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It was observed that environmental noise can drive synchronized movement of a population toward a chemoattractant into stochastic chaos. Those results have been used here to explore the effectiveness of different kinds of noise filters in restoring coherent motion of the cells. An auto-associative neural filter was the best, followed by the extended Kalman filter. The performance of either filter depended on the relative rates of motion of the bacteria and the chemoattractant, and on whether the responses of the cells to fluctuations in the external chemoattractant was non-adaptive or adaptive. The results establish: (a) the validity and usefulness of fractal indexes to characterize noise-affected chemotaxis, (b) the significance of the effect of environmental noise on chemotactic motility, and (c) the effectiveness of a neural filter in rescuing coherent population movement from noise-induced chaos.<\/p>","DOI":"10.4018\/ijcce.20130701010","type":"journal-article","created":{"date-parts":[[2013,7,10]],"date-time":"2013-07-10T11:32:50Z","timestamp":1373455970000},"page":"125-144","source":"Crossref","is-referenced-by-count":0,"title":["Restoration of Coherent Population Movement from Noise-Induced Chaos in the Chemotaxis of E. Coli"],"prefix":"10.4018","volume":"3","author":[{"given":"Pratap R.","family":"Patnaik","sequence":"first","affiliation":[{"name":"Department of Chemical Engineering, C. V. 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