@article{ISI:000179532800016,
 abstract = {Neural network models of associative memory exhibit a large number of
spurious attractors of the network dynamics which are not correlated
with any memory state. These spurious attractors, analogous to
``glassy″ local minima of the energy or free energy of a system of
particles, degrade the performance of the network by trapping
trajectories starting from states that are not close to one of the
memory states. Different methods for reducing the adverse effects of
spurious attractors are examined with emphasis on the role of synaptic
asymmetry. (C) 2002 Elsevier Science B.V. All rights reserved.},
 article-number = {PII S0378-4371(02)01246-3},
 author = {Dasgupta, C},
 doi = {10.1016/S0378-4371(02)01246-3},
 eissn = {1873-2119},
 issn = {0378-4371},
 journal = {PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS},
 month = {NOV 15},
 note = {International Symposium on Slow Dynamical Processes in Nature, SEOUL,
SOUTH KOREA, NOV 25-27, 2001},
 number = {1-2},
 orcid-numbers = {Dasgupta, Chandan/0000-0002-0302-1881},
 pages = {137-149},
 times-cited = {1},
 title = {Glassy behavior in neural network models of associative memory},
 unique-id = {ISI:000179532800016},
 volume = {315},
 year = {2002}
}