Decoding Intention at Sensorimotor Timescales

Decoding Intention at Sensorimotor Timescales

The ability to decode an individual's intentions in real time has long been a 'holy grail' of research on human volition. For example, a reliable method could be used to improve scientific study of voluntary action by allowing external probe stimuli to be delivered at different moments during development of intention and action. Several Brain Computer Interface applications have used motor imag...

Decoding intention: A neuroergonomic perspective

Decoding the intentions of other people based on non-linguistic cues such as their body movement is a major requirement of many jobs. Whether it is maintaining security at an airport or negotiating with locals in a foreign country, there is a need to maximize the effectiveness of training or real-time performance in this decoding process. This review considers the potential utility of neuroergo...

Prediction at Different Timescales

Face Recognition: Canonical Mechanisms at Multiple Timescales

Adaptation is ubiquitous in the nervous system, and many possible computational roles have been discussed. A new functional imaging study suggests that, in face recognition, the learning of 'norm faces' and adaptation resulting in perceptual after-effects depend on the same mechanism.

Revisiting the multiscaling hypothesis at medium timescales

Scaling refers to the absence of a particular characteristic time scale controlling a stochastic process. The literature on network traffic widely agrees on a monoscaling Gaussian self-similar traffic model at timescales larger than the round-trip time (RTT) of TCP segments. In this paper we show evidence that multiscaling may be present at these timescales. We discuss some scaling results that...