Exploring Spiking Neural Network on Coarse-Grain Reconfigurable Architectures.
Hassan AnwarSyed M. A. H. JafriSergei DytckovMasoud DaneshtalabMasoumeh EbrahimiAhmed HemaniJuha PlosilaGiovanni BeltrameHannu TenhunenPublished in: MES (2014)
Keyphrases
- coarse grain
- fine grain
- spiking neural networks
- biologically inspired
- cerebellar model
- biologically plausible
- liquid state machine
- parallel computation
- spiking neurons
- learning rules
- motor control
- feed forward
- neural network
- artificial neural networks
- receptive fields
- real time
- nested transactions
- multithreading
- reconfigurable hardware
- distributed memory
- highly efficient
- higher order