Simulate and forecast single-neuron dynamics using the Izhikevich model in Python. This project supports multiple neuron types, parameter sweeps, and integrates advanced time series forecasting (TimeGPT and LSTM-based residual correction) for generative modeling of neuronal activity.

The Ethereum Price Forecasting project leverages the Time GPT Model to predict future price movements of Ethereum. By integrating advanced machine learning algorithms, specifically designed for time series data, the project aims to provide insightful and actionable predictions for traders and investors in the cryptocurrency market.