Author

Gina C. Adam

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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

Preprint Sep 2026

Scaled Hippocampus-inspired Neural Networks on Neuromorphic Memristive Hardware

This work proposes a network downscaling methodology utilizing a 4-prong objective function and demonstrates a small-scale CA3-inspired network with 179 Izhikevich-modeled neurons, 3 neuronal types and 17,996 synapses with similar resting-state dynamics as the orders-of-magnitude larger full-scale network.

Joseph A. Kilgore, Jeffrey D. Kopsick, Zahin Ahmed et al. · 0 citations