Detection and prediction of periodic patterns by the retina
- 22 April 2007
- journal article
- research article
- Published by Springer Nature in Nature Neuroscience
- Vol. 10 (5) , 552-554
- https://doi.org/10.1038/nn1887
Abstract
A fundamental task of the brain is detecting patterns in the environment that enable predictions about the future. Here, we show that the salamander and mouse retinas can recognize a wide class of periodic temporal patterns, such that a subset of ganglion cells fire strongly and specifically in response to a violation of the periodicity. This sophisticated retinal processing may provide a substrate for hierarchical pattern detection in subsequent circuits.Keywords
This publication has 14 references indexed in Scilit:
- Recording spikes from a large fraction of the ganglion cells in a retinal patchNature Neuroscience, 2004
- Human posterior auditory cortex gates novel sounds to consciousnessProceedings of the National Academy of Sciences, 2004
- The ERP omitted stimulus response to “no-stim” events and its implications for fast-rate event-related fMRI designsNeuroImage, 2003
- The novelty P3: an event-related brain potential (ERP) sign of the brain's evaluation of noveltyNeuroscience & Biobehavioral Reviews, 2001
- The auditory transient 40-Hz response is insensitive to changes in stimulus featuresNeuroReport, 1994
- Dynamic properties of human visual evoked and omitted stimulus potentialsElectroencephalography and Clinical Neurophysiology, 1994
- Dynamics of event-related potentials to trains of light and dark flashes: Responses to missing and extra stimuli in elasmobranch fishElectroencephalography and Clinical Neurophysiology, 1994
- Late magnetic fields and positive evoked potentials following infrequent and unpredictable omissions of visual stimuliElectroencephalography and Clinical Neurophysiology, 1992
- Evoked responses as a function of external and stored informationElectroencephalography and Clinical Neurophysiology, 1968
- Information Delivery and the Sensory Evoked PotentialScience, 1967