Nicoladie D. Tam

Previous Scheduled Teaching

Published Intellectual Contributions

Abstracts and Proceedings

• Tam, N. Movement Directional Map for Optical Imaging with fNIRS (functional near-infrared spectroscopy).
• Tam, N. Transition probability in decision-making process.
• Tam, N. (2018). Computational model of the conditional probability of decision-making process as an optimization process. 19 (S2) P167. Biomedical Central.
• Tam, N. (2018). Population vector decoding for optical imaging with fNIRS (functional near-infrared spectroscopy). 19 (S2) P133. Biomedical Central.
• Tam, N. (2017). Computational measure to account for erroneous neural deactivation when oxygen supply cannot meet metabolic demand in neuroimaging studies. 18 (Suppl 1) Biomedical Central.
• Tam, N. (2017). Computational social interaction in reciprocity and empathic behavior as behavioral economics and risk tasking behavior. 18 (Suppl 1) Biomedical Central.
• Tam, N. (2016). Hemodynamic responses to emotions and decisions using near-infrared spectroscopy optical imaging. 17 (Suppl 1) 54. Biomedical Central.
• Tam, N., Pollonini, L., Zoiuridaj=kis, G. (2016). Phase space analysis of hemodynamic responses to intentional movement directions using functional near-infrared spectroscopy (fNIRS) optical imaging technique. 17 (Suppl 1) 54. Biomedical Central.
• Tam, N. (2015). Computational interactions between decision and emotion. 18 (Suppl 1) P244. Biomedical Central. http://www.biomedcentral.com/1471-2202/16/S1/P244
• Tam, N., Zouridakis, G. (2015). Differential temporal activation of oxy- and deoxy-hemodynamic signals in optical imaging using functional near-infrared spectroscopy (fNIRS). 16 (Suppl 1) P245. Biomedical Central. http://www.biomedcentral.com/1471-2202/16/S1/P245
• Tam, N. (2014). Optical imaging of prefrontal cortex hemodynamic response in executive function induced by increased cardiovascular activity. BMC Neuroscience. 15 (Suppl 1) P34. BMC Neuroscience.
• Tam, ND. (2014). Computational logic gates and neural spike train processing. Biomedical Central. http://www.biomedcentral.com/content/pdf/1471-2202-15-S1-P34.pdf
• Tam, ND. (2014). Computational optimization problems in social interaction and empathic social emotion. Biomedical Central. http://www.biomedcentral.com/content/pdf/1471-2202-15-S1-P35.pdf
• Tam, ND. (2013). Decoding of movement direction using optical imaging of motor cortex. http://www.biomedcentral.com/content/pdf/1471-2202-14-S1-P380.pdf
• Tam, N.D. (2013). Validation of an emotional model by EEG recordings of neural responses. http://www.biomedcentral.com/content/pdf/1471-2202-14-S1-P380.pdf
• Tam, ND & Zouridakis, G. (2012). Assessing subjective fairness using a Fairness-Equity Relativity model: Theoretical derivation. http://www.biomedcentral.com/content/pdf/1471-2202-13-S1-P27.pdf
• Tam ND. (2012). Derivation of the evolution of empathic other-regarding social emotions as compared to non-social self-regarding emotions. BMC Neuroscience 13(Suppl 1):P28.
• Tam ND. (2012). Detection of directional movement control using fNIRS optical imaging of motor cortex. Program No. 891.20. 2012 Neuroscience Meeting Planner. New Orleans, LA: Society for Neuroscience, 2012. Online..
• Tam ND. (2012). Methodologies for integrating neuroscience basic knowledge into clinical relevance in neuropsychopharmacology teaching. Program No. 26.14. 2012 Neuroscience Meeting Planner. New Orleans, LA: Society for Neuroscience, 2012. Online..
• Tam ND & Zouridakis, G. (2012). Optical imaging of motor cortical activation using functional near-infrared spectroscopy. BMC Neuroscience 13(Suppl 1):P27. http://www.biomedcentral.com/content/pdf/1471-2202-13-S1-P27.pdf
• Tam DN. Applying integrative contextual sensorimotor imitation learning in the teaching of neuroscience. Program No. 23.05. 2011 Neuroscience Meeting Planner. Washington, DC: Society for Neuroscience, 2011. Online.
• Tam DN. (2011). Contributing factors in judgment of fairness by monetary value. BMC Neuroscience, 12(Suppl 1):P329.
• Tam DN. (2011). Gender difference of emotional bias in sharing love. BMC Neuroscience 12(Suppl 1):P328.
• Tam DN. (2011). Ignorance is bliss: Only if you don't know what you miss. Program No. 299.01. 2011 Neuroscience Meeting Planner. Washington, DC: Society for Neuroscience, 2011. Online.
• Tam DN. (2011). Quantification of emotional bias by an Emotional-Gain Model. BMC Neuroscience 12(Suppl 1):P326.
