The Orthogonal Bet Corey Maley on the philosophy of science and computation
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Mar 26, 2026 Corey Maley, associate professor of philosophy at Purdue who studies philosophy of science and computation. He unpacks what analog computation really is and why neurons behave more like analog devices than digital ones. He contrasts analog and digital histories, explores implications for AI and consciousness, and highlights open philosophical questions at the intersection of computation and neuroscience.
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Analog Computation Is Physical Magnitude Representation
- Analog computation uses physical magnitudes as direct representations rather than abstracting the medium away.
- Examples include clock hands, hourglasses, vinyl grooves and voltages that map magnitude-to-magnitude rather than symbol encoding.
Vannevar Bush Integrators Drove Early Scientific Computing
- Early 20th century analog machines like Vannevar Bush's integrators solved differential equations mechanically and electrically.
- These machines were essential for engineering tasks before digital computers were fast, cheap, and accurate enough to replace them.
Neural Computation Often Matches Analog Models
- Neuroscience claims that brains compute can be clearer if framed as analog computation rather than Turing-style digital computation.
- Neurons appear to manipulate voltages and integrate signals directly, matching analog representation models.