Neural Kernels for Recursive Support Vector Regression as a Model for Episodic Memory

Abstract

Retrieval of episodic memories requires intrinsic reactivation of neuronal activity patterns. The content of the memories are thereby assumed to be stored in synaptic connections. This paper proposes a theory in which these are the synaptic connections that specifically convey the temporal order information contained in the sequences of a neuronal reservoir to the sensory-motor cortical areas that give rise to the subjective impression of retrieval of sensory motor events. The theory is based on a novel recursive version of support vector regression that allows for efficient continuous learning that is only limited by the representational capacity of the reservoir. The paper argues that hippocampal theta sequences are a potential neural substrate underlying this reservoir.The theory is consistent with confabulations and post-hoc alterations of existing memories.