메뉴 건너뛰기




Volumn , Issue , 2010, Pages

Short-term memory in neuronal networks through dynamical compressed sensing

Author keywords

[No Author keywords available]

Indexed keywords

DYNAMICAL SYSTEMS; NEURAL NETWORKS; NEURONS; STATISTICAL PHYSICS;

EID: 85162050505     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (36)

References (20)
  • 1
    • 0020118274 scopus 로고
    • Neural networks and physical systems with emergent collective computational abilities
    • J.J. Hopfield. Neural networks and physical systems with emergent collective computational abilities. PNAS, 79(8):2554, 1982.
    • (1982) PNAS , vol.79 , Issue.8 , pp. 2554
    • Hopfield, J.J.1
  • 2
    • 0036834701 scopus 로고    scopus 로고
    • Real-time computing without stable states: A new framework for neural computation based on perturbations
    • W. Maass, T. Natschlager, and H. Markram. Real-time computing without stable states: A new framework for neural computation based on perturbations. Neural computation, 14(11):2531-2560, 2002.
    • (2002) Neural Computation , vol.14 , Issue.11 , pp. 2531-2560
    • Maass, W.1    Natschlager, T.2    Markram, H.3
  • 3
    • 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(5667):78, 2004.
    • (2004) Science , vol.304 , Issue.5667 , pp. 78
    • Jaeger, H.1    Haas, H.2
  • 4
    • 1842488370 scopus 로고    scopus 로고
    • GMD Report 152 German National Research Center for Information Technology
    • H. Jaeger. Short term memory in echo state networks. GMD Report 152 German National Research Center for Information Technology, 2001.
    • (2001) Short Term Memory in Echo State Networks
    • Jaeger, H.1
  • 5
    • 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. Lett., 92(14):148102, 2004.
    • (2004) Phys. Rev. Lett. , vol.92 , Issue.14 , pp. 148102
    • White, O.L.1    Lee, D.D.2    Sompolinsky, H.3
  • 7
    • 59749104367 scopus 로고    scopus 로고
    • From sparse solutions of systems of equations to sparse modeling of signals and images
    • A.M. Bruckstein, D.L. Donoho, and M. Elad. From sparse solutions of systems of equations to sparse modeling of signals and images. Siam Review, 51(1):34-81, 2009.
    • (2009) Siam Review , vol.51 , Issue.1 , pp. 34-81
    • Bruckstein, A.M.1    Donoho, D.L.2    Elad, M.3
  • 8
    • 85032750937 scopus 로고    scopus 로고
    • An introduction to compressive sampling
    • E. Candes and M. Wakin. An introduction to compressive sampling. IEEE Sig. Proc. Mag., 25(2):21-30, 2008.
    • (2008) IEEE Sig. Proc. Mag. , vol.25 , Issue.2 , pp. 21-30
    • Candes, E.1    Wakin, M.2
  • 9
    • 0037418225 scopus 로고    scopus 로고
    • Optimally sparse representation in general (non-orthogonal) dictionaries via l1 minimization
    • D.L. Donoho and M. Elad. Optimally sparse representation in general (non-orthogonal) dictionaries via l1 minimization. PNAS, 100:2197-2202, 2003.
    • (2003) PNAS , vol.100 , pp. 2197-2202
    • Donoho, D.L.1    Elad, M.2
  • 10
    • 31744440684 scopus 로고    scopus 로고
    • Robust uncertainty principles: Exact signal reconstruction from highly incomplete frequency information
    • E. Candes, J. Romberg, and T. Tao. Robust uncertainty principles: Exact signal reconstruction from highly incomplete frequency information. IEEE Trans. Inf. Theory, 52(2):489-509, 2006.
    • (2006) IEEE Trans. Inf. Theory , vol.52 , Issue.2 , pp. 489-509
    • Candes, E.1    Romberg, J.2    Tao, T.3
