The combination of STDP and intrinsic plasticity yields complex dynamics in recurrent spiking networks.
Andreea LazarGordon PipaJochen TrieschPublished in: ESANN (2006)
Keyphrases
- spiking neural networks
- feed forward
- recurrent networks
- biologically inspired
- spiking neurons
- learning rules
- biologically plausible
- highly nonlinear
- recurrent neural networks
- synaptic plasticity
- artificial neural networks
- complex systems
- dynamic model
- neural network
- computer networks
- bio inspired
- dynamical systems
- decision making
- social networks
- complex networks
- physical constraints
- back propagation
- spike trains
- video sequences
- hebbian learning
- genetic algorithm