"Spiking Neural Networks: Spiking Neurons and Learning Algorithms"

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Book	Author(s)	Year	Publisher
Artificial Neural Networks: Learning Algorithms, Performance Evaluation, and Applications	Nicolaos Karayiannis; Anastasios N. Venetsanopoulos	1993	Springer US
Machine learning: neural networks, genetic algorithms, and fuzzy systems /	Adeli, Hojjat,; Hung, Shih-Lin,	[1995], ©1995.	Wiley,
Time-Space, Spiking Neural Networks and Brain-Inspired Artificial Intelligence	Nikola K. Kasabov	1st ed. 2019	Springer Berlin Heidelberg
Recurrent Neural Networks for Prediction - Learning Algorithms, Architectures and Stability	Danilo P. Mandic	2001	John Wiley & Sons
Complex-Valued Neural Networks with Multi-Valued Neurons	Igor Aizenberg	2011	Springer Berlin Heidelberg
Neural Networks and Statistical Learning	Ke-Lin Du; M. N. S. Swamy	2014	Springer London
Neural Networks and Statistical Learning	Ke-Lin Du; M. N. S. Swamy	2nd ed. 2019	Springer London
Neural networks and learning machines	Haykin, Simon	2008;2009	Pearson Education
Neural Networks and Learning Machines	Simon O. Haykin	2008	Prentice Hall
Neural Networks and Learning Machines	Simon S. Haykin	2009	Prentice Hall
Spiking Neuron Models: Single Neurons, Populations, Plasticity	Wulfram Gerstner; Werner M. Kistler	2002-08	Cambridge University Press
Neural Networks, Fuzzy Logic and Genetic Algorithms	S. Rajasekaran	2004	PHI Learning Private Limited
Evolutionary Algorithms and Neural Networks: Theory and Applications	Seyedali Mirjalili	1st ed. 2019	Springer International Publishing
Neural Networks and Its Learning Techniques		2014	Association of Scientists, Developers and Faculties
Mathematics of Neural Networks: Models, Algorithms and Applications	Stephen W. Ellacott; John C. Mason; Iain J. Anderson	1997	Springer US
Diffuse Algorithms for Neural and Neuro-Fuzzy Networks	Boris A. Skorohod	2017	Butterworth-Heinemann
Fundamentals of Neural Networks: Architectures, Algorithms and Applications	Laurene V. Fausett	1993	Pearson
Bayesian Learning for Neural Networks	Radford M. Neal	1996	Springer New York
Learning with Recurrent Neural Networks	Barbara Hammer	2000	Springer London
Subspace Learning of Neural Networks	Jian Cheng Lv; Zhang Yi; Jiliu Zhou	2011	Routledge
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Chapter	Author(s)	Book	Book Authors	Year	Publisher
Spiking Neural Networks: Spiking Neurons and Learning Algorithms	Hojjat Adeli; Samanwoy Ghosh-Dastidar	Automated EEG-Based Diagnosis of Neurological Disorders: Inventing the Future of Neurology	Hojjat Adeli; Samanwoy Ghosh-Dastidar	2010	Routledge
Learning spiking neural networks	Elishai Ezra Tsur	Neuromorphic Engineering: The Scientist&s; s, Algorithm Designer&s; s, and Computer Architect&s; s Perspectives on Brain-Inspired Computing	Elishai Ezra Tsur	2021	Routledge
Spiking Neural Networks		Encyclopedia of the Sciences of Learning	Norbert M. Seel	2012	Springer US
Spiking neural networks		Memristive Devices for Brain-Inspired Computing	Abu Sebastian; Bipin Rajendran; Damien Querlioz andSabina Spiga	2020	Woodhead Publishing
Spiking neural networks		Java for data science: examine the techniques and Java tools supporting the growing field of data science	Reese, Jennifer L.; Reese, Richard M	2017	Packt Publishing
Reinforcement Learning in Spiking Neural Networks	Răzvan V. Florian	Encyclopedia of the Sciences of Learning	Norbert M. Seel	2012	Springer US
