# Sequence in temporal memory

**URL:** <https://discourse.numenta.org/t/sequence-in-temporal-memory/6868>\
**Category:** Applications\
**Created:** [December 2, 2019, 7:14am UTC](https://discourse.numenta.org/t/sequence-in-temporal-memory/6868 "2019-12-02T07:14:13Z")\
**Posts on this page:** 1\
**Showing post:** 7

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**Author:** ![rhyolight](https://yyz2.discourse-cdn.com/flex030/user_avatar/discourse.numenta.org/rhyolight/32/3922_2.png) [@rhyolight](https://discourse.numenta.org/u/rhyolight)\
**Post date:** [December 2, 2019, 5:55pm UTC](https://discourse.numenta.org/t/sequence-in-temporal-memory/6868/7 "2019-12-02T17:55:35Z")

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In case anyone missed it, we talked about HTM sequence capacity in the [Neuron Paper](https://www.frontiersin.org/articles/10.3389/fncir.2016.00023/full).

> [@Estimate the capacity of an HTM model](https://discourse.numenta.org/t/estimate-the-capacity-of-an-htm-model/2398):
>
> I am trying to estimate (even if it is pessimistic) the capacity of a single-layer htm model analytically. I think it depends on several characteristics of the model like the number of columns, number of cells per column and the sparsity. I have various doubts: What is the best way to express the capacity? Perhaps it can be estimated by the number of possible transitions? Is there any formula for this? Taking into account the entropy of the input data, exceeded the capacity of the model, How …

It says:

> In our model it is straightforward to obtain an estimate of sequence capacity. Although we refer to the network model as a “sequence memory,” it is actually a memory of transitions. There is no representation or concept of the length of sequences or of the number of stored sequences. The network only learns transitions between inputs. Therefore, the capacity of a network is measured by how many transitions a given network can store. This can be calculated as the product of the expected duty cycle of an individual neuron (cells per column/column sparsity) times the number of patterns each neuron can recognize on its basal dendrites.

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