Cited by 15Visual perception and processing mechanismsFace Recognition and PerceptionAdvanced Image and Video Retrieval Techniques

Multiplicative mixing of object identity and image attributes in single inferior temporal neurons

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Ratan Murty, N. Apurva, Arun, S. P.·2018·Proceedings of the National Academy of Sciences

Abstract

Significance: Vision is a challenging problem because the same object can produce a variety of images on the retina, mixing signals related to its identity with signals related to its viewing attributes, such as size, position, rotation, etc. Precisely how the brain separates these signals to form an efficient representation is unknown. Here, we show that single neurons in high-level visual cortex encode object identity and attribute multiplicatively and that doing so allows for better decoding of each signal.

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Crossref · 10.1073/pnas.1714287115

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  • In high-order visual cortex of non-human primates, properties that must be decoded separately are combined multiplicatively, whereas those that must be integrated are combined additively.

    “In the high-order visual cortex of non-human primates, properties that must be decoded separately (for example, object identity and image attributes) are combined multiplicatively, whereas those that must be integrated (for example, parts of an object) are combined additively31.”

    From Mechanisms underlying gain modulation in the cortex (2020) · cites this paper as [31]

  • Subtle differences in the relative balance of additive versus multiplicative components of neural modulation at the single-neuron level may produce substantial differences in downstream decoding of object properties at the population level.

    “Importantly, subtle differences in the relative balance of additive versus multiplicative components of neural modulation at the single-neuron level may produce substantial differences in the downstream decoding of object properties at the population level31.”

    From Mechanisms underlying gain modulation in the cortex (2020) · cites this paper as [31]

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Authors
Ratan Murty, N. A., & Arun, S. P.
Affiliations
  • Centre for Neuroscience, Indian Institute of Science, 560012 Bangalore, India
  • Indian Institute of Science Bangalore (IN)
Corresponding author
Arun, S. P.
Venue
Proceedings of the National Academy of Sciences
Published
2018-03-20
Volume
115
Issue
14
Pages
E3276-E3285
ISSN
  • 0027-8424 (ISSN-L)
  • 1091-6490
OpenAlex
W2790707260
Cited by
15
References
39
Citations by year
2025: 1 · 2023: 2 · 2022: 2 · 2021: 6 · 2020: 3 · 2019: 1
FWCI
1.49
Type
journal article
Language
en
Open access
Locations
  • Proceedings of the National Academy of Sciences (publishedVersion, cc-by-nc-nd)
  • Europe PMC (PubMed Central) (publishedVersion, cc-by-nc-nd)
  • PubMed Central (publishedVersion, cc-by-nc-nd)
  • PubMed (publishedVersion)
Funders
  • Wellcome Trust-DBT India Alliance (500027/Z/09/Z)
  • Council of Scientific and Industrial Research (Senior Research Fellowship)
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 Image and Video Retrieval Techniques
Keywords
inferior temporal cortex, single neuron responses, object identity, image characteristics, population decoding, object recognition, visual invariance, high-level visual cortex, neural coding
MeSH terms
Animals, Behavior, Animal, Computer Simulation, Form Perception, Macaca radiata, Neurons, Pattern Recognition, Visual, Photic Stimulation, Temporal Lobe, Visual Perception, Neural Networks, Computer

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