TY  - BOOK
AU  - Suñé, Jordi
TI  - Memristors for Neuromorphic Circuits and Artificial Intelligence Applications
KW  - graphene oxide||artificial neural network||simulation||neural networks||STDP||neuromorphics||spiking neural network||artificial intelligence||hierarchical temporal memory||synaptic weight||optimization||transistor-like devices||multiscale modeling||memristor crossbar||spike-timing-dependent plasticity||memristor-CMOS hybrid circuit||pavlov||wire resistance||AI||neocortex||synapse||character recognition||resistive switching||electronic synapses||defect-tolerant spatial pooling||emulator||compact model||deep learning networks||artificial synapse||circuit design||memristors||neuromorphic engineering||memristive devices||OxRAM||neural network hardware||sensory and hippocampal responses||neuromorphic hardware||boost-factor adjustment||RRAM||variability||Flash memories||neuromorphic||reinforcement learning||laser||memristor||hardware-based deep learning ICs||temporal pooling||self-organization maps||crossbar array||pattern recognition||strongly correlated oxides||vertical RRAM||autocovariance||neuromorphic computing||synaptic device||cortical neurons||time series modeling||spiking neural networks||neuromorphic systems||synaptic plasticity
UR  - https://mdpi.com/books/pdfview/book/2171
ER  -