Neuro Lab
Spiking circuit simulation, neural decoding, brain segmentation, and connectome inference — via API. NEURON, Brian2, NEST, graph NNs.
What's inside
Spiking Circuit Simulation
Simulate spiking neural networks with Brian2, NEURON, NEST, or NetPyNE. Up to 10,000 neurons, arbitrary connectivity, 60 seconds of simulated time. Returns spike statistics, firing rates, synchrony, and regime classification.
Neural Decoding
Decode behavioral variables from spike trains. Linear, LSTM, transformer, and Kalman decoders. R², RMSE, correlation metrics included.
Brain MRI Segmentation
Segment brain MRI into 14+ anatomical regions using Harvard-Oxford, AAL, or custom atlases. Voxel counts, volumes, mean intensities per region.
Connectome Inference
Infer connectome structure from neural recordings using graph neural networks, correlation, Granger causality, or transfer entropy. Returns node/edge counts, small-world coefficient, modularity.
FAQ
Why a neuroscience API?›
Neuroscience labs typically have zero DevOps capacity. Every grad student wants to run NEURON simulations but can't get GPU access. SciRouter gives them 500 free credits/month and one API call instead.
Which simulators are supported?›
Brian2 (Python-native, spiking), NEURON (gold-standard detailed biophysical), NEST (large-scale), NetPyNE (hybrid). Switch with a single `simulator` parameter.
What's the Allen Brain Atlas connection?›
The segment-brain endpoint uses atlases derived from the Allen Brain Atlas. For full single-cell Allen data access, the integration is on the roadmap.
Who uses this?›
Computational neuroscience labs (BRAIN Initiative, Human Brain Project), grad students, and emerging neurotech startups. The market is grant-funded — strong match for academic tier.
Can I publish research using this?›
Yes. Cite SciRouter + the underlying simulator authors (Brian2, NEURON). All tools are open-source; SciRouter provides the API layer.