P. Stoliar

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Non-Hebbian learning is often encountered in different bio-organisms. In these processes, the strength of a synapse connecting two neurons is controlled not only by the signals exchanged between the neurons, but also by an additional factor external to the synaptic structure. Here we show the implementation of non-Hebbian learning in a single solid-state(More)
High-resolution microscopy techniques have been extensively used to investigate the structure of soft, biological matter at the nanoscale, from very thin membranes to small objects, like viruses. Electron microscopy techniques allow for obtaining extraordinary resolution by averaging signals from multiple identical structures. In contrast, atomic force(More)
1 Hysteresis eects All the I SD-V G plots of our devices were accompanied by hysteresis. Fig. S1 (a) shows the channel current of Sample C as a function of gate voltage V G for V SD = 5 V. An increase in V G to 40 V is accompanied by monotonic increase in I SD from ∼1 nA to ∼100 µA. However, with decreasing V G from 40 V to zero (sequence 6-7-8), the(More)
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