title: Responses of V1 neurons to two-dimensional hermite functions.
abstract: Neurons in primary visual cortex are widely considered to be oriented filters or energy detectors that perform one-dimensional feature analysis. The main deviations from this picture are generally thought to include gain controls and modulatory influences. Here we investigate receptive field (RF) properties of single neurons with localized two-dimensional stimuli, the two-dimensional Hermite functions (TDHs). TDHs can be grouped into distinct complete orthonormal bases that are matched in contrast energy, spatial extent, and spatial frequency content but differ in two-dimensional form, and thus can be used to probe spatially specific nonlinearities. Here we use two such bases: Cartesian TDHs, which resemble vignetted gratings and checkerboards, and polar TDHs, which resemble vignetted annuli and dartboards. Of 63 isolated units, 51 responded to TDH stimuli. In 37/51 units, we found significant differences in overall response size (21/51) or apparent RF shape (28/51) that depended on which basis set was used. Because of the properties of the TDH stimuli, these findings are inconsistent with simple feedforward nonlinearities and with many variants of energy models. Rather, they imply the presence of nonlinearities that are not local in either space or spatial frequency. Units showing these differences were present to a similar degree in cat and monkey, in simple and complex cells, and in supragranular, infragranular, and granular layers. We thus find a widely distributed neurophysiological substrate for two-dimensional spatial analysis at the earliest stages of cortical processing. Moreover, the population pattern of tuning to TDH functions suggests that V1 neurons sample not only orientations, but a larger space of two-dimensional form, in an even-handed manner.
authors.affiliation: Department of Neurology and Neuroscience, Weill Medical College of Cornell University, 1300 York Avenue, New York, NY 10021, USA. jdvicto@med.cornell.edu
authors.forename: Jonathan D
authors.initials: JD
authors.lastname: Victor
authors.forename: Ferenc
authors.initials: F
authors.lastname: Mechler
authors.forename: Michael A
authors.initials: MA
authors.lastname: Repucci
authors.forename: Keith P
authors.initials: KP
authors.lastname: Purpura
authors.forename: Tatyana
authors.initials: T
authors.lastname: Sharpee
mesh_terms: D000200:Action Potentials / Q000502:physiology; D000818:Animals; D002415:Cats; D003198:Computer Simulation; D005556:Form Perception / Q000502:physiology; D008251:Macaca; D008959:Models, Neurological; D009475:Neurons, Afferent / Q000502:physiology*; D009949:Orientation / Q000502:physiology*; D010364:Pattern Recognition, Visual / Q000502:physiology*; D010775:Photic Stimulation / Q000379:methods*; D013045:Species Specificity; D014793:Visual Cortex / Q000502:physiology*; D014794:Visual Fields / Q000502:physiology*