Sparse coding of sensory inputs.
Several theoretical, computational, and experimental studies suggest that neurons encode sensory information using a small number of active neurons at any given point in time. This strategy, referred to as 'sparse coding', could possibly confer several advantages. First, it allows for increased storage capacity in associative memories; second, it makes the structure in natural signals explicit; third, it represents complex data in a way that is easier to read out at subsequent levels of processing; and fourth, it saves energy. Recent physiological recordings from sensory neurons have indicated that sparse coding could be a ubiquitous strategy employed in several different modalities across different organisms.
Center for Neuroscience, UC Davis, 1544 Newton Court, Davis, California 95616, USA. baolshausen@ucdavis.edu
Bruno A
BA
Olshausen
David J
DJ
Field
D000200:Action Potentials / Q000502:physiology; D000344:Afferent Pathways / Q000502:physiology*; D000818:Animals; D001921:Brain / Q000166:cytology / Q000502:physiology*; D006801:Humans; D008959:Models, Neurological; D009475:Neurons, Afferent / Q000502:physiology*; D012677:Sensation / Q000502:physiology*; D015398:Signal Transduction / Q000502:physiology*; D014793:Visual Cortex / Q000166:cytology / Q000502:physiology