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Features

Instant AI-powered Virtual Labs, unprecedented simulation scale, fully open data & tools, and everything you need to accelerate neuroscience breakthroughs

Interactive

AI-Assisted Data Explorer

The Interactive Data Explorer unifies experimental, computational, and literature-based brain data in one AI-assisted, atlas-driven platform for neuroscience discovery. At its core is OBI-ONE, our AI Assistant — a powerful agent connected to the platform’s APIs, knowledge base, and literature engines. Using natural language, you can instantly search, retrieve, and analyze brain data, models, and publications — all within a single environment.

Use case 1

Morphology & Electrophysiology: Instantly explore brain regions, morphologies, hierarchical cell types (M-types), and electrophysiological recordings in an interactive 3D atlas.

Use case 2

Models & Simulations: Access validated multiscale computational models — from ion channels to neurons and circuits — plus whole-cell patch clamp recordings across species, including human cortical tissue. Run Python analyses to generate real-time metrics and visualizations.

Use case 3

AI Literature Mining: Search neuroscience papers, extract simulation protocols, and summarize findings using natural-language queries powered by OBI-ONE.

Use case 4

Smart Data Analysis: Compute morphometric, electrophysiological, and circuit-level metrics, estimate connection probabilities, and visualize results interactively.

6237
Neuron morphologies
2247
Single neuron electrophysiology recordings
6
Bouton densities
62
Neuron densities
155
Circuits
157
Single neurons models

Workflow

Ion channel

Explore experimental ion channel electrophysiology and ion channel models for steady-state, time constant parameters and response for activation, inactivation and deactivation protcols. Build Hodgkin-Huxley ion channel models using a wide range of real voltage-gated potassium ion channel experimental patch-clamp data at different temperatures. Simulate one or multiple ion channel models together to study their dynamics and interactions.

Use case 1

Create data-based genetic ion channels to use in single cell models.

Use case 2

Study genetic ion channel dynamics.

Use case 3

Study the effect of channel parameters on the model currents.

33,198
Voltage-gated potassium (Kv) channels ephys files
40
Kv channel data types
176
Channel models for different ions

Workflow

Single neuron

Construct detailed single-neuron models by integrating reconstructed morphologies and electrical models (E-models). Access a library of validated morpho-electric models (ME-models) from key mouse and rat brain regions, including Somatosensory Cortex, Hippocampus, and more. Run in-silico experiments: record ionic currents, modify stimulus protocols, and perform parameter scans to comprehensively analyze model behavior.

Use case 1

Compare firing properties across diverse cell types and brain regions.

Use case 2

Study the role of specific ionic currents in shaping action potentials.

Use case 3

Investigate dendritic computation and action potential backpropagation.

115
Morphological types (M-types)
25
Electrical types (E-Types)
157
Validated morpho-electric models (ME-models)

Workflow

Synaptomes

Interactively build and simulate your single neuron models with synapses (synaptomes). Design custom excitatory and inhibitory synapse sets, or use synapses from circuit, and scan over model and stimulus parameters. Simulate extracted circuit synaptomes with intrinsic and extrinsic synapses from published Somatosensory cortex, and Hippocampus circuits.

Use case 1

Analyze the effects of synapse activation patterns on single-neuron responses.

Use case 2

Investigate how proximal and distal inhibition modulates somatic action potentials.

Use case 3

Systematically vary synaptic parameters to characterize integration properties and plasticity rules.

31
Circuit synaptomes
18
Custom synaptomes
6
Brain regions

Workflow

Small microcircuits

Test your theories and make predictions with advanced, state-of-the-art brain models of small microcircuits built and validated by domain experts. Eliminate the complexity of managing software, hardware, and data — focus entirely on the science. Inject currents and spikes, whilst recording neural activity. Scan across parameters seamlessly to accelerate your discoveries. All data is securely stored in our cloud database and easily accessible to your team. Pre-made Jupyter notebooks show you how to analyze results instantly. Download fully reproducible simulation files for publication and collaboration.

Use case 1

Build your knowledge - recreate classic neuroscience results.

Use case 2

Test your understanding – can you predict a network’s activity from the input you provide.

Use case 3

Test the effect of different inhibitory populations on spiking activity.

77+
Small microcircuits extracted brain models
100
Coordinate parameter scans for any variable
12+
Stimulus types

Jupyter

Notebooks

Write and run analyses of experimental or simulation data directly in our Virtual Labs and share the results with the world. With many valuable scientific computing packages pre-installed and fully integrated with the data on our platform, you can develop powerful analyses in python code and share them as templates with your team. You can also get a glimpse at the latest platform developments as new features are first deployed in the form of notebooks for you to explore and test.

Use case 1

Use the pre-installed packages to write your own analyses and share them with your team.

Use case 2

Share the results of your research with the world.

Use case 3

Learn about platform features and how to work with the data, models and simulations on the platform through OBI-curated instructional notebooks.

Use case 4

Develop your own instructional notebooks and share them with your students for classes and teaching.

Use case 5

Use notebook templates to evaluate your students’ progress.

32
OBI-curated notebooks
27
Scientific packages pre-installed
6
Space for your own analyses

Neuronal

Skeletonization

Reconstruct detailed and biologically accurate neuronal morphologies, somata profiles, and spine structures from dense EM datasets. Our advanced methodology refines massive, over-tessellated, and low quality mesh models into smooth, high-fidelity representations optimized for analysis and simulation. Even EM reconstructions affected by severe slicing artifacts are seamlessly restored, producing continuous and realistic neuronal geometries from highly fragmented meshes.

Use case 1

Reconstruct high-quality, smooth neuronal morphologies from dense EM data, including highly tessellated, fragmented mesh, or volumetric models, using efficient skeletonization algorithms.

Use case 2

Segment somata to generate accurate mesh and volumetric models ready for quantitative analysis.

Use case 3

Segment dendritic spines and build high-resolution spine meshes with clean, biologically consistent geometric topology.

Use case 4

Skeletonize dendritic spines to produce detailed morphological skeletons for advanced structural studies.

Use case 5

Generate high-quality, watertight neuronal mesh models from fragmented inputs, fully compatible with reaction–diffusion simulations.

10,000+
Neurons skeletonized
100,000+
Spines reconstructed
3
Dedicated notebooks

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