Mathematics for a fundamental problem of biological information processing

Author(s):  
W.R. Stark ◽  
J.F. Pedersen
1995 ◽  
Vol 04 (04) ◽  
pp. 471-488 ◽  
Author(s):  
W. RICHARD STARK

This paper presents results on the dynamics of asynchronous irregular cellular automata (as representations of natural information-processing systems). It is an approach to explaining global dynamics from local dynamics without the use of unrealistic intermediate structure (i.e., without synchronization or regular communication). The unrealistic intermediate structure is replaced by the the realistic assumption that local behavior is entropy reducing (an idea of E. Schrödinger). It has been shown that, for systems composed of cells programmed as cyclic finite-state automata, the observed global oscillation can be explained in terms of the structure of attractors in the global state space. The degree of local connectivity (i.e., of communication between cells) is shown here to determine the size of global attractors, and in turn the sharpness of global behavior. However, the primary result here is the extension of these results to systems whose cells are programmed as arbitrary strongly connected automata. Finally, these phenomena are demonstrated by the simulations.


2019 ◽  
Vol 374 (1774) ◽  
pp. 20180370 ◽  
Author(s):  
Salva Duran-Nebreda ◽  
George W. Bassel

Information processing and storage underpins many biological processes of vital importance to organism survival. Like animals, plants also acquire, store and process environmental information relevant to their fitness, and this is particularly evident in their decision-making. The control of plant organ growth and timing of their developmental transitions are carefully orchestrated by the collective action of many connected computing agents, the cells, in what could be addressed as distributed computation. Here, we discuss some examples of biological information processing in plants, with special interest in the connection to formal computational models drawn from theoretical frameworks. Research into biological processes with a computational perspective may yield new insights and provide a general framework for information processing across different substrates.This article is part of the theme issue ‘Liquid brains, solid brains: How distributed cognitive architectures process information’.


Science ◽  
1997 ◽  
Vol 277 (5329) ◽  
pp. 1060-1061 ◽  
Author(s):  
Nicholas C. Spitzer ◽  
Terrence J. Sejnowski

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