Episode 9: The neuron

5 October, 2021

#podcast #T2E9

Already at the dawn of artificial intelligence, scientists looked to nature. And specifically, the human brain, the paradigm of “natural” intelligence. So the logical thing to do was to be inspired, and create analogues of neurons and their connections. In this way, back in the 1950s, the foundations of neural networks as we know them were created. In this episode we talk about the history and characteristics of artificial neurons and interview Jose Manuel Benitez, professor in the Department of Computer Science and Artificial Intelligence at the UGR, and colleague at the Andalusian Institute of Artificial Intelligence – DaSCI.
Artificial Intelligence – DaSCI.

Listen “SintonIA 09 – La neurona” at Spreaker.

Reference:

Deep neural networks using a single neuron: folded-in-time architecture using feedback-modulated delay loops. Feedback-modulated delay loops. Florian Stelzer, André Röhm, Raul Vicente, Ingo
Fischer & Serhiy Yanchuk. Nature Communications volume 12, 5164 (2021).
https://doi.org/10.1038/s41467-021-25427-4