ULTIMATE COMPUTING - Quantum Consciousness Studies

260 Bibliography
Hastings, H. M. and S. Waner (1985a). Low Dissipation Computing in Biological
Systems. BioSystems, 17, 241–244.
Hastings, H. M. and S. Waner (1986). Biologically Motivated Machine
Intelligence. SIGART Newsletter, January, Number 95, 29–31.
Hogg, T. and Huberman B. A. (1984). Understanding Biological Computation:
Reliable Learning and Recognition. Proc. Natl. Acad. Sci., 81, Nov.,
6871–6875.
Hogg, T. and B. A. Huberman (1985). Parallel Computing Structures Capable of
Flexible Associations and Recognition of Fuzzy Inputs. J. Statistical
Physics, 41(1/2), Oct., 115–123.
Hopfield, J. J. (1982). Neural Networks and Physical Systems with Emergent
Collective Computational Abilities. Proc. Natl. Acad. Sci. USA, 79,
2554–2558.
Hopfield, J. J. (1982). Brain, Computer, and Memory. Engineering and Science,
Sept., 2–7.
Hopfield, J. J. (1984a). Collective Processing and Neural States. In: Modeling
and Analysis in Biomedicine, C. Nicolini, ed., 371–389.
Hopfield, J. J. (1984b). Neurons with Graded Response have Collective
Computational Properties like Those of Two-State Neurons. Proc. Natl.
Acad. Sci. USA, 81, 3088–3092.
Hopfield, J. J. and D. W. Tank (1985). “Neural” Computation of Decisions in
Optimization Problems. Biological Cybernetics, 52, 141–152.
Huberman, B. A. and T. Hogg (1984). Adaptation and Self-Repair in Parallel
Computing Structures, Phys. Rev. Letts., 52, 1048–1051.
Huberman, B. A. and T. Hogg (1985). Dynamic Associations in Nonlinear
Computing Arrays. Physica Scripta 32, 271–273.
Huberman, B. A. and M. Kerszberg (1985). Ultradiffusion: The Relaxation of
Hierarchical Systems. J. Phys. A, 18, L331-L336.
Jackel, L. D., R. E. Howard, H. P. Graf, B. Straughn, and J. S. Denker (1986).
Artificial Neural Networks for Computing. J. Vac. Sci. Technol. B, 4(1),
Jan/Feb., 61–63.
Keirstead, W. P. and Huberman, B. A. (1986). Collective Detection of Motion in
the Presence of Noise. Phys. Rev. Lett., 56(10), 10 March, 10941097.
Kohonen, T. (1984) Self-Organization and Associative Memory. Springer-Verlag,
New York.
Mandell, A. J., P. V. Russo and S. Knapp (1982). Strange Stability in
Hierarchically Coupled Neuropsychobiological Systems. Evolution of
Order and Chaos, Proc. of the International Symposium on Synergetics,
April 26-May 1, H. Haken, ed., 270–286.
Milgram, M. and H. Atlan (1983). Probabalistic Automata as a Model for
Epigenesis of Cellular Networks. J. Theor. Biol., 103, 523–547.
Ritter, H. and K. Schulten (1986). On the Stationary State of Kohenen’s Self-
Organizing Sensory Mapping. Biol. Cybern., 54, 99–106.
Silverman, D. J., G. L. Shaw and J. C. Pearson (1986). Associative Recall
Properties of the Trion Model of Cortical Organization. Biol. Cybern.,
53, 259–271.
Sivilotti, M., M. Emerling and C. A. Mead (1985). A Novel Associative Memory
Implemented Using Collective Computation. In: 1985 Chapel Hill
Conference on Very Large Scale Integration, H. Fuchs, ed., Computer
Science Press, 329–342.
Toulouse, G., S. Dehaene and J. Changeux (1986). Spin Glass Model of Learning
by Selection. Proc. Natl. Acad. Sci. USA, 83, 1695–1698.