Author

Blake Richards

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#artificial intelligence Apr 2026

NeuroAI and Beyond: Bridging Between Advances in Neuroscience and ArtificialIntelligence

It is argued that NeuroAI, neuroscience-informed artificial intelligence, has the potential to overcome limitations of current AI while deepening the authors' understanding of biological neural computation, and requires a new generation of researchers trained across the boundary between neuroscience and engineering.

A. Zador, J. Fellous, Terrence J. Sejnowski et al. · arXiv.org · 3 citations

Open access Aug 2026

Top-down feedback in deep neural networks leads to functional differences during audiovisual integration

Artificial neural networks (ANNs) are an important tool for studying neural computation, but many features of the brain are not captured by standard ANN architectures. One notable missing feature in most ANN models is top-down feedback, that is projections from higher-order layers to lower-order layers in the network....

Mashbayar Tugsbayar, Ming-Ze Li, Eilif B. Muller et al. · eLife · 0 citations