Supervised Learning in Spiking Neural Networks	Răzvan V. Florian	Encyclopedia of the Sciences of Learning	Norbert M. Seel	2012	Springer US
Learning Algorithm for Spiking Neural Networks	Hesham H. Amin; Robert H. Fujii	Advances in Natural Computation: First International Conference, ICNC 2005, Changsha, China, August 27-29, 2005, Proceedings, Part I	Lipo Wang; Ke Chen; Yew Soon Ong	2005	Springer Berlin Heidelberg
Learning Mechanisms in Networks of Spiking Neurons	QingXiang Wu; Martin McGinnity; Liam Maguire; Bredan Glackin; Ammar Belatreche	Trends in Neural Computation	Ke Chen; Lipo Wang	2007	Springer Berlin Heidelberg
Evolving Spiking Neural Networks	Nikola K. Kasabov	Time-Space, Spiking Neural Networks and Brain-Inspired Artificial Intelligence	Nikola K. Kasabov	1st ed. 2019	Springer Berlin Heidelberg
Learning Algorithms for Neural Networks	Eduard Aved’yan	Learning Systems	Eduard Aved'yan; J. Mason; P.C. Parks	1995	Springer London
Neural networks and their learning algorithms		Computational Intelligence: Methods and Techniques	Leszek Rutkowski	2008	Springer Berlin Heidelberg
Neuromorphic Networks of Spiking Neurons	Giacomo Indiveri; Rodney Douglas	Nano and Molecular Electronics Handbook	Sergey Edward Lyshevski; Gregory L. Snider; Supriyo Bandyopadhyay; M. Meyyappan; Jeff Stuart; Lev Murokh; Anton Grigoriev; Wenyong Wang; Paolo Facci; Ferdinand Evers; S. Das; Gil Speyer; Alex M. Bratkovsky; Jack A. Tuszynski; Mark A. Ratner; Vladimiro Mujica; David Ferry; Richard Akis; Danko Dimchev Georgiev; James F. Glazebrook; Anatoly Smirnov; Robert Metzger; Bhargava Kanchibotla; Faustino Palmeo Acebedo; Andrea Alessandrini; Gianfranco Cerofolini; Alexander Onipko; Alexei Orlov; Craig S. Lent; Lyuba Malysheva; Kieron Burke; Pamela Garman; Thorsten Hansen; Rikizo Hatakeyama	2007	Routledge
Autonomous Learning Paradigm for Spiking Neural Networks	Junxiu Liu; Liam J. McDaid; Jim Harkin; Shvan Karim; Anju P. Johnson; David M. Halliday et al.	Artificial Neural Networks and Machine Learning – ICANN 2019: Theoretical Neural Computation: 28th International Conference on Artificial Neural Networks, Munich, Germany, September 17–19, 2019, Proceedings, Part I	Igor V. Tetko; Věra Kůrková; Pavel Karpov; Fabian Theis	1st ed. 2019	Springer International Publishing
Operational Principles and Learning in Spiking Neural Networks		Learning in Energy-Efficient Neuromorphic Computing: Algorithm and Architecture Co-Design	Nan Zheng; Pinaki Mazumder	2020	Wiley-IEEE Press
Third Generation Neural Networks: Spiking Neural Networks	Samanwoy Ghosh-Dastidar; Hojjat Adeli	Advances in Computational Intelligence	Wen Yu; Edgar N. Sanchez	2009	Springer Berlin Heidelberg
Gradient Learning in Networks of Smoothly Spiking Neurons	Jiří Šíma	Advances in Neuro-Information Processing: 15th International Conference, ICONIP 2008, Auckland, New Zealand, November 25-28, 2008, Revised Selected Papers, Part II	Mario Köppen; Nikola Kasabov; George Coghill	2009	Springer Berlin Heidelberg
Bayesian Spiking Neurons II: Learning			MIT Press	2008	MIT Press
Learning memristive spiking neurons and beyond	Olga Krestinskaya; Alex James	Mem-elements for Neuromorphic Circuits with Artificial Intelligence Applications	Christos Volos and Viet-Thanh Pham	2021	Academic Press
Neuromorphic Spiking Neural Network Algorithms	Jyotibdha Acharya; Arindam Basu	Handbook of Neuroengineering	Nitish V. Thakor	0th ed. 2020	Springer Nature Singapore
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