[Verse 1] Scientists built machines that see like we do Deep networks trained on objects, layer by layer grew They tested against neurons in macaque brains Found something shocking in the data chains V4 and IT cortex responses matched the code Better than any hand-built model ever showed [Chorus] Brain-Score is the benchmark, measuring how well Your model's representations can predict and tell What neurons fire when images appear Sufficiency's the game, but causation's never clear You can match the data, match behavior too But that don't mean the brain works just like you [Verse 2] Yamins and DiCarlo cracked the mystery wide Convolutional layers mirror what's inside From V1 through V2, up to higher ground Each network layer maps where brain responses are found CORnet added feedback loops to match the time When signals flow backward, keeping perfect rhyme [Chorus] Brain-Score is the benchmark, measuring how well Your model's representations can predict and tell What neurons fire when images appear Sufficiency's the game, but causation's never clear You can match the data, match behavior too But that don't mean the brain works just like you [Bridge] Evidence in its own right, these models stake their claim Computational theories playing the prediction game What it proves is powerful - your theory could be right What it cannot prove is mechanism's inner sight Necessary but not sufficient for the mechanistic case Multiple roads can lead to the same neural place [Verse 3] From pixels to perception, hierarchies unfold Edge detectors, curves, and shapes, the story's being told Object recognition emerges from the stack But implementation details, well, that knowledge we still lack The transformation's captured, the function's crystal clear But how the wetware does it remains a frontier [Verse 4] ResNet, VGG, and AlexNet compete Each architecture striving to make predictions complete ImageNet pretrained then fitted to the brain Silicon circuits learning biological refrain Yet questions linger in the depths of neural space Do brains compute like GPUs in this computational race? [Final Chorus] Brain-Score is the benchmark, measuring how well Your model's representations can predict and tell What neurons fire when images appear Sufficiency's the game, but causation's never clear You can match the data, match behavior too But the brain's true secrets are still breaking through
← Two-photon and calcium imaging (correlation, many cells, spatial layout) | How the methods combine into proof →