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Network dynamics of spiking neurons with adaptation

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Network dynamics of spiking neurons with adaptation

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Principles of Network Plasticity in Neocortical Microcircuits

The Role of Hub Neurons in Modulating Cortical Dynamics

Fitting summary statistics of neural data with a differentiable spiking network simulator

Spike frequency adaptation supports network computations on temporally dispersed information

Mesoscopic population equations for spiking neural networks with synaptic short-term plasticity

An efficient analytical reduction of detailed nonlinear neuron models

How single neuron properties shape chaotic dynamics and signal transmission in random neural networks

Inferring and validating mechanistic models of neural microcircuits based on spike-train data

Towards a theory of cortical columns: From spiking neurons to interacting neural populations of finite size

On the stability and dynamics of stochastic spiking neuron models: Nonlinear Hawkes process and point process GLMs