selected publications academic article Zhang, Y., Smolen, P., Alberini, C. M., Baxter, D. A., & Byrne, J. H. (2022). Computational analysis of memory consolidation following inhibitory avoidance (IA) training in adult and infant rats: Critical roles of CaMKII and MeCP2. PLoS Computational Biology. 18(6), e1010239-e1010239. Momohara, Y., Neveu, C. L., Chen, H., Baxter, D. A., & Byrne, J. H. (2022). Specific Plasticity Loci and Their Synergism Mediate Operant Conditioning. The Journal of Neuroscience. 42(7), 1211-1223. Costa, R. M., Baxter, D. A., & Byrne, J. H. (2022). Neuronal population activity dynamics reveal a low-dimensional signature of operant learning in Aplysia. Communications Biology. 5(1), 90. Smolen, P., Wood, M. A., Baxter, D. A., & Byrne, J. H. (2021). Modeling suggests combined-drug treatments for disorders impairing synaptic plasticity via shared signaling pathways. Journal of Computational Neuroscience. 49(1), 37-56. Smolen, P., Baxter, D. A., & Byrne, J. H. (2020). Comparing Theories for the Maintenance of Late LTP and Long-Term Memory: Computational Analysis of the Roles of Kinase Feedback Pathways and Synaptic Reactivation. Frontiers in Computational Neuroscience. 14, 569349. Costa, R. M., Baxter, D. A., & Byrne, J. H. (2020). Computational model of the distributed representation of operant reward memory: combinatoric engagement of intrinsic and synaptic plasticity mechanisms. Learning and Memory. 27(6), 236-249. Smolen, P., Baxter, D. A., & Byrne, J. H. (2019). How can memories last for days, years, or a lifetime? Proposed mechanisms for maintaining synaptic potentiation and memory. Learning and Memory. 26(5), 133-150. Smolen, P., Baxter, D. A., & Byrne, J. H. (2018). Paradoxical LTP maintenance with inhibition of protein synthesis and the proteasome suggests a novel protein synthesis requirement for early LTP reversal. Journal of Theoretical Biology. 457, 79-87. Neveu, C. L., Costa, R. M., Homma, R., Nagayama, S., Baxter, D. A., & Byrne, J. H. (2017). Unique Configurations of Compression and Truncation of Neuronal Activity Underlie l-DOPA-Induced Selection of Motor Patterns in Aplysia. eNeuro. 4(5), eneuro.0206-eneu17.2017. Cai, Z., Neveu, C. L., Baxter, D. A., Byrne, J. H., & Aazhang, B. (2017). Inferring neuronal network functional connectivity with directed information. Journal of Neurophysiology. 118(2), 1055-1069. Zhang, Y., Smolen, P., Baxter, D. A., & Byrne, J. H. (2017). Biphasic Regulation of p38 MAPK by Serotonin Contributes to the Efficacy of Stimulus Protocols That Induce Long-Term Synaptic Facilitation. eNeuro. 4(1), eneuro.0373-eneu16.2017. Zhang, Y., Smolen, P., Alberini, C. M., Baxter, D. A., & Byrne, J. H. (2016). Computational model of a positive BDNF feedback loop in hippocampal neurons following inhibitory avoidance training. Learning and Memory. 23(12), 714-722. Smolen, P., Baxter, D. A., & Byrne, J. H. (2014). Simulations suggest pharmacological methods for rescuing long-term potentiation. Journal of Theoretical Biology. 360, 243-250. Zhou, L., Baxter, D. A., & Byrne, J. H. (2014). Contribution of PKC to the maintenance of 5-HT-induced short-term facilitation at sensorimotor synapses of Aplysia. Journal of Neurophysiology. 112(8), 1936-1949. Zhang, Y., Smolen, P., Baxter, D. A., & Byrne, J. H. (2014). Computational analyses of synergism in small molecular network motifs. PLoS Computational Biology. 10(3), e1003524-e1003524. Liu, R., Zhang, Y., Baxter, D. A., Smolen, P., Cleary, L. J., & Byrne, J. H. (2013). Deficit in long-term synaptic plasticity is rescued by a computationally predicted stimulus protocol. The Journal of Neuroscience. 