2023The Journal of the Acoustical Society of AmericaRequires access

What, if anything, is coincidence detection?

Philip X. Joris, Hsin-Wei Lu, Tom P. Franken, Philip H. Smith

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Abstract

Neural delays and coincidence detection are neural operations posited as key elements in temporal processing, in the auditory system and beyond. Although longstanding physiological evidence for coincidence detectors exists at a phenomenological level, mechanistic examinations have only recently been performed. We review intracellular recordings from two cell types which are traditionally regarded as prototypes of coincidence detectors. Neurons in the medial superior olive (MSO) are sensitive to “coincidences” in action potentials from the ipsi- and contralateral ear, making the neurons sensitive to interaural temporal differences. Octopus cells in the cochlear nucleus are sensitive to “coincidences” of action potentials across inputs tuned to a wide range of frequencies. We found that in both cases, the spike output of neurons does not simply reflect coincidences of input spikes. When inputs vary in strength, their sequence of activation is an important determinant of response strength. Maximal output is not just determined by the maximal number of coincidences, but reflects temporal input structure in interaction with intrinsic (membrane) properties. These observations suggest a simpler mechanism of temporal sensitivity than traditional lag and coincidence proposals.

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Neural delays and coincidence detection are neural operations posited as key elements in temporal processing, in the auditory system and beyond. Although longstanding physiological evidence for coincidence detectors exists at a phenomenological level, mechanistic examinations have only recently been performed. We review intracellular recordings from two cell types which are traditionally regarded as prototypes of coincidence detectors. Neurons in the medial superior olive (MSO) are sensitive to “coincidences” in action potentials from the ipsi- and contralateral ear, making the neurons sensitive to interaural temporal differences. Octopus cells in the cochlear nucleus are sensitive to “coincidences” of action potentials across inputs tuned to a wide range of frequencies. We found that in both cases, the spike output of neurons does not simply reflect coincidences of input spikes. When inputs vary in strength, their sequence of activation is an important determinant of response strength. Maximal output is not just determined by the maximal number of coincidences, but reflects temporal input structure in interaction with intrinsic (membrane) properties. These observations suggest a simpler mechanism of temporal sensitivity than traditional lag and coincidence proposals.

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Available abstract

Neural delays and coincidence detection are neural operations posited as key elements in temporal processing, in the auditory system and beyond. Although longstanding physiological evidence for coincidence detectors exists at a phenomenological level, mechanistic examinations have only recently been performed. We review intracellular recordings from two cell types which are traditionally regarded as prototypes of coincidence detectors. Neurons in the medial superior olive (MSO) are sensitive to “coincidences” in action potentials from the ipsi- and contralateral ear, making the neurons sensitive to interaural temporal differences. Octopus cells in the cochlear nucleus are sensitive to “coincidences” of action potentials across inputs tuned to a wide range of frequencies. We found that in both cases, the spike output of neurons does not simply reflect coincidences of input spikes. When inputs vary in strength, their sequence of activation is an important determinant of response strength. Maximal output is not just determined by the maximal number of coincidences, but reflects temporal input structure in interaction with intrinsic (membrane) properties. These observations suggest a simpler mechanism of temporal sensitivity than traditional lag and coincidence proposals.

Key concepts: Coincidence, Coincidence detection in neurobiology, Physics, Sensitivity (control systems), Action (physics), Detector, Neuroscience, Computer science

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