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- W2334556928 abstract "We discuss the use of probabilistic automata and networks of probabilistic automata as a framework for modeling biological information processing and explore several consequences. In particular, we use the Ising model and recurrence in Brownian motion to argue that the brain uses its two-dimensional surface for primary data access, and consider biological attacks on polynomial time, and nondeterministic polynomial-time problems, My talk and this paper form a continuation of joint work with Richard Pekelney (Hastings and Pekelney, 1982). I. INTRODUCTION My talk discussed joint work on the use of networks of probabi listic automata as models for biological informant ion processing (Hastings and Pekelney, 1982), and my recent extensions to include some aspects of the dynamics, statistics, and phase-behavior of these networks. In this paper I shall briefly review the main predictions and conclusions on Hastings and Pekelney (1982) and discuss the above extensions. Most mathematical models of the brain, ranging from Turing (1936) machines and networks of McCulloch-Pitts (1943) neurons to more recent" @default.
- W2334556928 created "2016-06-24" @default.
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- W2334556928 date "1985-01-01" @default.
- W2334556928 modified "2023-09-24" @default.
- W2334556928 title "II - STATISTICS, DYNAMICS, AND PHASE TRANSITIONS" @default.
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