Ijspeert AJ, Righetti L, Buchli J. (2006). Dynamic Hebbian learning in adaptive frequency oscillators Phys D Nonlin Phenomena. 216
Ijspeert AJ, Righetti L, Buchli J. (2006). Dynamic Hebbian learning in adaptive frequency oscillators Phys D Nonlin Phenomena. 216
Ijspeert AJ, Righetti L, Buchli J. (2009). Adaptive frequency oscillators and applications Open Cybern. 3
Ijspeert AJ, Righetti L, Buchli J. (2009). Adaptive frequency oscillators and applications Open Cybern. 3
Keogh E, Chakrabarti K, Mehrotra S, Pazzani M. (2001). Dimensionality reduction for fast similarity search in large time series databases Knowl Inf Syst. 3
Keogh E, Chakrabarti K, Mehrotra S, Pazzani M. (2001a). Locally adaptive dimensionality reduction for indexing large time series databases Sigmod Record. 30
Kohonen T. (1997). Self-organizing maps (2nd Edn).
Kuramoto Y. (1984). Chemical oscillations, waves, and turbulence.
Lawrence S, Giles CL, Tsoi AC, Back AD. (1997). Face recognition: a convolutional neural-network approach. IEEE transactions on neural networks. 8 [PubMed]
Leeb R et al. (2007). Self-paced (asynchronous) BCI control of a wheelchair in virtual environments: a case study with a tetraplegic. Computational intelligence and neuroscience. 2007 [PubMed]
Lippmann RP. (1989). Review of neural networks for speech recognition Neural Comput. 1
Lippmann RP. (1989). Review of neural networks for speech recognition Neural Comput. 1
Lisman J, Buzsáki G. (2008). A neural coding scheme formed by the combined function of gamma and theta oscillations. Schizophrenia bulletin. 34 [PubMed]
Logothetis NK, Pauls J, Augath M, Trinath T, Oeltermann A. (2001). Neurophysiological investigation of the basis of the fMRI signal. Nature. 412 [PubMed]
Lüscher C, Malenka RC. (2012). NMDA receptor-dependent long-term potentiation and long-term depression (LTP/LTD). Cold Spring Harbor perspectives in biology. 4 [PubMed]
Maass W. (1997). Fast sigmoidal networks via spiking neurons. Neural computation. 9 [PubMed]
Maass W. (1997). Networks of spiking neurons: The third generation of neural network models Neural Networks. 10
McClung CA. (2007). Circadian rhythms, the mesolimbic dopaminergic circuit, and drug addiction. TheScientificWorldJournal. 7 [PubMed]
Oja E. (1989). Neural networks, principal components, and subspaces Int J Neural System. 1
Oja E. (1997). The nonlinear PCA learning rule and signal separation: Mathematical analysis Neurocomputing. 17
Omotayo O. (1985). Effective transfer of data through multiplexing Data Process. 27
Omotayo O. (1985). Effective transfer of data through multiplexing Data Process. 27
Pehlevan C, Hu T, Chklovskii DB. (2015). A Hebbian/Anti-Hebbian Neural Network for Linear Subspace Learning: A Derivation from Multidimensional Scaling of Streaming Data. Neural computation. 27 [PubMed]
Percival DB, Walden AT. (2006). Wavelet Methods for Time Series Analysis .
Percival DB, Walden AT. (2006). Wavelet Methods for Time Series Analysis .
Pfurtscheller G, Brunner C, Schlögl A, Leeb R, Müller-Putz G. (2008). BCI Competition 2008-Graz data Set B .
Pfurtscheller G, Neuper C. (2001). Motor imagery and direct brain-computer communication Proc IEEE. 89
Pfurtscheller G, Neuper C. (2001). Motor imagery and direct brain-computer communication Proc IEEE. 89
Pfurtscheller G et al. (2007). Brain-computer communication: Motivation, aim, and impact of exploring a virtual apartment IEEE Trans Neural Syst Rehabil Eng. 15
Ramoser H, Müller-Gerking J, Pfurtscheller G. (2000). Optimal spatial filtering of single trial EEG during imagined hand movement. IEEE transactions on rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society. 8 [PubMed]
Rubner J, Schulten K. (1990). Development of feature detectors by self-organization. A network model. Biological cybernetics. 62 [PubMed]
Ruck DW, Rogers SK, Kabrisky M. (1990). Feature selection using a multilayer perceptron J Neural Netw Comput. 2
Ruck DW, Rogers SK, Kabrisky M. (1990). Feature selection using a multilayer perceptron J Neural Netw Comput. 2
Sanger TD. (1989). Optimal unsupervised learning in a single-layer linear feedforward neural networks Neural Networks. 2
Schmidhuber J. (2015). Deep learning in neural networks: an overview. Neural networks : the official journal of the International Neural Network Society. 61 [PubMed]
Singer W, Gray CM. (1995). Visual feature integration and the temporal correlation hypothesis. Annual review of neuroscience. 18 [PubMed]
Tavan P, Rubner J. (1989). A self-organizing network for principal component analysis Europhys Lett. 10
Trappenberg T. (2003). Continuous attractor neural networks Recent developments in biologically inspired computing.
Wang D, Terman D. (1995). Locally excitatory globally inhibitory oscillator networks. IEEE transactions on neural networks. 6 [PubMed]
Wei L, Lin J, Keogh E, Lonardi S. (2007). Experiencing SAX: a novel symbolic representation of time series Data Min Knowl Discov. 15
Wei L, Lin J, Keogh E, Lonardi S. (2007). Experiencing SAX: a novel symbolic representation of time series Data Min Knowl Discov. 15
Whittingstall K, Logothetis NK. (2009). Frequency-band coupling in surface EEG reflects spiking activity in monkey visual cortex. Neuron. 64 [PubMed]
Williams S, Boksa P. (2010). Gamma oscillations and schizophrenia. Journal of psychiatry & neuroscience : JPN. 35 [PubMed]
Wilson SJ. (2017). Data representation for time series data mining: time domain approaches Wirs Comput Statist. 9