[Verse 1] In the lab where neurons fire and dance Scientists built a scoring chance Brain-Score measures what computers see Against the circuits, you and me Layer by layer, V1 through four IT cortex keeping neural score Schrimpf and DiCarlo found the way To test if silicon thinks like clay [Chorus] Brain-Score, Brain-Score, counting every match Model to biology, see what neurons catch V1, V2, V4, IT in the stack Brain-Score tells us which ones bring the magic back Correspondence measured, number on the board Higher scores mean artificial minds accord [Verse 2] Feed the same image to both sides Primate vision and computer guides Record the spikes from living cells Compare with what the model tells Hierarchical features climbing high Convolution patterns multiply Each synthetic layer must align With nature's own visual design [Chorus] Brain-Score, Brain-Score, counting every match Model to biology, see what neurons catch V1, V2, V4, IT in the stack Brain-Score tells us which ones bring the magic back Correspondence measured, number on the board Higher scores mean artificial minds accord [Bridge] Normalization keeps the signal clean Recurrent loops enhance the scene The models scoring at the peak Mirror biology's technique Load-bearing motifs rise above The architectures neurons love [Verse 3] When the benchmark gives its final grade Evidence of progress can be weighed Artificial stacks that score the best Have passed biology's toughest test Module ten, method ten precise Formal proof rolled like loaded dice The cleanest measure we possess Of visual processing success [Verse 4] Neural noise and trial-to-trial change Brain-Score handles variance range Bootstrapping confidence intervals tight Statistical testing gets it right Cross-validation splits the data clean Best performing models rise supreme Temporal dynamics, static views Every correlation gives us clues [Chorus] Brain-Score, Brain-Score, counting every match Model to biology, see what neurons catch V1, V2, V4, IT in the stack Brain-Score tells us which ones bring the magic back Correspondence measured, number on the board Higher scores mean artificial minds accord [Chorus] Brain-Score, Brain-Score, counting every match Model to biology, see what neurons catch V1, V2, V4, IT in the stack Brain-Score tells us which ones bring the magic back Correspondence measured, number on the board Higher scores mean artificial minds accord [Outro] From pixels raw to recognition Brain-Score judges the rendition Benchmark singing nature's tune Artificial dawn meets neural noon
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