Large language models (LLMs) have made remarkable progress in recent years. But understanding how they work remains a challenge and scientists at artificial intelligence labs are trying to peer into ...

Networks of sparsely connected excitatory and inhibitory spiking neurons display a range of dynamical phases, from slow, irregular firing to globally synchronized activity. Neural systems have ...

The world, and countless generations of interactions with it, coaxed our brains to evolve in the unique way that humans perceive reality. And yet, thanks to the past century's developments in ...

CAMBRIDGE, MA -- Within the past few years, models that can predict the structure or function of proteins have been widely used for a variety of biological applications, such as identifying drug ...

SHENZHEN, China, Feb. 14, 2025 /PRNewswire/ -- MicroCloud Hologram Inc. (NASDAQ: HOLO), ("HOLO" or the "Company"), a technology service provider, they Announced the deep optimization of stacked sparse ...

The representation of individual memories in a recurrent neural network can be efficiently differentiated using chaotic recurrent dynamics.