<p>In various cognitive modelling publications, "One-Shot Learning", which is just learning given very few examples, is praised as being an essential part of human cognition. For example, in "<a href="http://www.jmlr.org/proceedings/papers/v27/salakhutdinov12a/salakhutdinov12a.pdf" rel="nofollow">One-Shot Learning with a Hierarchical Nonparametric Bayesian Model</a>" a statistical model is used to quickly develop categories given a few examples of digits from the MNIST database.</p>

<p>Are models built using the NEF/SPA capable of "One-Shot Learning"? Are there any examples of this being performed in a task?</p>

CC BY-SA 3.0
2016-09-06T14:59:25.070Z
I think, the chance to get an answer here is very low unless there happens to be someone from the team behind the NEF on this site. Maybe it's a better idea to ask this on their [mailing list](http://ctnsrv.uwaterloo.ca/mailman/listinfo/nengo-user) ? And maybe they can post their answer here as well or you just copy it to here.
awakenting
CC BY-SA 3.0
2016-09-06T15:01:32.417Z
I work in the NEF lab, which is why I usually ask the questions in the tag. This question is currently being discussed [in the forum](https://forum.nengo.ai/t/one-shot-learning-examples), at which point I will summarise the discussion here for future reference.
Seanny123
CC BY-SA 3.0
2016-09-06T15:10:48.630Z
Ah I see. That's convenient :)
awakenting
<theoretical-neuroscience><computational-modeling><nef><spa>
How is "one-shot learning" implemented in the NEF/SPA?
Seanny123
# How is "one-shot learning" implemented in the NEF/SPA?

(Asked by: username_0 on 2016-08-19)

In various cognitive modelling publications, "One-Shot Learning", which is just learning given very few examples, is praised as being an essential part of human cognition. For example, in "[One-Shot Learning with a Hierarchical Nonparametric Bayesian Model](http://www.jmlr.org/proceedings/papers/v27/salakhutdinov12a/salakhutdinov12a.pdf)" a statistical model is used to quickly develop categories given a few examples of digits from the MNIST database.

Are models built using the NEF/SPA capable of "One-Shot Learning"? Are there any examples of this being performed in a task?

**Tags:** theoretical-neuroscience, computational-modeling, nef, spa

> **Comments:**
> **username_1**: I think, the chance to get an answer here is very low unless there happens to be someone from the team behind the NEF on this site. Maybe it's a better idea to ask this on their [mailing list](http://ctnsrv.uwaterloo.ca/mailman/listinfo/nengo-user) ? And maybe they can post their answer here as well or you just copy it to here.  
> **username_0**: I work in the NEF lab, which is why I usually ask the questions in the tag. This question is currently being discussed [in the forum](https://forum.nengo.ai/t/one-shot-learning-examples), at which point I will summarise the discussion here for future reference.  
> **username_1**: Ah I see. That's convenient :)  

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## 0 answers

