Jaldert Rombouts - Neurally plausible reinforcement learning of memory representations in delayed-response tasks
A key function of brains is undoubtedly the abstraction and maintenance of information from the environment for later use. Neurons in association cortex play an important role in this process: during learning these neurons become tuned to relevant features and represent the information that is required later as a persistent elevation of their activity. It is however not well known how these neurons acquire their task-relevant tuning.
Here we present a biologically plausible neural network model based on reinforcement learning that explains how neurons learn to represent task-relevant information in delayed response tasks. This model generalizes the Attention-Gated Reinforcement Learning (AGREL) model by Roelfsema and van Ooyen (2005) to the temporal domain. An attention-based feedback signal from the motor layer to earlier processing layers is combined with a novel memory mechanism to solve the structural and temporal credit-assignment problems. We can show that on average the updates are equal to a variant of the Error-Backpropagation algorithm.
The model can explain how neurons in lateral intraparietal cortex (LIP) learn to represent task-relevant information in 1) a memory (anti)saccade task, 2) an orientation discrimination task and 3) a probabilistic classification task. Comparisons with experimental results from animals trained on these same tasks show that the model neurons learn representations that are similar to those observed in biological neurons.
This is joint work with Pieter Roelfsema and Sander Bohte
Laatst gewijzigd: | 10 februari 2021 14:56 |
Meer nieuws
-
29 april 2024
Sensor met gevoel
In Makers van de RUG belichten we elke twee weken een onderzoeker die iets concreets heeft ontwikkeld: van zelfgemaakte meetapparatuur voor wetenschappelijk onderzoek tot kleine of grote producten die ons dagelijks leven kunnen veranderen. Zo...
-
29 april 2024
Behind the scenes: hoe studenten van de RUG en Hanze samen een Marsrover ontwikkelen
Dit jaar doen de studenten van het Makercieteam mee aan de fysieke editie van de European Rover Challenge in Polen. Lees hier meer over de samenwerking binnen het team tussen de RUG en de Hanzehogeschool.
-
23 april 2024
Negen MSCA Doctoral Network subsidies voor FSE onderzoekers
Negen onderzoekers van de Faculty of Science and Engineering hebben een Horizon Europe Marie Sklodowska Curie Doctoral Network subsidie ontvangen.