Visual response properties of neurons in the middle and lateral suprasylvian cortices of the behaving cat

Yin, Tom C. T.; Greenwood, Michael S.

doi:10.1007/bf02259124

Cited by 75 publications

(15 citation statements)

References 59 publications

(71 reference statements)

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“…Using the vector-averaging technique of Yin and Greenwood (1992), we proved that the vast majority of corticotectal (81%) and corticostriatal (87%) neurons studied here were directionally selective, with similar values for the magnitude of directional bias (i.e., DSIs; see Yin and Greenwood, 1992). However, both the directional selectivity plots and the axial direction preference profiles of the two populations of neurons were very different.…”

Section: Directional Selectivitymentioning

confidence: 62%

“…Quantif ying directional selectivit y. Directional selectivity in L S corticof ugal neurons was quantified using vector averaging from a method outlined previously (Goldberg and Brown, 1969;Yin and Greenwood, 1992). Data from a single direction of stimulus movement were considered a vector, the direction and magnitude of which corresponded to the direction of stimulus movement and the mean number of spikes evoked in eight stimulus presentations, respectively.…”

Section: Methodsmentioning

confidence: 99%

“…Thus, when the ADP is close to 180°, the neuron has a preference for centrif ugal movements; when it is close to 0 or 360°, it has a centripetal preference. In addition, the width of direction tuning was quantified by calculating a half-maximal tuning angle (HM A) (Yin and Greenwood, 1992) for each neuron. It was defined by the angle that subtended responses exceeding 50% of the maximum response.…”

Section: Methodsmentioning

confidence: 99%

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Response Properties of Corticotectal and Corticostriatal Neurons in the Posterior Lateral Suprasylvian Cortex of the Cat

1997

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Lateral suprasylvian cortex (LS) is an important source of visual projections to both the striatum and superior colliculus. Although these two LS efferent systems are likely to be involved in different aspects of visual processing, little is known about their functional properties. In the present experiments, 86 neurons in halothane-anesthetized, paralyzed cats were recorded along the posterior aspects of the medial and lateral banks of LS (PMLS and PLLS). Neurons were selected for analysis on the basis of antidromic activation from electrodes chronically implanted in the superior colliculus and caudate nucleus. The segregated nature of corticostriatal and corticotectal neurons was apparent; in no instance could a neuron be antidromically activated from both the superior colliculus and the caudate nucleus. Many common features were revealed between corticotectal and corticostriatal neurons; the majority of neurons in both populations were binocular and contralaterally dominant, showed similar responses to stationary flashed light, and expressed within-field spatial summation and surround inhibition. However, a number of information-processing features distinguished between corticotectal and corticostriatal neurons; the former were generally tuned to lower velocities than were the latter, and, for a given eccentricity in visual space, corticotectal neurons had smaller receptive fields than did corticostriatal neurons. Moreover, most corticotectal neurons displayed a marked preference for movements toward temporal visual space, whereas corticostriatal neurons revealed no specialization for a particular direction of movement. In addition, whereas corticotectal neurons were selective for receding stimuli, corticostriatal neurons were selective for approaching stimuli. The presence of these two corticofugal pathways is discussed in relation to their presumptive functional roles in the facilitation of attentive and orientation behaviors.

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Section: Directional Selectivitymentioning

confidence: 62%

Section: Methodsmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

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Response Properties of Corticotectal and Corticostriatal Neurons in the Posterior Lateral Suprasylvian Cortex of the Cat

1997

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“…There is evidence in the literature demonstrating no effects of anesthetics on basic physiological properties and evidence indicating otherwise. Some studies in behaving animals that compared their results to those from anesthetized preparations using population data found no major differences (Wurtz, 1969;Yin and Greenwood, 1992). However, studies that compared single-unit activity before and after the administration of anesthetics (Goldstein, 1968;Walker and Teas, 1974;Young and Brownell, 1976;Brownell et al, 1979;Kuwada et al, 1989) invariably found significant effects of anesthetics in most, if not all, single units studied.…”

