Direction selectivity of synaptic potentials in simple cells of the cat visual cortex.

Direction selectivity of synaptic potentials in simple cells of the cat visual cortex. J. Neurophysiol. 78: 2772-2789, 1997. The direction selectivity of simple cells in the visual cortex is generated at least in part by nonlinear mechanisms. If a neuron were spatially linear, its responses to moving stimuli could be predicted accurately from linear combinations of its responses to stationary stimuli presented at different positions within the receptive field. In extracellular recordings, this has not been found to be the case. Although the extracellular experiments demonstrate the presence of a nonlinearity, the cellular process underlying the nonlinearity, whether an early synaptic mechanism such as a shunting inhibition or simply the spike threshold at the output, is not known. To differentiate between these possibilities, we have recorded intracellularly from simple cells of the intact cat with the whole cell patch technique. A linear model of direction selectivity was used to analyze the synaptic potentials evoked by stationary sine-wave gratings. The model predicted the responses of cells to moving gratings with considerable accuracy. The degree of direction selectivity and the time course of the responses to moving gratings were both well matched by the model. The direction selectivity of the synaptic potentials was considerably smaller than that of the intracellularly recorded action potential, indicating that a nonlinear mechanism such as threshold enhances the direction selectivity of the cell's output over that of its synaptic inputs. At the input stage, however, the cells apparently sum their synaptic inputs in a highly linear fashion. A more constrained test of linearity of synaptic summation based on principal component analysis was applied to the responses of direction-selective cells to stationary gratings. The analysis confirms that the summation in these cells is highly linear. The principal component analysis is consistent with a model in which direction selectivity in cortical simple cells is generated by only two subunits, each with a different receptive-field position and response time course. The response time course for each of the two subunits is derived for four analyzed cells. Each derived subunit is linear in spatial summation, suggesting that the neurons that comprise each subunit are either geniculate X-cells or receive their primary synaptic input from X-cells. The amplitude of the response of each subunit is linearly related to the contrast of the stimulus. The subunits are nonlinear in the time domain, however: the response to a stationary stimulus whose contrast is modulated sinusoidally in time is nonsinusoidal. The principal component analysis does not exclude models of direction selectivity based on more than two subunits, but such higher-order models would have to include the constraint that the extra subunits form a smooth continuum of interpolation between the properties derived from the two subunit solution.

[1]  W. Reichardt,et al.  Autocorrelation, a principle for the evaluation of sensory information by the central nervous system , 1961 .

[2]  D. Hubel,et al.  Receptive fields, binocular interaction and functional architecture in the cat's visual cortex , 1962, The Journal of physiology.

[3]  H. Barlow,et al.  The mechanism of directionally selective units in rabbit's retina. , 1965, The Journal of physiology.

[4]  P. O. Bishop,et al.  Receptive fields of simple cells in the cat striate cortex , 1973, The Journal of physiology.

[5]  P. O. Bishop,et al.  Direction selectivity of simple striate cells: properties and mechanism. , 1975, Journal of neurophysiology.

[6]  R. Shapley,et al.  Quantitative analysis of retinal ganglion cell classifications. , 1976, The Journal of physiology.

[7]  R. C. Emerson,et al.  Simple striate neurons in the cat. II. Mechanisms underlying directional asymmetry and directional selectivity. , 1977, Journal of neurophysiology.

[8]  A. Sillito Inhibitory processes underlying the directional specificity of simple, complex and hypercomplex cells in the cat's visual cortex , 1977, The Journal of physiology.

[9]  T. Poggio,et al.  A synaptic mechanism possibly underlying directional selectivity to motion , 1978, Proceedings of the Royal Society of London. Series B. Biological Sciences.

[10]  J. Movshon,et al.  Spatial summation in the receptive fields of simple cells in the cat's striate cortex. , 1978, The Journal of physiology.

[11]  L. Palmer,et al.  Receptive-field structure in cat striate cortex. , 1981, Journal of neurophysiology.

[12]  D. Burr Temporal summation of moving images by the human visual system , 1981, Proceedings of the Royal Society of London. Series B. Biological Sciences.

[13]  T. Poggio,et al.  Retinal ganglion cells: a functional interpretation of dendritic morphology. , 1982, Philosophical transactions of the Royal Society of London. Series B, Biological sciences.

[14]  D. Ferster,et al.  An intracellular analysis of geniculo‐cortical connectivity in area 17 of the cat. , 1983, The Journal of physiology.

[15]  Andrew B. Watson,et al.  A look at motion in the frequency domain , 1983 .

[16]  L Ganz,et al.  Mechanism of directional selectivity in simple neurons of the cat's visual cortex analyzed with stationary flash sequences. , 1984, Journal of neurophysiology.

[17]  J. van Santen,et al.  Temporal covariance model of human motion perception. , 1984, Journal of the Optical Society of America. A, Optics and image science.

[18]  E H Adelson,et al.  Spatiotemporal energy models for the perception of motion. , 1985, Journal of the Optical Society of America. A, Optics and image science.

