Learn neuromorphic computing without expensive hardware

Spiyk builds free, open-source tools and lessons that make brain-inspired computing easy to understand, try and build with. For students, self-taught developers and working engineers, anywhere in the world.

Try the neuron playground See the learning path

Why this exists

Neuromorphic computing could let AI run on a small fraction of today's energy, which matters for edge devices, sustainable AI and green computing. But learning it often needs costly hardware, paid courses or access to a research lab. Many capable people are priced out before they start. Spiyk aims to lower that barrier.

Available today

LIF Neuron Playground live

A browser-based leaky integrate-and-fire neuron simulator. No install; runs on older laptops and phones.

Coming next

Small spiking network

Raster plot and spike-rate view.

8-bit fixed-point mode

See how hardware limits change behaviour.

FPGA neuron

Verilog on a low-cost iCE40 board.

Lessons

A step-by-step path from first neuron to hardware.

Take part

This is built in public. Found something unclear or wrong? Open an issue on GitHub. Corrections, translations and ideas are welcome.