Temporal features of spike trains in the moth antennal lobe revealed by a comparative time-frequency analysis.
The discrimination of complex sensory stimuli in a noisy environment is an immense computational task. Sensory systems often encode stimulus features in a spatiotemporal fashion through the complex firing patterns of individual neurons. To identify these temporal features, we have developed an analy...
Guardado en:
Autores principales: | , , , , , , , , |
---|---|
Formato: | article |
Lenguaje: | EN |
Publicado: |
Public Library of Science (PLoS)
2014
|
Materias: | |
Acceso en línea: | https://doaj.org/article/971aad146f5247b5b198f119eb9f7d86 |
Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
id |
oai:doaj.org-article:971aad146f5247b5b198f119eb9f7d86 |
---|---|
record_format |
dspace |
spelling |
oai:doaj.org-article:971aad146f5247b5b198f119eb9f7d862021-11-18T08:37:21ZTemporal features of spike trains in the moth antennal lobe revealed by a comparative time-frequency analysis.1932-620310.1371/journal.pone.0084037https://doaj.org/article/971aad146f5247b5b198f119eb9f7d862014-01-01T00:00:00Zhttps://www.ncbi.nlm.nih.gov/pmc/articles/pmid/24465391/?tool=EBIhttps://doaj.org/toc/1932-6203The discrimination of complex sensory stimuli in a noisy environment is an immense computational task. Sensory systems often encode stimulus features in a spatiotemporal fashion through the complex firing patterns of individual neurons. To identify these temporal features, we have developed an analysis that allows the comparison of statistically significant features of spike trains localized over multiple scales of time-frequency resolution. Our approach provides an original way to utilize the discrete wavelet transform to process instantaneous rate functions derived from spike trains, and select relevant wavelet coefficients through statistical analysis. Our method uncovered localized features within olfactory projection neuron (PN) responses in the moth antennal lobe coding for the presence of an odor mixture and the concentration of single component odorants, but not for compound identities. We found that odor mixtures evoked earlier responses in biphasic response type PNs compared to single components, which led to differences in the instantaneous firing rate functions with their signal power spread across multiple frequency bands (ranging from 0 to 45.71 Hz) during a time window immediately preceding behavioral response latencies observed in insects. Odor concentrations were coded in excited response type PNs both in low frequency band differences (2.86 to 5.71 Hz) during the stimulus and in the odor trace after stimulus offset in low (0 to 2.86 Hz) and high (22.86 to 45.71 Hz) frequency bands. These high frequency differences in both types of PNs could have particular relevance for recruiting cellular activity in higher brain centers such as mushroom body Kenyon cells. In contrast, neurons in the specialized pheromone-responsive area of the moth antennal lobe exhibited few stimulus-dependent differences in temporal response features. These results provide interesting insights on early insect olfactory processing and introduce a novel comparative approach for spike train analysis applicable to a variety of neuronal data sets.Alberto CapurroFabiano BaroniLinda S KueblerZsolt KárpátiTeun DekkerHong LeiBill S HanssonTimothy C PearceShannon B OlssonPublic Library of Science (PLoS)articleMedicineRScienceQENPLoS ONE, Vol 9, Iss 1, p e84037 (2014) |
institution |
DOAJ |
collection |
DOAJ |
language |
EN |
topic |
Medicine R Science Q |
spellingShingle |
Medicine R Science Q Alberto Capurro Fabiano Baroni Linda S Kuebler Zsolt Kárpáti Teun Dekker Hong Lei Bill S Hansson Timothy C Pearce Shannon B Olsson Temporal features of spike trains in the moth antennal lobe revealed by a comparative time-frequency analysis. |
description |
