{'fraction_non_alphanumeric': 0.015653220951234198, 'fraction_numerical': 0.005418422636965683, 'mean_word_length': 5.110294117647059, 'pattern_counts': {'":': 0, '<': 0, '<?xml version=': 0, '>': 0, 'https://': 0, 'lorem ipsum': 0, 'www.': 0, 'xml': 0}, 'pii_count': 0, 'substrings_counts': 0, 'word_list_counts': {'cursed_substrings.json': 0, 'profanity_word_list.json': 0, 'sexual_word_list.json': 0, 'zh_pornsignals.json': 0}}
Involvement of GABA-mediated inhibition in shaping the frequency selectivity of neurons in the inferior colliculus of the big brown bat, Eptesicus fuscus.

In central auditory signal processing, neural inhibition plays an important role in sharpening the selectivity of auditory neurons. The present study examines the involvement of GABA-mediated inhibition in shaping the frequency selectivity of neurons in the bat inferior colliculus (IC) using forward masking paradigm and bicuculline application. At each study session, we recorded two IC neurons with a pair of electrodes and reciprocally studied whether a sound that served as a probe to elicit response of one neuron might serve as a masker to affect the frequency tuning curve (FTC) of the other paired neuron. Among the 33 pairs of IC neurons recorded, this forward masking paradigm produces sharpening of the FTC in 29 (88%) pairs of IC neurons and broadening of the FTC in 4 (12%) pairs of IC neurons. The degree of sharpening of FTC decreases with recording depth as well as with the difference in the best frequency and recording depth between each pair of IC neurons. Although bicuculline application broadens the FTC of all IC neurons, forward masking still produces sharpening of the FTC in most IC neurons. These data suggest that population of IC neurons are highly correlated during frequency analysis such that frequency selectivity of some groups of IC neurons is improved through inhibition while the spectrum of frequency sensitivity of other groups of IC neurons is enhanced through excitation. Biological significance of these data relevant to acoustic signal processing is discussed.