Philosophy:
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Patent Awarded
Patent No. 5,216,752. Interspike interval decoding neural network. Issue Date: June 1, 1993.
2007
Tam, D. C. (2007) Theoretical Analysis of Cross-Correlation of Time-Series Signals Computed by a Time-Delayed Hebbian Associative Learning Neural Network. The Open Cybernetics and Systemics Journal, 1: 1-4
2004
Tam, D. C. (2004) Computational Efficiency of Hexagonal Arrays in Compound Eyes. Neurocomputing, 58-60: 1073-1078.
2003
Tam, D. C. (2003) Real-Time Estimation of Predictive Firing Rate. Neurocomputing. Neurocomputing, 52-54: 637-641.
2002
Tam, D. C. (2002) A spike train analysis for quantifying inhibitory near synchrony in spike firings. Neurocomputing, 44-46 (C): 1149-1153. [Article in PDF format]
Tam, D. C. (2002) An alternate burst analysis for detecting intra-burst firings based on inter-burst periods. Neurocomputing, 44-46 (C): 1155-1159. [Article in PDF format]
2001
Tam, D. C. (2001) A multi-unit spike train analysis for quantifying phase-relationships of near-synchrony firings. Neurocomputing. 38:40: 945-949. [Article in PDF format]
Tam, D. C. (2001) A spike train analysis for correlating burst firings in neurons.
Neurocomputing. 38-40: 951-955. [Article in PDF format]
Zouridakis, G. and Tam, D. C. (2000)
Identification of reliable spike templates in multi-unit extracellular recordings using fuzzy clustering.
Computer Methods and Programs in Biomedicine. 61: 91-98.
[Article in PDF format (152K)]
Fitzurka, M. A. and Tam, D. C. (1999) A joint interspike interval difference stochastic spike train analysis: detecting local trends in the temporal firing patterns of single neurons. Biological Cybernetics. 80: 309-326. [Article in PDF format (1313K)]
Tam, D. C. (1999) A spike train analysis for detecting temporal integration in neurons. Neurocomputing. 26-27: 1055-1060. [Article in PDF format (231K)]
Tam, D. C. (1999) Spike train analysis for detecting oscillations and synchronous firing among neurons in networks. In: Oscillations in Neural Systems. (D. S. Levin, V. R. Brown and V. T. Shirey, eds.) Lawrence Erlbaum Assoc. Pub., Mahwah, NJ. pp. 31-49.
Tam, D. C. (1998) A cross-interval spike train analysis: the correlation between spike generation and temporal integration of doublets. Biological Cybernetics. 78: 95-106. [Article in PDF format (464K)]
Tam, D. C. (1998) Regularity in spike firing with random inputs detected by
method extracting contribution of remporal integration of a pair of incoming
spikes to the firing of a neuron. In: Computational Neuroscience: Trends in
Research. (J. M. Bower, eds.) Plenum Pub., San Diego, CA. pp. 633-638.
Zouridakis, G. and Tam, D. C. (1997) Multi-unit spike discrimination using wavelet transforms. Computers in Biology and Medicine. 27: 9-18. [Article in PDF format (541K)]
Tam, D. C. and Fitzurka, M. A. (1997) Inter-arrival time spike train analyses for detecting spatial and temporal summation in neurons. In: Computational Neuroscience: Trends in Research. (J. M. Bower, eds.) Plenum Pub., San Diego, CA. pp.189-195.
Fitzurka, M. A. and Tam, D. C. (1997) A joint cross interval difference analysis for detecting coupling trends between neurons. In: Computational Neuroscience: Trends in Research. (J. M. Bower, eds.) Plenum Pub., San Diego, CA. pp. 299-303.
Fitzurka, M. A. and Tam, D. C. (1997) Hybrid analyses of neuronal spike train data for pre-and post-cross intervals in relation to interspike interval differences. In: Computational Neuroscience: Trends in Research. (J. M. Bower, eds.) Plenum Pub., San Diego, CA. pp. 81-86.
Tam, D. C. (1996) A Time-scale invariant method for detection of changes and oscillations in neuronal firing intervals. In: Computational Neuroscience. (J. M. Bower, eds.) Academic Press, San Diego, CA. pp. 465-470.
