In order to support research on the role of cell biological principles (genomics, proteomics, signaling cascades and reaction dynamics) on the dynamics of neuronal response in health and disease, NEURON’s Reaction-Diffusion (rxd) module in Python provides specification and simulation for these dynamics, coupled with the electrophysiological dynamics of the cell membrane. Arithmetic operations on species and parameters are overloaded, allowing arbitrary reaction formulas to be specified using Python syntax. These expressions are then transparently compiled into bytecode that uses NumPy for fast vectorized calculations. At each time step, rxd combines NEURON’s integrators with SciPy’s sparse linear algebra library
Development of credible clinically-relevant brain simulations has been slowed due to a focus on elec...
Abstract:- We present two examples of computational cellular biology that provide perspective on the...
The list of success stories of the use of mathematics and mathematical simulation in physics, chemis...
<p>Development of credible clinically-relevant brain simulations has been slowed due to a focus on e...
The NEURON simulator is a widely used tool for studying detailed single cell and network models. In ...
Version 0.9.0 Added support for reaction-diffusion (RxD) and usage examples Improved performanced ...
Supplementary data and R/Python code required to reproduce the figures from the accompanying publica...
The NEURON simulator software is widely used by the computational neuroscience community for neurona...
On the level of the spiking activity, the integrate-and-fire neuron is one of the most commonly used...
This repository contains the code for the models used in "Biological complexity facilitates tuning o...
Blood systems biology seeks to quantify outside-in signaling as platelets respond to numerous extern...
Biologically-informed neural networks (BINNs), an extension of physics-informed neural networks [1],...
There is a significant interest in the neuroscience community in the development of large-scale netw...
Biologically-informed neural networks (BINNs), an extension of physics-informed neural networks [1],...
Biologically-informed neural networks (BINNs), an extension of physics-informed neural networks [1],...
Development of credible clinically-relevant brain simulations has been slowed due to a focus on elec...
Abstract:- We present two examples of computational cellular biology that provide perspective on the...
The list of success stories of the use of mathematics and mathematical simulation in physics, chemis...
<p>Development of credible clinically-relevant brain simulations has been slowed due to a focus on e...
The NEURON simulator is a widely used tool for studying detailed single cell and network models. In ...
Version 0.9.0 Added support for reaction-diffusion (RxD) and usage examples Improved performanced ...
Supplementary data and R/Python code required to reproduce the figures from the accompanying publica...
The NEURON simulator software is widely used by the computational neuroscience community for neurona...
On the level of the spiking activity, the integrate-and-fire neuron is one of the most commonly used...
This repository contains the code for the models used in "Biological complexity facilitates tuning o...
Blood systems biology seeks to quantify outside-in signaling as platelets respond to numerous extern...
Biologically-informed neural networks (BINNs), an extension of physics-informed neural networks [1],...
There is a significant interest in the neuroscience community in the development of large-scale netw...
Biologically-informed neural networks (BINNs), an extension of physics-informed neural networks [1],...
Biologically-informed neural networks (BINNs), an extension of physics-informed neural networks [1],...
Development of credible clinically-relevant brain simulations has been slowed due to a focus on elec...
Abstract:- We present two examples of computational cellular biology that provide perspective on the...
The list of success stories of the use of mathematics and mathematical simulation in physics, chemis...