33(16), 6944-6949. Smolen, P., Baxter, D. A., & Byrne, J. H. (2012). Molecular constraints on synaptic tagging and maintenance of long-term potentiation: a predictive model. PLoS Computational Biology. 8(8), e1002620-e1002620. Zhang, Y., Liu, R., Heberton, G. A., Smolen, P., Baxter, D. A., Cleary, L. J., & Byrne, J. H. (2011). Computational design of enhanced learning protocols. Nature Neuroscience. 15(2), 294-297. Lorenzetti, F. D., Baxter, D. A., & Byrne, J. H. (2011). Classical conditioning analog enhanced acetylcholine responses but reduced excitability of an identified neuron. The Journal of Neuroscience. 31(41), 14789-14793. Zhang, Y., Smolen, P., Baxter, D. A., & Byrne, J. H. (2010). The sensitivity of memory consolidation and reconsolidation to inhibitors of protein synthesis and kinases: computational analysis. Learning and Memory. 17(9), 428-439. Baxter, D. A., Cataldo, E., & Byrne, J. H. (2010). Autaptic excitation contributes to bistability and rhythmicity in the neural circuit for feeding in Aplysia. BMC Neuroscience. 11(Suppl 1), p58. Baxter, D. A., & Crow, T. (2010). Network model for visually mediated ciliary locomotion in Hermissenda. BMC Neuroscience. 11(Suppl 1), p59. Smolen, P., Baxter, D. A., & Byrne, J. H. (2009). Interlinked dual-time feedback loops can enhance robustness to stochasticity and persistence of memory. Physical Review E: Statistical, Nonlinear, and Soft Matter Physics. 79(3 Pt 1), 031902. Mozzachiodi, R., Lorenzetti, F. D., Baxter, D. A., & Byrne, J. H. (2008). Changes in neuronal excitability serve as a mechanism of long-term memory for operant conditioning. Nature Neuroscience. 11(10), 1146-1148. Lorenzetti, F. D., Baxter, D. A., & Byrne, J. H. (2008). Molecular mechanisms underlying a cellular analog of operant reward learning. Neuron. 59(5), 815-828. CATALDO, E., BRUNELLI, M., AV-RON, E., CAI, Y., & BAXTER, D. A. (2008). GEOMETRY, ACTIVITY-DEPENDENT MECHANISMS, MEMBRANE KINETICS AND CHANNEL DENSITY DISTRIBUTION INTERPLAY IN SINGLE NEURON PLASTICITY: A COMPUTATIONAL STUDY. Biophysical Reviews and Letters. 3(01n02), 135-155. Smolen, P., Baxter, D. A., & Byrne, J. H. (2008). Bistable MAP kinase activity: a plausible mechanism contributing to maintenance of late long-term potentiation. American Journal of Physiology: Cell Physiology. 294(2), C503-C515. Baxter, D. A., & Byrne, J. H. (2007). Short-Term Plasticity in a Computational Model of the Tail-Withdrawal Circuit in Aplysia. Neurocomputing. 70(10-12), 1993-1999. Song, H., Smolen, P., Av-Ron, E., Baxter, D. A., & Byrne, J. H. (2007). Dynamics of a minimal model of interlocked positive and negative feedback loops of transcriptional regulation by cAMP-response element binding proteins. Biophysical Journal. 92(10), 3407-3424. Baxter, D. A., & Byrne, J. H. (2006). Feeding behavior of Aplysia: a model system for comparing cellular mechanisms of classical and operant conditioning. Learning and Memory. 13(6), 669-680. Cai, Y., Flynn, M., Baxter, D. A., & Crow, T. (2006). Role of A-type K+ channels in spike broadening observed in soma and axon of Hermissenda type-B photoreceptors: a simulation study. Journal of Computational Neuroscience. 21(1), 89-99. Av-Ron, E., Byrne, J. H., & Baxter, D. A. (2006). Teaching basic principles of neuroscience with computer simulations. Journal of Undergraduate Neuroscience Education. 4(2), A40-A52. Smolen, P., Baxter, D. A., & Byrne, J. H. (2006). A model of the roles of essential kinases in the induction and expression of late long-term potentiation. Biophysical Journal. 