Biology subjects

Elhilali, M.

Publications and source records attributed to Elhilali, M..

7 recordsLinked to original sources

bioRxiv2025

The shape of attention: How cognitive goals sculpt cortical representation of speech.

Perception requires more than passive sensing--it involves prioritizing the features most relevant to ongoing cognitive goals, a process guided by selective attention. A central question is whether attention operates by enhancing all features of a selected target, or by optimizing neural encoding around the specific demands of the task--i.e., is selective attention fundamentally anchored around task targets or around task goals? Here, we recorded electroencephalography (EEG) while participants performed two speech tasks--comprehension and detection--on identical auditory stimuli. Task difficulty was manipulated by introducing controlled background noise that increased cognitive demands without reducing speech intelligibility. We developed a novel EEG-based method, the Modulation Response Function (MRF), which captures cortical sensitivity to spectro-temporal features via spectrogram reconstruction. Behaviorally, comprehension performance declined with increased difficulty, with greater reliance on semantic cues, while detection performance remained near ceiling. Neurally, both envelope tracking and MRF magnitude were higher during comprehension, reflecting greater cognitive engagement. Critically, spectro-temporal tuning differed across tasks: formant-related modulations were selectively enhanced during comprehension, whereas pitch-related modulations were emphasized during detection. These findings support a discriminative model of attention, where cortical encoding is flexibly reshaped according to cognitive goals, selectively amplifying the features most relevant for successful task performance.

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bioRxiv2024

Temporal-Coherence Induces Binding in Responses to Sound Sequences in Ferret Auditory Cortex

Binding the attributes of a sensory source is necessary to perceive it as a unified entity, one that can be attended to and extracted from its surrounding scene. In auditory perception, this is the essence of the cocktail party problem in which a listener segregates one speaker from a mixture of voices, or a musical stream from simultaneous others. It is postulated that coherence of the temporal modulations of a sources features is necessary to bind them. The focus of this study is on the role of temporal-coherence in binding and segregation, and specifically as evidenced by the neural correlates of rapid plasticity that enhance cortical responses among synchronized neurons, while suppressing them among asynchronized ones. In a first experiment, we find that attention to a sound sequence rapidly binds it to other coherent sequences while suppressing nearby incoherent sequences, thus enhancing the contrast between the two groups. In a second experiment, a sequence of synchronized multi-tone complexes, embedded in a cloud of randomly dispersed background of desynchronized tones, perceptually and neurally pops-out after a fraction of a second highlighting the binding among its coherent tones against the incoherent background. These findings demonstrate the role of temporal-coherence in binding and segregation.

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bioRxiv2024

Temporal Coherence Shapes Cortical Responses to Speech Mixtures in a Ferret Cocktail Party

Segregation of complex sounds such as speech, music and animal vocalizations as they simultaneously emanate from multiple sources (referred to as the "cocktail party problem") is a remarkable ability that is common in humans and animals alike. The neural underpinnings of this process have been extensively studied behaviorally and physiologically in non-human animals primarily with simplified sounds (tones and noise sequences). In humans, segregation experiments utilizing more complex speech mixtures are common; but physiological experiments have relied on EEG/MEG/ECoG recordings that sample activity from thousands of neurons, often obscuring the detailed processes that give rise to the observed segregation. The present study combines the insights from animal single-unit physiology with segregation of speech-like mixtures. Ferrets were trained to attend to a female voice and detect a target word, both in presence or absence of a concurrent, equally salient male voice. Single neuron recordings were obtained from primary and secondary ferret auditory cortical fields, as well as frontal cortex. During task performance, representation of the female words became more enhanced relative to those of the (distractor) male in all cortical regions, especially in the higher auditory cortical field. Analysis of the temporal and spectral response characteristics during task performance reveals how speech segregation gradually emerges in the auditory cortex. A computational model evaluated on the same voice mixtures replicates and extends these results to different attentional targets (attention to female or male voices). These findings are consistent with the temporal coherence theory whereby attention to a target voice anchors neural activity in cortical networks hence binding together channels that are coherently temporally-modulated with the target, and ultimately forming a common auditory stream.

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bioRxiv2024

EEG responses to rapidly unfolding stochastic sounds reflect precision tracking

The brain is increasingly viewed as a statistical learning machine, where our sensations and decisions arise from the intricate interplay between bottom-up sensory signals and constantly changing expectations regarding the surrounding world. Which statistics does the brain track while monitoring the rapid progression of sensory information? Here, by combining EEG (three experiments N[≥]22 each) and computational modelling, we examined how the brain processes rapid and stochastic sound sequences that simulate key aspects of dynamic sensory environments. Passively listening participants were exposed to structured tone-pip arrangements that contained transitions between a range of stochastic patterns. Predictions were guided by a Bayesian predictive inference model. We demonstrate that listeners automatically track the statistics of unfolding sounds, even when these are irrelevant to behaviour. Transitions between sequence patterns drove an increase of the sustained EEG response. This was observed to a range of distributional statistics, and even in situations where behavioural detection of these transitions was at floor. These observations suggest that the modulation of the EEG sustained response reflects a universal process of belief updating within the brain. By establishing a connection between the outputs of the computational model and the observed brain responses, we demonstrate that the dynamics of these transition-related responses align with the tracking of precision - the confidence or reliability assigned to a predicted sensory signal - shedding light on the intricate interplay between the brains statistical tracking mechanisms and its response dynamics.

