Effects of convergent strabismus on spatio-temporal response properties of neurons in cat area 18

1988 ◽  
Vol 72 (2) ◽  
pp. 264-278 ◽  
Author(s):  
Y. M. Chino ◽  
W. H. Ridder ◽  
E. P. Czora
Keyword(s):  
Temporal Response ◽  
Response Properties ◽  
Area 18 ◽  
Convergent Strabismus ◽  
Spatio Temporal

scholarly journals The impulse response of optic flow-sensitive descending neurons to roll m-sequences

2021 ◽  
Vol 224 (23) ◽  
Author(s):  
Richard Leibbrandt ◽  
Sarah Nicholas ◽  
Karin Nordström
Keyword(s):  
Impulse Response ◽  
Optic Flow ◽  
Temporal Response ◽  
Impulse Responses ◽  
Response Properties ◽  
Time To Peak ◽  
Descending Neurons ◽  
Spatio Temporal ◽  
Head Roll ◽  
M Sequences

ABSTRACT When animals move through the world, their own movements generate widefield optic flow across their eyes. In insects, such widefield motion is encoded by optic lobe neurons. These lobula plate tangential cells (LPTCs) synapse with optic flow-sensitive descending neurons, which in turn project to areas that control neck, wing and leg movements. As the descending neurons play a role in sensorimotor transformation, it is important to understand their spatio-temporal response properties. Recent work shows that a relatively fast and efficient way to quantify such response properties is to use m-sequences or other white noise techniques. Therefore, here we used m-sequences to quantify the impulse responses of optic flow-sensitive descending neurons in male Eristalis tenax hoverflies. We focused on roll impulse responses as hoverflies perform exquisite head roll stabilizing reflexes, and the descending neurons respond particularly well to roll. We found that the roll impulse responses were fast, peaking after 16.5–18.0 ms. This is similar to the impulse response time to peak (18.3 ms) to widefield horizontal motion recorded in hoverfly LPTCs. We found that the roll impulse response amplitude scaled with the size of the stimulus impulse, and that its shape could be affected by the addition of constant velocity roll or lift. For example, the roll impulse response became faster and stronger with the addition of excitatory stimuli, and vice versa. We also found that the roll impulse response had a long return to baseline, which was significantly and substantially reduced by the addition of either roll or lift.

Spatio-temporal response properties of local field potentials in the primate superior colliculus

2015 ◽  
Vol 41 (6) ◽  
pp. 856-865 ◽  
Author(s):  
Takuro Ikeda ◽  
Susan E. Boehnke ◽  
Robert A. Marino ◽  
Brian J. White ◽  
Chin-An Wang ◽  
...  
Keyword(s):  
Superior Colliculus ◽  
Local Field ◽  
Local Field Potentials ◽  
Field Potentials ◽  
Temporal Response ◽  
Response Properties ◽  
Spatio Temporal

Spatio-temporal response of forest-dwelling chamois to red deer presence

2021 ◽  
Author(s):  
Krešimir Kavčić ◽  
Tena Radočaj ◽  
Luca Corlatti ◽  
Toni Safner ◽  
Ana Gračanin ◽  
...  
Keyword(s):  
Red Deer ◽  
Temporal Response ◽  
Spatio Temporal

scholarly journals Spatio-temporal requirements for direction selectivity in area 18 and PMLS complex cells

2005 ◽  
Vol 45 (13) ◽  
pp. 1769-1779 ◽  
Author(s):  
Ildikó Vajda ◽  
Martin J.M. Lankheet ◽  
Wim A. van de Grind
Keyword(s):  
Direction Selectivity ◽  
Complex Cells ◽  
Area 18 ◽  
Spatio Temporal

scholarly journals Understanding the Spatio-Temporal Response of Coral Reef Fish Communities to Natural Disturbances: Insights from Beta-Diversity Decomposition

PLoS ONE ◽  
2015 ◽  
Vol 10 (9) ◽  
pp. e0138696 ◽  
Author(s):  
Thomas Lamy ◽  
Pierre Legendre ◽  
Yannick Chancerelle ◽  
Gilles Siu ◽  
Joachim Claudet
Keyword(s):  
Coral Reef ◽  
Reef Fish ◽  
Coral Reef Fish ◽  
Beta Diversity ◽  
Fish Communities ◽  
Natural Disturbances ◽  
Temporal Response ◽  
Spatio Temporal

Representation of Spectral and Temporal Sound Features in Three Cortical Fields of the Cat. Similarities Outweigh Differences

1998 ◽  
Vol 80 (5) ◽  
pp. 2743-2764 ◽  
Author(s):  
Jos J. Eggermont
Keyword(s):  
Auditory Cortex ◽  
Frequency Tuning ◽  
Tuning Curve ◽  
Primary Auditory Cortex ◽  
Temporal Coding ◽  
Modulation Transfer ◽  
Temporal Response ◽  
Response Latencies ◽  
Response Properties ◽  
Sound Features

Eggermont, Jos J. Representation of spectral and temporal sound features in three cortical fields of the cat. Similarities outweigh differences. J. Neurophysiol. 80: 2743–2764, 1998. This study investigates the degree of similarity of three different auditory cortical areas with respect to the coding of periodic stimuli. Simultaneous single- and multiunit recordings in response to periodic stimuli were made from primary auditory cortex (AI), anterior auditory field (AAF), and secondary auditory cortex (AII) in the cat to addresses the following questions: is there, within each cortical area, a difference in the temporal coding of periodic click trains, amplitude-modulated (AM) noise bursts, and AM tone bursts? Is there a difference in this coding between the three cortical fields? Is the coding based on the temporal modulation transfer function (tMTF) and on the all-order interspike-interval (ISI) histogram the same? Is the perceptual distinction between rhythm and roughness for AM stimuli related to a temporal versus spatial representation of AM frequency in auditory cortex? Are interarea differences in temporal response properties related to differences in frequency tuning? The results showed that: 1) AM stimuli produce much higher best modulation frequencies (BMFs) and limiting rates than periodic click trains. 2) For periodic click trains and AM noise, the BMFs and limiting rates were not significantly different for the three areas. However, for AM tones the BMF and limiting rates were about a factor 2 lower in AAF compared with the other areas. 3) The representation of stimulus periodicity in ISIs resulted in significantly lower mean BMFs and limiting rates compared with those estimated from the tMTFs. The difference was relatively small for periodic click trains but quite large for both AM stimuli, especially in AI and AII. 4) Modulation frequencies <20 Hz were represented in the ISIs, suggesting that rhythm is coded in auditory cortex in temporal fashion. 5) In general only a modest interdependence of spectral- and temporal-response properties in AI and AII was found. The BMFs were correlated positively with characteristic frequency in AAF. The limiting rate was positively correlated with the frequency-tuning curve bandwidth in AI and AII but not in AAF. Only in AAF was a correlation between BMF and minimum latency was found. Thus whereas differences were found in the frequency-tuning curve bandwidth and minimum response latencies among the three areas, the coding of periodic stimuli in these areas was fairly similar with the exception of the very poor representation of AM tones in AII. This suggests a strong parallel processing organization in auditory cortex.

403 Image Feature Extraction using Spatio-temporal response of Parallel Analog Circuit

2014 ◽  
Vol 2014.63 (0) ◽  
pp. _403-1_-_403-2_
Author(s):  
Yuki MINAKAWA ◽  
Yusuke HIRAMATSU ◽  
Shigemichi OHSHIMA
Keyword(s):  
Feature Extraction ◽  
Analog Circuit ◽  
Image Feature ◽  
Temporal Response ◽  
Image Feature Extraction ◽  
Spatio Temporal
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