90(8), 2760-2775. Song, H., Smolen, P., Av-Ron, E., Baxter, D. A., & Byrne, J. H. (2006). Bifurcation and singularity analysis of a molecular network for the induction of long-term memory. Biophysical Journal. 90(7), 2309-2325. Lorenzetti, F. D., Mozzachiodi, R., Baxter, D. A., & Byrne, J. H. (2006). Classical and operant conditioning differentially modify the intrinsic properties of an identified neuron. Nature Neuroscience. 9(1), 17-19. Hayes, R. D., Byrne, J. H., Cox, S. J., & Baxter, D. A. (2005). Estimation of single-neuron model parameters from spike train data. Neurocomputing. 65, 517-529. Reyes, F. D., Mozzachiodi, R., Baxter, D. A., & Byrne, J. H. (2005). Reinforcement in an in vitro analog of appetitive classical conditioning of feeding behavior in Aplysia: blockade by a dopamine antagonist. Learning and Memory. 12(3), 216-220. Pettigrew, D. B., Smolen, P., Baxter, D. A., & Byrne, J. H. (2005). Dynamic properties of regulatory motifs associated with induction of three temporal domains of memory in aplysia. Journal of Computational Neuroscience. 18(2), 163-181. Cataldo, E., Brunelli, M., Byrne, J. H., Av-Ron, E., Cai, Y., & Baxter, D. A. (2005). Computational model of touch sensory cells (T Cells) of the leech: role of the afterhyperpolarization (AHP) in activity-dependent conduction failure. Journal of Computational Neuroscience. 18(1), 5-24. Xiao, J., Cai, Y., Yen, J., Steffen, M., Baxter, D. A., Feigenspan, A., & Marshak, D. (2004). Voltage-clamp analysis and computational model of dopaminergic neurons from mouse retina. Visual Neuroscience. 21(6), 835-849. Wstenberg, D. G., Boytcheva, M., Grnewald, B., Byrne, J. H., Menzel, R., & Baxter, D. A. (2004). Current- and voltage-clamp recordings and computer simulations of Kenyon cells in the honeybee. Journal of Neurophysiology. 92(4), 2589-2603. Brembs, B., Baxter, D. A., & Byrne, J. H. (2004). Extending in vitro conditioning in Aplysia to analyze operant and classical processes in the same preparation. Learning and Memory. 11(4), 412-420. Yu, X., Byrne, J. H., & Baxter, D. A. (2004). Modeling interactions between electrical activity and second-messenger cascades in Aplysia neuron R15. Journal of Neurophysiology. 91(5), 2297-2311. Luo, C., Clark, J. W., Canavier, C. C., Baxter, D. A., & Byrne, J. H. (2004). Multimodal behavior in a four neuron ring circuit: mode switching. IEEE Transactions on Biomedical Engineering. 51(2), 205-218. Smolen, P., Hardin, P. E., Lo, B. S., Baxter, D. A., & Byrne, J. H. (2004). Simulation of Drosophila circadian oscillations, mutations, and light responses by a model with VRI, PDP-1, and CLK. Biophysical Journal. 86(5), 2786-2802. Smolen, P., Baxter, D. A., & Byrne, J. H. (2003). Reduced models of the circadian oscillators in Neurospora crassa and Drosophila melanogaster illustrate mechanistic similarities. OMICS: A Journal of Integrative Biology. 7(4), 337-354. Mozzachiodi, R., Lechner, H. A., Baxter, D. A., & Byrne, J. H. (2003). In vitro analog of classical conditioning of feeding behavior in aplysia. Learning and Memory. 10(6), 478-494. Steffen, M. A., Seay, C. A., Amini, B., Cai, Y., Feigenspan, A., Baxter, D. A., & Marshak, D. W. (2003). Spontaneous activity of dopaminergic retinal neurons. Biophysical Journal. 85(4), 2158-2169. Phares, G. A., Antzoulatos, E. G., Baxter, D. A., & Byrne, J. H. (2003). Burst-induced synaptic depression and its modulation contribute to information transfer at Aplysia sensorimotor synapses: empirical and computational analyses. The Journal of Neuroscience. 