<p>It seems like most cognitive architectures are evaluated on toy problems that do not challenge more than one sense (usually the visual one). What neuronal cognitive architectures were evaluated in the more complex case of multiple senses?</p>

CC BY-SA 3.0
2016-03-30T15:14:27.463Z
one example of multi-modal integration is that of probabilistic population codes.  see Ma,...,Pouget 2006 Bayesian inference with probabilistic population codes
honi
CC BY-SA 3.0
2016-03-30T15:15:32.203Z
also see the work of dora angelaki
honi
CC BY-SA 3.0
2016-11-22T17:18:21.967Z
EPIC and ACT-R are two architectures that have similar visual and auditory input channels. I bet they can, and have been combined, for more complex tasks.
Robin Kramer-ten Have
<cognitive-neuroscience><cognitive-modeling>
What cognitive architectures out there combine multiple sensor streams?
danijar
# What cognitive architectures out there combine multiple sensor streams?

(Asked by: username_0 on 2016-03-30)

It seems like most cognitive architectures are evaluated on toy problems that do not challenge more than one sense (usually the visual one). What neuronal cognitive architectures were evaluated in the more complex case of multiple senses?

**Tags:** cognitive-neuroscience, cognitive-modeling

> **Comments:**
> **username_1**: one example of multi-modal integration is that of probabilistic population codes.  see Ma,...,Pouget 2006 Bayesian inference with probabilistic population codes  
> **username_1**: also see the work of dora angelaki  
> **username_2**: EPIC and ACT-R are two architectures that have similar visual and auditory input channels. I bet they can, and have been combined, for more complex tasks.  

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## 0 answers

