How can we make sense of large-scale recordings of neural activity across learning? Theories of neural network learning with their origins in statistical physics offer a potential answer: for a given ...

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Non-Abelian gauge fields play an important role in modern theories of fundamental interactions. Here, we report the realization of non-Abelian adiabatic mixing for solving a general IS problem G (8,7) ...

The ability to associate sensory stimuli with abstract classes is critical for survival. How are these associations implemented in brain circuits? And what governs how neural activity evolves during ...

We present a theory of neural circuits’ design and function, inspired by the random connectivity of real neural circuits and the mathematical power of random projections. Specifically, we introduce a ...

Perhaps the most enduring idea from the early days of AI is that of a declarative system reasoning over explicitly represented knowledge with a general inference engine. Such systems require a formal ...

An OIP bushing failure on the 400-kV, 100-MVAR reactor caused this reactor fire. A large percentage of the power transformers in commission contain large quantities of mineral oil. While the ...

Imagine an 11-year window of time when you lose 57 – repeat 57 – friends and colleagues, often watching them die in horrific circumstances doing exactly what you do, weekend after weekend. To be a ...