Daniel L. Alkon

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Dynamically stable associative learning: a neurobiologically based ANN and its applications

Thomas P. Vogl, Kim L. Blackwell, Garth S. Barbour, 1992, Defense, Security, and Sensing.

Processing temporal sequences with a biologically-based artificial network

Lipo Wang, Daniel L. Alkon, D. Alkon, 1993 .

Biological plausibility of artificial neural networks: learning by non-Hebbian synapses

Kim T. Blackwell, Thomas P. Vogl, Daniel L. Alkon, 1993 .

Classification of handwritten digits and Japanese Kanji

Garth S. Barbour, Daniel L. Alkon, S. D. Hyman, 1991, IJCNN-91-Seattle International Joint Conference on Neural Networks.

Cellular Mechanisms of Classical Conditioning

Bernard G. Schreurs, Daniel L. Alkon, D. Alkon, 2002 .

Computer Modeling of Associative Learning

Francis K. H. Quek, Thomas P. Vogl, Daniel L. Alkon, 1988, NIPS.

Computational Hermissenda Photoarray Model

Kim T. Blackwell, Thomas P. Vogl, Daniel L. Alkon, 1994 .

Dystal: a self-organizing ANN with pattern independent training time

Thomas P. Vogl, Daniel L. Alkon, K. L. Blackwell, 1992, [Proceedings 1992] IJCNN International Joint Conference on Neural Networks.

Artificial neural networks - oscillations, chaos, and sequence processing

Lipo Wang, Daniel L. Alkon, D. Alkon, 1993 .

An artificial neural network system for temporal-spatial sequence processing

Lipo Wang, Daniel L. Alkon, D. Alkon, 1995, Pattern Recognit..

Biological plausibility of synaptic associative memory models

Kim T. Blackwell, Thomas P. Vogl, Garth S. Barbour, 1994, Neural Networks.

Neural principles of associative learning: Reconstruction of ionic currents in the type B photoreceptor

Shiro Usui, Hidetoshi Ikeno, Daniel L. Alkon, 1988, Neural Networks.

A new approach to hand-written character recognition

Kim T. Blackwell, Thomas P. Vogl, Garth S. Barbour, 1992, Pattern Recognit..

Identification of faces obscured by noise: comparison of an artificial neural network with human observers

Michael A. Brown, Kim T. Blackwell, Thomas P. Vogl, 1997, J. Exp. Theor. Artif. Intell..

Self-Organization of Cortical Information Processing

Kim T. Blackwell, Thomas P. Vogl, Daniel L. Alkon, 2018 .

Classification of Japanese Kanji using principal component analysis as a preprocessor to an artificial neural network

Kim T. Blackwell, Thomas P. Vogl, Garth S. Barbour, 1991, IJCNN-91-Seattle International Joint Conference on Neural Networks.

Associative learning in a network model of Hermissenda crassicornis

Kim T. Blackwell, Thomas P. Vogl, Daniel L. Alkon, 2004, Biological Cybernetics.

Effects of noise in training patterns on the diluted Hopfield neural network

Lipo Wang, Daniel L. Alkon, D. Alkon, 1993 .

Conservation of Cellular Mechanisms for Models of Learning and Memory

Daniel L. Alkon, D. Alkon, 1988 .

Orange Juice Classification with a Biologically Based Neural Network

Kim T. Blackwell, Thomas P. Vogl, Garth S. Barbour, 1996, Comput. Chem..

Calexcitin-like immunoreactivity in the pond snail Lymnaea stagnalis

Etsuro Ito, Daniel L. Alkon, Thomas J. Nelson, 2004 .

Responses of Photoreceptors in Hermissenda

Daniel L. Alkon, M. Fuortes, D. Alkon, 1972, The Journal of general physiology.

The interstimulus interval and classical conditioning in the marine snail Hermissenda crassicornis

Daniel L. Alkon, D. Alkon, I. Lederhendler, 1989, Behavioural Brain Research.

Cellular Mechanisms of Conditioning and Behavioral Plasticity

Daniel L. Alkon, James L. McGaugh, Charles D. Woody, 1988, Springer US.

US-US conditioning of the rabbit’s nictitating membrane response: Emergence of a conditioned response without alpha conditioning

Bernard G. Schreurs, Daniel L. Alkon, D. Alkon, 1990, Psychobiology.

Molecular mechanisms of associative memory and their clinical implications

Daniel L. Alkon, D. Alkon, 1995, Behavioural Brain Research.

Extinction of associative learning in Hermissenda: Behavior and neural correlates

Daniel L. Alkon, Joseph Farley, D. Alkon, 1984, Behavioural Brain Research.

Associative learning in a network model of Hermissenda crassicornis

Kim T. Blackwell, Thomas P. Vogl, Daniel L. Alkon, 2004, Biological Cybernetics.

Bryostatin Effects on Cognitive Function and PKCɛ in Alzheimer’s Disease Phase IIa and Expanded Access Trials

Daniel L. Alkon, Thomas J. Nelson, D. Alkon, 2017, Journal of Alzheimer's disease : JAD.

Primary neural substrates of learning and behavioral change

Daniel L. Alkon, Joseph Farley, D. Alkon, 1984 .

Sequential changes of potassium currents in Hermissenda Type B photoreceptor during early stages of classical conditioning

Daniel L. Alkon, Carlos Collin, D. Alkon, 1990, Neuroscience Letters.

Calcium responses in human fibroblasts: A diagnostic molecular profile for Alzheimer's disease

Daniel L. Alkon, Giuliano Binetti, Marco Racchi, 1996, Neurobiology of Aging.

Calexcitin transformation of GABAergic synapses: from excitation filter to amplifier.

Daniel L. Alkon, Thomas J. Nelson, D. Alkon, 1999, Proceedings of the National Academy of Sciences of the United States of America.

Memory Traces in the Brain

Daniel L. Alkon, D. Alkon, 1987 .

Lateralization of membrane-associated protein kinase C in rat piriform cortex: Specific to operant training cues in the olfactory modality

James M. Bower, Upinder S. Bhalla, Daniel L. Alkon, 1994, Behavioural Brain Research.

Cellular mechanisms of calcium elevation involved in long term memory

Kim T. Blackwell, Thomas P. Vogl, Daniel L. Alkon, 1998 .