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Pillars of biology: Boolean modeling of gene-regulatory networks
J Thakar - Journal of Theoretical Biology, 2024 - Elsevier
Boolean modeling is a mathematical modeling framework used for defining and studying
gene-regulatory networks (GRNs). It serves as a means to develop mechanistic models …
gene-regulatory networks (GRNs). It serves as a means to develop mechanistic models …
Statistical physics of liquid brains
Liquid neural networks (or 'liquid brains') are a widespread class of cognitive living networks
characterized by a common feature: the agents (ants or immune cells, for example) move in …
characterized by a common feature: the agents (ants or immune cells, for example) move in …
Subcritical escape waves in schooling fish
Theoretical physics predicts optimal information processing in living systems near transitions
(or pseudo-critical points) in their collective dynamics. However, focusing on potential …
(or pseudo-critical points) in their collective dynamics. However, focusing on potential …
Scale-free correlations and potential criticality in weakly ordered populations of brain cancer cells
Collective behavior spans several orders of magnitude of biological organization, from cell
colonies to flocks of birds. We used time-resolved tracking of individual glioblastoma cells to …
colonies to flocks of birds. We used time-resolved tracking of individual glioblastoma cells to …
What is consciousness? Artificial intelligence, real intelligence, quantum mind and qualia
SA Kauffman, A Roli - Biological Journal of the Linnean Society, 2023 - academic.oup.com
We approach the question 'What is consciousness?'in a new way, not as
Descartes''systematic doubt', but as how organisms find their way in their world. Finding …
Descartes''systematic doubt', but as how organisms find their way in their world. Finding …
The basis of easy controllability in Boolean networks
Effective control of biological systems can often be achieved through the control of a
surprisingly small number of distinct variables. We bring clarity to such results using the …
surprisingly small number of distinct variables. We bring clarity to such results using the …
Exploring the criticality hypothesis using programmable swarm robots with Vicsek-like interactions
A widely mentioned but not experimentally confirmed view (known as the 'criticality
hypothesis') argues that biological swarm systems gain optimal responsiveness to …
hypothesis') argues that biological swarm systems gain optimal responsiveness to …
Collective predator evasion: Putting the criticality hypothesis to the test
According to the criticality hypothesis, collective biological systems should operate in a
special parameter region, close to so-called critical points, where the collective behavior …
special parameter region, close to so-called critical points, where the collective behavior …
Models of cell processes are far from the edge of chaos
Complex living systems are thought to exist at the “edge of chaos” separating the ordered
dynamics of robust function from the disordered dynamics of rapid environmental …
dynamics of robust function from the disordered dynamics of rapid environmental …
On the criticality of adaptive Boolean network robots
Systems poised at a dynamical critical regime, between order and disorder, have been
shown capable of exhibiting complex dynamics that balance robustness to external …
shown capable of exhibiting complex dynamics that balance robustness to external …