• NeuroML

  • Referenced in 3 articles [sw11677]
  • plug and play neuronal modeling. Modern software systems for simulation, database access, visualisation and data...
  • VolRoverN

  • Referenced in 0 articles [sw14190]
  • comprehensive functionality for geometric and electrophysiological neuronal simulation at multiple scales. It produces spatially realistic ... surface models of neuronal processes, glia, and intracellular organelles from cross-sectional traces. This results ... quantifications, VolRoverN generates derivative models for sophisticated simulations at multiple scales, such as cable ... electrodiffusion models. Functionality includes: 3D reconstruction of neurons from RECONSTRUCT series files...
  • BIOSIM

  • Referenced in 2 articles [sw01083]
  • BIOSIM is a biologically oriented neural network simulator, which is available as public domain software ... learn complex programming languages.par In BIOSIM, four neuron models are implemented: a simple model only ... results of the simulation can be visualized in orbservation windows for neurons and synapses. Stochastic ... demonstration shell script, which controls the simulator, is included showing a wide range of possibilities...
  • NeuroStruct

  • Referenced in 1 article [sw36040]
  • image information from image stacks of individual neurons filled with biocytin and stained with osmium ... analysis of morphological characteristics and simulation signalling within a neuron that capture the influence...
  • PCSIM

  • Referenced in 2 articles [sw12749]
  • designed for distributed simulation of large scale networks of spiking point neurons. Although its computational ... user to easily integrate the neural circuit simulator with data analysis and visualization tools...
  • Neurofitter

  • Referenced in 14 articles [sw09289]
  • techniques: The increase in complexity of computational neuron models makes the hand tuning of model ... popular search algorithms, including brute-force methods, simulated annealing, genetic algorithms, evolution strategies, differential evolution...
  • CARLsim

  • Referenced in 1 article [sw30218]
  • easy-to-use, GPU-accelerated library for simulating large-scale spiking neural network (SNN) models ... allows execution of networks of Izhikevich spiking neurons with realistic synaptic dynamics on both generic ... standard off-the-shelf GPUs. The simulator provides a PyNN-like programming interface (C/C++), which ... parameters to be specified at the synapse, neuron, and network level...
  • ModSpec

  • Referenced in 3 articles [sw18101]
  • simulation facilities. We illustrate the use of ModSpec for modelling semiconductor, photovoltaic, fluidic and neuronal...
  • FEEDBACKDESIGN

  • Referenced in 2 articles [sw24083]
  • input neuron, are specified by the user. The equilibrium state is found by simulating ... transfer function is generated for each neuron and neuron-servomotor complex, and the open-loop...
  • Metastability

  • Referenced in 1 article [sw38860]
  • Using the relative phases of bursts between neurons, we numerically demonstrate that the network exhibits ... contrast, our simulations reveal that networks of identical singlet-spiking neurons do not exhibit such...
  • NESTML

  • Referenced in 0 articles [sw15377]
  • NESTML: a modeling language for spiking neurons. Biological nervous systems exhibit astonishing complexity. Neuroscientists ... capture this complexity by modeling and simulation of biological processes. Often very complex models ... Gl10, Ra11]. However, as these languages seek simulator independence they typically only support a subset ... domain experts in creating neuron models for the neural simulation tool NEST. NESTML...
  • CEPAGE

  • Referenced in 2 articles [sw28252]
  • object-oriented toolbox, called CEPAGE, devoted to simulation and analysis of Central Pattern Generators (CPGs ... little group of neurons producing periodical patterns, which control rhythmic activities of animals. CEPAGE...
  • Simbrain

  • Referenced in 1 article [sw40076]
  • familiar graphical setting, and can easily modify simulations, experimenting with networks and immediately seeing ... models on the order of thousands of neurons and a million synapses. This allows ... analyze the behavior of large, highly customizable simulations...
  • Cormorant

  • Referenced in 2 articles [sw42205]
  • energy surfaces for use in Molecular Dynamics simulations, and learning ground state properties of molecules ... network are that (a) each neuron explicitly corresponds to a subset of atoms...
  • SpineML

  • Referenced in 1 article [sw40078]
  • unite a range of INCF supported simulators including NeuroML v2.0 and PyNN. The syntax ... specification of large scale networks of point neurons but also has the flexibility to describe...
  • STICK

  • Referenced in 2 articles [sw40455]
  • framework for general purpose computation using neurons, precise timing, delays, and synchrony There has been ... problems. These machines can do more than simulate biology; they allow us to rethink ... machine. We show that the use of neuron-like units with precise timing representation, synaptic...
  • CPGDESIGN

  • Referenced in 2 articles [sw24084]
  • option to add external stimuli. When the simulation is complete, the equilibrium points will ... animate the phase portrait for each neuron over time, and calculate the nullclines corresponding...
  • rsatoolbox

  • Referenced in 1 article [sw32148]
  • measured brain volume in search of a neuronal population code with a specific geometry. Finally ... toolbox, we apply it to both simulated and real fMRI data. The key functions...
  • sPyNNaker

  • Referenced in 0 articles [sw37937]
  • latest version of the software package for simulating PyNN-defined spiking neural networks (SNNs ... based operating system facilitating efficient time-driven neuron state updates and pipelined event-driven spike ... context of a simple example SNN. Simulation results are demonstrated, together with performance profiling providing...