Publications by Moritz Deger | EPFL Graph Search

Related publications (5)

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

Joao Emanuel Felipe Gerhard, Moritz Deger

Point process generalized linear models (PP-GLMs) provide an important statistical framework for modeling spiking activity in single-neurons and neuronal networks. Stochastic stability is essential when sampling from these models, as done in computational ...

Public Library of Science2017

Fluctuations and information filtering in coupled populations of spiking neurons with adaptation

Wulfram Gerstner, Tilo Schwalger, Richard Naud, Moritz Deger

Finite-sized populations of spiking elements are fundamental to brain function but also are used in many areas of physics. Here we present a theory of the dynamics of finite-sized populations of spiking units, based on a quasirenewal description of neurons ...

2014

Stability of working memory in continuous attractor networks under the control of short-term plasticity

Wulfram Gerstner, Moritz Deger, Alexander Kevin Seeholzer

Continuous attractor models of working-memory store continuous-valued information in continuous state-spaces, but are sensitive to noise processes that degrade memory retention. Short-term synaptic plasticity of recurrent synapses has previously been shown ...

2019

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

Wulfram Gerstner, Tilo Schwalger, Moritz Deger

Neural population equations such as neural mass or field models are widely used to study brain activity on a large scale. However, the relation of these models to the properties of single neurons is unclear. Here we derive an equation for several interacti ...

Public Library of Science2017

Cortical Dynamics in Presence of Assemblies of Densely Connected Weight-Hub Neurons

Wulfram Gerstner, Moritz Deger, Hesam Setareh

Experimental measurements of pairwise connection probability of pyramidal neurons together with the distribution of synaptic weights have been used to construct randomly connected model networks. However, several experimental studies suggest that both wiri ...

Frontiers Research Foundation2017