Neural dynamics and brain function

The paper demonstrates subthreshold asynchronous computations in biophysically detailed neuron networks using graded synaptic transmission without spiking.

This study shows that gamma synchronization between insula and prefrontal cortex supports modality-specific shifts in behavioral strategies in mice.

This paper introduces a theory of hierarchical credit assignment in the cortex, linking cell-type-specific dendritic excitation-inhibition balance to learning and behavior.

This paper introduces a method to estimate excitatory and inhibitory conductance during oscillatory periods by analyzing spike amplitude and interspike intervals from membrane potential recordings.

The paper tests whether neurons multiplex signals when place coding is insufficient, finding that multiplexing increases when responses to individual stimuli become more similar.

This paper proposes a continuous attractor neural network model that implements decision making through complementary ramping and sequential neural responses, reproducing diffusion decision model behavior.

The paper investigates how aperiodic neural activity relates to cognitive demand across the cortical hierarchy using combined fMRI and MEG data.

BRIDGE is a Python pipeline that reconstructs and validates mean-field models from single neuron dynamics, enabling reproducible and reusable large-scale brain simulations.

This study examines theta-gamma phase-amplitude coupling during sensorimotor adaptation tasks and finds task-dependent spatial patterns of modulation.

This study examines how Purkinje cell populations in zebrafish larvae develop coordinated activity through visual stimulation and early retina-dependent signals.

The paper demonstrates how dynamic attractor trajectories in neuronal networks, influenced by sensory input and self-generated activity, enable behavioral flexibility and control through mutual interactions between neural and biomechanical systems.

The paper characterizes the geometry of brain activity across development by analyzing neural feature spaces in children and adults using EEG data.

This study investigates the role of the CM/Pf nucleus in mesocircuit dynamics related to awareness in non-human primates using causal perturbations and imaging.

The paper investigates how structured connectivity in neural circuits gives rise to sequential computations by identifying circuit motifs that generate different types of neuronal selectivity.

This study uses control-theoretic methods to show that propofol anesthesia reduces interareal control in the brain, leading to a directional breakdown of cortical control.

The paper constructs a human-specific prefrontal circuit model using transcriptomic data, revealing divergent oscillatory dynamics and highlighting the need for human-specific recalibration of conductance parameters.

The paper introduces an error-in-variables regression framework to quantify mismatches between neural representations and measured variables, showing it accurately recovers dynamics and identifies fidelity regimes in neural data.

This study examines age-related changes in alpha oscillations using EEG data, finding slowed peak frequency, reduced power, and altered spatiotemporal propagation in older adults.

The paper examines how asymmetry in subcortical brain structures relates to cortical oscillatory power in resting-state MEG data from healthy adults.

This study shows that EEG microstate dynamics generate both periodic and aperiodic features in the neural power spectrum.

The paper shows that self-generated ephaptic fields decorrelate neural populations and improve coding, unlike externally imposed fields that synchronize and reduce performance.

The paper shows that alignment between spikes and high-gamma LFPs depends on the coding scheme, using visual memory variables in macaques.

This paper investigates thalamocortical dynamics during theory of mind tasks using fMRI and sEEG, finding that the thalamus coordinates default network activity through phase-amplitude coupling without local activation.

This study investigates thalamic oscillatory mechanisms during motor sequence learning, finding distinct roles for beta-band power and beta-high-frequency coupling in supporting learning.

The paper maps lifespan EEG trajectories across age groups, revealing nonlinear patterns and spatial variations in brain activity.

This paper challenges the standard decomposition of neural power spectra into periodic and aperiodic components, arguing that the distinction is not as clear-cut and that temporal envelope information is lost in static power spectra.

This paper studies slow relaxation oscillations in neural mass models with spike frequency adaptation, identifying chaotic behaviors and their relation to Up and Down states.

This study uses OPM-MEG to examine beta-band dynamics during a naturalistic motor task of playing a musical instrument, showing changes in beta amplitude before and after a violin lesson.

The paper examines longitudinal changes in aperiodic EEG activity and links them to age-related declines in sustained attention but not executive function.

The paper shows that network symmetry determines the stability of rhythmic firing patterns in phase-of-firing codes, using Sudoku-inspired model networks.