• Tam DN. (2011). Quantification of fairness bias by a Fairness-Equity Model. BMC Neuroscience 12(Suppl 1):P327.
• Tam D. (2010). Computational criteria for establishing reflex from plasticity to hardwiring.
• Tam D. (2010). Gender difference in emotional perception of love in a decision-making task.
• Tam D. (2010). Imitation learning paradigm in the teaching of neuroscience.
• Tam D. (2010). Temporal associative memory (TAM) by spike-timing dependent plasticity.
• Tam D. (2010). Variables governing emotion and decision-making: human objectivity underlying its subjective perception.
• 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.
• 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.
• Tam D. (2009). A theoretical model of emotion processing for optimizing the cost function of discrepancy errors between wants and gets.
• Tam D. (2009). Increase in learning and memory retention by associative reinforcement learning.
• Tam, D.. (2008). Integration of behavioral neuroscience in teaching using a theoretical framework.
• Tam, D.. (2008). Introducing an evolutionary EMOTION-I model for the emergent of emotional feel in sensation.
• Tam D. (2008). Theoretical derivation of EMOTION-I model for emotional feel of sensation.
• Tam, D.. (2008). Theoretical derivation of EMOTION-II model for happy and unhappy emotions.
• Tam, D.. (2007). A self-adaptive burst-detection algorithm.
• Tam, D.. (2007). Detecting burst with a self-adaptive detection algorithm.
• Tam, D.. (2007). Engineering system approach to teach neuroscience.
• Tam, D. C.. (2006). Collaborative learning paradigm for neuroscience education.
• Tam, D. C.. (2006). Comparison between computational mechanisms for formation of synaptic plasticity and physiological reflexes.
• Tam, D. C.. (2006). Computational Mechanisms for Physiological Adaptation and Reflex Conditioning.
• Tam, D. C.. (2005). Computational mechanisms for consolidating physiological responses into genetic reflexes.
• Tam, D. C.. (2005). Evolutionary Computational Mechanisms for Embedding Physiological Responses into Genetic Reflexes.
• Tam, D. C.. (2005). Teaching critical thinking in neuropsychopharmacology.
• Tam, D. C.. (2004). Computational Model of Signal Processing in Compound Eye.
• Tam, D. C.. (2004). Interactive Feedback Assessment for Teaching Large-Size Neuroscience Classes.
• Tam, D. C.. (2004). Motion Detection in Hexagonal Arrays of Insect Ommatidia.
• Tam, D. C.. (2003). Computational Efficiency of Hexagonal Arrays in Compound Eyes.
• Tam, D. C.. (2003). Computational Efficient Circuitry for Motion Detection in Compound Eyes.
• Tam, D. C.. (2003). Problem-based Inquiry Learning Paradigm for Neuroscience Education.
• Tam, D. C.. (2002). Active Learning in Neuroscience Education using an On-Line Learning Community.
• White, J. A. and Tam, D. C.. (2002). Computational Efficiency of Hexagonal Arrays in Compound Eyes.
• Tam, D. C.. (2002). Estimation of Predictive Firing Rate in an Epoch in Real-Time.
• Tam, D. C.. (2002). Real-Time Estimation of Predictive Firing Rate.
• Tam, D. C.. (2001). A 3-Cell Spike Train Analysis for Detecting Inhibitory Near-Synchrony in Spike Firings.
• Tam, D. C.. (2001). A Biological-Survival Model Approach to Teach Neurophysiology, Neuropsychology and Neuropsychopharmacology.
• Tam, D. C.. (2001). A Spike Train Analysis for Quantifying Inhibitory Near-Synchrony in Spike Firings.
• Tam, D. C.. (2001). An Alternate Burst Analysis for Detecting Intraburst Firings Based on Interburst Periods.
• Tam, D. C.. (2000). A multi-unit spike train analysis for quantifying phase-relationships of near-synchrony firings.
• Tam, D. C.. (2000). A Multi-Unit Spike Train Analysis for Quantifying Phase-Relationships of Near-Synchrony Firings.
• Tam, D. C.. (2000). A Spike Train Analysis for Correlating Burst Firings in Neurons.
• Tam, D. C.. (2000). A Spike Train Phase-Plane Analysis for Quantifying Phase-Relationships of Near-Synchrony Firings.
• Tam, D. C.. (2000). An Engineering Approach to Teach the Basic Principles of Neuroscience: Design Principles vs. Evolution.
• Tam, D. C.. (1999). A Spike Train Analysis for Detecting Spatio-temporal Integration in Neurons.
• Tam, D. C.. (1999). A stochastic multi-unit spike train analysis for detecting the contribution of spatio-temporal integration on spike generation in neurons.
• Tam, D. C.. (1999). A systematic approach to teach the fundamental principles of scientific inquiry in neuroscience methods and theories.

