&lt;title&gt;Stochastic neural nets and vision&lt;/title&gt;

Fall, Thomas C.

doi:10.1117/12.45516

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Refractory Period -Observations1

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2014

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“…This short term memory effect of the refractory period can also be of consequence in other portions of the computational process. Figure 7 shows a graphic from an earlier paper [3] that shows how to build an XOR circuit from refractory neurons. Here is a quote from that paper as to how it functions:…”

Section: Refractory Period -Observationsmentioning

confidence: 99%

Refractory neural nets and vision

Fall¹

2014

Image Processing: Algorithms and Systems XII

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Biological understandings have served as the basis for new computational approaches. A prime example is artificial neural nets which are based on the biological understanding of the trainability of neural synapses. In this paper, we will investigate features of the biological vision system to see if they can also be exploited. These features are 1) the neuron's refractory period -the period of time after the neuron fires before it can fire again and 2) the ocular microtremor which moves the retinal neural array relative to the image. The short term memory due to the refractory period allows the before and after movement views to be compared. This paper will discuss the investigation of the implications of these two features.

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Section: Refractory Period -Observationsmentioning

confidence: 99%