Abstract | ||
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Perception of the external world is based on the integration of inputs from different sensory modalities. Recent experimental findings suggest that this phenomenon is present in lower-level cortical areas at early processing stages. The mechanisms underlying these early processes and the organization of the underlying circuitries are still a matter of debate. Here, we investigate audiovisual interactions by means of a simple neural network consisting of two layers of visual and auditory neurons. We suggest that the spatial and temporal aspects of audio-visual illusions can be explained within this simple framework, based on two main assumptions: auditory and visual neurons communicate via excitatory synapses; and spatio-temporal receptive fields are different in the two modalities, auditory processing exhibiting a higher temporal resolution, while visual processing a higher spatial acuity. With these assumptions, the model is able: i) to simulate the sound-induced flash fission illusion; ii) to reproduce psychometric curves assuming a random variability in some parameters; iii) to account for other audio-visual illusions, such as the sound-induced flash fusion and the ventriloquism illusions; and iv) to predict that visual and auditory stimuli are combined optimally in multisensory integration. In sum, the proposed model provides a unifying summary of spatio-temporal audio-visual interactions, being able to both account for a wide set of empirical findings, and be a framework for future experiments. In perspective, it may be used to understand the neural basis of Bayesian audio-visual inference. |
Year | DOI | Venue |
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2014 | 10.1016/j.neuroimage.2014.02.001 | NeuroImage |
Keywords | Field | DocType |
Neural network modeling,Multisensory integration,Visual–auditory illusions,Sound-induced flash illusion,Spatial processing,Temporal processing | Receptive field,Illusion,Visual processing,Multisensory integration,Inference,Cognitive psychology,Psychology,Artificial neural network,Stimulus modality,Perception | Journal |
Volume | ISSN | Citations |
92 | 1053-8119 | 5 |
PageRank | References | Authors |
0.61 | 12 | 5 |
Name | Order | Citations | PageRank |
---|---|---|---|
Cristiano Cuppini | 1 | 55 | 8.37 |
Elisa Magosso | 2 | 75 | 11.67 |
Nadia Bolognini | 3 | 25 | 6.31 |
Giuseppe Vallar | 4 | 15 | 2.77 |
M. Ursino | 5 | 111 | 13.13 |