Nonlinear Encoding of Tactile Patterns in the Barrel Cortex
| Autor: | Garrett B. Stanley, Roxanna M. Webber |
|---|---|
| Rok vydání: | 2004 |
| Předmět: |
Physiology
General Neuroscience Excitatory Postsynaptic Potentials Somatosensory Cortex Barrel cortex Rats Electrophysiology Rats Sprague-Dawley Nonlinear system Nonlinear Dynamics Touch Deflection (engineering) Area Under Curve Physical Stimulation Vibrissae Excitatory postsynaptic potential Animals Female Psychology Neuroscience Algorithms |
| Zdroj: | Journal of Neurophysiology. 91:2010-2022 |
| ISSN: | 1522-1598 0022-3077 |
| DOI: | 10.1152/jn.00906.2003 |
| Popis: | Cells in the rodent barrel cortex respond to vibrissa deflection with a brief excitatory component and a longer suppressive component. The response to a given deflection is thus scaled because of suppression induced by a preceding deflection, causing the neuronal response to be linked to the temporal properties of the peripheral stimulus. A paired-deflection stimulus was used to characterize the postexcitatory suppression and a 3-deflection stimulus was used to investigate the nonlinear response to patterns of whisker deflections in barbiturate-anesthetized Sprague–Dawley rats. The postexcitatory suppression was not dependent on a sensory-evoked action potential to the first deflection, implying that it is likely a subthreshold property of the network. The suppression induced by a deflection served to suppress both the excitatory and suppressive components of a subsequent neuronal response, thus effectively disinhibiting it. Two different response properties were observed in the recorded cells. Approximately 65% responded to a vibrissa deflection with an excitatory component followed by a suppressive component and 35% responded with excitation, suppression, and a subsequent rebound in excitation. Based on these observations of postexcitatory dynamics, a prediction method was used to estimate neuronal responses to more complex stimulus trains. Using the 2nd-order representation obtained from the paired-deflection stimulus, responses to general periodic deflection patterns were well predicted. A higher cutoff frequency was predicted for rebound cells compared with cells not exhibiting rebound excitation, consistent with experimental observations. The method also predicted the response of neurons to a random aperiodic deflection pattern. Therefore the temporal structure of cortical dynamics after a single deflection dictates the response to complex temporal patterns, which are more representative of stimuli encountered under natural conditions. |
| Databáze: | OpenAIRE |
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