Fitzurka, M. A. and Tam, D. C. (1996) First order interspike interval difference phase plane analysis of neuronal spike train data. In: Computational Neuroscience. (J. M. Bower, eds.) Academic Press, San Diego, CA. pp. 429-434.
Fitzurka, M. A. and Tam, D. C. (1996) Second order interspike interval difference phase plane analysis of neuronal spike train data. In: Computational Neuroscience. (J. M. Bower, eds.) Academic Press, San Diego, CA. pp. 435-440.
Tam, D. C. and Fitzurka, M. A. (1995) A stochastic time-series analysis for detecting excitation-inhibition couplings among neurons in a network. In: Computational Medicine, Public Health and Biotechnology: Building a Man in the Machine. (M. Witten and D. J. Vincent, eds.) Mathematical Biology and Medicine, Vol. 5, pp. 921-931.
Fitzurka, M. A. and Tam, D. C. (1995) A new statistical measure for detecting trends in the firing patterns of neurons. In: Computational Medicine, Public Health and Biotechnology: Building a Man in the Machine. (M. Witten and D. J. Vincent, eds.) Mathematical Biology and Medicine, Vol. 5, pp. 990-1008.
Fitzurka, M. A. and Tam, D. C. (1995) A new spike train analysis technique for detecting trends in the firing patterns of neurons. In: The Neurobiology of Computation. (J. M. Bower, eds.) Kluwer Academic Publishers, Norwell, MA. pp. 73-78.
Zouridakis, G. and Tam, D. C. (1995) Recognition and classification of multineuron activity using a fuzzy-clustering approach. In: Computational Medicine, Public Health and Biotechnology: Building a Man in the Machine. (M. Witten and D. J. Vincent, eds.) Mathematical Biology and Medicine, Vol. 5, pp. 932-947.
Tam, D. C. (1994) A multi-conditional correlation statistics for detecting spatio-temporally correlated firing patterns. In: Computation in Neurons and Neural Systems. (F. H. Eeckman and J. M. Bower eds.) Kluwer Academic Publishers, Norwell, MA. pp. 33-38.
Tam, D. C. (1994) A hybrid time-shifted neural network for analyzing biological neuronal spike trains. Progress in Neural Networks Vol. 2, pp. 129-146.
Tam, D. C. and Gross G. W. (1994) Dynamical changes in neuronal network circuitries using multi-unit spike train analysis. In: Enabling Technologies for Cultured Neural Networks. (T. McKenna & D. A. Stenger, eds.) Academic Press, San Diego, CA. pp. 319-345.
Tam, D. C. and Gross G. W. (1994) Post-conditional correlation between neurons in cultured neuronal networks Proceedings of the World Congress on Neural Networks. San Diego, CA, June 5-9, 1994. Vol. 2, pp. 792-797.
Gross G. W. and Tam, D. C. (1994) Pre-conditional correlation between neurons in cultured networks. Proceedings of the World Congress on Neural Networks. San Diego, CA, June 5-9, 1994. Vol. 2, pp. 786-791.
Tam, D. C. (1993) Computation of cross-correlation function by a time-delayed neural network. In: Intelligent Engineering Systems through Artificial Neural Networks. Vol. 3. pp. 51-55.
Tam, D. C. (1993) A new conditional correlation statistics for detecting spatio-temporally correlated firing patterns in a biological neuronal network. Proceedings of the World Congress on Neural Networks, July 1993. Vol. 2. pp. 606-609.
Tam, D. C. (1993) Novel cross-interval maps for identifying attractors from multi-unit neural firing patterns. In: Nonlinear Dynamical Analysis of the EEG. (B. H. Jansen and M. E. Brandt, eds.) World Scientific Publishing Co., River Edge, NJ. pp. 65-77.
Tam, D. C. (1993) A multi-neuronal vectorial phase-space analysis for detecting dynamical interactions in firing patterns of biological neural networks. In: Computational Neural Systems. (F. H. Eeckman and J. M. Bower, eds.) Kluwer Academic Publishers, Norwell, MA. pp. 49-53.
