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

McDonald, J. Scott; Clifford, Colin W. G.; Solomon, Selina S.; Chen, Spencer C.; Solomon, Samuel G.

doi:10.1152/jn.00254.2013

Cited by 53 publications

(58 citation statements)

References 32 publications

(52 reference statements)

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“…This is consistent with the distribution of likelihood (Graf et al 2011;Jazayeri and Movshon 2006) or Fisher information (Tzvetanov and Womelsdorf 2008) across the neural population. Similar "flank-encoding" representations have been implicated in the discrimination of other visual features: spatial frequency (Bradley et al 1987), orientation (Beaudot and Mullen 2006;Graf et al 2011;Paradiso 1988;Pouget and Thorpe 1991), and motion direction (McDonald et al 2014;Purushothaman and Bradley 2005;Seung and Sompolinsky 1993;Tzvetanov and Womelsdorf 2008).…”

Section: Discussionmentioning

confidence: 86%

“…The reduced resolution in periphery reflects an increase in average receptive-field size from of 6.3°to 11.7°. In a separate recording from the same animals, we estimated the directional tuning of multiunit activity for a field of moving dots (McDonald et al 2014). Full-width, half-maximum directional tuning bandwidth was an angular 130°(Ϯ54 SD) and was similar for neurons with parafoveal and peripheral receptive fields (P ϭ 0.10, t-test); a commonly used index of directional selectivity (1 Ϫ resp null /resp pref ) in the same recordings was 0.81 (Ϯ0.34 SD).…”

Section: Resultsmentioning

confidence: 99%

“…Second, the presence of a stimulus brings neurons away from spike threshold and allows more of the shared membrane-potential fluctuations to be visible in spiking activity (Cohen and Kohn 2011)-spike correlations are stronger when the stimulus is within the receptive fields of the relevant neurons. Third, neurons with similar receptive fields, those close together in the cortical sheet, show stronger correlations [e.g., McDonald et al (2014) and Smith and Kohn (2008)]. …”

Section: Discussionmentioning

confidence: 99%

“…The surgical and recording procedures have been detailed previously (McDonald et al 2014;. All procedures were approved by the University of Sydney Animal Ethics Committee and conform to Australian National Health and Medical Research Council (NHMRC) policies on the use of animals in neuroscience research.…”

Section: Methodsmentioning

confidence: 99%

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Spatial precision of population activity in primate area MT

Chen

Morley

Solomon

2015

Journal of Neurophysiology

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Chen SC, Morley JW, Solomon SG. Spatial precision of population activity in primate area MT. J Neurophysiol 114: 869 -878, 2015. First published June 3, 2015 doi:10.1152/jn.00152.2015.-The middle temporal (MT) area is a cortical area integral to the "where" pathway of primate visual processing, signaling the movement and position of objects in the visual world. The receptive field of a single MT neuron is sensitive to the direction of object motion but is too large to signal precise spatial position. Here, we asked if the activity of MT neurons could be combined to support the high spatial precision required in the where pathway. With the use of multielectrode arrays, we recorded simultaneously neural activity at 24 -65 sites in area MT of anesthetized marmoset monkeys. We found that although individual receptive fields span more than 5°of the visual field, the combined population response can support fine spatial discriminations (Ͻ0.2°). This is because receptive fields at neighboring sites overlapped substantially, and changes in spatial position are therefore projected onto neural activity in a large ensemble of neurons. This fine spatial discrimination is supported primarily by neurons with receptive fields flanking the target locations. Population performance is degraded (by 13-22%) when correlations in neural activity are ignored, further reflecting the contribution of population neural interactions. Our results show that population signals can provide high spatial precision despite large receptive fields, allowing area MT to represent both the motion and the position of objects in the visual world.

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Section: Discussionmentioning

confidence: 86%

Section: Resultsmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

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Spatial precision of population activity in primate area MT

Chen

Morley

Solomon

2015

Journal of Neurophysiology

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“…A few previous studies have examined interactions between visual motion patterns that simulate self-motion and object motion in area MSTd (Logan and Duffy, 2006;Sato et al, 2010;Kishore et al, 2012). These studies show that MSTd responses depend on self-motion and object motion in complex ways, but they did not systematically explore the joint tuning of MSTd neurons for heading and object direction, nor how nonvisual inputs influence the joint representation of self-motion and object motion.…”

Section: Introductionmentioning

confidence: 99%

Dissociation of Self-Motion and Object Motion by Linear Population Decoding That Approximates Marginalization

2017

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We use visual image motion to judge the movement of objects, as well as our own movements through the environment. Generally, image motion components caused by object motion and self-motion are confounded in the retinal image. Thus, to estimate heading, the brain would ideally marginalize out the effects of object motion (or vice versa), but little is known about how this is accomplished neurally. Behavioral studies suggest that vestibular signals play a role in dissociating object motion and self-motion, and recent computational work suggests that a linear decoder can approximate marginalization by taking advantage of diverse multisensory representations. By measuring responses of MSTd neurons in two male rhesus monkeys and by applying a recently-developed method to approximate marginalization by linear population decoding, we tested the hypothesis that vestibular signals help to dissociate self-motion and object motion. We show that vestibular signals stabilize tuning for heading in neurons with congruent visual and vestibular heading preferences, whereas they stabilize tuning for object motion in neurons with discrepant preferences. Thus, vestibular signals enhance the separability of joint tuning for object motion and self-motion. We further show that a linear decoder, designed to approximate marginalization, allows the population to represent either self-motion or object motion with good accuracy. Decoder weights are broadly consistent with a readout strategy, suggested by recent computational work, in which responses are decoded according to the vestibular preferences of multisensory neurons. These results demonstrate, at both single neuron and population levels, that vestibular signals help to dissociate self-motion and object motion.

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Anatomical and functional neuroimaging in awake, behaving marmosets

Silva

2016

Developmental Neurobiology

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The common marmoset (Callithrix jacchus) is a small New World monkey that has gained significant recent interest in neuroscience research, due in great part for its compatibility with gene editing techniques, but also due to its tremendous versatility as an experimental animal model. Neuroimaging modalities, including anatomical (MRI) and functional magnetic resonance imaging (fMRI), complemented by two-photon laser scanning microscopy and electrophysiology, have been at the forefront of unraveling the anatomical and functional organization of the marmoset brain. High resolution anatomical MRI of the marmoset brain can be obtained with remarkable cytoarchitectonic detail. Functional MRI of the marmoset brain has been used to study various sensory systems, including somatosensory, auditory and visual pathways, while resting-state fMRI studies have unraveled functional brain networks that bear great correspondence to those previously described in humans. Two-photon laser scanning microscopy of the marmoset brain has enabled the simultaneous recording of neuronal activity from thousands of neurons with single cell spatial resolution. In this article, we aim to review the main results obtained by our group and our colleagues in applying neuroimaging techniques to study the marmoset brain.

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

Abstract: McDonald JS, Clifford CW, Solomon SS, Chen SC, Solomon SG. Integration and segregation of multiple motion signals by neurons in area MT of primate.

Cited by 53 publications

References 32 publications

Spatial precision of population activity in primate area MT

Spatial precision of population activity in primate area MT

Dissociation of Self-Motion and Object Motion by Linear Population Decoding That Approximates Marginalization

Anatomical and functional neuroimaging in awake, behaving marmosets

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