Neuron

This is a simulink realization of Morris-Lecar neuron model.Run the ML_parameter.m first to load the parameters to the Workspace,and then run the ML.mdl to simulatethe ML neuron model.The parameters and ode algorithm,step length,can be changed to your own...

Matlab GUI for neuron counting frequency filtering to remove background fluorescence Otsu's method for thresholding, with user interaction Original image courtesy of Lan Guo

Neuron activity simulator is oriented towards professional, students and researchers. It's designed to be intuitive (No learning curve), all what you need is on one screen. In just few mouse clicks you can specify your experiment head model and visualizes your Electric potential (graph or/and...


Platforms: Windows, Other

Neuron News script is a PHP/MySQL news publishing system by topic. Visitors can comment newsposts. News is archived by year/month. Global site search (in newsarchive and custom pages). Add your news and pages fast and easy. Features: - Add/edit news by topic - Comments - Custom dynamic pages...


Platforms: Windows, Mac, *nix, PHP, BSD Solaris

Simulink implementation of nodose neuron action potential firing with parameters from the following studies:Schild,J.H., Clark,J.W., Hay,M., Mendelowitz,D., Andresen,M.C., and Kunze,D.L. (1994). A- and C-type rat nodose sensory neurons: model interpretations of dynamic discharge characteristics....


Platforms: Matlab

An interactive MATLAB-based demo simulation of the electrophysiological behavior of a biological neuron is presented and documented. The differential equations which describe the temporal evolution of the membrane voltage in a biophysical model neuron, are introduced and briefly discussed in the...


Platforms: Matlab

This is a simulink realization of Morris-Lecar neuron model.Run the ML_parameter.m first to load the parameters to the Workspace,and then run the ML.mdl to simulatethe ML neuron model.The parameters and ode algorithm,step length,can be changed to your own...


Platforms: Matlab

Simulation describing the electrophysiological behavior of a biological neuron (nerve cell). Two sets of membrane kinetics are included: Hodgkin-Huxley and Schwarz for unmyelinated and myelinated axons.


Platforms: Matlab

This function graphs the neuron's weight and the input vectors. You can label the neurons and inputs, change the marker size, and color code the map to see which inputs activate which neurons (a visual representation of the approximation of the input field of a neuron in the adaptive network).


Platforms: Matlab

Neurofitter is a parameter tuning package for electrophysiological neuron models. For more information please take a look at http://neurofitter.sourceforge.net


Platforms: *nix

NeuronVisio is a Graphical User Interface for NEURON simulator enviroment. NeuronVisio connect with NEURON using the new python NEURON interface. * 3D visualization of the model with the possibility to change it runtime * Creation of vectors to record any variables present in the section *...


Platforms: *nix

Neurofitter is a parameter tuning package for electrophysiological neuron models. For more information please take a look at http://neurofitter.sourceforge.net


Platforms: Windows, Mac, BSD, Linux

This toolbox includes routines for using principal component analysis (PCA) and independent component analysis (ICA) to extract cellular signals from imaging data sets. A full description and validation of the method is provided in the paper, "Automated Analysis of Cellular Signals from...


Platforms: Matlab

By this small MATLAB script it is possible to interactively acquire the quantitative morphology for a bidimensional photograph of cultured neurons.The output, a smaller subset of the *.ASC NeuroLucida ascii format, is compatible with the NEURON simulating environment tool "Import 3D".


Platforms: Matlab

This code implements the basic back propagation of error learning algorithm. the network has tanh hidden neurons and a linear output neuron, and applied for predicting y=sin(2pix1)*sin(2pix2).We didn't use any feature of neural network toolbox.


Platforms: Matlab

It is a single lyer single neuron for linear sparable data classification.It implement the first neural networks algorithm by Rosenblatt's. It is a single lyer single neuron for linear sparable data classification.It implement the first neural networks algorithm by Rosenblatt's. It contains three...


Platforms: Matlab

Routine accepts input variables, binary target variable (0/1) and a small number of training parameters, and returns discovered coefficients for a single neuron.Technical details:Learning rule: incremental delta ruleLearning Rate: constantTransfer function: logisticExemplar presentation order:...


Platforms: Matlab

The tutorial contains programs for PERCEPTRON and LINEAR NETWORKS Classification with a 2-input perceptron Classification with a 3-input perceptron Classification with a 2-neuron perceptron Classification with a 2-layer perceptronPattern association with a linear neuron Training a linear layer...


Platforms: Matlab

Functions to calculate the statistics for the dLIF model described in the paper ``Mechanisms that modulate the transfer of spiking correlations'' by Robert Rosenbaum and Kresimir Josic, published in Neural Computation, 2011.The first few lines of code in each function converts the system with...


Platforms: Matlab

In a series of chronic recording from an array that is physically stable, this algorithm will tell you when you have recorded the same neuron multiple times.


Platforms: Matlab