메뉴 건너뛰기




Volumn 2011, Issue 3, 2011, Pages

Dynamical TAP equations for non-equilibrium Ising spin glasses

Author keywords

disordered systems (theory); spin glasses (theory); stochastic processes (theory)

Indexed keywords


EID: 79953681664     PISSN: 17425468     EISSN: 17425468     Source Type: Journal    
DOI: 10.1088/1742-5468/2011/03/P03031     Document Type: Article
Times cited : (48)

References (22)
  • 3
    • 0001051762 scopus 로고
    • Convergence condition of the tap equation for the infinite-ranged Ising spin glass model
    • Plefka T 1982 Convergence condition of the tap equation for the infinite-ranged Ising spin glass model J. Phys. A: Math. Gen. 15 1971
    • (1982) J. Phys. A: Math. Gen. , vol.15 , Issue.6 , pp. 1971
    • Plefka, T.1
  • 4
    • 0002183265 scopus 로고
    • Dynamic theory of the spin-glass phase
    • Sompolinsky H and Zippelius A 1981 Dynamic theory of the spin-glass phase Phys. Rev. Lett. 47 359
    • (1981) Phys. Rev. Lett. , vol.47 , Issue.5 , pp. 359
    • Sompolinsky, H.1    Zippelius, A.2
  • 5
    • 0007025762 scopus 로고
    • Path-integral approach to Ising spin-glass dynamics
    • Sommers H J 1987 Path-integral approach to Ising spin-glass dynamics Phys. Rev. Lett. 58 1268
    • (1987) Phys. Rev. Lett. , vol.58 , Issue.12 , pp. 1268
    • Sommers, H.J.1
  • 7
    • 0013109817 scopus 로고
    • Dynamics of spin systems with randomly asymmetric bonds: Ising spins and glauber dynamics
    • Crisanti A and Sompolinsky H 1988 Dynamics of spin systems with randomly asymmetric bonds: Ising spins and glauber dynamics Phys. Rev. A 37 4865
    • (1988) Phys. Rev. , vol.37 , Issue.12 , pp. 4865
    • Crisanti, A.1    Sompolinsky, H.2
  • 8
    • 0001584331 scopus 로고
    • Dynamics of fully connected attractor neural networks near saturation
    • Coolen A C C and Sherrington D 1993 Dynamics of fully connected attractor neural networks near saturation Phys. Rev. Lett. 71 3886
    • (1993) Phys. Rev. Lett. , vol.71 , Issue.23 , pp. 3886
    • Coolen, A.C.C.1    Sherrington, D.2
  • 12
    • 0033520898 scopus 로고    scopus 로고
    • Dynamical tap approach to mean field glassy systems
    • Biroli G 1999 Dynamical tap approach to mean field glassy systems J. Phys. A: Math. Gen. 32 8365
    • (1999) J. Phys. A: Math. Gen. , vol.32 , Issue.48 , pp. 8365
    • Biroli, G.1
  • 13
    • 0034180315 scopus 로고    scopus 로고
    • Mean field theory for asymmetric neural networks
    • Kappen H J and Spanjers J J 2000 Mean field theory for asymmetric neural networks Phys. Rev. E 61 5658
    • (2000) Phys. Rev. , vol.61 , Issue.5 , pp. 5658
    • Kappen, H.J.1    Spanjers, J.J.2
  • 14
    • 35548985891 scopus 로고    scopus 로고
    • Using the principle of entropy maximization to infer genetic interaction networks from gene expression patterns
    • Lezon T R, Banavar J R, Cieplak M, Maritan A and Fedoroff N 2006 Using the principle of entropy maximization to infer genetic interaction networks from gene expression patterns Proc. Nat. Acad. Sci. 103 19033
    • (2006) Proc. Nat. Acad. Sci. , vol.103 , Issue.50 , pp. 19033
    • Lezon, T.R.1    Banavar, J.R.2    Cieplak, M.3    Maritan, A.4    Fedoroff, N.5
  • 15
    • 58549114185 scopus 로고    scopus 로고
    • Identification of direct residue contacts in protein-protein interaction by message passing
    • Weigt M, White R A, Szurmant H, Hoch J A and Hwa T 2009 Identification of direct residue contacts in protein-protein interaction by message passing Proc. Nat. Acad. Sci. 106 67
    • (2009) Proc. Nat. Acad. Sci. , vol.106 , Issue.1 , pp. 67
    • Weigt, M.1    White, R.A.2    Szurmant, H.3    Hoch, J.A.4    Hwa, T.5
  • 16
    • 69549122188 scopus 로고    scopus 로고
    • Neuronal couplings between retinal ganglion cells inferred by efficient inverse statistical physics methods
    • Cocco S, Leibler S and Monasson R 2009 Neuronal couplings between retinal ganglion cells inferred by efficient inverse statistical physics methods Proc. Nat. Acad. Sci. 106 14058
    • (2009) Proc. Nat. Acad. Sci. , vol.106 , Issue.33 , pp. 14058
    • Cocco, S.1    Leibler, S.2    Monasson, R.3
  • 17
    • 67549115079 scopus 로고    scopus 로고
    • Ising model for neural data: Model quality and approximate methods for extracting functional connectivity
    • Roudi Y, Tyrcha J and Hertz J 2009 Ising model for neural data: model quality and approximate methods for extracting functional connectivity Phys. Rev. E 79 051915
    • (2009) Phys. Rev. , vol.79 , Issue.5 , pp. 051915
    • Roudi, Y.1    Tyrcha, J.2    Hertz, J.3
  • 18
    • 79251468767 scopus 로고    scopus 로고
    • Mean field theory for nonequilibrium network reconstruction
    • Roudi Y and Hertz J 2011 Mean field theory for nonequilibrium network reconstruction Phys. Rev. Lett. 106 048702
    • (2011) Phys. Rev. Lett. , vol.106 , Issue.4 , pp. 048702
    • Roudi, Y.1    Hertz, J.2
  • 21
    • 0001000562 scopus 로고    scopus 로고
    • Efficient learning in boltzmann machines using linear response theory
    • Kappen H J and Rodriguez F B 1998 Efficient learning in boltzmann machines using linear response theory Neur. Comput. 10 1137
    • (1998) Neur. Comput. , vol.10 , Issue.5 , pp. 1137
    • Kappen, H.J.1    Rodriguez, F.B.2
  • 22
    • 0001143296 scopus 로고    scopus 로고
    • Mean-field theory of Boltzmann machine learning
    • Tanaka T 1998 Mean-field theory of Boltzmann machine learning Phys. Rev. E 58 2302
    • (1998) Phys. Rev. , vol.58 , Issue.2 , pp. 2302
    • Tanaka, T.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.