کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
409511 679074 2015 8 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Individual discrimination of freely swimming pulse-type electric fish from electrode array recordings
ترجمه فارسی عنوان
تبعیض فردی ماهی آزاد ماهی پالس ماهی آزاد از ضبط های الکترودهای آرایه
کلمات کلیدی
نوروئولوژی، تخلیه اندام هوایی، طبقه بندی، بسته ویولت پیچیده پیچیده درخت، ماشین بردار پشتیبانی، محدودیت تداوم
موضوعات مرتبط
مهندسی و علوم پایه مهندسی کامپیوتر هوش مصنوعی
چکیده انگلیسی

Pulse-type weakly electric fishes communicate through electrical discharges with a stereotyped waveform, varying solely the interval between pulses according to the information being transmitted. This simple codification mechanism is similar to the one found in various known neuronal circuits, which renders these animals as good models for the study of natural communication systems, allowing experiments involving behavioral and neuroethological aspects. Performing analysis of data collected from more than one freely swimming fish is a challenge since the detected electric organ discharge (EOD) patterns are dependent on each animal׳s position and orientation relative to the electrodes. However, since each fish emits a characteristic EOD waveform, computational tools can be employed to match each EOD to the respective fish. In this paper we describe a computational method able to recognize fish EODs from dyads using normalized feature vectors obtained by applying Fourier and dual-tree complex wavelet packet transforms. We employ support vector machines as classifiers, and a continuity constraint algorithm allows us to solve issues caused by overlapping EODs and signal saturation. Extensive validation procedures with Gymnotus sp. showed that EODs can be assigned correctly to each fish with only two errors per million discharges.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Neurocomputing - Volume 153, 4 April 2015, Pages 191–198
نویسندگان
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