New #neural dweets

function u(t) {

c.width=1920 // clear the canvas
for(i=0;i<9;i++)
x.fillRect(400+i*100+S(t)*300,400,50,200) // draw 50x200 rects

} // 122/140

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    u(t) is called 60 times per second.
    t: Elapsed time in seconds.
    S: Shorthand for Math.sin.
    C: Shorthand for Math.cos.
    T: Shorthand for Math.tan.
    R: Function that generates rgba-strings, usage ex.: R(255, 255, 255, 0.5)
    c: A 1920x1080 canvas.
    x: A 2D context for that canvas.

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Current theme challenge: #Opposites

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rodrigo.siqueira

remix of d/29331 by u/rodrigo.siqueira

function u(t) {

c.style='filter:invert()'
for(a=b=t,i=2e4;i--;b+=C(a*3)/6-a*b/6,a+=r*.8+b*S(a*3)/1-a/9)i&8&&(r=i/b&1),x.fillRect(a*870-900,b*1200+600,.1,1)

Jan 21 2024 2:12 PM UTC

}// 139/140

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Neural threads #neural #fractal

u/Joachim

#web

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rodrigo.siqueira

remix of d/28669 by u/rodrigo.siqueira

function u(t) {

c.style.filter=`invert(`
for(a=b=t,i=6e4;i--;a+=(i*t/b&1)*3-b*S(a*4)/3-a*a/4.07,b=b/1.7-C(a*3.1))x.fillRect(4e3-a*7e3+b**3*i,500-b*4e3,.1,1)

Oct 11 2023 12:58 PM UTC

}// 140/140

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Neural photomicrography #organic #neural

u/Xen

fully epic!

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rodrigo.siqueira

remix of d/28596 by u/rodrigo.siqueira

function u(t) {

c.style.filter=`sepia(`
for(a=b=t,i=2e4;i--;a+=(r=i*t/b&1)/5+b*S(a*2.1+r/4)/5,b+=C(a*4-r)*1.3-b/4.7)x.fillRect(1e4-a*6e3,3e3-b*500-300,.1,1)

Oct 3 2023 12:50 AM UTC

}// 140/140

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Santiago Ramón y Cajal drawing of the nervous system #neural #fractal

u/UEZ

#cracks

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rodrigo.siqueira

remix of d/25345 by u/rodrigo.siqueira

function u(t) {

f=(x,y,n=9)=>y<X/S(y)**2?f(x*x-y*y-.9,2*T(y)*C(y)*x+.7,n+1):S(n/9)**2
for(i=2e4;i--;x.fillRect(X=u&2047,u>>11,f(X/420-2.3,u/6e5-2),1))u=-~u

Apr 20 2022 5:16 PM UTC

}// 139/140

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Electrical synapses #neural

u/donbright

you could make a book of your dweets. coffe table book

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rodrigo.siqueira

remix of d/23595 by u/TGY

function u(t) {

c.width|=N=115
for(i=8;i--;)for(j=9;j--;x.lineWidth=3)
x.lineTo(N,i*N+N),x.lineTo(960,60+j*N+S(N*t*i)*15+1),x.lineTo(1920,i*N+N)
x.stroke()

Aug 20 2021 10:55 PM UTC

}// 139/140

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Active 3-Layer Neural Network #neuralnetwork #neural #ai

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rodrigo.siqueira

remix of d/23143 by u/rodrigo.siqueira

function u(t) {

for(a=b=i=1e4*(t<8);i--;x.fillRect(999*a,999*b,.2,1))
S(r=i*t)>0?(a=C(i/5118)):b=C(a)+(a+=S(b+S(b))*.9+C(a*2))/9,x.fillStyle=R(i/59)

Jun 21 2021 2:27 PM UTC

}// 132/140

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#Neural cell

u/tomxor

Very dendritic
u/DataMeta

quite axonesque

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tomxor

function u(t) {

c.style='filter:invert(1';for(a=b=0,i=1e4;i--;a+=.3*(r-a+b*S(a*3.14)),b+=.3*(-a*b+C(a*3.14)))i&1&&(r=i*t/b&1,x.fillRect(a*1920,b*960,.2,1))

Jan 15 2020 12:40 AM UTC

}// 139/140

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u/13thptr

great
u/rodrigo.siqueira

One of the most impressive images I`ve ever seen! Please create more like this. #neural #fractal
u/tomxor

Thanks rodrigo :) I will certainly try, although one does not create these things, but mines them from the computational universe :D I look forward to finding more
u/13thptr

becomes really different after a while
u/13thptr

#waitforit

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f8f82804

remix of d/16668 by u/joeytwiddle

function u(t) {

c.width=32;for(i=512;T[7]=i--/99;x.fillRect(i>>4,Y,1,1))for(T[l=6]=(Y=i&15)/7;l--;x.globalAlpha=T[l]=S(v))for(v=n=l;n++<7;v+=S(t*l-n)*T[n]);

Nov 18 2019 9:15 PM UTC

}// 140/140

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This #neural network stays ordered but teeters on the edge of chaos -- #dweetdream

u/Xen

nice
u/joeytwiddle

The loopbuster is being a pain. Your golfing helps reduce it!

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rodrigo.siqueira

function u(t) {

η=.1
ℵ=1/t
for(X=-3;X<3;X+=.01){
y=X**3-X*2
ℵ=ℵ-η*(ℵ**3-2*ℵ)
x.fillRect(940+X*400,-y*100+500,5,5)
}
x.fillRect(910+ℵ*400,470,60,60)
throw(ℵ)

Aug 21 2019 1:45 PM UTC

}// 140/140

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Gradient Descent (iterative) algorithm used to calculate sqrt(2). The big dots are the two roots -sqrt(2) and +sqrt(2) of equation Y=X**3-X*2. The Gradient Descent is an optimization algorithm for finding a local minimum of a function near a starting point, taking successive steps in the direction of the negative of the gradient. x[n+1]=x[n]−η(∇f)xn where η is the "Learning Rate". Gradient Descent is widely used for training Machine Learning models. #neural #ai

u/rodrigo.siqueira

Simple version that calculates sqrt(2). If you change initial "x" to -1, it will converge to -sqrt(2), that is the other root of the equation Y=X**3-X*2. Code: x = 1; learning_rate = .1; for(i=0;i<50;i++) { x = x - learning_rate * (x**3 - 2*x) } throw(x);

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rodrigo.siqueira

remix of d/14191 by u/rodrigo.siqueira

function u(t) {

f=(A,B,s,z)=>s>1&&f(X=A+S(z)*s*1.6,Y=B+s*C(z*1.2),s/2,S(z/2)*10)
for(i=1e4;i--;)f(0,0,250,i+t),x.fillRect(X+960,Y+510,.8,.8)

May 26 2019 9:40 PM UTC

}// 124/140

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Connectome (brain circuit)

u/katkip

WOOW
u/rodrigo.siqueira

#neural

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