In sampling-based Bayesian models of brain function, neural activities a...
Artificial intelligence (AI) is rapidly becoming one of the key technolo...
Predictive coding has emerged as a prominent model of how the brain lear...
Objective: A major challenge in closed-loop brain-computer interfaces (B...
Inspired by Gibson's notion of object affordances in human vision, we as...
Human vision involves parsing and representing objects and scenes using
...
We introduce Active Predictive Coding Networks (APCNs), a new class of n...
Tracking a turbulent plume to locate its source is a complex control pro...
Brain-computer interfaces (BCIs) use decoding algorithms to control
pros...
Recent advances in brain recording technology and artificial intelligenc...
The Indus script remains one of the last major undeciphered scripts of t...
The field of brain-computer interfaces is poised to advance from the
tra...
The field of brain-computer interfaces is poised to advance from the
tra...
We present BrainNet which, to our knowledge, is the first multi-person
n...
A fundamental problem faced by object recognition systems is that object...
Current statistical models for structured prediction make simplifying
as...