23(23), 8392-8401. Antzoulatos, E. G., Cleary, L. J., Eskin, A., Baxter, D. A., & Byrne, J. H. (2003). Desensitization of postsynaptic glutamate receptors contributes to high-frequency homosynaptic depression of aplysia sensorimotor connections. Learning and Memory. 10(5), 309-313. Flynn, M., Cai, Y., Baxter, D. A., & Crow, T. (2003). A computational study of the role of spike broadening in synaptic facilitation of Hermissenda. Journal of Computational Neuroscience. 15(1), 29-41. Cai, Y., Baxter, D. A., & Crow, T. (2003). Computational study of enhanced excitability in Hermissenda: membrane conductances modulated by 5-HT. Journal of Computational Neuroscience. 15(1), 105-121. Smolen, P., Baxter, D. A., & Byrne, J. H. (2002). A reduced model clarifies the role of feedback loops and time delays in the Drosophila circadian oscillator. Biophysical Journal. 83(5), 2349-2359. Nargeot, R., Baxter, D. A., & Byrne, J. H. (2002). Correlation between activity in neuron B52 and two features of fictive feeding in Aplysia. NEUROSCIENCE LETTERS. 328(2), 85-88. Susswein, A. J., Hurwitz, I., Thorne, R., Byrne, J. H., & Baxter, D. A. (2002). Mechanisms underlying fictive feeding in aplysia: coupling between a large neuron with plateau potentials activity and a spiking neuron. Journal of Neurophysiology. 87(5), 2307-2323. Brembs, B., Lorenzetti, F. D., Reyes, F. D., Baxter, D. A., & Byrne, J. H. (2002). Operant reward learning in Aplysia: neuronal correlates and mechanisms. Science. 296(5573), 1706-1709. Smolen, P., Baxter, D. A., & Byrne, J. H. (2001). Modeling circadian oscillations with interlocking positive and negative feedback loops. The Journal of Neuroscience. 21(17), 6644-6656. Lechner, H. A., Baxter, D. A., & Byrne, J. H. (2000). Classical conditioning of feeding in Aplysia: I. Behavioral analysis. The Journal of Neuroscience. 20(9), 3369-3376. Lechner, H. A., Baxter, D. A., & Byrne, J. H. (2000). Classical conditioning of feeding in Aplysia: II. Neurophysiological correlates. The Journal of Neuroscience. 20(9), 3377-3386. Smolen, P., Baxter, D. A., & Byrne, J. H. (2000). Mathematical modeling of gene networks. Neuron. 26(3), 567-580. Smolen, P., Baxter, D. A., & Byrne, J. H. (2000). Modeling transcriptional control in gene networks--methods, recent results, and future directions. Bulletin of Mathematical Biology. 62(2), 247-292. Kabotyanski, E. A., Baxter, D. A., Cushman, S. J., & Byrne, J. H. (2000). Modulation of fictive feeding by dopamine and serotonin in aplysia. Journal of Neurophysiology. 83(1), 374-392. Smolen, P., Baxter, D. A., & Byrne, J. H. (1999). Effects of macromolecular transport and stochastic fluctuations on dynamics of genetic regulatory systems. AMERICAN JOURNAL OF PHYSIOLOGY. 277(4), C777-C790. Nargeot, R., Baxter, D. A., Patterson, G. W., & Byrne, J. H. (1999). Dopaminergic synapses mediate neuronal changes in an analogue of operant conditioning. Journal of Neurophysiology. 81(4), 1983-1987. Nargeot, R., Baxter, D. A., & Byrne, J. H. (1999). In vitro analog of operant conditioning in aplysia. I. Contingent reinforcement modifies the functional dynamics of an identified neuron. The Journal of Neuroscience. 19(6), 2247-2260. Nargeot, R., Baxter, D. A., & Byrne, J. H. (1999). In vitro analog of operant conditioning in aplysia. II. Modifications of the functional dynamics of an identified neuron contribute to motor pattern selection. The Journal of Neuroscience. 