• 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...
  • Spikenet

  • Referenced in 12 articles [sw08892]
  • modelling large networks of spiking neurons. Many biological neural network models face the problem ... processed and, as long as the average spike discharge rate is low, millions of neurons ... such a mechanism in SpikeNET, our neural network simulation package. The type of model...
  • BindsNET

  • Referenced in 1 article [sw30217]
  • BindsNET: A machine learning-oriented spiking neural networks library in Python. The development of spiking ... Python package for the simulation of spiking neural networks, specifically geared towards machine learning ... enables rapid building and simulation of spiking networks and features user-friendly, concise syntax. BindsNET ... deep neural networks library, enabling fast CPU and GPU computation for large spiking networks...
  • SNN toolbox

  • Referenced in 1 article [sw41929]
  • toolbox: Spiking neural network conversion toolbox. The SNN conversion toolbox (SNN-TB) is a framework ... rate-based artificial neural networks into spiking neural networks, and to run them using various...
  • NxTF

  • Referenced in 1 article [sw38430]
  • Compiler for Deep Spiking Neural Networks on Intel Loihi. Spiking Neural Networks (SNNs ... evaluate NxTF on DNNs trained directly on spikes as well as models converted from traditional...
  • S4NN

  • Referenced in 1 article [sw41327]
  • S4NN: temporal backpropagation for spiking neural networks with one spike per neuron. We propose ... supervised learning rule for multilayer spiking neural networks (SNNs) that use a form of temporal ... coding scheme, all neurons fire exactly one spike per stimulus, but the firing order carries...
  • NEST

  • Referenced in 32 articles [sw26849]
  • dynamics, size, and structure of neural systems rather than on the detailed morphological and biophysical ... network activity dynamics, e.g. in laminar cortical networks or random balanced networks. Models of spike...
  • CARLsim

  • Referenced in 1 article [sw30218]
  • accelerated library for simulating large-scale spiking neural network (SNN) models with a high degree ... detail. CARLsim allows execution of networks of Izhikevich spiking neurons with realistic synaptic dynamics...
  • SEFRON

  • Referenced in 1 article [sw41928]
  • single SEFRON classifier with other spiking neural networks (SNNs) are also presented using four benchmark...
  • ANNarchy

  • Referenced in 2 articles [sw30220]
  • Many modern neural simulators focus on the simulation of networks of spiking neurons on parallel ... important framework in computational neuroscience, rate-coded neural networks, is mostly difficult or impossible ... neural simulator, which allows to easily define and simulate rate-coded and spiking networks ... oriented mathematical description similar to the Brian neural simulator. This information is used to generate...
  • sPyNNaker

  • Referenced in 0 articles [sw37937]
  • software package for simulating PyNN-defined spiking neural networks (SNNs) on the SpiNNaker neuromorphic platform ... neuron state updates and pipelined event-driven spike processing. Preprocessing, realtime execution, and neuron/synapse model...
  • PCSIM

  • Referenced in 2 articles [sw12749]
  • neural circuits. It is primarily designed for distributed simulation of large scale networks of spiking ... allows the user to easily integrate the neural circuit simulator with data analysis and visualization...
  • NEVESIM

  • Referenced in 1 article [sw39766]
  • NEVESIM: event-driven neural simulation framework with a Python interface. NEVESIM is a software ... package for event-driven simulation of networks of spiking neurons with a fast simulation core ... efficiently networks of stochastic spiking neurons from the recently developed theoretical framework of neural sampling ... extensions that support simulation of various neural network models incorporating different neuron and synapse types...
  • STICK

  • Referenced in 2 articles [sw40455]
  • spiking neural computation. Current neural computers are primarily developed to mimic biology. They use neural ... networks, which can be trained to perform specific tasks to mainly solve pattern recognition problems...
  • hpHawkes

  • Referenced in 1 article [sw38753]
  • financial transactions, neural spike trains and the spread of memes through social networks. The usefulness...
  • NSM

  • Referenced in 3 articles [sw25284]
  • Neural signal manager: a collection of classical and innovative tools for multi-channel spike train ... studying the dynamics of dissociated neuronal networks as well as acute/organotypic slices maintained ex vivo ... extraction of relevant parameters from these neural populations is likely to involve long-term measurements ... within a new software package, named the Neural Signal Manager (NSM), aimed at analyzing...
  • SpineML

  • Referenced in 1 article [sw40078]
  • Spiking Neural Mark-up Language. The Spiking Neural Mark-up Language (SpineML) is a declarative ... model description language for large scale neural network models. It is partially based upon...
  • AnimatLab

  • Referenced in 1 article [sw23735]
  • combines biomechanical simulation and biologically realistic neural networks. You can build the body ... rate and leaky integrate and fire spiking neural models. In addition, there a number...
  • Metastability

  • Referenced in 0 articles [sw38860]
  • contrast, our simulations reveal that networks of identical singlet-spiking neurons do not exhibit such ... bursting dynamics in realizing itinerant complexity in neural circuits...
  • ARfit

  • Referenced in 38 articles [sw00046]
  • ARfit is a collection of Matlab modules for...