2006
DOI: 10.3844/ajassp.2006.2059.2062
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Informatics and Physics Models of Recognitions of DNA Replication and Their Biological Applications

Abstract: Abstract:We initially propose concepts of Informative Intensity, Informative Response Intensity and Informative Flux, with different expressions. In a special expression of electrostatics, we describe Informative Intensity, Informative Response Intensity and Informative Flux in terms of electric field intensity, electric field force and electric field flux respectively. In a special expression of quantum mechanics, we originally propose a concept of Probability Flux. Then we present Informative Intensity in te… Show more

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Cited by 5 publications
(12 citation statements)
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“…2 in principle. Based the published experimental data [20][21] , our model demonstrates: if a sum of two sets of EFI signals (transmitted through synapses) is enhanced positively (or negatively), at a sub-cellular level (especially at the axon hillock), the sum supports a positive (or negative) cognition; otherwise, the sum tends to be no cognition [14] . One set of signals can be from the recently experienced while another set can be from the LTM; or the both sets can be either from the recently experienced or from the LTM.…”
Section: Modeling Informative Cognition In Working Memory (Wm)mentioning
confidence: 99%
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“…2 in principle. Based the published experimental data [20][21] , our model demonstrates: if a sum of two sets of EFI signals (transmitted through synapses) is enhanced positively (or negatively), at a sub-cellular level (especially at the axon hillock), the sum supports a positive (or negative) cognition; otherwise, the sum tends to be no cognition [14] . One set of signals can be from the recently experienced while another set can be from the LTM; or the both sets can be either from the recently experienced or from the LTM.…”
Section: Modeling Informative Cognition In Working Memory (Wm)mentioning
confidence: 99%
“…Where, r is a position vector and t is a time parameter [14] , J i (r, t) is a vector of current density contributed directly or indirectly by ith synapse and relates to the propagating constants, the transfer (or memory) functions or the resonance frequencies of the neural network; and σ (r, t) is a conductivity of the cellular plasma. During a LTM consolidation, the NCEFI triggers the inherited (or mutant) information (DNA) and evokes a RNA transcription; and drives some existed RNA and negatively charged objects to the excited post synapses or drives the positively charged objects to the inhibited post synapses.…”
Section: Modeling Informative Consolidation and Retrieval Of Long Termentioning
confidence: 99%
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