Book Chapter

• Tam, ND & Zouridakis, G. Decoding Movement Direction from Motor Cortex Recordings Using Near-Infrared Spectroscopy. Infrared Spectroscopy: Theory, Developments and Applications.
• Tam, D. C.. (1999). Spike train analysis for detecting oscillations and synchronous firing among neurons in networks.
• Tam, D. C.. (1998). 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.
• Fitzurka, M. A. and Tam, D. C.. (1997). A joint cross interval difference analysis for detecting coupling trends between neurons.
• 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.
• Tam, D. C. and Fitzurka, M. A.. (1997). Inter-arrival time spike train analyses for detecting spatial and temporal summation in neurons.
• Tam, D. C.. (1996). A Time-scale invariant method for detection of changes and oscillations in neuronal firing intervals.
• Fitzurka, M. A. and Tam, D. C. (1996). First order interspike interval difference phase plane analysis of neuronal spike train data.
• Fitzurka, M. A. and Tam, D. C.. (1996). Second order interspike interval difference phase plane analysis of neuronal spike train data.
• Fitzurka, M. A. and Tam, D. C.. (1995). A new spike train analysis technique for detecting trends in the firing patterns of neurons.
• Tam, D. C. and Fitzurka, M. A.. (1995). A stochastic time-series analysis for detecting excitation-inhibition couplings among neurons in a network.
• Zouridakis, G. and Tam, D. C.. (1995). Recognition and classification of multineuron activity using a fuzzy-clustering approach.
• Tam, D. C.. (1994). A multi-conditional correlation statistics for detecting spatio-temporally correlated firing patterns.
• Tam, D. C. and Gross G. W.. (1994). Dynamical changes in neuronal network circuitries using multi-unit spike train analysis.
• Tam, D. C.. (1993). A multi-neuronal vectorial phase-space analysis for detecting dynamical interactions in firing patterns of biological neural networks.
• Kenyon, G. T. and Tam, D. C.. (1993). An entropy measure for revealing determinisitc structure in spike train data.
• Tam, D. C. and Hutson, R. K.. (1993). An object-oriented paradigm for the design of realistic neural simulators.
• Tam, D. C.. (1993). Computation of cross-correlation function by a time-delayed neural network.
• Tam, D. C.. (1993). Novel cross-interval maps for identifying attractors from multi-unit neural firing patterns.
• Kenyon, G. T. and Tam, D. C.. (1993). Parallel algorithm for computing the time dependent Kolmogorov entropy form stationary EEG.
• Alkon, D. L., Vogl, T. P, Blackwell, K. T. and Tam, D. C.. (1991). Memory function in neural and artificial networks.
• Tam, D. C.. (1991). Signal processing by multiplexing and demultiplexing in neurons.
• Tam, D. C.. (1991). Signal processing in multi-threshold neurons.
• Tam, D. C. and Perkel, D. H.. (1989). Quantitative modeling of synaptic plasticity.

