The need for high-throughput, precise, and meaningful methods for measuring behavior has
been amplified by our recent successes in measuring and manipulating neural circuitry. The …

Naturalistic experimental paradigms in neuroimaging arose from a pressure to test the
validity of models we derive from highly-controlled experiments in real-world contexts. In …

Despite deep brain stimulation's positive early results in psychiatric disorders, well-designed
clinical trials have yielded inconsistent clinical outcomes. One path to more reliable benefit …

Objective. Complex spatiotemporal neural activity encodes rich information related to
behavior and cognition. Conventional research has focused on neural activity acquired …

Objective. This review paper provides an integrated perspective of Explainable Artificial
Intelligence (XAI) techniques applied to Brain-Computer Interfaces (BCIs). BCIs use …

Develo** useful interfaces between brains and machines is a grand challenge of
neuroengineering. An effective interface has the capacity to not only interpret neural signals …

Highlights•Data-intensive discovery is increasingly prevalent in modern human
neuroscience.•Well-motivated choices of input and output data is crucial in data-driven …

Understanding the neural basis of human movement in naturalistic scenarios is critical for
expanding neuroscience research beyond constrained laboratory paradigms. Here, we …

The ultimate goal of brain-computer-interface (BCI) research on speech restoration is to
develop devices which will be able to reconstruct spontaneous, naturally spoken language …

In analyzing the neural correlates of naturalistic and unstructured behaviors, features of
neural activity that are ignored in a trial-based experimental paradigm can be more fully …