ArticlePLoS computational biology2017
Physiological models of the lateral superior olive.
Article in PLoS computational biology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.
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Who cites it
19 citing papers in PubMed.
- Inferring synaptic transmission from the stochastic dynamics of the quantal content: An analytical approach.PLoS computational biology · 2025Article
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- Spiking Neural Networks and Mathematical Models.Advances in experimental medicine and biology · 2023Review
- A comparative study of eight human auditory models of monaural processing.Acta acustica. European Acoustics Association · 2022Article
- Kv1 channels regulate variations in spike patterning and temporal reliability in the avian cochlear nucleus angularis.Journal of neurophysiology · 2022Article
- Robustness of neuronal tuning to binaural sound localization cues against age-related loss of inhibitory synaptic inputs.PLoS computational biology · 2021Article
- Glycinergic axonal inhibition subserves acute spatial sensitivity to sudden increases in sound intensity.eLife · 2021Article
- Effects of interaural decoherence on sensitivity to interaural level differences across frequency.The Journal of the Acoustical Society of America · 2021Article
- Computational principles of neural adaptation for binaural signal integration.PLoS computational biology · 2020Article
- Neuronal population model of globular bushy cells covering unit-to-unit variability.PLoS computational biology · 2019Article
- Between-ear sound frequency disparity modulates a brain stem biomarker of binaural hearing.Journal of neurophysiology · 2019Article
- Impact of Auditory Experience on the Structural Plasticity of the AIS in the Mouse Brainstem Throughout the Lifespan.Frontiers in cellular neuroscience · 2019Article
- Across Species "Natural Ablation" Reveals the Brainstem Source of a Noninvasive Biomarker of Binaural Hearing.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2018Article
- Specific synaptic input strengths determine the computational properties of excitation-inhibition integration in a sound localization circuit.The Journal of physiology · 2018Article
- These are not the neurons you are looking for.eLife · 2018Article
- Article
- Article
- Article
- Benefits of Enhanced Phase-Locking for Binaural Coding of Amplitude-Modulated Sounds.Trends in hearingArticle
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3 authors.
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Abstract
In computational biology, modeling is a fundamental tool for formulating, analyzing and predicting complex phenomena. Most neuron models, however, are designed to reproduce certain small sets of empirical data. Hence their outcome is usually not compatible or comparable with other models or datasets, making it unclear how widely applicable such models are. In this study, we investigate these aspects of modeling, namely credibility and generalizability, with a specific focus on auditory neurons involved in the localization of sound sources. The primary cues for binaural sound localization are comprised of interaural time and level differences (ITD/ILD), which are the timing and intensity differences of the sound waves arriving at the two ears. The lateral superior olive (LSO) in the auditory brainstem is one of the locations where such acoustic information is first computed. An LSO neuron receives temporally structured excitatory and inhibitory synaptic inputs that are driven by ipsi- and contralateral sound stimuli, respectively, and changes its spike rate according to binaural acoustic differences. Here we examine seven contemporary models of LSO neurons with different levels of biophysical complexity, from predominantly functional ones ('shot-noise' models) to those with more detailed physiological components (variations of integrate-and-fire and Hodgkin-Huxley-type). These models, calibrated to reproduce known monaural and binaural characteristics of LSO, generate largely similar results to each other in simulating ITD and ILD coding. Our comparisons of physiological detail, computational efficiency, predictive performances, and further expandability of the models demonstrate (1) that the simplistic, functional LSO models are suitable for applications where low computational costs and mathematical transparency are needed, (2) that more complex models with detailed membrane potential dynamics are necessary for simulation studies where sub-neuronal nonlinear processes play important roles, and (3) that, for general purposes, intermediate models might be a reasonable compromise between simplicity and biological plausibility.
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