N-Omniglot, a large-scale neuromorphic dataset for spatio-temporal sparse few-shot learning

Understand

Few-shot learning (learning with a few samples) is one of the most important cognitive abilities of the human brain.

• However, the current artificial intelligence systems meet difficulties in achieving this ability.
• Similar challenges also exist for biologically plausible spiking neural networks (SNNs).
• Datasets for traditional few-shot learning domains provide few amounts of temporal information.