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A recurrent neural network-based framework to non-linearly model behaviorally relevant neural dynamicsMost dynamical models introduced in the past were linear, which means that they assumed that changes in neural activity would follow a simple structure. While linear models tend to be easier to ...
Princeton scientists uncover how brain cells coordinate decisions, offering insight into mental health and cognitive function.
A generalized rotate-and-fire digital spiking neuron model that can be implemented by a simple asynchronous sequential logic circuit is proposed. The model can exhibit various nonlinear phenomena and ...
Ultimately, the big takeaway for ML researchers is that before proclaiming an AI milestone—or obituary—make sure the test itself isn’t flawed ...
The nervous system. By Scientificanimations.com. CC BY-SA 4.0, The nervous system. By Scientificanimations.com. CC BY-SA 4.0, According to the World Health Organization, as many as 50 million ...
Models in use for over fifty years estimate that its capabilities remain limited, and it's on this model that current artificial intelligences have been built. Yet they are particularly ...
After sitting through this, I still had some questions left, so I asked ChatGPT to explain oscillatory state-space models as introduced by Rusch and Rus in simple plain English.
Oct 22, 2024 Single-transistor neuron redefines efficiency in neuromorphic computing (Nanowerk Spotlight) Computing systems have made impressive progress, but they still fall short when compared to ...
Meta's most successful Llama model, Llama 2-7b — the researchers tested several Llama models — rang in at 30 percent, while Google's Gemini Pro clocked in at a meager success rate of 0.8 percent.
A novel spiking neuron model whose nonlinear dynamics is described by an asynchronous cellular automaton is presented. The model can be implemented by a simple digital sequential logic circuit but can ...
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