  • 11
    • 29144439194 scopus 로고    scopus 로고
    • Decoding by linear programming
    • E. Candes and T. Tao. Decoding by linear programming. IEEE Trans. Inf. Theory, 51:4203-4215, 2005.
    • (2005) IEEE Trans. Inf. Theory , vol.51 , pp. 4203-4215
    • Candes, E.1    Tao, T.2
  • 12
    • 22144488449 scopus 로고    scopus 로고
    • Sparse nonnegative solution of underdetermined linear equations by linear programming
    • D.L. Donoho and J. Tanner. Sparse nonnegative solution of underdetermined linear equations by linear programming. PNAS, 102:9446-51, 2005.
    • (2005) PNAS , vol.102 , pp. 9446-9451
    • Donoho, D.L.1    Tanner, J.2
  • 13
    • 22144471532 scopus 로고    scopus 로고
    • Neighborliness of randomly projected simplices in high dimensions
    • D.L. Donoho and J. Tanner. Neighborliness of randomly projected simplices in high dimensions. PNAS, 102:9452-7, 2005.
    • (2005) PNAS , vol.102 , pp. 9452-9457
    • Donoho, D.L.1    Tanner, J.2
  • 14
    • 72449137292 scopus 로고    scopus 로고
    • A typical reconstruction limit for compressed sensing based on l p-norm minimization
    • Y. Kabashima, T. Wadayama, and T. Tanaka. A typical reconstruction limit for compressed sensing based on l p-norm minimization. J. Stat. Mech., page L09003, 2009.
    • (2009) J. Stat. Mech.
    • Kabashima, Y.1    Wadayama, T.2    Tanaka, T.3
  • 15
    • 77952044476 scopus 로고    scopus 로고
    • Statistical mechanics of compressed sensing
    • S. Ganguli and H. Sompolinsky. Statistical mechanics of compressed sensing. Phys. Rev. Lett., 104(18):188701, 2010.
    • (2010) Phys. Rev. Lett. , vol.104 , Issue.18 , pp. 188701
    • Ganguli, S.1    Sompolinsky, H.2
  • 17
    • 84860611687 scopus 로고    scopus 로고
    • Asymptotic analysis of map estimation via the replica method and applications to compressed sensing
    • abs/0906.3234
    • S. Rangan, A.K. Fletcher, and Goyal V.K. Asymptotic analysis of map estimation via the replica method and applications to compressed sensing. CoRR, abs/0906.3234, 2009.
    • (2009) CoRR
    • Rangan, S.1    Fletcher, A.K.2    Goyal, V.K.3
  • 18
    • 73149095169 scopus 로고    scopus 로고
    • Message-passing algorithms for compressed sensing
    • D.L. Donoho, A. Maleki, and A. Montanari. Message-passing algorithms for compressed sensing. Proc. Natl. Acad. Sci., 106(45):18914, 2009.
    • (2009) Proc. Natl. Acad. Sci. , vol.106 , Issue.45 , pp. 18914
    • Donoho, D.L.1    Maleki, A.2    Montanari, A.3
  • 19
    • 41549108133 scopus 로고    scopus 로고
    • A cooperative recurrent neural network for solving l 1 estimation problems with general linear constraints
    • Y. Xia and M.S. Kamel. A cooperative recurrent neural network for solving l 1 estimation problems with general linear constraints. Neural computation, 20(3):844-872, 2008.
    • (2008) Neural Computation , vol.20 , Issue.3 , pp. 844-872
    • Xia, Y.1    Kamel, M.S.2
  • 20
    • 51849128608 scopus 로고    scopus 로고
    • Sparse coding via thresholding and local competition in neural circuits
    • C.J. Rozell, D.H. Johnson, R.G. Baraniuk, and B.A. Olshausen. Sparse coding via thresholding and local competition in neural circuits. Neural computation, 20(10):2526-2563, 2008.
    • (2008) Neural Computation , vol.20 , Issue.10 , pp. 2526-2563
    • Rozell, C.J.1    Johnson, D.H.2    Baraniuk, R.G.3    Olshausen, B.A.4


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.