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The significance of intracellular recording in neurophysiology is emphasized in this article, with considering the functions of neurons, particularly the role of first spike latency in response to external stimuli. The study employs advanced machine learning techniques to predict first spike latency from whole cell patch recording data. Experiments were conducted on Control (Salin) and Experiment (Harmaline) groups, generating a dataset for developing predictive models. Because the dataset has a limited number of samples, we utilized models that are effective with small datasets. Among different groups of regression models (linear, ensemble, and tree models), the ensemble models, specifically the LGB method, can achieve better performance. The results demonstrate accurate prediction of first spike latency, with an average mean squared error of 0.0002 and mean absolute error of 0.01 in 10-fold cross-validation. The research suggests the potential of machine learning in forecasting the first spike latency, allowing reliable estimation without the need for extensive animal testing. This intelligent predictive system facilitates efficient analysis of first spike latency changes in both healthy and unhealthy brain cells, streamlining experimentation and providing more detailed insights into the captured signals.

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Objective. Ultrasound modulates the firing activity of retinal ganglion cells (RGCs), but the effects of lower-frequency, lower-intensity ultrasound on RGCs and underlying mechanism(s) remain poorly understood. This study aims to address these questions.Approach. Multi-electrode recordings were used in this study to record the firing sequences of RGCs in isolated mouse retinas. RGCs' background firing activities as well as their light responses were recorded with or without ultrasound stimulation. Cross-correlation analyses were performed to investigate the possible cellular/circuitry mechanism(s) underlying ultrasound modulation.Main results. It was found that ultrasound stimulation of isolated mouse retina enhanced the background activity of ON-RGCs and OFF-RGCs. In addition, background ultrasound stimulation shortened the light response latency of both ON-RGCs and OFF-RGCs, while enhancing part of the RGCs' (both ON- and OFF-subtypes) light response and decreasing that of the others. In some ON-OFF RGCs, the ON- and OFF-responses of an individual cell were oppositely modulated by the ultrasound stimulation, which suggests that ultrasound stimulation does not necessarily exert its effect directly on RGCs, but rather via its influence on other type(s) of cells. By analyzing the cross-correlation between the firing sequences of RGC pairs, it was found that concerted activity occurred during ultrasound stimulation differed from that occurred during light stimulation, in both spatial and temporal aspects. These results suggest that the cellular circuits involved in ultrasound- and light-induced concerted activities are different and glial cells may be involved in the circuit in response to ultrasound.Significance. These findings demonstrate that ultrasound affects neuronal background activity and light responsiveness, which are critical for visual information processing. These results may also imply a hitherto unrecognized role of glial cell activation in the bidirectional modulation effects of RGCs and may be critical for the nervous system.

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Ribbon-class synapses in the ear achieve analog to digital transformation of a continuously graded membrane potential to all-or-none spikes. In mammals, several auditory nerve fibres (ANFs) carry information from each inner hair cell (IHC) to the brain in parallel. Heterogeneity of transmission among synapses contributes to the diversity of ANF sound-response properties. In addition to the place code for sound frequency and the rate code for sound level, there is also a temporal code. In series with cochlear amplification and frequency tuning, neural representation of temporal cues over a broad range of sound levels enables auditory comprehension in noisy multi-speaker settings. The IHC membrane time constant introduces a low-pass filter that attenuates fluctuations of the receptor potential above 1-2 kHz. The ANF spike generator adds a high-pass filter via its depolarization-rate threshold that rejects slow changes in the postsynaptic potential and its phasic response property that ensures one spike per depolarization. Synaptic transmission involves several stochastic subcellular processes between IHC depolarization and ANF spike generation, introducing delay and jitter that limits the speed and precision of spike timing. ANFs spike at a preferred phase of periodic sounds in a process called phase-locking that is limited to frequencies below a few kilohertz by both the IHC receptor potential and the jitter in synaptic transmission. During phase-locking to periodic sounds of increasing intensity, faster and facilitated activation of synaptic transmission and spike generation may be offset by presynaptic depletion of synaptic vesicles, resulting in relatively small changes in response phase. Here we review encoding of spike-timing at cochlear ribbon synapses.

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[This corrects the article DOI: 10.3389/fnins.2020.00486.].

