Lateral Information Processing by Spiking Neurons: A Theoretical Model of the Neural Correlate of Consciousness

Algorithm 1

Algorithm which updates the state variables of neuron from one time step to the next.

(1) // output decay
(2) // activation decay
(3) // sum over all inputs
(4) // average activation across open gap
(5) // junctions (reconfigurable resistive grid)
(6) is connected to
(7) non-refracting neuron via open gap junction;
(8) is then set to average
(9) // limit activation
(10) // reduce threshold based on size of sub-network
(11)
(12)// neuron fires if above firing threshold
(13) // activation is reduced to 0
(14) // output rises to 1
(15) // some activation is distributed to conn. neurons
(16) if ( is connected to via open gap junction)
(17)
(18) }
(19) // temporal averaging of own output
(20)
(21) // spatial averaging of temporal average
(22)
(23)
(24) // check if temporal average is above sync-threshold
(25)
(26) open gap junctions
(27) else
(28) close gap junctions