Being Cellular - From Optical-Symbolic Learning to Electrical Pattern Learning to Learning Chemically by Diffusion & Osmosis

Lessons in Intelligence Environments from Cellular-Biological  MorphoSpaces

from Google AI:

"Learning by osmosis" refers to an informal, passive absorption of knowledge, habits, or culture. In science and biology, chemical and electrical refer to the fundamental driving forces behind cellular transport. 

Chemical forces rely on concentration gradients (particles moving from high to low). Electrical forces rely on membrane potentials (charged particles moving toward opposite charges). Together, they form an electrochemical gradient. 

Chemical vs. Electrical in Cellular Transport

• Chemical Gradient: Driven by a difference in the amount of a substance. Molecules naturally diffuse from areas of high concentration to areas of low concentration to achieve balance. 
• Electrical Gradient: Driven by a difference in charge. Because cell interiors are typically negatively charged, positive ions (Na+, K+) are naturally attracted into the cell. 
• Osmosis (Special Case): While diffusion moves any particle, osmosis refers exclusively to the movement of water (solvent) across a semipermeable barrier. Water moves toward the area with a higher solute concentration to equalize the concentrations on both sides. 

Chemical vs. Electrical in the Brain (Synapses)

In neuroscience, these concepts describe how neurons communicate: 

• Chemical Synapses: Information is transferred between cells via the release of neurotransmitters (chemicals). This is the most common form of synaptic communication in the brain. 
• Electrical Synapses: Cells are physically connected by gap junctions, allowing an electrical current (ions) to pass directly from one neuron to the next without a chemical intermediary. 

"Learning by Osmosis" in Cognitive Psychology

While biological osmosis involves the physical movement of molecules across a membrane (or Markov Blanket), the phrase is used metaphorically in psychology to describe absorbing knowledge: 

• Mechanism: It involves picking up nuances, office culture, or social behaviors by simply being immersed in a specific environment or observing peers. 
• Real-World Context: Learning a language through native immersion or picking up technical skills by sitting near experts are classic examples of this.

 from Google AI:

Morphospace is a mathematical, multidimensional space where biological forms (organisms, fossils, or organs) are plotted based on their physical and geometric traits. Each axis represents a specific variable (e.g., length, coiling rate, or principal components), mapping the theoretical or actual boundaries of what an organism can look like.

Why Morphospace Matters

• Mapping Evolutionary Limits: It allows scientists to visualize not just the lifeforms that actually exist, but all theoretically possible forms, helping reveal if evolution is constrained or random.
• Measuring Disparity: It quantifies the structural variety within an ecosystem, helping evolutionary biologists study mass extinctions by seeing which areas of the "space" were wiped out.
• Understanding Development: It links genetics and biomechanics to physical shapes, such as predicting all the possible shapes a Grapevine Leaf or an early animal embryo can take.

Types of Morphospaces

• Theoretical (a priori): Created using geometric or developmental equations to generate all possible shapes regardless of whether they exist (e.g., David Raup’s famous 1966 model for coiled snail shells).
• Empirical: Built by measuring real specimens and using statistical methods (like Principal Component Analysis) to chart the actual physical diversity of a group of organisms.