Neural dynamics and brain function

DigiMus: a connectome-informed spiking framework for multi-region mouse neural-behavior modeling

DigiMus integrates connectome-derived structural priors into a spiking neural network framework for mouse neural-behavior modeling, showing improved performance in complex tasks.

Independence and Coherence in Temporal Sequence Computation across the Fronto-Parietal Network

This study investigates how the fronto-parietal network switches between independent and coherent temporal coding modes during timing tasks in mice.

BiXformer: A Bidirectional Cross Attention Transformer for Disentangling Inter-Regional Neural Dynamics

BiXformer disentangles bidirectional neural communication by modeling causal and acausal streams, revealing temporally structured components in neural dynamics.

A mean-field model of neural networks with PV and SOM interneurons reveals connectivity-based mechanisms of gamma oscillations

This paper develops a mean-field model of E-PV-SOM circuits to show that gamma oscillations arise from specific connectivity patterns between cell types.

Multi-stable oscillations in cortical networks with two classes of inhibition

The paper develops a spiking network model of cortical neurons with two inhibitory subtypes and VIP modulation, showing it can produce multiple coexisting rhythms.

Low-dimensional Neural Codes Suppress Neuronal Noise and Extend the Working Memory Duration

The paper shows that low-dimensional neural coding suppresses noise and extends working memory duration in recurrent networks through theoretical analysis and experimental validation in mice.

What can a neuron compute

The paper demonstrates that detailed models of rat pyramidal neurons can perform complex computational tasks using a novel algorithm, highlighting dendritic nonlinearities as key to high-order feature binding.

Emergent Entrainment and Predictive Dynamics in Bio-Inspired Spiking Neural Networks

This paper develops a spiking neural network framework to study auditory rhythm perception, showing phase-locking and anticipatory dynamics emerge from network properties.

From homeostasis to credit assignment: a signed-XOR connectomic motif for local directional error signalling

The paper identifies a signed-XOR connectomic motif that enables directional error signaling in neural circuits, showing its enrichment in C. elegans, Drosophila, and mouse visual cortex.

Age-Related Alterations in Multispectral Somatosensory Gating: Evidence for Partial Compensation in Attentional Performance

This study examines age-related changes in somatosensory gating across multiple frequency bands and finds partial compensation in attentional performance through increased gamma SG in the supplementary motor area.

Prefrontal gamma oscillations engage dynamic cell type-specific configurations to support flexible behavior

The paper shows that gamma oscillations in the prefrontal cortex involve dynamic, cell-type-specific synchronization patterns that support flexible behavior.

Working Memory as Programmable Fast Weight Computation

This paper investigates working memory as a form of recurrent fast-weight computation, showing that a model based on linear Transformer computation can replicate neural dynamics observed in macaque prefrontal cortex during a visuospatial task.

Opposing intrinsic and synaptic plasticity mechanisms stabilize altered cortical networks during sleep deprivation

The paper shows that sleep deprivation causes depolarizing GABAAR signaling and spike threshold adaptation in cortical neurons, stabilizing network activity despite increased firing rates.

Statistics of cortical representational drift can enable robust readout

The paper shows that heavy-tailed statistics of neural drift in the brain can be exploited by adaptive readout mechanisms to maintain stable information extraction.

Thalamic Nuclei Differentially Coordinate Propagation of Cortical Slow Oscillations

The paper examines how different thalamic nuclei coordinate with cortical slow oscillations during sleep, finding nucleus-specific patterns linked to propagation types.

Neural synchrony between prefrontal and visual cortex supports visual working memory

The paper investigates how neural synchrony between prefrontal and visual cortex supports visual working memory using magnetoencephalography in humans.

Low-dimensional prefrontal representations of objects during working memory

The paper investigates the dimensionality of prefrontal cortex representations during working memory and finds they are low-dimensional, compressed compared to visual inputs.

Closed-loop neurofeedback reshapes preparatory brain states to bias subsequent pain processing

This study shows closed-loop neurofeedback can reshape preparatory brain states, reducing pain perception by altering neural dynamics and microstate transitions.

Equivalent volitional learning emerges through circuit-specific population dynamics in motor cortex and hippocampus

This study shows that equivalent learning outcomes emerge through different population dynamics in motor cortex and hippocampus during volitional control tasks.

Global nonequilibrium cortical dynamics tie mid-level pupil-linked arousal to optimal task performance in humans

The paper examines how global cortical dynamics, measured via EEG and pupil-linked arousal, relate to perceptual sensitivity under different neuromodulator conditions.

Lifespan Trajectories of Resting State EEG power

The paper analyzes resting state EEG power trajectories across age and sex in a large sample, finding age-related decreases and sex-specific reversals in certain frequency bands.

Longitudinal versus Cross-sectional effects of Age on MEG Power Spectra Parameters: Implications for Normative Models and Brain Ageing

The paper compares longitudinal and cross-sectional effects of age on MEG power spectra parameters, showing that longitudinal data better capture age-related changes in brain function.

Low-Frequency activity shapes fine-scale information routing in the early visual cortex

The paper shows that alpha-band activity in V1 carries stimulus information with fine spatial specificity during figure-ground segregation, linking low-frequency rhythms to effective communication between cortical areas.

Theta gates and routes information in the frontal cortex

This study investigates how theta oscillations coordinate neural activity in the frontal cortex of non-human primates during a dot pattern categorization task, revealing directional routing and cross-frequency interactions.

Visual gamma stimulation causes prolonged enhancement of low-frequency blood flow oscillations across cortical regions in mice

This study shows that visual gamma stimulation increases low-frequency blood flow oscillations in multiple cortical regions of mice, with effects lasting beyond 24 hours.

Spontaneous and stimulus-driven arousal produce distinct acetylcholine dynamics across sensory and prefrontal cortex

The paper distinguishes between spontaneous and stimulus-driven acetylcholine dynamics in sensory and prefrontal cortex using genetically encoded sensors and multivariate modeling in awake mice.

NMDA Receptor Kinetics Drive Distinct Routes to Chaotic Firing in Pyramidal Neurons

This study identifies two distinct pathways to chaotic firing in neurons based on NMDA receptor kinetics and stimulation frequency, revealing how these factors influence information encoding and stability.

Sex-related differences in healthy aging: changes in neuroelectric brain activity reconstructed from resting-state MEG

The paper examines sex-related differences in brain electrical power across age cohorts using MEG and MRI data from 434 subjects, finding invariant total brain power across lifespan after intersex averaging.

Role of GABA and NMDA receptors in shaping cortical timescales and large-scale network dynamics

This study manipulates GABA and NMDA receptors in humans to show that GABAergic inhibition increases neuronal timescales and alters large-scale network dynamics.

Gaining insight into the non-focality of beta oscillation suppression along the sensorimotor cortex using corticomuscular coherence

The paper investigates the non-focality of beta oscillation suppression in the sensorimotor cortex using corticomuscular coherence during movement tasks.