44 projects tagged "Neuroscience"
E-Cell System is an object-oriented software suite for modelling, simulation, and analysis of large scale complex systems such as biological cells. It allows many components, driven by multiple algorithms with different timescales, to coexist. The core library is written in C++ with a Python binding, and frontend software uses Python.
libperceptronnetwork is a library that models a multilayer feedforward perceptron network, a well-known and understood type of neural network. It can be used for a large number of recognition and categorization tasks. Besides providing the standard propagation and backpropagation algorithms, the library also provides variations to the backpropagation algorithm, such as optional weight-decay, momentum-term and optimal-tolerance methods. It comes with a handy programmers reference manual and two examples.
MCS PGA 64 Filter Amp Controller is a small program that uses Qt 3.x to control the MultiChannelSystems Programmable Gain Amp (http://www.multichannelsystems.com), 64 channel version. This filteramp is a custom piece of equipment typically used in neuronal electronics. This program uses the serial port to set the gains on this programmable amplifier. It is a clone of the Windows version of this program that MCS normally supplies with its filter amp. It is 100% compatible UI-wise with the Windows version.
CHDecide (formerly known as iDecide) will ask you to estimate how likely you are to succeed with an option, how much it's worth for you and how much it hurts if you fail. It will then compute which option is expected to give the most happiness. The program uses the expected-utility theory to make predictions of which option you should choose. You might think that you don't need a program to make your choices, but research has shown that humans are surprisingly bad at picking the most logical choices.
Asymptopia Flashcard System uses Motif and LaTeX to produce, manage, and use attractively formatted flashcards. You load some or all of your "collections" and set the timer for pop-up frequency. The GUI interface and "Collection Manager" make creating and modifying flashcards as simple as pushing a single button. A knowledge of LaTeX is only required when entering special symbols.
OMCSNetCPP is a C++ API and inference toolkit for accessing OMCSNet, a semantic network mined out of the Open Mind Common Sense knowledge base. The goal of this project is to provide a class library that allows programmers to easily add common sense reasoning capabilities to C++ applications.
The OMCSNet-WordNet project aims to improve the quality of the OMCSNet dataset by using automated processes to map WordNet synonym sets to OMCSNet concepts and import additional semantic linkage data from WordNet. It is based on OMCSNet 1.2, a semantic network and inference toolkit written in Python/Java. OMCSNet currently contains over 280,000 separate pieces of common sense information extracted from the raw OMCS dataset. This project is also based on WordNet, an online lexical reference system that in recent years has become a popular tool for AI researchers.
Analyze ECGs is a graphical data analysis tool for use on analog input DAQ data, such as that of RTLab. It is useful for opening the '.nds' file format produced by RTLab's data acquisition program, DAQSystem (it can also open regular ASCII files). Aside from being a general-purpose multichannel analog data editing tool, it also contains custom features useful for analyzing cardiac data. However, it can be used for editing/viewing general-purpose data as well. Additionally, this program can convert '.nds' files to ASCII format data.
LinkGrammar-WN is a lexicon expansion for the Link Grammar Parser. The Link Grammar Parser is a syntactic parser of the English language that is capable of handling a wide variety of syntactic constructions and is considered quite robust. The LinkGrammar-WN project aims to import lexical information from WordNet in an effort to increase the size of the LGP lexicon. This project is of interest to anyone interested in NLP (natural language parsing) of English text.