Multi-modal association learning using spike-timing dependent plasticity (STDP)
We propose an associative learning model that can integrate facial images with speech signals to target a subject in a reinforcement learning (RL) paradigm. Through this approach, the rules of learning will involve associating paired stimuli (stimulus–stimulus, i.e., face–speech), which is also know...
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| Format: | Thesis |
| Language: | English English |
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2014
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| Online Access: | https://etd.uum.edu.my/5615/1/s809894_01.pdf https://etd.uum.edu.my/5615/2/s809894_02.pdf |