Human brain can store information like WWW236 views
A recent research study has revealed that our brain has a great memory capability and can store a petabyte of information, as much as the entire Web.
A research study was conducted to know that how the brain is so energy efficient and could help engineers build computers that are amazingly powerful but also conserve energy.
Terry Sejnowski from Salk Institute for Biological Studies in the US, told that “Our new measurements of the brain’s memory capacity increase conservative estimates by a factor of 10 to at least a petabyte, in the same ballpark as the World Wide Web,”
Researchers disclosed that human memories and thoughts are the consequences of patterns of electrical and chemical activity in the brain. A main segment of the activity occurs when branches of neurons, similar to electrical wire, act together at particular junctions, identified as synapses.
Kristen Harris from the University of Texas cited that “When we first reconstructed every dendrite, axon, glial process, and synapse from a volume of hippocampus the size of a single red blood cell, we were somewhat bewildered by the complexity and diversity amongst the synapses,”
Synapses are yet unrevealed while their dysfunction can be a reason for a series of neurological diseases.
Bigger synapses – with much surface area and vesicles of neurotransmitters – are stronger, creating them much probable to stimulate their nearby neurons than medium or small synapses.
The investigators, whereas building a 3D rebuilding of rat hippocampus tissue (the memory centre of the brain), observed that in a few cases, one axon from one neuron structured two synapses extended to a single dendrite of a second neuron, suggesting that the initial neuron appeared to be transferring a duplicate message to the getting neuron.
Researchers employed superior microscopy and computational algorithms they had grown to image rat brains and rebuild the connectivity, forms, volumes and surface area of the brain tissue down to a nanomolecular level.
The researchers revealed that the synapses were almost alike, on regular merely almost eight per cent diverse in size.
For the reason that the memory capability of neurons is dependent upon synapse size, this eight percent dissimilarity became a key number the research group could then plug into their algorithmic models of the brain to gauge how much information could potentially be stored in synaptic associations.
Tom Bartol from Salk Institute told that “Our data suggests there are 10 times more discrete sizes of synapses than previously thought,”