This research paper presents SIMPL (Scalable Iterative Maximization of Population-coded Latents), a novel, computationally efficient algorithm designed to refine the estimation of latent variables and tuning curves from neural population activity. Latent variables in neural data represent essential low-dimensional quantities encoding behavioral or cognitive states, which neuroscientists seek to identify to understand brain computations better. Background and Motivation Traditional approaches commonly assume the observed behavioral variable as the latent neural code. However, this assumption can lead to inaccuracies because neural activity sometimes encodes internal cognitive states differing subtly from observable behavior (e.g., anticipation, mental simulation). Existing latent variable models face challenges such as high computational cost, poor scalability to large datasets, limited expressiveness of tuning models, or difficulties interpreting complex neural network-based functio...
Electrocerebral inactivity (ECI) refers to a state in which there is a complete absence of detectable electrical activity in the brain as recorded by an electroencephalogram (EEG). Here are the key aspects of ECI: 1. Definition ECI is defined as the absence of any electrical potentials greater than 2 µV when reviewed at a sensitivity of 2 µV/mm. This indicates that there is no visible cerebrally generated activity on the EEG 33. 2. Clinical Significance Diagnosis of Brain Death : ECI is a critical finding in the determination of brain death. It confirms the irreversible loss of all brain functions, which is essential for legal and medical declarations of death 34. Prognostic Indicator : The presence of ECI generally indicates a poor prognosis, particularly in patients with severe neurological impairment or coma. However, it is important to consider the clinical context, as ECI can sometimes be ...