spiking-neural-network

What is this?

🎯 Simulator Tips

📚 Glossary

SNN

Spiking Neural Network

Spike

Brief electrical pulse (action potential)

LIF

Leaky Integrate-and-Fire neuron model

STDP

Spike-Timing-Dependent Plasticity

MembranePotential

Electrical voltage in neuron

Threshold

Voltage at which neuron fires

RefractoryPeriod

Time after spike when neuron can't fire

RateCoding

Information encoded in spike frequency

TemporalCoding

Information encoded in spike timing

Neuromorphic

Brain-inspired computing

🏆 Key Figures

Wolfgang Maass

Liquid State Machines, SNN theory

Carver Mead

Coined 'neuromorphic', pioneer

Henry Markram

Blue Brain Project, STDP discovery

Steve Furber

SpiNNaker development

Mike Davies

Intel Loihi architect

💬 Message to Learners

{'encouragement': "You're learning about the third generation of neural networks - one that could be 1000x more efficient than current AI. SNNs represent the bridge between neuroscience and artificial intelligence.", 'reminder': 'The brain is still the most efficient intelligent system we know. SNNs try to learn from its principles - sparse, event-driven, temporal computation.', 'action': 'Build spiking neurons in the simulator. Watch STDP learning unfold. See how timing affects connections. Experience computation through spikes.', 'dream': 'A neuroscientist from Kenya might unlock new SNN learning rules. An engineer from Nigeria might design breakthrough neuromorphic chips. Brain-inspired AI needs global perspectives.', 'wiaVision': "WIA Pin Code believes brain-inspired computing should be understood globally. If we can match the brain's efficiency, AI becomes accessible to everyone, everywhere."}