NOISE-DRIVEN TEMPORAL ASSOCIATION IN NEURAL NETWORKS

[1] SPIN-GLASS MODELS OF NEURAL NETWORKS [J]. PHYSICAL REVIEW A, 1985, 32 (02): : 1007 - 1018

[2] INFORMATION-STORAGE IN NEURAL NETWORKS WITH LOW-LEVELS OF ACTIVITY [J]. PHYSICAL REVIEW A, 1987, 35 (05) : 2293 - 2303

[3] STORING INFINITE NUMBERS OF PATTERNS IN A SPIN-GLASS MODEL OF NEURAL NETWORKS [J]. PHYSICAL REVIEW LETTERS, 1985, 55 (14) : 1530 - 1533

[4] BUHMANN J, 1985, THESIS TU MUNCHEN

[5] BUHMANN J, THESIS TU MUNCHEN

[6] NEURAL NETWORKS THAT LEARN TEMPORAL SEQUENCES BY SELECTION [J]. PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA, 1987, 84 (09) : 2727 - 2731

[7] NEURONS WITH GRADED RESPONSE HAVE COLLECTIVE COMPUTATIONAL PROPERTIES LIKE THOSE OF 2-STATE NEURONS [J]. PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA-BIOLOGICAL SCIENCES, 1984, 81 (10): : 3088 - 3092

[8] NEURAL NETWORKS AND PHYSICAL SYSTEMS WITH EMERGENT COLLECTIVE COMPUTATIONAL ABILITIES [J]. PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA-BIOLOGICAL SCIENCES, 1982, 79 (08): : 2554 - 2558

[9] LEARNING AND PATTERN-RECOGNITION IN SPIN-GLASS MODELS [J]. ZEITSCHRIFT FUR PHYSIK B-CONDENSED MATTER, 1985, 60 (2-4): : 205 - 213

[10] SEQUENTIAL STATE GENERATION BY MODEL NEURAL NETWORKS [J]. PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA, 1986, 83 (24) : 9469 - 9473

[1] SPIN-GLASS MODELS OF NEURAL NETWORKS [J]. PHYSICAL REVIEW A, 1985, 32 (02): : 1007 - 1018

[2] INFORMATION-STORAGE IN NEURAL NETWORKS WITH LOW-LEVELS OF ACTIVITY [J]. PHYSICAL REVIEW A, 1987, 35 (05) : 2293 - 2303

[3] STORING INFINITE NUMBERS OF PATTERNS IN A SPIN-GLASS MODEL OF NEURAL NETWORKS [J]. PHYSICAL REVIEW LETTERS, 1985, 55 (14) : 1530 - 1533

[4] BUHMANN J, 1985, THESIS TU MUNCHEN

[5] BUHMANN J, THESIS TU MUNCHEN

[6] NEURAL NETWORKS THAT LEARN TEMPORAL SEQUENCES BY SELECTION [J]. PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA, 1987, 84 (09) : 2727 - 2731

[7] NEURONS WITH GRADED RESPONSE HAVE COLLECTIVE COMPUTATIONAL PROPERTIES LIKE THOSE OF 2-STATE NEURONS [J]. PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA-BIOLOGICAL SCIENCES, 1984, 81 (10): : 3088 - 3092

[8] NEURAL NETWORKS AND PHYSICAL SYSTEMS WITH EMERGENT COLLECTIVE COMPUTATIONAL ABILITIES [J]. PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA-BIOLOGICAL SCIENCES, 1982, 79 (08): : 2554 - 2558

[9] LEARNING AND PATTERN-RECOGNITION IN SPIN-GLASS MODELS [J]. ZEITSCHRIFT FUR PHYSIK B-CONDENSED MATTER, 1985, 60 (2-4): : 205 - 213

[10] SEQUENTIAL STATE GENERATION BY MODEL NEURAL NETWORKS [J]. PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA, 1986, 83 (24) : 9469 - 9473