The representation of individual memories in a recurrent neural network can be efficiently differentiated using chaotic recurrent dynamics.
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Fascinating new neuroscience model predicts intelligence by mapping the brain’s internal clocks
A new study suggests that the brain processes information with high efficiency by synchronizing the physical wiring of neural ...
The world’s most powerful supercomputers can now run simulations of billions of neurons, and researchers hope such models ...
Here’s what you’ll learn when you read this story: Scientists showed that it’s possible to reproduce an entire cerebral cortex inside one of the world’s fastest computers. The model represents the ...
LumiMind debuts real-time non-invasive brain computer interfaces at CES 2026, pairing live gameplay demos with LumiSleep, a ...
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Biomimetic brain modeling mirrors animal learning and neural dynamics
A new computational model of the brain based closely on its biology and physiology not only learned a simple visual category learning task exactly as well as lab animals, but even enabled the ...
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Evaluating how brains generalize: Data from macaque monkeys reveals flaws in deep neural networks
Among the marvels of the human brain is its ability to generalize. We see an object, like a chair, and we know it's a chair, even when it's a slightly different shape, or it's found in an unexpected ...
For the first time, researchers at the Netherlands Institute for Neuroscience and Amsterdam UMC have identified what happens in neural networks deep within the brain during obsessive thoughts and ...
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