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spiking-neural-network

Build brain-like neural networks that communicate through discrete spikes like biological neurons. Explore SNNs - the third generation of neural networks that could be 1000x more energy efficient than deep learning.

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Was ist das?

🎯 Simulator-Tipps

📚 Glossar

SNN
Spikendes neuronales Netzwerk
Spike
Kurzer elektrischer Impuls (Aktionspotential)
LIF
Leaky Integrate-and-Fire-Neuronenmodell
STDP
Spike-Timing-abhängige Plastizität
MembranePotential
Elektrische Spannung im Neuron
Threshold
Spannung, bei der das Neuron feuert
RefractoryPeriod
Zeit nach der Spitze, in der das Neuron nicht feuern kann
RateCoding
In Spitzenfrequenz kodierte Informationen
TemporalCoding
Im Spike-Timing kodierte Informationen
Neuromorphic
Vom Gehirn inspiriertes Computing

🏆 Schlüsselpersonen

Wolfgang Maass

Liquid State Machines, SNN-Theorie

Carver Mead

Prägend für „neuromorph“, Pionier

Henry Markram

Blue Brain Project, STDP-Entdeckung

Steve Furber

SpiNNaker-Entwicklung

Mike Davies

Intel Loihi-Architekt

🎓 Lernressourcen

💬 Nachricht an Lernende

{'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."}

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