A neural network model for the intersensory coordination involved in goal-directed movements

In this paper we have presented the development of a neural network tool for the interpolation of missing critical frequency data of the F2 ionospheric layer (foF2) above

Although the geometry of the postsynaptic neuron seems to be able to determine the shape of the response recorded from the main neurite, the weak variability

To investigate the association between the characteristics of the retinal vascular network in the elderly and retinal nerve fiber layer (RNFL) thickness in a population-based

To investigate the cellular basis of adult neurogenesis in the mouse vomeronasal epithelium, we used a range of molecular markers (Fig. 1a) expressed at different stages of

In this paper we provide a principal investigation of whether the sensory effects are ready for the WWW and, in anticipation of the result, we propose how to

In this paper, we start from a minimal Neural Net- work [2] to study from a developmental perspective how low level imitation (mimicry), sequence learning and then action

Here we fitted a stochastic feedback optimal model to the saccades recorded in human subjects, in order to derive better estimates of neural noise in sensory

The paper examined the impacts of number of input lags, hidden neurons and training epochs on the precision of the multilayer artificial neural network in