My Abstracts

Abstracts

2010

Tam, D. (2010) Variables governing emotion and decision-making: human objectivity underlying its subjective perception. BMC Neuroscience 2010, 11(Suppl 1):P96. Nineteenth Annual Computational Neuroscience Conference. San Antonio, Texas, July 24 – 30, 2010.
Tam, D. (2010) Tam, D. (2010) Temporal associative memory (TAM) by spike-timing dependent plasticity. BMC Neuroscience, 11(Suppl 1):P105. Nineteenth Annual Computational Neuroscience Conference. San Antonio, Texas, July 24 – 30, 2010.
Tam, D. (2010) Computational criteria for establishing reflex from plasticity to hardwiring. BMC Neuroscience 2010, 11(Suppl 1):P110. Nineteenth Annual Computational Neuroscience Conference. San Antonio, Texas, July 24 – 30, 2010.
Tam, D (2010) Gender difference in emotional perception of love in a decision-making task. 40th Annual Society for Neuroscience Meeting Abstract. Nov. 13-17, San Diego, CA.
Tam, D (2010) Imitation learning paradigm in the teaching of neuroscience. 40th Annual Society for Neuroscience Meeting Abstract. Nov. 13-17, San Diego, CA.

2009

Tam, D. (2009) A theoretical model of emotion processing for optimizing the cost function of discrepancy errors between wants and gets. BMC Neuroscience 2009, 10 (Suppl 1):P11. Eighteenth Annual Computational Neuroscience Conference. Berlin, Germany, July 18 - 23, 2009
Tam, D. (2009) A theoretical analysis of an alternative CUSUM statistic called CUSUM-slope for detecting signals from background noise in a low signal-to-noise environment. BMC Neuroscience 2009, 10 (Suppl 1):P83. Eighteenth Annual Computational Neuroscience Conference. Berlin, Germany, July 18 - 23, 2009
Tam, D. (2009) A theoretical framework for happy emotion as a self-assessment measure of congruency between objective and subjective reality - The EMOTION-II model. 39th Annual Society for Neuroscience Meeting Abstract. Oct. 17-21, Chicago, IL.
Tam, D. (2009) Increase in learning and memory retention by associative reinforcement learning. 39th Annual Society for Neuroscience Meeting Abstract. Oct. 17-21, Chicago, IL.

2008
Tam, D. (2008) Theoretical derivation of EMOTION-I model for emotional feel of sensation. BMC Neuroscience 2008, 9(Suppl 1):P79 Seventeenth Annual Computational Neuroscience Conference. Portland, OR, July 19 – 24, 2008.
Tam, D. (2008) Theoretical derivation of EMOTION-II model for happy and unhappy emotions. BMC Neuroscience 2008, 9(Suppl 1):P80 Seventeenth Annual Computational Neuroscience Conference. Portland, OR, July 19 – 24, 2008.
Tam, D. (2008) Introducing an evolutionary EMOTION-I model for the emergent of emotional feel in sensation. Society for Neuroscience Abstract. Nov. 15 – 19, Washington, DC.
Tam, D. (2008) Integration of behavioral neuroscience in teaching using a theoretical framework. Society for Neuroscience Abstract. Nov. 15 – 19, Washington, DC.

2007
Tam, D. (2007) A self-adaptive burst-detection algorithm. Sixteenth Annual Computational Neuroscience Conference. Toronto, Canada. July 16 – 20, 2006.
Tam, D. (2007) Detecting burst with a self-adaptive detection algorithm. Society for Neuroscience Abstract. Nov. 3 – 7, San Diego, CA.
Tam, D. (2007) Engineering system approach to teach neuroscience. Society for Neuroscience Abstract. Nov. 3 – 7, San Diego, CA.

2006
Tam, D. C. (2006) Computational Mechanisms for Physiological Adaptation and Reflex Conditioning. Fifteenth Annual Computational Neuroscience Conference. Edinburgh, Scotland. July 16 – 20, 2006.
Tam, D. C. (2006) Comparison between computational mechanisms for formation of synaptic plasticity and physiological reflexes. Society for Neuroscience Abstract. Oct. 14 – 18, Atlanta, GA.
Tam, D. C. (2006) Collaborative learning paradigm for neuroscience education. Society for Neuroscience Abstract. Oct. 14 – 18, Atlanta, GA.

