neuromorphic-chip-design

What is this?

🎯 Simulator Tips

📚 Glossary

Neuromorphic

Brain-inspired computing architecture

SNN

Spiking Neural Network

Spike

Discrete neural event (action potential)

LIF

Leaky Integrate-and-Fire neuron model

STDP

Spike-Timing-Dependent Plasticity

EventDriven

Only compute when events occur

Synapse

Connection between neurons

DVS

Dynamic Vision Sensor (event camera)

InMemoryComputing

Computation where data is stored

EdgeAI

AI processing on device, not cloud

🏆 Key Figures

Carver Mead

Coined 'neuromorphic', pioneered field

Giacomo Indiveri

Neuromorphic engineering leader

Steve Furber

SpiNNaker project leader

Mike Davies

Loihi chip leader

Dharmendra Modha

TrueNorth project leader

💬 Message to Learners

{'encouragement': "You're learning about chips that could run AI on a watch battery. Neuromorphic computing represents a fundamental rethinking of how computers should work.", 'reminder': "The brain computes with 20 watts what takes data centers megawatts. Nature solved efficient computing - we're finally learning to copy it.", 'action': 'Build a spiking neural network in the simulator. Watch the spikes propagate. See how learning changes connection strengths.', 'dream': 'A chip designer from Kenya might create the next breakthrough neuromorphic architecture. An algorithm researcher from Nigeria might solve the training problem. The future of computing needs global minds.', 'wiaVision': 'WIA Pin Code believes understanding brain-inspired computing should be accessible to everyone. The computers of the future might think more like you do.'}