Inferotemporal cortex and object vision

Tanaka, Keiji

doi:10.1146/annurev.ne.19.030196.000545

Cited by 1,402Visual perception and processing mechanismsFace Recognition and PerceptionAdvanced Vision and Imaging

Inferotemporal cortex and object vision

Tanaka, Keiji·1996·Annual Review of Neuroscience

DOI 10.1146/annurev.ne.19.030196.000545

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Abstract

Cells in area TE of the inferotemporal cortex of the monkey brain selectively respond to various moderately complex object features, and those that cluster in a columnar region that runs perpendicular to the cortical surface respond to similar features. Although cells within a column respond to similar features, their selectivity is not necessarily identical. The data of optical imaging in TE have suggested that the borders between neighboring columns are not discrete; a continuous mapping of complex feature space within a larger region contains several partially overlapped columns. This continuous mapping may be used for various computations, such as production of the image of the object at different viewing angles, illumination conditions, and articulation poses.

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Within the hierarchy of the visual system, neuronal response properties are invariant to more and more parametric changes of the sensory input.
“Indeed, within the hierarchy of the visual system, neuronal response properties are invariant to more and more parametric changes of the sensory input (Tanaka 1996).”
From Whatever next? Predictive brains, situated agents, and the future of cognitive science (2013) · cites this paper as Tanaka 1996
Neurophysiological and optical imaging methods indicate a high degree of local cortical specialization in inferotemporal (IT) neurons, with columnar clustering of cells with similar selectivity.
“Neurophysiological and optical imaging methods indicate a high degree of local cortical specialization in inferotemporal (IT) neurons (Tanaka, 1996), with columnar clustering of cells with similar selectivity.”
From Specialization within the ventral stream: the case for the visual word form area (2004) · cites this paper as Tanaka, 1996
From V1 to IT, there is an increase in invariance to position and scale and, in parallel, an increase in the size of the receptive fields and in the complexity of the optimal stimuli for the neurons.
“From V1 to IT, there is an increase in invariance to position and scale (1, 2, 4-6) and in parallel, an increase in the size of the receptive fields (2, 4) as well as in the complexity of the optimal stimuli for the neurons (2, 3, 7).”
From A feedforward architecture accounts for rapid categorization (2007) · cites this paper as [4]
The model accounts for the bypass routes from V2 to the posterior inferotemporal cortex and from V4 to the anterior inferotemporal cortex, unlike the original model.
“In addition to the main routes through the V4 to the IT cortex (4), the model also accounts for the bypass routes (38) from V2 to the posterior inferotemporal cortex and from V4 to the anterior inferotemporal cortex (Fig. 1) [unlike the original model (5)].”
From A feedforward architecture accounts for rapid categorization (2007) · cites this paper as [4]

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Authors: Tanaka, K.
Affiliations: RIKEN (JP)
Corresponding author: Tanaka, Keiji
ORCID: Tanaka, Keiji
Venue: Annual Review of Neuroscience
Publisher: Annual Reviews
Published: 1996-03
Volume: 19
Issue: 1
Pages: 109-139
ISSN: 0147-006X (ISSN-L)
1545-4126
DOI: 10.1146/annurev.ne.19.030196.000545
OpenAlex: W2146656425
Cited by: 1,402
References: 55
Citations by year: 2026: 16 · 2025: 35 · 2024: 32 · 2023: 32 · 2022: 28 · 2021: 25 · 2020: 49 · 2019: 31 · 2018: 36 · 2017: 31 · 2016: 56 · 2015: 59 · 2014: 72 · 2013: 55 · 2012: 60
FWCI: 20.41
Type: journal article
Language: en
Open access: closed
Locations: Annual Review of Neuroscience (publishedVersion)
PubMed (publishedVersion)
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 › Advanced Vision and Imaging
Keywords: inferotemporal cortex, object vision, area TE, columnar organization, object recognition, viewpoint invariance, illumination invariance, monkey visual cortex
MeSH terms: Animals, Haplorhini, Axonal Transport, Brain Mapping, Neurons, Orientation, Temporal Lobe, Vision, Ocular, Visual Cortex, Visual Perception

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Inferotemporal cortex and object vision

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