Comment Sounds good but (Score 1) 193
The human brain once you really start to research it is so far beyond our bare bones concepts of systems architecture. One might look at it's complexity as a continuous, non-stop R&D process that has emerged over hundreds of millions of years, but unlike human based R&D projects it is fully capable of trying any and all permutations at once and nips in the bud (through survival) any failed experiments or changes.
To put in actual English, which is insufficient for describing the vast complexity of the human brain, the human brain is a massive parallel processing system with dynamic, inter-changing connections, is capable of self-repair and cross wiring, combines both memory and processing into a single system, and while the brain is generally a centralized system of neurological operation, quite a few of it's functions are distributed in highly specialized systems throughout the entire body.
But most importantly, all of our computer logic is built on a fundamental building block of the silicon transistor, which has an "on" and "off" state, 1s and 0s. Thus it's basic computing function consists of 2 states. A neuron on the other hand is an analog processor that can have up 10,000 concurrent variables operating at once. At any given millisecond, every neuron you have is receiving several thousand inputs simultaneously. When computers store information in bits, neurons store by adjusting the connection strength of individual synapses. Thus while a transistor stores a 1 or 0 and can be connected to 2 to 3 other transistors each storing ones or zeros creating data, a single neuron across it's 10,000 connections can have up to 26 distinct synaptic "weights" or states of being. Neurons integrate chemical gradients, electrical pulses, and physical structural changes that they can make on their own. In essence a single transistor can store 1 bit of information, whereas a single neuron can store roughly 4.5 bits per synapse x 10,000 synapses per neuron, and it uses that storage as processing as well.
I don't think it's possible to mimic the human brain with our foundational concept of silicon transistor architecture. People have tried this on neuromorphic chips and while you can kind-of manage it, the most we've found with these experimental chips is just how little we understand about how it works.