dorsal/arxiv
View SchemaStimulus-invariant processing and spectrotemporal reverse correlation in primary auditory cortex
| Authors | David J. Klein, Jonathan Z. Simon, Didier A. Depireux, Shihab A. Shamma |
|---|---|
| Categories | |
| ArXiv ID | q-bio/0508039 |
| URL | https://arxiv.org/abs/q-bio/0508039 |
Abstract
The spectrotemporal receptive field (STRF) provides a versatile and integrated, spectral and temporal, functional characterization of single cells in primary auditory cortex (AI). In this paper, we explore the origin of, and relationship between, different ways of measuring and analyzing an STRF. We demonstrate that STRFs measured using a spectrotemporally diverse array of broadband stimuli -- such as dynamic ripples, spectrotemporally white noise, and temporally orthogonal ripple combinations (TORCs) -- are very similar, confirming earlier findings that the STRF is a robust linear descriptor of the cell. We also present a new deterministic analysis framework that employs the Fourier series to describe the spectrotemporal modulations contained in the stimuli and responses. Additional insights into the STRF measurements, including the nature and interpretation of measurement errors, is presented using the Fourier transform, coupled to singular-value decomposition (SVD), and variability analyses including bootstrap. The results promote the utility of the STRF as a core functional descriptor of neurons in AI.
{
"annotation_id": "2245ce3c-9f5e-4693-b175-6c9385ab8364",
"date_created": "2026-03-02T18:01:31.602000Z",
"date_modified": "2026-03-02T18:01:31.602000Z",
"file_hash": "d714c3c2538e7fc6ae349727fdffbc13ee66d88919840404dcbf9a5d20244cb5",
"private": false,
"record": {
"abstract": "The spectrotemporal receptive field (STRF) provides a versatile and\nintegrated, spectral and temporal, functional characterization of single cells\nin primary auditory cortex (AI). In this paper, we explore the origin of, and\nrelationship between, different ways of measuring and analyzing an STRF. We\ndemonstrate that STRFs measured using a spectrotemporally diverse array of\nbroadband stimuli -- such as dynamic ripples, spectrotemporally white noise,\nand temporally orthogonal ripple combinations (TORCs) -- are very similar,\nconfirming earlier findings that the STRF is a robust linear descriptor of the\ncell. We also present a new deterministic analysis framework that employs the\nFourier series to describe the spectrotemporal modulations contained in the\nstimuli and responses. Additional insights into the STRF measurements,\nincluding the nature and interpretation of measurement errors, is presented\nusing the Fourier transform, coupled to singular-value decomposition (SVD), and\nvariability analyses including bootstrap. The results promote the utility of\nthe STRF as a core functional descriptor of neurons in AI.",
"arxiv_id": "q-bio/0508039",
"authors": [
"David J. Klein",
"Jonathan Z. Simon",
"Didier A. Depireux",
"Shihab A. Shamma"
],
"categories": [
"q-bio.NC",
"q-bio.QM"
],
"title": "Stimulus-invariant processing and spectrotemporal reverse correlation in primary auditory cortex",
"url": "https://arxiv.org/abs/q-bio/0508039"
},
"schema_id": "dorsal/arxiv",
"source": {
"execution_id": "a72b1064-cf6a-4e1a-99da-946cca493667",
"id": "arXiv Dataset IDs",
"type": "Model",
"variant": "snapshot-2026-03-01",
"version": "0.1.0"
},
"user_id": 1000002
}