You cannot select more than 25 topics
Topics must start with a letter or number, can include dashes ('-') and can be up to 35 characters long.
85 lines
3.4 KiB
Matlab
85 lines
3.4 KiB
Matlab
function [eyeamp,eyeposn,vistarget,y,r]=control_eye_multitarget(vistarget,eyepaninit,W,V,interconnects,y,display,numSaccades)
|
|
%Performs eye movements to foveate a visual target.
|
|
%This is achieved in 3 steps:
|
|
% 1) calculates H given R+E (the sensory-sensory transformation)
|
|
% 2) calculates E given H calculated in (1) and R centred at zero (the sensory-motor transformation)
|
|
% 3) estimates R given H calculated in (1) and E calculated in (2)
|
|
% (the "RF remapping step - this does not contribute to the performace of the movement)
|
|
%These steps may be repeated to perform corrective saccades
|
|
nSteps=3;
|
|
|
|
if nargin<1
|
|
vistarget=[-30,40];
|
|
end
|
|
if nargin<2 || isempty(eyepaninit)
|
|
eyepaninit=0;
|
|
end
|
|
if nargin<3 || isempty(W)
|
|
%define network for performing sensory-sensory and sensory-motor mappings
|
|
[W,V,interconnects]=define_network(1);
|
|
end
|
|
if nargin<6
|
|
y=[];
|
|
end
|
|
if nargin<7 || isempty(display)
|
|
display=1;
|
|
end
|
|
figoff=0;
|
|
if nargin<8 || isempty(numSaccades)
|
|
numSaccades=2;
|
|
end
|
|
|
|
%define inputs to perform task
|
|
[angles,ranges,partitions,values,stdx,stdw,partitionLabels]=simulate_agent();
|
|
nullR=zeros(1,length(values{1,1}));
|
|
nullE=zeros(1,length(values{1,2}));
|
|
nullH=zeros(1,length(values{1,3}));
|
|
eyeposn(1)=decode(code(eyepaninit,values{1,2},stdx),values{1,2}); %eyepaninit;
|
|
for i=1:length(vistarget)
|
|
trueworldtarget(i)=simulate_agent_retina_to_world(vistarget(i),eyepaninit,0,0);
|
|
end
|
|
|
|
%present test cases to network and record results
|
|
for saccade=1:numSaccades
|
|
%step 1) calculate the head-centred representation of the visual target
|
|
%input eye position and retinal input (R+E->H)
|
|
|
|
x{1}=[code(vistarget(1),values{1,1},stdx)+0.5*code(vistarget(2),values{1,1},stdx),code(eyeposn(saccade),values{1,2},stdx),nullH]';
|
|
[y,e,r]=dim_activation_hierarchical(W,x,V,interconnects,y);
|
|
if display,
|
|
figured(figoff+(saccade-1)*nSteps+1),clf,plot_network(x,r,y,partitions,values,partitionLabels);
|
|
if saccade==1, print -dpdf control_eye_multitarget1.pdf; end
|
|
end
|
|
headtarget=-30 %decode(r{1}(partitions{1,3})',values{1,3});
|
|
headrep=r{1}(partitions{1,3})';
|
|
|
|
%step 2) calculate the eye position required to foveate the target
|
|
%input the head-centred position and foveal retinal input (R+H->E)
|
|
x{1}=[code(0,values{1,1},stdx),nullE,code(headtarget,values{1,3},stdx)]';
|
|
[y,e,r]=dim_activation_hierarchical(W,x,V,interconnects,[]);%<-reset network activity
|
|
if display,
|
|
figured(figoff+(saccade-1)*nSteps+2),clf,plot_network(x,r,y,partitions,values,partitionLabels);
|
|
if saccade==1, print -dpdf control_eye_multitarget2.pdf; end
|
|
end
|
|
eyetarget=decode(r{1}(partitions{1,2})',values{1,2});
|
|
|
|
%step 3) remapping, calculate the visual input expected after upcoming saccade
|
|
%input head-centred representation and planned eye position (E+H->R)
|
|
x{1}=[nullR,code(eyetarget,values{1,2},stdx),headrep]';
|
|
[y,e,r]=dim_activation_hierarchical(W,x,V,interconnects,y);
|
|
if display,
|
|
figured(figoff+(saccade-1)*nSteps+3),clf,plot_network(x,r,y,partitions,values,partitionLabels);
|
|
if saccade==1, print -dpdf control_eye_multitarget3.pdf; end
|
|
end
|
|
|
|
%perform movement (update visual input after saccade)
|
|
for i=1:length(vistarget)
|
|
vistarget(i)=simulate_agent_world_to_retina(trueworldtarget(i),eyetarget,0,0);
|
|
end
|
|
|
|
%record movements made over time
|
|
eyeposn(saccade+1)=eyetarget;
|
|
end
|
|
|
|
[eyeamp,ind]=max(abs(eyeposn-eyeposn(1))); %see McCluskey Cullen p.2979 (Freedman Sparks use eye amp, don't seem to define it!)
|