An FPGA-Based High-Performance Neural Ensemble Spiking Activity Simulator Utilizing Generalized Volterra Kernel and Complexity Analysis.
Will X. Y. LiRay C. C. CheungYao XinDong SongTheodore W. BergerPublished in: J. Circuits Syst. Comput. (2016)
Keyphrases
- complexity analysis
- bio inspired
- neuron model
- spike trains
- spiking neural networks
- neural network
- hebbian learning
- theoretical analysis
- biologically plausible
- evolutionary robotics
- single neuron
- spiking neurons
- learning rules
- lower bound
- network architecture
- biologically inspired
- least squares
- ensemble learning
- feed forward
- image enhancement
- kernel function
- neural models
- human activities
- first order logic
- hodgkin huxley
- kernel methods
- computational complexity
- swarm intelligence
- basal ganglia
- neural model
- ensemble methods
- simulation model
- learning algorithm
- application specific
- hardware implementation
- fuzzy cognitive maps
- connectionist models
- back propagation
- artificial neural networks
- training data
- feature extraction