It was recently proposed that, despite their diversity, living systems can be characterised by a set of specific, co-existing features. In this paper, after recalling what these features are, we try to afford a statistical characterisation of the emerging state, previously introduced as the living state of matter. We show that recent work on DNA sequences suggests a well-defined statistical characterisation of this particular state. We then investigate whether these properties can be extended to living systems with higher complexity. Recent research on neuronal activity in the brain suggests the fascinating, yet simplistic idea that such systems behave statistically as a multi-dimensional version of the one-dimensional system used to model DNA statistics. © 2003 Elsevier Ltd. All rights reserved.
Towards a statistical characterisation of the living state of matter
Buiatti, Marco;
2004-01-01
Abstract
It was recently proposed that, despite their diversity, living systems can be characterised by a set of specific, co-existing features. In this paper, after recalling what these features are, we try to afford a statistical characterisation of the emerging state, previously introduced as the living state of matter. We show that recent work on DNA sequences suggests a well-defined statistical characterisation of this particular state. We then investigate whether these properties can be extended to living systems with higher complexity. Recent research on neuronal activity in the brain suggests the fascinating, yet simplistic idea that such systems behave statistically as a multi-dimensional version of the one-dimensional system used to model DNA statistics. © 2003 Elsevier Ltd. All rights reserved.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione
