Due to the ubiquity of spiking neurons in neuronal processes, various simple spiking neuron
models have been proposed as an alternative to conductance-based models (aka Hodgkin …

This study combines experimental techniques and mathematical modeling to investigate the
dynamics of C. elegans body-wall muscle cells. Specifically, by conducting voltage clamp …

The nematode Caenorhabditis elegans (C. elegans) is a well-known model organism in
neuroscience. The relative simplicity of its nervous system, made up of few hundred …

A major goal of computational neuroscience is to understand the relationship between
synapse-level structure and network-level functionality. Caenorhabditis elegans is a model …

Unlike spiking neurons which compress continuous inputs into digital signals for transmitting
information via action potentials, non-spiking neurons modulate analog signals through …

Klinotaxis is a strategy of chemotaxis behavior in Caenorhabditis elegans (C. elegans), and
random walking is evident during its locomotion. As yet, the understanding of the neural …

The identifiability study of dynamical systems is a property that ensures the uniqueness of
parameters with respect to the model's measurement (s). Several methods exist, but for …

Computational neuroscience attempts to understand the nervous system functions by using
realistic models in large-scale simulations. This work is inspired by the Theory of Neural …

Caenorhabditis elegans (C. elegans) exhibits sophisticated chemotaxis behavior with a
unique locomotion pattern using a simple nervous system only and is, therefore, well suited …

Many real-life problems can be modeled as a complex network made up of nodes whose
dynamics are governed by nonlinear differential equations. State reconstruction of such …