A major function of central nervous systems is to discriminate different categories or types of
sensory input. Neuronal networks accomplish such tasks by learning different sensory maps …

Neurorobots enable researchers to study how behaviors are produced by neural
mechanisms in an uncertain, noisy, real-world environment. To investigate how the …

Winner-Take-All (WTA) networks are recurrently connected populations of excitatory and
inhibitory neurons that represent promising candidate microcircuits for implementing cortical …

The brain exhibits capabilities of fast incremental learning from few noisy examples, as well
as the ability to associate similar memories in autonomously-created categories and to …

The prenatal development of neural circuits must provide sufficient configuration to support
at least a set of core postnatal behaviors. Although knowledge of various genetic and …

The central nervous system receives a vast amount of sensory inputs, and it should be able
to discriminate and recognize different kinds of multisensory information. Winner‐take‐all …

We consider a system of generalized phase oscillators with a central element and radial
connections. In contrast to conventional phase oscillators of the Kuramoto type, the dynamic …

The dorsolateral prefrontal cortex (dlPFC), which is regarded as the primary site for
visuospatial working memory in the brain, is significantly modulated by dopamine (DA) and …

Animal behavior often involves a temporally ordered sequence of actions learned from
experience. Here we describe simulations of interconnected networks of spiking neurons …

Mental imagery occurs “when a representation of the type created during the initial phases
of perception is present but the stimulus is not actually being perceived.” How does the …