Subcellular interactions between parallel fibre and climbing fibre signals in purkinje cells predict sensitivity of classical conditioning to interstimulus interval

2002 ◽  
Vol 37 (4) ◽  
pp. 265-292 ◽  
Author(s):  
Jeanette Hellgren Kotaleski ◽  
David Lester ◽  
Kim T. Blackwell
1996 ◽  
Vol 07 (01) ◽  
pp. 1-18 ◽  
Author(s):  
SERGIO D. SERULNIK ◽  
MOSHE GUR

Living beings learn to associate known stimuli that exhibit specific temporal correlations. This kind of learning is called associative learning, and the process by which animals change their responses according to the schedule of arriving stimuli is called “classical conditioning”. In this paper, a conditionable neural network which exhibits features like forward conditioning, dependency on the interstimulus interval, and absence of backward and reverse conditioning is presented. An asymmetric neural network was used and its ability to retrieve a sequence of embedded patterns using a single recalling input was exploited. The main assumption was that synapses that respond with different time constants coexist in the system. These synapses induce transitions between different embedded patterns. The appearance of a correct transition when only the first stimulus is applied, is interpreted as a realization of the conditioning process. The model also allows the analytical description of the conditioning process in terms of internal and external or researcher-controlled variables.


2013 ◽  
Vol 4 (1) ◽  
Author(s):  
Yoshinobu Kawamura ◽  
Hisako Nakayama ◽  
Kouichi Hashimoto ◽  
Kenji Sakimura ◽  
Kazuo Kitamura ◽  
...  

2002 ◽  
Vol 16 (12) ◽  
pp. 2416-2424 ◽  
Author(s):  
Yasushi Kishimoto ◽  
Ryoko Fujimichi ◽  
Kenji Araishi ◽  
Shigenori Kawahara ◽  
Masanobu Kano ◽  
...  

1974 ◽  
Vol 2 (2) ◽  
pp. 206-210 ◽  
Author(s):  
William F. Prokasy ◽  
William C. Williams ◽  
William Y. M. Lee ◽  
Karol L. Kumpfer

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