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Shape-induced asymmetric diffusion in dendritic spines allows efficient synaptic AMPA receptor trapping.
It is shown that local exocytosis in the spine head, in contrast to release at the base, provides rapid and specific regulatory control of AMPAR concentration at synapses, and further enhances receptor trapping, particularly in mushroomlike spines.
DeepMoD: Deep learning for model discovery in noisy data
We introduce DeepMoD, a Deep learning based Model Discovery algorithm. DeepMoD discovers the partial differential equation underlying a spatio-temporal data set using sparse regression on a library
Temporal Normalizing Flows
This paper extends the concept of normalizing flows to so-called temporal Normalizing Flows (tNFs) to estimate time dependent distributions, leveraging the full spatio-temporal information present in the dataset.
Barriers in the brain: resolving dendritic spine morphology and compartmentalization
Recent advances in tool development – both experimental and theoretical – that facilitate studying the role of the spine neck in compartmentalization of biochemical signals, membrane receptors and electrical signals in spines are reviewed.
Digit somatotopy in the human cerebellum: A 7T fMRI study
The high spatial resolution and high sensitivity to the blood oxygenation level dependent (BOLD) signal of 7T fMRI were employed to study the BOLD responses in the human cerebellum to the stroking of the skin of individual digits, the hand and forearm, demonstrating the promise of ultra-high field, high-resolution fMRI for studies of the cerebellums.
Forced transport of deformable containers through narrow constrictions.
This work focuses on the interrelation between the force that propels the container and the radius of the channel, as these are the external variables that may be directly controlled in both artificial and physiological settings.
Confinement without boundaries: anisotropic diffusion on the surface of a cylinder.
This work explores the effects of confinement by shape, not rigid boundaries, on the diffusion of discs by confining them to the surface of a cylinder and finds that both the magnitude and the directionality of lateral diffusion is strongly influenced by the radius of the cylinder.
Sparsely Constrained Neural Networks for Model Discovery of PDEs
  • G. Both, R. Kusters
  • Computer Science, Physics
    AAAI Spring Symposium: MLPS
  • 9 November 2020
A modular framework that combines deep-learning based approaches with an arbitrary sparse regression technique and demonstrates with several examples that this combination facilitates and enhances model discovery tasks.
Puckering and wrinkling in a growing composite ring
Pattern formation driven by differential strain in constrained elastic systems is a common motif in many technological and biological systems. Here we introduce a biologically motivated case of
Role of charge regulation and size polydispersity in nanoparticle encapsulation by viral coat proteins.
It is shown that the surface charge density of these particles cannot be assumed fixed, but that it adjusts itself to minimize electrostatic repulsion between the charges on them and maximize the attractive interaction with the RNA binding domains on the proteins.