文档介绍：
Associative Memory via Memristive works#
ZENG Zhigang, WEN Shiping*
(College of Automation, Huazhong University of Science and Technology)
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Abstract: This paper investigates associative memory based on memristive works. Based on
the reproducible gradual resistance tuning in bipolar mode, a first-order voltage-controlled memristive
model is employed with asymmetric voltage thresholds. Since memrisive devices are especially tiny
to be densely packed in crossbar-like structures and possess long time memory needed by
neuromorphic synapses, this paper shows how to approximate the behavior of synapses in neural
networks using this memristive device. Certain works are established and applied in
associative memory.
Key words: Memristor; associative memory; works
0 Introduction
The sequential processing of fetch, decode, and execution of instructions through the
classical von Neumann bottleneck of conventional puters has resulted in less efficient
machines as their eco-systems have grown to be plex [1]. Though the current
puters can now possess puting speed plexity to emulate the brain
functionality of animals like a spider, mouse, and cat [2,3], the associated energy dissipation in the
system grows exponentially along the hierarchy of animal intelligence. Therefore, it is very critical
to build a brain-like machine.
On the other hand, it