Moritz Deger

732 total citations
20 papers, 402 citations indexed

About

Moritz Deger is a scholar working on Cognitive Neuroscience, Statistical and Nonlinear Physics and Cellular and Molecular Neuroscience. According to data from OpenAlex, Moritz Deger has authored 20 papers receiving a total of 402 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Cognitive Neuroscience, 11 papers in Statistical and Nonlinear Physics and 9 papers in Cellular and Molecular Neuroscience. Recurrent topics in Moritz Deger's work include Neural dynamics and brain function (19 papers), stochastic dynamics and bifurcation (11 papers) and Photoreceptor and optogenetics research (6 papers). Moritz Deger is often cited by papers focused on Neural dynamics and brain function (19 papers), stochastic dynamics and bifurcation (11 papers) and Photoreceptor and optogenetics research (6 papers). Moritz Deger collaborates with scholars based in Germany, Switzerland and Japan. Moritz Deger's co-authors include Wulfram Gerstner, Tilo Schwalger, Stefan Rotter, Moritz Helias, Markus Diesmann, Wilson Truccolo, Felipe Gerhard, Stefano Cardanobile, Richard Naud and Martin Paul Nawrot and has published in prestigious journals such as PLoS ONE, Cerebral Cortex and PLoS Computational Biology.

In The Last Decade

Moritz Deger

20 papers receiving 398 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Moritz Deger Germany 13 343 172 134 130 59 20 402
Romain Veltz France 11 262 0.8× 85 0.5× 188 1.4× 49 0.4× 147 2.5× 27 370
Yasuhiro Tsubo Japan 11 364 1.1× 176 1.0× 203 1.5× 74 0.6× 130 2.2× 19 477
Benjamin Staude Germany 7 294 0.9× 142 0.8× 138 1.0× 41 0.3× 32 0.5× 9 355
Gabriel Koch Ocker United States 9 389 1.1× 243 1.4× 80 0.6× 99 0.8× 16 0.3× 16 434
Stefano Cardanobile Germany 11 280 0.8× 196 1.1× 128 1.0× 92 0.7× 43 0.7× 20 493
Tilo Schwalger Germany 14 530 1.5× 182 1.1× 435 3.2× 137 1.1× 171 2.9× 34 626
Felipe Gerhard Switzerland 6 225 0.7× 132 0.8× 43 0.3× 54 0.4× 12 0.2× 9 283
Idan Segev Israel 2 378 1.1× 244 1.4× 156 1.2× 104 0.8× 74 1.3× 3 505
Matteo di Volo France 14 428 1.2× 148 0.9× 211 1.6× 73 0.6× 155 2.6× 32 486
Sami El‐Boustani France 13 624 1.8× 412 2.4× 138 1.0× 112 0.9× 56 0.9× 19 736

Countries citing papers authored by Moritz Deger

Since Specialization
Citations

This map shows the geographic impact of Moritz Deger's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Moritz Deger with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Moritz Deger more than expected).

Fields of papers citing papers by Moritz Deger

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Moritz Deger. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Moritz Deger. The network helps show where Moritz Deger may publish in the future.