2005
Tam, D. C. (2005) Evolutionary Computational Mechanisms for Embedding Physiological Responses into Genetic Reflexes. Fourteenth Annual Computational Neuroscience Conference. Madison, WI. July 17 – 21, 2005.
Tam, D. C. (2005) Computational mechanisms for consolidating physiological responses into genetic reflexes. Society for Neuroscience Abstract. Nov. 12 – 16, Washington, DC.
Tam, D. C. (2005) Teaching critical thinking in neuropsychopharmacology. Society for Neuroscience Abstract. Nov. 12 – 16, Washington, DC.

2004
Tam, D. C. (2004) Motion Detection in Hexagonal Arrays of Insect Ommatidia. Thirteenth Annual Computational Neuroscience Conference. Baltimore, MD. July 18 – 20, 2002.
Tam, D. C. (2004) Computational Model of Signal Processing in Compound Eye. Society for Neuroscience Abstract. Oct. 23 – 27, San Diego, CA. Vol. 30.
Tam, D. C. (2004) Interactive Feedback Assessment for Teaching Large-Size Neuroscience Classes. Society for Neuroscience Abstract. Oct. 23 – 27, San Diego, CA. Vol. 30.

2003
Tam, D. C. (2003) Computational Efficiency of Hexagonal Arrays in Compound Eyes. Twelvth Annual Computational Neuroscience Conference. Chicago, IL. July 21 – 25, 2002.
Tam, D. C. (2003) Computational Efficient Circuitry for Motion Detection in Compound Eyes. Society for Neuroscience Abstract. Nov. 9 – 13, New Orleans, LA. Vol. 29.
Tam, D. C. (2003) Problem-based Inquiry Learning Paradigm for Neuroscience Education. Society for Neuroscience Abstract. Nov. 9 – 13, New Orleans, LA. Vol. 29.

2002
Tam, D. C. (2002) Real-Time Estimation of Predictive Firing Rate. Eleventh Annual Computational Neuroscience Conference. Chicago, IL. July 21 – 25, 2002.
White, J. A. and Tam, D. C. (2002) Computational Efficiency of Hexagonal Arrays in Compound Eyes. Eleventh Annual Computational Neuroscience Conference. Chicago, IL. July 21 – 25, 2002.
Tam, D. C. (2002) Estimation of Predictive Firing Rate in an Epoch in Real-Time. Society for Neuroscience Abstract. Nov. 2 – 7, Orlando, FL. Vol. 28.
Tam, D. C. (2002) Active Learning in Neuroscience Education using an On-Line Learning Community. Society for Neuroscience Abstract. Nov. 2 – 7, Orlando, FL. Vol. 28.

2001
Tam, D. C. (2001) A Spike Train Analysis for Quantifying Inhibitory Near-Synchrony in Spike Firings. Neurocomputing Tenth Annual Computational Neuroscience Conference. San Francisco, CA. June 30 – July 5, 2001
Tam, D. C. (2001) An Alternate Burst Analysis for Detecting Intraburst Firings Based on Interburst Periods. Neurocomputing Tenth Annual Computational Neuroscience Conference. San Francisco, CA. June 30 – July 5, 2001
Tam, D. C. (2001) A 3-Cell Spike Train Analysis for Detecting Inhibitory Near-Synchrony in Spike Firings. Society for Neuroscience Abstract. Nov. 10 - 15, San Diego, CA. Vol. 27.
Tam, D. C. (2001) A Biological-Survival Model Approach to Teach Neurophysiology, Neuropsychology and Neuropsychopharmacology. Society for Neuroscience Abstract. Nov. 10 - 15, San Diego, CA. Vol. 27.

