We describe a quantitative theory to account for the computations performed by the feedforward path of the ventral stream of visual cortex and the local circuits implementing them. We show that a model instantiating the theory is capable of performing recognition on datasets of complex images at the level of human observers in rapid categorization tasks. We also show that the theory is consistent with (and in some case has predicted) several properties of neurons in V1, V4, IT and PFC. The theory seems sufficiently comprehensive, detailed and satisfactory to represent an interesting challenge for physiologists and modelers: either disprove its basic features or propose alternative theories of equivalent scope. The theory suggests a number o...
To go beyond qualitative models of the biological substrate of object recognition, we ask: can a sin...
I conjecture that the sample complexity of object recognition is mostly due to geometric image trans...
Early theories of efficient coding suggested the visual system could compress the world by learning ...
PhD thesisIn this thesis, I describe a quantitative model that accounts for the circuits and computa...
Human and non-human primates excel at visual recognition tasks. The primate visual system exhibits a...
Thesis: Ph. D., Massachusetts Institute of Technology, Department of Brain and Cognitive Sciences, 2...
Thesis (Ph. D.)--Massachusetts Institute of Technology, Dept. of Brain and Cognitive Sciences, 2006....
Understanding how biological visual systems perform object recognition is one of the ultimate goals ...
We review and apply a computational theory of the feedforward path of the ventral stream in visual c...
Thesis: Ph. D., Massachusetts Institute of Technology, Department of Brain and Cognitive Sciences, 2...
This paper sketches a hypothetical cortical architecture for visual 3D object recognition based on...
Understanding the processes that facilitate object recognition is a task that draws on a wide range ...
Thesis (Ph. D.)--Massachusetts Institute of Technology, Dept. of Physics, 2007.This electronic versi...
Mounting evidence suggests that ‘core object recognition,’ the ability to rapidly recognize objects ...
Thesis: Ph. D., Massachusetts Institute of Technology, Department of Brain and Cognitive Sciences, 2...
To go beyond qualitative models of the biological substrate of object recognition, we ask: can a sin...
I conjecture that the sample complexity of object recognition is mostly due to geometric image trans...
Early theories of efficient coding suggested the visual system could compress the world by learning ...
PhD thesisIn this thesis, I describe a quantitative model that accounts for the circuits and computa...
Human and non-human primates excel at visual recognition tasks. The primate visual system exhibits a...
Thesis: Ph. D., Massachusetts Institute of Technology, Department of Brain and Cognitive Sciences, 2...
Thesis (Ph. D.)--Massachusetts Institute of Technology, Dept. of Brain and Cognitive Sciences, 2006....
Understanding how biological visual systems perform object recognition is one of the ultimate goals ...
We review and apply a computational theory of the feedforward path of the ventral stream in visual c...
Thesis: Ph. D., Massachusetts Institute of Technology, Department of Brain and Cognitive Sciences, 2...
This paper sketches a hypothetical cortical architecture for visual 3D object recognition based on...
Understanding the processes that facilitate object recognition is a task that draws on a wide range ...
Thesis (Ph. D.)--Massachusetts Institute of Technology, Dept. of Physics, 2007.This electronic versi...
Mounting evidence suggests that ‘core object recognition,’ the ability to rapidly recognize objects ...
Thesis: Ph. D., Massachusetts Institute of Technology, Department of Brain and Cognitive Sciences, 2...
To go beyond qualitative models of the biological substrate of object recognition, we ask: can a sin...
I conjecture that the sample complexity of object recognition is mostly due to geometric image trans...
Early theories of efficient coding suggested the visual system could compress the world by learning ...