Integration and recovery processes contribute to the temporal selectivity of neurons in the midbrain of the northern leopard frog, Rana pipiens

Alder, Todd B.; Rose, Garrett S.

doi:10.1007/s003590000144

Cited by 52 publications

(58 citation statements)

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“…H. regilla and R. pipiens were prepared for recording following the methods of Alder and Rose (2000). Briefly, frogs were immersed in 3% urethane, and a local anesthetic (lidocaine HCl) was applied topically to the dorsal surface of the skull in which a small opening was made to expose the optic tectum.…”

Section: Methodsmentioning

confidence: 99%

“…The average PRR at this temperature is ϳ15 pulses/s for R. pipiens and 90 pulses/s in R. regilla. Acoustic stimuli were generated using Tucker Davis Technologies System II hardware and custom software (Alder and Rose, 2000). Stimuli were presented free field in an audiometric room (Alder and Rose, 2000).…”

Section: Methodsmentioning

confidence: 99%

“…Acoustic stimuli were generated using Tucker Davis Technologies System II hardware and custom software (Alder and Rose, 2000). Stimuli were presented free field in an audiometric room (Alder and Rose, 2000). The speaker was situated 0.5 m from the animal and contralateral to the recording site.…”

Section: Methodsmentioning

confidence: 99%

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Midbrain Auditory Neurons Integrate Excitation and Inhibition to Generate Duration Selectivity: AnIn VivoWhole-Cell Patch Study in Anurans

Leary

Edwards

Rose³

2008

J. Neurosci.

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Sound duration can play a pivotal role in the reproductive behavior of anuran amphibians. Here, we report the first whole-cell recordings from duration-selective neurons in the anuran torus semicircularis, in vivo. We show that most short-pass duration-selective cells exhibited short-latency inhibition and delayed excitation. The duration of the inhibition increased with tone burst duration. Hence, for long-duration tone bursts, inhibition overlapped with excitation, reducing or eliminating spikes; no postinhibitory rebound was present. Other short-pass cells, however, showed inhibition only for long-duration tone bursts. Bandpass duration selectivity also involved interplay between inhibition and excitation; inhibition negated excitation with tone bursts that exceeded the optimum duration. Additionally, however, bandpass selectivity arose from stimulus-dependent excitation; tone bursts of sufficiently long duration were required to elicit excitation. Similarly, long-pass neurons showed inhibition and duration-dependent enhancement of excitation; long-pass selectivity resulted from enhanced excitation outlasting the transient inhibition or, in some cases, excitation overriding concurrent inhibition. Last, we evaluated the stimulus specificity of duration-selective neurons to variations in pulse repetition rate. We show that (1) most neurons that exhibited long-pass selectivity for tone-burst duration nonetheless responded to short-duration pulses when repeated at particular rates, and (2) some neurons that showed selectivity for tone burst duration also showed selectivity for pulse train duration. These novel response profiles appear to result from interplay between inhibition and time-and activity-dependent changes in excitation strength. These findings are discussed in the context of prevailing models of duration selectivity and acoustic communication in anurans.

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Section: Methodsmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

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Midbrain Auditory Neurons Integrate Excitation and Inhibition to Generate Duration Selectivity: AnIn VivoWhole-Cell Patch Study in Anurans

Leary

Edwards

Rose³

2008

J. Neurosci.

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“…In bats and frogs, the auditory midbrain has been implicated in the specialized processing of vocal signals (Pollak and Bodenhamer, 1981;Capranica, 1983, 1985;Casseday et al, 1994;Dear and Suga, 1995;Mittmann and Wenstrup, 1995) as well as temporal information (for review, see Covey and Casseday, 1999) (Alder and Rose, 2000). In the bat auditory midbrain (inferior colliculus), many neurons are selectively sensitive to the frequencies of a bat's species-specific echolocation calls (Pollak and Bodenhamer, 1981).…”

Section: Introductionmentioning

confidence: 99%

Stimulus-Dependent Auditory Tuning Results in Synchronous Population Coding of Vocalizations in the Songbird Midbrain