2000
Tam, D. C. (2000) A Multi-Unit Spike Train Analysis for Quantifying Phase-Relationships of Near-Synchrony Firings. Ninth Annual Computational Neuroscience Conference. Brugge, Belgium. July 16 – 20, 2000.
Tam, D. C. (2000) A multi-unit spike train analysis for quantifying phase-relationships of near-synchrony firings.. Ninth Annual Computational Neuroscience Conference. Brugge, Belgium. July 16 – 20, 2000.
Tam, D. C. (2000) A Spike Train Analysis for Correlating Burst Firings in Neurons. Ninth Annual Computational Neuroscience Conference. Brugge, Belgium. July 16 – 20, 2000.
Tam, D. C. (2000) A Spike Train Phase-Plane Analysis for Quantifying Phase-Relationships of Near-Synchrony Firings. Society for Neuroscience Abstract. Vol. 26. Nov. 4-9, 2000. New Orleans, LA.
Tam, D. C. (2000) An Engineering Approach to Teach the Basic Principles of Neuroscience: Design Principles vs. Evolution. Society for Neuroscience Abstract. Vol. 26. Nov. 4-9, 2000. New Orleans, LA.

1999
Tam, D. C. (1999) A Spike Train Analysis for Detecting Spatio-temporal Integration in Neurons. Eighth Annual Computational Neuroscience Conference. Pittsburgh, PA. July 18 – 22, 1999.
Tam, D. C. (1999) A Spike Train Analysis for Detecting Spatial Integration in Neurons. Eight Annual Computational Neuroscience Conference. Pittsburgh, PA. July 18 – 22, 1999.
Tam, D. C. (1999) A stochastic multi-unit spike train analysis for detecting the contribution of spatio-temporal integration on spike generation in neurons. Society for Neuroscience Abstract. Vol. 25. Nov. 23-28, 1999. Miami Beach, FL. p. 1415.
Tam, D. C. (1999) A systematic approach to teach the fundamental principles of scientific inquiry in neuroscience methods and theories. Society for Neuroscience Abstract. Vol. 25. Nov. 23-28, 1999. Miami Beach, FL. p. 265.

1998
Tam, D. C. (1998) A spike train analysis for detecting temporal integration in neurons. Seventh Annual Computational Neuroscience Conference Abstract, Santa Barbara, CA, July 26-30. pp. 162.
Tam, D. C. (1998) A spike train analysis for detecting the temporal integration of spikes in neurons. Sixteenth Annual Conference on Biomedical Engineering Research in Houston.
Tam, D. C. (1998) A stochastic spike train analysis for detecting the dependence of spike generation on spatial integration in neurons. Society for Neuroscience Abstract. Vol. 24. Nov. 7-12, 1998. Los Angeles, CA.

1997
Tam, D. C. (1997) Regularity in Spike Firing with Random Inputs Detected by Method Extracting Contribution of Temporal Integration of a Pair of Incoming Spikes to the Firing of a Neuron. Sixth Annual Computational Neuroscience Conference Abstract, Big Sky, MT, July 6-10. pp. 159.
Tam, D. C. (1997) A spike train analysis for extracting the dependence of temporal summation in spike generation of one neuron on the doublet spike firing of another. Fifteenth Annual Conference on Biomedical Engineering Research in Houston.
Tam, D. C. (1997) A Spike Train Analysis for Detecting the Dependence of Temporal Summation Contributing to the Excitation or Suppression of Spike Firing in Neurons. Society for Neuroscience Abstract. Vol. 23. Oct. 25-30, 1997. New Orleans, LA. pp. 2099.

