Neural dynamics and brain function

From Resonance to Computation:A Six-Layer Framework for Analog Neural Processing in Coupled RLC Oscillator Networks

This paper introduces a six-layer computational framework for analog neural processing in coupled RLC oscillator networks, showing how they compute through resonance, phase differences, and attractor dynamics.

Stable, Variable, Encoding: Distinct Roles of SST, VIP, and EXC Neurons in Visual Novelty Processing

The paper examines how different neuron types encode visual novelty over time, finding that SST neurons maintain stable representations while VIP neurons show flexible encoding depending on novelty type.

Hierarchy in neuronal representations of multiple tasks in prefrontal cortex

The paper identifies a hierarchical neural geometry in prefrontal cortex that supports multitask behavior by organizing spatial information across subtasks and meta-tasks.

Planar, Spiral, and Concentric Traveling Waves Distinguish Cognitive States in Human Memory

The paper identifies different types of traveling waves in brain activity during memory tasks and links their patterns to specific cognitive processes and remembered items.

Interactions across hemispheres in prefrontal cortex reflect global cognitive processing

The paper uses dual hemisphere recordings and a novel statistical method to show shared neuronal variability across prefrontal cortex populations linked to arousal.

Multiple Oscillatory Neural Rhythms Support Metacognitive Access of Working Memory

This study identifies two oscillatory neural codes for memory uncertainty in working memory using EEG and a visual working memory task with uncertainty reports.

The dominance of large-scale phase dynamics in human cortex, from delta to gamma

This study estimates the spatial frequency spectrum of cortical phase dynamics using sEEG, finding that low spatial frequencies dominate across a wide range of temporal frequencies.

Single-Cell Perturbations Reveal Selective Modulation of Causal Connectivity During Decision-Making

The paper investigates how cortical connectivity changes during different phases of a decision-making task in mice, finding phase-specific modulation of causal connectivity.

Dynamic electrocortical states and paradoxical complexity during desflurane anesthesia

This study identifies seven cortical states during desflurane anesthesia, revealing a paradoxical activated state with increased complexity during deep anesthesia.

Invariant activity sequences across the mouse brain

The paper shows that stable neural activity sequences are present across the entire mouse brain and remain consistent over weeks.

Respiration as a dynamic modulator of sensory sampling

This study shows that respiration enhances perceptual sensitivity to near-threshold visual stimuli by modulating arousal, cortical excitability, and neural information flow.

A walk-sum framework of frequency-dependent brain communication architecture

This paper introduces a walk-sum framework to analyze frequency-dependent brain communication using connectome topology, showing it predicts spatial modes and is validated across multiple datasets.

Task-dependence of network-to-network variability in learning, performance, and dynamics of heterogeneous recurrent networks

The paper investigates how task-dependent variability arises in artificial recurrent networks with intrinsic heterogeneities, showing functional degeneracy and non-monotonic relationships between heterogeneity, task demands, and performance.

Temporoparietal alpha dynamics shape feedback-based updating during social bargaining

The paper investigates how temporoparietal alpha dynamics influence feedback-based updating during social bargaining using a combination of EEG, fMRI, and TMS.

Brain anatomy and molecular signaling predict neurophysiological dynamics across the lifespan

The paper uses MEG and cortical maps to predict neural activity patterns across age, linking them to anatomical and molecular features.

Dynamic cortical routing mediates temporal attention

This study investigates how temporal attention affects neural communication by routing stimulus information through specific cortical pathways using MEG.

Exploring neural manifolds across a wide range of intrinsic dimensions

The paper introduces a robust method to estimate the intrinsic dimension of neural manifolds, showing it is reliable across different data types and conditions.

Pupil-linked arousal differentially modulates cell-type-specific sensory processing

The paper examines how pupil-linked arousal modulates sensory processing in different cell types of the auditory cortex in awake mice, revealing cell-type-specific effects on response magnitude, frequency selectivity, and decoding accuracy.

Emergence of multifrequency activity in a laminar neural mass model

This paper analyzes a laminar neural mass model to show it can generate periodic, quasiperiodic, and chaotic oscillations, including cross-frequency couplings, and examines how Alzheimer's disease affects these dynamics.

Millimeter-scale selective amplification in the developing visual cortex

The paper shows that cortical networks preferentially amplify inputs aligned with endogenous recurrent subnetworks, enhancing response reliability and spatiotemporal stability.

Shared and distinct oscillatory fingerprints underlying episodic memory and word retrieval

This study compares oscillatory patterns in EEG data during episodic memory and word retrieval tasks, finding similarities in right parietal regions and differences in other areas.

Spiking neural networks provide accurate, efficient and robust models for whisker stimulus classification and allow for inter-individual generalization

The paper benchmarks spiking neural networks for whisker stimulus classification in mice, showing their accuracy, efficiency, and ability to generalize across individuals.

Multiple bursting patterns in Lateral Habenula neurons: experiments and computational model

The paper analyzes bursting patterns in Lateral Habenula neurons using experimental data and a computational model, identifying distinct dynamic states and their implications for mood regulation.

Active Dissociation of Intracortical Spiking and High Gamma Activity

This study shows that high gamma activity (HGA) in the cortex is not primarily generated by local spikes but by summed postsynaptic potentials from widely distributed neurons.

Parametric models for predicting nonstationary spike-spike correlations with local field potentials

The paper develops parametric models to predict nonstationary spike-spike correlations using LFP features and applies them to track changes in correlations over time in mouse hippocampus and visual cortex data.

Functionally convergent but parametrically distinct solutions: Robust degeneracy in a population of computational models of early-birth rat CA1 pyramidal neurons

The paper shows that different ion channel configurations and neuron shapes can produce similar electrophysiological behaviors in CA1 pyramidal neurons, demonstrating robust degeneracy.

Spike generation in electroreceptor afferents introduces additional spectral response components by weakly nonlinear interactions

The paper identifies nonlinear spectral response components in electroreceptor afferents under weakly nonlinear conditions, showing interactions between stimulus frequencies and baseline firing rates.

Modularity-dependent storage of dynamic spiking patterns: bridging micro- and mesoscopic representations

The paper studies how modular spiking neural networks store and retrieve dynamic spatiotemporal patterns by adjusting temporal overlap between modules.

Functional distinction between ionic and electric ephaptic effects on neuronal firing dynamics

This study presents a computational framework to explore the functional distinction between ionic and electric ephaptic effects on neuronal firing dynamics, showing they regulate population rates and spike timing differently.

Brain criticality emerges with developmental shifts in frequency-specific excitation-inhibition balance

The paper quantifies how adolescent brain maturation shifts excitation-inhibition balance and proximity to criticality using EEG data from 169 participants aged 10-33.