290 citations · 465 across the 9 of their papers we have counts for
10 papers
Neural networks as decision trees: an analytical solution for learning and neural selectivity
Hugo Tissot, Jonas Ranft, Yves Boubenec
Nonlinear neural networks develop structured internal representations, yet how their geometry is determined by the tasks being learned remains poorly understood. Here, we develop a…
How random connectivity shapes the fluctuating dynamics of finite-size neural populations
Nils E. Greven, Jonas Ranft, Tilo Schwalger
Mesoscopic models of finite-size neuronal populations are crucial to understand the dynamics of neural networks in the brain, especially their fluctuations and response to stimuli.…
Self-consistent autocorrelation of a disordered Kuramoto model in the asynchronous state
Yagmur Kati, Jonas Ranft, Benjamin Lindner
The Kuramoto model has provided deep insights into synchronization phenomena and remains an important paradigm to study the dynamics of coupled oscillators. Yet, despite its succes…
Non-equilibrium cluster-cluster aggregation in the presence of anchoring sites
Renaud Baillou, Jonas Ranft
Non-equilibrium cluster-cluster aggregation of particles diffusing in or at the cell membrane has been hypothesized to lead to domains of finite size in different biological contex…
Theory of the asynchronous state of structured rotator networks and its application to recurrent networks of excitatory and inhibitory units
Jonas Ranft, Benjamin Lindner
Recurrently coupled oscillators that are sufficiently heterogeneous and/or randomly coupled can show an asynchronous activity in which there are no significant correlations among t…
A model of membrane deformations driven by a surface pH gradient
Toni V. Mendes, Jonas Ranft, Hélène Berthoumieux
Many cellular organelles are membrane-bound structures with complex membrane composition and shape. Their shapes have been observed to depend on the metabolic state of the organell…