Posted by **hill0** at Aug. 5, 2017

English | 8 Dec. 2014 | ISBN: 3319116886 | 332 Pages | PDF | 5.44 MB

Hermann Haken (born 1927) is one of the “fathers” of the quantum-mechanical laser theory, formulated between 1962 and 1966, in strong competition with American researchers. Later on, he created Synergetics, the science of cooperation in multicomponent systems.

Posted by **step778** at May 22, 2017

2014 | pages: 317 | ISBN: 3319116886 | PDF | 5,4 mb

Posted by **insetes** at Nov. 7, 2015

2015 | 332 Pages | ISBN: 3319116886 | PDF | 4 MB

Posted by **bookwyrm** at Sept. 16, 2015

2015 | 332 Pages | ISBN: 3319116886 | PDF | 4 MB

Posted by **insetes** at Aug. 8, 2015

2015 | 332 Pages | ISBN: 3319116886 | PDF | 4 MB

Posted by **tanas.olesya** at July 23, 2015

English | Nov. 2, 2006 | ISBN: 3540462821 | 249 Pages | PDF | 3 MB

This book addresses a large variety of models in mathematical and computational neuroscience. It is written for the experts as well as for graduate students wishing to enter this fascinating field of research. The author studies the behaviour of large neural networks composed of many neurons coupled by spike trains.

Posted by **tukotikko** at March 5, 2015

2015 | 332 Pages | ISBN: 3319116886 | PDF | 5 MB

Posted by **Torries** at July 8, 2017

Posted by **AvaxGenius** at June 11, 2017

English | PDF | 2008 | 331 Pages | ISBN : 3540752366 | 3.5 MB

Brain Dynamics serves to introduce graduate students and nonspecialists from various backgrounds to the field of mathematical and computational neurosciences. Some of the advanced chapters will also be of interest to the specialists. The book approaches the subject through pulse-coupled neural networks, with at their core the lighthouse and integrate-and-fire models, which allow for the highly flexible modelling of realistic synaptic activity, synchronization and spatio-temporal pattern formation.

Posted by **AvaxGenius** at May 25, 2017

English | PDF | 2008 | 331 Pages | ISBN : 3540752366 | 3.5 MB

Brain Dynamics serves to introduce graduate students and nonspecialists from various backgrounds to the field of mathematical and computational neurosciences. Some of the advanced chapters will also be of interest to the specialists. The book approaches the subject through pulse-coupled neural networks, with at their core the lighthouse and integrate-and-fire models, which allow for the highly flexible modelling of realistic synaptic activity, synchronization and spatio-temporal pattern formation.