title: Reversible deactivation of cerebral network components.
abstract: Reversible deactivation techniques have shown that the cerebral network: (1) is dynamic, its functions depending on contemporaneous processing elsewhere in the network; (2) is composed of single nodes that contribute to several behaviors; (3) possesses an inherent plasticity that tends to minimize lesion-induced deficits; and (4) comprises feedforward and lateral connections that contribute in different ways to network operations. The next major advances in understanding network operations will probably be made by applying a combination of behavioral, neuron-recording and deactivation techniques. The greatest near-term gains are likely to be made in understanding the contributions that feedback projections make to cerebral network function.
authors.affiliation: Dept of Anatomy and Neurobiology, Boston University School of Medicine, MA 02118, USA.
authors.forename: B R
authors.initials: BR
authors.lastname: Payne
authors.forename: S G
authors.initials: SG
authors.lastname: Lomber
authors.forename: A E
authors.initials: AE
authors.lastname: Villa
authors.forename: J
authors.initials: J
authors.lastname: Bullier
mesh_terms: D000818:Animals; D002540:Cerebral Cortex / Q000502:physiology*; D009434:Neural Pathways / Q000502:physiology