Conference Proceeding

• Tam, N., Pollonini, L., Zouridakis, G. (2016). Decoding movement direction using phase-space analysis of hemodynamic responses to arm movements based on functional near-infrared spectroscopy. 1580-1583. IEEE.
• Tam, D. C. and Gross G. W.. (1994). Post-conditional correlation between neurons in cultured neuronal networks.
• Gross G. W. and Tam, D. C.. (1994). Pre-conditional correlation between neurons in cultured networks.
• Tam, D. C.. (1993). A new conditional correlation statistics for detecting spatio-temporally correlated firing patterns in a biological neuronal network.
• Tam, D. C.. (1992). A generalizable object-oriented neural simulator for reconstructing functional properties of biological neuronal networks.
• Tam, D. C.. (1992). A novel vectorial phase-space analysis of spatio-temporal firing patterns in biological neural networks.
• Tam, D. C.. (1992). Object-oriented programming techniques for implementing generalizable models.
• Tam, D. C.. (1992). Vectorial phase-space analysis for detecting dynamical interactions in firing patterns of biological neural networks.
• Tam, D. C.. (1990). Decoding of firing intervals in a temporal-coded spike train using a topographically mapped neural network.
• Tam, D. C.. (1990). Temporal-spatial coding transformation: Conversion of frequency-code to place-code via a time-delayed neural network.
• Tam, D. C. and Perkel, D. H.. (1989). A model for temporal correlation of biological neuronal spike trains.
• Tam, D. C.. (1989). A positive/negative reinforcement learning model for associative search network.

