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Publication Listings:

Referred Articles in Journals
Invited Articles in Journals and Peer-Reviewed Conference Proceedings
Book Reviews and Editorials
Chapters


Refereed Articles in Journals:
  • Baxter, D.A. and Bittner, G.D. The normal accumulation of facilitation during presynaptic inhibition. Brain Research 189: 535-539, 1980.
     
  • Baxter, D.A. and Bittner, G.D. Intracellular recordings from crustacean motor axons during presynaptic inhibition. Brain Research 223: 422-428, 1981.
     
  • Baxter, D.A., Johnston, D. and Strittmater, W.J. Protease inhibitors implicate metalloendoprotease in synaptic transmission at the mammalian neuromuscular junction. Proc. Natl. Acad. Sci. USA 80: 4174-4178, 1983.
     
  • Baxter, D.A., Bittner, G.D. and Brown, T.H. Quantal mechanism of long-term synaptic potentiation. Proc. Natl. Acad. Sci. USA 82: 5978-5982, 1985.
     
  • Baxter, D.A. and Byrne, J.H. Serotonergic modulation of two potassium currents in the pleural sensory neurons of Aplysia. J. Neurophysiol., 62: 665-679, 1989.
     
  • Buonomano, D.V., Baxter, D.A. and Byrne, J.H. Small Networks of empirically derived adaptive elements simulate some higher-order features of classical conditioning. Neural Networks, 3: 507-523, 1990.
     
  • Baxter, D.A. and Byrne, J.H. Differential effects of cAMP and serotonin on membrane current, action potential duration and excitability in somata of pleural sensory neurons of Aplysia. J. Neurophysiol., 64: 978-990, 1990.
     
  • Baxter, D.A. and Byrne, J.H. Reduction of voltage-activated K+ currents by forskolin is not mediated via cAMP in pleural sensory neurons of Aplysia. J. Neurophysiol., 64: 1474-1483, 1990.
     
  • Bittner, G.D. and Baxter, D.A. Synaptic plasticity at crayfish neuromuscular junctions: facilitation and augmentation. Synapse, 7: 235-243, 1991.
     
  • Baxter, D.A. and Bittner, G.D. Synaptic plasticity at crayfish neuromuscular junctions: presynaptic inhibition. Synapse, 7: 244-251, 1991.
     
  • Critz, S.D., Baxter, D.A. and Byrne, J.H. Effects of serotonin, FMRFamide, and myomodulin on the duration of action potentials, excitability, and membrane currents in tail sensory neurons of Aplysia. J. Neurophysiol., 66: 1912-1926, 1991.
     
  • Raymond, J.L., Baxter, D.A., Buonomano, D.V. and Byrne, J.H. A learning rule based on empirically-derived activity-dependent neuromodulation supports operant conditioning in a small network. Neural Networks, 5: 789-803, 1992.
     
  • Sugita, S., Goldsmith, J.R., Baxter, D.A. and Byrne, J.H. Involvement of protein kinase C in serotonin-induced spike broadening and synaptic facilitation in tail sensory neurons of Aplysia. J. Neurophysiol., 68: 643-651, 1992.
     
  • Canavier, C.C., Baxter, D.A., Clark, J.W. and Byrne, J.H. Nonlinear dynamics in a model neuron provide a novel mechanism for transient synaptic inputs to produce long-term alterations of postsynaptic activity. J. Neurophysiol. 69: 2252-2257, 1993.
     
  • White, J.A., Ziv, I., Cleary, L.J., Baxter, D.A. and Byrne, J.H. The role of interneurons in controlling the tail-withdrawal reflex in Aplysia: a network model. J. Neurophysiol. 70: 1777-1786, 1993.
     
  • White, J.A., Baxter, D.A. and Byrne, J.H. Analysis of the modulation by serotonin of the voltage-dependent potassium current in sensory neurons of Aplysia. Biophys. J. 66: 710-718, 1994.
     
  • Ziv, I, Baxter, D.A. and Byrne, J.H. Simulator for neural networks and action potentials: description and application. J. Neurophysiol. 71: 294-308, 1994.
     
