Image: Representational — Brain as an ML Model
🧩 What Are the Inputs to a Brain?
Let us assume our brain is a machine learning model. Similar to how machine learning is trained on data points, we use sensory organs to pass inputs to the brain.
If you're interested in learning how to calm down using sensory organs, I have covered it in a blog related to IBS under the section "Techniques to Stop Overthinking":
👉 Read more here
đź“š Experience as Training Data
Similar to the batch data used to train a machine learning model, we use:
- Our own experiences
- Other people's experiences
- Things we've heard from someone
But the best way our brain is trained from childhood is through stories.
🛏️ A Childhood Memory
For example, I remember my time during childhood when I used to listen to bedtime stories from my mom. After narrating every story, at the end she would ask me, "What is the moral of the story?"
Frankly speaking, I always used to listen to the story because my mom would narrate it so beautifully, and I would imagine the story in my head. It always used to sound funny to me.
I can still remember it to this day—as if it’s happening right now, while I write this blog.
I call these memories "storage", and I feel they are elastic, as once described by Dr. A.P.J. Abdul Kalam in his book:
👉 My Journey: Transforming Dreams into Actions
🧠The Brain’s Elastic Storage
Once we collect memories (storage), after a period of time, we naturally move on. Our subconscious mind often pushes uncomfortable memories to the back. But the more we ask “why?”, the more we relive those memories again and again.
Sometimes, there might not be clear answers—so we try switching perspectives.
đź‘ź Switching Perspectives
The most common perspective is trying to be in the other person’s shoes. The moment we start imagining ourselves in someone else’s shoes, most of the time we tend to get the answers.
When you feel like you’ve got an answer, you try to check if it holds true for roughly 7 out of 10 situations.
âś… Testing the Model
This phase, I call "testing the model against the data"—the old data that you already have.
You give it some time. If you don’t have enough matching scenarios to observe whether your thinking is true or not, this becomes the phase I call:
🚀 Ready for the Real World
Once you're confident in the model that you've built in your brain, I call this phase:
Usually, I’m most excited during this stage—to apply the learnings in the real world.
đź’¬ Would Love to Hear From You!
Would love to know your thoughts.
What do you think?
Thank you — SaiRiyaTales