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(Neural Computation. 2000;12:313-335.)
© 2000 The MIT Press


Letter

Do Simple Cells in Primary Visual Cortex Form a Tight Frame?

Emilio Salinas

Instituto de Fisiología Celular, UNAM, Ciudad Universitaria S/N, 04510 México D.F., México

L. F. Abbott

Volen Center for Complex Systems and Department of Biology, Brandeis University, Waltham, MA 02254-9110, U.S.A

Sets of neuronal tuning curves, which describe the responses of neurons as functions of a stimulus, can serve as a basis for approximating other functions of stimulus parameters. In a function-approximating network, synaptic weights determined by a correlation-based Hebbian rule are closely related to the coefficients that result when a function is expanded in an orthogonal basis. Although neuronal tuning curves typically are not orthogonal functions, the relationship between function approximation and correlation-based synaptic weights can be retained if the tuning curves satisfy the conditions of a tight frame. We examine whether the spatial receptive fields of simple cells in cat and monkey primary visual cortex (V1) form a tight frame, allowing them to serve as a basis for constructing more complicated extrastriate receptive fields using correlation-based synaptic weights. Our calculations show that the set of V1 simple cell receptive fields is not tight enough to account for the acuity observed psychophysically.




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C. D. Swinehart and L.F. Abbott
Supervised Learning Through Neuronal Response Modulation
Neural Comput., March 1, 2005; 17(3): 609 - 631.
[Abstract] [Full Text] [PDF]




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