On the BrainStateinaConvexDomain Neural Models

 VARGA Ildiko
 Purdue University

 ELEK Gabor
 Purdue University

 ZAK Stanislaw H.
 Purdue University
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Author(s)

 VARGA Ildiko
 Purdue University

 ELEK Gabor
 Purdue University

 ZAK Stanislaw H.
 Purdue University
Journal

 Neural networks : the official journal of the International Neural Network Society

Neural networks : the official journal of the International Neural Network Society 9(7), 11731184, 19961001
References: 18

1
 The BSB model: A simple nonlinear autoassociative neural network

ANDERSON J. A.
Associative neural memories; theory and implementation, 77103, 1993
Cited by (2)

2
 Distinctive features, categorical perception, probability learning: some applications of a neural model

ANDERSON J. A.
Neurocomputing; foundations of research, 283325, 1977
Cited by (2)

3
 <no title>

BERMAN A.
Nonnegative matrices in the mathematical sciences, 1994
Cited by (1)

4
 <no title>

GANTMACHER F. R.
Applications of the Theory of Matrices, 1959
Cited by (2)

5
 <no title>

GEL'FAND I. M.
Lectures on linear algebra, 1961
Cited by (1)

6
 <no title>

HAYKIN S.
Neural NetworksA Comprehensive Foundation, 1994
Cited by (67)

7
 Dynamics and stability of the BrainStateinaBox (BSB) neural models.

HUI S.
Associative neural memories; theory and implementation, 212224, 1993
Cited by (3)

8
 <no title>

LASALLE J. P
The stability and control of discrete processes, 1986
Cited by (2)

9
 <no title>

LUENBERGER D. G.
Introduction to dynamic systems; theory, models, and applications, 1979
Cited by (1)

10
 Brain state in a convex body

BOHNER M.
IEEE Trans. on Neural Networks 6(5), 10531060, 1995
Cited by (2)

11
 Absolute stability of global pattern formation and parallel memory storage by competitive neural networks

COHEN M. C.
IEEE Transactions on Systems, Man, and Cybernetics SMC13, 815826, 1983
Cited by (46)

12
 The brainstateinabox neural model is a gradient decent algorithm

GOLDEN R. M.
J. Math. Psychology 30, 7380, 1986
DOI Cited by (5)

13
 Stability and optimization analysis of the generalized BrainStateinaBox neural network model

GOLDEN R. M.
Journal of Mathematical Psychology 37, 282298, 1993
DOI Cited by (4)

14
 Equilibria of the BrainStateinaBox (BSB) neural model

GREENBERG H. J.
Neural Networks 1, 323324, 1988
Cited by (3)

15
 Dynamical analysis of the BrainStateinaBox (BSB) neural models

HUI S.
IEEE Transactions on Neural Networks 3(1), 8694, 1992
Cited by (5)

16
 Analysis and synthesis of a class of neural networks : Linear systems operating on a closed hypercube

LI J. H.
IEEE Trans. Circuits Syst. 36, 14051422, 1989
Cited by (11)

17
 Dynamics of iteratedmap neural networks

MARCUS C. M.
Phys. Rev. A. 40(1), 501504, 1989
Cited by (7)

18
 Collective recall via the BrainStateinaBox network

SCHULTZ A.
IEEE Transactions on Neural Networks 4(4), 580587, 1993
Cited by (1)