  • Canavier, C.C., Baxter, D.A., Clark, J.W. and Byrne, J.H. Multiple modes of activity in a model neuron suggest a novel mechanism for the effects of neuromodulators. J. Neurophysiol. 72: 872-882, 1994.
     
  • Sugita, S., Baxter, D.A. and Byrne, J.H. Activators of protein kinase C mimic serotonin-induced modulation of a voltage-dependent potassium current in pleural sensory neurons of Aplysia. J. Neurophysiol. 72: 1240-1249, 1994.
     
  • Sugita, S., Baxter, D.A. and Byrne, J.H. cAMP-independent effects of 8-(4-parachlorophenylthio)-cyclic AMP on spike duration and membrane currents in pleural sensory neurons of Aplysia. J. Neurophysiol. 72: 1250-1259, 1994.
     
  • Butera, R.J., Clark, J.W., Canavier, C.C., Baxter, D.A. and Byrne, J.H. Analysis of the effects of modulatory agents on a modeled bursting neuron: dynamic interactions between voltage and calcium dependent systems. J. Computational Neurosci., 2: 19-44, 1995.
     
  • Lechner, H.A., Baxter, D.A., Clark, J.W. and Byrne, J.H. Bistability and its regulation by serotonin in the endogenously bursting neuron R15 in Aplysia. J. Neurophysiol., 75: 957-962, 1996.
     
  • Sugita, S., Baxter, D.A. and Byrne, J.H. Differential effects of 4 aminopyridine, serotonin, protein kinase C on facilitation of sensorimotor connections in Aplysia. J. Neurophysiol., 77: 177-185, 1997.
     
  • Canavier, C.C., Butera, R.J., Dror, R.O., Baxter, D.A., Clark, J.W. and Byrne, J.H. Phase response characteristics of model neurons determine which patterns are expressed in a ring circuit model of gait generation. Biol. Cybernetics, 77: 367-380, 1997.
     
  • Nakanishi, K., Zhang, F., Baxter, D.A., Eskin, A. and Byrne, J.H. Role of calcium-calmodulin-dependent protein kinase II in modulation of sensorimotor synapses in Aplysia. J. Neurophysiol., 78: 409-416, 1997.
     
  • Sugita, S., Baxter, D.A. and Byrne, J.H. Modulation of a cAMP/protein kinase A cascade by protein kinase C in sensory neurons of Aplysia. J. Neurosci., 17: 7237-7244, 1997.
     
  • Nargeot, R., Baxter, D.A. and Byrne, J.H. Contingent-dependent enhancement of rhythmic motor patterns: an in vitro analog of operant conditioning. J. Neurosci., 17: 8093-8105, 1997.
     
  • Kabotyanski, E.A., Baxter, D.A. and Byrne, J.H. Identification and characterization of catecholaminergic neuron B65 that initiates and modifies patterned activity in the buccal ganglia of Aplysia. J. Neurophysiol., 79: 605-621, 1998.
     
  • Smolen, P.D., Baxter, D.A. and Byrne, J.H. Frequency selectivity, multistability and oscillations emerge from models of genetic regulatory systems. Am. J. Physiol., 274 (Cell Physiol. 43): C531-C542, 1998.
     
  • Canavier, C.C., Baxter, D.A., Clark, J.W. and Byrne, J.H. Control of multistability in ring circuits of oscillators. Biol. Cybernetics, 80: 87-102, 1999.
     
  • Nargeot, R., Baxter, D.A. Patterson, G.W. and Byrne, J.H. Dopaminergic synapses mediate neuronal changes in an analogue of operant conditioning. J. Neurophysiol., 81: 1983-1987, 1999.
     
  • Nargeot, R., Baxter, D.A. and Byrne, J.H. In vitro analogue of operant conditioning in Aplysia. I. Contingent reinforcement modifies the functional dynamics of an identified Aplysia neuron. J. Neurosci., 19: 2247-2260, 1999.
     
  • Nargeot, R., Baxter, D.A. and Byrne, J.H. In vitro analogue of operant conditioning in Aplysia. II. Modifications of the functional dynamics of an identified neuron contributes to motor pattern selection. J. Neurosci., 19: 2261-2272, 1999.
     