2006

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Physiological studies in vocal animals such as songbirds indicate that vocalizations drive auditory neurons particularly well. But the neural mechanisms whereby vocalizations are encoded differently from other sounds in the auditory system are unknown. We used spectrotemporal receptive fields (STRFs) to study the neural encoding of song versus the encoding of a generic sound, modulationlimited noise, by single neurons and the neuronal population in the zebra finch auditory midbrain. The noise was designed to match song in frequency, spectrotemporal modulation boundaries, and power. STRF calculations were balanced between the two stimulus types by forcing a common stimulus subspace. We found that 91% of midbrain neurons showed significant differences in spectral and temporal tuning properties when birds heard song and when birds heard modulation-limited noise. During the processing of noise, spectrotemporal tuning was highly variable across cells. During song processing, the tuning of individual cells became more similar; frequency tuning bandwidth increased, best temporal modulation frequency increased, and spike timing became more precise. The outcome was a population response to song that encoded rapidly changing sounds with power and precision, resulting in a faithful neural representation of the temporal pattern of a song. Modeling responses to song using the tuning to modulation-limited noise showed that the population response would not encode song as precisely or robustly. We conclude that stimulus-dependent changes in auditory tuning during song processing facilitate the high-fidelity encoding of the temporal pattern of a song.

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“…In northen leopard frog (Ranapipiens), torus semicricularis units responses were divided into three major groups, phasic (19 %), phasic burst (10%) and tonic (65%) (Gooler and Feng 1992). Furthermore, two physiologically distinct classes of neurons in Rana pipiens, based on their response latencies and their selectivities to pulse repetition rates have been identified (Alder and Rose 2000). The torus semicircularis of anurans, homologue of the inferior colliculus in mammals, has been suggested to be not only a nucleus in the ascending Figure 7.…”

Section: Discussionmentioning

confidence: 99%

A miniature microdrive for recording auditory evoked potentials from awake anurans

Mohammed

Radwan²,

Walkowiak³

et al. 2014

gpb

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Abstract. Electrical activity recording from the brains of awake animals is a corner stone in the study of the neurophysiological basis of behavior. To meet this need, a microelectrode driver suitable for the animal of interest has to be developed. In the present study a miniature microdrive was developed specifically for the leopard toad, Bufo regularis, however, it can be used for other small animals. The microdrive was designed to meet the following requirements: small size, light weight, simple and easy way of attaching and removing, advancing and withdrawing of microelectrode in the animal brain without rotation, can be reused and made from inexpensive materials. To assess the performance of the developed microdrive, we recorded auditory evoked potentials from different auditory centers in the toad's brain. The potentials were obtained from mesencephalic, diencephalic and telencephalic auditory sensitive areas in response to simple and complex acoustic stimuli. The synthetic acoustical tones introduced to the toad were carrying the dominant frequencies of their mating calls.

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Integration and recovery processes contribute to the temporal selectivity of neurons in the midbrain of the northern leopard frog, Rana pipiens

Cited by 52 publications

References 0 publications

Midbrain Auditory Neurons Integrate Excitation and Inhibition to Generate Duration Selectivity: AnIn VivoWhole-Cell Patch Study in Anurans

Midbrain Auditory Neurons Integrate Excitation and Inhibition to Generate Duration Selectivity: AnIn VivoWhole-Cell Patch Study in Anurans

Stimulus-Dependent Auditory Tuning Results in Synchronous Population Coding of Vocalizations in the Songbird Midbrain

A miniature microdrive for recording auditory evoked potentials from awake anurans

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Integration and recovery processes contribute to the temporal selectivity of neurons in the midbrain of the northern leopard frog, Rana pipiens

Cited by 52 publications

References 0 publications

Midbrain Auditory Neurons Integrate Excitation and Inhibition to Generate Duration Selectivity: AnIn VivoWhole-Cell Patch Study in Anurans

Midbrain Auditory Neurons Integrate Excitation and Inhibition to Generate Duration Selectivity: AnIn VivoWhole-Cell Patch Study in Anurans

Stimulus-Dependent Auditory Tuning Results in Synchronous Population Coding of Vocalizations in the Songbird Midbrain

A miniature microdrive for recording auditory evoked potentials from awake anurans

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Product

Resources

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A miniature microdrive for recording auditory evoked potentials from awake anurans