%0 Journal Article %1 Benda:2005p44737 %A Benda, Jan %A Longtin, André %A Maler, Len %D 2005 %J J Neurosci %K Action Adaptation: Animals, Dose-Response Electric Fish, Models: Neurological, Neurons, Organ, Physiological, Potentials, Radiation, Relationship: Stimulation Synaptic Transmission, %N 9 %P 2312--21 %R 10.1523/JNEUROSCI.4795-04.2005 %T Spike-frequency adaptation separates transient communication signals from background oscillations %V 25 %X Spike-frequency adaptation is a prominent feature of many neurons. However, little is known about its computational role in processing behaviorally relevant natural stimuli beyond filtering out slow changes in stimulus intensity. Here, we present a more complex example in which we demonstrate how spike-frequency adaptation plays a key role in separating transient signals from slower oscillatory signals. We recorded in vivo from very rapidly adapting electroreceptor afferents of the weakly electric fish Apteronotus leptorhynchus. The firing-frequency response of electroreceptors to fast communication stimuli ("small chirps") is strongly enhanced compared with the response to slower oscillations ("beats") arising from interactions of same-sex conspecifics. We are able to accurately predict the electroreceptor afferent response to chirps and beats, using a recently proposed general model for spike-frequency adaptation. The parameters of the model are determined for each neuron individually from the responses to step stimuli. We conclude that the dynamics of the rapid spike-frequency adaptation is sufficient to explain the data. Analysis of additional data from step responses demonstrates that spike-frequency adaptation acts subtractively rather than divisively as expected from depressing synapses. Therefore, the adaptation dynamics is linear and creates a high-pass filter with a cutoff frequency of 23 Hz that separates fast signals from slower changes in input. A similar critical frequency is seen in behavioral data on the probability of a fish emitting chirps as a function of beat frequency. These results demonstrate how spike-frequency adaptation in general can facilitate extraction of signals of different time scales, specifically high-frequency signals embedded in slower oscillations.

@article{Benda:2005p44737, abstract = {Spike-frequency adaptation is a prominent feature of many neurons. However, little is known about its computational role in processing behaviorally relevant natural stimuli beyond filtering out slow changes in stimulus intensity. Here, we present a more complex example in which we demonstrate how spike-frequency adaptation plays a key role in separating transient signals from slower oscillatory signals. We recorded in vivo from very rapidly adapting electroreceptor afferents of the weakly electric fish Apteronotus leptorhynchus. The firing-frequency response of electroreceptors to fast communication stimuli ("small chirps") is strongly enhanced compared with the response to slower oscillations ("beats") arising from interactions of same-sex conspecifics. We are able to accurately predict the electroreceptor afferent response to chirps and beats, using a recently proposed general model for spike-frequency adaptation. The parameters of the model are determined for each neuron individually from the responses to step stimuli. We conclude that the dynamics of the rapid spike-frequency adaptation is sufficient to explain the data. Analysis of additional data from step responses demonstrates that spike-frequency adaptation acts subtractively rather than divisively as expected from depressing synapses. Therefore, the adaptation dynamics is linear and creates a high-pass filter with a cutoff frequency of 23 Hz that separates fast signals from slower changes in input. A similar critical frequency is seen in behavioral data on the probability of a fish emitting chirps as a function of beat frequency. These results demonstrate how spike-frequency adaptation in general can facilitate extraction of signals of different time scales, specifically high-frequency signals embedded in slower oscillations.}, added-at = {2009-11-12T16:21:13.000+0100}, affiliation = {Department of Cellular and Molecular Medicine, Faculty of Medicine, University of Ottawa, Ottawa, Ontario, K1H 8M5 Canada.}, author = {Benda, Jan and Longtin, Andr{\'e} and Maler, Len}, biburl = {https://www.bibsonomy.org/bibtex/273608684ee98884b8f293b6b8fac8959/fdiehl}, date-added = {2009-09-23 23:11:44 +0200}, date-modified = {2009-11-10 09:46:44 +0100}, description = {bib-komplett}, doi = {10.1523/JNEUROSCI.4795-04.2005}, interhash = {80f487203341c79262ae5ac47ae76d85}, intrahash = {73608684ee98884b8f293b6b8fac8959}, journal = {J Neurosci}, keywords = {Action Adaptation: Animals, Dose-Response Electric Fish, Models: Neurological, Neurons, Organ, Physiological, Potentials, Radiation, Relationship: Stimulation Synaptic Transmission,}, language = {eng}, local-url = {file://localhost/Neurobio/Papers/15745957.pdf}, month = Mar, number = 9, pages = {2312--21}, pii = {25/9/2312}, pmid = {15745957}, rating = {0}, timestamp = {2009-11-12T16:21:31.000+0100}, title = {Spike-frequency adaptation separates transient communication signals from background oscillations}, uri = {papers://7B65697B-E216-4648-8A41-C67830C0DC73/Paper/p44737}, volume = 25, year = 2005 }