Cortically Disparate Visual Features Evoke Content-Independent Load Signals during Storage in Working Memory

It is well established that holding information in working memory (WM) elicits sustained stimulus-specific patterns of neural activity. Nevertheless, here we provide evidence for a distinct class of neural activity that tracks the number of individuated items in working memory, independent of the type of visual features stored. We present two EEG studies of young… Continue reading Cortically Disparate Visual Features Evoke Content-Independent Load Signals during Storage in Working Memory

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