Books on Neural Systems and Applications
- S-C Liu, J. Kramer, G. Indiveri, T. Delbruck, R. Douglas, Analog VLSI: Circuits and Principles, MIT Press, 2002.
- G. Cauwenberghs and M. Bayoumi, Eds., Learning on Silicon, Norwell MA: Kluwer Academic, ISBN 0-7923-8555-1, 1999.
- L. O. Chua and T. Roska, Cellular Neural Networks and Visual Computing, Cambridge, UK: Cambridge University Press, 2002.
- C. T. Lin and C. S. G. Lee, Neural Fuzzy Systems: A Neuro-Fuzzy Synergism to Intelligent Systems (with disk), Englewood Cliff, NJ: Prentice-Hall, 1996.
- C. T. Lin, Neural Fuzzy Control Systems with Structure and Parameter Learning, Singapore: World Scientific, 1994.
- D. Liu and A. N. Michel, Dynamical Systems with Saturation Nonlinearities: Analysis and Design, New York: Springer-Verlag, 1994.
- A. N. Michel and D. Liu, Qualitative Analysis and Synthesis of Recurrent Neural Networks, New York: Marcel Dekker, 2002.
- T. Roska and A. Rodriguez-Vazquez, Towards the Visual Microprocessors, Chichester, NY: John Wiley, 2001.
Review Articles and Special Issues on Neural Systems and Applications
- G. Cauwenberghs, " Neuromorphic Learning VLSI Systems: A Survey," in T.S. Lande, Ed., Neuromorphic Systems Engineering, Norwell MA: Kluwer Academic, 1998.
- G. Cauwenberghs, "Analog VLSI Stochastic Perturbative Learning Architectures," in T.S. Lande, Ed., Neuromorphic Systems Engineering, Norwell MA: Kluwer Academic, 1998.
- R. Genov and G. Cauwenberghs, "Kerneltron: Support Vector Machine in Silicon," to appear in IEEE Trans. Neural Networks, 2003.
- T. Roska and A. Rodriguez-Vazquez, "Towards Visual Microprocessors," Proc. IEEE, vol. 90, pp. 1244-57, July, 2002