HR job title
- Associate Dean of Education
- Contact Info
- 2816607006
Baxter, Douglas Instructional Professor
Positions
- Instructional Professor, Neuroscience and Experimental Therapeutics, Texas A&M University Naresh K. Vashisht College of Medicine
- Overview
- Publications
- Background
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Overview
Publications
selected publications
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academic article
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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.
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Momohara, Y., Neveu, C. L., Chen, H., Baxter, D. A., & Byrne, J. H.
(2022).
Specific Plasticity Loci and Their Synergism Mediate Operant Conditioning. Journal of Neuroscience.
42(7), 1211-1223.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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. Journal of Neuroscience.
33(16), 6944-6949.
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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.
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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.
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Lorenzetti, F. D., Baxter, D. A., & Byrne, J. H.
(2011).
Classical conditioning analog enhanced acetylcholine responses but reduced excitability of an identified neuron. Journal of Neuroscience.
31(41), 14789-14793.
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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.
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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.
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Baxter, D. A., & Crow, T.
(2010).
Network model for visually mediated ciliary locomotion in Hermissenda. BMC Neuroscience.
11(Suppl 1), p59.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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. 85(4), 2158-2169.
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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. Journal of Neuroscience.
23(23), 8392-8401.
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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.
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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.
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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. 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.
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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.
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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. 21(17), 6644-6656.
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Lechner, H. A., Baxter, D. A., & Byrne, J. H.
(2000).
Classical conditioning of feeding in Aplysia: I. Behavioral analysis. Journal of Neuroscience.
20(9), 3369-3376.
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Lechner, H. A., Baxter, D. A., & Byrne, J. H.
(2000).
Classical conditioning of feeding in Aplysia: II. Neurophysiological correlates. 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.
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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.
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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.
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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.
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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. 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. Journal of Neuroscience.
19(6), 2261-2272.
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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.
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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.
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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.
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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.
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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.
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Nargeot, R., Baxter, D. A., & Byrne, J. H.
(1997).
Contingent-dependent enhancement of rhythmic motor patterns: an in vitro analog of operant conditioning. Journal of Neuroscience.
17(21), 8093-8105.
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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. Journal of Neuroscience.
17(19), 7237-7244.
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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.
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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.
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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. 2(1), 19-44.
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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.
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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.
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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.
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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.
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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 the United States of America.
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.
-
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.
-
chapter
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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 (Clifton, N.J.).
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 Computer Science.
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.
-
Knowlton, C. J., Baxter, D. A., Byrne, J. H., & Canavier, C. C.
(2020).
Repetitive Action Potential Firing. eLS.
(pp. 1-13).
Wiley.
-
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.
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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. Conference proceedings : ... Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual Conference.
399-vol.1.
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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.
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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
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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
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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
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Smolen, P., Baxter, D. A., & Byrne, J. H.
(2014).
Simulations Suggest Pharmacological Methods for Rescuing Long-Term Potentiation
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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
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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
-
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
Background
education and training
- Ph.D. in Zoology, The University of Texas at Austin - (Austin, Texas, United States) 1981
Contact
first name
- Douglas
has last name
- Baxter
mailing address
-
7345 FM 2000
Caldwell, TX 77836
USA
Other
- dabaxter@swbell.net