Research

On-device research index

arXiv research

A locally-built, LLM-digested index of recent arXiv papers in quant finance, geometry/topology, and statistical ML — keyword search served straight from SQLite on this machine.

168,982 papers · 148 categories

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1 result for “meta-neuron”

Efficient single input-output layer spiking neural classifier with time-varying weight modelcs.NE

SEF-M improves spiking neural network classification accuracy by 14%.

problem Improving spiking neural network classification accuracy.

method Meta-neuron based learning algorithm with time-varying weight model.

result Time-varying weight model improves classification accuracy by 14%.

spiking neural network supervised learning meta-neuron time-varying weight classification accuracy

2019-03-21abs ↗pdf ↗