Modeling and Simulation of HH Equation of Neuron for Detection of Certain Neurological and Pathological Disordersdoi:10.1007/978-981-97-3874-8_31Hodgkin–Huxley's (H–H) model of neuron was an experimental proof for analysis of some types of disorders linked with pathological and neurological ...
The purpose of this computational study was to use the Virtual Cell and NEURON modeling and simulation frameworks to (i) create models that reflect the physiological production of IP3 from hydrolysis of phosphatidylinositol-4,5-bisphosphate (PIP2), and link the appropriate IP3 signal to IP3R1-...
Modeling with Recurrent Neural Networks using Compensatory Neuron ModelIn this paper the performance of Recurrent Neural Networks (RNNs) using Compensatory Neuron Model (CNM) is discussed. Two types of RNN architectures, Jordan and fully connected RNNs, have been considered and applied to time ...
One long-standing challenge of the detailed simulation approach lies in its exceedingly high computational cost, which has severely limited its application to neuroscience and AI. The major bottleneck of the simulation is to solve linear equations based on the foundational theories of detailed modeling1...
Mathematical modeling of any physical phenomenon requires simplifications (reductions) of the phenomenon in order to decrease the number of parameters and to reduce the number of calculations. The technical question is how much the phenomenon can be simplified (reduced) in order not to loose essential...
pythonsimulationmodelingneuroscienceneural-networksneuroinformaticsneuron UpdatedMar 10, 2025 Python ArtemKirsanov/BlenderSpike Star171 Code Issues Pull requests A Blender add-on to bring animations from NEURON neuroscienceneuronblender-addon UpdatedJun 23, 2024 ...
“full-spine model”) is computationally very expensive. A common compromising solution is to modify the capacitance and resistance of the membrane by aFspinefactor54, instead of modeling all spines explicitly. Here, theFspinefactor aims at approximating the spine effect on the biophysical properties...
Our novel theory establishes a general framework for modeling neural population dynamics based on micro- scopic neuronal parameters. It offers an efficient way to analyze cortical circuits and its computational functions, and how they depend on single-cell and synaptic properties. Acknowledgements ...
Modeling and simulation was performed using NEURON simulator, accessed using a python script (Carnevale and Hines, 2006). Active neuron model Active membrane ion channels were taken from the Blue Brain Project models of L2/3 PNs (Markram et al., 2015) and tuned to produce similar results to ...
Modeling direction selectivity of simple cells in striate visual cortex within the framework of the canonical microcircuit. J Neurosci 1995; 15: 6700–6719. PubMed CAS Google Scholar Wilson MA, Bower JM. The simulation of large-scale neural networks. In: Methods in Neuronal Modeling. From ...