Multiple point-attractor states form in neural circuits with clustered connectivity.

Transitions between attractor states can arise without a change in stimulus.

Transitions and final state reached can be stimulus-history or context dependent.

Variability of the timing of transitions across trials renders the PSTH inadequate.

Hidden Markov modeling reveals such state transitions in multi-unit data.