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 …

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 …

Perceptual constancy requires the brain to maintain a stable representation of sensory input.
In the olfactory system, activity in primary olfactory cortex (piriform cortex) is thought to …

Lack of performance when it comes to continual learning over non-stationary distributions of
data remains a major challenge in scaling neural network learning to more human realistic …

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 fields of neuroscience and artificial intelligence (AI) have a long and intertwined history.
In more recent times, however, communication and collaboration between the two fields has …

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 …

Neural networks are achieving state of the art and sometimes super-human performance on
learning tasks across a variety of domains. Whenever these problems require learning in a …