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.+DCPC+differs+from+other+formulations+of+predictive+coding%252C+as+it+respects+the+correlation+structure+of+the+generative+model+and+provably+performs+maximum-likelihood+updates+of+model+parameters%252C+all+without+sacrificing+biological+plausibility.+Empirically%252C+DCPC+achieves+better+numerical+performance+than+competing+algorithms+and+provides+accurate+inference+in+a+number+of+problems+not+previously+addressed+with+predictive+coding.+We+provide+an+open+implementation+of+DCPC+in+Pyro+on+Github.&cdnurl=https%3a%2f%2fth.bing.com%2fth%2fid%2fR.cacd7331a22a20f40358e0d383c8f6be%3frik%3d7AEjVP34oyFVaQ%26pid%3dImgRaw%26r%3d0&exph=630&expw=1200&q=Predictive+Coding+vs+Bayesian+Brain&FORM=IRPRST&ck=485D0E944C7E2BEE59AA7A7A07E89A05&selectedIndex=5&itb=0)
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