Integration and segregation of multiple motion signals by neurons in area MT of primate

2014 ◽  
Vol 111 (2) ◽  
pp. 369-378 ◽  
Author(s):  
J. Scott McDonald ◽  
Colin W. G. Clifford ◽  
Selina S. Solomon ◽  
Spencer C. Chen ◽  
Samuel G. Solomon
Keyword(s):  
Single Unit ◽  
Multielectrode Arrays ◽  
Single Unit Recording ◽  
Population Response ◽  
Unit Recording ◽  
Temporal Area ◽  
Middle Temporal ◽  
Transparent Motion ◽  
Response Profile ◽  
Plaid Motion

We used multielectrode arrays to measure the response of populations of neurons in primate middle temporal area to the transparent motion of two superimposed dot fields moving in different directions. The shape of the population response was well predicted by the sum of the responses to the constituent fields. However, the population response profile for transparent dot fields was similar to that for coherent plaid motion and hence an unreliable cue to transparency. We then used single-unit recording to characterize component and pattern cells from their response to drifting plaids. Unlike for plaids, component cells responded to the average direction of superimposed dot fields, whereas pattern cells could signal the constituent motions. This observation provides support for a strong prediction of the Simoncelli and Heeger (1998) model of motion analysis in area middle temporal, and suggests that pattern cells have a special status in the processing of superimposed dot fields.

scholarly journals Pressure-clamped single-fiber recording technique: A new recording method for studying sensory receptors

2020 ◽  
Vol 16 ◽  
pp. 174480692092785 ◽  
Author(s):  
Mayumi Sonekatsu ◽  
Hiroshi Yamada ◽  
Jianguo G Gu
Keyword(s):  
Nerve Fiber ◽  
Single Unit ◽  
Single Fiber ◽  
Single Unit Recording ◽  
Sensory Receptors ◽  
Unit Recording ◽  
Recording Technique ◽  
C Fibers ◽  
Recording Method ◽  
Single Nerve

An electrophysiological technique that can record nerve impulses from a single nerve fiber is indispensable for studying modality-specific sensory receptors such as low threshold mechanoreceptors, thermal receptors, and nociceptors. The teased-fiber single-unit recording technique has long been used to resolve impulses that are likely to be from a single nerve fiber. The teased-fiber single-unit recording technique involves tedious nerve separation procedures, causes nerve fiber impairment, and is not a true single-fiber recording method. In the present study, we describe a new and true single-fiber recording technique, the pressure-clamped single-fiber recording method. We have applied this recording technique to mouse whisker hair follicle preparations with attached whisker afferents as well as to skin-nerve preparations made from mouse hindpaw skin and saphenous nerves. This new approach can record impulses from rapidly adapting mechanoreceptors (RA), slowly adapting type 1 mechanoreceptors (SA1), and slowly adapting type 2 mechanoreceptors (SA2) in these tissue preparations. We have also applied the pressure-clamped single-fiber recordings to record impulses on Aβ-fibers, Aδ-fibers, and C-fibers. The pressure-clamped single-fiber recording technique provides a new tool for sensory physiology and pain research.

On the search for the vocal pattern generator. A single-unit recording study

Neuroreport ◽  
2000 ◽  
Vol 11 (9) ◽  
pp. 2031-2034 ◽  
Author(s):  
Frank Düsterhöft ◽  
Udo Häusler ◽  
Uwe Jürgens
Keyword(s):  
Single Unit ◽  
Pattern Generator ◽  
Single Unit Recording ◽  
Unit Recording

scholarly journals Dynamic population codes of multiplexed stimulus features in primate area MT

2017 ◽  
Vol 118 (1) ◽  
pp. 203-218 ◽  
Author(s):  
Erin Goddard ◽  
Samuel G. Solomon ◽  
Thomas A. Carlson
Keyword(s):  
Population Level ◽  
Similarity Analysis ◽  
Population Response ◽  
Classification Analysis ◽  
Area Mt ◽  
Temporal Area ◽  
Middle Temporal ◽  
Feature Representations ◽  
Spatial Frequencies ◽  
Stimulus Features

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 grating and dot field stimuli. We show that representations of stimulus orientation, spatial frequency, and speed are evident near the onset of the population response, while the representation of stimulus direction is slower to emerge and sustained throughout the stimulus-evoked response. We further found a spatiotemporal asymmetry in the emergence of direction representations. Representations for high spatial frequencies and low temporal frequencies are initially orientation dependent, while those for high temporal frequencies and low spatial frequencies are more sensitive to motion direction. Our analyses reveal a complex interplay of feature representations in area MT population response that may explain the stimulus-dependent dynamics of motion vision. NEW & NOTEWORTHY Simultaneous multielectrode recordings can measure population-level codes that previously were only inferred from single-electrode recordings. However, many multielectrode recordings are analyzed using univariate single-electrode analysis approaches, which fail to fully utilize the population-level information. Here, we overcome these limitations by applying multivariate pattern classification analysis and representational similarity analysis to large-scale recordings from middle-temporal area (MT) in marmoset monkeys. Our analyses reveal a dynamic interplay of feature representations in area MT population response.

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