 | 2004 |
| 13 |  | Valeria Del Prete,
Anthony C. C. Coolen:
Non-equilibrium statistical mechanics of recurrent networks with realistic neurons.
Neurocomputing 58-60: 239-244 (2004) |
| 1999 |
| 12 |  | Laura Viana,
Arnulfo Castellanos,
Anthony C. C. Coolen:
Finite Size Effects in Neural Networks.
IWANN (1) 1999: 393-400 |
| 11 |  | Anthony C. C. Coolen,
C. W. H. Mace:
Dynamics of Supervised Learning with Restricted Training Sets and Noisy Teachers.
NIPS 1999: 237-243 |
| 1998 |
| 10 |  | Anthony C. C. Coolen,
David Saad:
Dynamics of Supervised Learning with Restricted Training Sets.
NIPS 1998: 197-203 |
| 9 |  | A. Düring,
Anthony C. C. Coolen,
D. Sherrington:
Phase Diagram and Storage Capacity of Sequence-Storing Neural Networks.
NIPS 1998: 211-217 |
| 8 |  | H. C. Rae,
Peter Sollich,
Anthony C. C. Coolen:
On-Line Learning with Restricted Training Sets: Exact Solution as Benchmark for General Theories.
NIPS 1998: 316-322 |
| 7 |  | N. S. Skantzos,
C. F. Beckmann,
Anthony C. C. Coolen:
Discontinuous Recall Transitions Induced by Competition Between Short- and Long-Range Interactions in Recurrent Networks.
NIPS 1998: 337-345 |
| 1997 |
| 6 |  | Anthony C. C. Coolen,
Laura Viana:
Competition Between Feed-Forward and Lateral Information Processing in Layered Neural Networks.
IWANN 1997: 257-264 |
| 1995 |
| 5 |  | Anthony C. C. Coolen,
S. N. Laughton,
D. Sherrington:
Modern Analytic Techniques to Solve the Dynamics of Recuurent Neural Networks.
NIPS 1995: 253-259 |
| 1993 |
| 4 |  | Anthony C. C. Coolen,
R. W. Penney,
D. Sherrington:
Coupled Dynamics of Fast Neurons and Slow Interactions.
NIPS 1993: 447-454 |
| 1992 |
| 3 |  | Anthony C. C. Coolen,
Andre J. Noest,
G. B. de Vries:
The Modelling of Chemical Modulation in Neural Networks.
Int. J. Neural Syst. 3(Supplement): 149-161 (1992) |
| 1989 |
| 2 |  | Anthony C. C. Coolen,
J. J. Denier van der Gon:
Evolution Equations for Neural Networks with Arbitrary Spatial Structure: The Onset of Order.
IAS 1989: 89-99 |
| 1 |  | Anthony C. C. Coolen,
F. W. Kuijk:
A learning mechanism for invariant pattern recognition in neural networks.
Neural Networks 2(6): 495-506 (1989) |