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RESEARCH PRODUCT
Laminar and Columnar Structure of Sensory-Evoked Multineuronal Spike Sequences in Adult Rat Barrel Cortex In Vivo
Heiko J. LuhmannVicente Reyes-puertaJyh-jang SunJyh-jang SunSuam KimWerner Kilbsubject
MaleNervous systemCognitive NeurosciencePopulationAction PotentialsStimulationSensory systemBiologyInhibitory postsynaptic potentialCellular and Molecular NeuroscienceIn vivoPhysical StimulationNeural PathwaysmedicineAnimalsRats WistareducationNeuronseducation.field_of_studyNeural InhibitionSignal Processing Computer-AssistedSomatosensory CortexBarrel cortexmedicine.anatomical_structureTouch PerceptionVibrissaeExcitatory postsynaptic potentialMicroelectrodesNeurosciencedescription
One of the most relevant questions regarding the function of the nervous system is how sensory information is represented in populations of cortical neurons. Despite its importance, the manner in which sensory-evoked activity propagates across neocortical layers and columns has yet not been fully characterized. In this study, we took advantage of the distinct organization of the rodent barrel cortex and recorded with multielectrode arrays simultaneously from up to 74 neurons localized in several functionally identified layers and columns of anesthetized adult Wistar rats in vivo. The flow of activity within neuronal populations was characterized by temporally precise spike sequences, which were repeatedly evoked by single-whisker stimulation. The majority of the spike sequences representing instantaneous responses were led by a subgroup of putative inhibitory neurons in the principal column at thalamo-recipient layers, thus revealing the presence of feedforward inhibition. However, later spike sequences were mainly led by infragranular excitatory neurons in neighboring columns. Although the starting point of the sequences was anatomically confined, their ending point was rather scattered, suggesting that the population responses are structurally dispersed. Our data show for the first time the simultaneous intra- and intercolumnar processing of information at high temporal resolution.
year | journal | country | edition | language |
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2014-02-13 | Cerebral Cortex |