Repository logo
Log in(current)
Repository logoMIT Open ScholarshipDSpace@MIT
  1. Home
  2. Computer Science and Artificial Intelligence Lab (CSAIL)
  3. Artificial Intelligence Lab Publications
  4. AI Memos (1959 - 2004)
  5. Generalization over contrast and mirror reversal, but not figure-ground reversal, in an "edge-based

Generalization over contrast and mirror reversal, but not figure-ground reversal, in an "edge-based

Thumbnail Image
Download
Name

AIM-2001-034.pdf

Size

89.55 KB

Format

Adobe PDF

Checksum (MD5)

eaec0acde37c80225984adb1a85d8d49

Thumbnail Image
Download
Name

AIM-2001-034.ps

Size

779.64 KB

Format

PostScript

Checksum (MD5)

66e3e4f89c121f6525eecee018431e62

Author(s)
Riesenhuber, Maximilian
Date Issued
December 10, 2001
Series/Report no.
AIM-2001-034
CBCL-211
Abstract
Baylis & Driver (Nature Neuroscience, 2001) have recently presented data on the response of neurons in macaque inferotemporal cortex (IT) to various stimulus transformations. They report that neurons can generalize over contrast and mirror reversal, but not over figure-ground reversal. This finding is taken to demonstrate that ``the selectivity of IT neurons is not determined simply by the distinctive contours in a display, contrary to simple edge-based models of shape recognition'', citing our recently presented model of object recognition in cortex (Riesenhuber & Poggio, Nature Neuroscience, 1999). In this memo, I show that the main effects of the experiment can be obtained by performing the appropriate simulations in our simple feedforward model. This suggests for IT cell tuning that the possible contributions of explicit edge assignment processes postulated in (Baylis & Driver, 2001) might be smaller than expected.
Subjects
AI
AI
computational neuroscience
object recognition
macaque
IT
invariance
Persistent DSpace Link
http://hdl.handle.net/1721.1/7265
Repository logo
PrivacyPermissionsAccessibilityContact us
Repository logo
Notify us about copyright concerns.