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...
The prefrontal cortex (PFC) is a critical brain region associated with higher-order cognitive functions, including executive function, decision-making, social behavior, and emotional regulation. The PFC undergoes significant development across the lifespan, with distinct regions contributing to various aspects of cognitive control and behavior. Here are the key regions of the prefrontal cortex and their functions: 1. Orbitofrontal Cortex (BA 11) : o Location : Located in the ventromedial part of the PFC. o Function : The orbitofrontal cortex is involved in decision-making, reward processing, emotional regulation, and social behavior. It plays a role in evaluating the emotional and motivational significance of stimuli and guiding adaptive behavior based on reward outcomes. 2. Ventrolateral PFC (BA 44, 45, 47) : o Location : Situated in the lower lateral aspects of the PFC. o Functi...