Efficient architectures for sparsely-connected high capacity associative memory models

References

• Bohland , J. and Minai , A. 2001 . Efficient Associative Memory Using Small-World Architecture . Neurocomputing , : 489 – 496 . 38–40
   Google Scholar
• Braitenberg , V. and Schüz , A. 1998 . Cortex: Statistics and Geometry of Neuronal Connectivity , Berlin : Springer-Verlag .
   Google Scholar
• Buzsaki , G. , Geisler , C. , Henze , D. A. and Wang , X.-J. 2004 . Interneuron Diversity series: Circuit complexity and axon wiring economy of cortical interneurons . Trends Neurosci. , 27 : 186
   PubMedGoogle Scholar
• Calcraft , L. 2005 . Measuring the Performance of Associative Memories . Report Number 420 University of Hertfordshire
   Google Scholar
• Calcraft , L. , Adams , R. and Davey , N. 2006 . Locally-connected and small-world associative memories in large networks . Neural Information Processing - Letters and Reviews , 10 : 19 – 26 .
   Google Scholar
• Chen , B. L. , Hall , D. H. and Chklovskii , D. B. 2006 . Wiring optimization can relate neuronal structure and function . Proc. Natl. Acad. Sci. , 103 : 4723 – 4728 .
   PubMed Web of Science ®Google Scholar
• da Fontoura Costa , L. and Stauffer , D. 2003 . Associative recall in non-randomly diluted neuronal networks . Physica A: Stat. Mech. Appl. , 330 : 37
   Google Scholar
• Davey , N. , Calcraft , L. and Adams , R. 2006 . High capacity, small-world associative memory models . Connect. Sci. , 18 : 247
   Web of Science ®Google Scholar
• Hellwig , B. 2000 . A quantitative analysis of the local connectivity between pyramidal neurons in layers 2/3 of the rat visual cortex . Biol. Cybern. , 82 : 111
   PubMed Web of Science ®Google Scholar
• Hertz , J. , Krogh , A. and Palmer , R. G. 1991 . Introduction to the Theory of Neural Computation , Redwood City, CA : Addison-Wesley Publishing Company .
   Google Scholar
• Horn , D. , Levy , N. and Ruppin , E. 1999 . Associative Memory in a Multimodular Network . Neural Comput. , 11 : 1717 – 1737 .
   PubMedGoogle Scholar
• Kosinski , R. A. and Sinolecka , M. M. 1999 . Memory Properties of Artificial Neural Networks with different types of dilutions and damages . Acta Phsica Polonica B , 30 : 2589 – 2594 .
   Google Scholar
• McGraw , P. and Menzinger , M. 2003 . Topology and computational performance of attractor neural networks . Phys. Rev. E , 68 : 047102
   Google Scholar
• Morelli , L. G. , Abramson , G. and Kuperman , M. N. 2004 . Associative Memory on a small-world neural network . Eur. Phys. J. B , 38 : 495 – 500 . 2004
   Web of Science ®Google Scholar
• Perez Castillo , I. , Wemmenhove , B. , Hatchett , J. P.L. , Coolen , A. C.C. , Skantzos , N. S. and Nikoletopoulos , T. 2004 . Analytic solution of attractor neural networks on scale-free graphs . J. Physics A, Math. Gen. , 37 : 8789
   Google Scholar
• Renart , A. , Parga , N. and Rolls , E. T. 1999 . Associative memory properties of multiple cortical modules . Netw., Comput. Neural Syst. , 10 : 237 – 255 .
   PubMed Web of Science ®Google Scholar
• Stauffer , D. , Aharony , A. , da Fontoura Costa , L. and Adler , J. 2003 . Efficient Hopfield pattern recognition on a scale-free neural network . Eur. Phys. J.B , 32 : 395 – 399 .
   Google Scholar
• Torres , J. J. , Munoz , M. A. , Marro , J. and Garrido , P. L. 2004 . Influence of topology on the performance of a neural network . Neurocomputing , : 229 – 234 . 58–60
   Google Scholar
• Watts , D. and Strogatz , S. 1998 . Collective Dynamics of ‘small-world’ networks . Nature , 393 : 440 – 442 .
   PubMed Web of Science ®Google Scholar