A real-time silicon cerebellum spiking neural model based on FPGA.
Junwen LuoGraeme CoapesPatrick DegenaarTadashi YamazakiTerrence S. T. MakChung TinPublished in: ISIC (2014)
Keyphrases
- real time
- cerebellar model
- spiking neural networks
- high speed
- low cost
- bio inspired
- synaptic plasticity
- neuron model
- biologically plausible
- fpga hardware
- spike trains
- address event representation
- hebbian learning
- neural network
- learning rules
- fpga implementation
- network architecture
- biologically inspired
- dedicated hardware
- data acquisition
- spiking neurons
- hardware implementation
- single neuron
- fpga device
- event driven
- robot control
- vision system
- low power consumption
- pipelined architecture
- control system