Skip to contentSkip to filters

We use cookies for analytics.

Topic: multisensory processing

Seminar
2 seminars
ePoster
1 ePoster

In Cognition and Neuroscience

Seminar · Computational Neuroscience

NMC4 Short Talk: Neurocomputational mechanisms of causal inference during multisensory processing in the macaque brain

Guangyao Qi · Institute of Neuroscience, Chinese Academy of Sciences

Thu, Dec 2, 2021 · 13:15 UTC

Natural perception relies inherently on inferring causal structure in the environment. However, the neural mechanisms and functional circuits that are essential for representing and updating the hidden causal structure during multisensory processing are unknown. To address this, monkeys were trained to infer the probability of a potential common source from visual and proprioceptive signals on the basis of their spatial disparity in a virtual reality system. The proprioceptive drift reported by monkeys demonstrated that they combined historical information and current multisensory signals to e

Seminar · Vision Science

Seeing with technology: Exchanging the senses with sensory substitution and augmentation

Michael Proulx · University of Bath

Thu, Sep 30, 2021 · 16:00 UTC

What is perception? Our sensory modalities transmit information about the external world into electrochemical signals that somehow give rise to our conscious experience of our environment. Normally there is too much information to be processed in any given moment, and the mechanisms of attention focus the limited resources of the mind to some information at the expense of others. My research has advanced from first examining visual perception and attention to now examine how multisensory processing contributes to perception and cognition. There are fundamental constraints on how much informati

ePoster · Neuroscience

Recurrence in temporal multisensory processing

Swathi Anil, Marcus Ghosh, Daniel Goodman · Bernstein Conference 2024

Animals continuously process information from multiple sensory modalities to assess their environment and guide their behavior. For example, a predator may rely on both visual and auditory cues to track its prey. Over time, various algorithms have been developed to describe multisensory processing, including linear and nonlinear fusion. However, these algorithms typically treat each time step independently and fail to account for temporal dependencies in these signals. To address this limitation, we introduce a novel set of multisensory tasks that systematically incorporate controlled temporal