Cornelius Schröder

Jaxley: Differentiable simulation enables large-scale training of detailed biophysical models of neural dynamics

The paper introduces JO_SCPLOWAXLEYC_SCPLOW, a framework for differentiable simulation of biophysical neuron models, enabling efficient parameter optimization and task-driven training of large-scale models.

velotest: Statistical assessment of RNA velocity embeddings reveals quality differences for reliable trajectory visualizations

velotest assesses RNA velocity embeddings' faithfulness to high-dimensional data, revealing quality differences across methods and datasets.

Uncertainty mapping and probabilistic tractography using Simulation-Based Inference in diffusion MRI: A comparison with classical Bayes

This paper introduces an SBI framework for diffusion MRI analysis, showing it provides fast and accurate parameter estimation and uncertainty mapping compared to classical Bayesian methods.

Distinct Synaptic Transfer Functions in Same-Type Photoreceptors

The paper shows that UV-cones in larval zebrafish eyes have distinct synaptic transfer functions based on their location, using a combination of imaging and modeling techniques.

Bayesian inference for biophysical neuron models enables stimulus optimization for retinal neuroprosthetics

This paper uses Bayesian inference to estimate parameters of retinal neuron models from imaging data and optimizes stimulus waveforms for retinal neuroprosthetics.

Ancestral circuits for vertebrate colour vision emerge at the first retinal synapse

The paper reveals how larval zebrafish retinal circuits process color by rotating spectral information into primary achromatic and chromatic axes at the first synapse, a strategy also used by fruit flies.

System Identification with Biophysical Constraints: A Circuit Model of the Inner Retina

The paper develops a biophysically constrained computational model of inner retinal circuits that performs well on new stimuli and matches connectomics data.

Approximate Bayesian Inference for a Mechanistic Model of Vesicle Release at a Ribbon Synapse

The paper develops an approximate Bayesian inference method for a mechanistic model of glutamate release at a ribbon synapse, showing it can estimate parameters from synthetic and experimental data and outperforms a standard GLM.

Cellular and molecular mechanisms of photoreceptor tuning for prey capture in larval zebrafish

The paper shows UV-cones in larval zebrafish are tuned for UV-bright prey capture through regional boosts in detection efficiency and synaptic calcium baseline.