Neural network modeling : statistical mechanics and cybernetic perspectives /: statistical mechanics and cybernetic perspectives. (2018)
- Record Type:
- Book
- Title:
- Neural network modeling : statistical mechanics and cybernetic perspectives /: statistical mechanics and cybernetic perspectives. (2018)
- Main Title:
- Neural network modeling : statistical mechanics and cybernetic perspectives
- Further Information:
- Note: Perambur S. Neelakanta, Dolores F. De Groff.
- Authors:
- Neelakanta, Perambur S
De Groff, Dolores F - Contents:
- Introduction -- Neural and Brain Complex -- Concepts of Mathematical Neurobiology -- Pseudo-Thermodynamics of Neural Activity -- The Physics of Neural Activity: A Statistical Mechanics Perspective -- Stochastical Dynamics of the Neural Complex -- Neural Field Theory: Quasiparticle Dynamics and Wave Mechanics Analogies of Neural Networks -- Informatic Aspects of Neurocybernetics -- Appendix A: Magnetism and the Ising Spin-Glass Model -- Appendix B: Matrix Methods in Little's Model -- Appendix C: Overlap of Replicas and Replica Symmetry Ansatz.
- Publisher Details:
- Place of publication not identified : CRC Press
- Publication Date:
- 2018
- Extent:
- 1 online resource, illustrations
- Subjects:
- 006.3
Neural networks (Computer science)
Neural networks (Computer science)
Neurale netwerken
Neuronales Netz
Stochastisches dynamisches System
Réseaux neronaux (informatique)
Cybernétique
Intelligence artificielle - Languages:
- English
- ISBNs:
- 9781351428958
1351428950 - Access Rights:
- Legal Deposit; Only available on premises controlled by the deposit library and to one user at any one time; The Legal Deposit Libraries (Non-Print Works) Regulations (UK).
- Access Usage:
- Restricted: Printing from this resource is governed by The Legal Deposit Libraries (Non-Print Works) Regulations (UK) and UK copyright law currently in force.
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library HMNTS - ELD.DS.264574
- Ingest File:
- 02_307.xml