STDP implementation using memristive nanodevice in CMOS-Nano neuromorphic networks

Ahmad Afifi, Ahmad Ayatollahi, Farshid Raissi
2009 IEICE Electronics Express  
Implementation of a correlation-based learning rule, Spike-Timing-Dependent-Plasticity (STDP), for asynchronous neuromorphic networks is demonstrated using 'memristive' nanodevice. STDP is performed using locally available information at the specific moment of time, for which mapping to crossbar-based CMOS-Nano architectures, such as CMOS-MOLecular (CMOL), is done rather easily. The learning method is dynamic and online in which the synaptic weights are modified based on neural activity. The
more » ... formance of the proposed method is analyzed for specifically shaped spikes and simulation results are provided for a synapse with STDP properties.
doi:10.1587/elex.6.148 fatcat:hhe2lkfp3rfr5o46jiga6ccym4