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ConsciousnessLearn · Explore · Joseph Anady

x_old = h[0] // Previous activation · y

The source describes this relation in the following context: F_in = input + N(0, 0.1) // Noisy input x_old = h[0] // Previous activation y = y + (x - x_old) - 0.01 × y // Velocity with…

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eq-36b2ad1774ea86mathematical expression
y=y+(x−xold)−0.01×y//Velocitywithdampingy = y + (x - x_old) - 0.01 × y // Velocity with damping

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The source describes this relation in the following context: F_in = input + N(0, 0.1) // Noisy input

x_old = h[0] // Previous activation

y = y + (x - x_old) - 0.01 × y // Velocity with damping

h[j] = h[j+1] for j=0..42; h[43] = x // Shift hidden state

drive = 3.0 × F_in × (1-x) + 1.2 × y + 0.6 × c // Combined drive

g = 1/(1 + exp(-((0.8×P - kc)/0.3 + 1.2))) + 0.05 // Gate

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The recovered passage does not supply a separate symbol table. Read the source context for the notation used in this version; familiar letters may carry different meanings in other builds.

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Assumptions & limits

Source recovery establishes that the expression appears in this record. Its mathematical validity, implementation behavior, and interpretation must be assessed separately. See the linked source and research notes for the checks available for this version.

Original context

Read the surrounding source passage
F_in = input + N(0, 0.1)                         // Noisy input

x_old = h[0]                                     // Previous activation

y = y + (x - x_old) - 0.01 × y                  // Velocity with damping

h[j] = h[j+1] for j=0..42; h[43] = x             // Shift hidden state

drive = 3.0 × F_in × (1-x) + 1.2 × y + 0.6 × c  // Combined drive

g = 1/(1 + exp(-((0.8×P - kc)/0.3 + 1.2))) + 0.05  // Gate
Exact original notation
y = y + (x - x_old) - 0.01 × y                  // Velocity with damping

Sources & provenance

01
MEGAMIND_Complete_Technical_Specification.docx
paragraph 201 · Jan 24, 2026
y = y + (x - x_old) - 0.01 × y // Velocity with damping

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