Abstract
Liquid State Machines [1] are a new strategie for real-time information processing in recurrent networks. In the present work we show that spatially coupled oscillators can be used as a usable liquid. If inputs stream are synchronized to oscillator phase its temporal dynamics can be be transformed into a high dimensional spatial pattern of oscillator activity. A memory less readout function can extract information about recent inputs. The fading memory is considered as the resynchronisation of oscillator field and can be adjusted by the parameter of small world connection mechanisms.
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Natschläger, T., Maass, W., Markram, H.: The liquid computer: A nover strategy for real-time computing on time series. Special Issue on Foundations of Information Processing of TELEMATIK, 32–36 (2002)
Maass, W., Markram, H.: On the computational power of recurrent circuits of spiking neurons. J. of Computer and System Sciences 69(4), 593–616 (2004)
Voigt, T., Opitz, T., de Lima, A.D.: Synchronous oscillatory activity in immature cortical network is driven by gabaergic preplate neurons. J. Neurosc. 21(22), 895–905 (2001)
Opitz, T., De Lima, A.D., Voigt, T.: Spontaneous development of synchronous oscillatory activity during maturation of cortical networks in vitro. J. Neurophys. 88, 2196–2206 (2002)
Maeda, E., Robinson, H., Kawana, A.: The mechanisms of generation and propagation of synchronized bursting in developing networks of cortical neurons. J. Neurosc. 10(15), 6834–6845 (1995)
Watts, D., Strogatz, S.: Collective dynamics of ’small-world’ networks. Nature 393, 440–442 (1998)
Kube, K., Herzog, A., Spravedlyvyy, V., Michaelis, B., Opitz, T., de Lima, A., Voigt, T.: Modelling of biologically plausible excitatory networks: Emergence and modulation of neural synchrony. In: ESANN 2004, pp. 379–384 (2004)
Tabak, J., Senn, W., O ’Donovan, M.J., Rinzel, J.: Modeling of spontaneous activity in developing spinal cord using activity-dependent depression in an excitatory network. J Neurosc, 3041–3056 (2000)
Herzog, A., Kube, K., Michaelis, B., de Lima, A.D., Voigt, T.: Simulation of young neocortical networks by sparcely couplet oscillators. In: IJCNN 2006 (in press, 2006)
Herzog, A., Kube, K., Michaelis, B., de Lima, A.D., Voigt, T.: Connection strategies in neocortical networks. In: Proceedings of the ESANN 2006 European Symposium on Artificial Neural Networks, pp. 215–220 (2006)
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© 2006 Springer-Verlag Berlin Heidelberg
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Herzog, A., Kube, K., Michaelis, B., de Lima, A.D., Voigt, T. (2006). Liquid State Machine by Spatially Coupled Oscillators. In: Jiao, L., Wang, L., Gao, Xb., Liu, J., Wu, F. (eds) Advances in Natural Computation. ICNC 2006. Lecture Notes in Computer Science, vol 4221. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11881070_130
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DOI: https://doi.org/10.1007/11881070_130
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-45901-9
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