• Neural Network Toolbox

  • Referenced in 178 articles [sw07378]
  • easily modeled with a closed-form equation. Neural Network Toolbox supports supervised learning with feedforward ... design, train, visualize, and simulate neural networks. You can use Neural Network Toolbox for applications...
  • NEST

  • Referenced in 32 articles [sw26849]
  • NEST (neural simulation tool): The Neural Simulation Tool NEST is a computer program for simulating ... dynamics, size, and structure of neural systems rather than on the detailed morphological and biophysical...
  • Brian

  • Referenced in 29 articles [sw23588]
  • Brian: a simulator for spiking neural networks in python. ”Brian” is a new simulator ... spiking neural networks, written in Python (http://brian. di.ens.fr). It is an intuitive and highly ... analysing data. Vectorisation techniques allow efficient simulations despite the overheads of an interpreted language. Brian...
  • ANFIS

  • Referenced in 279 articles [sw08730]
  • stipulated input-output data pairs. In the simulation, the ANFIS architecture is employed to model ... yielding remarkable results. Comparisons with artificial neural networks and earlier work on fuzzy modeling...
  • SNNS

  • Referenced in 13 articles [sw11828]
  • SNNS (Stuttgart Neural Network Simulator) is a software simulator for neural networks on Unix workstations ... efficient and flexible simulation environment for research on and application of neural nets...
  • Spikenet

  • Referenced in 12 articles [sw08892]
  • driven simulation package for modelling large networks of spiking neurons. Many biological neural network models ... such a mechanism in SpikeNET, our neural network simulation package. The type of model...
  • PyNEST

  • Referenced in 4 articles [sw30221]
  • Interface to the NEST Simulator. The neural simulation tool NEST (http://www.nest-initiative.org) is a simulator ... compartments. It aims at simulations of large neural systems with more than 104 neurons ... NEST. PyNEST combines NEST’s efficient simulation kernel with the simplicity and flexibility of Python...
  • RSNNS

  • Referenced in 4 articles [sw11829]
  • Networks in R using the Stuttgart Neural Network Simulator (SNNS). The Stuttgart Neural Network Simulator...
  • ANNarchy

  • Referenced in 2 articles [sw30220]
  • ANNarchy: a code generation approach to neural simulations on parallel hardware. Many modern neural simulators ... coded neural networks, is mostly difficult or impossible to implement using these simulators. We present ... ANNarchy (Artificial Neural Networks architect) neural simulator, which allows to easily define and simulate rate ... mathematical description similar to the Brian neural simulator. This information is used to generate...
  • CuSNP

  • Referenced in 7 articles [sw32106]
  • CuSNP: Spiking Neural P Systems Simulators in CUDA...
  • PCSIM

  • Referenced in 2 articles [sw12749]
  • PCSIM: a parallel simulation environment for neural circuits fully integrated with Python. The Parallel Circuit ... PCSIM) is a software package for simulation of neural circuits. It is primarily designed ... user to easily integrate the neural circuit simulator with data analysis and visualization tools ... tailored towards setting up and analyzing neural simulations...
  • BIOSIM

  • Referenced in 2 articles [sw01083]
  • BIOSIM -- A biological neural network simulator for research and teaching, featuring interactive graphical user interface ... capabilities BIOSIM is a biologically oriented neural network simulator, which is available as public domain ... conditioning, hebbian learning and competition learning. A neural network can be created by using ... sensitive menus and the results of the simulation can be visualized in orbservation windows...
  • NeuroDSP

  • Referenced in 2 articles [sw28920]
  • tools to process, analyze, and simulate neural recordings as individual voltage time series, with specific...
  • Topographica

  • Referenced in 2 articles [sw32948]
  • Topographica is a general-purpose neural simulator focusing on topographic maps. The simulator is under...
  • PyRates

  • Referenced in 1 article [sw41526]
  • Python framework for rate-based neural simulations. In neuroscience, computational modeling has become an important ... performing numerical simulations. While many such tools exist for different families of neural models, there ... generic model definition and efficiently parallelized simulations. In this work, we present PyRates, a Python ... PyRates via a number of benchmark simulations of neural networks differing in size and connectivity...
  • NEVESIM

  • Referenced in 1 article [sw39766]
  • NEVESIM: event-driven neural simulation framework with a Python interface. NEVESIM is a software package ... valuable capabilities of the simulator is to simulate exactly and efficiently networks of stochastic spiking ... from the recently developed theoretical framework of neural sampling. This functionality was implemented ... further extensions that support simulation of various neural network models incorporating different neuron and synapse...
  • NeuSim

  • Referenced in 1 article [sw01603]
  • NeuSim: A modular neural networks simulator for Beowulf clusters. We present a neural networks simulator...
  • BindsNET

  • Referenced in 1 article [sw30217]
  • Python. The development of spiking neural network simulation software is a critical component enabling ... software frameworks support a wide range of neural functionality, software abstraction levels, and hardware devices ... Python package for the simulation of spiking neural networks, specifically geared towards machine learning ... software, called BindsNET, enables rapid building and simulation of spiking networks and features user-friendly...
  • bandit-nmt

  • Referenced in 2 articles [sw20941]
  • Reinforcement Learning for Bandit Neural Machine Translation with Simulated Human Feedback. Machine translation ... guide a system to improve. Yet, current neural machine translation training focuses on expensive human ... learning algorithm that improves neural machine translation systems from simulated human feedback. Our algorithm combines ... with the attention-based neural encoder-decoder architecture (Luong et al., 2015). This algorithm...
  • NeuroWeb

  • Referenced in 1 article [sw20350]
  • NeuroWeb: an Internet-based neural network simulator. The NeuroWeb project is an Internet-based framework ... simulation of neural networks. It aims for using the Internet as a transparent environment...