Online reservoir adaptation by intrinsic plasticity for backpropagation-decorrelation and echo state learning

Steil JJ (2007)
Neural Networks 20(3): 353-364.

Zeitschriftenaufsatz | Veröffentlicht | Englisch
 
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Stichworte
CoR-Lab Publication
Erscheinungsjahr
2007
Zeitschriftentitel
Neural Networks
Band
20
Ausgabe
3
Seite(n)
353-364
ISSN
0893-6080
Page URI
https://pub.uni-bielefeld.de/record/2142131

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Steil JJ. Online reservoir adaptation by intrinsic plasticity for backpropagation-decorrelation and echo state learning. Neural Networks. 2007;20(3):353-364.
Steil, J. J. (2007). Online reservoir adaptation by intrinsic plasticity for backpropagation-decorrelation and echo state learning. Neural Networks, 20(3), 353-364. https://doi.org/10.1016/j.neunet.2007.04.011
Steil, Jochen J. 2007. “Online reservoir adaptation by intrinsic plasticity for backpropagation-decorrelation and echo state learning”. Neural Networks 20 (3): 353-364.
Steil, J. J. (2007). Online reservoir adaptation by intrinsic plasticity for backpropagation-decorrelation and echo state learning. Neural Networks 20, 353-364.
Steil, J.J., 2007. Online reservoir adaptation by intrinsic plasticity for backpropagation-decorrelation and echo state learning. Neural Networks, 20(3), p 353-364.
J.J. Steil, “Online reservoir adaptation by intrinsic plasticity for backpropagation-decorrelation and echo state learning”, Neural Networks, vol. 20, 2007, pp. 353-364.
Steil, J.J.: Online reservoir adaptation by intrinsic plasticity for backpropagation-decorrelation and echo state learning. Neural Networks. 20, 353-364 (2007).
Steil, Jochen J. “Online reservoir adaptation by intrinsic plasticity for backpropagation-decorrelation and echo state learning”. Neural Networks 20.3 (2007): 353-364.

13 Zitationen in Europe PMC

Daten bereitgestellt von Europe PubMed Central.

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Kainz P, Burgsteiner H, Asslaber M, Ahammer H., Neural Comput Appl 28(6), 2017
PMID: 28706349
Dynamic Neural Fields with Intrinsic Plasticity.
Strub C, Schöner G, Wörgötter F, Sandamirskaya Y., Front Comput Neurosci 11(), 2017
PMID: 28912706
Deep learning in neural networks: an overview.
Schmidhuber J., Neural Netw 61(), 2015
PMID: 25462637
Selection of cortical dynamics for motor behaviour by the basal ganglia.
Mannella F, Baldassarre G., Biol Cybern 109(6), 2015
PMID: 26537483
Simple deterministically constructed cycle reservoirs with regular jumps.
Rodan A, Tiňo P., Neural Comput 24(7), 2012
PMID: 22428595
Minimum complexity echo state network.
Rodan A, Tino P., IEEE Trans Neural Netw 22(1), 2011
PMID: 21075721
Model learning for robot control: a survey.
Nguyen-Tuong D, Peters J., Cogn Process 12(4), 2011
PMID: 21487784
Connectivity, dynamics, and memory in reservoir computing with binary and analog neurons.
Büsing L, Schrauwen B, Legenstein R., Neural Comput 22(5), 2010
PMID: 20028227
Initialization and self-organized optimization of recurrent neural network connectivity.
Boedecker J, Obst O, Mayer NM, Asada M., HFSP J 3(5), 2009
PMID: 20357891

32 References

Daten bereitgestellt von Europe PubMed Central.

Responses of neurons in primary and inferior temporal visual cortices to natural scenes.
Baddeley R, Abbott LF, Booth MC, Sengpiel F, Freeman T, Wakeman EA, Rolls ET., Proc. Biol. Sci. 264(1389), 1997
PMID: 9447735
Real-time computation at the edge of chaos in recurrent neural networks.
Bertschinger N, Natschlager T., Neural Comput 16(7), 2004
PMID: 15165396
Plasticity in single neuron and circuit computations.
Destexhe A, Marder E., Nature 431(7010), 2004
PMID: 15483600
Short term memory and pattern matching with simple echo state networks
Fette, 2005
Recurrent neural networks with small weights implement definite memory machines
Hammer, Neural Computation 15(8), 2003

AUTHOR UNKNOWN, 0
Movement generation with circuits of spiking neurons.
Joshi P, Maass W., Neural Comput 17(8), 2005
PMID: 15969915
Principles of real-time computing with feedback applied to cortical microcircuit models
Maass, 2006
At the edge of chaos: Real-time computations and self-organized criticality in recurrent neural networks
Natschläger, 2005
The primate cortico-cerebellar system: anatomy and function.
Ramnani N., Nat. Rev. Neurosci. 7(7), 2006
PMID: 16791141

AUTHOR UNKNOWN, 0
Analyzing the weight dynamics of recurrent learning algorithms
Schiller, Neurocomputing 63C(), 2005

AUTHOR UNKNOWN, 0
Backpropagation–decorrelation: Recurrent learning with O(N) complexity
Steil, 2004

AUTHOR UNKNOWN, 0
Online stability of backpropagation–decorrelation recurrent learning
Steil, Neurocomputing 69(7–9), 2006

AUTHOR UNKNOWN, 0
Synergies between intrinsic and synaptic plasticity in individual model neurons
Triesch, 2005

AUTHOR UNKNOWN, 0

AUTHOR UNKNOWN, 0

AUTHOR UNKNOWN, 0
Isolated word recognition with the liquid state machine: A case study
Verstraeten, Information Processing Letters 95(6), 2005

AUTHOR UNKNOWN, 0
Sufficient and necessary conditions for global exponential stability of discrete-time recurrent neural networks
Wang, Transactions on Circuits and Systems I 53(6), 2006

AUTHOR UNKNOWN, 0
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