Biological and Quantum Computing for Human Vision. Holonomic Models and Applications

Description

Many-body interactions have been successfully described through models based on classical or quantum physics. More recently, some of the models have been related to cognitive science by researchers who are interested in describing brain activity through the use of artificial neural networks (ANNs).

Biological and Quantum Computing for Human Vision: Holonomic Models and Applications presents an integrated model of human image processing up to conscious visual experience, based mainly on the Holonomic Brain Theory by Karl Pribram. This work researches possibilities for complementing neural models of early vision with the new preliminary quantum models of consciousness in order to construct a model of human image processing.

Topics Covered

• Applications of quantum associative network
• Convolution, correlation and matrix-processing
• Holonomic brain processing.
• Holonomic theory of vision
• Maximal presentation of information
• Quantum associative network
• Quantum neural information processing
• Retinopic mapping
• The holonomic model of visual perception
• Visual processing and neuroscience

Table of Contents

1. Introduction to Holonomic-Compatible Models for Vision
Mitja Peruš (University of Ljubljana, Slovenia)
Chu Loo (Multimedia University, Malaysia)

2. Holonomic Brain Processes
Mitja Peruš (University of Ljubljana, Slovenia)
Chu Loo (Multimedia University, Malaysia)

3. Computational Information-Maximization Models
Mitja Peruš (University of Ljubljana, Slovenia)
Chu Loo (Multimedia University, Malaysia)

4. Images, Associations and Conscious Experience
Mitja Peruš (University of Ljubljana, Slovenia)
Chu Loo (Multimedia University, Malaysia)

5. Computer Simulations and Applications of Quantum Associative Network
Mitja Peruš (University of Ljubljana, Slovenia)
Chu Loo (Multimedia University, Malaysia)

6. Visual Processing As Described By Contemporary Main-Stream Neuroscience
Mitja Peruš (University of Ljubljana, Slovenia)
Chu Loo (Multimedia University, Malaysia)

7. Comparison of the Mathematical Formalism of Associative ANN and Quantum Theory
Mitja Peruš (University of Ljubljana, Slovenia)
Chu Loo (Multimedia University, Malaysia)

8. Derivation of Quantum Associative Network from Hopfield-Like ANN and HNeT
Mitja Peruš (University of Ljubljana, Slovenia)
Chu Loo (Multimedia University, Malaysia)

9. Quantum Neural Information Processing
Mitja Peruš (University of Ljubljana, Slovenia)
Chu Loo (Multimedia University, Malaysia)

10. Quantum Phase-Hebbian Image Processing
Mitja Peruš (University of Ljubljana, Slovenia)
Chu Loo (Multimedia University, Malaysia)

11. Computational Models Relevant For Visual Cortex
Mitja Peruš (University of Ljubljana, Slovenia)
Chu Loo (Multimedia University, Malaysia)

12. Appendix A
Mitja Peruš (University of Ljubljana, Slovenia)
Chu Loo (Multimedia University, Malaysia)

13. Appendix B
Mitja Peruš (University of Ljubljana, Slovenia)
Chu Loo (Multimedia University, Malaysia)

14. Appendix C
Mitja Peruš (University of Ljubljana, Slovenia)
Chu Loo (Multimedia University, Malaysia)

15. Appendix D
Mitja Peruš (University of Ljubljana, Slovenia)
Chu Loo (Multimedia University, Malaysia)