Neuronal coding of multiscale temporal features in communication sequences within the bat auditory cortex

García‐Rosales, Francisco; Beetz, M. Jerome; Cabral‐Calderín, Yuranny; Kössl, Manfred; Jc, Hechavarria

doi:10.1038/s42003-018-0205-5

Cited by 38 publications

(46 citation statements)

References 75 publications

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“…Longer‐lasting, broader sPSTHs rendered broader autocorrelation curves for the FAF example (Figure f). In the autocorrelograms, we measured the HWHH (grey horizontal line in Figure f) as an indicator of response duration or temporal precision, as reported in previous studies (Garcia‐Rosales, Beetz, Cabral‐Calderin, Kossl, & Hechavarria, ; Kayser, Logothetis, & Panzeri, ). The HWHH of the example FAF unit shown in Figure f was 98.7 ms, more than double than that of the AC unit represented in the same figure (11.9 ms).…”

Section: Resultsmentioning

confidence: 99%

Modified synaptic dynamics predict neural activity patterns in an auditory field within the frontal cortex

López‐Jury

Mannel

García‐Rosales

et al. 2019

Eur J of Neuroscience

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Frontal areas of the mammalian cortex are thought to be important for cognitive control and complex behaviour. These areas have been studied mostly in humans, non‐human primates and rodents. In this article, we present a quantitative characterization of response properties of a frontal auditory area responsive to sound in the brain of Carollia perspicillata, the frontal auditory field (FAF). Bats are highly vocal animals, and they constitute an important experimental model for studying the auditory system. We combined electrophysiology experiments and computational simulations to compare the response properties of auditory neurons found in the bat FAF and auditory cortex (AC) to simple sounds (pure tones). Anatomical studies have shown that the latter provides feedforward inputs to the former. Our results show that bat FAF neurons are responsive to sounds, and however, when compared to AC neurons, they presented sparser, less precise spiking and longer‐lasting responses. Based on the results of an integrate‐and‐fire neuronal model, we suggest that slow, subthreshold, synaptic dynamics can account for the activity pattern of neurons in the FAF. These properties reflect the general function of the frontal cortex and likely result from its connections with multiple brain regions, including cortico‐cortical projections from the AC to the FAF.

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Section: Resultsmentioning

confidence: 99%

Modified synaptic dynamics predict neural activity patterns in an auditory field within the frontal cortex

López‐Jury

Mannel

García‐Rosales

et al. 2019

Eur J of Neuroscience

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“…The time period after vocal production must be examined carefully, as the calls produced could differ in their acoustic attributes (i.e., frequency composition and duration, among others), which could lead to differences in call-evoked neural responses. In different sensory cortices, low frequencies such as theta and alpha are known to modulate sensory processing and enable sensory selection [29,73,74]. Unlike sensory cortices, low-frequency oscillations in frontal areas are less understood in terms of sensory processing.…”

Section: Theta Oscillations For Inter-areal Coupling In the Fronto-stmentioning

confidence: 99%

Neural oscillations in the fronto-striatal network predict vocal output in bats

2020

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The ability to vocalize is ubiquitous in vertebrates, but neural networks underlying vocal control remain poorly understood. Here, we performed simultaneous neuronal recordings in the frontal cortex and dorsal striatum (caudate nucleus, CN) during the production of echolocation pulses and communication calls in bats. This approach allowed us to assess the general aspects underlying vocal production in mammals and the unique evolutionary adaptations of bat echolocation. Our data indicate that before vocalization, a distinctive change in highgamma and beta oscillations (50-80 Hz and 12-30 Hz, respectively) takes place in the bat frontal cortex and dorsal striatum. Such precise fine-tuning of neural oscillations could allow animals to selectively activate motor programs required for the production of either echolocation or communication vocalizations. Moreover, the functional coupling between frontal and striatal areas, occurring in the theta oscillatory band (4-8 Hz), differs markedly at the millisecond level, depending on whether the animals are in a navigational mode (that is, emitting echolocation pulses) or in a social communication mode (emitting communication calls). Overall, this study indicates that fronto-striatal oscillations could provide a neural correlate for vocal control in bats.

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“…In the autocorrelograms, we measured the half-width half-height (HWHH, gray horizontal line in Fig. 1F) as an indicator of response duration or temporal precision, as reported in previous studies (Kayser et al , 2010; Garcia-Rosales et al , 2018). The HWHH of the example FAF unit shown in Fig.…”

Section: Resultsmentioning

confidence: 99%

Precision of auditory responses deteriorates on the way to frontal cortical areas

López‐Jury

Mannel

García‐Rosales

et al. 2019

Preprint

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Frontal areas of the mammalian cortex are thought to be important for cognitive control and complex behaviour. These areas have been studied mostly in humans, non-human primates and rodents. In this article, we present a quantitative characterization of response properties of a frontal auditory area responsive to sound in the bat brain, the frontal auditory field (FAF).Bats are highly vocal animals and they constitute an important experimental model for studying the auditory system. At present, little is known about neuronal sound processing in the bat FAF. We combined electrophysiology experiments and computational simulations to compare the response properties of auditory neurons found in the bat FAF and auditory cortex (AC) to simple sounds (pure tones). Anatomical studies have shown that the latter provide feedforward inputs to the former. Our results show that bat FAF neurons are responsive to sounds, however, when compared to AC neurons, they presented sparser, less precise spiking and longer-lasting responses. Based on the results of an integrate-and-fire neuronal model, we speculate that slow, low-threshold, synaptic dynamics could contribute to the changes in activity pattern that occur as information travels through cortico-cortical projections from the AC to the FAF.

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Neuronal coding of multiscale temporal features in communication sequences within the bat auditory cortex

Cited by 38 publications

References 75 publications

Modified synaptic dynamics predict neural activity patterns in an auditory field within the frontal cortex

Modified synaptic dynamics predict neural activity patterns in an auditory field within the frontal cortex

Neural oscillations in the fronto-striatal network predict vocal output in bats

Precision of auditory responses deteriorates on the way to frontal cortical areas

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