Fleur Zeldenrust

Neuromodulatory Control of Cortical Function: Cell-Type Specific Regulation of Neuronal Information Transfer

This study investigates how neuromodulators like dopamine and acetylcholine regulate neuronal information transfer by altering functional domains in excitatory and inhibitory neurons.

An energy information trade-off explains hidden structure in the neuronal parameter space

The paper shows that neuronal parameter diversity is structured by energy-information trade-offs, forming a Pareto front in parameter space.

Neuronal Identity is Not Static: An Input-Driven Perspective

The paper shows neuronal classification is dynamic, not static, by demonstrating input patterns significantly influence functional classification in mice cortical neurons.

From Skin to Cortex: End-to-End Spiking Neural Network Simulation of Tactile Information Flow

This paper presents an end-to-end spiking neural network model of the tactile pathway from mechanoreceptors to cortex, showing efficient tactile information encoding and transformation.

Decoupling synaptic weight and connection sparsity reveals asymmetriccontrol of network dynamics

The paper examines how synaptic weight and connection probability influence network dynamics in a thalamocortical microcircuit model, identifying four organizing principles of population activity.

Information transfer and recovery for the sense of touch

The paper shows that sensory information is accurately represented in somatic PSPs but lost during AP generation, yet can be recovered in local populations to maintain high-fidelity touch processing.

How the layer-dependent ratio of excitatory to inhibitory cells shapes cortical coding in balanced networks

The paper investigates how layer-dependent excitatory-inhibitory neuron ratios affect cortical network dynamics and coding capacity, finding higher dimensionality and coding in layer 2/3 compared to layer 4.

Electrical diversity of neurons in sensory cortices

The paper introduces a method to objectively select informative parameters for neuronal functional classification, revealing 9 and 11 subpopulations in somatosensory and visual cortices respectively.

Precision not prediction: Body-ownership illusion as a consequence of online precision adaptation under Bayesian inference

The paper presents a computational model showing that body-ownership illusions arise from precision adaptation in Bayesian inference during sensory stimulation.

Where top-down meets bottom-up: Cell-type specific connectivity map of the whisker system

The paper updates the mouse whisker system connectivity map by identifying new monosynaptic connections and creating the first cell-type-specific map of the network.

The tuning of tuning: how adaptation influences single cell information transfer.

The paper measures and models how intrinsic neural properties affect information transfer in cortical neurons, finding excitatory neurons have more heterogeneous and lossy information transfer than inhibitory neurons.

Nonlinear super-resolution signal processing allows intracellular tracking of calcium dynamics

This paper introduces ARES, a baseline-free method for quantifying fluorescence signals that improves spatiotemporal resolution of calcium imaging data and enables tracking of intracellular calcium dynamics.

Cortical representation of touch in silico

The paper introduces an in silico model of the somatosensory cortex that replicates touch representations and synaptic changes from whisker deprivation.

A whole-cell recording database of neuromodulatory action in the adult neocortex

The paper introduces a database of whole-cell patch-clamp recordings from adult mouse neocortical neurons, examining the effects of various neuromodulators on cellular excitability.

Efficient and robust coding in heterogeneous recurrent networks

The paper develops a predictive coding framework for recurrent spiking networks, showing that heterogeneous networks are more efficient and robust than homogeneous ones.

A databank for intracellular electrophysiological mapping of the adult somatosensory cortex

The paper provides a database of intracellular electrophysiological recordings from adult mouse somatosensory cortex neurons to study neuronal integration and action potential generation.