Tam, D. C. and Hutson, R. K. (1993) An object-oriented paradigm for the design of realistic neural simulators. In: Computation Neural Systems. (F. H. Eeckman and J. M. Bower, eds.) Kluwer Academic Publishers, Norwell, MA. pp. 115-119.
Kenyon, G. T. and Tam, D. C. (1993) An entropy measure for revealing determinisitc structure in spike train data. In: Computation Neural Systems. (F. H. Eeckman and J. M. Bower, eds.) Kluwer Academic Publishers, Norwell, MA. pp. 44-47.
Kenyon, G. T. and Tam, D. C. (1993) Parallel algorithm for computing the time dependent Kolmogorov entropy form stationary EEG. In: Nonlinear Dynamical Analysis of the EEG. (B. H. Jansen and M. E. Brandt, eds.) World Scientific Publishing Co., River Edge, NJ. pp. 78-99.
Tam, D. C. (1992) Vectorial phase-space analysis for detecting dynamical interactions in firing patterns of biological neural networks. Proceedings of the International Joint Conference on Neural Networks, June 1992. Vol.3 pp. 97-102.
Tam, D. C. (1992) A novel vectorial phase-space analysis of spatio-temporal firing patterns in biological neural networks. Proceedings of the Simulation Technology Conference. Nov., 1992, pp. 556-564.
Tam, D. C. (1992) A generalizable object-oriented neural simulator for reconstructing functional properties of biological neuronal networks. Proceedings of the Simulation Technology Conference. Nov., 1992, pp. 551-555.
Tam, D. C. (1992) Object-oriented programming techniques for implementing generalizable models. Proceedings of the Simulation Technology Conference. Nov., 1992, pp. 300-303.
Tam, D. C. (1991) Signal processing in multi-threshold neurons. In: Single Neuron Computation (T. McKenna, J. Davis, and S. F. Zornetzer, eds.) Academic Press, San Diego. pp. 481-501.
Tam, D. C. (1991) Signal processing by multiplexing and demultiplexing in neurons. In: Advances in Neural Information Processing Systems. (D. S. Touretzky, ed.), Morgan Kaufmann Publishers, San Mateo, California. pp. 282-288.
Alkon, D. L., Vogl, T. P, Blackwell, K. T. and Tam, D. C. (1991) Memory function in neural and artificial networks. In: Neural Network Models of Conditioning and Action. (M. L. Commons, S. Grossberg, J. E. R. Staddon, eds.) pp. 1-11. Lawrence Erlbaum Associates: Hillsdale, New Jersey.
Tam, D. C. (1990) Decoding of firing intervals in a temporal-coded spike train using a topographically mapped neural network. Proceedings of the International Joint Conference on Neural Networks, June, 1990. Vol. 3, pp. III-627?632.
Tam, D. C. (1990) Temporal-spatial coding transformation: Conversion of frequency-code to place-code via a time-delayed neural network. Proceedings of the International Joint Conference on Neural Networks (H. Caudill, eds.), Jan., 1990. Vol. 1, pp. I-130?133.
Tam, D. C. (1989) The physiological basis and implications of differential motor activation. Behavioral and Brain Sciences Vol. 12, pp. 669.
Tam, D. C. (1989) A positive/negative reinforcement learning model for associative search network. Proceedings of the First Annual IEEE Symposium on Parallel and Distributed Processing, 1989, (B. Shirazi, ed.) pp. 300-307.
Tam, D. C. and Perkel, D. H. (1989) Quantitative modeling of synaptic plasticity. In: The Psychology of Learning and Motivation: Computational Models of Learning in Simple Neural Systems, (R. D. Hawkins and G. H. Bower, eds.) Vol. 23, pp. 1 - 30. Academic Press: San Diego.
Tam, D. C. and Perkel, D. H. (1989) A model for temporal correlation of biological neuronal spike trains. Proceedings of the IEEE International Joint Conference on Neural Networks 1989. Vol. 1, pp. I-781-786.
Tam, D. C., Ebner, T. J., and Knox, C. K. (1988)
Cross-interval
histogram and cross-interspike interval histogram correlation analysis of simultaneously
recorded multiple spike train data. Journal of Neuroscience Methods, 23:
23-33.