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Selected papers on neural learning algorithms

Ruiz de Angulo V. and Torras C.: "Neural learning methods yielding functional invariance". Theoretical Computer Science, vol. 320, no. 1, pp. 111-121, June 2004.


Ruiz de Angulo V. and Torras C.
: "A deterministic algorithm that emulates learning with random weights". Neurocomputing, vol. 48, no. 1-4, pp. 975-1002, Oct. 2002.


Ruiz de Angulo V. and Torras C.
: "Sequential learning in feedforward networks: proactive and retroactive interference minimization". Proc. Intl. Conf. on Artificial Neural Networks (ICANN-2002), Madrid, Spain, Lecture Notes in Computer Science 2415, pp. 1339-1344, Aug. 2002.


Torras C.
: "Artificial Intelligence and Neural Networks: Guest Editor's Introduction". Intl. Journal of Computational Intelligence and Applications, vol. 1, no. 4, pp. iii-v, Dec. 2001.


Ruiz de Angulo V. and Torras C.
: "Neural learning invariant to network size changes (and 2)". Proc. Intl. Conf. on Artificial Neural Networks (ICANN'01), Vienna, Austria, Lecture Notes in Computer Science 2130, pp. 33-40, Aug. 2001.


Ruiz de Angulo V. and Torras C.
: "Architecture-independent approximation of functions". Neural Computation, vol. 13, no. 5, pp. 1119-1135, May 2001.


Ruiz de Angulo V. and Torras C.
: "A framework to deal with interference in connectionist systems". AI Communications, vol. 13, no. 4, pp. 259-274, 2000.


Ruiz de Angulo V. and Torras C.
: "Learning of nonstationary processes". In "Neural Network Systems, Techniques and Applications", Vol. 2: "Optimization Techniques", edited by C.T. Leondes, pp. 175-207, Series in "Advances in Control and Dynamic Systems", Academic Press, 1998.


Ruiz de Angulo V. and Torras C.
: "On-line learning with minimal degradation in feed-forward networks". IEEE Trans. on Neural Networks, vol. 6, no. 3, pp. 657-668, May 1995.


Ruiz de Angulo V. and Torras C.
: "Random weights and regularization". Proc. Intl. Conf. on Artificial Neural Networks (ICANN'94), Sorrento, May 1994.


Ruiz de Angulo V. and Torras C.
: "Minimally Disturbing Learning". Proc. Intl. Workshop on Artificial Neural Networks (IWANN'91), pp. 162-172, Granada, Sept. 1991.


Torras C.
: "Neuronal Oscillators: Experiments and Models". In "Statistical Mechanics and Neural Networks", edited by L. Garrido, Lecture Notes in Physics, pp. 65-79, Springer-Verlag, 1990.


Torras C.
: "Exploring three possibilities in network design: Spontaneous node activity, node plasticity and temporal coding". In "Neural Computers", edited by R. Eckmiller and C. von der Malsburg, pp. 301-310, Springer-Verlag, 1988.


Torras C.
: "On the relationship between two models of neural entrainment". Biological Cybernetics, vol. 57, no. 4-5, pp. 313-319, 1987.


Torras C.
: "Neural network model with rhythm assimilation capacity". IEEE Transactions on Systems, Man and Cybernetics, vol. 16, no. 5, pp. 680-693, Sept/Oct. 1986.


Torras C.
: "Entrainment in pacemakers characterized by a V-shaped PRC". Journal of Mathematical Biology, vol. 24, pp. 291-312, 1986.


Torras C.
: "Pacemaker neuron model with plastic firing rate: Entrainment and learning ranges". Biological Cybernetics, vol. 52, no. 2, pp. 79-91, 1985.


Book

Torras C.: "Temporal-Pattern Learning in Neural Models". Lecture Notes in Biomathematics 63. Berlin Heidelberg New York: Springer-Verlag, 1985.