# Modelling AI as an experiencing stream

**URL:** <https://discourse.numenta.org/t/modelling-ai-as-an-experiencing-stream/7748>\
**Category:** Lounge\
**Created:** [July 24, 2020, 12:28pm UTC](https://discourse.numenta.org/t/modelling-ai-as-an-experiencing-stream/7748 "2020-07-24T12:28:36Z")\
**Posts on this page:** 1\
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**Author:** ![Bitking](https://yyz2.discourse-cdn.com/flex030/user_avatar/discourse.numenta.org/bitking/32/3099_2.png) [@Bitking](https://discourse.numenta.org/u/Bitking)\
**Post date:** [July 30, 2020, 11:07pm UTC](https://discourse.numenta.org/t/modelling-ai-as-an-experiencing-stream/7748/14 "2020-07-30T23:07:33Z")

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The sensory streams are joined in the association maps. There the SDR’s that combines the senses can be formed.

Note that - to my way of understanding- an object is a basket of features. Both spatial and temporal.

It make a great deal of sense that this basket of features can include more than one sensory modality.

The quality processing stays in the stream where it is sensed. The micro-parsing that extracts levels of spatial and temporal information stays in the stream and presents that as the basket of features to be associated.

The counter-flowing streams act to help prime and parse the streams; a key part of prediction.

This model that is formed is the armature that is compared to the sensory stream. Any difference is novelty to trigger learning.

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