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MIT brain model predicts unseen neuron error signals
MIT researchers built a biologically detailed AI model of a brain circuit that unexpectedly predicted a class of neurons firing before mistakes, later confirmed in decade-old macaque data. The finding ...
Engineers at the University of Liège have taken a major step forward in the architecture of artificial neural networks by creating a new type of spiking neuron. Called the Spiking Recurrent Cell (SRC) ...
The new model developed by Flatiron Institute researchers proposes that biological neurons have more control over their surroundings than previously thought, something that could be replicated in the ...
In a recent article published in Nature Materials, researchers reported a conductance-based organic electrochemical neuron (c-OECN) that mimicked biological signaling in neurons, especially activation ...
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