Acetylcholine-modulated plasticity in reward-driven navigation (Zannone et al 2018)

"Neuromodulation plays a fundamental role in the acquisition of new behaviours. In previous experimental work, we showed that acetylcholine biases hippocampal synaptic plasticity towards depression, and the subsequent application of dopamine can retroactively convert depression into potentiation. We also demonstrated that incorporating this sequentially neuromodulated Spike- Timing-Dependent Plasticity (STDP) rule in a network model of navigation yields effective learning of changing reward locations. Here, we employ computational modelling to further characterize the effects of cholinergic depression on behaviour. We find that acetylcholine, by allowing learning from negative outcomes, enhances exploration over the action space. We show that this results in a variety of effects, depending on the structure of the model, the environment and the task. Interestingly, sequentially neuromodulated STDP also yields flexible learning, surpassing the performance of other reward-modulated plasticity rules."

Model Type: Realistic Network

Region(s) or Organism(s): Mouse

Transmitters: Acetylcholine; Dopamine

Model Concept(s): Synaptic Plasticity; Learning; STDP; Reward-modulated STDP; Hebbian plasticity; Spatial Navigation

Simulation Environment: MATLAB

Implementer(s): Zannone, Sara [s.zannone14 at]; Clopath, Claudia [c.clopath at]


Zannone S, Brzosko Z, Paulsen O, Clopath C. (2018). Acetylcholine-modulated plasticity in reward-driven navigation: a computational study. Scientific reports. 8 [PubMed]

This website requires cookies and limited processing of your personal data in order to function. By continuing to browse or otherwise use this site, you are agreeing to this use. See our Privacy policy and how to cite and terms of use.