Adaptive N-back Task using Hidden Markov Models – PYTHON

Table of Contents Introduction Installation Required Imports Data Preparation Parameter Estimation Model Initialization Online Adaptation Performance Monitoring Conclusion 1. Introduction This guide provides a step-by-step approach to creating an adaptive n-back task...

N-back- adaptive training HMM

Adaptive n-back task using Hidden Markov Models (HMM) based on reaction time and response accuracy, follow these steps: Process Overview Data Collection: Reaction Time: Record the time taken for each response. Response Accuracy: Record whether each response is correct...

WMT: Why Use HMM with Gaussian Emissions?

Why Use HMM with Gaussian Emissions?In the context of creating an adaptive n-back task using Hidden Markov Models (HMMs), we use HMM with Gaussian emissions for the following reasons: 1. Continuous Observation Variables: The primary data we’re working...