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Fig. 19.1. Learning acquisition in the spatial reference memory version of a water maze test of mixed background C3B6 mice in two different animal colonies. Mice in the colony A were kept in a quiet room with appropriate for behavioral experiments husbandry practices, while the colony B had increased noise level and sub-optimal for behavioral studies conditions. The mice trained in the colony A showed a significant improvement in finding a hidden platform location during training (their search path was on average about 5 m shorter at the end of training as compared to at the beginning of training). On the other hand, the mice in colony B showed no improvement (the rate of improvement between day 1 and day 5 was about 1 m). See text for further details. Fig. 19.1. Learning acquisition in the spatial reference memory version of a water maze test of mixed background C3B6 mice in two different animal colonies. Mice in the colony A were kept in a quiet room with appropriate for behavioral experiments husbandry practices, while the colony B had increased noise level and sub-optimal for behavioral studies conditions. The mice trained in the colony A showed a significant improvement in finding a hidden platform location during training (their search path was on average about 5 m shorter at the end of training as compared to at the beginning of training). On the other hand, the mice in colony B showed no improvement (the rate of improvement between day 1 and day 5 was about 1 m). See text for further details.
For these reasons we turned first to a version of seriation that had no specific spatial task requirement only a search one. Using computer driven touch screens, we displayed a variety of icons varying in size in random linear arrays, and required that subjects touch each one once only, according to a sequential rule such as biggest to smallest. The randomized arrays ensured that there was no correlation between the way the sizes appeared, and (e.g.) the monotonic search path that had to be complied with (see Figure 10.5a). In this way, we have been able to assess size seriation, considered as an extended serial search task without manipulation requirements and spatial confounds. [Pg.265]

Search paths for children aged between 3 and 4 years as a function of the number of icons to be touched. [Pg.271]

AUTOEXEC. BAT Used to run particular programs during startup. Also declares variables (such as search paths). [Pg.557]

Figure 3. GSA search path for response surface in Figure 2. Figure 3. GSA search path for response surface in Figure 2.
More detailed installation instructions can be found in the INSTALL file in the distribution, as well as on the website. If a nonstandard location is installed, add the directory containing the executables to the shell s search path. [Pg.532]

Running the Perl programs. Although RNAalifold itself is installed in /usr/local/bin by default, the Perl scripts are installed to /usr/local/ share/ViennaRNA/bin. This location is usually not in the search PATH of the shell. To avoid typing long pathnames such as /usr/local/share/ ViennaRNA/bin/colorrna.pl the user can either copy all files to a directory, which is included in the PATH, e.g. ... [Pg.542]

Marlin, Y. C., Kutter, E., and Austel, V., Modern Drug Re.search. Paths to Better and Safer Drugs (Medicinal Research Series, Vol. 12), Marcel Dekker, New York, 1989... [Pg.184]

Figure 4.1 Response versus factors surface). By using search methods, plot In the case of response surface the response is measured along a methods (RSMs), the response is search path, here along a simplex described by a mathematical model path (cf. "Analytical Performance dotted contour lines of the response Characteristics" Section). Figure 4.1 Response versus factors surface). By using search methods, plot In the case of response surface the response is measured along a methods (RSMs), the response is search path, here along a simplex described by a mathematical model path (cf. "Analytical Performance dotted contour lines of the response Characteristics" Section).
Answering these questions calls for maintaining a richer and better organized base of information about the search paths than that provided by the PSG and its heuristic value assignments to the nodes. [Pg.156]

Select Translate =>Macro Search Path=>Browse to I xilinx tutoriakcores, and click OK ... [Pg.17]


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See also in sourсe #XX -- [ Pg.31 ]




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