| 2007 |
|---|
| 6 | EE | Matthieu Gilson,
David B. Grayden,
J. Leo van Hemmen,
Doreen A. Thomas,
Anthony N. Burkitt:
Spike-Timing Dependent Plasticity in Recurrently Connected Networks with Fixed External Inputs.
ICONIP (1) 2007: 102-111 |
| 2005 |
|---|
| 5 | EE | Hamish Meffin,
Anthony N. Burkitt,
David B. Grayden:
Dynamically adjustable contrast enhancement from cortical background activity.
Neurocomputing 65-66: 633-639 (2005) |
| 2004 |
|---|
| 4 | EE | Hamish Meffin,
Anthony N. Burkitt,
David B. Grayden:
An Analytical Model for the 'Large, Fluctuating Synaptic Conductance State' Typical of Neocortical Neurons In Vivo.
Journal of Computational Neuroscience 16(2): 159-175 (2004) |
| 3 | EE | Anthony N. Burkitt,
Hamish Meffin,
David B. Grayden:
Spike-Timing-Dependent Plasticity: The Relationship to Rate-Based Learning for Models with Weight Dynamics Determined by a Stable Fixed Point.
Neural Computation 16(5): 885-94 (2004) |
| 2003 |
|---|
| 2 | EE | Anthony N. Burkitt,
Hamish Meffin,
David B. Grayden:
Study of neuronal gain in a conductance-based leaky integrate-and-fire neuron model with balanced excitatory and inhibitory synaptic input.
Biological Cybernetics 89(2): 119-125 (2003) |
| 1 | EE | Anthony N. Burkitt,
Hamish Meffin,
David B. Grayden:
Gain modulation and balanced synaptic input in a conductance-based neural model.
Neurocomputing 52-54: 221-226 (2003) |
