Ralf Weßel

Speed modulations in grid cell information geometry

This paper develops a Gaussian Process with Kernel Regression method to analyze grid cell population activity, finding that running speed increases manifold size and noise strength, with manifold dilation having a greater impact on information coding.

The representational geometry of out-of-distribution generalization in primary visual cortex and artificial neural networks

The paper investigates out-of-distribution generalization in mouse visual cortex and deep neural networks, finding that geometric properties of neural representations correlate with generalization ability.

Brain-like border ownership signals support prediction of natural videos

The paper shows that a self-supervised neural network exhibits border ownership signals similar to those in the brain, enhancing video prediction.

Sleep restores an optimal computational regime in cortical networks

This study shows that sleep restores criticality in cortical networks, a computational regime that optimizes information processing, more accurately than traditional measures like SWA.

Tauopathy severely disrupts homeostatic set-points in emergent neural dynamics but not in the activity of individual neurons.

This study shows that tauopathy disrupts network-level homeostatic set-points in hippocampal activity but not individual neuron activity, with implications for computational capacity and behavior.

Single-cell membrane potential fluctuations evince network scale-freeness and quasicriticality

The paper analyzes membrane potential fluctuations in turtle pyramidal neurons to show they exhibit scale-free properties consistent with critical branching networks, suggesting they reflect high-dimensional cortical activity.

Critical dynamics are a homeostatic set point of cortical networks in vivo.

The paper shows cortical networks maintain critical dynamics independently of excitatory firing rate homeostasis, with inhibitory neurons playing a key role in stabilizing this state.

Response variability and population coupling of cortical synaptic inputs are strongly influenced by network properties

The paper investigates how network properties influence response variability and population coupling in cortical neurons using experimental and computational approaches.

Network activity influences the subthreshold and spiking visual responses of pyramidal neurons in a three-layer cortex

This study examines how network activity affects subthreshold and spiking visual responses in pyramidal neurons of a three-layer cortex using an ex vivo turtle model.

Adaptation modulates correlated response variability in visual cortex

The paper measures correlated response variability in visual cortex using membrane potential recordings and shows that intracortical adaptation mediates dynamic changes in correlation levels.

Visual Response Properties In The Three Layer Turtle Visual Cortex

The paper studies visual response properties in the three-layer turtle visual cortex using extracellular recordings, finding large receptive fields, broad stimulus responsiveness, and high correlation between distant neural ensembles.