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by jiggawatts
406 days ago
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Most of the complexity is incidental to intelligence. It's mostly just the machinery of keeping the cell alive. Most everything in biology is a clumsy hack accidentally discovered via evolution, and then optimised to death over aeons. We can sidestep all that mess and extract just the core algorithm that is actually required for intelligence. |
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https://grok.com/share/bGVnYWN5_ab498084-58c4-4345-9140-07b5...
Biological Neuron: Processes information through complex, nonlinear integration of thousands of excitatory and inhibitory inputs across dendritic trees, producing spiking outputs with rich temporal patterns. It adapts dynamically via synaptic plasticity, neuromodulation, and structural changes, operating in a probabilistic, energy-efficient manner within oscillatory networks.
Artificial Neuron: Performs simple, linear summation of weighted inputs, applies a static activation function, and produces a single scalar output. It lacks temporal dynamics, local plasticity, or neuromodulation, operating deterministically with high computational cost and fixed connectivity.