19(6), 2261-2272. Canavier, C. C., Baxter, D. A., Clark, J. W., & Byrne, J. H. (1999). Control of multistability in ring circuits of oscillators. Biological Cybernetics: communication and control in organisms and automata. 80(2), 87-102. Baxter, D. A., Canavier, C. C., Clark, J. W., & Byrne, J. H. (1999). Computational model of the serotonergic modulation of sensory neurons in Aplysia. Journal of Neurophysiology. 82(6), 2914-2935. Smolen, P., Baxter, D. A., & Byrne, J. H. (1998). Frequency selectivity, multistability, and oscillations emerge from models of genetic regulatory systems. AMERICAN JOURNAL OF PHYSIOLOGY. 274(2), C531-C542. Kabotyanski, E. A., Baxter, D. A., & Byrne, J. H. (1998). Identification and characterization of catecholaminergic neuron B65, which initiates and modifies patterned activity in the buccal ganglia of Aplysia. Journal of Neurophysiology. 79(2), 605-621. Canavier, C. C., Butera, R. J., Dror, R. O., Baxter, D. A., Clark, J. W., & Byrne, J. H. (1997). Phase response characteristics of model neurons determine which patterns are expressed in a ring circuit model of gait generation. Biological Cybernetics: communication and control in organisms and automata. 77(6), 367-380. Nargeot, R., Baxter, D. A., & Byrne, J. H. (1997). Contingent-dependent enhancement of rhythmic motor patterns: an in vitro analog of operant conditioning. The Journal of Neuroscience. 17(21), 8093-8105. Sugita, S., Baxter, D. A., & Byrne, J. H. (1997). Modulation of a cAMP/protein kinase A cascade by protein kinase C in sensory neurons of Aplysia. The Journal of Neuroscience. 17(19), 7237-7244. Nakanishi, K., Zhang, F., Baxter, D. A., Eskin, A., & Byrne, J. H. (1997). Role of calcium-calmodulin-dependent protein kinase II in modulation of sensorimotor synapses in Aplysia. Journal of Neurophysiology. 78(1), 409-416. Sugita, S., Baxter, D. A., & Byrne, J. H. (1997). Differential effects of 4-aminopyridine, serotonin, and phorbol esters on facilitation of sensorimotor connections in Aplysia. Journal of Neurophysiology. 77(1), 177-185. Lechner, H. A., Baxter, D. A., Clark, J. W., & Byrne, J. H. (1996). Bistability and its regulation by serotonin in the endogenously bursting neuron R15 in Aplysia. Journal of Neurophysiology. 75(2), 957-962. Butera, R. J., Clark, J. W., Canavier, C. C., Baxter, D. A., & Byrne, J. H. (1995). Analysis of the effects of modulatory agents on a modeled bursting neuron: dynamic interactions between voltage and calcium dependent systems. Journal of Computational Neuroscience. 2(1), 19-44. Sugita, S., Baxter, D. A., & Byrne, J. H. (1994). Activators of protein kinase C mimic serotonin-induced modulation of a voltage-dependent potassium current in pleural sensory neurons of Aplysia. Journal of Neurophysiology. 72(3), 1240-1249. Sugita, S., Baxter, D. A., & Byrne, J. H. (1994). cAMP-independent effects of 8-(4-parachlorophenylthio)-cyclic AMP on spike duration and membrane currents in pleural sensory neurons of Aplysia. Journal of Neurophysiology. 72(3), 1250-1259. Canavier, C. C., Baxter, D. A., Clark, J. W., & Byrne, J. H. (1994). Multiple modes of activity in a model neuron suggest a novel mechanism for the effects of neuromodulators. Journal of Neurophysiology. 72(2), 872-882. White, J. A., Baxter, D. A., & Byrne, J. H. (1994). Analysis of the modulation by serotonin of a voltage-dependent potassium current in sensory neurons of Aplysia. Biophysical Journal. 66(3 Pt 1), 710-718. Byrne, J. H., Canavier, C. C., Baxter, D. A., & Clark, J. W. (1994). Nonlinear and Chaotic Dynamics in a Model Neuron Serve as Putative Memory Mechanisms. IFAC-PapersOnLine. 