  • Smolen, P., Baxter, D.A. and Byrne, J.H. Effects of macromolecular transport and stochastic fluctuations on the dynamics of genetic regulatory systems. Am. J. Physiol.277 (Cell Physiol. 46), C777-C790, 1999.
     
  • Baxter, D.A., Canavier, C.C., Clark, J.W. and Byrne, J.H. Computational model of the serotonergic modulation of sensory neurons in Aplysia. J. Neurophysiol., 82: 2914-2935, 1999.
     
  • Kabotyanski, E.A., Baxter, D.A., Cushman, S.J. and Byrne, J.H. Modulation of fictive feeding by dopamine and serotonin in Aplysia. J. Neurophysiol., 83: 374-392, 2000.
     
  • Smolen, P., Baxter, D.A. and Byrne, J.H. Modeling transcriptional control in gene networks – methods, recent results, and future directions. Bull. Math. Biol., 62: 247-292, 2000.
     
  • Lechner, H.A., Baxter, D.A. and Byrne, J.H. Classical conditioning of feeding in Aplysia: I. Behavioral analysis. J. Neurosci., 20: 3369-3376, 2000.
     
  • Lechner, H.A., Baxter, D.A. and Byrne, J.H. Classical conditioning of feeding in Aplysia: II. Neurophysiological correlates. J. Neurosci., 20: 3377-3386, 2000.
     
  • Smolen, P., Baxter, D.A. and Byrne, J.H. Mathematical modeling of gene networks. Neuron, 26: 567-580, 2000.
     
  • Smolen, P., Baxter, D.A. and Byrne, J.H. Modeling circadian oscillations with interlocking positive and negative feedback loops. J. Neurosci., 21: 6644-6656, 2001.
     
  • Susswein, A.J., Hurwitz, I., Thorne, R., Byrne, J.H. and Baxter, D.A. Mechanisms underlying fictive feeding in Aplysia: Coupling between a large neuron with plateau potentials and a spiking neuron. J. Neurophysiol., 87: 2307-2323, 2002.
     
  • Brembs, B., Lorenzette, F.D., Reyes, F., Baxter, D.A. and Byrne, J.H. Operant reward learning in Aplysia: Neuronal correlates and mechanisms. Science, 296: 1706-1709, 2002.
     
  • Nargeot, R., Baxter, D.A. and Byrne, J.H. Correlation between activity in neuron B52 and two features of fictive feeding in Aplysia. Neurosci. Lett., 328: 85-88, 2002.
     
  • Smolen, P., Baxter, D.A. and Byrne, J.H. A reduced model clarifies the role of feedback loops and time delays in the Drosophila circadian oscillator. Biophy. J., 83: 2349-2359, 2002.
     
  • Flynn, M., Cai, Y., Baxter, D.A. and Crow, T. A computational study of the role of spike broadening in synaptic facilitation of Hermissenda. J. Comput. Neurosci., 15: 29-41, 2003.
     
  • Cai, Y, Baxter, D.A. and Crow, T. Computational study of enhanced excitability in Hermissenda: Membrane conductances modulated by 5-HT. J. Comput. Neurosci., 15: 105-121, 2003.
     
  • Steffen, M.A., Seay, C.A., Amini, B., Cai, Y., Feigenspan, A., Baxter, D.A. and Marshak, D.W. Spontaneous activity of dopaminergic retinal neurons. Biophy. J., 85: 2158-2169, 2003.
     
  • Phares, G.A., Antzoulatos, E.G., Baxter, D.A. and Byrne, J.H. Burst-induced synaptic depression and its modulation contribute to information transfer at Aplysia sensorimotor synapses: empirical and computational analyses. J. Neurosci., 23: 8392-8401, 2003.
     
  • Antzoulatos, E., Clearly, L.J., Eskin, A., Baxter, D.A., and Byrne, J.H. Desensitization of postsynaptic glutamate receptors contributes to high-frequency homosynaptic depression of Aplysia sensorimotor synapses. Learn. Mem., 10: 309-313, 2003.
     
  • Mozzachiodi, R., Lechner, H., Baxter, D.A. and Byrne, J.H. An in vitro analogue of classical conditioning of feeding in Aplysia. Learn. Mem., 10: 478-494, 2003.
     
