Viola Priesemann

NeuroDisco provides optogenetic stimulation to neuronal cultures to reduce synchronized bursting and enable functional analysis of neuronal activity.

The paper develops a continuous social decision-making game to study cooperation and competition, finding three stable strategies and a computational model that predicts dyadic decisions with high accuracy.

This paper introduces a continuous-time estimator of Transfer Entropy for spike trains, demonstrating its effectiveness in inferring effective neuronal networks and outperforming existing methods.

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.

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

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.

This paper quantifies changes in information flow during neural development using dissociated cell cultures and finds early lock-in of spatial structure and computational roles.

The paper investigates how neural variability in the somatosensory cortex affects the perception and propagation of activity between brain regions in mice.

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.

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.

The paper shows that sampling techniques affect the observed signatures of criticality in neuronal activity, reconciling conflicting results by suggesting a slightly subcritical regime.

This paper shows that external input strength, mediated by homeostatic plasticity, determines the dynamic states of neural networks, explaining differences between in vitro and in vivo activity.

The paper develops a subsampling-invariant estimator to analyze cortical spiking dynamics, finding a 'reverberating' regime distinct from asynchronous or critical states across species and areas.

This paper identifies methodological issues in cross-frequency coupling analysis and offers recommendations to improve its interpretability without solving all problems.