Presentation Information
[2S09m-03]Biologically inspired approach to training recurrent spiking neural networks
*Davide Noè1,2, Hideaki Yamamoto1,2, Yuichi Katori3,4, Shigeo Sato1,2 (1. Research Institute of Electrical Communication, Tohoku University, 2. Graduate School of Engineering, Tohoku University, 3. School of Systems Information Science, Future University Hakodate, 4. International Research Center for Neurointelligence, The University of Tokyo)
Keywords:
Spiking neural networks,Biologically plausible learning,Eligibililty propagation,Computational neuroscience,Predictive coding
Password required to view
Comment
To browse or post comments, you must log in.Log in
