Responses of Auditory Cortical Neurons to Stimuli of Changing Frequency

Whitfield, I. C.; Evans, E. F.

doi:10.1152/jn.1965.28.4.655

Cited by 334 publications

(128 citation statements)

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“…In A1 of anesthetized rats values of maxF have typically fallen below 18 Hz for sAM/sFM and trains of tones or FM sweeps (Creutzfeldt et al, 1980;Gaese et al, 1995;Kilgard et al, 1999;Orduna et al, 2001). In A1 of awake animals, synchronization to click trains have been reported to reach 100 Hz or higher in some studies (de Ribaupierre et al, 1972;Goldstein et al, 1959;Lu et al, 2001;Steinschneider et al, 1998), whereas in other studies, maximum synchronization for sFM/sAM was less than 20 Hz (Bieser et al, 1996;Liang et al, 2002;Schulze et al, 1999;Whitfield et al, 1965). In general, it appears that mean maxF for CM neurons in anesthetized marmosets is comparable to that observed in A1 of several studies.…”

Section: Malone Et Al (2007) Examined Responses To Sam Tones At Modulmentioning

confidence: 98%

Coding of FM sweep trains and twitter calls in area CM of marmoset auditory cortex

et al. 2008

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Section: Malone Et Al (2007) Examined Responses To Sam Tones At Modulmentioning

confidence: 98%

Coding of FM sweep trains and twitter calls in area CM of marmoset auditory cortex

et al. 2008

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“…In humans, measures of the frequency following response that reproduce low frequency tones (Moushegian et al, 1973) as well as psychoacoustic studies (Javel and Mott, 1988) suggest a sharp decline in phase locking in the ascending auditory pathway, beginning at about 1 kHz. In the real world, cortical neurons are rarely activated by tones, and when exposed to tones, the tone frequency is changing (Whitfield and Evans, 1965). The general consensus is that although the auditory cortex tends to be tonotopically organized, it also processes a variety of other aspects of sound such as its source in space (Brugge and Merzenich, 1973;Palmer, 1995).…”

Section: Frequency Mapping In the Auditory Systemmentioning

confidence: 99%

Auditory-evoked potentials to frequency increase and decrease of high- and low-frequency tones

Pratt

Starr

Michalewski

et al. 2009

Clinical Neurophysiology

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a b s t r a c tObjective: To define cortical brain responses to large and small frequency changes (increase and decrease) of high-and low-frequency tones. Methods: Event-Related Potentials (ERPs) were recorded in response to a 10% or a 50% frequency increase from 250 or 4000 Hz tones that were approximately 3 s in duration and presented at 500-ms intervals. Frequency increase was followed after 1 s by a decrease back to base frequency. Frequency changes occurred at least 1 s before or after tone onset or offset, respectively. Subjects were not attending to the stimuli. Latency, amplitude and source current density estimates of ERPs were compared across frequency changes. Results: All frequency changes evoked components P 50 , N 100 , and P 200 . N 100 and P 200 had double peaks at bilateral and right temporal sites, respectively. These components were followed by a slow negativity (SN). The constituents of N 100 were predominantly localized to temporo-parietal auditory areas. The potentials and their intracranial distributions were affected by both base frequency (larger potentials to low frequency) and direction of change (larger potentials to increase than decrease), as well as by change magnitude (larger potentials to larger change). The differences between frequency increase and decrease depended on base frequency (smaller difference to high frequency) and were localized to frontal areas. Conclusions: Brain activity varies according to frequency change direction and magnitude as well as base frequency. Significance: The effects of base frequency and direction of change may reflect brain networks involved in more complex processing such as speech that are differentially sensitive to frequency modulations of high (consonant discrimination) and low (vowels and prosody) frequencies.

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“…Neurons in the inferior colliculus of little brown bats are selective for FM sweep direction (rising or falling frequencies) [15,16]. Direction selectivity for FM tones is also present in the cat's inferior colliculus [17] and auditory cortex [18]. Sound localization based on intra-aural time disparities is another prominent example of implicit relative timing.…”

Section: Implicit Computations Of Relative Timingmentioning

confidence: 99%

Relative timing: from behaviour to neurons

Aghdaee

Battelli

Assad

2014

Phil. Trans. R. Soc. B

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Processing of temporal information is critical to behaviour. Here, we review the phenomenology and mechanism of relative timing , ordinal comparisons between the timing of occurrence of events. Relative timing can be an implicit component of particular brain computations or can be an explicit, conscious judgement. Psychophysical measurements of explicit relative timing have revealed clues about the interaction of sensory signals in the brain as well as in the influence of internal states, such as attention, on those interactions. Evidence from human neurophysiological and functional imaging studies, neuropsychological examination in brain-lesioned patients, and temporary disruptive interventions such as transcranial magnetic stimulation (TMS), point to a role of the parietal cortex in relative timing. Relative timing has traditionally been modelled as a ‘race’ between competing neural signals. We propose an updated race process based on the integration of sensory evidence towards a decision threshold rather than simple signal propagation . The model suggests a general approach for identifying brain regions involved in relative timing, based on looking for trial-by-trial correlations between neural activity and temporal order judgements (TOJs). Finally, we show how the paradigm can be used to reveal signals related to TOJs in parietal cortex of monkeys trained in a TOJ task.

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Responses of Auditory Cortical Neurons to Stimuli of Changing Frequency

Cited by 334 publications

References 0 publications

Coding of FM sweep trains and twitter calls in area CM of marmoset auditory cortex

Coding of FM sweep trains and twitter calls in area CM of marmoset auditory cortex

Auditory-evoked potentials to frequency increase and decrease of high- and low-frequency tones

Relative timing: from behaviour to neurons

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