Biophysical Fidelity You Can Measure
Hodgkin–Huxley spike dynamics with high fidelity on standard hardware.
Enabling reproducible, inspectable neural simulation and validation.
Validated against canonical Hodgkin–Huxley models
BioSynapStudio has been benchmarked against established Hodgkin–Huxley neuron models using:
- Brian2
- NEURON
Evaluation includes:
- Spike amplitude
- Threshold behaviour
- Temporal dynamics
- Repolarisation characteristics
Reproducing canonical spike behaviour within tight error bounds.
What this enables
- Simulation of biophysically grounded neuron models
- Observation of spike-level dynamics
- Controlled experimentation with signal propagation
- Reproducible validation environments
From neurons to systems
BioSynapStudio enables the composition of neural elements into larger systems, allowing observation of behaviour across scales.
- Circuit design and system composition
- Signal dynamics experimentation
- Emergent system behaviour over time
Grounded in established neuroscience
The approach is informed by established models and principles, including:
- Hodgkin–Huxley neuron dynamics
- Ion channel behaviour
- Signal propagation mechanisms
Faithful, observable system behaviour grounded in biological principles.
Current areas of exploration
- Spike-level behaviour validation
- Governed neural dynamics
- Scaling from micro-circuits to larger systems
- Links between neural dynamics and computational behaviour
Collaborate with us
We are working with:
- Neuroscientists
- Computational researchers
- Academic institutions
From biological fidelity to real-world systems
This research also informs the development of systems designed for real-world deployment.
Built for practical experimentation
BSS Lab
Spike-level validation and neural behaviour analysis
- Model individual neurons and micro-circuits
- Observe membrane behaviour and spike dynamics
- Compare outputs against canonical models
BSS SSE
System-level composition and behaviour
- Combine neural elements into larger systems
- Experiment with signal propagation
- Observe emergent behaviour over time