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Published in: Cognitive Neurodynamics 5/2012

01-10-2012 | Review Article

Towards a unified model of pavlovian conditioning: short review of trace conditioning models

Author: V. I. Kryukov

Published in: Cognitive Neurodynamics | Issue 5/2012

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Abstract

There are three basic paradigms of classical conditioning: delay, trace and context conditioning where presentation of a conditioned stimulus (CS) or a context typically predicts an unconditioned stimulus (US). In delay conditioning CS and US normally coterminate, whereas in trace conditioning an interval of time exists between CS termination and US onset. The modeling of trace conditioning is a rather difficult computational problem and is a challenge to the behavior and connectionist approaches mainly due to a time gap between CS and US. To account for trace conditioning, Pavlov (Conditioned reflexes: an investigation of the physiological activity of the cerebral cortex, Oxford University Press, London, 1927) postulated the existence of a stimulus “trace” in the nervous system. Meanwhile, there exist many other options for solving this association problem. There are several excellent reviews of computational models of classical conditioning but none has thus far been devoted to trace conditioning. Eight representative models of trace conditioning aimed at building a prospective model are being reviewed below in a brief form. As a result, one of them, comprising the most important features of its predecessors, can be suggested as a real candidate for a unified model of trace conditioning.

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Footnotes
1
In classical conditioning, it is often assumed that presynaptic inputs from CSs and US converge on one or more postsynaptic units. The postsynaptic unit initially responds strongly to the US input, but only weakly to the CS input. Through repeated CS–US pairings, the connection strength of the CS input is altered so that the CS becomes capable of eliciting a robust output from the postsynaptic unit. Alternatively, both CS and US can converge presynaptically, thus performing non-Hebbian learning as in Zipser (1986). However, both the Hebbian and non-Hebbian learning rules are problematic for trace conditioning in view of the unsolved problem of shifting information from the hippocampus to the cortex (see Frey and Morris 1997; Lesburguères et al. 2011).
 
2
Habituation is a decrease in responsiveness to a stimulus when that stimulus is presented repeatedly or for a prolonged time. The latent inhibition refers to the effect that preexposure to a CS followed by CS–US pairings retard the generation of the CR.
 
3
The answer to this question is given in biological terms by Vinogradova (2001) and in computational ones by Kryukov (2008)
 
4
A phase-locked loop (PLL) is an electronic control system that generates a signal of controlled oscillator that is locked to the phase of an input signal. A phase-locked loop circuit responds to both the frequency and the phase of the input signals, automatically raising or lowering the frequency of a controlled oscillator until it is matched to the input in both frequency and phase. For description of the PLL system see Gardner’s text-book (1979), for application in the neuronal modeling based on PLL see Songnian et al. (2003) and for the numerical simulation of PLL with CO and several POs see Kazanovich et al. (1991).
 
5
Lability as temporal unsteadiness in the case of oscillatory networks can be characterized quantitatively by the value of natural frequency. The lability is the basic concept of the Russian neurophysiological school of Vvedensky-Ukhtomsky who maintained that connections between nervous structures are promoted trough the correspondence in their frequency characteristics that is in equalizing their excitation cycle rate (Ukhtomsky 1966/1936). Thence follows our Isolability Assumption.
 
6
We are grateful to Reviewer #1 for this list of problems.
 
7
K o and K d are transfer coefficients for the septal VCO and the CA3 phase detector, respectively.
 
8
In fact, the supposition (9) is not true according to Lindquist et al. (2009), but it helps in simple explanation of many so far unexplained experimental findings. .
 
9
For the explanation of habituation and dehabituation mechanism see Kryukov (2008, p. 152) .
 
10
For the difference between the phase and the frequency synchronization (acquisition) (see Gardner, 1979, Ch. 5).
 
11
Formally our model explains this asymmetry in learning by less favorable initial state for Eq. 7 to reach the stationary state if US comes before CS.
 
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Metadata
Title
Towards a unified model of pavlovian conditioning: short review of trace conditioning models
Author
V. I. Kryukov
Publication date
01-10-2012
Publisher
Springer Netherlands
Published in
Cognitive Neurodynamics / Issue 5/2012
Print ISSN: 1871-4080
Electronic ISSN: 1871-4099
DOI
https://doi.org/10.1007/s11571-012-9195-z

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