Lyle Muller

This study uses closed-loop auditory stimulation to enhance NREM sleep oscillations in older adults and links fast spindle activity to individual memory improvements.

This study identifies recurrent inhibition as a key circuit motif regulating functional states of stress effector neurons through experimental and computational approaches.

This study uses frequency-tagged fMRI to show that visual cortical responses are suppressed during inattention and enhanced during attention, supporting the normalization model of attention.

This paper introduces multipolar temporal interference (mTI), a method that improves focal control of non-invasive deep brain stimulation in animals.

This study uses frequency-tagging fMRI to show that directed attention enhances anti-phase BOLD oscillations and suppresses in-phase oscillations in visual cortex, supporting the biased competition model of attention.

This paper develops and validates a dual-frequency tagging fMRI protocol to enable fine-grained spatiotemporal analysis of cortical function, revealing detailed cortical topographies and temporal synchronization.

The paper examines single neuron diversity in primate visual cortical areas V1 and LPFC, finding differences in morphology, electrophysiology, and intrinsic bursting that may underlie functional specialization.

This study compares spatial navigation strategies and hippocampal neural mechanisms between marmosets and rats, showing differences due to visual system adaptations.

This study examines how neural activity in the primate lateral prefrontal cortex is organized during different cognitive tasks, finding that task-related activity has a consistent spatial scaffold with task-specific reconfiguration.

The paper identifies a translaminar spacetime pattern in the sensory cortex that supports touch-evoked traveling waves through experimental and computational analysis.

The paper identifies laminar boundaries in primate cortex using spike-phase coupling patterns, offering a rapid and reliable alternative to current-source density analysis.

This study examines the effects of MECP2 mutations on neuronal and network phenotypes in human stem cell-derived excitatory neurons, showing a spectrum of morphological, electrophysiological, and circuitry changes based on mutation severity.

This study shows that neural sequences in primate prefrontal cortex encode working memory in naturalistic environments through sequential neuron activation.

This study identifies a mechanism by which CRH neurons in the hypothalamus switch between activity states in response to stress, using electrophysiology and computational modeling.

The paper uses deep learning to detect sleep spindles across multiple brain areas and finds they are widespread and modulated by memory load.

The paper identifies spontaneous traveling cortical waves in awake primates and shows they predict perceptual sensitivity and sensory processing.

The paper develops a thalamocortical network model to explain differences in sleep spindle properties between MEG and EEG recordings and links these to cortical and thalamic connectivity.