Our brains have evolved the ability to configure and adapt their processing states to match
the unique challenges of acting and learning in diverse environments and behavioral …

Biological neural networks adapt and learn in diverse behavioral contexts. Artificial neural
networks (ANNs) have exploited biological properties to solve complex problems. However …

The acts of learning and memory are thought to emerge from the modifications of synaptic
connections between neurons, as guided by sensory feedback during behavior. However …

Decades of neurobiological research have disclosed the diverse manners in which the
response properties of neurons are dynamically modulated to support adaptive cognitive …

Historically, neuroscience principles have heavily influenced artificial intelligence (AI), for
example the influence of the perceptron model, essentially a simple model of a biological …

While sensory representations in the brain depend on context, it remains unclear how such
modulations are implemented at the biophysical level, and how processing layers further in …

Neuromodulatory systems, including the noradrenergic, serotonergic, dopaminergic, and
cholinergic systems, track environmental signals, such as risks, rewards, novelty, effort, and …

The goal of computational neuroscience is to find mechanistic explanations of how the
nervous system processes information to support cognitive function and behaviour. At the …

Neuroscience research is undergoing a minor revolution. Recent advances in machine
learning and artificial intelligence research have opened up new ways of thinking about …

Neuromodulation underlies many behavioral states and has been extensively studied in
small circuits. This has allowed the systematic exploration of how neuromodulatory …