@Article{Abbott2004,
  author   = {LF Abbott and Wade G Regehr},
  journal  = {Nature},
  title    = {Synaptic computation.},
  year     = {2004},
  number   = {7010},
  pages    = {796-803},
  volume   = {431},
  abstract = {Neurons are often considered to be the computational engines of the
	brain, with synapses acting solely as conveyers of information. But
	the diverse types of synaptic plasticity and the range of timescales
	over which they operate suggest that synapses have a more active
	role in information processing. Long-term changes in the transmission
	properties of synapses provide a physiological substrate for learning
	and memory, whereas short-term changes support a variety of computations.
	By expressing several forms of synaptic plasticity, a single neuron
	can convey an array of different signals to the neural circuit in
	which it operates.},
  doi      = {10.1038/nature03010},
  groups   = {Gain control},
  keywords = {Animals, Attention, Brain, Decision Making, Face, Female, Haplorhini, Housing, Humans, Magnetic Resonance Imaging, Male, Models, Neurological, Pattern Recognition, Visual, Photic Stimulation, Prefrontal Cortex, Research Support, Non-U.S. Gov't, U.S. Gov't, P.H.S., Visual Perception, Choice Behavior, Cognition, Dopamine, Learning, Schizophrenia, Substance-Related Disorders, Generalization (Psychology), Motor Skills, Non-P.H.S., Nerve Net, Neuronal Plasticity, Perception, Cerebral Cortex, Memory, Neurons, Sound Localization, Synapses, Synaptic Transmission, 15483601},
}

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