The DOI matches its Crossref record; 29 of the 29 references it cites were found in a registry or an index.
Current Source Density Profiles of Stimulus-Specific Adaptation in Rat Auditory Cortex
Abstract
Neurons in primary auditory cortex (A1) are known to exhibit a phenomenon known as stimulus-specific adaptation (SSA), which means that, when tested with pure tones, they will respond more strongly to a particular frequency if it is presented as a rare, unexpected “oddball” stimulus than when the same stimulus forms part of a series of common, “standard” stimuli. Although SSA has occasionally been observed in midbrain neurons that form part of the paraleminscal auditory pathway, it is thought to be weak, rare, or nonexistent among neurons of the leminscal pathway that provide the main afferent input to A1, so that SSA seen in A1 is likely generated within A1 by local mechanisms. To study the contributions that neural processing within the different cytoarchitectonic layers of A1 may make to SSA, we recorded local field potentials in A1 of the rat in response to standard and oddball tones and subjected these to current source density analysis. Although our results show that SSA can be observed throughout all layers of A1, right from the earliest part of the response, there are nevertheless significant differences between layers, with SSA becoming significantly stronger as stimulus-related activity passes from the main thalamorecipient layers III and IV to layer V.
Overview
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
In the citing paper
“Adaptation enables high sensitivity to small changes in stimulus features over a large range of intensities, and is found across sensory systems5,17,26,105,210–216.”
From Mechanisms underlying gain modulation in the cortex (2020) · cites this paper as [214]
Citations
Cites
The Rat Brain in Stereotaxic Coordinates
Paxinos, G., & Watson, C. (1983) · Elsevier eBooks · doi:10.1016/c2009-0-63235-9 · Cited by 28,585
Processing of low-probability sounds by cortical neurons
Ulanovsky, N., Las, L., & Nelken, I. (2003) · Nature Neuroscience · doi:10.1038/nn1032 · Cited by 1,049
A Quantitative Map of the Circuit of Cat Primary Visual Cortex
Binzegger, T., Douglas, R. J., & Martin, K. A. C. (2004) · Journal of Neuroscience · doi:10.1523/jneurosci.1400-04.2004 · Cited by 893
Nicholson, C., & Freeman, J. A. (1975) · Journal of Neurophysiology · doi:10.1152/jn.1975.38.2.356 · Cited by 699
Interlaminar Connections in the Neocortex
Thomson, A. M. (2002) · Cerebral Cortex · doi:10.1093/cercor/13.1.5 · Cited by 468
Functional maps of neocortical local circuitry.
Thomson, A. M. (2007) · Frontiers in Neuroscience · doi:10.3389/neuro.01.1.1.002.2007 · Cited by 434
Synaptic Mechanisms of Forward Suppression in Rat Auditory Cortex
Wehr, M., & Zador, A. M. (2005) · Neuron · doi:10.1016/j.neuron.2005.06.009 · Cited by 398
Stimulus-Specific Adaptation in the Inferior Colliculus of the Anesthetized Rat
Malmierca, M. S., Cristaudo, S., Pérez‐González, D., & Covey, E. (2009) · Journal of Neuroscience · doi:10.1523/jneurosci.4153-08.2009 · Cited by 386
Pettersen, K. H., Devor, A., Ulbert, I., Dale, A. M., & Einevoll, G. T. (2006) · Journal of Neuroscience Methods · doi:10.1016/j.jneumeth.2005.12.005 · Cited by 350
Multiparametric Auditory Receptive Field Organization Across Five Cortical Fields in the Albino Rat
Polley, D. B., Read, H. L., Storace, D. A., & Merzenich, M. M. (2007) · Journal of Neurophysiology · doi:10.1152/jn.01298.2006 · Cited by 340
Research works printed but not linked: 1
- Gilbert CD, Wiesel TN. Laminar specialization and intracortical connections in cat primary visual cortex. In: The Organization of the Cerebral Cortex, edited by Schmitt FO et al. Cambridge MA: MIT Press, 1981, p. 162–192.
Cited by
Sorted by citations
Modelling and analysis of local field potentials for studying the function of cortical circuits
Einevoll, G. T., Kayser, C., Logothetis, N. K., & Panzeri, S. (2013) · Nature Reviews Neuroscience · doi:10.1038/nrn3599 · Cited by 857
Modeling the Spatial Reach of the LFP
Lindén, H., Tetzlaff, T., Potjans, T. C., Pettersen, K. H., Grün, S., Diesmann, M., & Einevoll, G. T. (2011) · Neuron · doi:10.1016/j.neuron.2011.11.006 · Cited by 457
Central gain control in tinnitus and hyperacusis
Auerbach, B. D., Rodrigues, P. V., & Salvi, R. J. (2014) · Frontiers in Neurology · doi:10.3389/fneur.2014.00206 · Cited by 439
Great Expectations: Is there Evidence for Predictive Coding in Auditory Cortex?
Heilbron, M., & Chait, M. (2018) · Neuroscience · doi:10.1016/j.neuroscience.2017.07.061 · Cited by 428
Mechanisms underlying gain modulation in the cortex
Ferguson, K. A., & Cardin, J. A. (2020) · Nature Reviews Neuroscience · doi:10.1038/s41583-019-0253-y · Cited by 327
Metadata
- Authors
- Szymanski, F. D., Garcia-Lazaro, J. A., & Schnupp, J. W. H.
- Affiliations
- University of Oxford (GB)
- Italian Institute of Technology (IT)
- ORCID
- Schnupp, Jan W. H.
- Venue
- Journal of Neurophysiology
- Publisher
- American Physiological Society
- Published
- 2009-09
- Volume
- 102
- Issue
- 3
- Pages
- 1483-1490
- ISSN
- 0022-3077 (ISSN-L)
- 1522-1598
- OpenAlex
- W2082013844
- Cited by
- 140
- References
- 29
- Citations by year
- 2026: 4 · 2025: 8 · 2024: 4 · 2023: 6 · 2022: 4 · 2021: 11 · 2020: 12 · 2019: 9 · 2018: 9 · 2017: 8 · 2016: 5 · 2015: 12 · 2014: 7 · 2013: 10 · 2012: 7
- FWCI
- 5.00
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Journal of Neurophysiology (publishedVersion)
- PubMed (publishedVersion)
- UCL Discovery (University College London) (submittedVersion)
- Topics
- Life Sciences › Neuroscience › Cognitive Neuroscience › Neuroscience and Music Perception
- Life Sciences › Neuroscience › Sensory Systems › Hearing, Cochlea, Tinnitus, Genetics
- Life Sciences › Neuroscience › Cognitive Neuroscience › Neural dynamics and brain function
- Keywords
- stimulus-specific adaptation, primary auditory cortex, current source density, oddball paradigm, local field potentials, rat auditory cortex, pure tone responses
- MeSH terms
- Acoustic Stimulation, Adaptation, Physiological, Animals, Auditory Cortex, Auditory Pathways, Auditory Perception, Contingent Negative Variation, Electroencephalography, Evoked Potentials, Auditory, Female, Mesencephalon, Neurons, Psychophysics, Rats, Long-Evans, Rats
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
