TY - GEN
T1 - Zayif Elektrik Baliklarinin Düǧüm Noktasinin Yapay Sinir Aǧlari Kullanilarak Takip Edilmesi
AU - Çatalbaş, Bahadir
AU - Elikuru, Doǧukaan
AU - Aydin, Emin Yusuf
AU - Uyanik, Ismail
N1 - Publisher Copyright:
© 2023 IEEE.
PY - 2023
Y1 - 2023
N2 - 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.
AB - 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.
KW - artificial neural network
KW - deep learning
KW - sensorimotor control
KW - weakly electric fish
UR - http://www.scopus.com/inward/record.url?scp=85173503749&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85173503749&partnerID=8YFLogxK
U2 - 10.1109/SIU59756.2023.10223776
DO - 10.1109/SIU59756.2023.10223776
M3 - Conference contribution
AN - SCOPUS:85173503749
T3 - 31st IEEE Conference on Signal Processing and Communications Applications, SIU 2023
BT - 31st IEEE Conference on Signal Processing and Communications Applications, SIU 2023
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 31st IEEE Conference on Signal Processing and Communications Applications, SIU 2023
Y2 - 5 July 2023 through 8 July 2023
ER -