Literature DB >> 28575666

The Code for Facial Identity in the Primate Brain.

Le Chang1, Doris Y Tsao2.   

Abstract

Primates recognize complex objects such as faces with remarkable speed and reliability. Here, we reveal the brain's code for facial identity. Experiments in macaques demonstrate an extraordinarily simple transformation between faces and responses of cells in face patches. By formatting faces as points in a high-dimensional linear space, we discovered that each face cell's firing rate is proportional to the projection of an incoming face stimulus onto a single axis in this space, allowing a face cell ensemble to encode the location of any face in the space. Using this code, we could precisely decode faces from neural population responses and predict neural firing rates to faces. Furthermore, this code disavows the long-standing assumption that face cells encode specific facial identities, confirmed by engineering faces with drastically different appearance that elicited identical responses in single face cells. Our work suggests that other objects could be encoded by analogous metric coordinate systems. PAPERCLIP.
Copyright © 2017 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  decoding; electrophysiology; face processing; inferior temporal cortex; primate vision

Mesh:

Year:  2017        PMID: 28575666      PMCID: PMC8088389          DOI: 10.1016/j.cell.2017.05.011

Source DB:  PubMed          Journal:  Cell        ISSN: 0092-8674            Impact factor:   41.582


  27 in total

1.  Medial axis shape coding in macaque inferotemporal cortex.

Authors:  Chia-Chun Hung; Eric T Carlson; Charles E Connor
Journal:  Neuron       Date:  2012-06-21       Impact factor: 17.173

Review 2.  Sources of adaptation of inferior temporal cortical responses.

Authors:  Rufin Vogels
Journal:  Cortex       Date:  2015-09-25       Impact factor: 4.027

3.  A cortical region consisting entirely of face-selective cells.

Authors:  Doris Y Tsao; Winrich A Freiwald; Roger B H Tootell; Margaret S Livingstone
Journal:  Science       Date:  2006-02-03       Impact factor: 47.728

Review 4.  Inferotemporal cortex and object vision.

Authors:  K Tanaka
Journal:  Annu Rev Neurosci       Date:  1996       Impact factor: 12.449

Review 5.  Image representations for visual learning.

Authors:  D Beymer; T Poggio
Journal:  Science       Date:  1996-06-28       Impact factor: 47.728

6.  Functional compartmentalization and viewpoint generalization within the macaque face-processing system.

Authors:  Winrich A Freiwald; Doris Y Tsao
Journal:  Science       Date:  2010-11-05       Impact factor: 47.728

7.  Simple Learned Weighted Sums of Inferior Temporal Neuronal Firing Rates Accurately Predict Human Core Object Recognition Performance.

Authors:  Najib J Majaj; Ha Hong; Ethan A Solomon; James J DiCarlo
Journal:  J Neurosci       Date:  2015-09-30       Impact factor: 6.167

8.  A face feature space in the macaque temporal lobe.

Authors:  Winrich A Freiwald; Doris Y Tsao; Margaret S Livingstone
Journal:  Nat Neurosci       Date:  2009-08-09       Impact factor: 24.884

9.  Invariant visual representation by single neurons in the human brain.

Authors:  R Quian Quiroga; L Reddy; G Kreiman; C Koch; I Fried
Journal:  Nature       Date:  2005-06-23       Impact factor: 49.962

10.  Comparing face patch systems in macaques and humans.

Authors:  Doris Y Tsao; Sebastian Moeller; Winrich A Freiwald
Journal:  Proc Natl Acad Sci U S A       Date:  2008-11-25       Impact factor: 11.205

View more
  126 in total

1.  A neural data structure for novelty detection.

Authors:  Sanjoy Dasgupta; Timothy C Sheehan; Charles F Stevens; Saket Navlakha
Journal:  Proc Natl Acad Sci U S A       Date:  2018-12-03       Impact factor: 11.205

2.  A parameterized digital 3D model of the Rhesus macaque face for investigating the visual processing of social cues.

Authors:  Aidan P Murphy; David A Leopold
Journal:  J Neurosci Methods       Date:  2019-06-20       Impact factor: 2.390

3.  A face is more than just the eyes, nose, and mouth: fMRI evidence that face-selective cortex represents external features.

Authors:  Frederik S Kamps; Ethan J Morris; Daniel D Dilks
Journal:  Neuroimage       Date:  2018-09-11       Impact factor: 6.556

Review 4.  Broca's Area Is Not a Natural Kind.

Authors:  Evelina Fedorenko; Idan A Blank
Journal:  Trends Cogn Sci       Date:  2020-02-20       Impact factor: 20.229

Review 5.  Neural Dedifferentiation in the Aging Brain.

Authors:  Joshua D Koen; Michael D Rugg
Journal:  Trends Cogn Sci       Date:  2019-06-04       Impact factor: 20.229

6.  Neural coding: Face values.

Authors:  Natasha Bray
Journal:  Nat Rev Neurosci       Date:  2017-06-22       Impact factor: 34.870

7.  A map of object space in primate inferotemporal cortex.

Authors:  Pinglei Bao; Liang She; Mason McGill; Doris Y Tsao
Journal:  Nature       Date:  2020-06-03       Impact factor: 49.962

8.  A Flexible Neural Representation of Faces in the Human Brain.

Authors:  Runnan Cao; Xin Li; Alexander Todorov; Shuo Wang
Journal:  Cereb Cortex Commun       Date:  2020-08-28

Review 9.  A roadmap to integrate astrocytes into Systems Neuroscience.

Authors:  Ksenia V Kastanenka; Rubén Moreno-Bote; Maurizio De Pittà; Gertrudis Perea; Abel Eraso-Pichot; Roser Masgrau; Kira E Poskanzer; Elena Galea
Journal:  Glia       Date:  2019-05-06       Impact factor: 7.452

10.  Evolving Images for Visual Neurons Using a Deep Generative Network Reveals Coding Principles and Neuronal Preferences.

Authors:  Carlos R Ponce; Will Xiao; Peter F Schade; Till S Hartmann; Gabriel Kreiman; Margaret S Livingstone
Journal:  Cell       Date:  2019-05-02       Impact factor: 41.582

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.