@article{ISI:000086510400006,
 abstract = {The process of pattern retrieval in a Hopfield model in which a random
antisymmetric component is added to the otherwise symmetric synaptic
matrix is studied by computer simulations. The introduction of the
antisymmetric component is found to increase the fraction of random
inputs that converge to the memory states. However, the size of the
basin of attraction of a memory state does not show any significant
change when asymmetry is introduced in the synaptic matrix. We show that
this is due to the fact that the spurious fixed points, which are
destabilized by the introduction of asymmetry, have very small basins of
attraction. The convergence time to spurious fixed-point attractors
increases faster than that for the memory states as the asymmetry
parameter is increased. The possibility of convergence to spurious fixed
points is greatly reduced if a suitable upper limit is set for the
convergence time. This prescription works better if the synaptic matrix
has an antisymmetric component.},
 author = {Zhang, CX and Dasgupta, C and Singh, MP},
 doi = {10.1162/089976600300015628},
 eissn = {1530-888X},
 issn = {0899-7667},
 journal = {NEURAL COMPUTATION},
 month = {APR},
 number = {4},
 orcid-numbers = {Dasgupta, Chandan/0000-0002-0302-1881},
 pages = {865-880},
 times-cited = {6},
 title = {Retrieval properties of a Hopfield model with random asymmetric
interactions},
 unique-id = {ISI:000086510400006},
 volume = {12},
 year = {2000}
}