Drift-diffusion model (DDM): dx = v·dt + dW_t; absorbing barriers ±a/2; ⟨T⟩=(a/2v)·tanh(av/2)

Layer 3 — Biologyin the cognitive-neuroscience subtree

Drift-diffusion model (DDM) — the canonical sequential-sampling framework for two-alternative forced-choice (2AFC) decision making in cognitive neuroscience. Physical setup: an accumulator variable x_t evolves as a Wiener process with…

Related concepts

Brownian motion (Wiener process)
DDM: ⟨T⟩=(a/2v)·tanh(av/2); P_upper=1/(1+e^{−av}); ⟨T⟩|_{v→0}=a²/4; P|_{v=0}=1/2

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