Brain is a modular, bio-inspired artificial intelligence framework that integrates spiking neural networks, reinforcement learning, vision systems, and embedded microcontroller intelligence.
Developed by Seriki Yakub (Web4application), Brain aims to emulate aspects of natural cognition, combining symbolic reasoning and neural architectures.
| Module | Description |
|---|---|
| Spiking | Bio-inspired neural computation |
| Vision | Computer vision & object recognition |
| RL | Reinforcement learning pipelines |
| Arduino | Embedded AI on microcontrollers |
| DB | Data storage and neural memory |
| Numerical | Mathematical utilities and computation |
- Modular AI subsystems
- Cross-platform (Python, Arduino, microcontrollers)
- Supports both symbolic and connectionist learning
- Scalable architecture for AI experimentation
Refer to the Quick Start Guide.
[Input Sensors / Data Streams]
↓
[Vision / Spiking Modules]
↓
[Reinforcement Learning]
↓
[Memory / DB]
↓
[Arduino / Output Layer]
+--------------------------------+
| High-Level API / Pipeline | <-- users interact here
| - Multi-model orchestration |
| - Parameter sweeps |
| - Inference & fitting |
| - Pre/post processing |
+--------------------------------+
| Core Models | <-- equations + observables
| - JR, JR_SDDE, MPR, KM, WC |
| - VEP |
| - Neural population + network |
+--------------------------------+
| Integrators / Solvers | <-- Heun, Euler, Milstein
| - Deterministic & stochastic |
| - Adaptive step sizing |
| - GPU/CPU/C++ compatible |
+--------------------------------+
| Engine Abstraction Layer | <-- hardware independence
| - NumPy, CuPy, JAX, Torch, C++|
| - Auto-dtype, multi-sim |
| - Device transfer utilities |
+--------------------------------+
- Fork the repo
- Create a feature branch
- Submit a pull request
Follow PEP8 and Arduino C++ guidelines for consistency.
MIT License – see LICENSE file for details.