Locally Interacting Systems and Their Application in Biology (eBook, PDF)
Proceedings of the School-Seminar on Markov Processes in Biology, Held in Pushchino, Moscow Region, March, 1976 Redaktion: Dobrushin, R. L.; Toom, A. L.; Kryukov, V. I.
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Locally Interacting Systems and Their Application in Biology (eBook, PDF)
Proceedings of the School-Seminar on Markov Processes in Biology, Held in Pushchino, Moscow Region, March, 1976 Redaktion: Dobrushin, R. L.; Toom, A. L.; Kryukov, V. I.
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Inhaltsangabe
Monotonic evolutions in real spaces.- Reliable storage of information in a system of unreliable components with local interactions.- On non-uniqueness in some homogeneous networks.- An algorithm-theoretic method in studying homogeneous random networks.- One - dimensional monotonic tesselations with memory.- Estimation of information capacity of Purkinje cells.- On some classes of Gibbsian random fields.- Bernoulli and Markov stationary measures in discrete local interactions.- Markov fields as invariant states for local processes.- Markov interaction processes and neuronal activity.- An estimate of the number of phases.- On walks over a partially ordered set (some inequalities for conditional probabilities).- One particle states and scattering theory for Markov processes.- A note on Gibbs representation.
Monotonic evolutions in real spaces.- Reliable storage of information in a system of unreliable components with local interactions.- On non-uniqueness in some homogeneous networks.- An algorithm-theoretic method in studying homogeneous random networks.- One - dimensional monotonic tesselations with memory.- Estimation of information capacity of Purkinje cells.- On some classes of Gibbsian random fields.- Bernoulli and Markov stationary measures in discrete local interactions.- Markov fields as invariant states for local processes.- Markov interaction processes and neuronal activity.- An estimate of the number of phases.- On walks over a partially ordered set (some inequalities for conditional probabilities).- One particle states and scattering theory for Markov processes.- A note on Gibbs representation.
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