Recent Advances at the Interface of Neuroscience and Artificial Neural Networks.

Publication Type:

Journal Article

Source:

J Neurosci, Volume 42, Issue 45, p.8514-8523 (2022)

Keywords:

Algorithms, Artificial Intelligence, Cognition, Neural Networks, Computer, Neurosciences

Abstract:

<p>Biological neural networks adapt and learn in diverse behavioral contexts. Artificial neural networks (ANNs) have exploited biological properties to solve complex problems. However, despite their effectiveness for specific tasks, ANNs are yet to realize the flexibility and adaptability of biological cognition. This review highlights recent advances in computational and experimental research to advance our understanding of biological and artificial intelligence. In particular, we discuss critical mechanisms from the cellular, systems, and cognitive neuroscience fields that have contributed to refining the architecture and training algorithms of ANNs. Additionally, we discuss how recent work used ANNs to understand complex neuronal correlates of cognition and to process high throughput behavioral data.</p>

Financement / Soutien / Partenaires

logo FRQ-S logo ctrn logo fci logo cihr irsc logo nserc logo MESISentinelle nord