AI with Artificial Dendritic Neurons for Sound Source Separation with Dr. Elena Dellaferrera

Science Society di Catarina Cunha

Note sull'episodio

In this episode, we delve into the fascinating world of auditory neuroscience with Dr. Elena Dellaferrera. We explore how our auditory system separates individual sources from mixed sounds - a challenge known as blind source decomposition.

In nature, auditory signals usually originate from multiple sound sources occurring simultaneously. Recognizing these individual sources is a formidable task for the human auditory system, which it handles elegantly by identifying repeating patterns within the acoustic input. However, recreating this behavior through computational models has been a largely unexplored territory.

Dr. Dellaferrera introduces us to her innovative, biologically inspired computational model designed to perform blind source separation on mixed acoustic stimuli sequences. The proposed model, grounded in a somatodendritic ne ... 

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Parole chiave
artificial intelligenceneuromorphicartificial neuronsblind source decompositionauditory neurosciencecomputational modelssound source separationsomatodendritic neuron modelhebbian learning rulesegregation capabilities