Sources of adaptation of inferior temporal cortical responses
Open accessAbstract
Neurons of different brain regions change their response when a stimulus is repeated. In inferior temporal cortex (IT), stimulus repetition typically reduces the responses of single neurons, i.e., IT neurons show repetition suppression. Single unit recordings in IT showed that individual neurons vary in their degree of adaptation effects, ranging from strong suppression to slight enhancement of the response to the repeated stimulus. The suppression is maximal after the peak of the response and then reduces during the further course of the response. Repetition suppression in IT is still present for interstimulus intervals of at least 900 msec. I discuss the contribution of mechanisms that have been proposed to explain adaptation effects of IT responses. Firing-rate dependent response fatigue, e.g., a prolonged hyperpolarization, intrinsic to the recorded neuron cannot explain the stimulus specificity of the adaptation effect. The latter can be explained by synaptic depression or an adapted input from other IT neurons. We observed repetition suppression of IT neurons when adapter and test stimuli were presented at locations that differed by 8 degree of visual angle, suggesting that at least part of the adaptation effect is not inherited from retinotopic visual areas with small receptive fields. We observed no effect of repetition probability on repetition suppression in macaque IT using images of various categories, suggesting a dissociation between top-down expectation effects and repetition suppression. Together, our data agree with the hypothesis that adaptation in IT serves to reduce the saliency of recently seen stimuli, highlighting stimuli that differ from recently presented ones.
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An equally plausible interpretation of RS is that it arises from low-level changes in responsivity of stimulus-selective neurons (neural adaptation).
“Although it accords neatly with PP, 27 an equally plausible interpretation of RS is that it arises from low‐level changes in the responsivity of stimulus‐selective neurons (i.e., neural adaptation). 56”
From Evaluating the neurophysiological evidence for predictive processing as a model of perception (2020) · cites this paper as [56]
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References 60 · Cited by 97
- Authors
- Vogels, R.
- Affiliations
- KU Leuven (BE)
- Corresponding author
- Vogels, Rufin
- ORCID
- Vogels, Rufin
- Venue
- Cortex
- Publisher
- Elsevier BV
- Published
- 2016-07
- Volume
- 80
- Pages
- 185-195
- ISSN
- 0010-9452 (ISSN-L)
- OpenAlex
- W1439373437
- Cited by
- 97
- References
- 60
- Citations by year
- 2026: 2 · 2025: 6 · 2024: 7 · 2023: 12 · 2022: 9 · 2021: 10 · 2020: 11 · 2019: 8 · 2018: 11 · 2017: 12 · 2016: 7 · 2015: 2
- FWCI
- 1.05
- Type
- journal article
- Language
- en
- Open access
- green
- lirias.kuleuven.be
- Licence
- Locations
- Cortex (publishedVersion)
- PubMed (publishedVersion)
- Lirias (submittedVersion, other-oa)
- Funders
- Fonds voor Wetenschappelijk Onderzoek Vlaanderen (G.0582.12N)
- Interuniversitaire Attractiepool and Programma Financiering (PF 10/008)
- Topics
- Life Sciences › Neuroscience › Cognitive Neuroscience › Visual perception and processing mechanisms
- Life Sciences › Neuroscience › Cognitive Neuroscience › Face Recognition and Perception
- Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Visual Attention and Saliency Detection
- Keywords
- inferior temporal cortex, repetition suppression, neural adaptation, single-unit responses, synaptic depression, response fatigue, top-down expectations, stimulus saliency, macaque visual cortex, interstimulus interval
- MeSH terms
- Action Potentials, Adaptation, Physiological, Animals, Humans, Neurons, Photic Stimulation, Psychomotor Performance, Temporal Lobe
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