Unifying multisensory signals across time and space

By Mark T. Wallace, G. Roberson, W. Hairston, Barry E. Stein, J. Vaughan, J. Schirillo. 2004

324 citations recorded by the source corpus.

Subfields: Cognitive Neuroscience, Experimental and Cognitive Psychology, Sensory Systems

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Cognitive Neuroscience

In Experimental and Cognitive Psychology

In Sensory Systems

Citations in the corpus

Multisensory Causal Inference in the Brain (2015, background): “2) [6,17–19].”
Interactions between the spatial and temporal stimulus factors that influence multisensory integration in human performance (2012, unknown): “Despite this, while the impact of space and time on multisensory function is well established, only a few studies to date have addressed possible interactions between these two stimulus dimensions (Lewald and Guski 2003; Macaluso et al. 2004; Wallace et al. 2004).”
Biases in Visual, Auditory, and Audiovisual Perception of Space (2015, background): “These findings are quite consistent with research requiring explicit judgments of unity or discrepancy [26], indicating that sensory systems implicitly perform inference processes, and that the biases that emerge are contingent upon whether or not sensory signals were integrated or segregated.”
Causal Inference in Multisensory Perception (2007, methodology): “A recent experiment asked this question [15].”
Sensory reliability shapes perceptual inference via two mechanisms. (2015, methodology): “…only be integrated when they are close in time, space, and structure (Lee & Noppeney, 2014; Lewald & Guski, 2003; Lewis & Noppeney, 2010; Noppeney, Ostwald, & Werner, 2010; Roach, Heron, & McGraw, 2006; Rohe & Noppeney, 2015; Slutsky & Recanzone, 2001; Wallace et al., 2004; Welch & Warren, 1980).”
The effect of synesthetic associations between the visual and auditory modalities on the Colavita effect (2015, background): “The magnitude of the ventriloquist effect also depends on structural factors as it declines with increasing spatial and temporal disparity between auditory and visual stimuli (Slutsky and Recanzone 2001; Lewald and Guski 2003; Wallace et al. 2004).”
Multisensory temporal integration: Task and stimulus dependencies (2013, unknown): “The ability to integrate information to generate neural, behavioral, and perceptual gains is known to be highly dependent upon the spatiotemporal relationship of the different sensory inputs (Wallace et al. 2004).”
The Construct of the Multisensory Temporal Binding Window and its Dysregulation in Developmental Disabilities (2014, background): “Animal model studies have shown that multisensory neurons and their associated integrative properties mature over a protracted period of developmental life that extends well into “adolescence” (Wallace & Stein, 1997; Wallace, McHaffie, & Stein, 1997; Wallace, 2004a, 2004b; Wallace et al., 2006).”
Cortical Hierarchies Perform Bayesian Causal Inference in Multisensory Perception (2015, background): “For small spatial disparities, audiovisual spatial signals are integrated weighted by their relative sensory reliabilities leading to strong crossmodal spatial biases [3]; for large spatial disparities, these crossmodal biases are greatly attenuated [11,12], because the final spatial estimate relies”
Multisensory integration of speech signals: the relationship between space and time (2006, unknown): “However, many recent investigations examining much ‘simpler’ stimuli have begun to focus predominantly on the interaction between space and time (Slutsky and Recanzone 2001; Lewald and Guski 2003, 2004; Wallace et al. 2004).”
Bayesian Inference Explains Perception of Unity and Ventriloquism Aftereffect: Identification of Common Sources of Audiovisual Stimuli (2007, methodology): “On the contrary, when it was not judged, the bias was rather negative, and the auditory localization was biased opposite to the visual stimulus (Wallace et al., 2004).”
Distinct Computational Principles Govern Multisensory Integration in Primary Sensory and Association Cortices. (2016, unknown): “Current Biology 26, 509 disparity) [4, 10, 11].”
A Neural Network Model of Ventriloquism Effect and Aftereffect (2012, unknown): “Values predicted by the model are within the range of behavioral data [2,6,8], as shown in Fig.”