Please explain how to interpret or understand the “⊤” notation used within equations in some of Numenta’s research papers. That’s a symbol that looks like “T” - a capital t.

For example: In “Avoiding Catastrophe: Active Dendrites Enable Multi-Task Learning in Dynamic Environments” section 3.1 there is the equation (1):
tˆ=w⊤x+b

What is the best way to interpret this, especially the wTx part?

Thanks for the response neel_g. I know of matrix transpose. However, when used between two matricies (say matrix w and matrix x) it doesn’t seem to make sense. Any thoughts, suggestions?

\mathbf{w}^\top indeed means the transpose of \mathbf{w}, which is likely a vector.
So \mathbf{w}^\top\mathbf{x} results in the dot product between \mathbf{w} and \mathbf{x}.