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This study presents a computational model to reproduce the biological dynamics of "listening to music." A biologically plausible model of periodicity pitch detection is proposed and simulated. Periodicity pitch is computed across a range of the auditory spectrum. Periodicity pitch is detected from subsets of activated auditory nerve fibers (ANFs). These activate connected model octopus cells, which trigger model neurons detecting onsets and offsets; thence model interval-tuned neurons are innervated at the right interval times; and finally, a set of common interval-detecting neurons indicate pitch. Octopus cells rhythmically spike with the pitch periodicity of the sound. Batteries of interval-tuned neurons stopwatch-like measure the inter-spike intervals of the octopus cells by coding interval durations as first spike latencies (FSLs). The FSL-triggered spikes synchronously coincide through a monolayer spiking neural network at the corresponding receiver pitch neurons.

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Based on anatomical connectivity and basic response characteristics, primate auditory cortex is divided into a central core surrounded by belt and parabelt regions. The encoding of pitch, a prototypical element of sound identity, has been studied in primary auditory cortex (A1) but little is known about how it is encoded and represented beyond A1. The caudal auditory belt and parabelt cortical fields process spatial information but also contain information on non-spatial aspects of sounds. In this study, we examined neuronal responses in these areas to pitch-varied marmoset vocalizations, to derive the consequent representation of pitch in these regions and the potential underlying mechanisms, to compare to the encoding and representation of pitch of the same sounds in A1. With respect to response patterns to the vocalizations, neurons in caudal medial belt (CM) showed similar short-latency and short-duration response patterns to A1, but caudal lateral belt (CL) neurons at the same hierarchical level and caudal parabelt (CPB) neurons at a higher hierarchical level showed delayed or much delayed response onset and prolonged response durations. With respect to encoding of pitch, neurons in all cortical fields showed sensitivity to variations in the vocalization pitch either through modulation of spike-count or of first spike-latency. The utility of the encoding mechanism differed between fields: pitch sensitivity was reliably represented by spike-count variations in A1 and CM, while first spike-latency variation was better for encoding pitch in CL and CPB. In summary, our data show that (a) the traditionally-defined belt area CM is functionally very similar to A1 with respect to the representation and encoding of complex naturalistic sounds, (b) the CL belt area, at the same hierarchical level as CM, and the CPB area, at a higher hierarchical level, have very different response patterns and appear to use different pitch-encoding mechanisms, and (c) caudal auditory fields, proposed to be specialized for encoding spatial location, can also contain robust representations of sound identity.

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The sense of hearing is the fastest of our senses and provides the first all-or-none action potential in the auditory nerve in less than four milliseconds. Short stimulus evoked latencies and their minimal variability are hallmarks of auditory processing from spiral ganglia to cortex. Here, we review how even small changes in first spike latencies (FSL) and their variability (jitter) impact auditory temporal processing. We discuss a number of mouse models with degraded FSL/jitter whose mutations occur exclusively in the central auditory system and therefore might serve as candidates to investigate the cellular mechanisms underlying auditory processing disorders (APD).

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Human temporal processing relies on bottom-up as well as top-down mechanisms. Animal models thereof, in the vast majority, are only probing the bottom-up mechanisms. I will review the vast literature underlying auditory temporal processing to elucidate some basic mechanisms that underlie the majority of temporal processing findings. Some basic findings in auditory temporal processing can all be based on mechanisms determining perstimulatory adaptation of firing rate. This is based on transmitter release mechanisms in peripheral as well as central synapses. It is surprising that the adaptation and recovery time constants that define perstimulatory firing rate adaptation are not very different between auditory periphery and auditory cortex when probed with similar stimuli. It is shown that forward masking, gap and VOT detection, and temporal modulation transfer functions are all directly related to perstimulatory adaptation, whereas stimulus-specific adaptation is at least partly dependent on it. Species differences and the fact that most of the studies reviewed were done in anesthetized animals need to be taken into account when extrapolating animal findings to human perceptual studies. In addition, the accuracy of first-spike latency plays a major role in sound localization and in the brainstem mechanisms for periodicity pitch and forms the basis for understanding evoked potential studies in humans. These mechanisms are also crucial for determining neural synchrony underlying perceptual binding and some important aspects of stream segregation.

