Neural networks that learn to predict probabilities: Global models of nuclear stability and decay. - Klaus A. Gernoth; John W. Clark 001 (Neural Networks, 1995)

Harmonic analysis of spiking neuronal pairs. - Charles H. Anderson; Qingfeng Huang; John W. Clark 001 (Neurocomputing, 2000)

Neural Representation of Probabilistic Information. - Michael J. Barber; John W. Clark 001; Charles H. Anderson (Neural Comput., 2003)

Decoding Beta-Decay Systematics: A Global Statistical Model for Beta^- Halflives - N. J. Costiris; E. Mavrommatis; Klaus A. Gernoth; John W. Clark 001 (CoRR, 2008)

Designing neural networks that process mean values of random variables - Michael J. Barber; John W. Clark 001 (CoRR, 2010)

Motion processing with wide-field neurons in the retino-tecto-rotundal pathway. - Babette Dellen; Ralf Wessel; John W. Clark 001; Florentin Wörgötter (J. Comput. Neurosci., 2010)

Breast Cancer Diagnosis by Higher-Order Probabilistic Perceptrons. - Aditya Cowsik; John W. Clark 001 (CoRR, 2019)

Predicting nuclear masses with product-unit networks. - Babette Dellen; Uwe Jaekel; Paulo S. A. Freitas; John W. Clark 001 (CoRR, 2023)