Simulation

• • Simulation

  Arbor

  High-performance library for computational neuroscience simulations, ranging from single-cell models to large networks
• • Simulation

  Brain Area Simulation

  Configure and run simulations in a model of the Hippocampus CA1 with a simple web GUI
• • Simulation

  Elephant

  Analyse the neuronal dynamics of experiments and brain simulations with this Electrophysiology Analysis Toolkit
• • Simulation

  Feature Extraction

  User-friendly web application for extracting electrophysiological features from experimental and simulated data
• • Simulation

  Hodgkin-Huxley Neuron Builder

  End-to-end workflow for building and simulating data-driven single cell models
• • Simulation

  NEST Desktop

  Construct neuronal networks and explore network dynamics with the NEST Simulator GUI
• • Simulation

  NEST Simulator

  A simulator for spiking neural network models of any size
• • Simulation

  NESTML

  A domain-specific language to write custom neuron models
• • Simulation

  NeuroScheme

  Create, navigate, explore and interact with schematic representations of neurons and circuits
• • Simulation

  NeuroTessMesh

  Visualise neural anatomy in great detail
• • Simulation, Brain-Inspired Technologies

  Neuromorphic Computing

  Simulate or emulate spiking neural networks with neuromorphic compute systems
• • Simulation, Brain-Inspired Technologies

  Neurorobotics Platform

  Simulating intelligent agents within realistic environments
• • Simulation, Brain-Inspired Technologies

  PyNN

  A simulator-independent language for building neuronal network models
• • Simulation

  Small Circuit in silico Experiments

  Configure and run simulations of cells from predefined brain area models on the web
• • Simulation

  The Virtual Brain

  Create personalised brain models and simulate multi-scale networks
• • Simulation

  ViSimpl

  Study simulation data and their associated spatial and temporal features by exploratory visual analysis

The EBRAINS Cellular Level simulation tool suite includes an ensemble of custom workflows allowing neuroscientists to design, build, simulate and visualise neuronal models; from individual cells to entire brain regions, with cellular-level details. The cell and tissue model construction covers different brain areas and is driven by experimental data that allows in silico exploration of their computational properties and their role in health and disease.

• • Simulation

  Feature Extraction

  User-friendly web application for extracting electrophysiological features from experimental and simulated data
• • Simulation

  Hodgkin-Huxley Neuron Builder

  End-to-end workflow for building and simulating data-driven single cell models
• • Simulation

  Small Circuit in silico Experiments

  Configure and run simulations of cells from predefined brain area models on the web
• • Simulation

  Brain Area Simulation

  Configure and run simulations in a model of the Hippocampus CA1 with a simple web GUI
• • Simulation

  Arbor

  High-performance library for computational neuroscience simulations, ranging from single-cell models to large networks
• • Simulation

  NeuroScheme

  Create, navigate, explore and interact with schematic representations of neurons and circuits
• • Simulation

  NeuroTessMesh

  Visualise neural anatomy in great detail
• • Simulation

  ViSimpl

  Study simulation data and their associated spatial and temporal features by exploratory visual analysis

Brain function emerges at the network level. Even basic functions such as the initial processing of visual input require the interaction of many neurons in different brain areas. Network-level simulation technology enables investigation of such brain-scale networks, covering multiple brain areas at the resolution of single neurons and synapses. The direct link to brain function makes network-level simulation attractive for AI and robotics applications. To enable brain-scale simulations, the technology needs to be extremely scalable and capable of exploiting modern supercomputers. The simplifications that underpin network-level simulation technology have also inspired the design of neuromorphic systems.

• • Simulation

  NEST Simulator

  A simulator for spiking neural network models of any size
• • Simulation

  NEST Desktop

  Construct neuronal networks and explore network dynamics with the NEST Simulator GUI
• • Simulation

  NESTML

  A domain-specific language to write custom neuron models
• • Simulation, Brain-Inspired Technologies

  Neuromorphic Computing

  Simulate or emulate spiking neural networks with neuromorphic compute systems
• • Simulation, Brain-Inspired Technologies

  Neurorobotics Platform

  Simulating intelligent agents within realistic environments
• • Simulation

  Elephant

  Analyse the neuronal dynamics of experiments and brain simulations with this Electrophysiology Analysis Toolkit
• • Simulation, Brain-Inspired Technologies

  PyNN

  A simulator-independent language for building neuronal network models

To simulate whole brains, the white-matter axon fibre bundle network, the so-called structural connectome, is reconstructed to define the model network. To reduce complexity and computational demands, the activity of brain regions is typically not simulated by networks of individual neurons. Instead, mean-field theory is used to replicate the main dynamics of large groups of neurons. The resulting models of the different networks are connected by the weights and time delays of reconstructed structural connectomes. Whole brain simulations have been used to explain several empirically observed phenomena, such as the emergence in fMRI of functional networks, the spread of epileptic seizures or relationships between phenomena observed in fMRI and electrical neural activity over several temporal scales. In EBRAINS, the simulation tools at the whole brain level are developed around the framework of The Virtual Brain (TVB).

• • Simulation

  The Virtual Brain

  Create personalised brain models and simulate multi-scale networks

Data analysis provides methods and workflows to reveal hidden dynamics and extract characteristic statistical features obtained from simulations and experiments. These toolboxes help computational neuroscientists analyse simulations of neuronal dynamics and assist in validating models against experimental evidence. Visualisation provides scientists with a powerful tool for interactive data analysis, from an overview to deep insights. EBRAINS offers access to interactive tools for visualisation of models and simulation results, from the cellular to the network level.

• • Simulation

  Elephant

  Analyse the neuronal dynamics of experiments and brain simulations with this Electrophysiology Analysis Toolkit
• • Simulation

  NEST Desktop

  Construct neuronal networks and explore network dynamics with the NEST Simulator GUI
• • Simulation

  NeuroScheme

  Create, navigate, explore and interact with schematic representations of neurons and circuits
• • Simulation

  NeuroTessMesh

  Visualise neural anatomy in great detail
• • Simulation

  ViSimpl

  Study simulation data and their associated spatial and temporal features by exploratory visual analysis