Naturalistic animal behavior exhibits a strikingly complex organization in the temporal
domain, with variability arising from at least three sources: hierarchical, contextual, and …

Sensorimotor learning represents a challenging problem for natural and artificial systems.
Several computational models have been proposed to explain the neural and cognitive …

The timing of self-initiated actions shows large variability even when they are executed in
stable, well-learned sequences. Could this mix of reliability and stochasticity arise within the …

Zebra finches, a species of songbirds, learn to sing by creating an auditory template through
the memorization of model songs (sensory learning phase) and subsequently translating …

GABAergic interneurons can be subdivided into three subclasses: parvalbumin positive
(PV), somatostatin positive (SOM) and serotonin positive neurons. With principal cells (PCs) …

We present a simple model for coherent, spatially correlated chaos in a recurrent neural
network. Networks of randomly connected neurons exhibit chaotic fluctuations and have …

Across vertebrates, progressive changes in vocal behavior during postnatal development
are typically attributed solely to developing neural circuits. How the changing body …

Spreading processes on networks are ubiquitous in both human-made and natural systems.
Understanding their behavior is of broad interest: from the control of epidemics to …

Spatiotemporal correlations in brain activity are functionally important and have been
implicated in perception, learning and plasticity, exploratory behavior, and various aspects …

Task-related neural activity is widespread across populations of neurons during goal-
directed behaviors. However, little is known about the synaptic reorganization and circuit …