John H. Byrne

21 papers Misc 1Journal 19Unranked 1
YearRankTypeTitle / Venue / Authors
2022 J jnl
Computational analysis of memory consolidation following inhibitory avoidance (IA) training in adult and infant rats: Critical roles of CaMKIIα and MeCP2.
PLoS Comput. Biol.
Yili Zhang, Paul Smolen, Cristina M. Alberini, Douglas A. Baxter, John H. Byrne
2021 J jnl
Modeling suggests combined-drug treatments for disorders impairing synaptic plasticity via shared signaling pathways.
J. Comput. Neurosci.
Paul Smolen, Marcelo A. Wood, Douglas A. Baxter, John H. Byrne
2020 J jnl
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 Comput. Neurosci.
Paul Smolen, Douglas A. Baxter, John H. Byrne
2016 Misc conf
On inferring functional connectivity with directed information in neuronal networks.
ACSSC
Zhiting Cai, Curtis L. Neveu, John H. Byrne, Behnaam Aazhang
2014 J jnl
Computational Analyses of Synergism in Small Molecular Network Motifs.
PLoS Comput. Biol.
Yili Zhang, Paul Smolen, Douglas A. Baxter, John H. Byrne
2012 J jnl
Molecular Constraints on Synaptic Tagging and Maintenance of Long-Term Potentiation: A Predictive Model.
PLoS Comput. Biol.
Paul Smolen, Douglas A. Baxter, John H. Byrne
2007 J jnl
Short-term plasticity in a computational model of the tail-withdrawal circuit in Aplysia.
Neurocomputing
Douglas A. Baxter, John H. Byrne
2006 — conf
Computational Model of a Central Pattern Generator.
CMSB
Enrico Cataldo, John H. Byrne, Douglas A. Baxter
2005 J jnl
Computational Model of Touch Sensory Cells (T Cells) of the Leech: Role of the Afterhyperpolarization (AHP) in Activity-Dependent Conduction Failure.
J. Comput. Neurosci.
Enrico Cataldo, Marcello Brunelli, John H. Byrne, Evyatar Av-Ron, Yidao Cai, Douglas A. Baxter
2005 J jnl
Dynamic Properties of Regulatory Motifs Associated with Induction of Three Temporal Domains of Memory in
J. Comput. Neurosci.
David B. Pettigrew, Paul Smolen, Douglas A. Baxter, John H. Byrne
2005 J jnl
Estimation of single-neuron model parameters from spike train data.
Neurocomputing
Randall D. Hayes, John H. Byrne, Steven J. Cox, Douglas A. Baxter
2004 J jnl
Multimodal behavior in a four neuron ring circuit: mode switching.
IEEE Trans. Biomed. Eng.
Chuan Luo, John W. Clark Jr., Carmen C. Canavier, Douglas A. Baxter, John H. Byrne
1999 J jnl
A mathematical criterion based on phase response curves for stability in a ring of coupled oscillators.
Biol. Cybern.
R. O. Dror, Carmen C. Canavier, Robert J. Butera, John W. Clark Jr., John H. Byrne
1999 J jnl
Control of multistability in ring circuits of oscillators.
Biol. Cybern.
Carmen C. Canavier, Douglas A. Baxter, John W. Clark Jr., John H. Byrne
1997 J jnl
Phase response characteristics of model neurons determine which patterns are expressed in a ring circuit model of gait generation.
Biol. Cybern.
Carmen C. Canavier, Robert J. Butera, R. O. Dror, Douglas A. Baxter, John W. Clark Jr., John H. Byrne
1997 J jnl
Transient responses of a modeled bursting neuron: analysis with equilibrium and averaged nullclines.
Biol. Cybern.
Robert J. Butera, John W. Clark Jr., John H. Byrne
1996 J jnl
Dissection and reduction of a modeled bursting neuron.
J. Comput. Neurosci.
Robert J. Butera, John W. Clark Jr., John H. Byrne, John Rinzel
1995 J jnl
Analysis of the effects of modulatory agents on a modeled bursting neuron: Dynamic interactions between voltage and calcium dependent systems.
J. Comput. Neurosci.
Robert J. Butera, John W. Clark Jr., Carmen C. Canavier, Douglas A. Baxter, John H. Byrne
1994 J jnl
Response to letter by Gaudiano et al.
Neural Networks
Jennifer L. Raymond, Douglas A. Baxter, Dean V. Buonomano, John H. Byrne
1992 J jnl
A learning rule based on empirically-derived activity-dependent neuromodulation supports operant conditioning in a small network.
Neural Networks
Jennifer L. Raymond, Douglas A. Baxter, Dean V. Buonomano, John H. Byrne
1990 J jnl
Small networks of empirically derived adaptive elements simulate some higher-order features of classical conditioning.
Neural Networks
Dean V. Buonomano, Douglas A. Baxter, John H. Byrne