000			01777 a2200289 4500
008			240209b |||||||| |||| 00| 0 eng d
020			_a9780470044889
082			_a612.82 CHE
100			_aChen, Zhe
245			_aCorrelative learning: a basis for brain and adaptive systems
260			_aHoboken, New Jersey: _bJohn Wiley & Sons, _c2007.
300			_axxvi, 448p.: _bill.; hbk.: _c24cm
440			_aAdaptive and Cognitive Dynamic Systems: Signal Processing, Learning, Communications and Control
504			_aIncludes index
520			_aCorrelative Learning: A Basis for Brain and Adaptive Systems provides a bridge between three disciplines: computational neuroscience, neural networks, and signal processing. First, the authors lay down the preliminary neuroscience background for engineers. The book also presents an overview of the role of correlation in the human brain as well as in the adaptive signal processing world; unifies many well-established synaptic adaptations (learning) rules within the correlation-based learning framework, focusing on a particular correlative learning paradigm, ALOPEX; and presents case studies that illustrate how to use different computational tools and ALOPEX to help readers understand certain brain functions or fit specific engineering applications. https://www.wiley.com/en-us/Correlative+Learning%3A+A+Basis+for+Brain+and+Adaptive+Systems-p-9780470044889
650			_aComputational Neuroscience
650			_aNeural Networks
650			_aSignal Processing
650			_aHuman Brain
650			_aLocal Decorrelative Learning
650			_aCorrelative Brain
650			_aSpiking Neurons
700			_aHaykin, Simon
700			_aEggermont, Jos J.
700			_aBecker, Suzanna
942			_2ddc _cTD
999			_c58282 _d58282