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Relevant bibliographies by topics / Middle temporal visual area (MT)

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Journal articles

Academic literature on the topic 'Middle temporal visual area (MT)'

Author: Grafiati

Published: 4 June 2021

Last updated: 1 February 2022

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Journal articles on the topic "Middle temporal visual area (MT)"

1

Antal, Andrea, Rafael Polania, Katharina Saller, et al. "Differential activation of the middle-temporal complex to visual stimulation in migraineurs." Cephalalgia 31, no. 3 (2010): 338–45. http://dx.doi.org/10.1177/0333102410379889.

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Objective: Differences between people with and without migraine on various measures of visual perception have been attributed to abnormal cortical processing due to the disease. The aim of the present study was to explore the dynamics of the basic interictal state with regard to the extrastriate, motion-responsive middle temporal area (MT-complex) with functional magnetic resonance imaging (fMRI) at 3 tesla using coherent/incoherent moving dot stimuli. Method: Twenty-four migraine patients (12 with aura [MwA], 12 without aura [MwoA]) and 12 healthy subjects participated in the study. The indiv

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Lui, Leo L., James A. Bourne, and Marcello G. P. Rosa. "Spatial Summation, End Inhibition and Side Inhibition in the Middle Temporal Visual Area (MT)." Journal of Neurophysiology 97, no. 2 (2007): 1135–48. http://dx.doi.org/10.1152/jn.01018.2006.

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We investigated the responses of single neurons in the middle temporal area (MT) of anesthetized marmoset monkeys to sine-wave gratings of various lengths and widths. For the vast majority of MT cells maximal responses were obtained on presentation of gratings of specific dimensions, which were typically asymmetrical along the length and width axes. The strength of end inhibition was dependent on the width of the stimulus, with many cells showing clear end inhibition only when wide gratings were used. Conversely, the strength of side inhibition was dependent on stimulus length. Furthermore, fo

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3

Kaas, Jon H., and Leah A. Krubitzer. "Area 17 lesions deactivate area MT in owl monkeys." Visual Neuroscience 9, no. 3-4 (1992): 399–407. http://dx.doi.org/10.1017/s0952523800010804.

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AbstractThe middle temporal visual area, MT, is one of three major targets of the primary visual cortex, area 17, in primates. We assessed the contribution of area 17 connections to the responsiveness of area MT neurons to visual stimuli by first mapping the representation of the visual hemifield in MT of anesthetized owl monkeys with microelectrodes, ablating an electrophysiologically mapped part of area 17, and then immediately remapping MT. Before the lesions, neurons at recording sites throughout MT responded vigorously to moving slits of light and other visual stimuli. In addition, the re

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Albright, Thomas D. "Centrifugal directional bias in the middle temporal visual area (MT) of the macaque." Visual Neuroscience 2, no. 2 (1989): 177–88. http://dx.doi.org/10.1017/s0952523800012037.

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AbstractWe have examined the distribution of preferred directions of motion for neurons in the middle temporal visual area (MT) of the macaque. We found a marked anisotropy favoring directions that are oriented away from the center of gaze. This anisotropy is present only among neurons with peripherally located receptive fields. This peripheral centrifugal directionality bias corresponds well to the biased distribution of motions characteristic of optic flow fields, which are generated by displacement of the visual world during forward locomotion. The bias may facilitate the processing of this

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5

Faria, Fernanda da C. e. C., Jorge Batista, and Helder Araújo. "Biologically inspired computational modeling of motion based on middle temporal area." Paladyn, Journal of Behavioral Robotics 9, no. 1 (2018): 60–71. http://dx.doi.org/10.1515/pjbr-2018-0005.

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Abstract This paper describes a bio-inspired algorithm for motion computation based on V1 (Primary Visual Cortex) andMT (Middle Temporal Area) cells. The behavior of neurons in V1 and MT areas contain significant information to understand the perception of motion. From a computational perspective, the neurons are treated as two dimensional filters to represent the receptive fields of simple cells that compose the complex cells. A modified elaborated Reichardt detector, adding an output exponent before the last stage followed by a re-entry stage of modulating feedback from MT, (reciprocal conne

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6

Goddard, Erin, Samuel G. Solomon, and Thomas A. Carlson. "Dynamic population codes of multiplexed stimulus features in primate area MT." Journal of Neurophysiology 118, no. 1 (2017): 203–18. http://dx.doi.org/10.1152/jn.00954.2016.

