We don't need to keep up with our kids' changing lingo. Listening to the concerns, emotions, and desires that underlie the ...

Modality-agnostic decoders leverage modality-invariant representations in human subjects' brain activity to predict stimuli irrespective of their modality (image, text, mental imagery).

Healthcare has spent the last decade digitizing information. But digitization alone has not solved one of the most ...

This valuable study presents a plastic recurrent spiking network model that spontaneously generates repeating neuronal sequences under unstructured inputs. The authors provide solid evidence that, ...

Motivation In order to advance in the understanding of neuronal cultures as an alternative for in silico computers that could lead to a new generation of massivelly parallel biological neuroprocessors ...

Abstract: Recent studies have demonstrated strong associations between the changes in dynamic functional connectivity (FC) and both behavioral and cognitive functions. The sliding window technique is ...

Abstract: This paper investigates the set-membership state estimation problem for a class of networked time-varying systems with multi-rate measurements over half-duplex relay communication networks.

ABSTRACT: With the development of globalization and the advancement of technology, the exchanges and communication within multiple cultures become increasingly close and frequent. However, the ...

Kendra Pierre-Louis: For Scientific American’s Science Quickly, I’m Kendra Pierre-Louis, in for Rachel Feltman. With some estimates placing the number of Hawaiian monk seals left in the wild at just 1 ...

After poring over recordings from sperm whales in the Caribbean, UC Berkeley linguist Gasper Begus had an unlikely breakthrough. According to a new study from Begus and his colleagues with Project ...