Induction and consolidation of calcium-based homo- and heterosynaptic potentiation and depression

Abstract

Synaptic plasticity serves as the physiological foundation for learning and memory [1]. While homosynaptic plasticity is associative learning or Hebbian-type plasticity, heterosynaptic plasticity reflects the change without direct stimulation, i.e. non-associative plasticity [2]. However, heterosynaptic plasticity is an important mechanism preventing run-away dynamics and offers a potential mechanism to understand memory allocation [2,3]. Experimental results show that the induction of heterosynaptic plasticity as well as homosynaptic plasticity depends on the postsynaptic calcium concentration [4]. We propose that heterosynaptic plasticity can be induced by the postsynaptic calcium dynamics which can be triggered by the back propagation of action potentials. However, homosynaptic plasticity has an early-phase ( 8 hours) [1]. Experiments show that an early-phase change can be transferred to a late-phase by the mechanisms of synaptic tagging and (STC) [5,6]: (i) the changed synapse get tagged and (ii) a strong activation enables in the postsynaptic neuron the synthesis of plasticity-related proteins (PRP) which are transmitted back to the tagged synapse[5,6]. We propose that the same STC mechanism consolidating homosynaptic changes are also able to consolidate heterosynaptic changes. We combine a history spiking-dependent neuron [7] with calcium-based plasticity rule [8] and consolidation mechanism [9] to understand: (i) the mechanisms of inducing heterosynaptic plasticity by which the inactive synapse can change its weight through the postsynaptic calcium level triggered by the back propagation of the shared neuron; and (ii) of the consolidation of heterosynaptic changes based on the tagging and consolidation principle. For instance, a strong stimulus transmitted by a group of synapses induces and consolidates by the postsynaptic neuron heterosynaptic changes at other, unrelated synapses. Our study provides a further step of understanding how several mechanisms interact with each other to enable the formation of computational important long-term changes or memories.