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Publications by Agnieszka Grabska-Barwińska
How Well Do Mean Field Theories of Spiking Quadratic-Integrate-And-Fire Networks Work in Realistic Parameter Regimes?
Journal of Computational Neuroscience
Molecular Neuroscience
Sensory Systems
Cellular
Cognitive Neuroscience
Related publications
Mean-Field Analysis of Orientation Selectivity in Inhibition-Dominated Networks of Spiking Neurons
SpringerPlus
Multidisciplinary
A Mean-Field Approach to the Dynamics of Networks of Complex Neurons, From Nonlinear Integrate-And-Fire to Hodgkin-Huxley Models
Journal of Neurophysiology
Neuroscience
Physiology
A Mean-Field Description of Bursting Dynamics in Spiking Neural Networks With Short-Term Adaptation
Determinants of Associative Memory Performance in Spiking and Non-Spiking Neural Networks With Different Synaptic Plasticity Regimes
BMC Neuroscience
Neuroscience
Cellular
Molecular Neuroscience
Associative Memory of Phase-Coded Spatiotemporal Patterns in Leaky Integrate and Fire Networks
Journal of Computational Neuroscience
Molecular Neuroscience
Sensory Systems
Cellular
Cognitive Neuroscience
Optimal Detection of a Localized Perturbation in Random Networks of Integrate-And-Fire Neurons
Physical Review Letters
Astronomy
Physics
Topological Effects on Dynamics in Complex Pulse-Coupled Networks of Integrate-And-Fire Type
Physical Review E
Effect of Network Structure on Spike Train Correlations in Networks of Integrate-And-Fire Neurons
BMC Neuroscience
Neuroscience
Cellular
Molecular Neuroscience
Cooperative Linear-Quadratic Mean Field Control and Hamiltonian Matrix Analysis