Posterx - Networked Software Systems Laboratory

guineanhillAI and Robotics

Oct 20, 2013 (3 years and 5 months ago)

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Network Software System Lab

Department of Electrical Engineering, Technion


R

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R
andom
N
eural
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etworks for

C
ognitive
R
adio
M
odeling


A recurrent neural network model inspired by the
spiking behavior of biological neuronal networks


Neurons in the RNN interact by probabilistically
exchanging excitatory and inhibitory spiking signals


Model can be described by analytical equations, has
low complexity and has many possible uses in
engineering


In this Project we examined Random Neural
Networks possible use in Radio Cognitive Modeling


Created an Environment allowing us to model
spectral networks with variable parameters and
measure their performance


Simulations indicates high performance with very
low channel estimation error



Oz
Itzhaki

Jonathan Nafta


Supervisor: Boris
Oklander