John H. Byrne - researchr alias

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Viewing Publication 1 - 21 from 21

2022

Computational analysis of memory consolidation following inhibitory avoidance (IA) training in adult and infant rats: Critical roles of CaMKIIα and MeCP2Yili Zhang, Paul Smolen, Cristina M. Alberini, Douglas A. Baxter, John H. Byrne. ploscb, 18(6), 2022. [doi]

2021

Modeling suggests combined-drug treatments for disorders impairing synaptic plasticity via shared signaling pathwaysPaul Smolen, Marcelo A. Wood, Douglas A. Baxter, John H. Byrne. jcns, 49(1):37-56, 2021. [doi]

2020

Comparing Theories for the Maintenance of Late LTP and Long-Term Memory: Computational Analysis of the Roles of Kinase Feedback Pathways and Synaptic ReactivationPaul Smolen, Douglas A. Baxter, John H. Byrne. ficn, 14:569349, 2020. [doi]

2016

On inferring functional connectivity with directed information in neuronal networksZhiting Cai, Curtis L. Neveu, John H. Byrne, Behnaam Aazhang. acssc 2016: 356-360 [doi]

2014

Computational Analyses of Synergism in Small Molecular Network MotifsYili Zhang, Paul Smolen, Douglas A. Baxter, John H. Byrne. ploscb, 10(3), 2014. [doi]

2012

Molecular Constraints on Synaptic Tagging and Maintenance of Long-Term Potentiation: A Predictive ModelPaul Smolen, Douglas A. Baxter, John H. Byrne. ploscb, 8(8), 2012. [doi]

2007

Short-term plasticity in a computational model of the tail-withdrawal circuit in AplysiaDouglas A. Baxter, John H. Byrne. ijon, 70(10-12):1993-1999, 2007. [doi]

2006

Computational Model of a Central Pattern GeneratorEnrico Cataldo, John H. Byrne, Douglas A. Baxter. cmsb 2006: 242-256 [doi]

2005

2004

Multimodal behavior in a four neuron ring circuit: mode switchingChuan Luo, John W. Clark Jr., Carmen C. Canavier, Douglas A. Baxter, John H. Byrne. tbe, 51(2):205-218, 2004. [doi]

1999

Control of multistability in ring circuits of oscillatorsCarmen C. Canavier, Douglas A. Baxter, J. W. Clark, John H. Byrne. bc, 80(2):87-102, 1999. [doi]

A mathematical criterion based on phase response curves for stability in a ring of coupled oscillatorsR. O. Dror, Carmen C. Canavier, Robert J. Butera, J. W. Clark, John H. Byrne. bc, 80(1):11-23, 1999. [doi]

1997

Transient responses of a modeled bursting neuron: analysis with equilibrium and averaged nullclinesRobert J. Butera, J. W. Clark, John H. Byrne. bc, 77(5):307-322, 1997. [doi]

Phase response characteristics of model neurons determine which patterns are expressed in a ring circuit model of gait generationCarmen C. Canavier, Robert J. Butera, R. O. Dror, Douglas A. Baxter, J. W. Clark, John H. Byrne. bc, 77(6):367-380, 1997. [doi]

1996

Dissection and reduction of a modeled bursting neuronRobert J. Butera, John W. Clark, John H. Byrne, John Rinzel. jcns, 3(3):199-223, 1996. [doi]

1995

Analysis of the effects of modulatory agents on a modeled bursting neuron: Dynamic interactions between voltage and calcium dependent systemsRobert J. Butera, John W. Clark, Carmen C. Canavier, Douglas A. Baxter, John H. Byrne. jcns, 2(1):19-44, 1995. [doi]

1994

Response to letter by Gaudiano et alJennifer L. Raymond, Douglas A. Baxter, Dean V. Buonomano, John H. Byrne. NN, 7(2):406-407, 1994. [doi]

1992

A learning rule based on empirically-derived activity-dependent neuromodulation supports operant conditioning in a small networkJennifer L. Raymond, Douglas A. Baxter, Dean V. Buonomano, John H. Byrne. NN, 5(5):789-803, 1992. [doi]

1990

Small networks of empirically derived adaptive elements simulate some higher-order features of classical conditioningDean V. Buonomano, Douglas A. Baxter, John H. Byrne. NN, 3(5):507-523, 1990. [doi]

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