The discrimination of complex sensory stimuli in a noisy environment is an immense computational task. Sensory systems often encode stimulus features in a spatiotemporal fashion through the complex firing patterns of individual neurons. To identify these temporal features, we have developed an analysis that allows the comparison of statistically significant features of spike trains localized over multiple scales of time-frequency resolution. Our approach provides an original way to utilize the discrete wavelet transform to process instantaneous rate functions derived from spike trains, and select relevant wavelet coefficients through statistical analysis. Our method uncovered localized features within olfactory projection neuron (PN) responses in the moth antennal lobe coding for the presence of an odor mixture and the concentration of single component odorants, but not for compound identities. We found that odor mixtures evoked earlier responses in biphasic response type PNs compared to single components, which led to differences in the instantaneous firing rate functions with their signal power spread across multiple frequency bands (ranging from 0 to 45.71 Hz) during a time window immediately preceding behavioral response latencies observed in insects. Odor concentrations were coded in excited response type PNs both in low frequency band differences (2.86 to 5.71 Hz) during the stimulus and in the odor trace after stimulus offset in low (0 to 2.86 Hz) and high (22.86 to 45.71 Hz) frequency bands. These high frequency differences in both types of PNs could have particular relevance for recruiting cellular activity in higher brain centers such as mushroom body Kenyon cells. In contrast, neurons in the specialized pheromone-responsive area of the moth antennal lobe exhibited few stimulus-dependent differences in temporal response features. These results provide interesting insights on early insect olfactory processing and introduce a novel comparative approach for spike train analysis applicable to a variety of neuronal data sets. |
format |
article |
author |
Alberto Capurro Fabiano Baroni Linda S Kuebler Zsolt Kárpáti Teun Dekker Hong Lei Bill S Hansson Timothy C Pearce Shannon B Olsson |
author_facet |
Alberto Capurro Fabiano Baroni Linda S Kuebler Zsolt Kárpáti Teun Dekker Hong Lei Bill S Hansson Timothy C Pearce Shannon B Olsson |
author_sort |
Alberto Capurro |
title |
Temporal features of spike trains in the moth antennal lobe revealed by a comparative time-frequency analysis. |
title_short |
Temporal features of spike trains in the moth antennal lobe revealed by a comparative time-frequency analysis. |
title_full |
Temporal features of spike trains in the moth antennal lobe revealed by a comparative time-frequency analysis. |
title_fullStr |
Temporal features of spike trains in the moth antennal lobe revealed by a comparative time-frequency analysis. |
title_full_unstemmed |
Temporal features of spike trains in the moth antennal lobe revealed by a comparative time-frequency analysis. |
title_sort |
temporal features of spike trains in the moth antennal lobe revealed by a comparative time-frequency analysis. |
publisher |
Public Library of Science (PLoS) |
publishDate |
2014 |
url |
https://doaj.org/article/971aad146f5247b5b198f119eb9f7d86 |
work_keys_str_mv |
AT albertocapurro temporalfeaturesofspiketrainsinthemothantennalloberevealedbyacomparativetimefrequencyanalysis AT fabianobaroni temporalfeaturesofspiketrainsinthemothantennalloberevealedbyacomparativetimefrequencyanalysis AT lindaskuebler temporalfeaturesofspiketrainsinthemothantennalloberevealedbyacomparativetimefrequencyanalysis AT zsoltkarpati temporalfeaturesofspiketrainsinthemothantennalloberevealedbyacomparativetimefrequencyanalysis AT teundekker temporalfeaturesofspiketrainsinthemothantennalloberevealedbyacomparativetimefrequencyanalysis AT honglei temporalfeaturesofspiketrainsinthemothantennalloberevealedbyacomparativetimefrequencyanalysis AT billshansson temporalfeaturesofspiketrainsinthemothantennalloberevealedbyacomparativetimefrequencyanalysis AT timothycpearce temporalfeaturesofspiketrainsinthemothantennalloberevealedbyacomparativetimefrequencyanalysis AT shannonbolsson temporalfeaturesofspiketrainsinthemothantennalloberevealedbyacomparativetimefrequencyanalysis |
_version_ |
1718421575758249984 |