An FPGA-based approach for parameter estimation in spiking neural networks.
Horacio Rostro-GonzálezGuillaume GarreauAndreas G. AndreouJulius GeorgiouJose Hugo Barron-ZambranoCésar Torres-HuitzilPublished in: ISCAS (2012)
Keyphrases
- parameter estimation
- spiking neural networks
- maximum likelihood
- biologically inspired
- least squares
- model selection
- parameter estimation algorithm
- em algorithm
- markov random field
- spiking neurons
- random fields
- artificial neural networks
- biologically plausible
- learning rules
- motor control
- feed forward
- neural network
- expectation maximization
- multiscale
- parameter estimates
- estimation problems
- data mining
- linear combination