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1999, 1st ed., ISBN 044450270X, 401
The Self-Organizing Map, or Kohonen Map, is one of the most widely used neural network algorithms, with thousands of applications covered in the literature. It... 
Neural networks (Computer science) | Self-organizing maps | Applications of Computing
eBook
Science, ISSN 0036-8075, 3/2013, Volume 339, Issue 6125, pp. 1284 - 1285
Neuroscientists have made impressive advances in understanding the microscale function of single neurons and the macroscale activity of the human brain. One... 
Bioengineering | Brain | Neurons | Technology | Imaging | PERSPECTIVES | Materials science | Biochemistry | Behavioral neuroscience | Nanotechnology | Neural conduction | MULTIDISCIPLINARY SCIENCES | Neurosciences | Brain research | Nuclear magnetic resonance--NMR
Journal Article
2014, 2014, Advances in Intelligent Systems and Computing, ISBN 9783319076942, Volume 295, 312
The book collects the scientific contributions presented at the 10th Workshop on Self-Organizing Maps (WSOM 2014) held at the University of Applied Sciences... 
Congresses | Self-organizing systems | Neural networks (Computer science) | Self-organizing maps | Artificial Intelligence (incl. Robotics) | Engineering | Computational Intelligence | Vector analysis
eBook
1997, 2nd ed., Springer series in information sciences, ISBN 9783540620174, Volume 30., xvii, 426
Book
2005, ISBN 0387220240, xxix, 538
A review of the current theories of the visual cortex and the biological data on which they are based, this book presents a unified computational approach to... 
Computer simulation | Visual cortex | Life Sciences | Neurosciences | Ophthalmology | Neurobiology | Computer Appl. in Life Sciences
Book
1992, Computation and neural systems series., ISBN 9780201554434, 306
Book
Journal Article
Bioinformatics, ISSN 1367-4803, 10/2012, Volume 28, Issue 19, pp. 2449 - 2457
Journal Article
Physics Reports, ISSN 0370-1573, 2011, Volume 501, Issue 1, pp. 1 - 74
Ever since the pioneering work of Hodgkin and Huxley, biological neuron models have consisted of ODEs representing the evolution of the transmembrane voltage... 
Nonlinear dynamics | Discrete-time | Neuron models | Map-based | Neural networks | PHYSICS, MULTIDISCIPLINARY | NOISE | SYNCHRONIZATION | CHAOS | COMMUNITY STRUCTURE | NEURAL-NETWORKS | SPIKING | COHERENCE RESONANCE | OSCILLATIONS | BRAIN | BIFURCATION
Journal Article