Cognitive processing impairments in a supra-second temporal discrimination task in rats with cerebellar lesion

2009 ◽  
Vol 91 (3) ◽  
pp. 250-259 ◽  
Author(s):  
Delphine Callu ◽  
Nicole El Massioui ◽  
Gérard Dutrieux ◽  
Bruce L. Brown ◽  
Valérie Doyere
2017 ◽  
Vol 20 (6) ◽  
pp. 1129-1136 ◽  
Author(s):  
Carlos Pinto ◽  
Inês Fortes ◽  
Armando Machado

2019 ◽  
Vol 10 ◽  
Author(s):  
András Matuz ◽  
Dimitri Van der Linden ◽  
Kristóf Topa ◽  
Árpád Csathó

2013 ◽  
Vol 124 (10) ◽  
pp. e97
Author(s):  
F. Giovannelli ◽  
A. Ragazzoni ◽  
D. Battista ◽  
T. Marzi ◽  
G. Zaccara ◽  
...  

2008 ◽  
Vol 187 (1) ◽  
pp. 159-171 ◽  
Author(s):  
R.J. Kyd ◽  
J.M. Pearce ◽  
M. Haselgrove ◽  
E. Amin ◽  
J.P. Aggleton

2015 ◽  
Vol 112 (39) ◽  
pp. 12187-12192 ◽  
Author(s):  
Thomas J. Baumgarten ◽  
Alfons Schnitzler ◽  
Joachim Lange

Whether seeing a movie, listening to a song, or feeling a breeze on the skin, we coherently experience these stimuli as continuous, seamless percepts. However, there are rare perceptual phenomena that argue against continuous perception but, instead, suggest discrete processing of sensory input. Empirical evidence supporting such a discrete mechanism, however, remains scarce and comes entirely from the visual domain. Here, we demonstrate compelling evidence for discrete perceptual sampling in the somatosensory domain. Using magnetoencephalography (MEG) and a tactile temporal discrimination task in humans, we find that oscillatory alpha- and low beta-band (8–20 Hz) cycles in primary somatosensory cortex represent neurophysiological correlates of discrete perceptual cycles. Our results agree with several theoretical concepts of discrete perceptual sampling and empirical evidence of perceptual cycles in the visual domain. Critically, these results show that discrete perceptual cycles are not domain-specific, and thus restricted to the visual domain, but extend to the somatosensory domain.


2018 ◽  
Vol 120 (4) ◽  
pp. 1655-1670 ◽  
Author(s):  
Brian J. Schriver ◽  
Svetlana Bagdasarov ◽  
Qi Wang

Non-luminance-mediated changes in pupil size have been widely used to index arousal state. Recent animal studies have demonstrated correlations between behavioral state-related pupil dynamics and sensory processing. However, the relationship between pupil-linked arousal and behavior in animals performing perceptual tasks has not been fully elucidated. In the present study, we trained head-fixed rats to discriminate between directions of whisker movements using a Go/No-Go discrimination paradigm while imaging their pupils. Reaction times in this discrimination task were significantly slower than in previously reported detection tasks with similar setup, suggesting that discrimination required an increased cognitive load. We found the pupils dilated for all trials following stimulus presentation. Interestingly, in correct rejection trials, where pupil dilations solely resulted from cognitive processing, dilations were larger for more difficult stimuli. Baseline pupil size before stimulus presentation strongly correlated with behavior, as perceptual sensitivity peaked at intermediate pupil baselines and reaction time was fastest at large baselines. We further explored these relationships by investigating to what extent pupil baseline was predictive of upcoming behavior and found that a Bayesian decoder had significantly greater-than-chance probability in correctly predicting behavioral outcomes. Moreover, the outcome of the previous trial showed a strong correlation with behavior on present trials. Animals were more liberal and faster in responding following hit trials, whereas perceptual sensitivity was greatest following correct rejection trials. Taken together, these results suggest a tight correlation between pupil dynamics, perceptual performance, and reaction time in behaving rats, all of which are modulated by fluctuating arousal state. NEW & NOTEWORTHY In this study, we for the first time demonstrated that head-fixed rats were able to discriminate different directions of whisker movement. Interestingly, we found that the pupil dilated more when discriminating more difficult stimuli, a phenomenon reported in human subjects but not in animals. Baseline pupil size before stimulus presentation was found to strongly correlate with behavior, and a Bayesian decoder had significantly greater-than-chance probability in correctly predicting behavioral outcomes based on the baseline pupil size.


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