Lucas Rudelt

Power-law adaptation in the presynaptic vesicle cycle

The paper models synaptic vesicle recycling dynamics and shows that multi-timescale recovery can be described by a power-law adaptation model, which enables efficient neuronal communication through temporal whitening of spike trains.

Prediction mismatch responses arise as corrections of a predictive spiking code

The paper shows prediction mismatch responses arise from neural code reorganization rather than error computation in a predictive spiking model.

Visuomotor mismatch responses as a hallmark of explaining away in causal inference

The paper explains visuomotor mismatch responses as arising from explaining away in causal inference, demonstrating this through simulations of spiking neurons encoding optic flow and locomotion.

Embedding optimization reveals long-lasting history dependence in neural spiking activity

This paper introduces a method to quantify history dependence in neural spiking activity, revealing that its strength and timescale vary across brain regions and experimental conditions.

Sequence memory in recurrent neuronal network can develop without structured input

The paper shows that recurrent neural networks can develop sequence memory without structured input, using STDP and synaptic competition to create pathways for faster learning.