Autors: Trendafilov, I. T., Gancheva, V. S.
Title: Neuromorphic Neurons and Networks for Artificial Intelligence Built Using Temporal Space Calculations
Keywords: Training, Neuromorphics, Neurons, Memristors, Software, Mo

Abstract: We deigned a spiking neural network that computes network weights in the temporal dimension. Such a network can be used for artificial intelligence and deep learning. We demonstrate circuits implementing blocks for building such a network and then a training model. This enables creation of efficient Hessenstein-Reichardt detectors observed in motion detection networks in the nature. The proposed network allows reconfiguration across network layers algorithmically.

References

    Issue

    XXXII International Scientific Conference Electronics, 2023, Bulgaria, DOI: 10.1109/ET59121.2023.10279371

    Цитирания (Citation/s):
    1. Trendafilov I., Neuromorphic Directional Motion Detector, 2026, Smart Innovation Systems and Technologies, issue 0, vol. 478 SIST, pp. 149-161, DOI 10.1007/978-3-032-20272-7_10, issn 21903018, eissn 21903026 - 2026 - в издания, индексирани в Scopus

    Вид: публикация в международен форум, публикация в реферирано издание, индексирана в Scopus