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Journal of Neurophysiology|March 1, 1993
Dynamic clamp: computer-generated conductances in real neuronsA A Sharp, M B O'Neil, L F Abbott, et al.
Nature|April 26, 2013
Random convergence of olfactory inputs in the Drosophila mushroom bodySophie J C Caron, Vanessa Ruta, L F Abbott, et al.
Progress in Neurobiology|February 27, 2013
From fixed points to chaos: three models of delayed discriminationOmri Barak, David Sussillo, Ranulfo Romo, et al.
Biorxiv : the Preprint Server for Biology|September 30, 2024
Barcode activity in a recurrent network model of the hippocampus enables efficient memory bindingChing Fang, Jack Lindsey, L F Abbott, et al.
Journal of Neurophysiology|November 24, 1999
Encoding of muscle movement on two time scales by a sensory neuron that switches between spiking and bursting modesJ T Birmingham, Z B Szuts, L F Abbott, et al.
Elife|March 30, 2018
A transformation from temporal to ensemble coding in a model of piriform cortexMerav Stern, Kevin A Bolding, L F Abbott, et al.
Science (New York, N.Y.)|January 10, 1997
Synaptic depression and cortical gain controlL F Abbott, J A Varela, K Sen, et al.
Plos Computational Biology|December 5, 2022
Input correlations impede suppression of chaos and learning in balanced firing-rate networksRainer Engelken, Alessandro Ingrosso, Ramin Khajeh, et al.
Current Biology : CB|April 24, 2025
An end-to-end model of active electrosensationDenis Turcu, Abigail N Zadina, L F Abbott, et al.
Trends in Neurosciences|October 1, 1993
The dynamic clamp: artificial conductances in biological neuronsA A Sharp, M B O'Neil, L F Abbott, et al.
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