کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
6865971 | 679603 | 2015 | 6 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
Emulation of spike-timing dependent plasticity in nano-scale phase change memory
ترجمه فارسی عنوان
امولسیون پلاستیک وابسته به سنسور زمان در حافظه تغییر فاز نانو مقیاس
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کلمات کلیدی
پلاستیک زمانبندی وابسته، سلول های حافظه دو مرحلهای، پتانسیل بلندمدت، افسردگی بلند مدت، سیناپس الکترونیکی،
موضوعات مرتبط
مهندسی و علوم پایه
مهندسی کامپیوتر
هوش مصنوعی
چکیده انگلیسی
The spike-timing dependent plasticity (STDP) of biological synapses, which is known to be a function of the formulated Hebbian learning rule of human cognition, learning and memory abilities, was emulated with two-phase change memory (2-PCM) cells built with 39Â nm technology. For this, we designed a novel time-modulated voltage (TMV) scheme for changing the conductance of 2-PCM cells, that could produce both long-term potentiation (LTP) and long-term depression (LTD) by applying variable (decreasing/increasing) pulse voltages according to the sign and magnitude in time interval between pre- and post-spikes. Since such schemes can be easily modified to have a variety of pulse shapes and time intervals between pulses, it is expected to be a proper scheme for designing diverse synaptic connection abilities. In addition, the small form factor and low energy consumption of 2-PCM make them comparable to biological synapses, which makes phase change memory a promising candidate for electronic synapses in large-scale neuromorphic system applications.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Neurocomputing - Volume 155, 1 May 2015, Pages 153-158
Journal: Neurocomputing - Volume 155, 1 May 2015, Pages 153-158
نویسندگان
Dae-Hwan Kang, Hyun-Goo Jun, Kyung-Chang Ryoo, Hongsik Jeong, Hyunchul Sohn,