Neural dynamics and brain function

Cortical long-range dynamics track excitation-inhibition balance across cognitive states and organizational principles

The paper shows that excitation-inhibition balance is reflected in long-range cortical dynamics and is state-dependent, extending beyond fMRI to arousal-linked dynamics.

Recurrent Spiking Neural Networks for Continuous Motor Control: A Biologically Plausible Model of Motor Cortex

This paper develops a biologically plausible recurrent spiking neural network model of motor cortex that learns continuous motor control through synaptic plasticity and feedback mechanisms.

State-dependent modulation of cross-area sensory processing in mouse neocortex

The paper investigates how behavioral states modulate sensory processing across brain regions in mice during a choice task, identifying state-dependent differences in neural activity and information routing.

Neural mechanisms for resilient sensory computation under metabolic stress

The paper investigates how food-restricted mice maintain visual discrimination performance by analyzing neural noise structure and decision time changes.

Rapid switching of in-phase and anti-phase interhemispheric rhythms within a single theta cycle: a mechanistic explanation

The paper explains how the granular retrosplenial cortex exhibits rapid switching between in-phase and anti-phase interhemispheric rhythms within a single theta cycle using computational models.

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.

Theta-Phase Targeted Encoding Gates Memory Sensitivity

This study investigates how theta-phase timing during encoding affects memory sensitivity using a closed-loop EEG system in an associative memory task.

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.

Item-specific clustering of high gamma-band activity on theta phase during speech categorization

The paper investigates phase-dependent perceptual biases during speech categorization and finds item-specific theta-gamma phase-amplitude coupling linked to neural and perceptual responses.

Heterogeneous self-couplings enable scale-invariant memory and cognitive flexibility without criticality

This paper introduces a recurrent neural network model with heterogeneous self-interactions that generates scale-invariant memory and cognitive flexibility without requiring criticality.

Estrogen remodels large-scale cortical dynamics to promote behavioral persistence

This study shows that estrogen increases behavioral and neural persistence in the prefrontal cortex of female mice by altering neural dynamics and connectivity.

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.

Connectivity predicts where computation forms and where it can be changed

The paper shows that neural connectivity defines classes that organize computation and predicts how interventions affect dynamical motifs.

Coordinated Drift of Image Representations in Human EEG

The paper investigates drift in human EEG responses to images across sessions, finding coordinated drift along image identity dimensions and preserved global structure.

An energy-dependent integrate-and-fire model explains coordinated synaptic and intrinsic adaptation under metabolic stress

The paper develops an energy-dependent integrate-and-fire model to explain how neurons adapt their biophysical parameters under metabolic stress to maintain an optimal energy-information trade-off.

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.

Auditory tracking magnitude, temporal alignment, and anatomical distribution during wakefulness and propofol-based anesthesia

The paper examines how auditory tracking changes during wakefulness and propofol anesthesia by analyzing response magnitude, temporal alignment, and anatomical distribution using sEEG data.

Flexible compression of sensory evidence makes human decisions more resilient to noisy neural computations

The paper shows humans make more accurate decisions by compressing sensory evidence into decision categories, and RNNs trained on the same task exhibit similar resilience to noisy computations.

Lateral Propagation from Sensory Cortex Provides Differential Gain for Sensory Selection

The paper investigates lateral propagation from sensory cortex as a mechanism for differential gain in sensory selection during a whisker-based task in mice.

Glutamatergic excitation suppresses latent cortical pacemaking

The paper shows that reducing glutamatergic excitation in the awake rabbit cortex reveals a local population pacemaker mechanism, distinguishable from epileptiform activity.

Heterogeneous plasticity rules generate diverse structures in recurrent networks

The paper shows that combining different STDP rules generates diverse neural network motifs, but no single rule can produce all possible structures.

Familiarity synchronizes brain rhythms during natural viewing

The paper shows familiarity enhances intersubject synchrony in beta and gamma rhythms during natural viewing, reflecting coordinated processing in visual and default mode networks.

Goal directed closed-loop training of network bursts in cortical cultures produces improved performance and error correction over days

The paper trains dissociated rat cortical cultures to control network burst initiation and error recovery over days using a closed-loop system, showing retention and consolidation of learned behaviors.

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.

The marginal brain

The paper shows that response variance in cognitive tasks scales with predicted ratios from a model of endogenous precision, demonstrating the detectability of energy price changes in neural coding.

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.

Heavy-tailed connections support robust neural communication

The paper shows heavy-tailed synaptic connections improve neural communication robustness against noise across species and brain regions.

Inferring brain structural complexity from dynamical measures

This study evaluates how neural complexity metrics relate to network architecture by simulating neural dynamics across diverse network structures and analyzing both observational and perturbational measures.

Development of py-mea-span for comprehensive analysis of multi-electrode array data and its application to LGI2-deficient neurons

Open-source Python package parses Axion spk files directly and matches NeuralMetric Tool outputs, then reveals burst and network burst hyperexcitability, without synchrony change, in LGI2-knockdown human iPSC neurons.

Transient cortical activity modulates somatosensory gating during postural control

This study shows that somatosensory responses during postural control are influenced by prestimulus cortical activity and connectivity, with specific beta-band features correlating with changes in evoked potentials.