Adaptive regulation of sparseness by feedforward inhibition

Nat Neurosci. 2007 Sep;10(9):1176-84. doi: 10.1038/nn1947. Epub 2007 Jul 29.


In the mushroom body of insects, odors are represented by very few spikes in a small number of neurons, a highly efficient strategy known as sparse coding. Physiological studies of these neurons have shown that sparseness is maintained across thousand-fold changes in odor concentration. Using a realistic computational model, we propose that sparseness in the olfactory system is regulated by adaptive feedforward inhibition. When odor concentration changes, feedforward inhibition modulates the duration of the temporal window over which the mushroom body neurons may integrate excitatory presynaptic input. This simple adaptive mechanism could maintain the sparseness of sensory representations across wide ranges of stimulus conditions.

Publication types

  • Research Support, N.I.H., Extramural
  • Research Support, N.I.H., Intramural
  • Research Support, U.S. Gov't, Non-P.H.S.

MeSH terms

  • Action Potentials / physiology
  • Adaptation, Physiological*
  • Analysis of Variance
  • Animals
  • Annelida
  • Dose-Response Relationship, Drug
  • Models, Neurological*
  • Mushroom Bodies / cytology
  • Nerve Net / physiology
  • Neural Inhibition / physiology*
  • Neurons / physiology*
  • Nonlinear Dynamics
  • Odorants*
  • Smell / physiology*
  • Synapses / physiology