@article{article_320033, title={The lateral inhibition as conditional entropy enhancer}, journal={European Mechanical Science}, volume={1}, pages={24–30}, year={2017}, DOI={10.26701/ems.320033}, author={Yıldırım, Sefa and Arikan, Zulfiye and Ozdemir, Serhan}, keywords={Lateral inhibition,mutual information,Shannon entropy}, abstract={<p>Three kinds of redundant sensing have appeared to be utilized by the majority of living beings.  <span style="font-size:.9em;">Of these, the most remarkable feature of distributed sensor networks is the lateral inhibition  </span> <span style="font-size:.9em;">(LI),  where  sensors  output  in  proportion  to  its  own  excitation  and  each  sensor  negatively  </span> <span style="font-size:.9em;">influences its nearest neighbors. This brings about local effects such as contrast enhancement,  </span> <span style="font-size:.9em;">two-point discrimination, and funneling.  </span> <span style="font-size:.9em;">In information theory, entropy is a measure of the uncertainty related to a random variable.  </span> <span style="font-size:.9em;">Shannon entropy, quantifies the anticipated value of the information included in a message,  </span> <span style="font-size:.9em;">usually in units such as bits.  </span> <span style="font-size:.9em;">The purpose of this study is to analyze lateral inhibition mechanism in the light of the Shannon  </span> <span style="font-size:.9em;">entropy.  This  biological  mechanism  can  be  adapted  to  any  artificial  system  such  as  sensory  </span> <span style="font-size:.9em;">networks. With the aim of adapting this biological mechanism to the sensory networks it is  </span> <span style="font-size:.9em;">desired to create an information filter with the benefits of information filter feature of lateral  </span> <span style="font-size:.9em;">inhibition mechanism. The information has to be quantified in order to filter. In this point, the  </span> <span style="font-size:.9em;">Shannon entropy concept is intended to be used.  </span> </p>}, number={1}, publisher={Ahmet ÇALIK}