Neurons

This code, realized in collaboration with Robert Thijs Kozma, implements a simple and powerful spiking model proposed by Eugene Izhikevich in 2003 (http://www.izhikevich.org/publications/spikes.pdf). This mathematical model is the most recent of a long tradition of models used to study individual... Platforms: Matlab

Inspired by neurons and their connections in the brain, neural network is a representation used in machine learning. After running the back-propagation learning algorithm on a given set of examples, the neural network can be used to predict outcomes for any set of input values. Neural Networks... Platforms: Windows

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

By this small MATLAB script it is possible to graphically render the morphological data available in a *.ASC NeuroLucida ascii file. It isthen possible to manipulate it and convert it to a variety of vectorized file format, such as encapsulated postscript.The program at the moment would probably... 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

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

A neuronal network simulator using NeuroML (as generated by neuroConstruct) for network description. Conductance- and rate-based Hodgkin-Huxley neuron models, and a number of other neurons & synapses. A 5-6-order RK method is used for integration. Platforms: Mac

SINCO is a GPL library with functions to implement Artificial Neural Networks simulators. You are free to define the network (ilimited neurons and layers) and the functions (training, threshold, etc.). Platforms: *nix

Sudoku, a fascinating game but also a software for you : SUDOKU1 @NKH 2013. Grid generation, game, solution proposal, search of all solutions, score. Grids 4x4 to 16x16. Varients. For Children and Expert. A software to play on its PC and stretch neurons. Sudoku1 is a Sudoku freeware for Windows... Platforms: Windows

A powerful, easy-to-use modeling and prediction tool designed to support the process of knowledge extraction from data on a highly automated level. KnowledgeMiner is a data mining tool that enables anyone to use its unique form of modeling to quickly visualize new possibilities. It is an... Platforms: Mac

This script uses the IAC (interactive-competition-and-activation) model to analyze a database. Scalyze a dils: - The example is taken from Parallel Distributed Processing, a classic text on neural networks. - The field values represent neurons. - The database rows represent excitory... Platforms: Windows, Mac, *nix, Python, BSD Solaris

This software has been realized at the Technology Lab, Department of Cognitive and Neural Systems, Boston University - http://techlab.bu.edu. The main author of the software is Praveen Pilly ( http://techlab.bu.edu/members/advait/ ).How does the brain make perceptual decisions? Speed and accuracy... Platforms: Matlab

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

This color reduction software is based on a new neural network classifier (SGONG). The SGONG network classifier is suitable for color quantization applications, since each image pixel is considered as multidimensional vector, depending on the color space that is used and the extra features which... Platforms: Matlab

The accompanying code is the simulation of a simplified version of a synfire chain in a cortical network, inspired by the ideas of Abeles (1982, 1991), Bienenstock (1995), and Diesmann et al. (1999). In a synfire chain groups, or pools, of neurons are connected in a feedforward arrangement. The... Platforms: Matlab

This software has been realized by Bret Fortenberry at the CNS Technology Lab at Boston University (http://techlab.bu.edu/). A model to show the properties of EPSPs and IPSPs in the postsynaptic cell. The model allows a user to adjust the number of EPSP and IPSP inputs, the rise and fall times... Platforms: Matlab

The large classification margin is the most usual approach to achieve good generalization. The most known maximal margin algorithm is SVM, for which different kernels have been investigated. Unfortunately, in the context of some real world problems, such as on-the-fly object detection, the use of... Platforms: Matlab

Loads the mesh data from an Amira 3D manipulation program. Amira is usually used to create morphological reconstructions of neurons.It uses Amira's mesh file format that looks like this:---------------------------# AmiraMesh 3D ASCII 2.0nVertices 4651nEdges 9302define Origins 125define... Platforms: Matlab

Nengo is a software package that makes it easy to develop sophisticated models of neuronal circuits. It is intended for modelling large networks of neurons (typically hundreds or thousands), using spiking point-neuron models. To get a quick sense of how to use Nengo, watch the new demo video... Platforms: Mac

The Critterding project is a "petry dish"-universe in C++/OpenGL that demonstrates simple artificial intelligence by evolution. Critters start out with completely random brains, but will automatically start evolving into something with much better survival skills. How the program works At... Platforms: *nix