A Digital Processing in Memory Architecture Using TCAM for Rapid Learning and Inference Based on a Spike Location Dependent Plasticity

A Digital Processing in Memory Architecture Using TCAM for Rapid Learning and Inference Based on a Spike Location Dependent Plasticity

In this paper, we present a digital processing in memory (DPIM) configured as a stride edge-detection search frequency neural network (SE-SFNN) which is trained through spike location dependent plasticity (SLDP), a learning mechanism reminiscent of spike timing dependent plasticity (STDP). This mech...

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Bibliographic Details
Main Authors: Seong Min Kim, Kyeong Min Kim, Ji Hoon Choi, Seung Man Kang, Min Kyung Bang, So Hee Park, Eon Gyeong Lee, Seong Bae Park, Choong Seon Hong, Sang Hoon Hong
Format: Article
Language:English
Published: IEEE 2023-01-01
Series:IEEE Access
Subjects:
Digital processing in memory
fast training
in memory computation
TCAM
Online Access:https://ieeexplore.ieee.org/document/10006786/

Internet

https://ieeexplore.ieee.org/document/10006786/

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