{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,9,15]],"date-time":"2026-09-15T05:45:27Z","timestamp":1789451127379,"version":"build-2803163510"},"reference-count":41,"publisher":"American Physiological Society","issue":"5","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Journal of Neurophysiology"],"published-print":{"date-parts":[[2004,5]]},"abstract":"<jats:p> 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\u2013Dawley 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. <\/jats:p>","DOI":"10.1152\/jn.00906.2003","type":"journal-article","created":{"date-parts":[[2004,4,6]],"date-time":"2004-04-06T22:13:14Z","timestamp":1081289594000},"page":"2010-2022","source":"Crossref","is-referenced-by-count":34,"title":["Nonlinear Encoding of Tactile Patterns in the Barrel Cortex"],"prefix":"10.1152","volume":"91","author":[{"given":"Roxanna M.","family":"Webber","sequence":"first","affiliation":[{"name":"Harvard\u2013Massachusetts Institute of Technology Division of Health Sciences and Technology, Harvard University, Cambridge, Massachusetts 02138"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Garrett B.","family":"Stanley","sequence":"additional","affiliation":[{"name":"Division of Engineering and Applied Sciences, Harvard University, Cambridge, Massachusetts 02138"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"24","reference":[{"key":"REF1","doi-asserted-by":"publisher","DOI":"10.1523\/JNEUROSCI.12-01-00319.1992"},{"key":"REF2","doi-asserted-by":"publisher","DOI":"10.1152\/jn.2001.86.1.354"},{"key":"REF3","doi-asserted-by":"publisher","DOI":"10.1038\/35018568"},{"key":"REF4","doi-asserted-by":"publisher","DOI":"10.1002\/cne.903030203"},{"key":"REF5","doi-asserted-by":"publisher","DOI":"10.1016\/0006-8993(86)91340-5"},{"key":"REF6","doi-asserted-by":"publisher","DOI":"10.1152\/jn.1996.76.1.130"},{"key":"REF7","doi-asserted-by":"publisher","DOI":"10.1016\/0006-8993(88)91118-3"},{"key":"REF8","doi-asserted-by":"publisher","DOI":"10.1523\/JNEUROSCI.10-08-02638.1990"},{"key":"REF9","doi-asserted-by":"publisher","DOI":"10.1113\/jphysiol.2001.013283"},{"key":"REF10","doi-asserted-by":"publisher","DOI":"10.1152\/jn.00426.2001"},{"key":"REF11","doi-asserted-by":"publisher","DOI":"10.1113\/jphysiol.2002.016857"},{"key":"REF12","doi-asserted-by":"publisher","DOI":"10.1016\/S0896-6273(02)00659-1"},{"key":"REF13","doi-asserted-by":"publisher","DOI":"10.1523\/JNEUROSCI.19-17-07603.1999"},{"key":"REF14","doi-asserted-by":"publisher","DOI":"10.1152\/jn.01158.2002"},{"key":"REF15","doi-asserted-by":"publisher","DOI":"10.1016\/0166-4328(89)90011-9"},{"key":"REF16","doi-asserted-by":"publisher","DOI":"10.1523\/JNEUROSCI.23-16-06510.2003"},{"key":"REF17","doi-asserted-by":"publisher","DOI":"10.1152\/jn.1977.40.3.463"},{"key":"REF18","doi-asserted-by":"publisher","DOI":"10.1523\/JNEUROSCI.23-32-10190.2003"},{"key":"REF19","doi-asserted-by":"publisher","DOI":"10.1152\/jn.1996.75.2.547"},{"key":"REF20","doi-asserted-by":"publisher","DOI":"10.1152\/jn.1994.72.1.392"},{"key":"REF21","doi-asserted-by":"publisher","DOI":"10.1523\/JNEUROSCI.13-04-01601.1993"},{"key":"REF22","doi-asserted-by":"publisher","DOI":"10.1152\/jn.1979.42.4.1061"},{"key":"REF23","doi-asserted-by":"crossref","unstructured":"Lee SM, Friedberg MH, and Ebner FF. 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