1996
Tam, D. C. and Fitzurka, M. A. (1996) Inter-arrival time spike train analyses for detecting spatial and temporal summation in neurons. Fifth Annual Computational Neuroscience Conference Abstract, Boston, MA, July 14-17. pp. 196.
Fitzurka, M. A. and Tam, D. C. (1996) A joint cross interval difference analysis for detecting coupling trends between neurons. Fifth Annual Computational Neuroscience Conference Abstract, Boston, MA, July 14-17. pp. 52.
Fitzurka, M. A. and Tam, D. C. (1996) Hybrid analyses of neuronal spike train data for pre-and post-cross intervals in relation to interspike interval differences. Fifth Annual Computational Neuroscience Conference Abstract, Boston, MA, July 14-17. pp. 53.
Tam, D. C. (1996) A spatio-temporal correlation spike train analysis for detecting firing patterns in neurons. Fourteenth Annual Conference on Biomedical Engineering Research in Houston.
Tam, D. C. (1996) A spike train analysis for detecting the dependence of spike generation of one neuron on the doublet spike firing of another. Society for Neuroscience Abstract. Vol. 22. Nov. 16-21, 1996. Washington, DC. pp. 133.
Fitzurka, M. A. and Tam, D. C. (1996) A Cross Interval spike train analysis technique (Pre-CI/ISID/Post-CI) for revealing the coupling relationships between the firing Patterns of neuron- pairs. Society for Neuroscience Abstract. Vol. 22. Nov. 16-21, 1996. Washington, DC. pp. 133.
Laufer, S. R., Gross, G. W. and Tam, D. C. (1996) HEPES buffer suppression of spontaneous neuronal network activity. Society for Neuroscience Abstract. Vol. 22. Nov. 16-21, 1996. Washington, DC. pp. 1377.

1995
Tam, D. C. (1995) A Time-Scale Invariant Method for Detection of Changes and Oscillations in Neuronal Firing Intervals. Fourth Annual Computational Neuroscience Conference Abstract, Monterey, CA, July 12-15.
Fitzurka, M. A. and Tam, D. C. (1995) First Order Interspike Interval Difference Phase Plane Analysis of Neuronal Spike Train Data. Fourth Annual Computational Neuroscience Conference Abstract, Monterey, CA, July 12-15.
Fitzurka, M. A. and Tam, D. C. (1995) Second Order Interspike Interval Difference Phase Plane Analysis of Neuronal Spike Train Data. Fourth Annual Computational Neuroscience Conference Abstract, Monterey, CA, July 12-15.
Tam, D. C. (1995) A new interspike interval analysis for detecting sequential firing trends in neurons. Thirteenth Annual Conference on Biomedical Engineering Research in Houston. p. 43
Tam, D. C. and Fitzurka, M. A. (1995) A spatio-temporal spike train analysis for correlating firing patterns in neurons. Society for Neuroscience Abstract. Vol. 21. p.148. Nov. 11-16, 1995. San Diego, CA.
Fitzurka, M. A. and Tam, D. C. (1995) First and second order interspike interval difference phase plane analyses of neuronal spike trains. Society for Neuroscience Abstract. Vol. 21. p.148. Nov. 11-16, 1995. San Diego, CA.
Tam, D. C. (1995) Spatio-Temporal Organization of Neural Firing Patterns in Networks. Workshop on Traversing Scales of Organization, at Bethesda, MD, June 16-17.

1994
Fitzurka, M. A. and Tam, D. C. (1994) A New Spike Train Analysis for Detecting Trends in Firing Patterns in Neurons. Third Annual Conference on Computational Neural Systems. Monterey, CA.
Tam, D. C. (1994) A new higher-order interspike interval analysis for detecting sequential firing trends in neurons. Society for Neuroscience Abstract. Vol. 20. p.1203. Nov. 13-18, 1994. Miami Beach, FL.
Tam, D. C. (1994) Spike Train Analysis for Detecting Synchronized Firing among Neurons in Networks. Metroplex Institute of Neural Dynamics Conference Abstract.
Tam, D. C. (1994) A stochastic time-series analysis for detecting excitation-inhibition. First World Congress on Computational Medicine, Public Health and Biotechnology.
Tam, D. C. (1994) A new post-conditional correlation method for extracting inhibition coupling between neurons. Twelfth Annual Conference on Biomedical Engineering Research in Houston. p.84.
Fitzurka, M. A. and Tam, D. C. (1994) A new statistical measure for detecting trends in firing patterns in neurons couplings among neurons in a network. First World Congress on Computational Medicine, Public Health and Biotechnology
Zouridakis, G. and Tam, D. C. (1994) Identification of Spike Profiles using Fuzzy-Logic Classifiers. Society for Neuroscience Abstract. Vol. 20. p.1203. Nov. 13-18, 1994. Miami Beach, FL.
Zouridakis, G. and Tam, D. C. (1994) A fuzzy-logic approach to the recognition and classification of multi-neuronal activity. First World Congress on Computational Medicine, Public Health and Biotechnology

