# Multiple proximal dendrites and neural model for SP

**URL:** <https://discourse.numenta.org/t/multiple-proximal-dendrites-and-neural-model-for-sp/3381>\
**Category:** General Neuroscience\
**Tags:** spatial-pooling, proximaldendrites\
**Created:** [January 28, 2018, 2:52pm UTC](https://discourse.numenta.org/t/multiple-proximal-dendrites-and-neural-model-for-sp/3381 "2018-01-28T14:52:06Z")\
**Posts on this page:** 1\
**Showing post:** 21

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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:** [February 5, 2018, 7:50pm UTC](https://discourse.numenta.org/t/multiple-proximal-dendrites-and-neural-model-for-sp/3381/21 "2018-02-05T19:50:24Z")

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Here is a way to do that:

> [@Untangling Sequences: Behavior vs. External Causes](https://discourse.numenta.org/t/untangling-sequences-behavior-vs-external-causes/2883/4):
>
> I was reading a paper with content related to this topic. In the paper, the authors say that the separation of the layers supports prediction and feedback on the success of that prediction. This includes considerable research to support the model referenced in the paper. It goes on to build an intriguing system where the perception error and related learning is distributed along the what and where stream using local processing. Both the bottom up and top down information flow is described with…

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