A Hierarchical Modeling Approach of Hippocampus Local Circuit

Abstract

The modeling and simulation of a realistic nervous tissue are difficult because of the number of implied cell types (neuronal and glial), the topology of the networks, and the various heterogeneous molecular mechanisms. The MTIP (Mathematical Theory of Integrative Physiology) is used as a new modeling approach based on a representation in terms of functional interactions and a formalism (S-Propagator) related to n-level field theory. This work presents the passage from a theoretical description of the biological system to a computing implementation in the general case. The specific case of the hippocampus is presented, as well as how a drug allows learning and memory improvement in the local circuit of the CA1 area of the hippocampus. This in silico result is used to experimentally predict the drug effect in vitro to confirm the accuracy of MTIP.

Computational models of neurotransmission at cerebellar synapses unveil the impact on network computation

“…The typical receptor of GrCs is composed of GluR2 and GluR4 ( DiGregorio et al, 2007 ) and their participation in expansion recoding and associative memory has been reported ( Kita et al, 2021 ). The most basic AMPA receptor model has three states (open, closed, and desensitized), which can be extended to account for subconductance states (e.g., multiple open, desensitization, and deactivation states), with transitions between states described by Markov models ( Koike et al, 2000 ; Wadiche and Jahr, 2001 ; DiGregorio et al, 2007 ; Bennani et al, 2009 ).…”

Electrophysiology and biochemical analysis of cyclocreatine uptake and effect in hippocampal slices

“…The former indicates functioning of the monosynaptic pathway between Schaffer collaterals and CAl pyramidal neurons, while the latter is a measure of protection against irreversible loss of synaptic transmission (Balestrino, 1995;Bennani et al, 2009).…”

A Hierarchical Model of the Hypothalamo-Adreno-Pituitary system

“…The composing models live at different temporal and spatial scales, but retain the same mathematical structure. Models of neural systems based on Chauvet's Mathematical Theory of Integrative Physiology [24] involving neurotransmitter release and synaptic phenomena have been proposed by [12,13,25]. While these articles are not about hormonal systems, they are interesting from the methodological point of view because they illustrate the application of the MTIP modeling framework, which is proposed by Chauvet as a standard way to construct complex models of physiological systems.…”