Forty new exemplars (four exemplars for each of ten categories) were selected from the picture database of Konkle et al. (2010).
Each is an exemplar of one of the many ways of life (dàos) who execute their particular specialties in a highly cultivated, precise, smooth, and seemingly easily executed way.
During scanning, bird exemplars from each of the three conditions (category-training, visual exposure, and no training) were presented and subjects were instructed to view the birds attentively.
The first within-subjects factor was Thai Tone; three exemplars of each of the five tone stimuli were presented in the test trials.
Visual stimuli were 16 high-resolution colour photographs (1024×768 pixels) depicting typical exemplars of each of the test and filler words.
Different exemplars from each of the following categories: mobile phones, birds, and cars were also included in the array.
Experiment 2 thus shows that with the ALOI training set, VisNet can form separate neuronal representations that respond to all exemplars of each of 8 objects seen in different view transforms and that single cells can provide perfect information from their firing rates to any exemplar about which object is being presented.
The design and apparatus of Experiment 2 were identical to those of Experiment 1, with the exception that we took four exemplars from each of the ten object categories.
The two exemplars for each of 16 object categories, and the target image, were taken from the picture database of Konkle and colleagues (Konkle, Brady, Alvarez, & Oliva, 2010; available at http://cvcl.mit.edu/MM/index.html; see Supplementary Fig. 1).
Because of limited resources we had to make a choice between sampling several stands for both management systems at a low level of individual resolution, since experimental effort is particularly large for forest tree species with a very low density, or to concentrate on an exhaustive survey of one exemplar of each system.
