Sentence examples for projections exert from inspiring English sources

When the muscles are impaired or defective, gland projections exert sufficient force to expand within the space between adjacent muscles.

This conclusion (Figs.  2, 3, 4; Table  2) is in line with the general notion that the corticospinal (CS) projection responsible for fine manual control is largely crossed (about 90% of CS axons decussate) and terminates on distal motoneurons, whereas the uncrossed CS projection exerts its control mostly on proximal and axial muscles (e.g. Brinkman and Kuypers 1973).

The present results demonstrate that amygdalar projections are capable of exerting a powerful excitatory postsynaptic drive that activates NPO neurons.

Through these crossed rubrospinal projections, the red nucleus exerts a facilitating influence on flexor alpha motor neurons and a reciprocal inhibiting influence on extensor alpha motor neurons.

However, an alternative possibility exists that RMTg projections to the PPTg may exert less influence on VTA-projecting PPTg neurons than on PPTg neurons with other functional consequences, such as, e.g., modulation of spinal motor neuron excitability (Scarnati et al. 2011).

Based on recent findings, we hypothesize that the thalamostriatal projections from these two regions exert opposing influences on the expression of behavioral habits.

Indeed, both electric (Celada et al., 2001) and optogenetic (Warden et al., 2012) stimulations of these projections have revealed that they primarily exert a stimulatory effect on 5-HT cell bodies.

In other words, a projection though quantitatively limited may still exert a functionally substantial influence.

These results suggest that exogenous activation of GluR5 in the BLA has robust inhibitory effect while endogenous activation of GluR5 exert defined modulatory effect on projection from BLA to CeM.

With the proximity function (3), they proposed an optimization model min { p ( x ) | x ∈ X } (4). to approach the (2) and exerted the projection gradient method to solve it with x k + 1 = P C { x k − s ∇ p ( x k ) }, where ∇p denotes the gradient of p ( x ) and can be shown as follows (see [4]): ∇ p ( x ) = ∑ i = 1 t a i ( x − P C i ( x ) ) + ∑ j = 1 r b j ( A x − P Q j ( A x ) ).

In these areas, dedicated networks of interneurons use feedback to exert control over the signals that the projection neurons carry to other areas of the brain.