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The middle-temporal area (MT) of primate visual cortex is critical in the analysis of visual motion. Single-unit studies suggest that the response dynamics of neurons within area MT depend on stimulus features, but how these dynamics emerge at the population level, and how feature representations interact, is not clear. Here, we used multivariate classification analysis to study how stimulus features are represented in the spiking activity of populations of neurons in area MT of marmoset monkey. Using representational similarity analysis we distinguished the emerging representations of moving

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7

Schmolesky, Matthew T., Youngchang Wang, Doug P. Hanes, et al. "Signal Timing Across the Macaque Visual System." Journal of Neurophysiology 79, no. 6 (1998): 3272–78. http://dx.doi.org/10.1152/jn.1998.79.6.3272.

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Schmolesky, Matthew T., Youngchang Wang, Doug P. Hanes, Kirk G. Thompson, Stefan Leutgeb, Jeffrey D. Schall, and Audie G. Leventhal. Signal timing across the macaque visual system. J. Neurophysiol. 79: 3272–3278, 1998. The onset latencies of single-unit responses evoked by flashing visual stimuli were measured in the parvocellular (P) and magnocellular (M) layers of the dorsal lateral geniculate nucleus (LGNd) and in cortical visual areas V1, V2, V3, V4, middle temporal area (MT), medial superior temporal area (MST), and in the frontal eye field (FEF) in individual anesthetized monkeys. Identi

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8

Masse, Nicolas Y., and Erik P. Cook. "Behavioral Time Course of Microstimulation in Cortical Area MT." Journal of Neurophysiology 103, no. 1 (2010): 334–45. http://dx.doi.org/10.1152/jn.91022.2008.

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Electrical stimulation of the brain is a valuable research tool and has shown therapeutic promise in the development of new sensory neural prosthetics. Despite its widespread use, we still do not fully understand how current passed through a microelectrode interacts with functioning neural circuits. Past behavioral studies have suggested that weak electrical stimulation (referred to as microstimulation) of sensory areas of cortex produces percepts that are similar to those generated by normal sensory stimuli. In contrast, electrophysiological studies using in vitro or anesthetized preparations

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9

Olavarria, J. F., E. A. DeYoe, J. J. Knierim, J. M. Fox, and D. C. van Essen. "Neural responses to visual texture patterns in middle temporal area of the macaque monkey." Journal of Neurophysiology 68, no. 1 (1992): 164–81. http://dx.doi.org/10.1152/jn.1992.68.1.164.

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1. We studied how neurons in the middle temporal visual area (MT) of anesthetized macaque monkeys responded to textured and nontextured visual stimuli. Stimuli contained a central rectangular ,figure- that was either uniform in luminance or consisted of an array of oriented line segments. The figure moved at constant velocity in one of four orthogonal directions. The region surrounding the figure was either uniform in luminance or contained a texture array (whose elements were identical or orthogonal in orientation to those of the figure), and it either was stationary or moved along with the f

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10

Krubitzer, Leah, and Jon Kaas. "Convergence of processing channels in the extrastriate cortex of monkeys." Visual Neuroscience 5, no. 6 (1990): 609–13. http://dx.doi.org/10.1017/s0952523800000778.

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AbstractThe first (V-I) and second (V-II) visual areas of primates contain three types of anatomical segregations of neurons as parts of hypothesized “P-B” or “color”, “P-I” or “form,” and “M” or “motion” processing channels. These channels remain distinct in relays of P-B and P-I information to the inferior temporal lobe via V-II and dorsolateral visual cortex for object recognition, and “M” information to posterior parietal cortex via the middle temporal visual area (MT) for visual tracking and attention. The present anatomical experiments demonstrate another channel where “P-B” modules in V

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