2martens/uni
1
0
Fork 0
mirror of https://github.com/2martens/uni.git synced 2026-05-06 19:36:26 +02:00
Code Releases Activity

[NN] Added info about Hebbian learning to localized learning section

Browse Source 
Signed-off-by: Jim Martens <github@2martens.de>
This commit is contained in:
Jim Martens
2018-05-24 11:48:26 +02:00
parent 4a474d0625
commit 564479a094
1 changed files with 8 additions and 0 deletions
Download Patch File Download Diff File Expand all files Collapse all files

8
neural-networks/seminarpaper.tex
View File

@ -455,6 +455,14 @@ is decreasing with further distance from the source. The sources are the second
environmental feedback loop in this example as they tell the network or a part of environmental feedback loop in this example as they tell the network or a part of
it when to learn. it when to learn.
How does the actual learning happen? The weight change between two neurons
is dependent on the activation of both neurons, the learning rate and the concentration
of neuromodulators. In short Hebbian learning is employed.
\[
\Delta w_{ij} = \eta \cdot m_i \cdot a_i \cdot a_j
\]
This explanation should suffice for the general understanding of their method. This explanation should suffice for the general understanding of their method.
The neurons within the vicinity of these sources only update their weights The neurons within the vicinity of these sources only update their weights
in one of the seasons. Therefore they only learn for one season and are unaffected in one of the seasons. Therefore they only learn for one season and are unaffected