Spike‐Timing‐Dependent Plasticity in Memristors

Abstract

The spike-timing-dependent plasticity (STDP) characteristic of the memristor plays an important role in the development of neuromorphic network computing in the future. The STDP characteristics were observed in different memristors based on different kinds of materials. The investigation regarding the influences of device hysteresis characteristic, the initial conductance of the memristors, and the waveform of the voltage pulses applied to the memristor as preneuron voltage spike and postneuron voltage spike on the STDP behavior of memristors are reviewed.

Protection Strategies Enable Selective Conversion of Biomass

“…In such a water‐deficient system, glucose was readily converted to HMF followed by an immediate in situ aldol condensation reaction with surrounding acetone to form HMF–acetone adducts as was originally reported by Dumesic's group for making alkane fuels (Figure A) . Furanic yields of 86 %, 85 %, and 75 % were obtained for glucose, xylose, and spruce wood, with selectivity of 90 %, 91 % and 88 %, respectively (Figure B) . The yield of furanic fuel precursor from glucose was higher than the previously reported HMF yield (81 %) achieved in expensive solvent systems such as N , N ‐dimethylacetamide (DMA)/LiBr and ionic liquids .…”

“…Shuai and Pan introduced a chemical protection method to protect HMF from rehydration to form levulinic acid and condensation to form humins (Figure ) . In this process, the dehydration of sugars was conducted in a reactive organic solvent medium, acetone, with LiBr and HCl as co‐catalysts.…”

Experimental and theoretical evidence of ion engineering in nanocrystalline molybdenum disulfide memristors for non-filamentary switching actions and ultra-low-voltage synaptic features

“…2e and 2f, respectively, which illustrate that the higher width and shorter separation of the pulses cause a greater alteration in device conductivity, similar to biological synapses. 36,37 This signifies that the temporal correlation between the pre- and the post-synapse significantly influences the learning pattern of the artificial synapses.…”

Investigation of Resistance Switching and Synaptic Properties of VOx for Neuromorphic Applications

“…This indicates a weakening of the connection strength between two neurons in biological systems. 60 The relative time arrangement of prespike and postspike in these two processes determines the nature of the synaptic weight change. If we represent this synaptic weight change with a mathematical expression in percentage value, we can use an equation such as the one below.…”