A spiking model of cortical broadcast and competition (Shanahan 2008)

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"This paper presents a computer model of cortical broadcast and competition based on spiking neurons and inspired by the hypothesis of a global neuronal workspace underlying conscious information processing in the human brain. In the model, the hypothesised workspace is realised by a collection of recurrently interconnected regions capable of sustaining and disseminating a reverberating spatial pattern of activation. ..."
1 . Shanahan M (2008) A spiking neuron model of cortical broadcast and competition. Conscious Cogn 17:288-303 [PubMed]
Model Information (Click on a link to find other models with that property)
Model Type: Realistic Network; Neuron or other electrically excitable cell;
Brain Region(s)/Organism: Neocortex;
Cell Type(s):
Gap Junctions:
Simulation Environment: MATLAB;
Model Concept(s): Temporal Pattern Generation; Spatio-temporal Activity Patterns; Simplified Models; Working memory;
Implementer(s): Shanahan, Murray [m.shanahan at imperial.ac.uk];
function plot_ws_firings(layer,i,tmax)
% Produces a raster plot of the firings in layer{i}
% Maps four quadrants of 16 by 16 array into a linear sequence of
% 256 neurons. Quadrants appear in the order NW, NE, SW, SE
firings = layer{i}.firings;

C1 = reshape(1:256,16,16);
C2 = zeros(16,16);
C2(1:64) = C1(9:16,1:8); % NW
C2(65:128) = C1(9:16,9:16); % NE
C2(129:192) = C1(1:8,1:8); % SW
C2(193:256) = C1(1:8,9:16); % SE
% Invert index
for k = 1:256
   C1(C2(k)) = k;
% Map to new neuron numbers
for k = 1:length(firings)
   firings(k,2) = C1(firings(k,2));
% Display graph
xlabel('Time (ms)','FontSize',14);
ylabel('Neuron number','FontSize',14);
axis([1 tmax 1 256]);
grid on;
set(gca,'YTick',[1 64 128 192 256],'FontSize',12);
title(['Firings in area ',layer{i}.name],'FontSize',14);

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