scholarly journals Purkinje cell activity in the cerebellar anterior lobe after rabbit eyeblink conditioning

2005 ◽  
Vol 12 (3) ◽  
pp. 260-269 ◽  
Author(s):  
J. T. Green
Keyword(s):  
Purkinje Cell ◽  
Eyeblink Conditioning ◽  
Cell Activity ◽  
Anterior Lobe

Purkinje cell activity during learning a new timing in classical eyeblink conditioning

2003 ◽  
Vol 994 (2) ◽  
pp. 193-202 ◽  
Author(s):  
Sadaharu Kotani ◽  
Shigenori Kawahara ◽  
Yutaka Kirino
Keyword(s):  
Purkinje Cell ◽  
Eyeblink Conditioning ◽  
Cell Activity

Purkinje cell activity during classical eyeblink conditioning in decerebrate guinea pigs

2006 ◽  
Vol 1068 (1) ◽  
pp. 70-81 ◽  
Author(s):  
Sadaharu Kotani ◽  
Shigenori Kawahara ◽  
Yutaka Kirino
Keyword(s):  
Purkinje Cell ◽  
Guinea Pigs ◽  
Eyeblink Conditioning ◽  
Cell Activity

scholarly journals Purkinje cell activity during classical conditioning with different conditional stimuli explains central tenet of Rescorla–Wagner model

2015 ◽  
Vol 112 (45) ◽  
pp. 14060-14065 ◽  
Author(s):  
Anders Rasmussen ◽  
Riccardo Zucca ◽  
Fredrik Johansson ◽  
Dan-Anders Jirenhed ◽  
Germund Hesslow
Keyword(s):  
Purkinje Cell ◽  
Purkinje Cells ◽  
Compound Stimulus ◽  
Eyeblink Conditioning ◽  
Unconditional Stimulus ◽  
Cell Activity ◽  
Neural Mechanisms ◽  
Wagner Model ◽  
Central Tenet ◽  
Reinforcement Value

A central tenet of Rescorla and Wagner’s model of associative learning is that the reinforcement value of a paired trial diminishes as the associative strength between the presented stimuli increases. Despite its fundamental importance to behavioral sciences, the neural mechanisms underlying the model have not been fully explored. Here, we present findings that, taken together, can explain why a stronger association leads to a reduced reinforcement value, within the context of eyeblink conditioning. Specifically, we show that learned pause responses in Purkinje cells, which trigger adaptively timed conditioned eyeblinks, suppress the unconditional stimulus (US) signal in a graded manner. Furthermore, by examining how Purkinje cells respond to two distinct conditional stimuli and to a compound stimulus, we provide evidence that could potentially help explain the somewhat counterintuitive overexpectation phenomenon, which was derived from the Rescorla–Wagner model.

Involvement of spot 35 protein, a cerebellar protein, in modulation of Purkinje cell activity of the rat cerebellum

1985 ◽  
Vol 108 (3) ◽  
pp. 309-313 ◽  
Author(s):  
Shoji Maruyama ◽  
Ge Zhang ◽  
Yoshimatsu Tamura ◽  
Tohru Yamakuni ◽  
Yasuo Takahashi
Keyword(s):  
Purkinje Cell ◽  
Protein A ◽  
Cell Activity ◽  
Rat Cerebellum

Effects of intravenous cocaine administration on cerebellar Purkinje cell activity

2000 ◽  
Vol 407 (1-2) ◽  
pp. 91-100 ◽  
Author(s):  
Carlos A Jiménez-Rivera ◽  
Omayra Segarra ◽  
Zoraya Jiménez ◽  
Barry D Waterhouse
Keyword(s):  
Purkinje Cell ◽  
Cell Activity ◽  
Cerebellar Purkinje Cell ◽  
Cocaine Administration ◽  
Intravenous Cocaine

Cerebellar Flocculus and Paraflocculus Purkinje Cell Activity During Circular Pursuit in Monkey

2000 ◽  
Vol 83 (1) ◽  
pp. 13-30 ◽  
Author(s):  
H.-C. Leung ◽  
M. Suh ◽  
R. E. Kettner
Keyword(s):  
Purkinje Cell ◽  
Firing Rate ◽  
Smooth Pursuit ◽  
Cell Activity ◽  
Two Dimensional ◽  
Rotation Direction ◽  
Cell Responses ◽  
Preferred Direction ◽  
Velocity Sensitivity ◽  
Multilinear Function

Responses from 69 Purkinje cells in the flocculus and paraflocculus of two rhesus monkeys were studied during smooth pursuit of targets moving along circular trajectories and compared with responses during sinusoidal pursuit and fixation. A variety of interesting responses was observed during circular pursuit. Although some neurons fired most strongly in a single preferred direction during clockwise (CW) and counterclockwise (CCW) pursuit, others had directional preferences that changed with rotation direction. Some of these neurons showed similar modulation amplitudes during CW and CCW pursuit, whereas other neurons showed a preference for a particular rotation direction. Response specificity also was observed during sinusoidal pursuit. Some neurons showed responses that were much stronger during centrifugal pursuit, others showed a preference for centripetal pursuit, and still others showed responses during both centripetal and centrifugal motion. Differences in preferred response direction were sometimes observed for centripetal versus centrifugal pursuit. CW/CCW and centrifugal/centripetal preferences were not explained by a breakdown in component additivity. That is, modulations in firing rate during pursuit along a circular trajectory equaled the sum of modulations during horizontal and vertical sinusoidal components as well as for diagonal components. Instead all responses were well fit by a model that expressed the instantaneous firing rate of each neuron as a multilinear function of the two-dimensional position and velocity of the eye. This model generalized well to performance at different sinusoidal frequencies. It did somewhat less well for responses during fixation, suggesting some separation in the neural mechanisms of dynamic and static positioning. The model indicates that position sensitivity accounted for ∼36% of the modulation during circular pursuit, and velocity sensitivity accounted for ∼64%. When position and velocity sensitivity vectors were aligned, responses were simpler and modulations were similar during CW versus CCW pursuit. In contrast, when these vectors pointed in different directions, response complexity increased. Nonaligned position and velocity influences tended to reinforce during circular pursuit in one direction and to cancel each other during pursuit in the opposite direction. They also tended to produce response differences during centripetal versus centrifugal sinusoidal pursuit. The distinct roles played by position and velocity in shaping Purkinje cell responses are compatible with the control signals required to generate smooth pursuit along circular and other two-dimensional trajectories.

Induction, but not retention and extinction, requires intact parallel fiber (PF)-Purkinje cell (PC) synapses in delay eyeblink conditioning (EBC)

2009 ◽  
Vol 65 ◽  
pp. S82-S83
Author(s):  
Kyoichi Emi ◽  
Eriko Miura ◽  
Wataru Kakegawa ◽  
Kazuhisa Kohda ◽  
Masahiko Watanabe ◽  
...  
Keyword(s):  
Purkinje Cell ◽  
Eyeblink Conditioning ◽  
Parallel Fiber
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