27(1), 489-489. Raymond, J. L., Baxter, D. A., Buonomano, D. V., & Byrne, J. H. (1994). Response to letter by Gaudiano et al. Neural Networks. 7(2), 406-407. Ziv, I., Baxter, D. A., & Byrne, J. H. (1994). Simulator for neural networks and action potentials: description and application. Journal of Neurophysiology. 71(1), 294-308. White, J. A., Ziv, I., Cleary, L. J., Baxter, D. A., & Byrne, J. H. (1993). The role of interneurons in controlling the tail-withdrawal reflex in Aplysia: a network model. Journal of Neurophysiology. 70(5), 1777-1786. Canavier, C. C., Baxter, D. A., Clark, J. W., & Byrne, J. H. (1993). Nonlinear dynamics in a model neuron provide a novel mechanism for transient synaptic inputs to produce long-term alterations of postsynaptic activity. Journal of Neurophysiology. 69(6), 2252-2257. Kabotyanski, E. A., Byrne, J. H., Baxter, D. A., & Ziv, I. (1993). Experimental and Computational Analyses of a Central Pattern Generator Underlying Aspects of Feeding Behaviour of Aplysia. Animal Biology. 44(3-4), 357-373. Baxter, D. A., Byrne, J. H., Clark, J. W., Canavier, C. C., & Lechner, H. (1993). Role of Nonlinear Dynamical Properties of a Modelled Bursting Neuron in Information Processing and Storage. Animal Biology. 44(3-4), 339-356. Raymond, J. L., Baxter, D. A., Buonomano, D. V., & Byrne, J. H. (1992). A learning rule based on empirically-derived activity-dependent neuromodulation supports operant conditioning in a small network. Neural Networks. 5(5), 789-803. Sugita, S., Goldsmith, J. R., Baxter, D. A., & Byrne, J. H. (1992). Involvement of protein kinase C in serotonin-induced spike broadening and synaptic facilitation in sensorimotor connections of Aplysia. Journal of Neurophysiology. 68(2), 643-651. Baxter, D. A. (1992). $39.00, 276 ppS.E.HampsonConnectionistic Problem Solving: Computational Aspects of Biological Learning1990Birkhauser0-8176-3450-9. Neural Networks. 5(4), 721-722. Critz, S. D., Baxter, D. A., & Byrne, J. H. (1991). Modulatory effects of serotonin, FMRFamide, and myomodulin on the duration of action potentials, excitability, and membrane currents in tail sensory neurons of Aplysia. Journal of Neurophysiology. 66(6), 1912-1926. Byrne, J. H., Baxter, D. A., Buonomano, D. V., Cleary, L. J., Eskin, A., Goldsmith, J. R., ... Scholz, K. P. (1991). Neural and molecular bases of nonassociative and associative learning in Aplysia. Annals of the New York Academy of Sciences. 627(1), 124-149. Baxter, D. A., & Byrne, J. H. (1991). Ionic conductance mechanisms contributing to the electrophysiological properties of neurons. Current Opinion in Neurobiology. 1(1), 105-112. Cleary, L. J., Baxter, D. A., Nazif, F., & Byrne, J. H. (1991). Neural Mechanisms Underlying Sensitization of a Defensive Reflex in Aplysia. Biological Bulletin. 180(2), 252-261. Bittner, G. D., & Baxter, D. A. (1991). Synaptic plasticity at crayfish neuromuscular junctions: facilitation and augmentation. Synapse (New York). 7(3), 235-243. Baxter, D. A., & Bittner, G. D. (1991). Synaptic plasticity at crayfish neuromuscular junctions: presynaptic inhibition. Synapse (New York). 7(3), 244-251. Baxter, D. A., & Byrne, J. H. (1990). Reduction of voltage-activated K+ currents by forskolin is not mediated via cAMP in pleural sensory neurons of Aplysia. Journal of Neurophysiology. 64(5), 1474-1483. Baxter, D. A., & Byrne, J. H. (1990). Differential effects of cAMP and serotonin on membrane current, action-potential duration, and excitability in somata of pleural sensory neurons of Aplysia. Journal of Neurophysiology. 