Spectral receptive field properties of visually active neurons in the caudate nucleus (original) (raw)
Related papers
European Journal of Neuroscience, 2008
The role of the caudate nucleus (CN) in motor control has been widely studied. Less attention has been paid to the dynamics of visual feedback in motor actions, which is a relevant function of the basal ganglia during the control of eye and body movements. We therefore set out to analyse the visual information processing of neurons in the feline CN. Extracellular single-unit recordings were performed in the CN, where the neuronal responses to drifting gratings of various spatial and temporal frequencies were recorded. The responses of the CN neurons were modulated by the temporal frequency of the grating. The CN units responded optimally to gratings of low spatial frequencies and exhibited low spatial resolution and fine spatial frequency tuning. By contrast, the CN neurons preferred high temporal frequencies, and exhibited high temporal resolution and fine temporal frequency tuning. The spatial and temporal visual properties of the CN neurons enable them to act as spatiotemporal filters. These properties are similar to those observed in certain feline extrageniculate visual structures, i.e. in the superior colliculus, the suprageniculate nucleus and the anterior ectosylvian cortex, but differ strongly from those of the primary visual cortex and the lateral geniculate nucleus. Accordingly, our results suggest a functional relationship of the CN to the extrageniculate tecto-thalamo-cortical system. This system of the mammalian brain may be involved in motion detection, especially in velocity analysis of moving objects, facilitating the detection of changes during the animal's movement.
Experimental Brain Research, 1988
The spatial frequency tuning curves of neurones of area 18 depend upon the velocity of the visual stimulus. The higher the velocity the lower the spatial frequencies to which the cell is tuned. Since in area 17 the size of the cell receptive field is inversely related with the optimal spatial frequency to which the cell responds, we have investigated whether the shift of the optimal spatial frequency with the velocity corresponds to a "change" in the receptive field size. We recorded extracellularly from neurones in area 18; for each cell we selected two gratings, one of high spatial frequency drifting at low velocity and another of low spatial frequency drifting at high velocity to which the cell gave comparable responses. The results show that the masking of the cells receptive field which abolishes the response to the high frequency low velocity grating does not prevent the cell from responding to the low frequency high velocity grating. We conclude that the size of the receptive field of neurones in area 18 depends upon the characteristics (spatial frequency and velocity) of the visual stimulus.
Visual orientation and spatial frequency discrimination: a comparison of single neurons and behavior
Journal of neurophysiology, 1987
Neurons in the visual cortex respond selectively to stimulus orientation and spatial frequency. Changes in response amplitudes of these neurons could be the neurophysiological basis of orientation and spatial frequency discrimination. We have estimated the minimum differences in stimulus orientation and spatial frequency that can produce reliable changes in the responses of individual neurons in cat visual cortex. We compare these values with orientation and spatial frequency discrimination thresholds determined behaviorally. Slopes of the tuning functions and response variability determine the minimum orientation and spatial frequency differences that can elicit a reliable response change. These minimum values were obtained from single cells using receiver operating characteristic (ROC) analysis. The average minimum orientation and spatial frequency differences that could be signaled reliably by cells from our sample were 6.4 degrees (n = 22) and 21.3% (n = 18), respectively. These...
Responses of neurons in the parietal and temporal visual pathways during a motion task
The Journal of neuroscience : the official journal of the Society for Neuroscience, 1994
The visual cortex of macaque monkeys has been divided into two functional streams that have been characterized in terms of sensory processing (color/form vs motion) and in terms of behavioral goals (object recognition vs spatial orientation). As a step toward unifying these two views of cortical processing, we compared the behavioral modulation of sensory signals across the two streams in monkeys trained to do a visual short-term memory task. We recorded from individual neurons in areas MT, MST, 7a, and V4 while monkeys performed a delayed match-to-sample task using direction of motion as the matching criterion. This task allowed us to determine if sensory responses were modulated by extraretinal signals related to the direction of the remembered sample. We sorted neuronal responses as a function of the remembered direction and calculated a modulation index, MI = (maximum response--minimum response)/(maximum response + minimum response). In the motion pathway, we found virtually no ...
Complex motion sensitivity of neurons, in the visual part of the anterior ectosylvian cortex in cats
Neuroscience, 2008
In cats, it is generally believed that the visual part of the anterior ectosylvian cortex (AEV) is involved in motion integration. It receives a substantial proportion of its afferents from cortical (e.g. lateral suprasylvian cortex) and subcortical (e.g. lateral posterior-pulvinar complex) areas known to participate in complex motion analysis. It has been established that a subset of AEV neurons can code the veridical motion of a moving plaid pattern (pattern-motion selectivity). In our study, we have further investigated the possibility that AEV neurons may play a role in higher-order motion processing by studying their responses to complex stimuli which necessitate higher order spatial and temporal integration. Experiments were performed in anesthetized adult cats. Classical receptive fields were stimulated with (1) complex random-dot kinematograms (RDKs), where the individual elements of the pattern do not provide coherent motion cues; (2) optic flow fields which require global spatial integration. We report that a large proportion of AEV neurons were selective to the direction and speed of RDKs. Close to two-thirds of the cells were selective to the direction of optic flow fields with about equal proportions being selective to contraction and expansion. The complex RDK and optic flow responsive units could not be systematically characterized based on their responses to plaid patterns; they were either pattern-or component-motion selective. These findings support the proposal that AEV is involved in higher-order motion processing. Our data suggest that the AEV may be more involved in the analysis of motion of visual patterns in relation to the animal's behavior rather than the analysis of the constituents of the patterns.
Visual Pathways Serving Motion Detection in the Mammalian Brain
Sensors, 2010
Motion perception is the process through which one gathers information on the dynamic visual world, in terms of the speed and movement direction of its elements. Motion sensation takes place from the retinal light sensitive elements, through the visual thalamus, the primary and higher visual cortices. In the present review we aim to focus on the extrageniculo-extrastriate cortical and subcortical visual structures of the feline and macaque brain and discuss their functional role in visual motion perception. Special attention is paid to the ascending tectofugal system that may serve for detection of the visual environment during self-motion.
Spectral receptive field properties of neurons in the feline superior colliculus
Experimental brain …, 2007
The spatio-temporal frequency response pro-Wles of 73 neurons located in the superWcial, retino-recipient layers of the feline superior colliculus (SC) were investigated. The majority of the SC cells responded optimally to very low spatial frequencies with a mean of 0.1 cycles/degree (c/deg). The spatial resolution was also low with a mean of 0.31 c/deg. The spatial frequency tuning functions were either low-pass or band-pass with a mean spatial frequency bandwidth of 1.84 octaves. The cells responded optimally to a range of temporal frequencies between 0.74 cycles/s (c/s) and 26.41 c/s with a mean of 6.84 c/s. The majority (68%) of the SC cells showed band-pass temporal frequency tuning with a mean temporal frequency bandwidth of 2.4 octaves, while smaller proportions of the SC units displayed high-pass (19%), low-pass (8%) or broad-band (5%) temporal tuning. Most of the SC units exhibited simple spectral tuning with a single maximum in the spatio-temporal frequency domain, while some neurons were tuned for spatial or temporal frequencies or speed tuned. Further, we found cells excited by gratings moving at high temporal and low spatial frequencies and cells whose activity was suppressed by high velocity movement. The spatio-temporal Wlter properties of the SC neurons show close similarities to those of their retinal Y and W inputs as well as those of their inputs from the cortical visual motion detector areas, suggesting their common role in motion analysis and related behavioral actions.