electrophysiology

This study shows that recognition signals in memory tasks share a common neural format across different memory scales, with changes in timing, strength, and behavioral relevance.

This study examines trunk muscle activity in centipedes during different locomotion patterns, finding that the same muscles serve contrasting roles in generating undulation or straightening the trunk.

This paper quantifies excitation-inhibition balance in a spiking neural network model of hippocampal CA1, showing how disruptions in this balance lead to epileptogenic state transitions.

This study shows that suppressing KCNH1 rescues seizures and developmental issues caused by gain-of-function variants in KCNH1.

This paper uses automated patch-clamp assays to reclassify SCN1A missense variants, changing classifications for 50% of tested variants.

The paper identifies how medial frontal cortex integrates semantic content and sensory evidence for decision-making using human neurosurgical data and a vision-language model.

The paper examines altered sensory integration in a rat model of Fragile X Syndrome, finding enhanced visual capture and reduced self-motion processing in the head-direction system.

This study uses simulations to show that low-dimensional optogenetic stimulation can effectively control neural latent dynamics with fewer channels than neurons, guiding future hardware design.

The paper investigates how motivational context affects cortico-medullary communication during different types of licking behavior in mice.

The paper shows neurons entrain an intrinsic arteriole rhythm, shaping blood distribution and vascular responses through frequency-dependent mechanisms.

The paper develops a biophysical model of the SCN to explain circadian rhythm splitting under chronic light and shows how E/I balance and chloride cotransporter dynamics drive this behavior.

This study examines how developmental changes in oscillatory and spontaneous neural activity support improved inhibitory control from adolescence to adulthood using EEG data.

This paper develops a real-time sleep stage classifier for N2 and N3 sleep using scalp and intracranial EEG, showing high accuracy and informing stimulation timing.

This study identifies scotopic retinal circuit dysfunction in early diabetic retinopathy, linking hyperactivity to rod bipolar cell abnormalities and visual impairment under low-light conditions.

This study examines auditory evoked potentials in Kabuki syndrome and Rubinstein-Taybi syndrome, finding differences from controls and correlations with cognitive aspects.

This paper proposes a lightweight, interpretable method for emotion recognition using EEG foundation models by analyzing attention maps, achieving competitive performance with fewer computations.

This paper introduces SPress, a method that enables high-speed, high-contrast voltage imaging of large neuronal populations in vivo with mesoscopic resolution.

This paper introduces Braincodec, a deep encoder that improves sound transmission via cortical stimulation, achieving high-fidelity sound reconstruction and matching non-implanted mice in sound discrimination.

The paper shows that a dual-band vibration burst improves anti-kindling in a spiking network model compared to single-frequency stimulation.

The paper shows that mice retain spatial memory in the hippocampus after long absences, with neural patterns persisting despite changes in individual neuron activity.

This study finds that a single session of mirror visual feedback does not significantly alter subsequent motor imagery-related neural activity.

The paper uses a bio-realistic model of mouse primary visual cortex to show that cortical oscillations follow a spectrolaminar motif, with gamma in superficial layers and alpha/beta in deep layers, driven by specific cell types and synaptic properties.

The paper shows curved hippocampal geometry masks theta oscillations through regional cancellation, while beta and gamma oscillations remain observable due to less coordinated generators.

This study shows that subquantal serotonin release during kiss-and-run exocytosis is due to fusion-pore closure, not vesicle depletion.

The paper investigates how neural circuits in the primate frontal cortex support compositional generalization by separating computations into spatial and temporal components and identifying biases when these components are misaligned.

The paper updates the Human Neocortical Neurosolver model to include biophysically realistic dynamics in human neurons, enabling better interpretation of EEG/MEG signals.

The paper introduces a framework combining a fine-tuned LLM and TRFs to isolate social context's influence on speech perception, showing social context improves EEG prediction.

LeadWeaver improves ECG diagnosis by modeling lead topology and uncertainty, outperforming methods that treat missing leads as zero-valued inputs.

The paper investigates whether traveling waves in attention networks reflect top-down attention signals or are a byproduct of sustained attention, finding they align with the intrinsic rhythms of engaged sensory systems.