# My analysis on why Temporal Memory prediction doesn't work on sequential data

**URL:** <https://discourse.numenta.org/t/my-analysis-on-why-temporal-memory-prediction-doesnt-work-on-sequential-data/3141>\
**Category:** Numenta Theory\
**Tags:** sequence-memory\
**Created:** [December 4, 2017, 4:48pm UTC](https://discourse.numenta.org/t/my-analysis-on-why-temporal-memory-prediction-doesnt-work-on-sequential-data/3141 "2017-12-04T16:48:54Z")\
**Posts on this page:** 1\
**Showing post:** 17

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**Author:** ![Paul\_Lamb](https://yyz2.discourse-cdn.com/flex030/user_avatar/discourse.numenta.org/paul_lamb/32/2725_2.png) [@Paul\_Lamb](https://discourse.numenta.org/u/Paul_Lamb)\
**Post date:** [December 5, 2017, 4:11pm UTC](https://discourse.numenta.org/t/my-analysis-on-why-temporal-memory-prediction-doesnt-work-on-sequential-data/3141/17 "2017-12-05T16:11:08Z")

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> [@Paul\_Lamb](#):
>
> I’m thinking I do still have a bug

I found the bug. I had written a loophole where a random sampling of up to maxNewSynapseCount previously active cells (which may not include the current connected cells) could end up forming connections to the currently active cells. I believe this is also the cause for my aforementioned issue with multiple cells in the same column representing the same context.

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