Co-authorship network of co-authors of Moritz Deger

This figure shows the co-authorship network connecting the top 25 collaborators of Moritz Deger. A scholar is included among the top collaborators of Moritz Deger based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Moritz Deger. Moritz Deger is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Deger, Moritz, et al.. (2019). Stability of working memory in continuous attractor networks under the control of short-term plasticity. PLoS Computational Biology. 15(4). e1006928–e1006928. 43 indexed citations
2.
Deger, Moritz, et al.. (2018). Excitable neuronal assemblies with adaptation as a building block of brain circuits for velocity-controlled signal propagation. PLoS Computational Biology. 14(7). e1006216–e1006216. 7 indexed citations
3.
Deger, Moritz, et al.. (2017). Winnerless competition in clustered balanced networks: inhibitory assemblies do the trick. Biological Cybernetics. 112(1-2). 81–98. 18 indexed citations
4.
Schwalger, Tilo, Moritz Deger, & Wulfram Gerstner. (2017). Towards a theory of cortical columns: From spiking neurons to interacting neural populations of finite size. PLoS Computational Biology. 13(4). e1005507–e1005507. 92 indexed citations
5.
Gerhard, Felipe, Moritz Deger, & Wilson Truccolo. (2017). On the stability and dynamics of stochastic spiking neuron models: Nonlinear Hawkes process and point process GLMs. PLoS Computational Biology. 13(2). e1005390–e1005390. 35 indexed citations
6.
Deger, Moritz, et al.. (2017). Cortical Dynamics in Presence of Assemblies of Densely Connected Weight-Hub Neurons. Frontiers in Computational Neuroscience. 11. 52–52. 16 indexed citations
7.
Deger, Moritz, et al.. (2017). Multicontact Co-operativity in Spike-Timing–Dependent Structural Plasticity Stabilizes Networks. Cerebral Cortex. 28(4). 1396–1415. 19 indexed citations
8.
Eppler, Jochen Martin, Alexander Peyser, Abigail Morrison, et al.. (2015). NEST 2.8.0. Zenodo (CERN European Organization for Nuclear Research). 17 indexed citations
9.
Schwalger, Tilo, Moritz Deger, & Wulfram Gerstner. (2015). Bridging spiking neuron models and mesoscopic population models - a general theory for neural population dynamics. BMC Neuroscience. 16(S1). 1 indexed citations
10.
Deger, Moritz, Tilo Schwalger, Richard Naud, & Wulfram Gerstner. (2014). Fluctuations and information filtering in coupled populations of spiking neurons with adaptation. Physical Review E. 90(6). 62704–62704. 30 indexed citations
11.
Deger, Moritz, et al.. (2014). The role of interconnected hub neurons in cortical dynamics. BMC Neuroscience. 15(S1). 1 indexed citations
12.
Pernice, Volker, Moritz Deger, Stefano Cardanobile, & Stefan Rotter. (2013). The relevance of network micro-structure for neural dynamics. Frontiers in Computational Neuroscience. 7. 72–72. 21 indexed citations
13.
Deger, Moritz, Moritz Helias, Stefan Rotter, & Markus Diesmann. (2012). Spike-Timing Dependence of Structural Plasticity Explains Cooperative Synapse Formation in the Neocortex. PLoS Computational Biology. 8(9). e1002689–e1002689. 28 indexed citations
14.
Cardanobile, Stefano, Volker Pernice, Moritz Deger, & Stefan Rotter. (2012). Inferring General Relations between Network Characteristics from Specific Network Ensembles. PLoS ONE. 7(6). e37911–e37911. 4 indexed citations
15.
Helias, Moritz, Moritz Deger, Stefan Rotter, & Markus Diesmann. (2011). Finite Post Synaptic Potentials Cause a Fast Neuronal Response. Frontiers in Neuroscience. 5. 19–19. 7 indexed citations
16.
Deger, Moritz, Moritz Helias, Clémens Boucsein, & Stefan Rotter. (2011). Statistical properties of superimposed stationary spike trains. Journal of Computational Neuroscience. 32(3). 443–463. 16 indexed citations
17.
Deger, Moritz, Moritz Helias, Clémens Boucsein, & Stefan Rotter. (2011). Effective neuronal refractoriness dominates the statistics of superimposed spike trains. BMC Neuroscience. 12(S1). 1 indexed citations
18.
Helias, Moritz, Moritz Deger, Stefan Rotter, & Markus Diesmann. (2010). Instantaneous Non-Linear Processing by Pulse-Coupled Threshold Units. PLoS Computational Biology. 6(9). e1000929–e1000929. 26 indexed citations
19.
Deger, Moritz, Moritz Helias, Stefano Cardanobile, Fatihcan M. Atay, & Stefan Rotter. (2010). Nonequilibrium dynamics of stochastic point processes with refractoriness. Physical Review E. 82(2). 21129–21129. 16 indexed citations
20.
Deger, Moritz, Stefano Cardanobile, Moritz Helias, & Stefan Rotter. (2009). The Poisson process with dead time captures important statistical features of neural activity. BMC Neuroscience. 10(S1). 4 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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