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. Author manuscript; available in PMC: 2011 Jun 10.
Published in final edited form as: Neuron. 2010 Jun 10;66(5):796–807. doi: 10.1016/j.neuron.2010.05.005

Table 1.

Intervals Where Category Sensitive Number of Neurons
Animals Cars
Sample Delay Sample Delay
Multi-Sensitive (Generalists) 104
 Intervals Overlap 84
1 1 1 1 13
1 1 1 0 13
1 1 0 1 8
1 0 1 1 11
0 1 1 1 19
1 0 1 0 1
0 1 0 1 19
 Intervals Don’t Overlap 20
1 0 0 1 5
0 1 1 0 15

Animal-Only Sensitive (Specialists) 63
1 0 0 0 15
0 1 0 0 39
1 1 0 0 9

Car-Only Sensitive (Specialists) 69
0 0 1 0 17
0 0 0 1 37
0 0 1 1 15

Non-Sensitive 219
0 0 0 0 219

Total 455

Table 1 groups neurons based on whether each neuron was category sensitive (see text) in the sample and/or delay intervals (t-test at p < 0.01). Each row of the table specifies whether neurons showed significance category sensitivity by category set and task interval (1 = significant for that category set/interval, 0 = non-significant for that category set/interval). For example, the first row identifies that 13 neurons were sensitive for all four tested category set/interval combinations (i.e., a 1 is shown for Animals/Sample, Animals/Delay, Cars/Sample, and Cars/Delay). The table is sub-divided to show neurons that were: category sensitive to both category distinctions in the same or different intervals, sensitive to the Animal distinction only, Car sensitive only, or non-sensitive. Multi-sensitive neurons were also distinguished based on whether neuronal selectivity for Animals and Cars overlapped (was significant in the same interval).