Machine learning. Machine learning is a subfield of computer science[1] that evolved from the study of pattern recognition and computational learning theory in artificial intelligence.[1] Machine learning explores the construction and study of algorithms that can learn from and make predictions on data.[2] Such algorithms operate by building a model from example inputs in order to make data-driven predictions or decisions,[3]:2 rather than following strictly static program instructions.
Machine learning is closely related to and often overlaps with computational statistics; a discipline that also specializes in prediction-making. It has strong ties to mathematical optimization, which deliver methods, theory and application domains to the field. Machine learning is employed in a range of computing tasks where designing and programming explicit, rule-based algorithms is infeasible. Example applications include spam filtering, optical character recognition (OCR),[4] search engines and computer vision.
Comparison of Neural Network Simulators - Emergent. Basic Prop - A Neural Network Simulator for Educational Purposes. ModelDB. The Nengo Neural Simulator | Nengo. SNNAP Neurosimulator Software - The University of Texas Medical School at Houston. SNNAP (Simulator for Neural Networks and Action Potentials) is a tool for rapid development and simulation of realistic models of single neurons and neural networks. It includes mathematical descriptions of ion currents and intracellular second messengers and ions. In addition, you can simulate current flow in multicompartment models of neurons by using the equations describing electric coupling. SNNAP also includes mathematical descriptions of intracellular second messengers and ions, and simulate the modulation of membrane currents and synaptic transmission, either enhancement or inhibition.
Other advantages of SNNAP include: Written in JAVA and can run on virtually any type of computer system. Graphical user interface Ability to simulate common experimental manipulations. Modular organizations of input files. Attention SNNAP users: Version 8.1 of SNNAP[ zip - 28.30 mb ] is now available! SNNAP Neurosimulator Software - The University of Texas Medical School at Houston.