RESEARCH | CONSCIOUSNESS
Our aim is to understand and emulate the various functional components of the human brain. To achieve this, it is clear that the current architecture of artificial neural networks falls short of capturing the true complexity of biological neural structures.
The ultimate objective of this research is to emulate consciousness—not as an end in itself, but as a tool to help humanity tackle a wide range of challenges and mysteries in the life sciences.
For instance, current neural networks do not accurately reflect the biological processes of the human brain. One of the initial steps in our research is to mathematically model the physiological processes within the human body that influence neuronal behavior and transformation. These processes directly impact how neurons respond to inputs and generate outputs.
Our approach involves emulating enzymes, proteins, and other essential biological elements. Traditional methods, such as adjusting biases, are insufficient to replicate the way humans truly learn.
We aim to tackle, step by step and through rigorous mathematical modeling, some of the brain’s enduring mysteries that remain unsolved today.
How to?
- Emulating the real functionality of the human body.
- Transforming current artificial neural networks into architectures that are truly bio-inspired.
- DNA: we contain the information to create biologically grounded consciousness. Creating the perfect environment where DNA can evolve and express itself.
- Exploring quantum relationships that may underlie cognitive processes and biological organization.
- Mathematically modeling the influence of biochemical agents like enzymes and proteins on neuronal dynamics.
- Incorporating cellular processes such as synaptic plasticity, neurogenesis, and energy regulation into computational frameworks.
- Building dynamic systems that adapt not only through data but through simulated internal biological states.
- Understanding how emotion, memory, and perception emerge from molecular and structural patterns.