Baxter, Douglas A.

Operant Reward Learning in Aplysia : Neuronal Correlates and Mechanisms

Brembs, B., Lorenzetti, F. D., Reyes, F. D., Baxter, D. A., & Byrne, J. H. (2002) · Science

Memory and Neural MechanismsNeuroscience and Neuropharmacology Research

Cited by 338

Frequency selectivity, multistability, and oscillations emerge from models of genetic regulatory systems

Smolen, P., Baxter, D. A., & Byrne, J. H. (1998) · American Journal of Physiology-Cell Physiology

Gene Regulatory Network AnalysisNeural dynamics and brain function

Cited by 185

Computational design of enhanced learning protocols

Zhang, Y., Liu, R.-Y., Heberton, G. A., Smolen, P., Baxter, D. A., Cleary, L. J., & Byrne, J. H. (2012) · Nature Neuroscience

Memory and Neural MechanismsNeuroscience and Neuropharmacology Research

Cited by 80

A Model of the Roles of Essential Kinases in the Induction and Expression of Late Long-Term Potentiation

Smolen, P., Baxter, D. A., & Byrne, J. H. (2006) · Biophysical Journal

Neuroscience and Neuropharmacology ResearchMemory and Neural Mechanisms

Cited by 61

Dynamic Properties of Regulatory Motifs Associated with Induction of Three Temporal Domains of Memory in Aplysia

Pettigrew, D. B., Smolen, P., Baxter, D. A., & Byrne, J. H. (2005) · Journal of Computational Neuroscience

Memory and Neural MechanismsNeuroscience and Neuropharmacology Research

Cited by 48

Deficit in Long-Term Synaptic Plasticity Is Rescued by a Computationally Predicted Stimulus Protocol

Liu, R.-Y., Zhang, Y., Baxter, D. A., Smolen, P., Cleary, L. J., & Byrne, J. H. (2013) · The Journal of Neuroscience

Neuroscience and Neuropharmacology ResearchMemory and Neural Mechanisms

Cited by 29

Simulations suggest pharmacological methods for rescuing long-term potentiation

Smolen, P., Baxter, D. A., & Byrne, J. H. (2014) · Journal of Theoretical Biology

Neuroscience and Neuropharmacology ResearchMemory and Neural Mechanisms

Cited by 13