A Systematic Structure-Function Characterization of a Human Mutation in Neurexin-3{alpha} Reveals an Extracellular Modulatory Sequence That Stabilizes Neuroligin-1 Binding to Enhance the Postsynaptic Properties of Excitatory Synapses

AI SummaryThe text discusses a systematic investigation of a human mutation in Neurexin-3α, which is associated with intellectual disability and epilepsy. The mutation, A687T, was found to enhance binding to neuroligin-1 and neuroligin-3, resulting in increased postsynaptic properties at excitatory synapses. This study provides insights into the structural and functional aspects of this mutation and… Continue reading A Systematic Structure-Function Characterization of a Human Mutation in Neurexin-3{alpha} Reveals an Extracellular Modulatory Sequence That Stabilizes Neuroligin-1 Binding to Enhance the Postsynaptic Properties of Excitatory Synapses

Large-Scale Mechanistic Models of Brain Circuits with Biophysically and Morphologically Detailed Neurons

AI SummaryThis article discusses the development of large-scale mechanistic models of brain circuits using biophysically and morphologically detailed neurons. These models integrate experimental data to investigate brain structure, function, and disease. They have predictive capabilities for understanding cellular and circuit mechanisms, brain function, and simulating biomarkers for diseases like epilepsy, depression, schizophrenia, and Parkinson’s. The… Continue reading Large-Scale Mechanistic Models of Brain Circuits with Biophysically and Morphologically Detailed Neurons

Aperiodic EEG Predicts Variability of Visual Temporal Processing

AI SummaryThe study investigates the relationship between aperiodic EEG activity and visual temporal processing variability. While brain rhythms have been extensively studied in sensory processes, aperiodic activity has been neglected. The research found that individuals with flatter EEG spectra (greater neural excitation) exhibited increased sensory noise, leading to shallower psychometric curves in two-flash discrimination tasks.… Continue reading Aperiodic EEG Predicts Variability of Visual Temporal Processing

Startup helps people fall asleep by aligning audio signals with brainwaves

AI SummaryElemind, a startup founded by a team including an MIT professor, is using an EEG headband to emit acoustic stimulation aligned with brainwaves to help people fall asleep more quickly. In a study, 30 minutes of stimulation decreased sleep onset by 10 to 15 minutes. The device may offer benefits over sleeping pills in… Continue reading Startup helps people fall asleep by aligning audio signals with brainwaves

An abstract linguistic space for transmitting information from one mind to another

AI SummaryThe article explores how linguistic information is transmitted from one person’s brain to another’s during face-to-face conversation. The authors use intracranial recordings and neural network language models to identify an abstract, shared linguistic space that exists during conversation.In this issue of Neuron, Zada et al. examine how linguistic information flows from a speaker’s brain to… Continue reading An abstract linguistic space for transmitting information from one mind to another