Advancing neural computation: experimental validation and optimization of dendritic learning in feedforward tree networks.

Journal: American journal of neurodegenerative disease
Published Date: Dec 25, 2024

Abstract

OBJECTIVES: This study aims to explore the capabilities of dendritic learning within feedforward tree networks (FFTN) in comparison to traditional synaptic plasticity models, particularly in the context of digit recognition tasks using the MNIST dataset.

Authors

  • Seyed-Ali Sadegh-Zadeh
    Department of Computing, School of Digital, Technologies and Arts, Staffordshire University Stoke-on-Trent ST4 2DE, UK.
  • Pooya Hazegh
    Department of Radiology, Carver College of Medicine, University of Iowa Iowa, IA 52242, USA.

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