Construct · 3 fields · 3 citations
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In economics, capital accumulation is the buildup of a society's stock of productive capital through saving and investment, and it is the central engine of output growth in classical growth models. Solow's 1956 A contribution to the theory of economic growth showed how accumulation raises output per worker but runs into diminishing returns, so that sustained long-run growth must come from technical progress rather than accumulation alone. The referent is the growth of a capital stock over time, measured in investment and capital per worker, unrelated to a neuron's evidence tally or a topological limit point beyond the shared idea of building up.[1]
In mathematical analysis, an accumulation point (or limit point) of a set is a point every neighbourhood of which contains infinitely many points of the set, so the set 'piles up' arbitrarily close to it even if the point itself is not a member. Rudin's 1976 Principles of Mathematical Analysis develops the notion as a foundation for limits, closure, and compactness. The referent is a point of infinite nearby crowding in a topological space, a static structural property with nothing in common with capital or neural evidence beyond the word for piling up.[2]
In decision neuroscience, evidence accumulation is the process by which the brain adds up noisy sensory evidence over time in favour of competing choices and commits once the running total reaches a decision bound, trading speed against accuracy. Gold and Shadlen's 2007 The neural basis of decision making reviews how the firing of parietal and prefrontal neurons ramps up in step with accumulating evidence until a threshold triggers the choice. The referent is a neural integration of evidence to a bound, measured by the rate of the ramp and the time to decide, a different construct from capital buildup or a limit point.[3]
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