1993
Tam, D. C. (1993) A multi-conditional correlation statistics for detecting spatio-temporally correlated firing patterns. Second Annual Conference on Computational Neural Systems. Washington, D.C.
Tam, D. C. (1993) A new post-conditional correlation method for extracting excitation-inhibition coupling between neurons. Society for Neuroscience Abstract. Vol. 19, p. 1598.
Tam, D. C. (1993) A multi-conditional time-series analysis for detecting spatio-temporally correlated firing patterns in spike trains. Eleventh Annual Conference on Biomedical Engineering Research in Houston.
Tam, D. C. (1992) A new multi-conditional statistical measure for detecting spatio-temporally correlated firing patterns in multiple spike trains. Society for Neuroscience Abstract. Vol. 18, p. 318.
Tam, D. C. (1993) A multi-neuronal vectorial phase-space analysis for detecting dynamical interactions in firing patterns of biological neural networks. First Annual Conference on Computational Neural Systems. San Francisco, CA.
Tam, D. C. and Hutson, R. K. (1993) An object-oriented paradigm for the design of realistic neural simulators. First Annual Conference on Computational Neural Systems. San Francisco, CA.
Gross, G. W. and Tam, D. C. (1993) Dynamical changes of functional connectivity in cultured networks. Society for Neuroscience Abstract. Vol. 19, p. 1598.
Kenyon, G. T. and Tam, D. C. (1993) An entropy measure for revealing deterministic structure in spike train data. First Annual Conference on Computational Neural Systems. San Francisco, CA.
Zouridakis, G. and Tam, D. C. (1993) Identification of spike profiles using fuzzy-logic classifiers. Society for Neuroscience Abstract. Vol. 19, p. 1598.

1992
Tam, D. C. (1992) A new multi-conditional statistical measure for detecting spatio-temporally correlated firing patterns in multiple spike trains. Society for Neuroscience Abstract. Vol. 18, p. 318.
Tam, D. C. and Kenyon, G. T. (1992) Novel Cross-Interval Maps for Identifying Attractors from Multi-Unit Neural Firing Patterns. Second Annual Conference on Nonlinear Dynamical Analysis of the EEG.
Tam, D. C. (1992) Statistical analytical methods for detecting temporally correlated firing patterns in neural networks. Tenth Annual Conference on Biomedical Engineering Research in Houston. p. 146.
Kenyon, G. T. and Tam, D. C. (1992) Deterministic entropy measures for investigating complex spatio-temporal order in multi-unit spike train data. Tenth Annual Conference on Biomedical Engineering Research in Houston. p. 144.
Tam, D. C. and Kenyon, G. T. (1992) Simulating interconnected neural systems using an object-oriented programming paradigm. Tenth Annual Conference on Biomedical Engineering Research in Houston. p. 83.
Tam, D. C. and Kenyon, G. T. (1992) A vectorial statistical method for detecting correlated firing patterns in neurons. Biophysical Society Abstract. Vol. 16, p.A175.
Kenyon, G. T. and Tam, D. C. (1992) An object-oriented paradigm for simulating physiological processes in extended biological structures. Biophysical Society Abstract. Vol. 16, p.A175.
Kenyon, G. T. and Tam, D. C. (1992) Using the asymptotic Kolmogorov entropy to identify deterministic structures in multi-unit spike trains. Society for Neuroscience Abstract. Vol. 18, p. 318.
Zouridakis, G. and Tam, D. C. (1992) Multi-unit spike discrimination using wavelet transforms. Society for Neuroscience Abstract. Vol. 18, p. 318.
Tam, D. C. (1992) Methods for investigating the neurophysiological functions of the central nervous system. Society of Chinese Bioscientists Symposium Abstract.
Tam, D. C. (1992) A vectorial statistical measure for detecting temporally correlated firing patterns in multiple spike trains. Society of Chinese Bioscientists Symposium Abstract.

