David Brown

Affiliations:
  • Babraham Institute, Laboratory of Computational Neuroscience, Cambridge, UK


According to our database1, David Brown authored at least 19 papers between 1996 and 2008.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Bibliography

2008
Emergent Synchronous Bursting of Oxytocin Neuronal Network.
PLoS Comput. Biol., 2008

2004
Decoding Input Signals in Time Domain - A Model Approach.
J. Comput. Neurosci., 2004

2001
Inhibitory inputs increase a neurons's firing rate.
Neurocomputing, 2001

Spike synchronization in a biophysically-detailed model of the olfactory bulb.
Neurocomputing, 2001

Significance of random neuronal drive.
Neurocomputing, 2001

2000
Impact of Correlated Inputs on the Output of the Integrate-and-Fire Model.
Neural Comput., 2000

Random pulse input versus continuous current plus white noise: Are they equivalent?
Neurocomputing, 2000

Low correlation between random synaptic inputs impacts considerably on the output of the Hodgkin-Huxley model.
Neurocomputing, 2000

1999
Is there a problem matching real and model CV(ISI)?
Neurocomputing, 1999

Coefficient of variation of interspike intervals greater than 0.5. How and when?
Biol. Cybern., 1999

Paradoxical Relationship between Output and Input Regularity for the FitzHugh-Nagumo Model.
Proceedings of the Foundations and Tools for Neural Modeling, 1999

Structure of Lateral Inhibition in an Olfactory Bulb Model.
Proceedings of the Foundations and Tools for Neural Modeling, 1999

Effects of Correlation and Degree of Balance in Random Synaptic Inputs on the Output of the Hodgkin-Huxley Model.
Proceedings of the Foundations and Tools for Neural Modeling, 1999

1998
Fixed Point Attractor Analysis for a Class of Neurodynamics.
Neural Comput., 1998

Impact of temporal variation and the balance between excitation and inhibition on the output of the perfect integrate-and-fire model.
Biol. Cybern., 1998

Output jitter diverges to infinity, converges to zero or remains constant.
Proceedings of the 6th European Symposium on Artificial Neural Networks, 1998

What is observable in a class of neurodynamics?
Proceedings of the 6th European Symposium on Artificial Neural Networks, 1998

1997
Viewing a Class of Neurodynamics on Parameter Space.
Proceedings of the Biological and Artificial Computation: From Neuroscience to Technology, 1997

1996
A Novel Approach for Analyzing Dynamics in Neural Networks with Saturated Characteristics.
Neural Process. Lett., 1996


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