TY - JOUR T1 - Towards Reproducible Descriptions of Neuronal Network Models A1 - Nordlie, Eilen A1 - Gewaltig, Marc-Oliver A1 - Plesser, Hans Ekkehard Y1 - 2009/08/07 N2 - Author Summary Scientists make precise, testable statements about their observations and models of nature. Other scientists can then evaluate these statements and attempt to reproduce or extend them. Results that cannot be reproduced will be duly criticized to arrive at better interpretations of experimental results or better models. Over time, this discourse develops our joint scientific knowledge. A crucial condition for this process is that scientists can describe their own models in a manner that is precise and comprehensible to others. We analyze in this paper how well models of neuronal networks are described in the scientific literature and conclude that the wide variety of manners in which network models are described makes it difficult to communicate models successfully. We propose a good model description practice to improve the communication of neuronal network models. JF - PLOS Computational Biology JA - PLOS Computational Biology VL - 5 IS - 8 UR - https://doi.org/10.1371/journal.pcbi.1000456 SP - e1000456 EP - PB - Public Library of Science M3 - doi:10.1371/journal.pcbi.1000456 ER -