Neural dynamics and brain function

Frontal theta phase modulates asymmetric posterior neural mechanisms of spatial attention

This study shows that theta rhythm phase in humans asymmetrically modulates spatial attention, with leftward attention linked to slower theta and posterior alpha-beta activity, while rightward attention involves faster theta and early sensory gain.

Time-Varying Dynamic Causal Modelling for Sequential Responses: Neural Mechanisms of Slow Cortical Potentials, Preparation, Planning and Beyond

This paper introduces DCM-SR, a new framework for modeling time-varying neural dynamics, and applies it to study slow cortical potentials in cognitive tasks.

Postsynaptic integration of excitatory and inhibitory signals based on an adaptive firing threshold

The paper models postsynaptic firing dynamics with and without an adaptive threshold, showing how inhibitory inputs can increase firing frequency and characterizing ISI noise properties.

Cellular and subcellular specialization enables biology-constrained deep learning

This paper develops a biology-compatible deep learning algorithm that uses specialized neuronal cell types and compartmentalized signaling to improve image classification.

Cortex-wide characterization of decision-making neural dynamics during spatial navigation

The paper characterizes decision-making neural dynamics during spatial navigation in mice by analyzing cortex-wide calcium dynamics across different paradigms.

Synchronization properties in C. elegans: Relating behavioral circuits to structural and functional neuronal connectivity

This study uses a computational model of C. elegans to explore how structural and functional connectivity relate to behavior, finding that locomotion circuits are segregated while others are distributed and more synchronized.

Shifts in attentional demand are accompanied by sex-specific patterns of insula-frontal cortical interactions in mice

This study examines sex-specific insula-frontal cortical interactions in mice during an attention task, finding differences in synchrony and theta-gamma coupling between males and females.

The transfer function as a tool to reduce morphological models into point-neuron models

The paper introduces a method to convert detailed morphological neuron models into point-neuron models by analyzing transfer function parameters under in vivo conditions.

Phase resetting of in-phase synchronized Hodgkin-Huxleydynamics under voltage perturbation reveals reduced null space

The paper studies how voltage perturbations affect synchronized Hodgkin-Huxley neuron models, showing that coupling strength and synchronization state influence the likelihood of transitioning to a quiescent state.

Cortical population codes for embedding sensory inputs into the prior context

The paper shows that frontal cortex integrates current sensory inputs with prior information to influence decision-making, while sensory cortex does not account for this history-dependence.

Compression Detects Changes in Spiking Neural Data from Cortical Lesions

This paper uses compression metrics to detect changes in spiking neural data from cortical lesions, finding that compression-based methods outperform single-neuron metrics in lesion detection accuracy.

Interhemispheric transfer of sensory and working memory information is dictated by behavioral strategy

This study shows that behavioral strategy determines the location of interhemispheric information transfer in mice, with passive strategies using posterior lateral association cortex and active strategies using barrel cortices.

A Spatially Structured Spiking Network Model of Beta Traveling Waves and Their Attenuation in Motor Cortex

This paper models beta traveling waves in primate motor cortex using a spiking network with spatial connectivity, showing they arise from Turing-Hopf instabilities and are modulated by external inputs.

Automated derivation of mean field models from spiking neural networks for the simulation of brain dynamics

The paper introduces Auto-MFM, a tool that automatically derives mean field models from spiking neural networks, accurately reproducing population dynamics and enabling exploration of physiological and pathological brain circuits.

Hierarchical Flows of Human Cortical Activity

This paper introduces geodesic cortical flow to quantify spatiotemporal propagation patterns in resting-state MEG data from healthy adults, revealing frequency-specific directional biases and cognitive associations.

Beyond where: When and how brain stimulation drives state transitions

This paper investigates how and when brain stimulation drives state transitions by analyzing subject-specific whole-brain models of neural dynamics.

Inhibitory-stabilization is sufficient for history-dependent computation in a randomly connected attractor network

This paper shows that inhibitory-stabilized networks can perform history-dependent computation at low firing rates, similar to excitatory networks.

Decodanda: a Python toolbox for best-practice decoding and geometric analysis of neural representations

Decodanda is a Python toolbox for decoding and geometric analysis of neural representations, providing tools to infer encoded variables and assess representational geometry with best-practice safeguards.

Dynamical Diversity in Conductance-Based Neuron Response to kilohertz Electrical Stimulation

The paper investigates how conductance-based neuron models respond to kilohertz electrical stimulation, revealing diverse dynamics including chaos and suppression, and proposes a method to map these responses in parameter space.

Spatiospectral signatures of stomach-brain synchrony

This study maps the spatiotemporal relationship between gastric rhythm and cortical oscillations, revealing consistent phase-amplitude coupling across brain regions and frequencies.

Frequency modulations of cortical synchronization in human cortex during wakefulness and sleep

This study examines how phase synchronization and phase-amplitude coupling change across sleep and wakefulness in the human brain, identifying state-specific patterns and differences between epileptogenic and non-epileptogenic regions.

Convergent cortical temporal axis: common cortical oscillatory modes

This paper identifies data-driven spectral coordination modes in cortical dynamics, showing they are distinct from hierarchical gradients and reveal shared organizational patterns across scales.

Neural circuit models for evidence accumulation through choice-selective sequences

The paper develops two neural circuit models for evidence accumulation through sequential neuronal activity and tests them against neural recordings from four brain regions during a decision-making task.

Opening the Black Box of Neural Computation from Neural Recordings with Gain-Modulated Linear Dynamical System

This paper introduces a method to infer neural computation mechanisms from recordings by decomposing dynamics into gain and connectivity components, revealing coexisting selection mechanisms in decision-making tasks.

Locally balanced inhibition allows for robust learning of input-output associations in feedforward networks with Hebbian plasticity

The paper shows that locally balanced inhibition prevents synaptic weight over-strengthening in feedforward networks with Hebbian plasticity, maintaining robust learning when input-output correlations are weak.

Capturing Spatially Organized Oscillatory Cliques as Signatures of Neuronal Assemblies

The paper introduces SPOOCs, spatially organized oscillatory cliques, and provides a tool to detect and analyze transient population dynamics in electrophysiological recordings.

Linking working memory maintenance and readout in monkey sensory and prefrontal cortex

This study identifies neurons in monkey auditory and prefrontal cortex that maintain tone-specific information during memory delay and later reflect behavioral decisions, challenging previous methods for identifying working memory neurons.

Bursts of regional cortical inhibition during smartphone use

This study examines beta-bursts during smartphone use, finding that bursts precede touchscreen interactions and are spatially localized to sensorimotor regions.

Coincident bursts of high frequency oscillations across the human cortex coordinate large-scale memory processing.

The paper identifies global coincident high frequency oscillations across the human cortex that coordinate memory processing during encoding and recall.

Neuromodulatory Control of Cortical Function: Cell-Type Specific Regulation of Neuronal Information Transfer

This study investigates how neuromodulators like dopamine and acetylcholine regulate neuronal information transfer by altering functional domains in excitatory and inhibitory neurons.