Inferring Human Visuomotor Q-functions

Inferring Visuomotor Priors for Sensorimotor Learning

Sensorimotor learning has been shown to depend on both prior expectations and sensory evidence in a way that is consistent with Bayesian integration. Thus, prior beliefs play a key role during the learning process, especially when only ambiguous sensory information is available. Here we develop a novel technique to estimate the covariance structure of the prior over visuomotor transformations--...

Visuomotor Functions in the Frontal Lobe.

This review surveys how vision becomes action through the frontal lobe. Signals from extrastriate areas create maps in frontal areas. These maps are shaped by visual features and shaded by goals, values, and experience, and they guide contingent activation of motor circuits to execute coordinated gaze, head, and limb movements. Frontal circuits also support the visual perception of learned obje...

On q-Quasiadditive and q-Quasimultiplicative Functions

In this paper, we introduce the notion of q-quasiadditivity of arithmetic functions, as well as the related concept of q-quasimultiplicativity, which generalise strong q-additivity and -multiplicativity, respectively. We show that there are many natural examples for these concepts, which are characterised by functional equations of the form f(qk+ra+b) = f(a)+f(b) or f(qk+ra+b) = f(a)f(b) for al...

Inferring Trading Strategies from Probability Distribution Functions Inferring Trading Strategies from Probability Distribution Functions

Multiplying Schur Q-functions