has led to remarkable advances across diverse applications, it
struggles in domains where the data distribution changes over the course of learning. In …

Artificial neural networks (ANNs) are essential tools in machine learning that have drawn
increasing attention in neuroscience. Besides offering powerful techniques for data analysis …

Nanowire networks (NWNs) mimic the brain's neurosynaptic connectivity and emergent
dynamics. Consequently, NWNs may also emulate the synaptic processes that enable …