scholarly journals Psychophysical inferences about the interactions within and between sub-populations of striate neurons

2010 ◽  
Vol 5 (8) ◽  
pp. 479-479
Author(s):  
B. C. Hansen ◽  
E. A. Essock ◽  
A. M. Haun
Keyword(s):  
1979 ◽  
Vol 42 (3) ◽  
pp. 818-832 ◽  
Author(s):  
G. A. Orban ◽  
H. Kato ◽  
P. O. Bishop

1979 ◽  
Vol 204 (1157) ◽  
pp. 415-434 ◽  

Receptive field position and orientation disparities are both properties of binocularly discharged striate neurons. Receptive field position disparities have been used as a key element in the neural theory for binocular depth discrimination. Since most striate cells in the cat are binocular, these position disparities require that cells immediately adjacent to one another in the cortex should show a random scatter in their monocular receptive field positions. Superimposed on the progressive topographical representation of the visual field on the striate cortex there is experimental evidence for a localized monocular receptive field position scatter. The suggestion is examined that the binocular position disparities are built up out of the two monocular position scatters. An examination of receptive field orientation disparities and their relation to the random variation in the monocular preferred orientations of immediately adjacent striate neurons also leads to the conclusion that binocular orientation disparities are a consequence of the two monocular scatters. As for receptive field position, the local scatter in preferred orientation is superimposed on a progressive representation of orientation over larger areas of the cortex. The representation in the striate cortex of visual field position and of stimulus orientation is examined in relation to the correlation between the disparities in receptive field position and preferred orientation. The role of orientation disparities in binocular vision is reviewed.


1996 ◽  
Vol 76 (6) ◽  
pp. 3771-3786 ◽  
Author(s):  
M. Kimura ◽  
M. Kato ◽  
H. Shimazaki ◽  
K. Watanabe ◽  
N. Matsumoto

1. We studied the physiology of the neuronal projection from the striatum to the external and internal segments of the globus pallidus (GPe and GPi, respectively) in macaque monkeys. The objective of the study was to answer the following specific questions. 1) Which classes of the electrophysiologically identified striate neurons project to GPe and GPi? 2) What kind of information is transferred from the striatum to GPe and GPi during learned movement? 3) What are the physiological actions of striate projection neurons on target neurons in GPe and GPi? 4) What is the spatial pattern of the striatopallidal projections? 2. Sequential arm and orofacial movements were used as behavioral tasks. Visual stimuli triggered a sequence of three flexions-extensions of the elbow joint across the target, and the click of a solenoid valve triggered repetitive licking movements. 3. Striatopallidal projection neurons were electrophysiologically identified by antidromic activation after focal stimulation of either GPe or GPi. Of two classes of striate neurons, tonically active neurons (TANs) with tonic spontaneous discharges (2–8 imp/s) and broad action potentials, and phasically active neurons (PANs) with a very low spontaneous discharge rate (< 0.5 imp/ s) and high-frequency discharges in relation to behavioral tasks, PANs were identified as the projection neurons to either GPe or GPi. In 325 TANs examined by stimulation of GPe or GPi, no neuron was activated antidromically, even in the case of TANs located in the close vicinity of PANs that were identified as striatopallidal projection neurons. 4. The physiologically identified projection neurons (52 cells) in the striatum exhibited either discharges related to movement (30 cells) or discharges related to preparation for movement (4 cells) during performance of learned motor tasks. The activities of the remaining 17 striatopallidal neurons either were not related to the behavioral tasks used or could not be characterized sufficiently in the tasks. However, all of the unidentified striatopallidal neurons were PANs, on the basis of the spontaneous discharge rate and the shape of the action potential. 5. PANs with movement-related activity and those with preparation for movement-related activity were antidromically activated from the globus pallidus (GP). Not only the PANs that show burst discharges specifically at the beginning of a sequence of movement but also PANs that show phasic discharges time-locked to each movement of a sequence were identified as putaminopallidal projection neurons. On the other hand, no neurons that showed responses to sensory stimulus were identified as putaminopallidal neurons. 6. The conduction velocities of the putaminopallidal axons were estimated at approximately 1 m/s on the basis of the latency of antidromic activation and conduction distance. The PANs with activity only at the beginning of a sequential movement were more frequently found to project to GPi than to GPe, whereas the PANs with burst activity at each movement were more frequently found to project to GPe than to GPi. Among the GPi-projecting PANs, neurons with initial activity only showed a tendency to have longer latencies of activation from GPi than neurons with activity time-locked to each movement. 7. The physiological action of the striatopallidal projection was examined by switching from recording to microstimulation after identification of striatopallidal projection neurons in the putamen while recording evoked field potentials or spike discharges of single GP neurons located where the electrical stimulation evoked antidromic activation of the striate neurons with the lowest threshold. A small majority of GP neurons that exhibited increase of discharges during motor tasks received facilitatory putaminopallidal influences, whereas the vast majority of GP neurons that exhibited decrease of discharges during motor tasks received suppressive putaminopallidal influences.


1992 ◽  
Vol 28 (2) ◽  
pp. 323-327 ◽  
Author(s):  
C. Morin ◽  
S. Molotchnikoff
Keyword(s):  

Neuroscience ◽  
1995 ◽  
Vol 69 (1) ◽  
pp. 51-57 ◽  
Author(s):  
I.A. Shevelev ◽  
R.V. Novikova ◽  
N.A. Lazareva ◽  
A.S. Tikhomirov ◽  
G.A. Sharaev
Keyword(s):  

2013 ◽  
Vol 43 (4) ◽  
pp. 435-442
Author(s):  
N. A. Lazareva ◽  
S. A. Kozhukhov ◽  
R. V. Novikova ◽  
A. S. Tikhomirov ◽  
D. Yu. Tsutskiridze ◽  
...  

Neuroscience ◽  
1999 ◽  
Vol 88 (1) ◽  
pp. 17-25 ◽  
Author(s):  
I.A Shevelev ◽  
N.A Lazareva ◽  
G.A Sharaev ◽  
R.V Novikova ◽  
A.S Tikhomirov
Keyword(s):  

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