메뉴 건너뛰기




Volumn , Issue , 2011, Pages 275-296

Liquid state machines: Motivation, theory, and applications

Author keywords

[No Author keywords available]

Indexed keywords

MOTIVATION;

EID: 84986578247     PISSN: None     EISSN: None     Source Type: Book    
DOI: 10.1142/9781848162778_0008     Document Type: Chapter
Times cited : (177)

References (37)
  • 2
    • 4644327403 scopus 로고    scopus 로고
    • Vapnik-Chervonenkis dimension of neural nets
    • ed., M.A. Arbib, MIT Press, Cambridge, 2nd edition
    • P. L. Bartlett andW. Maass. Vapnik-Chervonenkis dimension of neural nets. In ed., M. A. Arbib, The Handbook of Brain Theory and Neural Networks, pp. 1188-1192. MIT Press, Cambridge, 2nd edition, (2003).
    • (2003) The Handbook of Brain Theory and Neural Networks , pp. 1188-1192
    • Bartlett, P.L.1    Maass, W.2
  • 3
    • 0022150259 scopus 로고
    • Fading memory and the problem of approximat ing nonlinear oparators with Volterra series
    • S. Boyd and L. O. Chua, Fading memory and the problem of approximat ing nonlinear oparators with Volterra series, IEEE Trans. on Circuits and Systems. 32, 1150-1161, (1985).
    • (1985) IEEE Trans. on Circuits and Systems , vol.32 , pp. 1150-1161
    • Boyd, S.1    Chua, L.O.2
  • 4
    • 0029637353 scopus 로고
    • Universal computation and other capabilities of hybrid and continuous dynamical systems
    • M. S. Branicky, Universal computation and other capabilities of hybrid and continuous dynamical systems, Theoret. Comput. Sci. 138, 67-100, (1995).
    • (1995) Theoret. Comput. Sci , vol.138 , pp. 67-100
    • Branicky, M.S.1
  • 5
    • 58549091090 scopus 로고    scopus 로고
    • State-dependent computations: Spatiotemporal processing in cortical networks
    • D. Buonomano and W. Maass, State-dependent computations: Spatiotemporal processing in cortical networks. Nature Reviews Neuroscience. 10(2), 113-125, (2009).
    • (2009) Nature Reviews Neuroscience , vol.10 , Issue.2 , pp. 113-125
    • Buonomano, D.1    Maass, W.2
  • 7
    • 28644439044 scopus 로고    scopus 로고
    • Pattern recognition in a bucket: A real liquid brain
    • Springer, Berlin-Heidelberg
    • C. Fernando and S. Sojakka. Pattern recognition in a bucket: a real liquid brain. In Proceedings of ECAL. Springer, Berlin-Heidelberg, (2003).
    • (2003) Proceedings of ECAL
    • Fernando, C.1    Sojakka, S.2
  • 9
    • 33845781025 scopus 로고    scopus 로고
    • A statistical analysis of information processing properties of lamina-specific cortical microcircuit models
    • S. Haeusler and W. Maass, A statistical analysis of information processing properties of lamina-specific cortical microcircuit models, Cereb. Cortex. 17 (1), 149-162, (2007).
    • (2007) Cereb. Cortex , vol.17 , Issue.1 , pp. 149-162
    • Haeusler, S.1    Maass, W.2
  • 10
    • 70149112967 scopus 로고    scopus 로고
    • Motif distribution and computational performance of two data-based cortical microcircuit templates
    • press
    • S. Haeusler, K. Schuch, andW. Maass, Motif distribution and computational performance of two data-based cortical microcircuit templates, J. Physiology-Paris. (2009). in press.
    • (2009) J. Physiology-Paris
    • Haeusler, S.1    Schuch, K.2    Maass, W.3
  • 12
    • 85047681116 scopus 로고    scopus 로고
    • What is a moment? Transient synchrony as a collective mechanism for spatio-temporal integration
    • J. J. Hopfield and C. D. Brody, What is a moment? Transient synchrony as a collective mechanism for spatio-temporal integration, Proc. Natl. Acad. Sci. USA. 98(3), 1282-1287, (2001).
    • (2001) Proc. Natl. Acad. Sci. USA , vol.98 , Issue.3 , pp. 1282-1287
    • Hopfield, J.J.1    Brody, C.D.2
  • 13
    • 84986547874 scopus 로고    scopus 로고
    • Can't get you out of my head: A connectionist model of cyclic rehearsal
    • eds., I. Wachsmuth and G. Knoblich
    • H. Jaeger and D. Eck. Can't get you out of my head: A connectionist model of cyclic rehearsal. In eds., I. Wachsmuth and G. Knoblich, Modeling Com-munication with Robots and Virtual Humans, (2008).
