Brain–computer interfaces—which allow direct communication between the brain and
external computers—have potential applications in neuroscience, medicine and virtual …

Optogenetic techniques have been developed to allow control over the activity of selected
cells within a highly heterogeneous tissue, using a combination of genetic engineering and …

Spike sorting is the computational process of extracting the firing times of single neurons
from recordings of local electrical fields. This is an important but hard problem in …

Recent advances in human stem cell-derived brain organoids promise to replicate critical
molecular and cellular aspects of learning and memory and possibly aspects of cognition in …

The accumulation of metabolic waste is a leading cause of numerous neurological
disorders, yet we still have only limited knowledge of how the brain performs self-cleansing …

The brain is the perfect place to look for inspiration to develop more efficient neural
networks. The inner workings of our synapses and neurons provide a glimpse at what the …

Two different perspectives have informed efforts to explain the link between the brain and
behaviour. One approach seeks to identify neural circuit elements that carry out specific …

Computational models in neuroscience usually take the form of systems of differential
equations. The behaviour of such systems is the subject of dynamical systems theory …

In this Review, we describe the singular success of attractor neural network models in
describing how the brain maintains persistent activity states for working memory, corrects …

Fibers, originating from nature and mastered by human, have woven their way throughout
the entire history of human civilization. Recent developments in semiconducting polymer …