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Theta Phase Coding and Acetylcholine Modulation in a Spiking Neural Network
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posted on 2023-06-08, 05:55 authored by Daniel Bush, Andy PhilippidesAndy Philippides, Phil HusbandsPhil Husbands, Michael O'SheaTheta 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 auto-associative network using spike-timing dependent plasticity. This paper provides an abstract, descriptive model of theta phase coding in a spiking neural network, and aims to investigate how learning and recall functions may be separated by the neuromodulatory action of Acetylcholine (ACh). It is demonstrated that ACh is not essential for concurrent learning and recall without interference in this case, thanks to the robust nature of the theta phase coding implementation. However, the neuromodulation of synaptic plasticity offers other advantages, and may be essential to avoid continually consolidating false predictions when learning new routes.
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Publication status
- Published
ISSN
0302-9743Publisher
SpringerExternal DOI
Volume
5040Page range
159-168Pages
10.0Presentation Type
- paper
Event name
10th international conference on Simulation of Adaptive Behavior: From Animals to AnimatsEvent type
conferenceDepartment affiliated with
- Informatics Publications
Full text available
- No
Peer reviewed?
- Yes
Legacy Posted Date
2012-02-06Usage metrics
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