Journal Article

• Tam, N. (2018). An alternative method for deriving infinite series using long division for school-aged students. 5 (1) 35-38. http://article.aascit.org/file/pdf/9210789.pdf
• Tam, N., Zouridakis, G., Pollonini, L. (2017). Computational method for representing the simultaneous hemodynamic relationship between oxy-hemoglobin delivery and deoxy-hemoglobin extraction in neural tissues. American Journal of Biomedical Science and Engineering. 3 (6) 54-63.
• Tam, N. (2016). Self-Corrective Autonomous Systems using Optimization Processes for Detection and Correction of Unexpected Error Conditions. 5 (4) 262-276. http://iaesjournal.com/online/index.php/IJRA/article/view/12496
• Tam, N.D. (2016). EMOTION-III Model: A theoretical framework for social empathic emotions in autonomous coEMOTION-III Model: A theoretical framework for social empathic emotions in autonomous control systemsntrol systems: A theoretical framework for social empathic emotions in autonomous control systems. The Open Cybernetics & Systemics Journal. 10 132-146. https://www.benthamopen.com/ABSTRACT/TOCSJ-10-132
• Tam, N. (2015). Quantitative assessment of sad emotion. Psychology and Behavioral Sciences. 4 (2) 36-43. http://article.sciencepublishinggroup.com/pdf/10.11648.j.pbs.20150402.11.pdf
• Tam, ND. Estimation of future spike firing rate by a predictive algorithm.
• Tam, ND. (2014). Quantification of fairness bias in relation to decisions using a relativistic fairness-equity model. Advances in Social Sciences Research Journal. 1 (4) 169-178. http://scholarpublishing.org/index.php/ASSRJ/article/view/292/170
• Tam, ND. (2014). Quantification of fairness perception by including other-regarding concerns using a relativistic fairness-equity model. Advances in Social Sciences Research Journal. 1 (4) 159-168. http://scholarpublishing.org/index.php/ASSRJ/article/view/291/169
• Tam, ND. (2014). Quantification of happy emotion: Dependence on decisions. Psychology and Behavioral Sciences. 3 (2) 68-74. http://article.sciencepublishinggroup.com/pdf/10.11648.j.pbs.20140302.16.pdf
• Tam ND. (2014). Quantification of happy emotion: Proportionality relationship to gain/loss. Psychology and Behavioral Sciences. 3 (2) 60-67. http://article.sciencepublishinggroup.com/pdf/10.11648.j.pbs.20140302.15.pdf
• Tam, ND. (2014). Reduction of student's exam grade performance when spending more time in an exam. British Journal of Education, Society & Behavioural Science. 4 (8) 1125-1139. http://www.sciencedomain.org/abstract.php?iid=484&id=21&aid=4363
• Tam, ND & Zouridakis, G. (2014). Temporal decoupling of oxy- and deoxy-hemoglobin hemodynamic responses detected by functional near-infrared spectroscopy (fNIRS). Journal of Biomedical Engineering and Medical Imaging. 1 (2) http://scholarpublishing.org/index.php/JBEMi/article/view/146/99
• Tam, ND. (2014). Hexagonal pixel-array for efficient spatial computation for motion-detection pre-processing of visual scenes. Advances in Image and Video Processing. 2 (2) http://scholarpublishing.org/index.php/AIVP/article/view/153/95
• Tam, ND. (2013). Digital Equivalence of Biological Neural AND-gate, OR-gate and MIN-Gate. http://ijcit.com/archives/volume2/issue5/Paper020501.pdf
• Tam, ND. (2013). Improvement of Processing Speed in Executive Function Immediately following an Increase in Cardiovascular Activity. http://www.hindawi.com/journals/cpn/2013/212767/
• Tam, ND & Zouridakis, G. (2013). Optical imaging of motor cortical hemodynamic response to directional arm movements using near-infrared spectroscopy. International Journal of Biological Engineering 3(2): 11-17.. http://article.sapub.org/pdf/10.5923.j.ijbe.20130302.01.pdf
• Tam DN. (2011). Computation in Emotional Processing: Quantitative Confirmation of Proportionality Hypothesis for Angry Unhappy Emotional Intensity to Perceived Loss. Cognitive Computation.3(2): 394-415.
• Tam D. (2009). A Theoretical Analysis of Cumulative Sum Slope (CUSUM-Slope) Statistic for Detecting Signal Onset (begin) and Offset (end) Trends from Background Noise Level.
• Tam, D.. (2007). EMOTION-I Model: A Biologically-Based Theoretical Framework for Deriving Emotional Context of Sensation in Autonomous Control Systems.
• Tam, D.. (2007). EMOTION-II Model: A Theoretical Framework for Happy Emotion as a Self-Assessment Measure Indicating the Degree-of-Fit (Congruency) between the Expectancy in Subjective and Objective Realities in Autonomous Control Systems.
• Tam, D.. (2007). Theoretical Analysis of Cross-Correlation of Time-Series Signals Computed by a Time-Delayed Hebbian Associative Learning Neural Network.
• Tam, D. C.. (2004). Computational Efficiency of Hexagonal Arrays in Compound Eyes.
• Tam, D. C. (2003). Computational Efficiency of Hexagonal Arrays in Compound Eyes.
• Tam, D. C. (2003). Real-Time Estimation of Predictive Firing Rate.
• Tam, D. C. (2002). A spike train analysis for quantifying inhibitory near synchrony in spike firings.
• Tam, D. C.. (2002). An alternate burst analysis for detecting intra-burst firings based on inter-burst periods.
• Tam, D. C.. (2001). A multi-unit spike train analysis for quantifying phase-relationships of near-synchrony firings.
• Tam, D. C.. (2001). A spike train analysis for correlating burst firings in neurons.
• Zouridakis, G. and Tam, D. C.. (2000). Identification of reliable spike templates in multi-unit extracellular recording using fuzzy clustering.
• Fitzurka, M. A. and Tam, D. C.. (1999). A joint interspike interval difference stochastic spike train analysis: detecting sequential changes in the firing trends of single neurons.
• Tam, D. C.. (1999). A spike train analysis for detecting temporal integration in neurons.
• Tam, D. C.. (1998). A cross-interval spike train analysis: the correlation between spike generation and temporal integration of doublets.
• Zouridakis, G. and Tam, D. C.. (1997). Multi-unit spike discrimination using wavelet transforms.
• Tam, D. C.. (1994). A hybrid time-shifted neural network for analyzing biological neuronal spike trains.
• Tam, D. C.. (1989). The physiological basis and implications of differential motor activation.
• 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.

