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 ## MAM v1.1.0
 
-This release brings a number of improvements and new features, including the down-scaling multi-area model, which enhance the model's reliability, usability, and overall user experience. It also serves as a base version that specifies the dependencies required for our future releases up to and including MAM v2.0.0.
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-For detailed changes made in this release since our last release MAM v1.0.0, please check our [version log][https://github.com/INM-6/MAM2EBRAINS/edit/pre-cr-pr/VERSION_LOG.md].
-
 ### Enhancements
 
 * The structure of the notebook has been revamped for improved clarity and user navigation.
@@ -23,20 +19,6 @@ For detailed changes made in this release since our last release MAM v1.0.0, ple
 
 ## MAM v1.0.0
 
-This code implements the spiking network model of macaque visual cortex developed at the Institute of Neuroscience and Medicine (INM-6), Research Center Jülich.
-
-The model has been documented in the following publications:
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-1. Schmidt M, Bakker R, Hilgetag CC, Diesmann M & van Albada SJ Multi-scale account of the network structure of macaque visual cortex Brain Structure and Function (2018), 223: 1409 https://doi.org/10.1007/s00429-017-1554-4
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-2. Schuecker J, Schmidt M, van Albada SJ, Diesmann M & Helias M (2017) Fundamental Activity Constraints Lead to Specific Interpretations of the Connectome. PLOS Computational Biology, 13(2): e1005179. https://doi.org/10.1371/journal.pcbi.1005179
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-3. Schmidt M, Bakker R, Shen K, Bezgin B, Diesmann M & van Albada SJ (2018) A multi-scale layer-resolved spiking network model of resting-state dynamics in macaque cortex. PLOS Computational Biology, 14(9): e1006359. https://doi.org/10.1371/journal.pcbi.1006359
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-The code in this repository is self-contained and allows one to reproduce the results of all three papers.
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-The code was improved since the above publications to function with more modern versions of NEST (3+) as well as other minor updates.
-
 ### Bug fixes
 * corrected the URL of NEST logo in README.md