Pulse Rise Time But Not Duty Cycle Affects the Temporal Selectivity of Neurons in the Anuran Midbrain That Prefer Slow AM Rates

Edwards, Christofer J.; Alder, Todd B.; Rose, Garrett S.

doi:10.1152/jn.00797.2004

Cited by 9 publications

(9 citation statements)

References 33 publications

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“…best pulse repetition rate) of such units were shifted in H. versicolor relative to other species. In fact, interspecific differences in the sensitivities/selectivities of units to signal temporal features are known in the torus semicircularis and elsewhere in the auditory system (Edwards et al, 2005;Rose and Gooler, 2007).…”

Section: Discussionmentioning

confidence: 99%

“…We captured amplexed, gravid females of Hyla versicolor Le Conte 1825 during evenings at a pond within the Blue Mountain Reservation (Peekskill, NY, USA) during May and June of 2004, 2005and 2009. After separation from their mates, the females were placed in plastic containers, returned to our laboratory (Pace University, Pleasantville, NY, USA) and held until testing (usually the next day) either in an ice-filled cooler or refrigerator in order to postpone oviposition.…”

Section: General Proceduresmentioning

confidence: 99%

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Effect of anomalous pulse timing on call discrimination by females of the gray treefrog (Hyla versicolor): behavioral correlates of neurobiology

Schwartz

Huth

Hunce

et al. 2010

Journal of Experimental Biology

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SUMMARYResearch has demonstrated that certain midbrain neurons of anurans 'count' interpulse intervals (IPIs). Some neurons fire after exposure to fewer intervals than do others. Counting can be reset to zero if an IPI falls outside the cell's tolerance range. We tested female gray treefrogs for behavioral correlates of these neural response patterns using phonotaxis tests in order to gain a better understanding of the mechanistic bases of female responses to calls. For example, previous work demonstrated females often prefer longer to shorter pulsed advertisement calls, even when the former occur at lower rates. Call attractiveness can also be reduced when pulse duration and timing have been manipulated experimentally or disrupted by acoustic interference. In this study, female responses were consistent with neural data, emphasizing the importance of IPIs. Females discriminated in favor of calls with normal interpulse timing relative to those in which a single IPI was too long or too short. Our data suggest that neural resetting of interval counting by inappropriate intervals may more strongly influence females than reduced firing in response to such intervals on an individual basis. Data also suggest a transition point between 125ms and 175ms at which an interval between pulse strings is treated as an interval between calls.

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Section: Discussionmentioning

confidence: 99%

Section: General Proceduresmentioning

confidence: 99%

Effect of anomalous pulse timing on call discrimination by females of the gray treefrog (Hyla versicolor): behavioral correlates of neurobiology

Schwartz

Huth

Hunce

et al. 2010

Journal of Experimental Biology

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show abstract

“…However, the number of samples required to attain a fixed level of accuracy varies with the variances of the conductances and the realistic values of σ will depend on the application. Our study is motivated primarily by the interest in auditory processing in the anuran midbrain (Edwards et al 2005Leary et al 2008). Levels of σ are expected to be much lower there than the cortical estimates of Rudolph et al (2004 since there is much less spontaneous activity and synapses in general are more reliable.…”

Section: Discussionmentioning

confidence: 99%

“…As a result, we expect that 50 samples should provide an adequate level of accuracy, which corresponds to 50 sec of recording time at a rate of 1 stimulus per second. Recordings of that duration are routinely obtained (Edwards et al 2005Leary et al 2008).…”

Section: Discussionmentioning

confidence: 99%

Estimating three synaptic conductances in a stochastic neural model

Odom

Borisyuk

2012

J Comput Neurosci

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We present a method for the reconstruction of three stimulus-evoked time-varying synaptic input conductances from voltage recordings. Our approach is based on exploiting the stochastic nature of synaptic conductances and membrane voltage. Starting with the assumption that the variances of the conductances are known, we use a stochastic differential equation to model dynamics of membrane potential and derive equations for first and second moments that can be solved to find conductances. We successfully apply the new reconstruction method to simulated data. We also explore the robustness of the method as the assumptions of the underlying model are relaxed. We vary the noise levels, the reversal potentials, the number of stimulus repetitions, and the accuracy of conductance variance estimation to quantify the robustness of reconstruction. These studies pave the way for the application of the method to experimental data.

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“…Extracellular recordings have shown that PRR selectivity in long-interval neurons is governed by the interpulse interval not the dimension of the silent gap between successive sound pulses (Alder and Rose 2000;Edwards et al 2005). Accordingly, for neurons that showed depolarization that preceded hyperpolarization (Fig.…”

Section: Long-interval Selectivity and Response Profiles Are Largely mentioning

confidence: 95%

Mechanisms of Long-Interval Selectivity in Midbrain Auditory Neurons: Roles of Excitation, Inhibition, and Plasticity

Edwards¹,

Leary²,

Rose³

2008

Journal of Neurophysiology

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Edwards CJ, Leary CJ, Rose GJ. Mechanisms of long-interval selectivity in midbrain auditory neurons: roles of excitation, inhibition, and plasticity. J Neurophysiol 100: 3407-3416, 2008. First published October 22, 2008 doi:10.1152/jn.90921.2008. Stereotyped intervals between successive sound pulses characterize the acoustic signals of anurans and other organisms and provide critical information to receivers. One class of midbrain neuron responds selectively when pulses are repeated at slow rates (long intervals). To examine the mechanisms that underlie long-interval selectivity, we made whole cell recordings, in vivo, from neurons in the anuran inferior colliculus (anuran IC). In most cases, long-pass interval selectivity appeared to arise from interplay between excitation and inhibition; in ϳ25% of these cases, the delayed inhibition to a pulse overlapped with the excitation to the following pulse at fast pulse repetition rates (PRRs), resulting in a phasic "onset" response. In the remaining cases, inhibition appeared to precede excitation. These neurons did not respond to fast PRRs apparently because delayed excitation to a pulse overlapped with the inhibition to the following pulse. These results suggest that the relative timing of inhibition and excitation govern differences in the response properties of these two cell types. Loading cells with cesium increased their responses to fast AM rates, supporting a role for inhibition in long-interval selectivity. Three cells showed little or no evidence of inhibition and exhibited strong depression of excitation. These findings are discussed in the context of current models for long-pass interval selectivity.

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Pulse Rise Time But Not Duty Cycle Affects the Temporal Selectivity of Neurons in the Anuran Midbrain That Prefer Slow AM Rates

Cited by 9 publications

References 33 publications

Effect of anomalous pulse timing on call discrimination by females of the gray treefrog (Hyla versicolor): behavioral correlates of neurobiology

Effect of anomalous pulse timing on call discrimination by females of the gray treefrog (Hyla versicolor): behavioral correlates of neurobiology

Estimating three synaptic conductances in a stochastic neural model

Mechanisms of Long-Interval Selectivity in Midbrain Auditory Neurons: Roles of Excitation, Inhibition, and Plasticity

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