Neural dynamics and brain function

Compensation of Hyperexcitability with Simulation-Based Inference

This study uses simulation-based inference to quantify compensatory mechanisms in a spiking neuronal network model under hyperexcitability conditions.

Assessing whole-cortex excitability from electromagnetic brain signals

This study evaluates ten excitability metrics from MEG data to show cortical excitability is multidimensional with distinct spatial and functional patterns.

Degeneracy in neuronal bifurcation landscapes: equivalent bifurcation sequences across distinct parameter sets

The paper shows that different biophysical parameters can produce equivalent bifurcation sequences in neuronal models, revealing degeneracy in neuronal dynamics.

Developmental and genetic modulation of evidence integration dynamics in zebrafish sensorimotor decision-making

This study uses drift-diffusion modeling on larval zebrafish to show that evidence integration dynamics develop during early stages and are altered by disease-linked mutations.

A NEST-based framework unlocks massively parallel simulation of networks of multicompartment neurons with customizable subcellular dynamics.

The paper introduces a framework for simulating multicompartment neurons with customizable subcellular dynamics using NEST and NESTML, enabling efficient and scalable network simulations.

Temporal resolution shapes inferred higher-order interactions and information compression in neural population activity: A data-driven approach using minimally complex models

This study shows that intermediate temporal resolution captures higher-order neural dependencies and efficient information representation better than coarse or fine resolutions.

A mechanistic theory of planning in prefrontal cortex

This paper proposes a mechanistic theory of planning in prefrontal cortex using spacetime attractors, showing that recurrent neural networks trained on planning tasks recapitulate this structure.

Designing optimal perturbation inputs for system identification in neuroscience

This paper proposes a data-driven framework for optimally designing perturbation inputs to improve neural system identification and control.

Robust and replicable effects of ageing on resting state brain electrophysiology measured with MEG.

This paper estimates the full-frequency whole-head profile of age effects on resting-state MEG and shows the effect is replicable and robust across datasets and covariates.

Awake alpha bursting emerges as the dynamic working state in a lateral geniculate thalamocortical cell model

This paper introduces a computational model of a thalamocortical neuron that demonstrates how the awake alpha rhythm enables thalamic filtering of retinal signals and processing of non-sensory rhythms.

Tuned inhibitory control of neuronal firing thresholds explains predictive sensorimotor behavior

The paper shows that prior expectations shape neural activity by increasing firing thresholds in neurons tuned away from expected directions, improving behavioral reliability.

The impact of behavioural activity on the EEG power spectrum, its source localisation, and global functional connectivity in rats

This study examines how behavioural activity affects EEG power spectrum, source localization, and global functional connectivity in freely moving rats, identifying specific frequency band changes.

A dataset of differentiable biologically-derived single neuron models

The paper presents a database of over 1,000 differentiable single-neuron models fitted to mouse and human patch-clamp recordings, with PyTorch code for integration into machine learning.

Amygdala beta bursts modulate hippocampal neuronal dynamics during human emotional processing

The paper investigates how amygdala beta bursts influence hippocampal activity during emotional processing in humans, finding they suppress hippocampal firing during negative emotional stimuli.

Effects of Spatial Constraints of Inhibitory Connectivity on the Dynamical Development of Criticality in Spiking Networks

This study investigates how spatial constraints on inhibitory connectivity affect the development of criticality in spiking neural networks.

Associative synaptic plasticity creates dynamic persistent activity

The paper shows that coupling neuronal and synaptic dynamics in recurrent networks enables persistent oscillations, a dynamic form of memory without explicit storage or retrieval.

Cortex-wide laminar dynamics diverge during learning

The paper investigates how cortical layers change during learning, finding that layer 5 and 2/3 show distinct activity patterns across different brain regions and times.

Population coding under the scale invariance of high-dimensional noise

The paper investigates how stimulus information in high-dimensional neural activity scales with population size in mouse V1, finding that scale-invariant noise does not limit information as population size increases.

How to train your neuron: Developing a detailed, up-to-date, multipurpose model of hippocampal CA1 pyramidal cells

This paper develops a detailed, data-driven biophysical model of hippocampal CA1 pyramidal neurons that captures diverse electrophysiological features and validates its accuracy through experimental comparison.

iCSD can produce spurious results in dense electrode arrays

The paper shows that current source density estimation can produce incorrect results in dense electrode arrays due to small inter-electrode spacing.

Multi-area single-cell calcium imaging dataset of the mouse cortex across wakefulness, sleep, and anesthesia

The paper presents a dataset of single-cell calcium imaging from multiple cortical areas in mice across different physiological states.

Representational learning by optimization of neural manifolds in an olfactory memory network

The paper analyzes how olfactory memory in zebrafish is represented through neural manifolds, finding that training enhances the separation of task-relevant odor representations.

Neocortical long-range inhibition promotes cortical synchrony and sleep

This study identifies Sst-Chodl inhibitory neurons that promote cortical synchrony and sleep by exerting long-range inhibition during low-arousal states.

A framework for analyzing C. elegans neural activity using multi-dimensional hyperbolic embedding

The paper analyzes C. elegans neural activity in response to bacterial stimuli, showing that hyperbolic embedding better describes neural dynamics than Euclidean space.

Realistic coupling enables flexible macroscopic traveling waves in the mouse cortex

The paper shows that realistic cortical connectivity generates more macroscopic traveling waves than artificial connectivity in the mouse cortex, particularly in theta, alpha, and beta frequency bands.

Axonal theta oscillations evoke bursting in target hippocampal subregions

The paper investigates the functional role of axonal theta oscillations in coordinating hippocampal subregion activity by analyzing their correlation with spiking and burst patterns.

Frequency and Laminar Profile of Feature Specific Visual Activity Revealed by Interleaved EEG-fMRI

This study uses interleaved EEG-fMRI to show that gamma-band activity correlates with feature-specific visual signals in both superficial and deep cortical layers, and lower frequencies are linked to feature-unspecific BOLD signals.

On variability in local field potentials

The paper investigates variability in local field potentials (LFP) and proposes a new metric, CV(log(power ratio)), to quantify power variability, showing its reduction with stimulation and potential inverse relation to power changes.

A unified model of short- and long-term plasticity: Effects on network connectivity and information capacity

This paper introduces a new synaptic plasticity model that integrates short- and long-term dynamics, showing improved information capacity in recurrent neural networks.

Neural mechanisms of postural sway-related beta-band oscillations: a cortico-basal ganglia-thalamic network model of intermittent control

This paper develops a computational model of the cortico-basal ganglia-thalamic network to explain beta-band oscillations during postural sway, showing they emerge from intermittent control mechanisms.