Michael X Cohen

Stopping Speed as State, Not Trait: Exploring Within-Animal Varying Stopping Speeds in a Multi-Session Stop-Signal Task

This study shows that stopping speed in rats varies across sessions and is not a fixed trait, suggesting SSRTs should be treated as state-like variables in multi-session stop-signal tasks.

Spatiotemporal resonance in mouse primary visual cortex

The paper shows that mouse primary visual cortex exhibits spatiotemporal resonance patterns similar to humans, with multiple frequency peaks and standing wave characteristics in response to flicker.

Similarity of brain activity patterns during learning and subsequent resting state predicts memory consolidation

The paper uses EEG data to analyze similarity in brain activity during learning and rest periods to predict memory consolidation, finding distinct patterns for serial-order and probability information.

Two modes of mid-frontal theta suggest a role in conflict and error processing

The paper identifies two distinct modes of mid-frontal theta oscillations during conflict and error processing in cognitive tasks.

Power spectrum slope confounds estimation of instantaneous oscillatory frequency

This paper shows that frequency sliding underestimates oscillatory frequency in the presence of 1/f power spectrum slope, and provides strategies to mitigate this bias.

Prefrontal, striatal, and VTA subnetwork dynamics during novelty and exploration

The paper analyzes neural activity in the prefrontal cortex, striatum, and VTA of rats during memory stages, revealing dynamic functional connectivity changes across time and frequency bands.

Characterizing neural phase-space trajectories via Principal Louvain Clustering

This paper introduces Principal Louvain Clustering to identify consistent neural phase-space clusters in low-dimensional subspaces from LFP recordings, showing behavior-related modulation.

Dynamics of neural microstates in the VTA-striatal-prefrontal loop during novelty exploration in the rat

The paper investigates neural microstate dynamics in the VTA-striatal-prefrontal loop during novelty exploration in rats using LFP recordings and finds rhythmic inter-regional synchronization linked to behavior.

Large- and multi-scale networks in the rodent brain during novelty exploration

The paper analyzes neural activity across multiple scales in mice during exploration, identifying reproducible but variable large-scale networks across brain regions.

Synchronization between keyboard typing and neural oscillations

This study investigates synchronization between keyboard typing and neural oscillations, finding that typing follows theta rhythmicity and synchronizes with neural oscillations across a range of frequencies.

Narrowband multivariate source separation for semi-blind discovery of experiment contrasts

This paper introduces csGED, a method for separating neural signals in MEG data by combining frequency and condition-specific analysis, showing improved performance over existing methods.

A data-driven method to identify frequency boundaries in multichannel electrophysiology data

This paper introduces a data-driven method to identify frequency boundaries in electrophysiology data, showing improved precision over standard approaches in Parkinson's patients and controls.

Multiple midfrontal thetas revealed by sourceseparation of simultaneous MEG and EEG

The paper investigates midfrontal theta activity using MEG and EEG data, finding that it is multidimensional rather than unitary, with multiple uncorrelated sources contributing to the signal.

Mesoscopic-scale functional networks in the primate amygdala

The paper identifies functionally distinct subnetworks in the primate amygdala using source separation of neural activity across multiple stimuli.

Low-cost and versatile electrodes for extracellular chronic recordings in rodents

The paper describes low-cost, custom-designed electrodes for chronic extracellular recordings in rodents and demonstrates their ability to record local field potentials.

Beta2 oscillations in the hippocampal-cortical novelty detection circuit

This study investigates beta2 oscillations in the hippocampal-cortical circuit during novelty detection in mice, finding that beta2 power increases specifically during novel contexts and shows coupling with delta oscillations and cortical coherence.

Midfrontal theta phase coordinates behaviorally relevant brain computations during cognitive control

This study shows midfrontal theta phase coordinates brain computations during cognitive control tasks, with behaviorally relevant effects observed across two datasets.

A better way to define and describe Morlet wavelets for time-frequency analysis

This paper presents alternative formulations of Morlet wavelets to improve parameterization in terms of temporal and spectral smoothing, providing clearer analysis and interpretation.

Sustaining attention for a prolonged period of time increases temporal variability in cortical responses

This study examines how prolonged attention affects neural responses, finding that task performance and temporal variability decline over time, while motivation does not fully restore performance.

How the level of reward awareness changes the computational and electrophysiological signatures of reinforcement learning

This study investigates how reward awareness affects reinforcement learning by combining computational modeling and EEG, showing that reduced reward visibility impairs learning but increases repetition of previous choices.

Using spatiotemporal source separation to identify prominent features in multichannel data without sinusoidal filters

This paper introduces a spatiotemporal source separation method to improve signal-to-noise ratio and reduce dimensionality in multichannel neural data without using sinusoidal filters.

Individual alpha peak frequency predicts 10 Hz flicker effects on selective attention

This study shows that 10 Hz flicker affects selective attention based on individual alpha peak frequency, with stronger effects during stimulus processing than preparation.

Multivariate cross-frequency coupling via generalized eigendecomposition

This paper introduces a new framework for analyzing cross-frequency coupling in electrophysiological data, showing improved performance over traditional methods in noisy and non-stationary conditions.

Comparison of linear spatial filters for identifying oscillatory activity in multichannel data

This paper compares linear spatial filters for identifying oscillatory activity in multichannel data, finding that they can be powerful but require careful parameter selection.

Rhythmic entrainment source separation: Optimizing analyses of neural responses to rhythmic sensory stimulation

This paper introduces RESS, a method to enhance the signal-to-noise ratio of steady-state evoked potentials by separating neural responses from noise in rhythmic sensory stimulation data.

Pre-trial exogenous visual flicker does not affect behavioral or EEG signatures of conflict processing

This study investigates whether pre-trial visual flicker affects conflict processing by examining behavioral and EEG outcomes, finding no significant effects.