Simbrain 3.0: A flexible, visually-oriented neural network simulator
نویسندگان
چکیده
منابع مشابه
A Web Oriented Recurrent Neural Network Simulator
YANNS (Yet Another Neural Network Simulator) is a new object-oriented neural network simulator for feedforward networks as well as general recurrent networks. The goal of this project is to develop and implement a simulation tool that satisfies the following constraints: flexibility, ease of use, portability and efficiency. The result is a simulator with the kernel implemented as a collection o...
متن کاملSimbrain: A visual framework for neural network analysis and education
Simbrain is a visually-oriented framework for building and analyzing neural networks. It emphasizes the analysis of networks which control agents embedded in virtual environments, and visualization of the structures which occur in the high dimensional state spaces of these networks. The program was originally intended to facilitate analysis of representational processes in embodied agents, howe...
متن کاملA Flexible Distributed Simulator for Object-Oriented Petri Nets
Petri nets have been used to model and analyse distributed systems. Highlevel nets such as coloured nets and object-oriented nets increase the descriptive power by allowing the tokens which flow through the net to be associated with arbitrary data values. Algorithms have been specified for the distributed simulation of simple petri nets on a set of transputers. This paper considers the extensio...
متن کاملSpikeStream: A Fast and Flexible Simulator of Spiking Neural Networks
SpikeStream is a new simulator of biologically structured spiking neural networks that can be used to edit, display and simulate up to 100,000 neurons. This simulator uses a combination of event-based and synchronous simulation and stores most of its information in databases, which makes it easy to run simulations across an arbitrary number of machines. A comprehensive graphical interface is in...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Neural Networks
سال: 2016
ISSN: 0893-6080
DOI: 10.1016/j.neunet.2016.07.005