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Publié par | heinrich-heine-universitat_dusseldorf |
Publié le | 01 janvier 2003 |
Nombre de lectures | 14 |
Langue | English |
Poids de l'ouvrage | 1 Mo |
Extrait
Non-linear dynamical analysis of operant behavior
Inaugural - Dissertation
zur
Erlangung des Doktorgrades der
Mathematisch-Naturwissenschaftlichen Fakultät
der Heinrich-Heine-Universität Düsseldorf
vorgelegt von
Jay-Shake Li
aus Tainan, Taiwan
Düsseldorf 2003
Aus dem Institut für Physiologische Psychologie I
der Heinrich-Heine-Universität Düsseldorf
Gedruckt mit der Genehmigung der Mathematisch-Naturwissenschaftlichen Fakultät der
Heinrich-Heine-Universität Düsseldorf
Referent: Prof. Dr. J. P. Huston
Korreferent: Prof. Dr. J. Krauth
Tag(e) der mündlichen Prüfung: 16 Juli 2003
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Acknowledgements
I am very grateful for Prof. Huston’s effort in supporting my experiments and providing such
an excellent environment for my research.
I also wish to say thanks to Prof. Krauth for the intensive and helpful discussions during the
past four years.
Additionally, I would like to thank all my colleagues for their kind help and suggestions.
Especially I would like to thank Mr. Manfred Mittelstaedt for his assistance in the installation
of the equipment, and Mr. Patrick Schmitz for his assistance in my experiments.
Finally, I want to thank my family for their support during the whole period of my study in
Germany.
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Contents
ABSTRACT................................................................................................................ 6
1. INTRODUCTION................................................................................................. 7
1.1 Basic concepts ............................................................................................................... 7
1.1.1 Predicting behavior................................................................................................7
1.1.2 Learning as a kind of behavioral dynamics............................................................ 7
1.1.3 Behavior as a real-time dynamical system............................................................. 9
1.2 Emergence of “Chaos Theory” ................................................................................. 10
1.2.1 Classical dynamics and determinism ................................................................... 10
1.2.2 The breakdown of determinism............................................................................ 11
1.2.3 The beginning of “Chaos Theory” ....................................................................... 13
1.2.4 Application of chaos theory in neuroscience and psychology ............................ 14
1.3 Tools for nonlinear dynamical systems’ analysis .................................................... 16
1.3.1 Phase space........................................................................................................... 16
1.3.2 Reconstruction of a phase space from one-dimensional time series.................... 17
1.3.3 Fractals and fractal dimension.............................................................................. 18
1.3.4 Study with surrogate data sets 20
1.4 The Extended Return Map (ERM)........................................................................... 22
1.4.1 The delayed-coordinate method22
1.4.2 The Return Map (RM) and the Integrate-and-Fire model.................................... 22
1.4.3 Formal definition of the Extended Return Map (ERM)....................................... 24
1.4.4 Choice of the parameters f and L ......................................................................... 25
1.5 Organization of the present work ............................................................................. 27
2 EXPERIMENTAL STUDIES ON THE DYNAMICS OF FI-RESPONDING........ 29
2.1 Introduction to Skinner-box experiments................................................................ 29
2.1.1 Operant behavior and Skinner-box ...................................................................... 29
2.1.2 Fixed-Interval (FI) reinforcement schedules........................................................ 30
2.2 Traditional analysis of FI-responding 30
2.2.1 The cumulative record.......................................................................................... 30
2.2.2 The averaged scallop-curve.................................................................................. 31
2.2.3 Summary of the traditional analysis..................................................................... 32
2.3 Materials and methods............................................................................................... 32
2.3.1 Animals and apparatus ......................................................................................... 32
2.3.2 Time schedules of experiments ............................................................................ 33
2.4 Results .........................................................................................................................35
2.4.1 Comparison between the RM and the ERM......................................................... 35
2.4.2 ERMs of the surrogate data sets........................................................................... 44
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2.4.3 Distribution of the surrogate correlation dimension ............................................ 46
2.4.4 Comparison between ERMs from session 15 and 26........................................... 48
2.4.5 Investigating the process of development of FI-responding ................................ 50
3 SIMULATION STUDIES ON THE DYNAMICS OF FI-RESPONDING.............. 59
3 R.............. 60
3.1 Simulation I: Basic behavioral patterns................................................................... 60
3.1.1 The strategy of the initial simulation studies ....................................................... 60
3.1.2 “Continuous scallop” versus “two state conception”........................................... 61
3.1.3 Definition of the models in simulation I .............................................................. 61
3.1.4 Results of simulation I.......................................................................................... 63
3.2 Analytical explanations for the ERM- patterns ...................................................... 65
3.2.1 Lattice structures..................................................................................................65
3.2.2 L-structures...........................................................................................................67
3.2.3 Acceleration-state and triangle structures ............................................................ 67
3.2.4 Multiple-switches during the inter-reinforcement-periods .................................. 68
3.3 A dynamical model of FI-responding ....................................................................... 70
3.3.1 Overview..............................................................................................................70
3.3.2 Detailed description of the model ........................................................................ 71
3.3.3 Results of simulation II ........................................................................................ 74
3.3.4 The parameters used in simulation II ................................................................... 78
4 APPLICATIONS IN BEHAVIORAL PHARMACOLOGY .................................. 85
4.1 Basic concepts ............................................................................................................. 85
4.1.1 ERM-pattern as a dependent variable .................................................................. 85
4.1.2 Amphetamine and FI-responding......................................................................... 85
4.2 Experiments ................................................................................................................ 86
4.2.1 Materials and methods.........................................................................................86
4.2.2 Time schedule of experiments.............................................................................. 87
4.2.3 Results and Discussions.......................................................................................88
4.3 Computer simulation VII .......................................................................................... 98
5 GENERAL DISCUSSIONS ..............................................................................105
5.1 Conclusions of the present study............................................................................. 105
5.1.1 ERM: A new method for the non-linear dynamical analysis of operant behavior
105
5.1.2 Dynamics of FI-responding................................................................................ 107
5.1.3 Application in behavioral pharmacological studies ........................................... 108
5.2 Perspectives............................................................................................................... 109
6 REFERENCES........................