Brain architecture being the key:
The way a single neuron processes information is never the same.
''How do neurons process information? Neurons are known to break down an incoming electrical signal into sub-units. Now, researchers at Blue Brain have discovered that dendrites, the neuron's tree-like receptors, work together—dynamically and depending on the workload—for learning. The findings further our understanding of how we think and may inspire new algorithms for artificial intelligence.
How do neurons process information? Neurons are known to break down an incoming electrical signal into sub-units. Now, researchers at Blue Brain have discovered that dendrites, the neuron's tree-like receptors, work together—dynamically and depending on the workload—for learning. The findings further our understanding of how we think and may inspire new algorithms for artificial intelligence.
In a paper published in the journal Cell Reports, researchers at EPFL's Blue Brain Project, a Swiss Brain Research Initiative, have developed a new framework to work out how a single neuron in the brain operates.
The analysis was performed using cells from the Blue Brain's virtual rodent cortex. The researchers expect other types of neurons—non-cortical or human—to operate in the same way.
Their results show that when a neuron receives input, the branches of the elaborate tree-like receptors extending from the neuron, known as dendrites, functionally work together in a way that is adjusted to the complexity of the input.
The strength of a synapse determines how strongly a neuron feels an electric signal coming from other neurons, and the act of learning changes this strength. By analyzing the "connectivity matrix" that determines how these synapses communicate with each other, the algorithm establishes when and where synapses group into independent learning units from the structural and electrical properties of dendrites. In other words, the new algorithm determines how the dendrites of neurons functionally break up into separate computing units and finds that they work together dynamically, depending on the workload, to process information.''