Abstract
The excitatory and inhibitory frequency/intensity response areas (FRAs) and spectrotemporal receptive fields (STRFs) of posterior auditory cortical field (PAF) single neurons were investigated in barbiturate anesthetized cats. PAF neurons' pure-tone excitatory FRAs (eFRAs) exhibited a diversity of shapes, including some with very broad frequency tuning and some with multiple distinct excitatory frequency ranges (i.e., multipeaked eFRAs). Excitatory FRAs were analyzed after selectively excluding spikes on the basis of spike response times relative to stimulus onset. This analysis indicated that spikes with shorter response times were confined to narrow regions of the eFRAs, while spikes with longer response times were more broadly distributed over the eFRA. First-spike latencies in higher threshold response peaks of multipeaked eFRAs were approximately 10 ms longer, on average, than latencies in lower threshold response peaks. STRFs were constructed to examine the dynamic frequency tuning of neurons. More than half of the neurons (51%) had STRFs with "sloped" response maxima, indicating that the excitatory frequency range shifted with time. A population analysis demonstrated that the median first-spike latency varied systematically as a function of frequency with a median slope of approximately 12 ms per octave. Inhibitory frequency response areas were determined by simultaneous two-tone stimulation. As in primary auditory cortex (A1), a diversity of inhibitory band structures was observed. The largest class of neurons (25%) had an inhibitory band flanking each eFRA edge, i.e., one lower and one upper inhibitory band in a "center-surround" organization. However, in comparison to a previous report of inhibitory structure in A1 neurons, PAF exhibited a higher incidence of neurons with more complex inhibitory band structure (for example, >2 inhibitory bands). As was the case with eFRAs, spikes with longer response times contributed to the complexity of inhibitory FRAs. These data indicate that PAF neurons integrate temporally varying excitatory and inhibitory inputs from a broad spectral extent and, compared with A1, may be suited to analyzing acoustic signals of greater spectrotemporal complexity than was previously thought.
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