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Microchip Mimics a Brain With 200,000 Neurons
Al writes "European researchers have taken a step towards replicating the functioning of the brain in silicon, creating new custom chip with the equivalent of 200,000 neurons linked up by 50 million synaptic connections. The aim of the Fast Analog Computing with Emergent Transient States (FACETS) project is to better understand how to construct massively parallel computer systems modeled on a biological brain. Unlike IBM's Blue Brain project, which involves modeling a brain in software, this approach makes it much easier to create a truly parallel computing system. The set-up also features a distributed algorithm that introduces an element of plasticity, allowing the circuit to learn and adapt. The researchers plan to connect thousands of chips to create a circuit with a billion neurons and 10^13 synapses (about a tenth of the complexity of the human brain)."
It's a nitpicky point, of course, but the whole point of many of the Asimov robot books was how poorly those laws held up in reality. I, for one, wouldn't trust any 3-laws robot for anything.
Just another "DOJ fascist authoritarian totalitarian bootlicker" -- Zeio
A bull is a male cow WITH TESTICLES.
A steer is a male cow WITHOUT TESTICLES.
Thus, you'd be eating steer in the above scenario.
(-1, Raw and Uncut is the only way to read)
I am one of the researchers involved in this project. You are right, of course, that we are only simulating 0.1% or less of the complexity of the brain, so even if we simulate 100% of the number of neurons in the brain, we are still orders of magnitude of complexity away from reproducing a brain, let alone understanding it.
However, we have to start somewhere and, in the words of Henry Markram (Blue Brain Project) "If we don't start now, when do we start?". The neuron models in the chip ignore spatial processing in the dendrites, but they do reproduce the variety of firing patterns found in real cortical neurons. The models of the chemical synapses incorporate have both short-term (adaptation, etc) and long-term (learning) plasticity, based on experimental data. Neuromodulation (by dopamine, etc) could be simulated by modifying synaptic and neuronal parameters, using the digital logic on the chips, although we haven't really thought about this yet.
The FACETS project involves experimental neurobiologists, theoreticians, modellers, and solid-state physicists (who are developing the chips). We are very aware of the necessary simplifications we are making, but we are also confident that we are making progress both in understanding brain function and in developing new approaches to highly-parallel, fault-tolerant computing.