Cortico-cortical dynamics and learning during visual recognition: a computational model

A ubiquitous feature of the neocortex is the reciprocity of connections between its many distinct areas: if area A projects to area B, then area B almost invariably projects to area A [5, 22]. While the role of the feedforward projections in facilitating tasks such as visual recognition is generally well-acknowledged, the precise computational role of the corresponding feedback projections has remained relatively unclear (cf. [1] p. 23).

[1]  Geoffrey E. Hinton,et al.  The Helmholtz Machine , 1995, Neural Computation.

[2]  Rajesh P. N. Rao,et al.  The Visual Cortex as a Hierarchical Predictor , 1996 .

[3]  T. Poggio A theory of how the brain might work. , 1990, Cold Spring Harbor symposia on quantitative biology.

[4]  Terrence J. Sejnowski,et al.  The Computational Brain , 1996, Artif. Intell..

[5]  Bruno A. Olshausen,et al.  Dynamic routing strategies in sensory, motor, and cognitive processing , 1994 .

[6]  R. Zemel A minimum description length framework for unsupervised learning , 1994 .

[7]  Kevan A. C. Martin,et al.  A Canonical Microcircuit for Neocortex , 1989, Neural Computation.

[8]  R. E. Kalman,et al.  A New Approach to Linear Filtering and Prediction Problems , 2002 .

[9]  R W Prager,et al.  Development of low entropy coding in a recurrent network. , 1996, Network.

[10]  E Harth,et al.  The inversion of sensory processing by feedback pathways: a model of visual cognitive functions. , 1987, Science.

[11]  S. Grossberg How does a brain build a cognitive code , 1980 .

[12]  K. Rockland,et al.  Laminar origins and terminations of cortical connections of the occipital lobe in the rhesus monkey , 1979, Brain Research.

[13]  Rajesh P. N. Rao,et al.  Dynamic Model of Visual Recognition Predicts Neural Response Properties in the Visual Cortex , 1997, Neural Computation.

[14]  Mitsuo Kawato,et al.  A forward-inverse optics model of reciprocal connections between visual cortical areas , 1993 .

[15]  D. J. Felleman,et al.  Distributed hierarchical processing in the primate cerebral cortex. , 1991, Cerebral cortex.

[16]  Rajesh P. N. Rao,et al.  Modeling Saccadic Targeting in Visual Search , 1995, NIPS.

[17]  R. E. Kalman,et al.  New Results in Linear Filtering and Prediction Theory , 1961 .

[18]  David J. Field,et al.  Emergence of simple-cell receptive field properties by learning a sparse code for natural images , 1996, Nature.

[19]  Rajesh P. N. Rao,et al.  A Class of Stochastic Models for Invariant Recognition, Motion, and Stereo , 1996 .