Scaling to 1024 software processes and hardware cores of the distributed simulation of a spiking neural network including up to 20G synapses.
Elena PastorelliPier Stanislao PaolucciRoberto AmmendolaAndrea BiagioniOttorino FrezzaFrancesca Lo CiceroAlessandro LonardoMichele MartinelliFrancesco SimulaPiero ViciniPublished in: CoRR (2015)
Keyphrases
- spiking neural networks
- biologically inspired
- spiking neurons
- computer systems
- computing platform
- feed forward
- learning rules
- hardware software
- cerebellar model
- hebbian learning
- artificial neural networks
- biologically plausible
- multi core processors
- embedded systems
- neural network
- training algorithm
- motor control
- real time
- computational models
- runtime environment