Hi @gidmeister, I think HTM and @s.aleksashenko uses the term bursting differently. For HTM, bursting means neurons of a minicolumn becoming active if they are not predicted. So bursting refers to the total activation of a minicolumn, not the firing characteristics of a specific neuron. From what I understand, @s.aleksashenko uses bursting in the sense that a specific neuron fires frequently in case of a predicted activation.
In addition, according to BAMI page 28:
One condition that can cause a mini-burst is when a cell starts firing from a previously depolarized state. A mini-burst activates metabotropic receptors in the post-synaptic cell, which leads to long lasting depolarization and learning effects.
So HTM itself states a similar thing that a predicted active cell bursts (they call it mini-burst). If I am not wrong, Numenta specifically explored whether there is a firing difference between just an active cell (resulting from a bursted minicolumn) or a predicted active cell. For their temporal pooling theory to work, they needed predicted active cells to fire differently than just neurons that are active because their minicolumn is bursted. Their best answer was the functional difference between metabotropic and ionotropic receptors of neurons. So predicted active cells lead to the activation of the metabotropic receptors of the target cell because of the firing characteristics of the predicted active cell which they call mini-burst above and corresponds to what @s.aleksashenko refers as bursting. On the other hand, bursting in HTM refers to neurons of a mini-column getting all active. So this is where the confusion originates but I am almost sure that they are saying the same thing with different words.