Locally Interacting Systems and Their Application in Biology

Proceedings of the School-Seminar on Markov Processes in Biology, Held in Pushchino, Moscow Region, March, 1976
Herausgegeben:Dobrushin, R. L.; Kryukov, V. I.; Toom, A. L.

• Broschiertes Buch

Produktbeschreibung

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.

Produktdetails

• Lecture Notes in Mathematics 653
• Verlag: Springer / Springer Berlin Heidelberg / Springer, Berlin
• Artikelnr. des Verlages: 978-3-540-08450-1
• 1978.
• Seitenzahl: 220
• Erscheinungstermin: 1. Mai 1978
• Englisch
• Abmessung: 235mm x 155mm x 13mm
• Gewicht: 370g
• ISBN-13: 9783540084501
• ISBN-10: 3540084509
• Artikelnr.: 23571145

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.