1991
Tam, D. C. (1991) A vectorial statistical method for analyzing stochastic firing patterns in large numbers of neurons in parallel. The Second Keck Symposium on Computational Biology Abstract.
Tam, D. C. (1991) A spatial-temporal mapping neural circuit for decoding interspike-intervals in spike train. Ninth Annual Conference on Biomedical Engineering Research in Houston.
Tam, D. C. and Kenyon, G. T. (1991) A novel vectorial measure for detecting temporally correlated firing patterns in multiple spike trains. Society for Neuroscience Abstract. Vol. 17, p. 125.
Boney, D. G., Feinswog, L. J., Hutson, R. K., Kenyon, G. T. and Tam, D. C. (1991) An object-oriented paradigm for simulating inter-connected neural systems. Society for Neuroscience Abstract. Vol. 17, p. 126.
Feinswog, L. J., Hutson, R. K., Kenyon, G. T. and Tam, D. C. (1991) An object-oriented paradigm for simulating neurophysiological processes. The Second Keck Symposium on Computational Biology Abstract.

1990
Tam, D. C. (1990) Functional significance of bi-threshold firing of neurons. Society for Neuroscience Abstract. Vol. 16, p. 1091.
Tam, D. C. (1990) Hebbian synapse and its relation to cross-correlation function in associative conditioning learning. Eighth Annual Conference on Biomedical Engineering Research in Houston. p. 5.
Tam, D. C. (1990) Visual-motor integration: What role does cerebellar cortical neurons participate in movement control in monkeys? Eighth Annual Conference on Biomedical Engineering Research in Houston. p. 39.

1989
Tam, D. C. and McMullen, T. A. (1989) Hebbian synapses as cross-correlation functions in delay line circuitry Society for Neuroscience Abstract Vol. 15, p. 777.
Alkon, D. L., Vogl, T. P., Blackwell, K. T. and Tam, D. C. (1989) Pattern recognition and storage by an artificial network derived from biological systems. Neural Network Models of Conditioning and Action: the Twelfth Symposium on Models of Behavior at Harvard University.

1988
Tam, D. C. and Perkel, D. H. (1988) Identification of firing patterns in multiple spike trains using a neural network employing the back-propagation error correction learning algorithm. Society for Neuroscience Abstract, Vol. 14, p. 260.
Tam, D. C., Perkel, D. H., and Tucker, W. S. (1988) Correlation of multiple neuronal spike trains using the back-propagation error correction algorithm. INNS 88 International Neural Network Society First Annual Meeting.
Tam, D. C., Perkel, D. H., and Tucker, W. S. (1988) Temporal correlation of multiple neuronal spike trains using the back-propagation error correction algorithm. INNS 88 International Neural Network Society First Annual Meeting.
Tam, D. C. (1988) An improved reinforcement learning model for associative search network. IEEE International Conference on Neural Network 1988.
Ojakangas, C. L., Onstott, D. K., Tam, D. C., Ebner, T. J. (1988) Changes in hand kinematics during a quantifiable learning paradigm in primates. Society for Neuroscience Abstract, Vol. 24, p. 260.

1987
Tam, D. C., Ebner, T. J., and Knox, C. K. (1987) Correlation between Purkinje cell simple spike activity and movement kinematics during closed-loop, visually guided multi-joint movement with altered gain and delay feedback. Society for Neuroscience Abstract, Vol. 13, p.604.

1986
Tam, D. C., Ebner, T. J., and Knox, C. K. (1986) Technique for evaluation of Purkinje cell activity during closed-loop visually guided movement requiring continual fine movement error correction. Society for Neuroscience Abstract, Vol. 12, p.1418.

1985
Tam, D. C., Knox, C. K., and Ebner, T. J. (1985) Cross-interval correlation of firing pattern of simultaneously recorded neighboring cerebellar Purkinje cells. Society for Neuroscience Abstract, Vol. 11, p.1035.

1982
Tam, D. C., Ebner, T. J., and Bloedel, J. R. (1982) The response properties of DSCT cells to periodic mechanical stimuli. Society for Neuroscience Abstract, Vol. 8, p. 957.