Statistical modeling of spiking activity in large scale neuronal networks

• Chronic microelectrode implants in V1 • Anesthetized, paralyzed macaque monkeys • Data from the microelectrode array was recorded by the Cerebus data acquisition system • The Cerebus system monitored each channel’s voltage for values exceeding a threshold • 1.2ms chunks of data were saved (30kHz) each time threshold was reached • Thresholds were set independently for each channel and were determined by a constant multiple of the RMS value. • Waveforms were sorted by a principal components analysis package into noise and discrete units • We hand sorted the output of the PCA sorter using custom software into cells 1 3 Statistical modeling of spiking activity in large scale neuronal networks Ryan C. Kelly2,3, Matthew A. Smith3, Robert E. Kass1,3, and Tai Sing Lee2,3 1 Department of Statistics, 2 Computer Science Department; 3 Center for the Neural Basis of Cognition, Carnegie Mellon University, Pittsburgh, PA