Textbook

• Tam, N. (2018). Neuropsychopharmacology. 685. Toronto, ON, TopHat.
• Tam, N. (2018). Principles of Biology. 651. Toronto, ON, TopHat.
• Tam, N. (2014). Neuropsychopharmacology. 685.
• Tam, N. (2014). Principles of Biology. 651.
• Tam, N. (2013). Action Potential.
• Tam, N. (2013). ADHD: Attention Deficit Hyperactivity Disorder.
• Tam, N. (2013). Affective Disorders: Depression, Mania and Bipolar Disorder.
• Tam, N. (2013). Anxiety Disorder.
• Tam, N. (2013). Biological Systems.
• Tam, N. (2013). Brain Imaging Techniques.
• Tam, N. (2013). Circulatory System.
• Tam, N. (2013). Cognitive Learning.
• Tam, N. (2013). Cytoplasmic Release of Neurotransmitters.
• Tam, N. (2013). Digestive System.
• Tam, N. (2013). Dose-Response Curve.
• Tam, N. (2013). Endocrine System.
• Tam, N. (2013). Executive Functions.
• Tam, N. (2013). Experimental Methods in Neuropsychopharmacology.
• Tam, N. (2013). Immune System.
• Tam, N. (2013). Learning Mechanisms.
• Tam, N. (2013). Mind-Brain Connection.
• Tam, N. (2013). Motor System.
• Tam, N. (2013). Nervous System.
• Tam, N. (2013). Neuron.
• Tam, N. (2013). Neuropsychopharmacology: An Introduction.
• Tam, N. (2013). Neurotransmitter.
• Tam, N. (2013). Neurotransmitter Pathways.
• Tam, N. (2013). Origin of Species.
• Tam, N. (2013). Pharmacokinetics.
• Tam, N. (2013). Pharmacology: An Introduction.
• Tam, N. (2013). Reflex.
• Tam, N. (2013). Renal System.
• Tam, N. (2013). Reproductive System.
• Tam, N. (2013). Respiratory System.
• Tam, N. (2013). Schizophrenia.
• Tam, N. (2013). Scientific Methods.
• Tam, N. (2013). Sensoiry System.
• Tam, N. (2013). Synapse.
• Tam, D. (2009). Neuropsychopharmacology. Dubuque, IA, Kendall Hunt Publishing, \\.
• Tam, D. (2009). Principles of Biology. Dubuque, IA, Kendall Hunt Publishing.

