Some collicular efferent neurons code saccadic eye velocity

1986 ◽  
Vol 72 (3) ◽  
pp. 289-294 ◽  
Author(s):  
A. Berthoz ◽  
A. Grantyn ◽  
J. Droulez
2005 ◽  
Vol 52 (3) ◽  
pp. 147-150 ◽  
Author(s):  
Peter Zwanzger ◽  
Cornelius Schüle ◽  
Daniela Eser ◽  
Thomas C. Baghai ◽  
Frank Padberg ◽  
...  

2020 ◽  
Vol 4 ◽  
pp. 100009
Author(s):  
Taran Giddey ◽  
Natalie Thomas ◽  
Abdul-Rahman Hudaib ◽  
Elizabeth H.X. Thomas ◽  
Jessica Le ◽  
...  

2006 ◽  
Vol 31 (10) ◽  
pp. 1190-1199 ◽  
Author(s):  
F. van Broekhoven ◽  
T. Bäckström ◽  
R.J. Verkes

2021 ◽  
Vol 429 ◽  
pp. 119539
Author(s):  
Clara Grazia Chisari ◽  
Giovanni Mostile ◽  
Claudio Terravecchia ◽  
Antonina Luca ◽  
Giorgia Sciacca ◽  
...  

2015 ◽  
Vol 52 ◽  
pp. 22-31 ◽  
Author(s):  
Sara K.S. Bengtsson ◽  
Sigrid Nyberg ◽  
Helena Hedström ◽  
Elisabeth Zingmark ◽  
Björn Jonsson ◽  
...  

1989 ◽  
Vol 32 (3) ◽  
pp. 681-687 ◽  
Author(s):  
C. Formby ◽  
B. Albritton ◽  
I. M. Rivera

We describe preliminary attempts to fit a mathematical function to the slow-component eye velocity (SCV) over the time course of caloric-induced nystagmus. Initially, we consider a Weibull equation with three parameters. These parameters are estimated by a least-squares procedure to fit digitized SCV data. We present examples of SCV data and fitted curves to show how adjustments in the parameters of the model affect the fitted curve. The best fitting parameters are presented for curves fit to 120 warm caloric responses. The fitting parameters and the efficacy of the fitted curves are compared before and after the SCV data were smoothed to reduce response variability. We also consider a more flexible four-parameter Weibull equation that, for 98% of the smoothed caloric responses, yields fits that describe the data more precisely than a line through the mean. Finally, we consider advantages and problems in fitting the Weibull function to caloric data.


1995 ◽  
Vol 74 (3) ◽  
pp. 1367-1372 ◽  
Author(s):  
G. Cheron ◽  
S. Saussez ◽  
N. Gerrits ◽  
E. Godaux

1. Properties of nucleus incertus (NIC) neurons projecting to the cerebellar flocculus were studied in alert cats by using chronic unit and eye movement recording and antidromic activation. Projection of these neurons onto the flocculus was verified with retrograde transport of horseradish peroxidase after injections in the flocculus. 2. Bipolar stimulation electrodes were implanted into the "middle" zone of each flocculus because this zone is known to be involved in the control of horizontal eye movements. The dorsomedial aspect of the pontine tegmentum was explored with microelectrodes during stimulation of both flocculi. The majority of neurons antidromically activated from the flocculus were found in the caudal part of the NIC. 3. Of the 69 neurons activated from the flocculus, 44 were classified as burst-tonic (BT) neurons; 34 discharged in relation with horizontal movements of the eye, 10 in relation with vertical movements. Of the 14 remaining neurons, 6 were not related to eye movements and 8 were classified as burst neurons. The BT neurons of the NIC displayed a great sensitivity to both horizontal eye position and horizontal eye velocity. 4. This study demonstrates the presence of a new group of horizontal eye movement related BT neurons situated in the NIC. The fact that they project to the horizontal floccular zone emphasizes the importance of the functional specialization of the different Purkinje cell zones.


1996 ◽  
Vol 781 (1 Lipids and Sy) ◽  
pp. 614-618 ◽  
Author(s):  
P. ERRICO ◽  
A. A. FERRARESI ◽  
N. H. BARMACK ◽  
V. E. PETTOROSSF

1999 ◽  
Vol 202 (10) ◽  
pp. 1349-1355 ◽  
Author(s):  
J.C. Montgomery ◽  
D. Bodznick

Analyzing signal and noise for any sensory system requires an appreciation of the biological and physical milieu of the animal. Behavioral studies show that elasmobranchs use their electrosensory systems extensively for prey detection, but also for mate recognition and possibly for navigation. These biologically important signals are detected against a background of self-generated bioelectric fields. Noise-suppression mechanisms can be recognized at a number of different levels: behavior, receptor anatomy and physiology, and at the early stages of sensory processing. The peripheral filters and receptor characteristics provide a detector with permissive temporal properties but restrictive spatial characteristics. Biologically important signals probably cover the range from direct current to 10 Hz, whereas the bandwidth of the receptors is more like 0.1-10 Hz. This degree of alternating current coupling overcomes significant noise problems while still allowing the animal to detect external direct current signals by its own movement. Self-generated bioelectric fields modulated by breathing movement have similar temporal characteristics to important external signals and produce very strong modulation of electrosensory afferents. This sensory reafference is essentially similar, or common-mode, across all afferent fibers. The principal electrosensory neurons (ascending efferent neurons; AENs) of the dorsal octavolateralis nucleus show a greatly reduced response to common-mode signals. This suppression is mediated by the balanced excitatory and inhibitory components of their spatial receptive fields. The receptive field characteristics of AENs determine the information extracted from external stimuli for further central processing.


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