ACC Coolen and D Saad, Phys. Rev. E62 (2000), 5444-5487
Dynamics
of learning with restricted training sets
NS Skantzos and ACC Coolen, J.Phys. A33 (2000), 5785-5807
1+\infty Dimensional attractor
neural networks
ACC Coolen, D Saad and YS Xiong, Europhys. Lett. 51 (2000),
691-697
On-line learning
from restricted training sets in multilayer neural networks
HC Rae, JAF Heimel and ACC Coolen, J. Phys. A33 (2000), 8703-8722
Non-deterministic learning
dynamics in large neural networks due to structural data bias
ACC Coolen and CWH Mace, in Neural Information Processing Systems
XII (2000) (MIT press), SA Solla, TK Leen, KR Mueller (Eds), 237-243
Dynamics of supervised
learning with restricted training sets and noisy teachers
NS Skantzos and ACC Coolen, J.Phys.A34 (2001), 929-942
Attractor
modulation and proliferation in 1+\infty dimensional neural networks
JI Inoue and ACC Coolen, J.Phys.A34 (2001), L401-L408
Dynamics
of on-line Hebbian learning with structurally unrealizable restricted
training sets
JAF Heimel and ACC Coolen, J.Phys.A34 (2001), 9009-9026
Supervised
learning with restricted training sets: a generating functional
analysis
ACC Coolen, in Handbook of Biophysics Vol 4 (2001) (Amsterdam:
Elsevier) 531-596
Statistical mechanics of
recurrent neural networks I: statics
ACC Coolen, in Handbook of Biophysics Vol 4 (2001) (Amsterdam:
Elsevier) 597-662
Statistical mechanics of
recurrent neural networks II: dynamics
T Uezu and ACC Coolen, J.Phys.A35 (2002), 2761-2809
Hierarchical
self-programming in recurrent neural networks
ACC Coolen and V Del Prete, Rev. Neurosci. 14 (2003),
181-193
Statistical
mechanics beyond the Hopfield model: solvable problems in neural
network theory
JPL Hatchet JPL and ACC Coolen, J.Phys.A37 (2004)
7199-7212
Asymmetrically
Extremely Dilute Neural Networks with Langevin Dynamics and
Unconventional Results
B Wemmenhove, NS Skantzos and ACC Coolen, J.Phys.A37 (2004)
7653-7670
Slowly
Evolving Connectivity in Recurrent Neural Networks I: The Extreme
Dilution Regime