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MCTJ_1:19-40
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Article Title:
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The Design of the Neuronal Correlate of Consciousness (NCC) for Visual Perception
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Authors:
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DB Rosen A Rosen | Posting Date: 10/19/05 | |||
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Abstract:
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The Neuronal Correlate of Consciousness (NCC)-model for visual perception is an expansion of the tactile theory of consciousness (Rosen, 2003a) to visual modalities. Five ganglion cell retinotopic collective modalities resulting from pre-processing in the retinal layers are identified in this publication. The NCC-model for visual perception is designed by reverse engineering the biological functions of seeing. A reverse engineered building path (Dennett, 1995) for the NCC-mechanism is presented in this paper. The NCC generates the sentient sensation of seeing by building in the brain a computer-like monitor screen, a Cyclopean eye, that displays a Field Of View (FOV) segment of the external world with the self in the center. The reverse engineered design solves four problems: a) The collective modality problem (collective modalities solve the binding problem and the color-hue coding problem). b) The correspondence problem for binocular vision. c) The inverse optics problem. d) The calibration problem of calibrating the scale size of the FOV-image so that it corresponds to the scale size measured in the near space. The NCC for visual perception generates an experience of seeing which is based on local feature representation (images) in the retinas of both eyes. This is contrary to the standard model for visual perception (a creative process mediated by parallel pathways that independently process information for motion, depth, form, and color). Reconciliation of the two models is obtained in the conclusion section by noting that in the NCC-model the parallel pathways of the standard model are large-scale retinotopic modalities that are combined by the NCC-circuit. | ||||
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Summary:
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IntroductionThe present day view is that visual perception that generates recognition of the visual experience is transformational. The transformations are generalizations of the Fourier analysis of local scale-based spatial and temporal characteristics of the retinal image. Vision is thought to be a creative process mediated by 3 or more parallel pathways that process information for motion, depth, form, and color. The unity is achieved not by one hierarchical neural system concerned with vision but by at least 3 (possibly more) parallel pathways in the brain. This view, which has become a major tenet of todays neurobiological study of vision, had its origin in visual psychophysics (Cambell and Robeson, 1968), and a large number of experimental measurements the most prominent ones performed by Hubel and Wiesel (1959, 1962, 1968, 1998). It is now presented in almost all major textbooks in cognitive neuroscience (Kandel et al 1991; Gazzaniga et al 2002; Bear et al, 2001; Haines, 2002). Up to date historical reviews of the standard model have also been presented by Robert F. Hess (2004), M. Reisenhuber and Tomaso Poggio (2004). Generalizing the Law of specific Nerve Energy: application to collective modalitiesThe reflexive 3D cyclopean eye, and the NCC circuit associated with it is a Darwinian adaptation that has been developed by natural selection to obtain a high degree of correspondence between the subjective experience of the object and the 3 dimensional shape-depth color and motion of the object. The Darwinian adaptation must generate a high fidelity representation of the external environment under conditions of variable day-night illumination, variable speed motion of a predator or target, and variable speed-motion of the mounting of the eye sensors. Visual modalities of the human retinaThe visual modalities of the retinal layers are a Darwinian adaptation represented by neuronal coding of collections of photoreceptors. These retinal collections have been developed by natural selection to obtain a high degree of correspondence between the subjective experience of an object and the 3 dimensional shape-color and motion of the object in the external environment (while the organism performs survival tasks) (Rodiek 1998, p.8). It is generally assumed that this Darwinian adaptation gave rise to 2 retinal collectives, or a dual retina; a photopic retina for daylight viewing, consisting predominantly of cones, and a scotopic retina for night-time viewing consisting predominantly of rods (Rodiek, 1998). A review of the neuroscience literature, however, reveals that the human retinal layers may be viewed as giving rise to many more collective modalities. Five collective sub-modalities are identified in table 1.2. Table 1.2 shows 3 modalities that may tentatively be assigned to the photopic retina and 2 to the scotopic retina. References to the scientific literature that identify these 5 collectives are presented in the table. The identification of the various collective modalities generated by