ELFT HÍRADÓ

[StatFizSzeminar <statfiz AT glu.elte.hu>]

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                    ELTE TTK Fizikai Intézet
                STATISZTIKUS FIZIKAI SZEMINÁRIUM


                       2014. október 8.
                        szerda, 11 óra
                        
                        
                        László B. Kish
                        
                 Texas A&M University, USA
                 
             "Noise-based logic and the brain"
             
Neural spikes in the brain form stochastic sequences, i.e., 
belong to the class of pulse noises. This stochasticity is a 
counterintuitive feature because extracting information - 
such as the commonly supposed neural information of mean 
spike frequency - requires long times for reasonably low 
error probability. The mystery could be solved by noise-based 
logic, which uses a system of uncorrelated stochastic 
processes and their superposition to represent the logic 
state in a deterministic way. There randomness has an 
important function and allows large speed enhancements for 
special-purpose tasks, and the same mechanism is at work for 
the brain logic version of this concept. As much as time 
allows, we briefly discuss various questions such as (i) What 
does practical determinism mean? (ii) Is noise-based logic a 
Turing machine? (iii) Is there hope to beat (the dreams of) 
quantum computation by a classical physical noise-based 
processor, and what are the minimum hardware requirements for 
that? Finally, (iv) we address the problem of physical random 
number generators, which are essential here, and show that 
the common belief that quantum number generators are superior 
to classical (thermal) noise-based generators is nothing but 
a myth.


     1117, Budapest, Pázmány P. sétány 1/A, Északi tömb 2.54
                honlap: http://glu.elte.hu/~statfiz

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