Pair-associate learning with modulated spike-time dependent plasticity
We propose an associative learning model using reward modulated spike-time dependent plasticity in reinforcement learning paradigm. The task of learning is to associate a stimulus pair, known as the predictor−choice pair, to a target response.In our model, a generic architecture of neural network ha...
Main Authors: | Yusoff, Nooraini, Grüning, André, Notley, Scott |
---|---|
Other Authors: | Villa, Alessandro E. P. |
Format: | Book Section |
Published: |
Springer
2012
|
Subjects: |
Similar Items
-
Supervised associative learning in spiking neural network
by: Yusoff, Nooraini, et al.
Published: (2010) -
Biologically inspired temporal sequence learning
by: Yusoff, Nooraini, et al.
Published: (2012) -
Learning anticipation through priming in spatio-temporal neural networks
by: Yusoff, Nooraini, et al.
Published: (2012) -
Stimulus-stimulus association via reinforcement learning in spiking neural network
by: Yusoff, Nooraini, et al.
Published: (2013) -
Competition and cooperation in colour-word Stroop effect: An association approach
by: Yusoff, Nooraini, et al.
Published: (2009)