New computational model of real neurons could lead to better AI

An artist’s illustration of a digital hand and a human hand drawing one another. Credit: Alex Eben Meyer for Simons Foundation

Nearly all the neural networks that power modern artificial intelligence tools such as ChatGPT are based on a 1960s-era computational model of a living neuron. A new model developed at the Flatiron Institute’s Center for Computational Neuroscience (CCN) suggests that this decades-old approximation doesn’t capture all the computational abilities that real neurons possess and that this older model is potentially holding back AI development.

The new model developed at CCN posits that individual neurons exert more control over their …

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