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bioRxiv2023

Decoding contextual influences on auditory perception from primary auditory cortex

Perception can be highly dependent on stimulus context, but whether and how sensory areas encode the context remains uncertain. We used an ambiguous auditory stimulus - a tritone pair - to investigate the neural activity associated with a preceding contextual stimulus that strongly influenced the tritone pairs perception: either as an ascending or a descending step in pitch. We recorded single-unit responses from a population of auditory cortical cells in awake ferrets listening to the tritone pairs preceded by the contextual stimulus. We find that the responses adapt locally to the contextual stimulus, consistent with human MEG recordings from the auditory cortex under the same conditions. Decoding the population responses demonstrates that cells responding to pitch-class-changes are able to predict well the context-sensitive percept of the tritone pairs. Conversely, decoding the individual pitch-class representations and taking their distance in the circular Shepard tone space predicts the opposite of the percept. The various percepts can be readily captured and explained by a neural model of cortical activity based on populations of adapting, pitch-class and pitch-class-direction cells, aligned with the neurophysiological responses. Together, these decoding and model results suggest that contextual influences on perception may well be already encoded at the level of the primary sensory cortices, reflecting basic neural response properties commonly found in these areas.

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bioRxiv2019

Neural correlates of perceptual switching while listening to bistable auditory streaming stimuli

Understanding the neural underpinning of conscious perception remains one of the primary challenges of cognitive neuroscience. Theories based mostly on studies of the visual system differ according to whether the neural activity giving rise to conscious perception occurs in modality-specific sensory cortex or in associative areas, such as the frontal and parietal cortices. Here, we search for modality-specific conscious processing in the auditory cortex using a bistable stream segregation paradigm that presents a constant stimulus without the confounding influence of physical changes to sound properties. ABA_ triplets (i.e., alternating low, A, and high, B, tones, and _ gap) with a 700 ms silent response period after every third triplet were presented repeatedly, and human participants reported nearly equivalent proportions of 1- and 2-stream percepts. The pattern of behavioral responses was consistent with previous studies of visual and auditory bistable perception. The intermittent response paradigm has the benefit of evoking spontaneous perceptual switches that can be attributed to a well-defined stimulus event, enabling precise identification of the timing of perception-related neural events with event-related potentials (ERPs). Significantly more negative ERPs were observed for 2-streams compared to 1-stream, and for switches compared to non-switches during the sustained potential (500-1000 ms post-stimulus onset). Further analyses revealed that the negativity associated with switching was independent of switch direction, suggesting that spontaneous changes in perception have a unique neural signature separate from the observation that 2-streams has more negative ERPs than 1-stream. Source analysis of the sustained potential showed activity associated with these differences originating in anterior superior temporal gyrus, indicating involvement of the ventral auditory pathway that is important for processing auditory objects.\n\nSignificance StatementWhen presented with ambiguous stimuli, the auditory system takes the available information and attempts to construct a useful percept. When multiple percepts are possible from the same stimuli, however, perception fluctuates back and forth between alternating percepts in a bistable manner. Here, we examine spontaneous switches in perception using a bistable auditory streaming paradigm with a novel intermittent stimulus paradigm, and measure sustained electrical activity in anterior portions of auditory cortex using event-related potentials. Analyses revealed enhanced sustained cortical activity when perceiving 2-streams compared to 1-stream, and when a switch occurred regardless of switch direction. These results indicate that neural responses in auditory cortex reflect both the content of perception and neural dynamics related to switches in perception.

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bioRxiv2018

Neural underpinnnings of auditory salience in natural soundscapes

Salience is the mechanism whereby attention is automatically directed towards critical stimuli. Measuring the salience of a stimulus using behavioral methods risks confounds with top-down attention, particularly in the case of natural soundscapes. A distraction paradigm is employed here to measure physiological effects of salient auditory stimuli using electroencephalography. Several such effects are presented. In particular, a stimulus entrainment response is reduced by the presentation of distractor salient sounds. A reduction in oscillatory neural responses in the gamma frequency band is also observed following salient stimuli. These measures are used to identify salient portions of the natural scene. Finally, envelope decoding methods also indicate that salient stimuli attract attention away from other, task-related sounds.

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