Computing Motion with 3D Memristive Grid [article]

Chuan Kai Kenneth. Lim, T. Prodromakis
<span title="2013-03-13">2013</span> <i > arXiv </i> &nbsp; <span class="release-stage" >pre-print</span>
Computing the relative motion of objects is an important navigation task that we routinely perform by relying on inherently unreliable biological cells in the retina. The non-linear and adaptive response of memristive devices make them excellent building blocks for realizing complex synaptic-like architectures that are common in the human retina. Here, we introduce a novel memristive thresholding scheme that facilitates the detection of moving edges. In addition, a double-layered 3-D memristive
more &raquo; ... network is employed for modeling the motion computations that take place in both the Outer Plexiform Layer (OPL) and Inner Plexiform Layer (IPL) that enables the detection of on-center and off-center transient responses. Applying the transient detection results, it is shown that it is possible to generate an estimation of the speed and direction a moving object.
<span class="external-identifiers"> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/1303.3067v1">arXiv:1303.3067v1</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/4pnjuz4mu5gnfcrcjwsjseenae">fatcat:4pnjuz4mu5gnfcrcjwsjseenae</a> </span>
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