64(3), 978-990. Byrne, J. H., Baxter, D. A., Buonomano, D. V., & Raymond, J. L. (1990). Neuronal and network determinants of simple and higher-order features of associative learning: experimental and modeling approaches. Cold Spring Harbor Laboratory: Symposia on Quantitative Biology. 55(0), 175-186. Buonomano, D. V., Baxter, D. A., & Byrne, J. H. (1990). Small networks of empirically derived adaptive elements simulate some higher-order features of classical conditioning. Neural Networks. 3(5), 507-523. Baxter, D. A., & Byrne, J. H. (1989). Serotonergic modulation of two potassium currents in the pleural sensory neurons of Aplysia. Journal of Neurophysiology. 62(3), 665-679. Gingrich, K. J., Baxter, D. A., & Byrne, J. H. (1988). Mathematical model of cellular mechanisms contributing to presynaptic facilitation. Brain Research Bulletin. 21(3), 513-520. Baxter, D. A., Bittner, G. D., & Brown, T. H. (1985). Quantal mechanism of long-term synaptic potentiation. Proceedings of the National Academy of Sciences of USA. 82(17), 5978-5982. Baxter, D. A., & Bittner, G. D. (1981). Intracellular recordings from crustacean motor axons during presynaptic inhibition. BRAIN RESEARCH. 223(2), 422-428. Baxter, D. A., & Bittner, G. D. (1980). The normal accumulation of facilitation during presynaptic inhibition. BRAIN RESEARCH. 189(2), 535-539. chapter Knowlton, C. J., Baxter, D. A., Byrne, J. H., & Canavier, C. C. (2020). Repetitive Action Potential Firing. eLS. (pp. 1-13). Wiley. Smolen, P. D., Baxter, D. A., & Byrne, J. H. (2014). Chapter 6 Modeling and Analysis of Intracellular Signaling Pathways. From Molecules to Networks. (pp. 175-205). Elsevier. Mozzachiodi, R., Baxter, D. A., & Byrne, J. H. (2013). Chapter 15 Comparison of Operant and Classical Conditioning of Feeding Behavior in Aplysia. Handbook of Behavioral Neuroscience. Invertebrate Learning and Memory. (pp. 183-193). Elsevier. Baxter, D. A., Cataldo, E., & Byrne, J. H. (2013). Chapter 7 Computational Analyses of Learning Networks. Handbook of Behavioral Neuroscience. Invertebrate Learning and Memory. (pp. 69-80). Elsevier. Mozzachiodi, R., Baxter, D. A., & Byrne, J. H. (2013). Comparison of Operant and Classical Conditioning of Feeding Behavior in Aplysia. Handbook of Behavioral Neuroscience. Invertebrate Learning and Memory. (pp. 183-193). Elsevier. Baxter, D. A., & Byrne, J. H. (2007). Simulator for neural networks and action potentials. Methods in Molecular Biology. Neuroinformatics. (pp. 127-154). Springer Nature. Cataldo, E., Byrne, J. H., & Baxter, D. A. (2006). Computational Model of a Central Pattern Generator. Lecture Notes in Artificial Intelligence. Computational Methods in Systems Biology. (pp. 242-256). Springer Nature. Canavier, C. C., Baxter, D. A., & Byrne, J. H. (2006). Repetitive Action Potential Firing. eLS. Wiley. Smolen, P. D., Byrne, J. H., & Baxter, D. A. (2004). Chapter 14 Mathematical Modeling and Analysis of Intracellular Signaling Pathways. From Molecules to Networks. (pp. 391-429). Elsevier. Baxter, D. A., Canavier, C. C., & Byrne, J. H. (2004). Chapter 7 Dynamical Properties of Excitable Membranes. From Molecules to Networks. (pp. 161-196). Elsevier. Canavier, C. C., Baxter, D. A., & Byrne, J. H. (2001). Repetitive Action Potential Firing. eLS. Wiley. Byrne, J. H., Gingrich, K. J., & Baxter, D. A. (1989). Computational Capabilities of Single Neurons: Relationship to Simple Forms of Associative and Nonassociative Learning in Aplysia. Psychology of Learning and Motivation: Advances in Research and Theory. Computational Models of Learning in Simple Neural Systems. (pp. 31-63). Elsevier. conference paper CATALDO, E., BRUNELLI, M., AV-RON, E., CAI, Y., & BAXTER, D. A. (2008). GEOMETRY, ACTIVITY-DEPENDENT MECHANISMS, MEMBRANE KINETICS AND CHANNEL DENSITY DISTRIBUTION INTERPLAY IN SINGLE NEURON PLASTICITY: A COMPUTATIONAL STUDY. 