Sentence examples for models of place from inspiring English sources

The latter method is widely used in attractor network models of place cells representing multiple environments [5, 6, 34 36].

Standard continuous attractor network models of place cells operate exclusively in the WTA mode unless the dynamical system is modified to make multi-peaked activity bumps more stable [6, 37, 38].

This tuning curve is approximately Gaussian, and setting weights as the sum of Gaussians is a common method for constructing attractor network models of place cells [5, 6, 34 36].

Since the megamap seamlessly represents much larger environments than is possible for standard attractor network models of place cells, it allows us to explore whether any interesting dynamics emerge in large environments.

The megamap model flexibly recombines place cells to extend standard attractor network models of place cells, in which the majority of cells have one place field, to larger environments in which place cells have been shown experimentally to have multiple, irregularly spaced place fields [24 26].

Further, for human adults, place recognition during navigation can be based solely on smooth variations of color and intensity in the visual snapshot, in qualitative agreement with a view-matching snapshot system but not with other models of place recognition [7].

He is really a sculptor, making models of places to produce pictures that have the presence of paintings.

In future, some of the cameras might even be able to crawl or fly to fill in further detail.Constructing detailed, real-time three-dimensional models of places from swarms of tiny cameras a virtual model of a real scene would have mind-boggling applications.

Using data from Milwaukee, Wisconsin, we test models of place-based predictor variables on street robbery and commercial robbery.

The authors found that the heat load of the environment detected by the Landsat satellite data was potentially a contributing factor to heat-related deaths during the summer of 1993, and that the thermal data used in this study could be used to develop models of place-based vulnerability.

A separate multinomial logistic regression model of place of residence at waves 2 6 on each social network was fit, adjusting for propensity score strata, study wave, and place of residence at the previous wave.