Why Biology Can ... and ... Silicon Can't? The brain and the computer
Valeriu Beiu
United Arab Emirates University

Thu., July 11, 2013, 1 p.m.


This presentation aims to follow on the steps of von Neumann's prescient The Computer and the Brain (Yale University Press, 1958), and to clarify common misconceptions about the Brain. The tale will be reversed, i.e., we shall start from the Brain, and rely heavily on the latest results, for trying to foresee the future of bio-inspired computing. We will shed some light on the elementary nano-devices of the Brain, and also on how we could decipher its intricate architectures for information processing. These will require covering quite some ground, parts of which are still being explored and not well understood, hence implicitly charting directions for research -- both for the computing as well as for the VLSI/nanotechnology communities.
We will start from the gated ion channels, and go on to argue about the different ways they "communicate." Revealing the statistical (collective) behaviors of arrays of gated ion channels for communications will follow. For computations, we shall make the case for interweaving arrays of various gated ion channels. In support of these we will detail preliminary and kind of unexpected results on the extremely high reliability of such multiarrays. Touching upon the ultra-low (but reasonably constant) power consumption of the Brain, we will stress the crucial role the ion pumps are playing here. Synapses (the gaps between neurons) and glial cells (e.g., astrocytes) will be briefly mentioned, before delving into the higher levels of the Brain, trying to grasp their optimal hierarchical organizations -- emphasizing columnar structures as large fan-in cyclic circuits (i.e., with feedback).
Finally, from the information conveyed we will draw parallels between the Brain and our present-day computers, which will expose the reasons why our current approaches are falling short of doing what the Brain does, and will conclude with a call-to-arms for the computing, nano, and VLSI communities.



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Why Biology Can ... and ... Silicon Can't? The brain and the computer
Valeriu Beiu
United Arab Emirates University

Thu., July 11, 2013, 1 p.m.


This presentation aims to follow on the steps of von Neumann's prescient The Computer and the Brain (Yale University Press, 1958), and to clarify common misconceptions about the Brain. The tale will be reversed, i.e., we shall start from the Brain, and rely heavily on the latest results, for trying to foresee the future of bio-inspired computing. We will shed some light on the elementary nano-devices of the Brain, and also on how we could decipher its intricate architectures for information processing. These will require covering quite some ground, parts of which are still being explored and not well understood, hence implicitly charting directions for research -- both for the computing as well as for the VLSI/nanotechnology communities.
We will start from the gated ion channels, and go on to argue about the different ways they "communicate." Revealing the statistical (collective) behaviors of arrays of gated ion channels for communications will follow. For computations, we shall make the case for interweaving arrays of various gated ion channels. In support of these we will detail preliminary and kind of unexpected results on the extremely high reliability of such multiarrays. Touching upon the ultra-low (but reasonably constant) power consumption of the Brain, we will stress the crucial role the ion pumps are playing here. Synapses (the gaps between neurons) and glial cells (e.g., astrocytes) will be briefly mentioned, before delving into the higher levels of the Brain, trying to grasp their optimal hierarchical organizations -- emphasizing columnar structures as large fan-in cyclic circuits (i.e., with feedback).
Finally, from the information conveyed we will draw parallels between the Brain and our present-day computers, which will expose the reasons why our current approaches are falling short of doing what the Brain does, and will conclude with a call-to-arms for the computing, nano, and VLSI communities.



Share