Distinct neuronal types contribute to hybrid temporal encoding strategies in primate auditory cortex

Studies of the encoding of sensory stimuli by the brain often consider recorded neurons as a pool of identical units. Here, we report divergence in stimulus-encoding properties between subpopulations of cortical neurons that are classified based on spike timing and waveform features. Neurons in audi...

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Vydáno v:	PLoS biology Ročník 20; číslo 5; s. e3001642
Hlavní autoři:	Liu, Xiao-Ping, Wang, Xiaoqin
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	United States Public Library of Science 25.05.2022 Public Library of Science (PLoS)
Témata:	Acoustic Stimulation - methods Action Potentials - physiology Amplitude modulation Analysis Animals Auditory cortex Auditory Cortex - physiology Bandwidths Behavior Biology and Life Sciences Bursting Callithrix Cortex (auditory) Cortex (somatosensory) Cortex (temporal) Decoding Divergence Encoding (Memory) Engineering and Technology Firing pattern Firing rate Frequency dependence Locking Marmosets Medicine and Health Sciences Neurons Neurons - physiology Physiological aspects Research and Analysis Methods Sensory stimuli Social Sciences Somatosensory cortex Spectrum allocation Spiking Stimuli Subpopulations Temporal lobe Wakefulness Waveforms United States
ISSN:	1545-7885, 1544-9173, 1545-7885
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Shrnutí:	Studies of the encoding of sensory stimuli by the brain often consider recorded neurons as a pool of identical units. Here, we report divergence in stimulus-encoding properties between subpopulations of cortical neurons that are classified based on spike timing and waveform features. Neurons in auditory cortex of the awake marmoset ( Callithrix jacchus ) encode temporal information with either stimulus-synchronized or nonsynchronized responses. When we classified single-unit recordings using either a criteria-based or an unsupervised classification method into regular-spiking, fast-spiking, and bursting units, a subset of intrinsically bursting neurons formed the most highly synchronized group, with strong phase-locking to sinusoidal amplitude modulation (SAM) that extended well above 20 Hz. In contrast with other unit types, these bursting neurons fired primarily on the rising phase of SAM or the onset of unmodulated stimuli, and preferred rapid stimulus onset rates. Such differentiating behavior has been previously reported in bursting neuron models and may reflect specializations for detection of acoustic edges. These units responded to natural stimuli (vocalizations) with brief and precise spiking at particular time points that could be decoded with high temporal stringency. Regular-spiking units better reflected the shape of slow modulations and responded more selectively to vocalizations with overall firing rate increases. Population decoding using time-binned neural activity found that decoding behavior differed substantially between regular-spiking and bursting units. A relatively small pool of bursting units was sufficient to identify the stimulus with high accuracy in a manner that relied on the temporal pattern of responses. These unit type differences may contribute to parallel and complementary neural codes.
Bibliografie:	ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 14 content type line 23 The authors have declared that no competing interests exist.
ISSN:	1545-7885 1544-9173 1545-7885
DOI:	10.1371/journal.pbio.3001642