Sentence examples for most computational models from inspiring English sources
In reality, most computational models of most things have, historically speaking, been wrong — or at least incomplete, effective in some circumstances, not all.
Most computational models of BR emphasize competitive inhibitory interactions at multiple neural sites, as well as feedback connections73 and attentional modulations, mediated by signals from late to early visual areas and/or signals from frontoparietal areas74.
However, most computational models either have to be generated manually, or fail to smoothly cover the irregular surfaces inside the left and right ventricles.
Most computational models of protein-ligand interactions consider only the energetics of the final bound state of the complex and do not examine the dynamics of the ligand as it enters the binding site.
In contrast, in most computational models and data analysis it is assumed that the retinal image is available directly in the instantaneous firing rate because the sensitivity to a certain image feature is defined in terms of the instantaneous firing rate [13], [14], [20] [24].
Most computational models of cerebellar function are based on learning-induced changes in the strength of transmission at parallel fibre-Purkinje neuron synapses [1] [3], a process generally assumed to be achieved by frequency-dependent long-term synaptic plasticity [4] [7].
This inheritance structure is consistent with the approaches of most computational multicell models.
However, most existing computational models are designed for detecting saliency in visible images or videos.
Most current computational models of neocortical networks assume a homogeneous and isotropic arrangement of local synaptic couplings between neurons.
Most leading computational models of visual attention (for example, [23], [37], [38]) and neglect [34], [35], [36] tend to use covert rather than overt attentional movements so that the entire scene is processed for each location that is attended.
The article is organized as follows: in Section 2, we formally define the SIH reconstruction problem and its most common computational models.
