عنوان	Modeling triplet spike timing dependent plasticity using a hybrid TFT-memristor neuromorphic synapse
نوع پژوهش	مقاله چاپ‌شده در مجلات علمی
کلیدواژه‌ها	Memristor,Nanocrystalline-silicon thin film transistor (TFT),Synapse,Spike-timing-dependent plasticity (STDP)
چکیده	Abstract Triplet-based Spike Timing Dependent Plasticity (TSTDP) is an enhanced synaptic plasticity rule which can be implemented using new nano-scale technologies. Nanocrystalline-silicon thin film transistors (TFT) and memristors are of these nano-scale devices which can be integrated into three-dimensions using low-temperature processing. This paper proposes a new hybrid TFT-memristive circuit that implements the TSTDP. The proposed circuit is composed of two nanoparticle memory-TFTs in series with a current/charge controlled memristor, as the synapse. Our simulation results, using spike pairs with various timing intervals and frequencies, as well as different spike triplets, demonstrate a particularly close match to realistic biological measurements.
پژوهشگران	ثریا رستگار (نفر اول)، غلامرضا کریمی (نفر دوم)