Paper: 349269
Title: Toward a Moving Object Identification by Spiking Neurons

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PAPER: 11
TITLE: Toward a Moving Object Identification by Spiking Neurons
 
OVERALL RATING: -1 (weak reject) 
REVIEWER'S CONFIDENCE: 2 (medium) 
Relevance to this conference: 4 (good)
Originality/Uniqueness: 2 (poor)
English readability: 4 (good)
Paper organization/presentation: 3 (fair)
Has good survey been done?: 1 (very poor)


In general, the paper is written poorly, that was stated by its authors. The question arises, why we should use neural network (in particular spiking neural networks) to solve such problem (there are a lot of methods to identify moving object). There are two obvious answers, one is because they give a significant advantage compared with other methods (not shown in the paper), and the second is that it helps to facilitate interaction with other neural networks (also not reflected in the paper). There is no theoretical or experimental confirmation of the effectiveness of the proposed method for moving object identification. The neural network (section 2.3) used by authors is described quite blurry, resulting in doubts whether it can identify a moving object at all. I'd recommend to accept the report only if authors give at least theoretical or experimental (better both) justification of the effectiveness of proposed method. Article written at fairly good English, and in this respect, there's no any reproaches.