Temporal Pooling inspired by cortical layers 4 & 2/3
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class layer4 { | |
constructor(){ | |
this.distal = [ | |
// X,A,B,C,D,Y | |
[0,0,0,0,0,0], // X | |
[0,0,0,0,0,0], // A | |
[1,1,0,0,0,0], // B | |
[0,0,1,0,0,0], // C | |
[0,0,0,1,0,0], // D | |
[0,0,0,1,0,0] // Y | |
] | |
this.apical = [ | |
// N,K | |
[0,1], // X | |
[1,0], // A | |
[1,1], // B | |
[1,1], // C | |
[1,0], // D | |
[0,1] // Y | |
] | |
} | |
compute(l4,l3){ | |
var apical = this.apical, distal = this.distal | |
// sum up all inputs by their weights | |
var sum = new Array(distal.length).fill(0) | |
for(var i = 0; i < l4.length; i++) | |
for(var j = 0; j < distal[i].length; j++) | |
for(var k = 0; k < l3.length; k++) | |
sum[i] += l4[j] * distal[i][j] * l3[k] * apical[i][k] | |
// binary output with only max equal to 1 | |
var y = new Array(distal.length).fill(0) | |
y[sum.indexOf(Math.max(...sum))] = 1 | |
return y | |
} | |
} | |
class layer3 { | |
constructor(){ | |
this.proximal = [ | |
// X,A,B,C,D,Y | |
[0,4,3,2,1,0], // N | |
[4,0,3,2,0,1] // K | |
] | |
} | |
compute(l4,l3){ | |
var proximal = this.proximal | |
var y = new Array(proximal.length).fill(0) | |
for(var i = 0; i < proximal.length; i++) | |
for(var j = 0; j < proximal[i].length; j++) | |
y[i] += (l3[i] * (10 / proximal[i].length)) + (l4[j] * proximal[i][j]) | |
return y.map(n => parseInt(n)) | |
} | |
} | |
// Main | |
function run(fom,tp){ | |
console.log('fom: ',JSON.stringify(fom)) | |
for(var i = 0; i < 3; i++){ | |
tp = l3.compute(fom,tp) | |
fom = l4.compute(fom,tp) | |
console.log('tp: ',JSON.stringify(tp)) | |
console.log('fom: ',JSON.stringify(fom)) | |
} | |
} | |
var l3 = new layer3() | |
var l4 = new layer4() | |
console.log('ABCD') | |
run([0,1,0,0,0,0],[0,0]) | |
console.log('XBCY') | |
run([1,0,0,0,0,0],[0,0]) |
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