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minor typo correction - changed natural inhibition to lateral inhibition - Update 09-1.md #844

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2 changes: 1 addition & 1 deletion docs/en/week09/09-1.md
Original file line number Diff line number Diff line change
Expand Up @@ -82,7 +82,7 @@ It is a regulariser. The term itself is not trained, it's fixed. It's just the L
<center><img src="{{site.baseurl}}/images/week09/09-1/AS3giSt.jpg" width="400px" height="200px"/></center>
**Fig 5:** Invariant Features through Lateral Inhibition

Here, there is a linear decoder with square reconstruction error. There is a criterion in the energy. The matrix $S$ is either determined by hand or learned so as to maximise this term. If the terms in $S$ are positive and large, it implies that the system does not want $z_i$ and $z_j$ to be on at the same time. Thus, it is sort of a mutual inhibition (called natural inhibition in neuroscience). Thus, you try to find a value for $S$ that is as large as possible.
Here, there is a linear decoder with square reconstruction error. There is a criterion in the energy. The matrix $S$ is either determined by hand or learned so as to maximise this term. If the terms in $S$ are positive and large, it implies that the system does not want $z_i$ and $z_j$ to be on at the same time. Thus, it is sort of a mutual inhibition (called lateral inhibition in neuroscience). Thus, you try to find a value for $S$ that is as large as possible.

<center><img src="{{site.baseurl}}/images/week09/09-1/sszdGh0.png" width="400px"/></center>
**Fig 6:** Invariant Features through Lateral Inhibition (Tree Form)
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