Multisensory perception and integration

This study uses a dynamic encoding model to uncover neural mechanisms of multisensory correlation computation in the human brain, showing strong fits in temporo-parietal cortices during causal inference tasks.

The paper shows that supragranular layers of the mouse auditory cortex respond to visual stimuli, with hyperpolarization and multisensory responses, indicating visual influence on auditory processing.

This paper proposes a spiking neural circuit model that explains the emergence of congruent and opposite neurons in multi-sensory integration and suggests it may be a canonical circuit in cortical areas.

The paper investigates how delta oscillations in the left frontal motor cortex align with prosodic features in multimodal speech perception, showing their role in temporal integration of auditory and visual signals.

The paper shows that temporal patterns learned in one sensory modality can be transferred to another, with distinct neural mechanisms observed in EEG responses.

The paper shows cultural differences in how early sensory areas process congruent vs. incongruent audiovisual emotion expressions during perception tasks.

This study examines the role of left pSTS in audiovisual speech integration by assessing McGurk effect and other AV effects in patients with left pSTS or frontal lobe lesions over two years.

The paper investigates how pre-stimulus EEG alpha power and frequency predict temporal sensitivity in audiovisual discrimination tasks using above-threshold stimuli.

This study compares the phenomenological similarities between induced and naturally occurring grapheme-colour synaesthesia through qualitative analysis of interviews.

This study shows that visuospatial attention influences auditory processing by enhancing neural responses to sounds associated with specific visual stimuli.

The paper investigates eye movement-related eardrum oscillations (EMREOs) and finds they carry information about eye displacement and position, suggesting they may help align auditory and visual spatial cues.

This study investigates the neurophysiological basis of short- and long-term ventriloquism aftereffects using EEG recordings, finding common and distinct neural correlates.

The paper uses the CIMS model to explain the relationship between the McGurk effect and everyday speech perception, showing stimulus-level correlations and observer-level discrepancies through causal inference and sensory encoding.

The paper shows that subcortical circuits mediate crossmodal communication between primary sensory cortical areas in mice by linking somatosensory cortex to auditory cortex via the midbrain and thalamus.

The paper investigates brain regions representing auditory and visual speech, finding distinct networks for each modality with partial overlap in specific temporal and frontal regions.

The paper examines how audiovisual speech integration varies with listening conditions, finding enhanced phonetic-level integration in noisy environments.

The paper links individual variability in perception to neural dynamics by analyzing EEG data and proposing a biophysical model of brain network interactions.

The paper investigates how visual speech improves the perception of noisy auditory speech by analyzing brain activity in the superior temporal cortex using fMRI.

This study investigates spatial hearing re-learning using virtual reality, finding that active reaching improves sound localisation more than naming, with head movements playing a key role in this improvement.

This study investigates auditory-vestibulomotor integration in the early blind using fMRI and motion capture, showing preserved circuitry and its correlation with physical activity.

The paper tests two models of spatiotemporal interference in the Kappa effect using Bayesian models on logarithmic scales, finding that slow speeds and Weber-Fechner law explain the deceleration tendency.

The paper develops a model of stabilized neoHebbian learning to explain how visual input guides the formation and maintenance of spatially aligned auditory maps in the colliculus.

This study shows humans can learn to integrate artificial tactile information with visual stimuli using Bayesian models, improving discrimination and confidence over time.

This study investigates how the brain represents stimulus presence and modal identity using neural recordings from non-human primates, finding distinct spatiotemporal dynamics in S1 and PMv cortices.

The paper investigates how face and voice gender perception involves multimodal integration through top-down influences and multiple feedback pathways using behavioral and brain imaging techniques.

The paper shows that visual landmarks recalibrate auditory spatial perception during eye movements, even when head position is stable.

The paper introduces a model where congruent and opposite neurons emerge through Hebbian and anti-Hebbian learning rules, reproducing experimentally observed tuning properties in multisensory integration.

The paper shows that congenital visual loss leads to altered cross-modal temporal perception biases, suggesting these biases develop during an early sensitive period.

The paper investigates how task relevance and perceptual load affect cross-modal semantic congruence effects on spatial attention, finding that congruence only speeds visual search under specific conditions.

This paper introduces a network model that learns opposite neurons using Hebbian and Anti-Hebbian rules, explaining their formation and role in multisensory integration.