Contribution of spiking activity in the primary auditory cortex to detection in noise

Christison-Lagay, Kate L.; Bennur, Sharath; Cohen, Yale E.

doi:10.1152/jn.00521.2017

Cited by 36 publications

(56 citation statements)

References 117 publications

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“…A1 was further defined by its frequency-response properties (see section Auditory paradigms and stimuli) (Recanzone et al, 2000; Rauschecker and Tian, 2004; Kajikawa et al, 2005, 2011; Kusmierek and Rauschecker, 2009; Christison-Lagay et al, 2017). …”

Section: Methodsmentioning

confidence: 99%

The Contribution of Primary Auditory Cortex to Auditory Categorization in Behaving Monkeys

Christison-Lagay

Cohen

2018

Front. Neurosci.

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The specific contribution of core auditory cortex to auditory perception –such as categorization– remains controversial. To identify a contribution of the primary auditory cortex (A1) to perception, we recorded A1 activity while monkeys reported whether a temporal sequence of tone bursts was heard as having a “small” or “large” frequency difference. We found that A1 had frequency-tuned responses that habituated, independent of frequency content, as this auditory sequence unfolded over time. We also found that A1 firing rate was modulated by the monkeys’ reports of “small” and “large” frequency differences; this modulation correlated with their behavioral performance. These findings are consistent with the hypothesis that A1 contributes to the processes underlying auditory categorization.

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Section: Methodsmentioning

confidence: 99%

The Contribution of Primary Auditory Cortex to Auditory Categorization in Behaving Monkeys

Christison-Lagay

Cohen

2018

Front. Neurosci.

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“…In primates, population measures of neural function provide a better account of auditory processing in noise than individual units (Christison-Lagay, Bennur et al 2017). We therefore turned to a population decoding approach to examine the effects of noise on representations of vowel identity.…”

Section: Population Decoding Offers a Mechanism For Effects Of Coolingmentioning

confidence: 99%

“…Although many studies report invariance to noise, the improvements in stimulus representations observed in the brain are relatively small compared to large impairments in neural encoding of sounds with decreasing signal-to-noise ratio (SNR). In adverse listening conditions with low SNRs, both neural representation of target sounds and behavioral performance break down (Narayan, Best et al 2007, Schneider and Woolley 2013, Teschner, Seybold et al 2016, Christison-Lagay, Bennur et al 2017 suggesting that degradation in cortical representations may underlie difficulties hearing in noise.…”

Section: Introductionmentioning

confidence: 99%

Signal processing in auditory cortex underlies degraded speech sound discrimination in noise

Town

Wood

Bizley

2019

Preprint

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The ability to recognize sounds in noise is a key part of hearing, and the mechanisms by which the brain identifies sounds in noise are of considerable interest to scientists, clinicians and engineers. Yet we know little about the necessity of regions such as auditory cortex for hearing in noise, or how cortical processing of sounds is adversely affected by noise. Here we used reversible cortical inactivation and extracellular electrophysiology in ferrets performing a vowel discrimination task to identify and understand the causal contribution of auditory cortex to hearing in noise. Cortical inactivation by cooling impaired task performance in noisy but not clean conditions, while responses of auditory cortical neurons were less informative about vowel identity in noise. Simulations mimicking cortical inactivation indicated that effects of inactivation were related to the loss of information about sounds represented across neural populations. The addition of noise to target sounds drove spiking activity in auditory cortex and recruitment of additional neural populations that were linked to degraded behavioral performance. To suppress noise-related activity, we used continuous exposure to background noise to adapt the auditory system and recover behavioral performance in both ferrets and humans. Inactivation by cooling revealed that the benefits of continuous exposure were not cortically dependent. Together our results highlight the importance of auditory cortex in sound discrimination in noise and the underlying mechanisms through which noise-related activity and adaptation shape hearing.

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“…How and where task relevant sensory information is transformed into a decision in the brain is still largely unclear. There have been mixed reports of activity correlated to the reported decision in AC (Christison-Lagay et al 2017;Niwa et al 2012b;Tsunada et al 2016;Tsunada and Cohen 2014). This choice-related activity has been reported in some studies as early as primary auditory cortex (A1) (Christison-Lagay et al 2017;Niwa et al 2012b), with an increasingly larger proportion of neurons showing activity correlated to the decision as one progresses further along the auditory hierarchy to middle lateral (ML) and anterolateral (AL) belt areas (Niwa et al 2013;Tsunada et al 2016).…”

Section: Introductionmentioning

confidence: 99%

“…There have been mixed reports of activity correlated to the reported decision in AC (Christison-Lagay et al 2017;Niwa et al 2012b;Tsunada et al 2016;Tsunada and Cohen 2014). This choice-related activity has been reported in some studies as early as primary auditory cortex (A1) (Christison-Lagay et al 2017;Niwa et al 2012b), with an increasingly larger proportion of neurons showing activity correlated to the decision as one progresses further along the auditory hierarchy to middle lateral (ML) and anterolateral (AL) belt areas (Niwa et al 2013;Tsunada et al 2016). This suggests that sensory evidence becomes increasingly transformed to inform a task-relevant decision as the information is passed along the processing stream (Bizley and Cohen 2013;Hackett 2011;Romanski et al 1999).…”

Section: Introductionmentioning

confidence: 99%

Hierarchical effects of choice-related activity and neural encoding during feature selective attention

Mohn

Downer

O’Connor

et al. 2020

Preprint

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AbstractSelective attention is necessary to sift through, form a coherent percept of, and make behavioral decisions on the vast amount of information present in most sensory environments. How and where selective attention is employed in cortex and how this perceptual information then informs the relevant behavioral decisions is still not well understood. Studies probing selective attention and decision making in visual cortex have been enlightening as to how sensory attention might work in that modality; whether or not similar mechanisms are employed in auditory attention is not yet clear. Therefore, we trained rhesus macaques on a feature selective attention task, where they switched between reporting changes in temporal (amplitude modulation, AM) and spectral (carrier bandwidth) features of a broadband noise stimulus. We investigated how the encoding of these features by single neurons in primary (A1) and secondary (lateral belt, ML) auditory cortex were affected by the different attention conditions. We found that neurons in A1 and ML showed mixed-selectivity to the sound and task features. We found no difference in AM encoding between the attention conditions. We found that choice-related activity in both A1 and ML neurons shifts between attentional conditions. This finding suggests that choice-related activity in auditory cortex does not simply reflect motor preparation or action, and supports the relationship between reported choice-related activity and the decision and perceptual process.New & NoteworthyWe recorded from primary and secondary auditory cortex while monkeys performed a non-spatial feature attention task. Both areas exhibited rate-based choice-related activity. The manifestation of choice-related activity was attention-dependent, suggesting that choice-related activity in auditory cortex does not simply reflect arousal or motor influences, but relates to the specific perceptual choice. The lack of temporal-based choice activity is consistent with growing evidence that subcortical, but not cortical, single neurons inform decisions through temporal envelope following.

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Contribution of spiking activity in the primary auditory cortex to detection in noise

Cited by 36 publications

References 117 publications

The Contribution of Primary Auditory Cortex to Auditory Categorization in Behaving Monkeys

The Contribution of Primary Auditory Cortex to Auditory Categorization in Behaving Monkeys

Signal processing in auditory cortex underlies degraded speech sound discrimination in noise

Hierarchical effects of choice-related activity and neural encoding during feature selective attention

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