Multi-DL-ReSuMe: Multiple neurons Delay Learning Remote Supervised Method

摘要: Spikes are an important part of information transmission between neurons in the biological brain. Biological evidence shows that is carried timing individual action potentials, rather than only firing rate. Spiking neural networks devised to capture more characteristics brain construct powerful intelligent systems. In this paper, we extend our newly proposed supervised learning algorithm called DL-ReSuMe (Delay Learning Remote Supervised Method) train multiple classify spatiotemporal spiking patterns. method, a number instead single neuron trained perform classification task. The simulation results show population has significantly higher processing ability compared neuron. It also shown performance Multi-DL-ReSuMe (Multiple DL-ReSuMe) increased when desired spikes spike trains appropriate number.