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Sound-evoked compound action potential (CAP), which captures the synchronous activation of the auditory nerve fibers (ANFs), is commonly used to probe deafness in experimental and clinical settings. All ANFs are believed to contribute to CAP threshold and amplitude: low sound pressure levels activate the high-spontaneous rate (SR) fibers, and increasing levels gradually recruit medium- and then low-SR fibers. In this study, we quantitatively analyze the contribution of the ANFs to CAP 6 days after 30-min infusion of ouabain into the round window niche. Anatomic examination showed a progressive ablation of ANFs following increasing concentration of ouabain. CAP amplitude and threshold plotted against loss of ANFs revealed three ANF pools: 1) a highly ouabain-sensitive pool, which does not participate in either CAP threshold or amplitude, 2) a less sensitive pool, which only encoded CAP amplitude, and 3) a ouabain-resistant pool, required for CAP threshold and amplitude. Remarkably, distribution of the three pools was similar to the SR-based ANF distribution (low-, medium-, and high-SR fibers), suggesting that the low-SR fiber loss leaves the CAP unaffected. Single-unit recordings from the auditory nerve confirmed this hypothesis and further showed that it is due to the delayed and broad first spike latency distribution of low-SR fibers. In addition to unraveling the neural mechanisms that encode CAP, our computational simulation of an assembly of guinea pig ANFs generalizes and extends our experimental findings to different species of mammals. Altogether, our data demonstrate that substantial ANF loss can coexist with normal hearing threshold and even unchanged CAP amplitude.

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In this study, we adopted iso-frequency pure tone bursts to investigate the interdependent effects of sound amplitude/intensity and duration on mice inferior colliculus (IC) neuronal onset responses. On the majority of the sampled neurons (n=57, 89.1%), sound amplitude and duration had effects on the neuronal response to each other by showing complex changes of the rat-intensity function/duration selectivity types and/or best amplitudes (BAs)/durations (BDs), evaluated by spike counts. These results suggested that the balance between the excitatory and inhibitory inputs set by one acoustic parameter, amplitude or duration, affected the neuronal spike counts responses to the other. Neuronal duration selectivity types were altered easily by the low-amplitude sounds while the changes of rate-intensity function types had no obvious preferred stimulus durations. However, the first spike latencies (FSLs) of the onset response neurons were relative stable to iso-amplitude sound durations and changing systematically along with the sound levels. The superimposition of FSL and duration threshold (DT) as a function of stimulus amplitude after normalization indicated that the effects of the sound levels on FSLs are considered on DT actually.

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Hierarchical processing of sensory information occurs at multiple levels between the peripheral and central pathway. Different extents of convergence and divergence in top down and bottom up projections makes it difficult to separate the various components activated by a sensory input. In particular, hierarchical processing at sub-cortical levels is little understood. Here we have developed a method to isolate extrinsic inputs to the inferior colliculus (IC), a nucleus in the midbrain region of the auditory system, with extensive ascending and descending convergence. By applying a high concentration of divalent cations (HiDi) locally within the IC, we isolate a HiDi-sensitive from a HiDi-insensitive component of responses evoked by afferent input in brain slices and in vivo during a sound stimulus. Our results suggest that the HiDi-sensitive component is a monosynaptic input to the IC, while the HiDi-insensitive component is a local polysynaptic circuit. Monosynaptic inputs have short latencies, rapid rise times, and underlie first spike latencies. Local inputs have variable delays and evoke long-lasting excitation. In vivo, local circuits have variable onset times and temporal profiles. Our results suggest that high concentrations of divalent cations should prove to be a widely useful method of isolating extrinsic monosynaptic inputs from local circuits in vivo.

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Objective To evaluate effect of propofol on the first spike latency-amplitude curve of rat inferior colliculus neurons and to find out mechanisms that propofol leds to the disappearance of auditory nerve electrophysiological .Methods 43 healthy specefic pathogen free(SPF) grade sprague dawley(SD) rats(weighing 200-250 g) were used to established wakeful animal models by ventilating with animal respirator after infusing vecuronium .A microelectrode was penetrated in the inferior colliculus (IC) ,and then research first spike latency-amplitude(FSL-A) using a Tucker-Davis Technologies System 3(TDT3) before and after intraper-itoneal injection of propofol 100 mg/kg of each 10 minutes interval .Results CFs ranging from 2 .5 to 44 kHz .An acoustic response of neurons showed offset response ,the remaining 42 neurons showed onset response .r2 of FSL-A curve equations are significant difference between administered propofol before and after 10 minutes(P<0 .05) ,all of them are larger than 0 .95(P<0 .05) .FSL-A curve after administration can shift the lower curve and coincident with the previous administration in the same rat .Conclusion Propofol affect auditory information transmission by convert localization of FSL-A curve of rat inferior colliculus neurons ,but does not change the meaning of the information encoded .