Contracts, Grants and Sponsored Research

Grant - Research

• Tam, N.D. (Co-Principal), Dantu, R. (Principal), "MRI: CloudCar: Development of a Diverse Distributed Instrument for Vehicles in the Cloud," sponsored by NSF, Federal, $500000 Funded. (2012 - 2018).
• Tam, N. (Principal), "Neuro-prosthetic brain-robotic interface for movement control," sponsored by UNT, University of North Texas, $1000 Funded. (2012 - 2013).
• Tam, N.D. (Principal), "Decision making process in prefrontal cortex," sponsored by UNT, University of North Texas, $2000 Funded. (2004 - 2005).
• Tam, N.D. (Principal), "Executive control of prefrontal cortical functions," sponsored by UNT, University of North Texas, $2000 Funded. (2002 - 2003).
• Tam, N.D., "Analytical techniques for extracting spatio-temporal patterns in point-processes," sponsored by UNT, University of North Texas, Funded. (2000 - 2001).
• Tam, N.D. (Principal), "Autonomous Sensor-motor Robotic Control," sponsored by UNT, University of North Texas, $6000 Funded. (2000 - 2001).
• Tam, N.D. (Co-Principal), "Neuronal Network Response to Neuroactive Agents," sponsored by DARPA Department of Defense, Federal, $500000 Funded. (1999 - 2000).
• Tam, N.D. (Principal), "Extraction of Multiple Single-Unit Spike Signals from A Single Channel of Electrophysiological Recording Using Wavelet Transforms," sponsored by UNT, University of North Texas, $2000 Funded. (1997 - 1998).
• Tam, N.D. (Principal), "A Generalizable Biological Neuronal Simulator," sponsored by ONR (Office of Naval Research), Federal, $115455 Funded. (1994 - 1997).
• Tam, N.D. (Principal), "Neuromuscular Feedback Control in Culture," sponsored by UNT, University of North Texas, $3800 Funded. (1994 - 1995).
• Tam, N.D. (Principal), "Dynamics of Neural Processing in Interconnected Neurons," sponsored by ONR (Office of Naval Research), Federal, $200000 Funded. (1992 - 1994).
• Tam, N.D. (Principal), "Junior Faculty Summer Research Fellowship," sponsored by UNT, University of North Texas, $3500 Funded. (1994 - 1994).
• Tam, N.D. (Principal), "Neural Signal Analysis," sponsored by UNT, University of North Texas, $2500 Funded. (1993 - 1994).
• Tam, N.D. (Principal), "Junior Faculty Summer Research Fellowship," sponsored by UNT, University of North Texas, $3500 Funded. (1993 - 1993).
• Tam, N.D. (Principal), "Synaptic Interactions in Neuronal Networks," sponsored by NIH (National Institute of Health), Federal, $10000 Funded. (1991 - 1992).
• Tam, N.D. (Co-Principal), Dantu, R. (Principal), "MRI: CloudCar: Development of a Diverse Distributed Instrument for Vehicles in the Cloud," sponsored by National Science Foundation, FED, Funded. (2012 - 2018).

Grant - Service

• Tam, N. (Principal), "LGBT Faculty Network," sponsored by University of North Texas, University of North Texas, $5000 Funded. (2018 - 2019).
• Tam, N. (Co-Principal), "Embracing diversity Mentoring Grant," sponsored by University of North Texas, University of North Texas, $2000 Funded. (2016 - 2017).
• Tam, N. (Principal), "Community of Sharing Mentoring Grant," sponsored by University of North Texas, University of North Texas, $2000 Funded. (2015 - 2016).
• Tam, N. (Co-Principal), "Coping with the Otherness Mentoring Grant," sponsored by University of North Texas, University of North Texas, $5000 Funded. (2014 - 2015).
• Tam, N. (Principal), "Asian Faculty Mentoring Network," sponsored by University of North Texas, University of North Texas, $4200 Funded. (2013 - 2014).

Grant - Teaching

• Tam, N.D. (Other), "QEP IV Course Redesign Grant," sponsored by UNT, University of North Texas, $12000 Funded. (2009 - 2010).
• Tam, N.D. (Principal), "Building and Assessing a Learning Community among Students on the Web," sponsored by UNT, University of North Texas, Funded. (2001 - 2002).
• Tam, N.D. (Principal), "Scientific Instruments for Assessing Course Curriculum," sponsored by UNT, University of North Texas, Funded. (2000 - 2001).