Intracellular recordings in vivo have shown that neocortical neurons are subjected to an
intense synaptic bombardment in intact networks and are in a'high-conductance'state. In …

The vast computational power of the brain has traditionally been viewed as arising from the
complex connectivity of neural networks, in which an individual neuron acts as a simple …

Neural networks are more than the sum of their parts, but the properties of those parts are
nonetheless important. For instance, neuronal properties affect the degree to which neurons …

During wakefulness, pyramidal neurons in the intact brain are bombarded by synaptic input
that causes tonic depolarization, increased membrane conductance (ie, shunting), and noisy …

Neuronal Noise combines experimental, theoretical and computational results to show how
noise is inherent to neuronal activity, and how noise can be important for neuronal …

Although oscillations in membrane potential are a prominent feature of sensory, motor, and
cognitive function, their precise role in signal processing remains elusive. Here we show …

Activity-dependent long-term changes in synaptic strength constitute key elements for
learning and memory formation. Long-term plasticity can be induced in vivo and ex vivo by …

The membrane conductance of a pyramidal neuron in vivo is substantially increased by
background synaptic input. Increased membrane conductance, or shunting, does not simply …

Correlative Learning: A Basis for Brain and Adaptive Systems provides a bridge between
three disciplines: computational neuroscience, neural networks, and signal processing. First …

Substantial evidence indicates that the locus ceruleus (LC)–norepinephrine (NE) projection
system regulates behavioral state and state-dependent processing of sensory information …