Neural spike sorting is a fundamental process in neurophysiology whereby electrical signals recorded from brain tissue are analysed to extract the firing times of individual neurons. This technique is ...
Wolfram-like attention framing meets spiking networks: event-triggered, energy-thrifty AI that “wakes” to stimuli.
What if we could peer into the brain and watch how it organizes information as we act, perceive, or make decisions? A new ...
What if we could peer into the brain and watch how it organizes information as we act, perceive, or make decisions? A new ...
Learn about the most prominent types of modern neural networks such as feedforward, recurrent, convolutional, and transformer networks, and their use cases in modern AI. Neural networks are the ...
IMAGE: INTERATION BETWEEN THE PRE- AND POST-SYNAPSE TUNED BY THE MODULATORY TERMINAL FOR THE REALIZTION OF BIOLOGICAL R-STDP CHARACTERISTIC. ILLUSTRATION OF AN APPLICATION SCENARIO OF THE R-STDP ...
“Neural networks are currently the most powerful tools in artificial intelligence,” said Sebastian Wetzel, a researcher at the Perimeter Institute for Theoretical Physics. “When we scale them up to ...
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