TY - JOUR
T1 - Parallel computation in spiking neural networks
AU - Richardson, Dan S.
AU - Carnell, Andrew
N1 - ID number: ISI:000250881500004
PY - 2007
Y1 - 2007
N2 - Numerical quantities can be represented as phase differences between equiperiodic oscillating subsystems in a spiking neural net. It is then possible to represent integer variables, and the increment and decrement operations, X := X + 1, X := X - 1. It is possible to represent the if construction, the while construction, and some other programming language constructions, including variants of the Seq, Par, and Alt constructors, which were used in Occam. We give a general purpose parallel programming language with integer variables which can be systematically implemented in spiking neural networks. Addition, subtraction and multiplication are done, albeit inefficiently, as examples. (c) 2007 Elsevier B.V. All rights reserved.
AB - Numerical quantities can be represented as phase differences between equiperiodic oscillating subsystems in a spiking neural net. It is then possible to represent integer variables, and the increment and decrement operations, X := X + 1, X := X - 1. It is possible to represent the if construction, the while construction, and some other programming language constructions, including variants of the Seq, Par, and Alt constructors, which were used in Occam. We give a general purpose parallel programming language with integer variables which can be systematically implemented in spiking neural networks. Addition, subtraction and multiplication are done, albeit inefficiently, as examples. (c) 2007 Elsevier B.V. All rights reserved.
UR - http://dx.doi.org/10.1016/j.tcs.2007.06.017
U2 - 10.1016/j.tcs.2007.06.017
DO - 10.1016/j.tcs.2007.06.017
M3 - Article
SN - 0304-3975
VL - 386
SP - 57
EP - 72
JO - Theoretical Computer Science
JF - Theoretical Computer Science
IS - 1-2
ER -