[19]  A J Ahumada,et al.  Model of human visual-motion sensing. , 1985, Journal of the Optical Society of America. A, Optics and image science.

[20]  P. Lennie,et al.  Spatial frequency analysis in the visual system. , 1985, Annual review of neuroscience.

[21]  H. Spitzer,et al.  Simple- and complex-cell response dependences on stimulation parameters. , 1985, Journal of neurophysiology.

[22]  P. Heggelund Quantitative studies of enhancement and suppression zones in the receptive field of simple cells in cat striate cortex. , 1986, The Journal of physiology.

[23]  D. Burr,et al.  Seeing objects in motion , 1986, Proceedings of the Royal Society of London. Series B. Biological Sciences.

[24]  D. Ferster Orientation selectivity of synaptic potentials in neurons of cat primary visual cortex , 1986, The Journal of neuroscience : the official journal of the Society for Neuroscience.

[25]  C. Koch,et al.  Functional properties of models for direction selectivity in the retina , 1987, Synapse.

[26]  R. Shapley,et al.  Linear mechanisms of directional selectivity in simple cells of cat striate cortex. , 1987, Proceedings of the National Academy of Sciences of the United States of America.

[27]  D. Whitteridge,et al.  Selective responses of visual cortical cells do not depend on shunting inhibition , 1988, Nature.

[28]  D. Ferster Spatially opponent excitation and inhibition in simple cells of the cat visual cortex , 1988, The Journal of neuroscience : the official journal of the Society for Neuroscience.

[29]  L. Palmer,et al.  Contribution of linear spatiotemporal receptive field structure to velocity selectivity of simple cells in area 17 of cat , 1989, Vision Research.

[30]  Arnold R. Kriegstein,et al.  Whole cell recording from neurons in slices of reptilian and mammalian cerebral cortex , 1989, Journal of Neuroscience Methods.

[31]  C. Koch,et al.  Visibility of synaptically induced conductance changes: theory and simulations of anatomically characterized cortical pyramidal cells , 1990, The Journal of neuroscience : the official journal of the Society for Neuroscience.

[32]  D. Tolhurst,et al.  Evaluation of a linear model of directional selectivity in simple cells of the cat's striate cortex , 1991, Visual Neuroscience.

[33]  D. G. Albrecht,et al.  Motion selectivity and the contrast-response function of simple cells in the visual cortex , 1991, Visual Neuroscience.

[34]  R. Shapley,et al.  Directional selectivity and spatiotemporal structure of receptive fields of simple cells in cat striate cortex. , 1991, Journal of neurophysiology.

[35]  D Ferster,et al.  Nonlinearity of spatial summation in simple cells of areas 17 and 18 of cat visual cortex. , 1991, Journal of neurophysiology.

[36]  T. Poggio,et al.  Multiplying with synapses and neurons , 1992 .

[37]  E. Adelson,et al.  Directionally selective complex cells and the computation of motion energy in cat visual cortex , 1992, Vision Research.

[38]  D. Ferster,et al.  EPSP-IPSP interactions in cat visual cortex studied with in vivo whole- cell patch recording , 1992, The Journal of neuroscience : the official journal of the Society for Neuroscience.

[39]  A. L. Humphrey,et al.  Temporal-frequency tuning of direction selectivity in cat visual cortex , 1992, Visual Neuroscience.

[40]  A. L. Humphrey,et al.  Evidence of input from lagged cells in the lateral geniculate nucleus to simple cells in cortical area 17 of the cat. , 1992, Journal of neurophysiology.

[41]  D. Heeger Normalization of cell responses in cat striate cortex , 1992, Visual Neuroscience.

[42]  I. Ohzawa,et al.  Spatiotemporal organization of simple-cell receptive fields in the cat's striate cortex. II. Linearity of temporal and spatial summation. , 1993, Journal of neurophysiology.

[43]  D. Ferster,et al.  Linearity of summation of synaptic potentials underlying direction selectivity in simple cells of the cat visual cortex. , 1993, Science.

[44]  L. Palmer,et al.  Organization of simple cell responses in the three-dimensional (3-D) frequency domain , 1994, Visual Neuroscience.

[45]  B. Sakmann,et al.  Active propagation of somatic action potentials into neocortical pyramidal cell dendrites , 1994, Nature.

[46]  L. Palmer,et al.  Contribution of linear mechanisms to the specification of local motion by simple cells in areas 17 and 18 of the cat , 1994, Visual Neuroscience.

[47]  L. Kontsevich The nature of the inputs to cortical motion detectors , 1995, Vision Research.

[48]  C. Koch,et al.  Recurrent excitation in neocortical circuits , 1995, Science.

[49]  D. Ferster,et al.  Orientation selectivity of thalamic input to simple cells of cat visual cortex , 1996, Nature.

[50]  G. Orban,et al.  Model circuit of spiking neurons generating directional selectivity in simple cells. , 1996, Journal of neurophysiology.