• SpiNNaker

  • Referenced in 29 articles [sw40456]
  • neurons, or millions of neurons with complex structure and internal dynamics. Robotics: SpiNNaker ... network of tens of thousands of spiking neurons, process sensory input and generate motor output...
  • NEST

  • Referenced in 32 articles [sw26849]
  • large heterogeneous networks of point neurons or neurons with a small number of compartments. NEST ... suited for models that focus on the dynamics, size, and structure of neural systems rather ... detailed morphological and biophysical properties of individual neurons. Examples are: Models of sensory processing ... cortex of mammals. Models of network activity dynamics, e.g. in laminar cortical networks or random...
  • Neko

  • Referenced in 1 article [sw38428]
  • tools have been developed to simulate neuronal dynamics or convert deep networks to spiking models...
  • NSM

  • Referenced in 3 articles [sw25284]
  • approaches for studying the dynamics of dissociated neuronal networks as well as acute/organotypic slices maintained...
  • NEVESIM

  • Referenced in 1 article [sw39766]
  • implementation of the internal dynamics of individual neurons. In this paper we will present...
  • CARLsim

  • Referenced in 1 article [sw30218]
  • networks of Izhikevich spiking neurons with realistic synaptic dynamics on both generic x86 CPUs ... parameters to be specified at the synapse, neuron, and network level...
  • NineML

  • Referenced in 1 article [sw40077]
  • language for describing the dynamics and connectivity of neuronal network simulations; in particular for large...
  • Extended-GC

  • Referenced in 1 article [sw38880]
  • Hodgkin–Huxley neuronal models. How to extract directions of information flow in dynamical systems based ... However, for nonlinear dynamical systems such as the Hodgkin–Huxley (HH) neuronal circuit, the validity ... time series obtained by evolving the HH neuronal network. In addition, we add a certain ... system. This consistency is also insensitive to dynamical regimes, e.g., a chaotic or non-chaotic...
  • Metastability

  • Referenced in 0 articles [sw38860]
  • Metastability: Dynamical complexity in ensembles of bursting oscillators. For more details refer to this article ... Itinerant complexity in networks of intrinsically bursting neurons. Active neurons can be broadly classified ... identical bursting neurons with inhibitory pulsatory coupling exhibit itinerant dynamics. Using the relative phases ... neurons do not exhibit such complexity. These results suggest a role for bursting dynamics...
  • Fireflies

  • Referenced in 1 article [sw14288]
  • effect that they have on the dynamics and to observe bifurcations. We demonstrate the capabilities ... examples: a 2D “mean field” model of neuronal activity, the classical Lorenz system...
  • LFADS

  • Referenced in 1 article [sw16550]
  • LFADS - Latent Factor Analysis via Dynamical Systems. Neuroscience is experiencing a data revolution in which ... many hundreds or thousands of neurons are recorded simultaneously. Currently, there is little consensus ... introduce LFADS (Latent Factor Analysis via Dynamical Systems), a method to infer latent dynamics from...
  • CPGDESIGN

  • Referenced in 2 articles [sw24084]
  • mutual inhibition. The user can simulate the dynamics, with the option to add external stimuli ... animate the phase portrait for each neuron over time, and calculate the nullclines corresponding ... intuitive understanding of the CPG’s dynamics. Finally, the program facilitates studying phase response properties...
  • Cormorant

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

  • Referenced in 2 articles [sw24083]
  • Design process and tools for dynamic neuromechanical models and robot controllers. .. FEEDBACKDESIGN automates the analysis ... closed- or open-loop network of neurons, synapses, and a servomotor and limb if desired...
  • SpiCoDyn

  • Referenced in 1 article [sw40614]
  • software for the analysis of multi-site neuronal spike signals. Accepted input data formats ... electrophysiological signals focusing on: spiking and bursting dynamics and functional-effective connectivity analysis. In particular...
  • CGV

  • Referenced in 3 articles [sw19315]
  • docking framework. Several novel techniques, including enhanced dynamic filtering, graph lenses, and edge-based navigation ... clustering results, to navigate topological structures of neuronal systems, and to perform analysis of some...
  • DeepTracker

  • Referenced in 2 articles [sw25889]
  • facilitate the exploration of the rich dynamics of CNN training processes and to identify ... multiple types of heterogeneous training data including neuron weights, validation images, and training iterations. Three...
  • ADOL-C

  • Referenced in 249 articles [sw00019]
  • ADOL-C: Automatic Differentiation of C/C++. We present...
  • ARfit

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

  • Referenced in 115 articles [sw00203]
  • As modern programming methodologies migrate from computer science...