Medial Axis Shape Coding in Macaque Inferotemporal Cortex

Chia Chun Hung, Eric T. Carlson, Charles Edward Connor

Research output: Contribution to journalArticle

Abstract

The basic, still unanswered question about visual object representation is this: what specific information is encoded by neural signals? Theorists have long predicted that neurons would encode medial axis or skeletal object shape, yet recent studies reveal instead neural coding of boundary or surface shape. Here, we addressed this theoretical/experimental disconnect, using adaptive shape sampling to demonstrate explicit coding of medial axis shape in high-level object cortex (macaque monkey inferotemporal cortex or IT). Our metric shape analyses revealed a coding continuum, along which most neurons represent a configuration of both medial axis and surface components. Thus, IT response functions embody a rich basis set for simultaneously representing skeletal and external shape of complex objects. This would be especially useful for representing biological shapes, which are often characterized by both complex, articulated skeletal structure and specific surface features.

Original languageEnglish (US)
Pages (from-to)1099-1113
Number of pages15
JournalNeuron
Volume74
Issue number6
DOIs
StatePublished - Jun 21 2012

Fingerprint

Macaca
Neurons
Haplorhini

ASJC Scopus subject areas

  • Neuroscience(all)

Cite this

Medial Axis Shape Coding in Macaque Inferotemporal Cortex. / Hung, Chia Chun; Carlson, Eric T.; Connor, Charles Edward.

In: Neuron, Vol. 74, No. 6, 21.06.2012, p. 1099-1113.

Research output: Contribution to journalArticle

Hung, Chia Chun ; Carlson, Eric T. ; Connor, Charles Edward. / Medial Axis Shape Coding in Macaque Inferotemporal Cortex. In: Neuron. 2012 ; Vol. 74, No. 6. pp. 1099-1113.
@article{7c0e44ccfada4385bf64a4a16a92a6f0,
title = "Medial Axis Shape Coding in Macaque Inferotemporal Cortex",
abstract = "The basic, still unanswered question about visual object representation is this: what specific information is encoded by neural signals? Theorists have long predicted that neurons would encode medial axis or skeletal object shape, yet recent studies reveal instead neural coding of boundary or surface shape. Here, we addressed this theoretical/experimental disconnect, using adaptive shape sampling to demonstrate explicit coding of medial axis shape in high-level object cortex (macaque monkey inferotemporal cortex or IT). Our metric shape analyses revealed a coding continuum, along which most neurons represent a configuration of both medial axis and surface components. Thus, IT response functions embody a rich basis set for simultaneously representing skeletal and external shape of complex objects. This would be especially useful for representing biological shapes, which are often characterized by both complex, articulated skeletal structure and specific surface features.",
author = "Hung, {Chia Chun} and Carlson, {Eric T.} and Connor, {Charles Edward}",
year = "2012",
month = "6",
day = "21",
doi = "10.1016/j.neuron.2012.04.029",
language = "English (US)",
volume = "74",
pages = "1099--1113",
journal = "Neuron",
issn = "0896-6273",
publisher = "Cell Press",
number = "6",

}

TY - JOUR

T1 - Medial Axis Shape Coding in Macaque Inferotemporal Cortex

AU - Hung, Chia Chun

AU - Carlson, Eric T.

AU - Connor, Charles Edward

PY - 2012/6/21

Y1 - 2012/6/21

N2 - The basic, still unanswered question about visual object representation is this: what specific information is encoded by neural signals? Theorists have long predicted that neurons would encode medial axis or skeletal object shape, yet recent studies reveal instead neural coding of boundary or surface shape. Here, we addressed this theoretical/experimental disconnect, using adaptive shape sampling to demonstrate explicit coding of medial axis shape in high-level object cortex (macaque monkey inferotemporal cortex or IT). Our metric shape analyses revealed a coding continuum, along which most neurons represent a configuration of both medial axis and surface components. Thus, IT response functions embody a rich basis set for simultaneously representing skeletal and external shape of complex objects. This would be especially useful for representing biological shapes, which are often characterized by both complex, articulated skeletal structure and specific surface features.

AB - The basic, still unanswered question about visual object representation is this: what specific information is encoded by neural signals? Theorists have long predicted that neurons would encode medial axis or skeletal object shape, yet recent studies reveal instead neural coding of boundary or surface shape. Here, we addressed this theoretical/experimental disconnect, using adaptive shape sampling to demonstrate explicit coding of medial axis shape in high-level object cortex (macaque monkey inferotemporal cortex or IT). Our metric shape analyses revealed a coding continuum, along which most neurons represent a configuration of both medial axis and surface components. Thus, IT response functions embody a rich basis set for simultaneously representing skeletal and external shape of complex objects. This would be especially useful for representing biological shapes, which are often characterized by both complex, articulated skeletal structure and specific surface features.

UR - http://www.scopus.com/inward/record.url?scp=84862646506&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84862646506&partnerID=8YFLogxK

U2 - 10.1016/j.neuron.2012.04.029

DO - 10.1016/j.neuron.2012.04.029

M3 - Article

C2 - 22726839

AN - SCOPUS:84862646506

VL - 74

SP - 1099

EP - 1113

JO - Neuron

JF - Neuron

SN - 0896-6273

IS - 6

ER -