Musings on Discrete Neurons, Cycles, and a Pulley I Can’t Pull Yet
Arggggh!
I have to order tools to pull that rear pulley off the mower. So… it’s going to be a couple of days.
A Turn Toward Python
About Python: oh my. When I took a class on C, I told myself I’d never use an interpreted language again. I had come from the land of BASIC, so C felt like a revelation. But here I am, standing at the edge of a new paradigm—Python.
I can see now that I’ll have to learn it. And apparently, there’s a thing called object-oriented Python? Never heard of it before this journey.
Neural Nets and the Discrete Brain
I haven’t worked with neural networks directly, but I’ve read about them and had some long, wandering chats on the subject.
So here’s a question, asked a bit blindly:
Is a neuron typically just an object with a float value that encodes connectivity?
If that’s true, then let me pose an alternative vision:
Suppose we go discrete.
Imagine a neuron is a binary segment (bseg)—length ranging from 2 bits to n bits. Length 1 is a bit dull: 1 → 1
, 0 → 0
—simple identities. But now imagine the neuron is 4 bits long. That gives us:
- 8 elements per cycle
- 2 distinct 8-element cycles for a given parity reference (e.g.,
b0
)
- A complete rotation space of binary behavior
And here they are:
Binary Representation of Two Cycles
Cycle 1: ( 7 12 5 15 8 3 10 0 )
Decimal |
Binary (4-bit) |
7 |
0111 |
12 |
1100 |
5 |
0101 |
15 |
1111 |
8 |
1000 |
3 |
0011 |
10 |
1010 |
0 |
0000 |
Combined Binary String:
01111100010111111000001110100000
Cycle 2: ( 9 13 11 14 6 2 4 1 )
Decimal |
Binary (4-bit) |
9 |
1001 |
13 |
1101 |
11 |
1011 |
14 |
1110 |
6 |
0110 |
2 |
0010 |
4 |
0100 |
1 |
0001 |
Combined Binary String:
10011101101111100110001001000001
Discrete Neurons: A Thought, A Cycle
Let’s imagine each of these 4-bit structures as a neuron, cycling through its 8 internal states. Each one has directionality—clockwise or counterclockwise. We can assign meaning to these rotations, state transitions, or interactions.
So what could we build with such a system?
What if the position of the neuron in its cycle is its “state,” and interactions are mathematical—deterministic, symbolic, and fully discrete?
A neuron that spins in place, but in motion across a symbolic landscape.
I welcome feedback on this concept of a discrete neuron. Not a float, but a fixed-length bit segment with a structured cycle—like an information gyroscope. Multiply it by a billion, entangle them, simulate interaction…
Now that’s the stuff of my daydreams.
It helps me fall asleep with hope.
A final thought:
It takes a village to build real AGI. Maybe a garden of binary neurons is a good place to start.