John H. Byrne

According to our database, John H. Byrne authored at least 21 papers between 1990 and 2022.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2022

Computational analysis of memory consolidation following inhibitory avoidance (IA) training in adult and infant rats: Critical roles of CaMKIIα and MeCP2.

Yili Zhang, Paul Smolen, Cristina M. Alberini, Douglas A. Baxter, John H. Byrne

PLoS Comput. Biol., 2022

2021

Modeling suggests combined-drug treatments for disorders impairing synaptic plasticity via shared signaling pathways.

Paul Smolen, Marcelo A. Wood, Douglas A. Baxter, John H. Byrne

J. Comput. Neurosci., 2021

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.

Paul Smolen, Douglas A. Baxter, John H. Byrne

Frontiers Comput. Neurosci., 2020

2016

On inferring functional connectivity with directed information in neuronal networks.

Zhiting Cai, Curtis L. Neveu, John H. Byrne, Behnaam Aazhang

Proceedings of the 50th Asilomar Conference on Signals, Systems and Computers, 2016

2014

Computational Analyses of Synergism in Small Molecular Network Motifs.

Yili Zhang, Paul Smolen, Douglas A. Baxter, John H. Byrne

PLoS Comput. Biol., 2014

2012

Molecular Constraints on Synaptic Tagging and Maintenance of Long-Term Potentiation: A Predictive Model.

Paul Smolen, Douglas A. Baxter, John H. Byrne

PLoS Comput. Biol., 2012

2007

Short-term plasticity in a computational model of the tail-withdrawal circuit in Aplysia.

Douglas A. Baxter, John H. Byrne

Neurocomputing, 2007

2006

Computational Model of a Central Pattern Generator.

Enrico Cataldo, John H. Byrne, Douglas A. Baxter

Proceedings of the Computational Methods in Systems Biology, International Conference, 2006

2005

Dynamic Properties of Regulatory Motifs Associated with Induction of Three Temporal Domains of Memory in <i>Aplysia</i>.

David B. Pettigrew, Paul Smolen, Douglas A. Baxter, John H. Byrne

J. Comput. Neurosci., 2005

Computational Model of Touch Sensory Cells (T Cells) of the Leech: Role of the Afterhyperpolarization (AHP) in Activity-Dependent Conduction Failure.

Enrico Cataldo, Marcello Brunelli, John H. Byrne, Evyatar Av-Ron, Yidao Cai, Douglas A. Baxter

J. Comput. Neurosci., 2005

Estimation of single-neuron model parameters from spike train data.

Randall D. Hayes, John H. Byrne, Steven J. Cox, Douglas A. Baxter

Neurocomputing, 2005

2004

Multimodal behavior in a four neuron ring circuit: mode switching.

Chuan Luo, John W. Clark Jr., Carmen C. Canavier, Douglas A. Baxter, John H. Byrne

IEEE Trans. Biomed. Eng., 2004

1999

A mathematical criterion based on phase response curves for stability in a ring of coupled oscillators.

R. O. Dror, Carmen C. Canavier, Robert J. Butera, John W. Clark Jr., John H. Byrne

Biol. Cybern., 1999

Control of multistability in ring circuits of oscillators.

Carmen C. Canavier, Douglas A. Baxter, John W. Clark Jr., John H. Byrne

Biol. Cybern., 1999

1997

Phase response characteristics of model neurons determine which patterns are expressed in a ring circuit model of gait generation.

Carmen C. Canavier, Robert J. Butera, R. O. Dror, Douglas A. Baxter, John W. Clark Jr., John H. Byrne

Biol. Cybern., 1997

Transient responses of a modeled bursting neuron: analysis with equilibrium and averaged nullclines.

Robert J. Butera, John W. Clark Jr., John H. Byrne

Biol. Cybern., 1997

1996

Dissection and reduction of a modeled bursting neuron.

Robert J. Butera, John W. Clark Jr., John H. Byrne, John Rinzel

J. Comput. Neurosci., 1996

1995

Analysis of the effects of modulatory agents on a modeled bursting neuron: Dynamic interactions between voltage and calcium dependent systems.

Robert J. Butera, John W. Clark Jr., Carmen C. Canavier, Douglas A. Baxter, John H. Byrne

J. Comput. Neurosci., 1995

1994

Response to letter by Gaudiano et al.

Jennifer L. Raymond, Douglas A. Baxter, Dean V. Buonomano, John H. Byrne

Neural Networks, 1994

1992

A learning rule based on empirically-derived activity-dependent neuromodulation supports operant conditioning in a small network.

Jennifer L. Raymond, Douglas A. Baxter, Dean V. Buonomano, John H. Byrne

Neural Networks, 1992

1990

Small networks of empirically derived adaptive elements simulate some higher-order features of classical conditioning.

Dean V. Buonomano, Douglas A. Baxter, John H. Byrne

Neural Networks, 1990