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 # Schizophrenia-mimicking layer
 The original schizophrenia-mimicking layer is based on our [study on nanometer-scale 3D structure of neuronal network in schizophrenia cases](https://www.nature.com/articles/s41398-019-0427-4). We translated the findings into newly designed layers that mimic connection constraints in schizophrenia. <BR>
 
-Test calculations using the connection-constraint layer indicated that 80% of weights can be eliminated without any changes in training procedures or network configuration. Very interestingly the connection-constraint layer completely suppresses overfitting and outperforms fully connected layer. Here is a typical example obtained using [this python code](https://github.com/mizutanilab/biomimetic-nn/FrontNeurorobot/CIFAR10_CNNSchizo200910.py) with slight changes of num_epoch=200, idlist=\[0.5, 0.0\] and num_repeat=10. Over 60% of kernel weights of convolution layers can be zeroed with the same method without any accuracy loss. This study was published in <a href="http://journal.frontiersin.org/article/10.3389/fnbot.2022.851471/full?&utm_source=Email_to_authors_&utm_medium=Email&utm_content=T1_11.5e1_author&utm_campaign=Email_publication&field=&journalName=Frontiers_in_Neurorobotics&id=851471">Front Neurorobot</a>.<BR><BR>
+Test calculations using the connection-constraint layer indicated that 80% of weights can be eliminated without any changes in training procedures or network configuration. Very interestingly the connection-constraint layer completely suppresses overfitting and outperforms fully connected layer. Here is a typical example obtained using [this python code](https://github.com/mizutanilab/biomimetic-nn/blob/master/FrontNeurorobot/CIFAR10_CNNSchizo200910.py) with slight changes of num_epoch=200, idlist=\[0.5, 0.0\] and num_repeat=10. Over 60% of kernel weights of convolution layers can be zeroed with the same method without any accuracy loss. This study was published in <a href="http://journal.frontiersin.org/article/10.3389/fnbot.2022.851471/full?&utm_source=Email_to_authors_&utm_medium=Email&utm_content=T1_11.5e1_author&utm_campaign=Email_publication&field=&journalName=Frontiers_in_Neurorobotics&id=851471">Front Neurorobot</a>.<BR><BR>
 ![training example](CIFAR_CNN_ConcurrTraj200913.png)
 
 ## How to implement the schizophrenia-mimicking layer in your network