the pre-processing taking place in the retinal layers is at the heart of the issue of neuronal pathways from the retina to the striate cortex and thence to the self circuit. Pre-processing in the retinal layers: Small-scale collective sub-modalities.Before the signals reach the output ganglion layer, a significant amount of pre-processing is performed in the retinal layers that effects the modality (visual sensation) generated by light striking the retina. Light passing through the lens first passes through the (transparent) ganglion layer, thence through (transparent) bipolar cells, thence to the rod-cone photoreceptors that are activated by the light photons. The synoptically activated signals originating in the photoreceptors then travel in a direction opposite to the light through the bipolar cells and thence to the ganglion cells. The bipolar cells serve as intermediate processors by grouping rods, L-cones, M-cones, and S-cones by means of horizontal cells, and bipolar cells by means of amacrine cells. These groupings determine the receptive fields associated with each ganglion cell located in the output layer of the retinal laminar organization. These groupings give rise to small-scale collective sub-modalities. Pre-processing in the retinal layers: The large-scale retinotopic collective.The large scale collective is a retinotopic array made up of a multiplicity of small-scale sub-modalities. For example, the form-shape collective is a large scale array collective made up of small-scale individual modalities of rod and cone receptors. In order to experience the sensation of color-hue, form, and shape, the receptive fields of all the color opponent small-scale sub-modalities must be combined into a retinotopic organization. The conscious experience of resolution, color-hue, and visibility of the form-shape depends on the size of the receptive fields of the color-hue sub-modalities, the number of receptive fields per unit area, the area of the colored shape-form, and the signal strength of each receptive field relative to the signals generated by inactive receptive fields. (Note that the center surround organization may enhance sensitivities to boundaries between low contrast shaded regions.) Post-processing.The collective modalities of the various receptive fields of the retinal laminar organizations are collected by the ganglion layer and then project via the optic nerve to a number of different nuclei in the brain. The collective modality specificity is maintained in the central connections of sensory axons, so that retinal stimulus modalities are represented by various retinotopic organizations generated in the retinal layers, afferent groups of axons (optic nerve-ganglion cells) associated with each retinotopic organization type, and central pathways that maintain the retinotopic organizations that are activated by each modality. One of the most prominent projections is to the dorsal part of the lateral geniculate nucleus (LGNd), a multilayered structure in the thalamus (Goodale 2004, p.873; Kandel et al 1991; Gazzaniga et al 2002; Bear et al, 2001; Haines, 2002). The total visual CM is dependent on a superposition of the collective modalities of the visual receptors and the biological solution of the inverse optics problem of obtaining a correspondence between the image and objects giving rise to that image. CONCLUSIONIn the standard model it is theorized that a visual scene is simultaneously processed by the Hubel and Wiesel cortical modules, with each module looking at a portion of the scene (Bear et al, 2001 p. 337). Experimental data supports the hypothesis that the visual image is created by several relatively independent parallel processing channels. Each one appears to be specialized for the analysis of a different facet of the visual scene. In the inter-blobs of layers III and II (P1-interblob channel), it is theorized that analysis of stimulus orientation may be required to discriminate and identify objects on the basis of their shape. The blob regions (Konio and P1-blob channels) are specialized for the analysis of color, whereas the receptive fields of the M-channel are specialized for the analysis of motion. The assumption that is NOT supported by experimental data is that analysis is performed in those regions in order to see Extra striate communication in the striate cortex from the Cyclopean eye to the NCC- self circuit.Extra striate communication from the striate cortex (Cyclopean eye) to other cortical areas is facilitated by pyramidal cells that synapse with the retinotopic organization in layers I, II, III, IV, V, and VI. Layer VI pyramidal cells give rise to the cortifugal (feedback) massive projection to the LGN (the size of this projection is factor of 4 greater than the retinal ganglion cell projection to the LGN). In a local feature representation theory, one might reasonably expect that this cortifugal feedback loop would be used to fill in gaps in each of the six layered retinotopic organizations of lower density collective modalities (while maintaining the retinotopic organization of the higher density ganglion layer). Pyramidal cells in layers I through V send their projections to another 2 dozen distinct areas of the cortex, each of which contains a representation of the visual world (Bear et al, 2001 p. 337). |
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