Biological neural networks adapt and learn in diverse behavioral contexts. Artificial neural
networks (ANNs) have exploited biological properties to solve complex problems. However …

Artificial neural networks (ANNs) have emerged as an essential tool in machine learning,
achieving remarkable success across diverse domains, including image and speech …

Highlights•Behavioral diversity can be leveraged to reveal neural circuit functions.•Complex
tasks allow inference of latent behavioral variables to relate to neural activity.•Movements …

Abstract Artificial Neural Networks (ANNs) trained on specific cognitive tasks have re-
emerged as a useful tool to study the brain. However, ANNs would better aid cognitive …

Artificial neural networks (ANNs) are essential tools in machine learning that have drawn
increasing attention in neuroscience. Besides offering powerful techniques for data analysis …

Neuroscience and artificial intelligence (AI) share a long history of collaboration. Advances
in neuroscience, alongside huge leaps in computer processing power over the last few …

The fields of neuroscience and artificial intelligence (AI) have a long and intertwined history.
In more recent times, however, communication and collaboration between the two fields has …

Machine learning tools, particularly artificial neural networks (ANN), have become
ubiquitous in many scientific disciplines, and machine learning-based techniques flourish …

Conclusion Neural networks are experiencing a revival that not only transforms AI but also
provides new insights about neural computation in biological systems. The contributions in …

When the mathematician Alan Turing posed the question “Can machines think?” in the first
line of his seminal 1950 paper that ushered in the quest for artificial intelligence (AI)(1), the …