The input output data set of the HVAC system were first stored and than these data sets were used to predict the fan motor speed based on adaptive network based fuzzy inference system (ANFIS).
In order to determine whether connectivity differences were specific to the ToM network or reflected widespread reduction in connectivity in ASC, we performed correlation analyses on 2 additional "control" networks: A motor network and a visual network based on the contrast of faces versus null.
This paper presents a recurrent neural network based novelty filter where a Scitos G5 mobile robot explored the environment and built dynamic models of observed sensory motor values, then the acquired models of normality are used to predict the expected future values of sensory motor inputs during patrol.
In particular, the paper proposes a method for encoding evolved neural-network based behaviours into motor schema-based controllers and then shows how these controllers can be modified and combined to produce robots capable of solving new tasks.
Using a control dataset, we developed a method for automated detection of key nodes in the motor network, including the primary motor cortex, supplementary motor area, premotor area and superior parietal lobule, based on the anatomic location of the hand-motor knob in the primary motor cortex.
The present study, based on a network perspective, demonstrates a decline of structural integrity with preserved functional organisation of the motor network in ALS.
For example, when the seed voxel is based on activation in a motor task, the resting-state fcMap gives information about functionally connected regions involved in the motor network.
The supplementary motor area (SMA) is a key node of the motor network.
Sharma, N., Baron, J. C. & Rowe, J. B. Motor imagery after stroke: relating outcome to motor network connectivity.
A skilled, automated behavioral task to assess motor network function during in vivo imaging in mice.
