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Found 2 papers, 1 papers with code
Local learning through propagation delays in spiking neural networks
We propose a novel local learning rule for spiking neural networks in which spike propagation times undergo activity-dependent plasticity.
Evolving spiking neuron cellular automata and networks to emulate in vitro neuronal activity
Neuro-inspired models and systems have great potential for applications in unconventional computing.
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