Theta Phase Coding and Acetylcholine Modulation in a Spiking Neural Network

Theta frequency oscillations are a prominent feature of the hippocampal EEG during active locomotion and learning. It has also been observed that the relative timing of place cell firing recedes as its place field is traversed – a phenomena known as phase precession. This has led to the development of a theory of theta phase coding, whereby spatial sequences being encountered on a behavioural timescale are compressed into a firing sequence of place cells which is repeated in each theta cycle and stored in an autoassociative network using spike-timing dependent plasticity. This paper provides an abstract model of theta phase coding in a spiking neural network, and aims to investigate how learning and recall functions may be mediated by the neuromodulatory functions of Acetylcholine (ACh). It is demonstrated that ACh is not essential for concurrent learning and recall without interference, thanks to the robust nature of the theta phase coding implementation. However, the neuromodulation of synaptic plasticity may be essential to avoid continually consolidating false predictions when learning new routes.