The stimuli were generated digitally (200 kHz sampling rate, 24 bit D/A) by the RX6 Multi Function Processor (Tucker Davis Technology Inc., FL). The sound stimuli were presented on a calibrated free-field speaker (Reveal 501A, Tannoy, Scotland, UK) located 50 cm directly in front of the animal’s head. The stimuli were tone bursts (100 ms duration, 2 ms cosine rise/fall). In total, 180 different pure-tone stimuli were used (30 frequencies from 100 Hz to 20 kHz equally spaced logarithmically, each presented at six equally spaced intensity levels from 52–87 dB). We presented these stimuli in pseudorandom order with an interstimulus interval of 1 s. Each stimulus was presented www.selleckchem.com/products/Fulvestrant.html 60 times to monkey

M and 40 times to monkey B. The auditory evoked potential from each channel of the μECoG array was band-passed between 2 and 500 Hz, digitally sampled with a sampling rate of 1500 Hz, and stored on hard-disk drives. For recording spontaneous neural activity, no auditory stimulus was presented, and the monkey’s ears were covered by an ear muff (premium ear muff 1440, 3M Inc., MN) to minimize acoustic stimulation from noise. We also monitored and video-recorded the monkey’s behavior. The monkeys mostly sat quietly and never vocalized. We excluded epochs of the recording during which the monkey moved suddenly or there was any substantial noise. The total duration of spontaneous-activity recording included

in the analyses was 49 min for monkey M and 61 min for monkey B). Matlab (The Mathworks Inc., MA) was used for offline analyses of the field potential data. Since there BMN673 was little significant auditory evoked power above 250 Hz, we low-pass filtered and resampled the data at 500 Hz to speed up the calculations and reduce the amount of memory necessary for the analysis. The field potential data from each site was

re-referenced by subtracting the average of all sites within the same array (Kellis et al., 2010). For the analysis of frequency tuning, the field potential was band-pass filtered in the following conventionally defined frequency ranges: theta (4–8 Hz), alpha (8–13 Hz), beta (13–30 Hz), low gamma (30–60 Hz), and high gamma (60–200 Hz) (Leopold et al., 2003 and Edwards et al., 2005). We filtered the field potential with a butterworth filter. We achieved a zero-phase too shift by processing the data in both forward and reverse direction (“filtfilt” function in Matlab). We then computed power in each frequency band in time windows of 150 ms. The power was computed by squaring band-passed voltage values at each point in time and averaging them for all the points in the 150 ms time window (Figure 2B). To judge whether the power of the evoked potential from each site significantly discriminated the frequency of the stimulus, we used a two-way ANOVA where the two independent variables were the frequency and intensity of the tone stimulus.