This is a valuable study on how past sensory experiences shape perception across multiple time scales. Using a behavioural task and reanalysed EEG data, the authors identify two unifying mechanisms ...

Digital Optimization Protocol Inspired by Neural Rhythm Research and Identity-Based Habit SequencingSan Antonio, July 16, ...

Antibody–siRNA conjugates (ARCs) are a type of promising drug modalities for cancer therapy. However, initial reports of ARCs present the gene knockdown effect only in limited tissues (e.g., muscles) ...

This useful study presents a biologically realistic, large-scale cortical model of the rat's non-barrel somatosensory cortex, investigating synaptic plasticity of excitatory connections under varying ...

Learn what is Linear Regression Cost Function in Machine Learning and how it is used. Linear Regression Cost function in Machine Learning is "error" representation between actual value and model ...

IndexHooks is an existing CFI solution designed against forward function calls tampering (including direct and indirect jump). This solution constructs a read-only linear function table that stores ...

Biventricular and biatrial function were assessed using standard cardiovascular magnetic resonance (CMR) techniques and feature tracking. Group comparison was performed with conventional ...

PerturbNet is a generative AI model that can predict shifts in cell state—changes in overall gene expression—in response to ...

The current work is an effort to introduce the preliminaries of the main document titled "Introduction to irregular sequences and functions. Therefore, you can find the processes that involve ...

The current document is the main document after the prelude: introduction to irregular sequences and functions. Be alert to the introduction of the control function which was borrowed from computer ...