154-178. Chen, H., Yuan, B., Baxter, D. A., & Byrne, J. H. (2005). Study on Simulator for Biological Neural Networks. 1-4. Chen, H., Yuan, B., Baxter, D. A., & Byrne, J. H. (2002). Research and Implementation of Computer Simulation System for Neural Networks. 1834-1837. Luo, C., DeFranceschi, A. A., Clark, J. W., Canavier, C. C., Baxter, D. A., & Byrne, J. H. (1999). Gait generation characterized by the phase sensitive properties of synaptically coupled neurons. 2015 37TH ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY (EMBC). 399-vol.1. institutional repository document Zhang, Y., Smolen, P., Alberini, C. M., Baxter, D. A., & Byrne, J. H. (2022). Computational analysis of memory consolidation following inhibitory avoidance (IA) training in adult and infant rats: critical roles of CaMKII and MeCP2 Neveu, C. L., Baxter, D. A., & Byrne, J. H. (2022). Genesis of bursting activity: Role of inhibitory constraints on persistent Na+ currents Costa, R. M., Baxter, D. A., & Byrne, J. H. (2021). Neuronal population activity dynamics reveal a low-dimensional signature of operant learning Momohara, Y., Neveu, C. L., Chen, H., Baxter, D. A., & Byrne, J. H. (2021). Specific plasticity loci and their synergism mediate operant conditioning Smolen, P., Baxter, D. A., & Byrne, J. H. (2020). Modeling Suggests Combined-Drug Treatments for Disorders Impairing Synaptic Plasticity via Shared Signaling Pathways Smolen, P., Baxter, D. A., & Byrne, J. H. (2020). Comparing Theories for the Maintenance of Late LTP and Long-Term Memory: Computational Analysis of the Roles of Kinase Feedback Pathways and Synaptic Reactivation Smolen, P., Baxter, D. A., & Byrne, J. H. (2020). Comparing Theories for the Maintenance of Late LTP and Long-Term Memory: Computational Analysis of the Roles of Kinase Feedback Pathways and Synaptic Reactivation Smolen, P., Baxter, D. A., & Byrne, J. H. (2019). How Can Memories Last for Days, Years, or a Lifetime? Proposed Mechanisms for Maintaining Synaptic Potentiation and Memory Smolen, P., Baxter, D. A., & Byrne, J. H. (2018). Paradoxical LTP maintenance with inhibition of protein synthesis and the proteasome suggests a novel protein synthesis requirement for early LTP reversal Smolen, P., Baxter, D. A., & Byrne, J. H. (2014). Simulations Suggest Pharmacological Methods for Rescuing Long-Term Potentiation Smolen, P., Baxter, D. A., & Byrne, J. H. (2012). Interlinked Dual-Time Feedback Loops can Enhance Robustness to Stochasticity and Persistence of Memory Smolen, P., Baxter, D. A., & Byrne, J. H. (2012). Molecular Constraints on Synaptic Tagging and Maintenance of Long-Term Potentiation: A Predictive Model Smolen, P., Baxter, D. A., & Byrne, J. H. (2008). Bistable MAP Kinase Activity: A Plausible Mechanism Contributing to Maintenance of Late Long-Term Potentiation Smolen, P., Baxter, D. A., & Byrne, J. H. (2006). A Model of the Roles of Essential Kinases in the Induction and Expression of Late Long-Term Potentiation Smolen, P., Hardin, P. E., Lo, B. S., Baxter, D. A., & Byrne, J. H. (2004). Simulation of Drosophila Circadian Oscillations, Mutations, and Light Responses by a Model with VRI, PDP-1, and CLK
education and training Ph.D. in Zoology, The University of Texas at Austin - (Austin, Texas, United States) 1981