  • Luo, C., Clark, J.W., Canavier, C.C., Baxter, D.A. and Byrne, J.H. Multimodal behavior in a four neuron ring circuit: mode switching. IEEE Trans. Biomed. Eng., 51: 205-218, 2004.
     
  • Yu, X., Byrne, J.H. and Baxter, D.A. Modeling interactions between electrical activity and second-messenger cascades in Aplysia neuron R15. J. Neurophysiol., in press, 2004.
     
  • Smolen, P., Hardin, P.E., Lo, B.S., Baxter, D.A. and Byrne, J.H. Simulation of Drosophila circadian oscillations, mutations, and light responses by a model with VRI, PDP-1, and CLK. Biophy. J., in press, 2004.
     
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Invited Articles in Journals and Peer-Reviewed Conference Proceedings:
  • Gingrich, K.J., Baxter, D.A. and Byrne, J.H. Mathematical model of cellular mechanisms contributing to presynaptic facilitation. Brain Res. Bull., 21: 513-520, 1988.
     
  • Byrne, J.H., Baxter, D.A., Buonomano, D.V. and Raymond, J.L. Neuronal and network determinants of simple and higher-order features of associative learning: Experimental and modeling approaches. Cold Spring Harbor Symp. Quant. Biol. 55: 175-186, 1990.
     
  • Cleary, L.J., Baxter, D.A., Nazif, F. and Byrne, J.H. Neural mechanisms underlying sensitization of a defensive reflex in Aplysia. Biol. Bull., 180: 252-261, 1991.
     
  • Byrne, J.H., Baxter, D.A., Buonomano, D.V., Cleary, L.J., Eskin, A., Goldsmith, J., McClendon, E., Nazif, F., Noel F. and Scholz, K. Aspects of the neural and molecular bases of short- and long-term forms of nonassociative and associative learning in Aplysia. Annals New York Acad. Sci., 627: 124-149, 1991.
     
  • Baxter, D.A. and Byrne, J.H. Ionic conductance mechanisms contributing to the intrinsic electrophysiological properties of neurons. Current Opinion Neurobiol., 1: 105-112, 1991.
     
  • Byrne, J.H., Canavier, C.C., Lechner, H., Clark, J.W. and Baxter, D.A. Role of nonlinear dynamical properties of a modeled bursting neuron in information processing and storage. Netherlands J. Zool., 44: 339-356, 1994.
     
  • Kabotyanski, E.A., Ziv, I., Baxter, D.A. and Byrne, J.H. Experimental and computational analyses of a central pattern generator underlying aspects of feeding behavior in Aplysia. Netherlands J. Zool., 44: 357-373, 1994.
     
  • Baxter, D.A. and Byrne, J.H. Complex oscillations in simple neural systems. Biol. Bull. 192: 167-169, 1997.
     
  • Chen, H., Yuan, B., Baxter, D.A. and Byrne, J.H. Signal processing and computational model for neural networks. ICSP’02 Proc., 2: 1532-1535, 2002.
     
  • Chen, H., Yuan, B., Baxter, D.A. and Byrne, J.H. Research and implementation of computer simulation system for neural networks. ICSP’02 Proc., 2: 1834-1837, 2002.
     
  • Chen, H., Yuan, B., Baxter, D.A. and Byrne, J.H. Parallel computation in computer simulation for neural networks. Proc. IEEE TENCOM’02, 1: 641-644, 2002.
     
  • Baxter, D.A. and Byrne, J.H. Feeding behavior of Aplysia: A model system for the cellular analysis of associative learning. Learn. Mem., under review, 2003.
     
  • Smolen, P., Baxter, D.A. and Byrne, J.H. Reduced model of the circadian oscillators in Neurospora crassa and Drosophila melanogaster reveal mechanistic similarities. OMICS: J. Intergrative Biol., 7: 335-352, 2003.
     
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Book Reviews and Editorials:
  • Baxter, D.A. Review of Connectionistic Problem Solving: Computational Aspects of Biological Learning (by S.E. Hampson, Birkhauser, Boston, 1990). Neural Networks, 5: 721-722, 1992.
     
  • Raymond, J.L., Baxter, D.A., Buonomano, D.V and Byrne, J.H. Response to letter by Gaudiano et al. Neural Networks, 7: 406-407, 1994.
     
