An Event-driven Recurrent Spiking Neural Network Architecture for Efficient Inference on FPGA.
Anand SankaranPaul DettererKalpana KannanNikolaos AlachiotisFederico CorradiPublished in: ICONS (2022)
Keyphrases
- event driven
- efficient inference
- feed forward
- spiking neural networks
- real time
- probabilistic inference
- fully connected
- hardware implementation
- conditional random fields
- markov random field
- recurrent neural networks
- approximate inference
- human pose estimation
- exact inference
- factor graphs
- biologically inspired
- graph structure
- back propagation
- structured prediction
- bio inspired
- neural network
- linear models
- parameter estimation
- artificial neural networks
- bayesian networks