A strategy is just a specification of (possibly randomised) actions to take in every possible circumstance, even those that are ruled out by equilibrium. More formally, a strategy is a mapping from histories (descriptions of past events) into (probability distributions on) actions.
Hence, strategies in the first stage are as you describe. Both players choose $a_i = 1$.
Strategies in the second stage are just functions of what both players did in the first stage. Let's denote this function for player $i$ by $$s_i:\{-1,1\}^2\to A_i$$ where $A_1=\{T,B\}$ and $A_2=\{L,R\}$.
As you've observed, in equilibrium, $$ s_1(1,1) = B$$ $$ s_2(1,1) = R $$
Hence, all that's left is to define $s_i(-1,-1)$, $s_i(1,-1)$, and $s_i(-1,1)$ for $i=1,2$. Note that these have to be best responses in their respective subgames to form a subgame perfect equilibrium. (They can be defined arbitrarily for Nash equilibrium.)
For instance, one possible specification of subgame perfect equilibrium strategies would have that
$$ s_1(-1,-1) = B $$
$$ s_1(-1,-1) = L $$
Notice that the non-uniqueness of Nash equilibrium in the subgame after the first stage action profile $(-1,-1)$ gives us some leeway in defining subgame perfect equilibrium strategies here.
I'll leave the rest of the details to you.
As for your question on representing strategies, unfortunately I don't know of any specific way that's especially efficient.