| * | 2008 |
|---|
| 22 | EE | M. Brozovic,
L. F. Abbott,
R. A. Andersen:
Mechanism of gain modulation at single neuron and network levels.
Journal of Computational Neuroscience 25(1): 158-168 (2008) |
| 2005 |
|---|
| 21 | EE | Christian D. Swinehart,
L. F. Abbott:
Supervised Learning Through Neuronal Response Modulation.
Neural Computation 17(3): 609-631 (2005) |
| 2004 |
|---|
| 20 | EE | Christian D. Swinehart,
Kris Bouchard,
Peretz Partensky,
L. F. Abbott:
Control of network activity through neuronal response modulation.
Neurocomputing 58-60: 327-335 (2004) |
| 19 | EE | Clifton C. Rumsey,
L. F. Abbott:
Synaptic equalization by anti-STDP.
Neurocomputing 58-60: 359-364 (2004) |
| 2002 |
|---|
| 18 | EE | Patrick J. Drew,
L. F. Abbott:
Modeling temporal combination selective neurons of the songbird.
Neurocomputing 44-46: 789-794 (2002) |
| 2001 |
|---|
| 17 | EE | Frances S. Chance,
L. F. Abbott:
Input-specific adaptation in complex cells through synaptic depression.
Neurocomputing 38-40: 141-146 (2001) |
| 2000 |
|---|
| 16 | | Emilio Salinas,
L. F. Abbott:
Do Simple Cells in Primary Visual Cortex Form a Tight Frame?
Neural Computation 12(2): 313-335 (2000) |
| 15 | EE | Mark S. Goldman,
Jorge Golowasch,
Eve Marder,
L. F. Abbott:
Dependence of firing pattern on intrinsic ionic conductances: Sensitive and insensitive combinations.
Neurocomputing 32-33: 141-146 (2000) |
| 14 | EE | Frances S. Chance,
Sacha B. Nelson,
L. F. Abbott:
A recurrent network model for the phase invariance of complex cell responses.
Neurocomputing 32-33: 339-344 (2000) |
| 13 | EE | Sen Song,
L. F. Abbott:
Temporally asymmetric Hebbian learning and neuronal response variability.
Neurocomputing 32-33: 523-528 (2000) |
| 12 | EE | Jian Zhang,
L. F. Abbott:
Gain modulation of recurrent networks.
Neurocomputing 32-33: 623-628 (2000) |
| 1999 |
|---|
| 11 | EE | Eve Marder,
Jorge Golowasch,
Kathryn S. Richards,
Cristina Soto-Treviño,
William L. Miller,
L. F. Abbott:
Self-Assembly of Oscillatory Neurons and Networks.
IWANN (1) 1999: 1-11 |
| 10 | | L. F. Abbott,
Peter Dayan:
The Effect of Correlated Variability on the Accuracy of a Population Code.
Neural Computation 11(1): 91-101 (1999) |
| 9 | | Jorge Golowasch,
Michael Casey,
L. F. Abbott,
Eve Marder:
Network Stability from Activity-Dependent Regulation of Neuronal Conductances.
Neural Computation 11(5): 1079-1096 (1999) |
| 8 | EE | Mark S. Goldman,
Sacha B. Nelson,
L. F. Abbott:
Decorrelation of spike trains by synaptic depression.
Neurocomputing 26-27: 147-153 (1999) |
| 1998 |
|---|
| 7 | EE | L. F. Abbott,
Sen Song:
Temporally Asymmetric Hebbian Learning, Spike liming and Neural Response Variability.
NIPS 1998: 69-75 |
| 6 | EE | Frances S. Chance,
Sacha B. Nelson,
L. F. Abbott:
Recurrent Cortical Amplification Produces Complex Cell Responses.
NIPS 1998: 90-96 |
| 1997 |
|---|
| 5 | | Wulfram Gerstner,
L. F. Abbott:
Learning Navigational Maps Through Potentiation and Modulation of Hippocampal Place Cells.
Journal of Computational Neuroscience 4(1): 79-94 (1997) |
| 1996 |
|---|
| 4 | | K. I. Blum,
L. F. Abbott:
A model of spatial map formation in the hippocampus of the rat.
Neural Computation 8(1): 85-93 (1996) |
| 1993 |
|---|
| 3 | EE | L. F. Abbott,
Gwendal Le Masson:
Analysis of Neuron Models with Dynamically Regulated Conductances.
Neural Computation 5(6): 823-842 (1993) |
| 1992 |
|---|
| 2 | EE | Sylvie Renaud-Le Masson,
Gwendal Le Masson,
Eve Marder,
L. F. Abbott:
Hybrid Circuits of Interacting Computer Model and Biological Neurons.
NIPS 1992: 813-819 |
| 1990 |
|---|
| 1 | EE | Thomas B. Kepler,
L. F. Abbott,
Eve Marder:
Order Reduction for Dynamical Systems Describing the Behavior of Complex Neurons.
NIPS 1990: 55-61 |
