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Alessandra Angelucci

Publications and source records attributed to Alessandra Angelucci.

3 recordsLinked to original sources

Anatomical substrates for functional columns in macaque monkey primary visual cortex.

In this review we re-examine the concept of a cortical column in macaque primary visual cortex, and consider to what extent a functionally defined column reflects any sort of anatomical entity that subdivides cortical territory. Functional studies have shown that columns relating to different response properties are mapped in cortex at different spatial scales. We suggest that these properties first emerge in mid-layer 4C through a combination of thalamic afferent inputs and local intracortical circuitry, and are then transferred to other layers in a columnar fashion, via interlaminar relays, where additional processing occurs. However, several properties are not strictly columnar since they do not appear in all cortical layers. In contrast to the functional column, an anatomically based cortical column is defined most clearly in terms of the reciprocal connections it makes, both via intra-areal lateral connections and inter-areal feedback/feedforward pathways. The column boundaries are reinforced by interplay between lateral inhibition spreading beyond the column boundary and disinhibition within the column. The anatomical column acts as a functionally tuned unit and point of information collation from laterally offset regions and feedback pathways. Thalamic inputs provide the high-contrast receptive field sizes of the column's neurons, intra-areal lateral connections provide their low contrast summation field sizes, and feedback pathways provide surround modulation of receptive fields responses.

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Circuits for local and global signal integration in primary visual cortex.

Contrast-dependent changes in spatial summation and contextual modulation of primary visual cortex (V1) neuron responses to stimulation of their receptive field reveal long-distance integration of visual signals within V1, well beyond the classical receptive field (cRF) of single neurons. To identify the cortical circuits mediating these long-distance computations, we have used a combination of anatomical and physiological recording methods to determine the spatial scale and retinotopic logic of intra-areal V1 horizontal connections and inter-areal feedback connections to V1. We have then compared the spatial scales of these connectional systems to the spatial dimensions of the cRF, spatial summation field (SF), and modulatory surround field of macaque V1 neurons. We find that monosynaptic horizontal connections within area V1 are of an appropriate spatial scale to mediate interactions within the SF of V1 neurons and to underlie contrast-dependent changes in SF size. Contrary to common beliefs, these connections cannot fully account for the dimensions of the surround field. The spatial scale of feedback circuits from extrastriate cortex to V1 is, instead, commensurate with the full spatial range of center-surround interactions. Thus these connections could represent an anatomical substrate for contextual modulation and global-to-local integration of visual signals. Feedback projections connect corresponding and equal-sized regions of the visual field in striate and extrastriate cortices and cover anisotropic parts of visual space, unlike V1 horizontal connections that are isotropic in the macaque. V1 isotropic connectivity demonstrates that anisotropic horizontal connections are not necessary to generate orientation selectivity. Anisotropic feedback connections may play a role in contour completion.

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Anatomical origins of the classical receptive field and modulatory surround field of single neurons in macaque visual cortical area V1.

From the analyses of our own and others' anatomical and physiological data for the macaque visual system, we arrive at a conclusion that three pathways can provide the V1 neuron with access to information from the visual field and affect its response. First, direct thalamic input can determine the size of the initial activating RF at high contrast. Second, lateral connections can enlarge the RF at low contrast by pooling information from larger regions of cortex that are otherwise ineffective when high contrast thalamic input is driving the cortical neuron. Thirdly, feedback from extrastriate cortex (possibly together with overlap or interdigitation of coactive lateral connectional fields within V1) can provide a large and stimulus specific surround modulatory field. The stimulus specificity of the interactions between the center and surround fields, may be due to the orderly, matching structure and different scales of intra-areal and feedback projection excitatory pathways. The observed activity changes of single recorded excitatory neurons could be a result of the relative weight of excitation on the excitatory neurons themselves and on local inhibitory interneurons that synapse on them. Inhibitory basket neurons, driven by the local excitatory neurons, could govern local interactions between cortical patches of different tuning properties, resulting in more distant changes in excitatory input in the laterally connected intra-areal neuronal pools.

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