title: Linear and nonlinear properties of simple cells of the striate cortex of the cat: two types of nonlinearity.
abstract: In a proportion of simple cells of the striate cortex, the weighting functions of the receptive fields (RFs) had more periods than could be established by mapping using responses to light bars and dark bars. In these multiperiodical cells, side subfields do not respond to single bars, as they have lower weights than central zones and the excitation is under the threshold of impulse response if a single bar is applied. This fact has been established by different methods: conditioning and testing stimuli, grating patches, and inverse Fourier transform of the amplitude-phase characteristic, combining them in one cell. We assume that this type of nonlinarity can be used in analyzing the image, as it acts as a spatial-frequency filter of the area overlapped by the RF. The responses to complex gratings composed by two sinusoidal gratings of different frequency, contrast, and phase shift were compared with the sum of the responses to the gratings when they were presented separately. The results show that the principle of superposition holds a reasonable approximation even if the response is evoked from the side subzones. Some simple cells have nonlinear properties beyond the classic zone of RF (2nd type of nonlinearity). Linear cells have a tendency to be localized in layer 4 of striate cortex, cells with a nonlinear surround in layers 2, 3, 5, and 6. The significance of both types of nonlinearities in simple cells is discussed.
authors.affiliation: Pavlov Institute of Physiology, St. Petersburg, Russia.
authors.forename: V D
authors.initials: VD
authors.lastname: Glezer
authors.forename: V E
authors.initials: VE
authors.lastname: Gauzelman
mesh_terms: D000818:Animals; D002415:Cats; D005110:Extracellular Space / Q000502:physiology; D005583:Fourier Analysis; D008564:Membrane Potentials / Q000502:physiology; D009474:Neurons / Q000502:physiology; D009949:Orientation; D010775:Photic Stimulation; D014793:Visual Cortex / Q000166:cytology* / Q000502:physiology; D014794:Visual Fields / Q000502:physiology