    • (2008) Modeling Com-munication with Robots and Virtual Humans
    • Jaeger, H.1    Eck, D.2
  • 14
    • 1842421269 scopus 로고    scopus 로고
    • Harnessing nonlinearity: Predicting chaotic systems and saving energy in wireless communication
    • H. Jaeger and H. Haas, Harnessing nonlinearity: predicting chaotic systems and saving energy in wireless communication, Science. 304, 78-80, (2004).
    • (2004) Science , vol.304 , pp. 78-80
    • Jaeger, H.1    Haas, H.2
  • 15
    • 34249859348 scopus 로고    scopus 로고
    • Introduction to the special issue on echo state networks and liquid state machines
    • H. Jaeger, W. Maass, and J. Principe, Introduction to the special issue on echo state networks and liquid state machines, Neural Networks. 20(3), 287-289, (2007).
    • (2007) Neural Networks , vol.20 , Issue.3 , pp. 287-289
    • Jaeger, H.1    Maass, W.2    Principe, J.3
  • 16
    • 34548726030 scopus 로고    scopus 로고
    • Is there a liquid state machine in the bacterium escherichia coli?
    • ALIFE'07, IEEE Symposium
    • B. Jones, D. Stekel, J. Rowe, and C. Fernando, Is there a liquid state machine in the bacterium escherichia coli?, Artif. Life. ALIFE'07, IEEE Symposium, 187-191, (2007).
    • (2007) Artif. Life , pp. 187-191
    • Jones, B.1    Stekel, D.2    Rowe, J.3    Fernando, C.4
  • 17
    • 20744444594 scopus 로고    scopus 로고
    • Movement generation with circuits of spiking neurons
    • P. Joshi and W. Maass, Movement generation with circuits of spiking neurons, Neural Comput. 17(8), 1715-1738, (2005).
    • (2005) Neural Comput , vol.17 , Issue.8 , pp. 1715-1738
    • Joshi, P.1    Maass, W.2
  • 20
    • 33847177741 scopus 로고    scopus 로고
    • What makes a dynamical system computationally powerful?
    • eds., S. Haykin, J.C. Principe, T. Sejnowski, and J. McWhirter, MIT Press, Cambridge, MA
    • R. Legenstein and W. Maass. What makes a dynamical system computationally powerful? In eds., S. Haykin, J. C. Principe, T. Sejnowski, and J. McWhirter, New Directions in Statistical Signal Processing: From Sys-tems to Brains, pp. 127-154. MIT Press, Cambridge, MA, (2007).
    • (2007) New Directions in Statistical Signal Processing: From Sys-tems to Brains , pp. 127-154
    • Legenstein, R.1    Maass, W.2
  • 21
    • 33846543881 scopus 로고    scopus 로고
    • Edge of chaos and prediction of computational performance for neural microcircuit models
    • R. Legenstein and W. Maass, Edge of chaos and prediction of computational performance for neural microcircuit models, Neural Networks. 20(3), 323-334, (2007).
    • (2007) Neural Networks , vol.20 , Issue.3 , pp. 323-334
    • Legenstein, R.1    Maass, W.2
  • 22
    • 55449121121 scopus 로고    scopus 로고
    • A learning theory for rewardmodulated spike-timing-dependent plasticity with application to biofeedback
    • R. Legenstein, D. Pecevski, and W. Maass, A learning theory for rewardmodulated spike-timing-dependent plasticity with application to biofeedback, PLoS Computational Biology. 4(10), 1-27, (2008).
    • (2008) PLoS Computational Biology , vol.4 , Issue.10 , pp. 1-27
    • Legenstein, R.1    Pecevski, D.2    Maass, W.3
  • 23
    • 33846556028 scopus 로고    scopus 로고
    • Computational aspects of feedback in neural circuits
    • W. Maass, P. Joshi, and E. D. Sontag, Computational aspects of feedback in neural circuits, PLoS Computational Biology. 3(1), e165, 1-20, (2007).
    • (2007) PLoS Computational Biology , vol.3 , Issue.1
    • Maass, W.1    Joshi, P.2    Sontag, E.D.3
  • 24
    • 6344235224 scopus 로고    scopus 로고
    • On the computational power of recurrent circuits of spiking neurons
    • W. Maass and H. Markram, On the computational power of recurrent circuits of spiking neurons, J. Comput. System Sci. 69(4), 593-616, (2004).
    • (2004) J. Comput. System Sci , vol.69 , Issue.4 , pp. 593-616
    • Maass, W.1    Markram, H.2
  • 25
    • 34249980918 scopus 로고    scopus 로고
    • Theory of the computational function of microcircuit dynamics
