170 citations · 369 across the 9 of their papers we have counts for
9 papers
Efficient low-dimensional approximation of continuous attractor networks
Alexander Seeholzer, Moritz Deger, Wulfram Gerstner
Continuous "bump" attractors are an established model of cortical working memory for continuous variables and can be implemented using various neuron and network models. Here, we d…
Towards a theory of cortical columns: From spiking neurons to interacting neural populations of finite size
Tilo Schwalger, Moritz Deger, Wulfram Gerstner
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…
Multi-contact synapses for stable networks: a spike-timing dependent model of dendritic spine plasticity and turnover
Moritz Deger, Alexander Seeholzer, Wulfram Gerstner
Excitatory synaptic connections in the adult neocortex consist of multiple synaptic contacts, almost exclusively formed on dendritic spines. Changes of dendritic spine shape and vo…
Reconstruction of recurrent synaptic connectivity of thousands of neurons from simulated spiking activity
Yury V. Zaytsev, Abigail Morrison, Moritz Deger
Dynamics and function of neuronal networks are determined by their synaptic connectivity. Current experimental methods to analyze synaptic network structure on the cellular level,…
Fluctuations and information filtering in coupled populations of spiking neurons with adaptation
Moritz Deger, Tilo Schwalger, Richard Naud +1
Finite-sized populations of spiking elements are fundamental to brain function, but also used in many areas of physics. Here we present a theory of the dynamics of finite-sized pop…
Discovering universal statistical laws of complex networks
Stefano Cardanobile, Volker Pernice, Moritz Deger +1
Different network models have been suggested for the topology underlying complex interactions in natural systems. These models are aimed at replicating specific statistical feature…