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The human brain is a dynamical system whose extremely complex sensor-driven neural processes give rise to conceptual, logical cognition.
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Unstable attractors induce perpetual synchronization and desynchronization
M. Timme, F. Wolf, and Th. Geisel · 2003
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Harnessing nonlinearity: Predicting chaotic systems and saving energy in wireless communication
H. Jaeger and H. Haas · 2004
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Echo state networks and self-prediction
N. M. Mayer and M. Browne · 2004
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From sensorimotor sequence to grammatical construction: Evidence from simulation and neurophysiology
P. F. Dominey · 2005
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Synaptic depression enables neuronal gain control
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Information processing using a single dynamical node as complex system
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Whatever next? Predictive brains, situated agents, and the future of cognitive science
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The Human Brain Project
HBP Consortium · 2012
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A large-scale model of the functioning brain
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Hebbian learning of recurrent connections: a geometrical perspective
M. Galtier, O. D. Faugeras, and P. C. Bressloff · 2012
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Theory and simulation in neuroscience
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Recurrent kernel machines: Computing with infinite echo state networks
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Imagenet classification with deep convolutional neural networks
A. Krizhevsky, I. Sutskever, and G. Hinton · 2012
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Learning coupled dynamical systems from human demonstration for robotic eye-arm-hand coordination
L. Lukic, J. Santos-Victor, and A. Billard · 2012
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Symmetric nonnegative tensors and copositive tensors
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Representation and generalization of bi-manual skills from kinesthetic teaching
R. F. Reinhart, A. Lemme, and J. J. Steil · 2012
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Design strategies for weight matrices of echo state networks
T. Strauss, W. Wustlich, and R. Labahn · 2012
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Transferring learning from external to internal weights in echo-state networks with sparse connectivity
D. Sussillo and L. Abbott · 2012
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Re-visiting the echo state property
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Adaptive resonance theory
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The NIH BRAIN initiative
T. R. Insel, S. C. Landis, and F. S. Collins · 2013
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Robust timing and motor patterns by taming chaos in recurrent neural networks
R. Laje and D. V. Buonomano · 2013
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Echo state property linked to an input: Exploring a fundamental characteristic of recurrent neural networks
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Opening the black box: Low-dimensional dynamics in high-dimensional recurrent neural networks
D. Sussillo and O Barak · 2013
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Frequency modulation of large oscillatory neural networks
F. wyffels, J. Li, T. Waegeman, B. Schrauwen, and H. Jaeger · 2014
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