Multisensory perception and integration

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 demonstrates that peri-personal space encoding adapts rapidly to sensory history, supported by psychophysical, electrophysiological, and neural network modeling evidence.

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 investigates supramodal neural patterns predicting conscious perception across sensory modalities using MEG decoding analysis.

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.

This study shows that irrelevant auditory and tactile signals, but not visual signals, modulate saccade latencies when presented with a visual target, suggesting multisensory integration affects motor control.

The paper investigates tactile-auditory integration in mouse somatosensory cortices using two-photon imaging, finding robust inhibition in S2 and suggesting a local inhibitory circuit for spectral selection of inputs.

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.

The paper uses SEEG recordings to show multisensory signals in early visual and auditory cortices during an audio-visual task, revealing cross-modal responses and frequency-specific modulations.

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 multisensory and attentional influences vary across cortical depth in sensory cortices using fMRI, finding distinct depth-dependent patterns in auditory and visual 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 investigates how reward value is integrated across sensory modalities during oculomotor planning, showing that integration depends on perceptual alignment and reward congruence.

The paper investigates how attention and interoceptive ability modulate cross-modal predictive mechanisms using heartbeat-evoked potentials (HEPs) in response to auditory stimuli.

This study investigates self-motion perception in Parkinson's disease, finding impaired visual perception and over-weighting of visual cues during integration.

The paper shows that eye movement patterns during face viewing predict individual differences in audiovisual speech perception benefits.

This study investigates whether visual cues affect visuo-tactile temporal integration using a temporal order judgment task and finds no modulation by visual form or orientation cues.

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.

This study shows that visual contextual information can reweight auditory localization cues, but improvements in sound localization only occur with fully congruent audiovisual training.

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 study shows that characteristic sounds improve visual search for relevant objects in natural scenes but do not enhance distractor salience.

The paper shows that multisensory training leads to increased beta and gamma network synchronization in prefrontal, parietal, and visual cortices, improving perceptual task efficiency.

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

The paper shows that non-veridical perceptions influence actions in healthy humans, with high-order brain processes mediating this effect, challenging assumptions about perception-action interactions.