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.
Funding Information
  • Wellcome Trust-DBT India Alliance (500027/Z/09/Z)
  • Council of Scientific and Industrial Research (Senior Research Fellowship)

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