@Article{Tsodyks2004,
  author   = {Misha Tsodyks and Charles Gilbert},
  journal  = {Nature},
  title    = {Neural networks and perceptual learning.},
  year     = {2004},
  number   = {7010},
  pages    = {775-81},
  volume   = {431},
  abstract = {Sensory perception is a learned trait. The brain strategies we use
	to perceive the world are constantly modified by experience. With
	practice, we subconsciously become better at identifying familiar
	objects or distinguishing fine details in our environment. Current
	theoretical models simulate some properties of perceptual learning,
	but neglect the underlying cortical circuits. Future neural network
	models must incorporate the top-down alteration of cortical function
	by expectation or perceptual tasks. These newly found dynamic processes
	are challenging earlier views of static and feedforward processing
	of sensory information.},
  doi      = {10.1038/nature03013},
  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, 15483598},
}

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