| Presentation | 2018-01-27 Neural Pulse Coding using ReRAM-based Neuron Devices Kazuki Nakada, |
|---|---|
| PDF Download Page |  PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | Researches on hardware implementation of neuromorphic systems and machine learning algorithms are steadily progressing. Recently, power saving and high-speed operation are increasingly demanded in applications in these fields, and next generation devices that can achieve such demands are highly expected. Since ReRAM (Resistive Random Access Memory), one of the most promising nonvolatile memories, can applied as synaptic devices, it has attracted much attention in the field of neuromorphic engineering. In this study, we propose ReRAM neuron devices and their possible application. First, we show the fundamental operations of typical ReRAMs and device modeling for the ReRAMs. Next, we explain two neuron models for our neuron devices, the Carrillo-Hoppensteadt model and the Reaction-Diffusion cell model. Next, based on such models, we propose device configurations exploiting unipolar characteristics of ReRAMs effectively by focusing on the nonlinear voltage--current characteristics of the ReRAMs. Furthermore, we demonstrate the fundamental operations of the proposed devices through SPICE simulations using the behavior model of ReRAM. Based on the results, we will discuss the prospect of neural pulse coding exploiting ReRAM neurons and ReRAM synapses. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | Resistive Random Access Memory (ReRAM) / Neuron Devices / Neural Pulse Coding |
| Paper # | NLP2017-98 |
| Date of Issue | 2018-01-19 (NLP) |
| Conference Information | |
| Committee | MBE / NC / NLP |
|---|---|
| Conference Date | 2018/1/26(2days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | Kyushu Institute of Technology |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | ME, generalImplementation of Neuro Computing,Analysis and Modeling of Human Science, |
| Chair | Kazuki Nakajima(Univ. of Toyama) / Masafumi Hagiwara(Keio Univ.) / Masaharu Adachi(Tokyo Denki Univ.) |
| Vice Chair | Masaki Kyoso(TCU) / Yutaka Hirata(Chubu Univ.) / Norikazu Takahashi(Okayama Univ.) |
| Secretary | Masaki Kyoso(Toyama Pref. Univ.) / Yutaka Hirata(Kindai Univ.) / Norikazu Takahashi(Tokyo Inst. of Tech.) |
| Assistant | Kim Juhyon(Univ. of Toyama) / Takumi Kobayashi(YNU) / Yoshihisa Shinozawa(Keio Univ.) / Keiichiro Inagaki(Chubu Univ.) / Toshihiro Tachibana(Shonan Inst. of Tech.) / Masayuki Kimura(Kyoto Univ.) |
| Paper Information | |
| Registration To | Technical Committee on ME and Bio Cybernetics / Technical Committee on Neurocomputing / Technical Committee on Nonlinear Problems |
|---|---|
| Language | JPN |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Neural Pulse Coding using ReRAM-based Neuron Devices |
| Sub Title (in English) | |
| Keyword(1) | Resistive Random Access Memory (ReRAM) |
| Keyword(2) | Neuron Devices |
| Keyword(3) | Neural Pulse Coding |
| 1st Author's Name | Kazuki Nakada |
| 1st Author's Affiliation | Hiroshima City University(Hiroshima City Univ.) |
| Date | 2018-01-27 |
| Paper # | NLP2017-98 |
| Volume (vol) | vol.117 |
| Number (no) | NLP-415 |
| Page | pp.pp.63-68(NLP), |
| #Pages | 6 |
| Date of Issue | 2018-01-19 (NLP) |