Sentence examples for multidimensional pattern space from inspiring English sources

For the visual system, we have shown here that it is also realistic to characterize cortical responses to dynamic stimuli as trajectories in the multidimensional pattern space.

Finally, cortical responses to dynamic visual stimuli may be described as successions of activity patterns, i.e. trajectories in a multidimensional pattern space, reflecting the temporal characteristics of stimuli.

The trajectory in the multidimensional pattern space was defined by first segmenting each trial into non-overlapping windows of size equal to the integration time constant that was used to compute the patterns.

Clusters can be of any arbitrary shapes and sizes in a multidimensional pattern space [ 20].

Significantly higher than chance accuracy of this prediction indicates the discriminability of recorded signal between two stimulus conditions in the multidimensional pattern space.

The goal of exploratory modeling is to better understand the system of interest through delineation of plausible boundaries, description of patterns within multidimensional model space, and to the extent possible, quantification of the likelihood of occurrence of different model outcomes.

An effective method for designing neural network to classify patterns in the multidimensional feature space is introduced.

Then, the detection of received signal can be formulated to determining a separating hyper-plane which divides the two-group pattern objects in a multidimensional features space, under the minimum classification errors [42].

Thus, UWB data detection is formulated as a pattern classification problem in a multidimensional feature space.

For the large workload histories, a multidimensional space of candidate patterns is still finite, however, in practice it is too large for the efficient generation and verification of complex periodic patterns.

An attractor network belongs to the same general class of classification mechanisms based simply on the distance, in a multidimensional feature space, between the exemplar and a prototype, which in the attractor network is the stored pattern.