Part of Advances in Neural Information Processing Systems 15 (NIPS 2002)
Christian K. Machens, Michael Wehr, Anthony Zador
How do cortical neurons represent the acoustic environment? This ques- tion is often addressed by probing with simple stimuli such as clicks or tone pips. Such stimuli have the advantage of yielding easily interpreted answers, but have the disadvantage that they may fail to uncover complex or higher-order neuronal response properties. Here we adopt an alternative approach, probing neuronal responses with complex acoustic stimuli, including animal vocalizations and music. We have used in vivo whole cell methods in the rat auditory cortex to record subthreshold membrane potential ﬂuctuations elicited by these stimuli. Whole cell recording reveals the total synaptic input to a neuron from all the other neurons in the circuit, instead of just its output—a sparse bi- nary spike train—as in conventional single unit physiological recordings. Whole cell recording thus provides a much richer source of information about the neuron’s response. Many neurons responded robustly and reliably to the complex stimuli in our ensemble. Here we analyze the linear component—the spectro- temporal receptive ﬁeld (STRF)—of the transformation from the sound (as represented by its time-varying spectrogram) to the neuron’s mem- brane potential. We ﬁnd that the STRF has a rich dynamical structure, including excitatory regions positioned in general accord with the predic- tion of the simple tuning curve. We also ﬁnd that in many cases, much of the neuron’s response, although deterministically related to the stimulus, cannot be predicted by the linear component, indicating the presence of as-yet-uncharacterized nonlinear response properties.