Abstract The advent of Deep Learning (DL) is poised to dramatically change the delivery of
healthcare in the near future. Not only has DL profoundly affected the healthcare industry it …

Over the last five decades, progress in neural recording techniques has allowed the number
of simultaneously recorded neurons to double approximately every 7 years, mimicking …

What happens in our brain when we make a decision? What triggers a neuron to send out a
signal? What is the neural code? This textbook for advanced undergraduate and beginning …

Statistical dependencies in the responses of sensory neurons govern both the amount of
stimulus information conveyed and the means by which downstream neurons can extract it …

Auditory stimulus reconstruction is a technique that finds the best approximation of the
acoustic stimulus from the population of evoked neural activity. Reconstructing speech from …

Encoding and decoding models are widely used in systems, cognitive, and computational
neuroscience to make sense of brain-activity data. However, the interpretation of their results …

The brain's function is to enable adaptive behavior in the world. To this end, the brain
processes information about the world. The concept of representation links the information …

The ultimate goal of neural interface research is to create links between the nervous system
and the outside world either by stimulating or by recording from neural tissue to treat or …

Exploiting data invariances is crucial for efficient learning in both artificial and biological
neural circuits. Understanding how neural networks can discover appropriate …

We present a Bayesian nonparametric model that discovers implicit social structure from
interaction time-series data. Social groups are often formed implicitly, through actions …