A phase-change memory model for neuromorphic computing
نویسندگان
چکیده
منابع مشابه
Phase Change Memory for Neuromorphic Systems and Applications
In this paper we summarize our recent results in the field of neuromorphic hardware design using synapses based on Phase Change Memory (PCM) devices. Emulation of synaptic plasticity effects such as long term potentiation/depression (LTP/LTD) and learning rules like spike-timing dependent plasticity (STDP) are emphasized. We discuss implementation of large-scale low-power spiking neural network...
متن کاملAb Initio Molecular-Dynamics Simulation of Neuromorphic Computing in Phase-Change Memory Materials.
We present an in silico study of the neuromorphic-computing behavior of the prototypical phase-change material, Ge2Sb2Te5, using ab initio molecular-dynamics simulations. Stepwise changes in structural order in response to temperature pulses of varying length and duration are observed, and a good reproduction of the spike-timing-dependent plasticity observed in nanoelectronic synapses is demons...
متن کاملTailoring Transient-Amorphous States: Towards Fast and Power-Efficient Phase-Change Memory and Neuromorphic Computing
A new methodology for manipulating transient-amorphous states of phase-change memory (PCM) materials is reported as a viable means to boost the speed, yet reduce the power consumption of PC memories, and is applicable to new forms of PCM-based neuromorphic devices. Controlling multiple-pulse interactions with PC materials may provide an opportunity toward developing a new paradigm for ultra-fas...
متن کاملNovel synaptic memory device for neuromorphic computing
This report discusses the electrical characteristics of two-terminal synaptic memory devices capable of demonstrating an analog change in conductance in response to the varying amplitude and pulse-width of the applied signal. The devices are based on Mn doped HfO₂ material. The mechanism behind reconfiguration was studied and a unified model is presented to explain the underlying device physics...
متن کاملEmulation of spike - timing dependent plasticity in phase - change memory cells for neuromorphic applications
We emulate the spike-timing dependent plasticity (STDP) behavior of biological synapse in two phase change memory (2-PCM) cells with 3x nm technology, which has been considered as a formulated Hebbian learning rule of our cognition, learning and memory abilities. Various STDP behaviors are successfully realized in 2-PCM synapse by varying the interval of set pulses on two cells and their pulse ...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Journal of Applied Physics
سال: 2018
ISSN: 0021-8979,1089-7550
DOI: 10.1063/1.5042408