Sentence examples for manual actions and from inspiring English sources

In this study, we investigated the neural processing resulting from viewing manual actions and the association with developing fine motor skills in human infants.

The main group effects were consistent with previous findings (Lloyd-Fox et al. 2009, 2011), revealing activation to the perception of manual actions and eye gaze shifts in inferior frontal and temporal regions of the cortex.

Interestingly, in a post hoc analysis, we found that the Mullen subcomponent measuring receptive language development was also correlated with increased cortical activation to the perception of manual actions (and not to the perception of eye gaze shifts).

The main group effects in response to the perception of human actions were consistent with previous findings in infants (Lloyd-Fox et al. 2009, 2011) and adults (for a review see Allison et al. 2000; Pelphrey et al. 2005), revealing activation to the perception of viewed manual actions and eye gaze shifts in bilateral inferior frontal and posterior temporal regions of the cortex.

Force variations in prehensile grip, while listening to manual action and control words, were analysed in order to consider the links between the kinematics of the hand and linguistic content.

In order to test our hypothesis, we devised a study in which participants were asked to imagine a person – seen from behind – performing a manual action and then to indicate the hand used by the imagined agent by showing their own right or left hand.

This area is involved with vocalization as well as manual action and could have been used as a neural substrate for interspecific communication and then to process speech.

In an initial channel-by-channel analysis of the fNIRS data, t-tests compared the grand averaged hemodynamic peak changes in HbO2 and HHb (during the time window of activation described in the methods) evoked by the manual action and eye gaze shift conditions relative to baseline.

Our implemented system, menu construction using an incremental knowledge acquisition system (MIKAS), asks the expert for simple explanations for each of the manual actions he/she takes and incorporates the explanations automatically into its knowledge base (KB) so that the system will perform these manually conducted actions automatically at the next occasion.

We used fNIRS to investigate neural substrates within individual infants and explore emerging relationships between early developing patterns of brain activation in response to the perception of human manual actions in others, and the infants' own fine motor development (Fig.  1).

The suitability of current data warehouse modeling methods for large-scale systems is questionable, as they require multiple manual actions to discover measures and relevant dimensional entities and they tend to disregard the system's dynamic aspects.