Zayif Elektrik Baliklarinin Düǧüm Noktasinin Yapay Sinir Aǧlari Kullanilarak Takip Edilmesi

Translated title of the contribution: Tracking the Nodal Point of Weakly Electric Fish Using Artificial Neural Networks

Bahadir Çatalbaş, Doǧukaan Elikuru, Emin Yusuf Aydin, Ismail Uyanik

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

In living beings, there is a closed-loop system called sensorimotor transformation, in which the signals received by the sensory organs from the environment are processed in the nervous system, and the necessary motor signals are transmitted to the muscular system. Unfortunately, the closed-loop nature of the structure makes it difficult to decipher the relationship between inputs and outputs. Since the nodal point on the anal fin of the weakly electric fish (Eigenmannia virescens) may be an output of the sensorimotor control system, precisely monitoring its position is important. The method used in the literature to find the nodal point so far is to mark each video frame manually. However, manual marking creates a significant workload and causes a waste of time. This study aims to determine the position of the node that has been manually marked so far by using artificial neural networks more easily and effectively.

Translated title of the contributionTracking the Nodal Point of Weakly Electric Fish Using Artificial Neural Networks
Original languageUndefined/Unknown
Title of host publication31st IEEE Conference on Signal Processing and Communications Applications, SIU 2023
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9798350343557
DOIs
StatePublished - 2023
Externally publishedYes
Event31st IEEE Conference on Signal Processing and Communications Applications, SIU 2023 - Istanbul, Turkey
Duration: Jul 5 2023Jul 8 2023

Publication series

Name31st IEEE Conference on Signal Processing and Communications Applications, SIU 2023

Conference

Conference31st IEEE Conference on Signal Processing and Communications Applications, SIU 2023
Country/TerritoryTurkey
CityIstanbul
Period7/5/237/8/23

All Science Journal Classification (ASJC) codes

  • Signal Processing
  • Modeling and Simulation
  • Computer Networks and Communications
  • Computer Science Applications

Keywords

  • artificial neural network
  • deep learning
  • sensorimotor control
  • weakly electric fish

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