BOOK REPORTS 287 cock). Scheduling straight-line code using reinforcement learning and rollouts (Amy McGovern and Eliot Moss). Bayesian modeling of facial similarity (Baback Moghaddam, Tony Jebara and Alex Pentland). Reinfocement learning for trading (John Moody and Matthew Saffell). Graphical model
JavaScript: The definitive guide (third edition): By D. Flanagan. O'Reilly, Sebastopol, CA. (1998). 776 pages. $39.95
- Publisher
- Elsevier Science
- Year
- 1998
- Tongue
- English
- Weight
- 98 KB
- Volume
- 36
- Category
- Article
- ISSN
- 0898-1221
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โฆ Synopsis
Methods in Neuronal Modelinq: From Ions to Networks (Second edition). Edited by Christof Koch and Idan Segev. MIT Press, Cambridge, MA. (1998). 671 pages. $60.00. Contents:
Series foreword. Preface. 1. Kinetic models of synaptic transmission (Alain Destexhe, Zachary F. Mainen and Terrence J. Sejnowski). 2. Cable theory for dendritic neurons (Wilfrid Rail and Hagai Agmon-Snir). 3. Compartmental models of complex neurons (Idan Segev and Robert E. Burke (Appendix by Michael Hines). 4. Multiple channels and calcium dynamics (Walter M. Yamada, Christof Koch and Paul R. Adams). 5. Modeling active dendritic processes in pyramidal neurons (Zachary F. Malnen and Terrence J. Sejnowski). 6. Calcium dynamics in large neuronal models (Erik De Schutter and Paul Smolen). 7. Analysis of neural excitability and oscillations (John Rinzel and Bard Ermentrout). 8. Design and fabrication of analog VLSI neurons (Rodney Douglas and Misha Mahowald). 9. Principles of spike train analysis (Fabrizio Gabbiani and Christof Koch). 10. Modeling small networks (Larry Abbott and Eve Marder). 11. Spatial and temporal processing in central auditory networks (Shihab Sharnma). 12. Simulating large networks of neurons (Alexander D. Protopapas, Michael Vanier and James M. Bower). 13. Modeling feature selectivity in local cortical circuits (David Hansel and Haim Sompolinsky). 14. Numerical methods for neuronal modeling (Michael V. Mascagi and Arthur S. Sherman). References. Contributors. Index.
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