High-resolution two-dimensional spatial mapping of cat striate cortex using a 100-microelectrode array

Much of our understanding of the visuotopic organization of striate cortex results from single-electrode penetrations and serial recording of receptive field properties. However, the quality of these maps is limited by imprecision in quantifying electrode position, combining data from multiple laminae, and eye drift during the measurement of the receptive field properties. We have addressed these concerns by using an array of 100 closely spaced microelectrodes to investigate the two-dimensional visuotopic organization of layer IV in cat striate cortex. This array allowed simultaneous measurement of the receptive field properties of multiple single units on a regularly spaced grid. We found the relationship between cortical and visual space to be locally non-conformal: the receptive field locations associated with a closely spaced line of electrodes appeared randomly scattered in visual space. To quantify the scatter, we fitted a linear transformation of electrode sites onto the associated receptive field locations. We found that the distribution of the difference between the predicted receptive field location and the measured location had standard deviations of 0.59 degrees and 0.45 degrees in the horizontal and the vertical axes, respectively. Although individual receptive field positions differed from the predicted locations in a non-conformal sense, the trend across multiple receptive fields followed the maps described elsewhere. We found, on average, that the 13 mm2 of cortex sampled by the array mapped onto a 5.8-degrees) region of visual space. From the scaling of this map and a combination of the statistics of the receptive field size (2.7+/-1.5 degrees) and scatter, we have explored the impact of electrode spacing on the completeness and redundancy in coverage of visual space sampled by an array. The simulation indicated an array with 1.2-mm spacing would completely sample the region of visual space addressed by the array. These results have implications for neuroprosthetic applications. Assuming phosphene organization resembles the visuotopic organization, remapping of visual space may be necessary to accommodate the scatter in phosphene locations.

[1]  Anil K. Jain,et al.  Statistical Pattern Recognition: A Review , 2000, IEEE Trans. Pattern Anal. Mach. Intell..

[2]  P. O. Bishop,et al.  Residual eye movements in receptive-field studies of paralyzed cats. , 1967, Vision research.

[3]  M S Lewicki,et al.  A review of methods for spike sorting: the detection and classification of neural action potentials. , 1998, Network.

[4]  K. S Guillory,et al.  A 100-channel system for real time detection and storage of extracellular spike waveforms , 1999, Journal of Neuroscience Methods.

[5]  Brindley Gs,et al.  The visual sensations produced by electrical stimulation of the medial occipital cortex. , 1968, The Journal of physiology.

[6]  G S Brindley,et al.  The visual sensations produced by electrical stimulation of the medial occipital cortex. , 1968, Journal of Physiology.

[7]  J. P. Jones,et al.  The two-dimensional spatial structure of simple receptive fields in cat striate cortex. , 1987, Journal of neurophysiology.

[8]  C. Kufta,et al.  Feasibility of a visual prosthesis for the blind based on intracortical microstimulation of the visual cortex. , 1996, Brain : a journal of neurology.

[9]  R A Normann,et al.  Chronic intracortical microstimulation (ICMS) of cat sensory cortex using the Utah Intracortical Electrode Array. , 1999, IEEE transactions on rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society.

[10]  Richard A. Andersen,et al.  On the Separation of Signals from Neighboring Cells in Tetrode Recordings , 1997, NIPS.

[11]  E. Switkes,et al.  Deoxyglucose analysis of retinotopic organization in primate striate cortex. , 1982, Science.

[12]  H. Hirsch,et al.  Receptive-field properties of neurons in different laminae of visual cortex of the cat. , 1978, Journal of neurophysiology.

[13]  D. Hubel,et al.  Uniformity of monkey striate cortex: A parallel relationship between field size, scatter, and magnification factor , 1974, The Journal of comparative neurology.

[14]  K. Albus Predominance of monocularly driven cells in the projection area of the central visual field in cat's striate cortex , 1975, Brain Research.

[15]  B M Dow,et al.  The mapping of visual space onto foveal striate cortex in the macaque monkey , 1985, The Journal of neuroscience : the official journal of the Society for Neuroscience.

[16]  Craig T. Nordhausen,et al.  Single unit recording capabilities of a 100 microelectrode array , 1996, Brain Research.

[17]  L. Palmer,et al.  The retinotopic organization of area 17 (striate cortex) in the cat , 1978, The Journal of comparative neurology.

[18]  C. Gilbert Laminar differences in receptive field properties of cells in cat primary visual cortex , 1977, The Journal of physiology.

[19]  I. Ohzawa,et al.  Functional Micro-Organization of Primary Visual Cortex: Receptive Field Analysis of Nearby Neurons , 1999, The Journal of Neuroscience.

[20]  K. Albus A quantitative study of the projection area of the central and the paracentral visual field in area 17 of the cat , 1975, Experimental brain research.

[21]  N. Swindale,et al.  Receptive field and orientation scatter studied by tetrode recordings in cat area 17 , 1999, Visual Neuroscience.

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

[23]  D. G. Green,et al.  Control of eye movements while recording from single units in the pigmented rat , 1977, Vision Research.

[24]  P. O. Bishop,et al.  Some quantitative aspects of the cat's eye: axis and plane of reference, visual field co‐ordinates and optics , 1962, The Journal of physiology.