NeuroscienceGPU10 credits

NEURON / Brian2 — Neural Circuit Simulation

Spiking neural network simulation via API

NEURON (Yale) and Brian2 (École Normale Supérieure) are the two standard simulators for computational neuroscience. SciRouter wraps both behind one endpoint: define a network topology, get back spike trains, firing rates, and network state. Backed by the BRAIN Initiative and the EU Human Brain Project ecosystem.

$0.10
per API call
10
credits per call
/v1/neuro/simulate-circuit
API endpoint

Features

Brian2 + NEURON + NEST backends
Spike trains, firing rates, network regime classification
Supports LIF, Izhikevich, Hodgkin-Huxley neurons
Allen Brain Atlas integration

Quick Start

Brian2 / NEURON — Python Examplepython
import requests

r = requests.post(
    "https://scirouter-gateway-production.up.railway.app/v1/neuro/simulate-circuit",
    headers={"Authorization": "Bearer sk-sci-..."},
    json={
        "simulator": "brian2",
        "neurons": 1000,
        "topology": "random",
        "duration_ms": 1000,
    },
)
result = r.json()["data"]
print(f"Total spikes: {result['total_spikes']}")
print(f"Mean rate: {result['mean_firing_rate_hz']:.1f} Hz")
print(f"Regime: {result['regime']}")

Use Cases

1

Computational neuroscience research

2

Network dynamics studies

3

BCI algorithm development

4

Teaching spiking neural networks

Learn More

Neural Circuit Simulation API: NEURON and Brian2 in the Cloud

13 min read

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