Section: Effect Of Anesthetics On Auditory-visual Bimodal Integrationmentioning

confidence: 99%

Anesthetics Change the Excitation/Inhibition Balance That Governs Sensory Processing in the Cat Superior Colliculus

Populin

2005

J. Neurosci.

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The superior colliculus (SC) is a midbrain structure that plays a central role in the integration of information from different sensory modalities and the generation of orienting responses. Its normal function is thought to be governed by a strictly held balance between excitation and inhibition. This hypothesis was tested by recording from the same single units in the SC of cats before the injection of anesthetics, while anesthetics took effect, and after the injections during recovery. Sodium pentobarbital and ketamine, two agents commonly used in sensory physiology, were used. The results show a plethora of dose-dependent and nonlinear effects: the magnitude of evoked responses, receptive field properties, first spike latency, and bimodal integration were affected by both anesthetics in all units tested. Notably, prominent facilitation was observed at low levels of anesthesia, and inhibitory responses were changed into excitatory. Overall, the results challenge a fundamental tenet of sensory physiology: anesthesia, while decreasing single-unit responsiveness, leaves unaltered basic physiological properties.

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“…The area contains cells responsive to visual, auditory, and somatosensory stimuli (Symonds and Rosenquist, 1984a;Rosenquist, 1985;Olson and Lawler, 1987;Yin and Greenwood, 1992a), and has been implicated in the control of eye movements (Yin and Greenwood, 1992b).…”

Section: Appendixmentioning

confidence: 99%

Analysis of connectivity in the cat cerebral cortex

1995

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The mammalian cerebral cortex is innervated by a large number of corticocortical connections. The number of connections makes it difficult to understand the organization of the cortical network. Nonetheless, conclusions about the organization of cortical systems drawn from examining connectional data have often been made in a speculative and informal manner, unsupported by any analytic treatment. Recently, progress has been made toward more systematic ways of extracting organizing principles from data on the network of connections between cortical areas of the monkey. In this article, we extend these approaches to the cortical systems of the cat. We collated information from the neuroanatomical literature about the corticocortical connections of the cat. This collation incorporated 1139 reported corticocortical connections between 65 cortical areas. We have previously used an optimization technique (Scannell and Young, 1993) to analyze this database in order to represent the connectional organization of cortical systems in the cat. Here, we report the connectional database and analyze it in a number of further ways. First, we employed rules from Felleman and Van Essen (1991) to investigate hierarchical relations among the areas. Second, we compared quantitatively the results of the optimization method with the results of the hierarchical method. Third, we examined quantitatively whether simple connection rules, which may reflect the development and evolution of the cortex, can account for the experimentally identified corticocortical connections in the database. The results showed, first, that hierarchical rules, when applied to the cat visual system, define a largely consistent hierarchy. Second, in both auditory and visual systems, the ordering of areas by hierarchical analysis and by optimization analysis was statistically significantly related. Hence, independent analyzes concur broadly in their ordering of areas in the cortical hierarchies. Third, the majority of corticocortical connections, and much of the pattern of connectivity, were accounted for by a simple “nearest-neighbor-or-next-door-but-one” connection rule, which may suggest one of the mechanisms by which the development of cortical connectivity is controlled.

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Visual response properties of neurons in the middle and lateral suprasylvian cortices of the behaving cat

Cited by 75 publications

References 59 publications

Response Properties of Corticotectal and Corticostriatal Neurons in the Posterior Lateral Suprasylvian Cortex of the Cat

Response Properties of Corticotectal and Corticostriatal Neurons in the Posterior Lateral Suprasylvian Cortex of the Cat

Anesthetics Change the Excitation/Inhibition Balance That Governs Sensory Processing in the Cat Superior Colliculus

Analysis of connectivity in the cat cerebral cortex

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