The proposed mechanism for flexible speed control through heterogeneous plasticity rules could interact with other known mechanisms for temporal control in several ways. Short-term synaptic depression, for example, could complement the heterogeneous plasticity rules by providing a mechanism for regulating the strength of synaptic connections based on recent activity. This could influence the dynamics of sequence retrieval by modulating the efficacy of synapses involved in the network activity.
Similarly, feedforward inhibition could play a role in shaping the dynamics of sequence retrieval by controlling the flow of information within the network. By selectively inhibiting certain pathways or populations of neurons, feedforward inhibition could influence the timing and speed of sequential activity. When combined with the heterogeneous plasticity rules, feedforward inhibition could provide an additional layer of control over the network dynamics, allowing for more precise temporal regulation.
Overall, the interaction between the proposed mechanism for flexible speed control and other known mechanisms for temporal control could lead to a more robust and adaptable system for regulating sequential activity in neural networks. By integrating multiple mechanisms, the network could exhibit complex and dynamic temporal behaviors that are essential for various cognitive functions.