Chapters:
  • Byrne, J.H., Gingrich, K.J. and Baxter, D.A. Computational capabilities of single neurons: relationship to simple forms of associative and nonassociative learning in Aplysia. In: R.D. Hawkins and G.H. Bower (Eds.), Computational Models of Learning (Vol. 22 The Psych. Learn. Motiv.) (pp. 31-63). New York, Academic Press, 1989.
     
  • Byrne, J.H., Cleary, L.J. and Baxter, D.A. Aspects of the neural and molecular mechanisms of short-term sensitization in Aplysia: modulatory effects of serotonin and cAMP on duration of action potentials, excitability and membrane currents in tail sensory neurons. In: L. Squire and E. Lindenlaub (Eds.), The Biology of Memory (pp. 7-28). New York, F. K. Schattauer Verlag, 1990.
     
  • Baxter, D.A., Raymond, J.L., Buonomano, D.V., Cook, D.G., Kuenzi, F.M., Carew, T.J. and Byrne, J.H. Empirically derived adaptive elements and networks simulate associative learning. In: M.L. Commons, S. Grossberg and J.E.R. Staddon (Eds.), Quantitative Analyses of Behavior Volume XII: Neural Network Models of Conditioning and Action (pp. 13-52). Hillsdale, Lawrence Erlbaum and Associates, 1991.
     
  • Baxter, D.A. and Byrne, J.H. Learning rules in neurobiology. In: D. Gardner (Ed.), The Neurobiology of Neural Networks (pp 71-106). Cambridge: MIT Press, 1993.
     
  • Byrne, J.H., Sugita, S. and Baxter, D.A. Roles of multiple second messenger systems in the serotonergic modulation of spike duration, membrane currents and synaptic connections of Aplysia. In: Koike, H., Kidokoro, Y.,Takahashi, K. and Kanasedi, T. (Eds.), Basic Neuroscience in Invertebrates (pp. 229-246). Tokyo, Japan Society Societies Press, , 1996.
     
  • Baxter, M.F. and Baxter, D.A. Neural mechanisms of learning and memory. In: Cohen, H. (Ed.), Neuroscience for Rehabilitation, 2nd Edition (pp. 321-348). Philadelphia: Lippincott, 1999.
     
  • Baxter, D.A., Canavier, C.C., Lechner, H., Butera, R.J., DeFranceschi, A.A., Clark, J.W. and Byrne, J.H. Coexisting stable oscillatory states in single cell and multicellular neuronal oscillators. In: Levine, D., Brown, V. and Shirey, T. (Eds.), Oscillations in Neural Systems (pp. 51-77). Hillsdale: Lawrence Erlbaum and Associates, 2000.
     
  • Canavier, C.C., Baxter, D.A. and Byrne, J.H. (February 2000) Repetitive action potential firing. In: Nature Encyclopedia of Life Sciences, London: Nature Publishing Group. http://www.els.net/ [doi:10.1038/npg.els/0000084]. (Updated in 2004)
     
  • Hayes, R.D., Byrne, J.H., and Baxter, D.A. Neurosimulation: Tools and resources. In: Arbib, M.A. (Ed.), The Handbook of Brain Theory and Neural Networks, Second Edition (pp. 776-780). Cambridge, MIT Press, 2003.
     
  • Baxter, D.A., Canavier, C.C. and Byrne, J.H. Dynamical properties of excitable membranes. In: Byrne, J.H. and Roberts, J. (Eds.), From Molecules to Networks: An Introduction to Cellular and Molecular Neuroscience (pp. 161-196). New York, Academic Press, 2004.
     
  • Smolen, P., Baxter, D.A., and Byrne, J.H. Mathematical modeling and analysis of intracellular signaling pathways. In: Byrne, J.H. and Roberts, J. (Eds.), From Molecules to Networks: An Introduction to Cellular and Molecular Neuroscience (pp. 391-430). New York, Academic Press, 2004.
     
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Comments & questions to: Douglas.Baxter@uth.tmc.edu
Copyright © 2004, All Rights Reserved
   
The Department of Neurobiology and Anatomy
The University of Texas Health Science Center at Houston
Last Modified: March 24, 2004