    • eds. S. Grillner and A.M. Graybiel, Dahlem Workshop Report 93,. MIT Press
    • W. Maass and H. Markram. Theory of the computational function of microcircuit dynamics. In eds. S. Grillner and A. M. Graybiel, The Interface between Neurons and Global Brain Function, Dahlem Workshop Report 93, pp. 371-390. MIT Press, (2006).
    • (2006) The Interface between Neurons and Global Brain Function , pp. 371-390
    • Maass, W.1    Markram, H.2
  • 26
    • 0036834701 scopus 로고    scopus 로고
    • Real-time computing without stable states: A new framework for neural computation based on perturbations
    • W. Maass, T. Natschlaeger, and H. Markram, Real-time computing without stable states: A new framework for neural computation based on perturbations, Neural Comput. 14(11), 2531-2560, (2002).
    • (2002) Neural Comput , vol.14 , Issue.11 , pp. 2531-2560
    • Maass, W.1    Natschlaeger, T.2    Markram, H.3
  • 27
    • 28644432156 scopus 로고    scopus 로고
    • Fading memory and kernel properties of generic cortical microcircuit models
    • W. Maass, T. Natschlaeger, and H. Markram, Fading memory and kernel properties of generic cortical microcircuit models, J. Physiology-Paris. 98 (4-6), 315-330, (2004).
    • (2004) J. Physiology-Paris , vol.98 , Issue.4-6 , pp. 315-330
    • Maass, W.1    Natschlaeger, T.2    Markram, H.3
  • 28
    • 73949137624 scopus 로고    scopus 로고
    • Distributed fading memory for stimulus properties in the primary visual cortex
    • D. Nikolic, S. Haeusler, W. Singer, and W. Maass, Distributed fading memory for stimulus properties in the primary visual cortex, PLoS Biology. 7(12), 1-19, (2009).
    • (2009) PLoS Biology , vol.7 , Issue.12 , pp. 1-19
    • Nikolic, D.1    Haeusler, S.2    Singer, W.3    Maass, W.4
  • 30
    • 46849100436 scopus 로고    scopus 로고
    • Transient dynamics for neural processing
    • M. Rabinovich, R. Huerta, and G. Laurent, Transient dynamics for neural processing, Science. 321, 45-50, (2008).
    • (2008) Science , vol.321 , pp. 45-50
    • Rabinovich, M.1    Huerta, R.2    Laurent, G.3
  • 32
    • 40649092298 scopus 로고    scopus 로고
    • Compact hardware liquid state machines on FPGA for real-time speech recognition
    • B. Schrauwen, M. D'Haene, D. Verstraeten, and D. Stroobandt, Compact hardware liquid state machines on FPGA for real-time speech recognition, Neural Networks. 21, 511-523, (2008).
    • (2008) Neural Networks , vol.21 , pp. 511-523
    • Schrauwen, B.1    D'Haene, M.2    Verstraeten, D.3    Stroobandt, D.4
  • 33
    • 0036716478 scopus 로고    scopus 로고
    • Synaptic connections and small circuits involving excitatory and inhibitory neurons in layers 2-5 of adult rat and cat neocortex: Triple intracellular recordings and biocytin labelling in vitro
    • A. M. Thomson, D. C. West, Y. Wang, and A. P. Bannister, Synaptic connections and small circuits involving excitatory and inhibitory neurons in layers 2-5 of adult rat and cat neocortex: triple intracellular recordings and biocytin labelling in vitro, Cereb. Cortex. 12(9), 936-953, (2002).
    • (2002) Cereb. Cortex , vol.12 , Issue.9 , pp. 936-953
    • Thomson, A.M.1    West, D.C.2    Wang, Y.3    Bannister, A.P.4
  • 34
    • 34249874927 scopus 로고    scopus 로고
    • Learning grammatical structure with echo state networks
    • M. Tong, A. Bickett, E. Christiansen, and G. Cotrell, Learning grammatical structure with echo state networks, Neural Networks. 20(3), 424-432, (2007).
    • (2007) Neural Networks , vol.20 , Issue.3 , pp. 424-432
    • Tong, M.1    Bickett, A.2    Christiansen, E.3    Cotrell, G.4
  • 37
    • 2342592517 scopus 로고    scopus 로고
    • Short-term memory in orthogonal neural networks
    • O. L. White, D. D. Lee, and H. Sompolinsky, Short-term memory in orthogonal neural networks, Phys. Rev. Letters. 92(14), 148102, (2004).
    • (2004) Phys. Rev. Letters , vol.92 , Issue.14
    • White, O.L.1    Lee, D.D.2    Sompolinsky, H.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.