Learning stimulus-stimulus association in spatio-temporal neural networks

• المؤلفون الرئيسيون: Yusoff, Nooraini, Ahmad, Farzana Kabir, Che Pa, Noraziah, Ab. Aziz, Azizi
• التنسيق: مقال
• اللغة: English
• منشور في: Penerbit UTM Press 2015
• الموضوعات: QA76 Computer software
• الوصول للمادة أونلاين: http://repo.uum.edu.my/16449/1/rg44.pdf; http://repo.uum.edu.my/16449/; http://doi.org/10.11113/jt.v77.6126

We propose a stimulus-stimulus association learning by coupling firing rate and precise spike timing encoding for spatio-temporal neural networks.We simulate a generic recurrent network with random and sparse connectivity consisting of Izhikevich spiking neurons.The magnitude of weight adjustment in...