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This theoretical approach is general and does not depend on the particular dynamic of the elements forming the network, since the network topology can be determined by finding a Laplacian matrix (the matrix that describes the connections and the coupling strengths among the elements) whose eigenvalues satisfy some special conditions. To illustrate our ideas and theoretical approaches, we use neural networks of electrically connected chaotic Hindmarsh\u2013Rose neurons. <\/jats:p>","DOI":"10.1142\/s021812741230008x","type":"journal-article","created":{"date-parts":[[2012,2,17]],"date-time":"2012-02-17T07:32:15Z","timestamp":1329463935000},"page":"1230008","source":"Crossref","is-referenced-by-count":3,"title":["ACTIVE NETWORKS THAT MAXIMIZE THE AMOUNT OF INFORMATION TRANSMISSION"],"prefix":"10.1142","volume":"22","author":[{"given":"M. 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