ePoster · Computational Neuroscience
Knocking out co-active plasticity rules in neural networks reveals synapse type-specific contributions for learning and memory
Zoe Harrington, Basile Confavreux, Pedro Gonçalves, Jakob Macke, Tim Vogels · Bernstein Conference 2024
Synaptic plasticity is thought to underlie learning and memory [1]. Plasticity rules can be active in different synaptic connection types, such as excitatory-excitatory (EE) and inhibitory-excitatory (IE) connections, with in silico and experimental evidence suggesting distinct mechanisms for each type [2,3,4]. While the interaction between connection types in learning and memory is an active research focus [5], studies typically probe only one type of plasticity at a time. Thus, at scale, the contributions of connection types and their co-active plasticity rules to memory processes remain unc