spiking-neural-network

Apa ini?

🎯 Tips Simulator

📚 Glosarium

SNN

Jaringan Syaraf Spiking

Spike

Pulsa listrik singkat (potensial aksi)

LIF

Model neuron Leaky Integrate-and-Fire

STDP

Plastisitas yang Bergantung pada Waktu Lonjakan

MembranePotential

Tegangan listrik di neuron

Threshold

Tegangan di mana neuron menyala

RefractoryPeriod

Waktu setelah lonjakan ketika neuron tidak dapat aktif

RateCoding

Informasi dikodekan dalam frekuensi lonjakan

TemporalCoding

Informasi dikodekan dalam waktu lonjakan

Neuromorphic

Komputasi yang terinspirasi dari otak

🏆 Tokoh Utama

Wolfgang Maass

Mesin Keadaan Cair, teori SNN

Carver Mead

Diciptakan 'neuromorfik', pelopor

Henry Markram

Proyek Otak Biru, penemuan STDP

Steve Furber

Pengembangan SpiNNaker

Mike Davies

Arsitek Intel Loihi

🎓 Sumber Belajar

Deep Learning With Spiking Neurons
Metode gradien pengganti
Neuronal Dynamics

💬 Pesan untuk Pelajar

{'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."}