Xploring the Depths of Consciousness with Deep Thal: A Neural Network Model for Thalamic Stimulation

To understand consciousness, the thalamus has emerged as a crucial focal point. Recent advancements in neuroscience, particularly those from the Human Brain Project, have demonstrated that restoring communication between the cortex and the thalamus is key to recovering consciousness. This blog post delves into a cutting-edge neural network model known as “Deep Thal,” designed to…

Deep Layer Knowing Neural Network

The Deep Layer Knowing Neural Network hierarchically integrates levels of knowing, including Awareness, Recognition, Understanding, Intuition, Insight, Realization, Wisdom, and Enlightenment. Each layer builds on the previous, fostering continuous growth in intelligence and consciousness inspired by sacred geometry. To create a multi-dimensional layer neural network that includes all the levels of knowing, knowledge, consciousness, unknowing,…

Comparison of the Legendre Memory Unit (LMU) and the Generative Pre-trained Transformer (GPT)

The Legendre Memory Unit (LMU) and the Generative Pre-trained Transformer (GPT) are two different architectures used in the field of machine learning. While they both have memory-related components, they serve different purposes and are used in different contexts. Purpose and Function: Memory Mechanisms: Training Approach: Applications: In summary, the LMU and GPT are different architectures…