30.2 A 22nm 0.26nW/Synapse Spike-Driven Spiking Neural Network Processing Unit Using Time-Step-First Dataflow and Sparsity-Adaptive In-Memory Computing.
Ying LiuYufei MaNinghui ShangTianhao ZhaoPeiyu ChenMeng WuJiayoon RuTianyu JiaLe YeZhixuan WangRu HuangPublished in: ISSCC (2024)
Keyphrases
- processing units
- parallel computing
- spiking neurons
- spiking neural networks
- learning rules
- biologically inspired
- computing systems
- synaptic weights
- parallel processing
- massively parallel
- biologically plausible
- artificial neural networks
- feed forward
- liquid state machine
- machine learning
- cerebellar model
- multiple types
- feature extraction