Multisensory Causal Inference in the Brain

By Christoph Kayser, Ladan Shams. 2015

133 citations recorded by the source corpus.

At any given moment, our brain processes multiple inputs from its different sensory modalities (vision, hearing, touch, etc.). In deciphering this array of sensory information, the brain has to solve two problems: (1) which of the inputs originate from the same object and should be integrated and (2) for the sensations originating from the same object, how best to integrate them. Recent behavioural studies suggest that the human brain solves these problems using optimal probabilistic inference, known as Bayesian causal inference. However, how and where the underlying computations are carried out in the brain have remained unknown. By combining neuroimaging-based decoding techniques and computational modelling of behavioural data, a new study now sheds light on how multisensory causal inference maps onto specific brain areas. The results suggest that the complexity of neural computations increases along the visual hierarchy and link specific components of the causal inference process with specific visual and parietal regions.

Subfields: Experimental and Cognitive Psychology, Nutrition and Dietetics, 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 Experimental and Cognitive Psychology

  1. Brian Odegaard
  2. David R. Wozny
  3. German Ignacio Parisi
  4. Ladan Shams
  5. Stefan Wermter
  6. Pablo V. A. Barros
  7. Xun Liu
  8. Haiyan Wu

In Nutrition and Dietetics

  1. Brian Odegaard
  2. David R. Wozny
  3. Ladan Shams

In Sensory Systems

  1. Brian Odegaard
  2. German Ignacio Parisi
  3. Stefan Wermter
  4. David R. Wozny
  5. Pablo V. A. Barros
  6. Xun Liu
  7. Ladan Shams
  8. Micah M. Murray

Citations in the corpus