Abstract
Biological neurons are the building blocks of the human brain, responsible for processing and transmitting information through electrical and chemical signals. Inspired by this, researchers developed artificial neural networks (ANNs), which are computer models designed to perform problem-solving and pattern recognition. While ANNs are based on the structure of biological neurons, they function in very different ways. This paper explores the similarities and differences between biological neurons and artificial neural networks, showing how nature inspired technology, and how the two systems compare in structure, processing, and efficiency.
Citations
IRE Journals:
Umme Hani, Shifa Taj "Biological Neurons vs. Artificial Neural Networks" Iconic Research And Engineering Journals Volume 9 Issue 5 2025 Page 1328-1330 https://doi.org/10.64388/IREV9I5-1711643
IEEE:
Umme Hani, Shifa Taj
"Biological Neurons vs. Artificial Neural Networks" Iconic Research And Engineering Journals, 9(5) https://doi.org/10.64388/IREV9I5-1711643
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