Neural network model

Develop and analyse an integrate-and-fire neural-network model of visual perception using the LAMINART framework. The project studies multiple-object tracking, object segmentation and how model dynamics explain experimental behaviour. The appointment lasts up to 36 months in the Research Unit of Health and Cognitive Psychology at the Esbjerg campus, with collaboration in Odense and teaching duties. Applications are submitted electronically in English.

There is a fundamental tension between storing discrete traces of individual experiences, which allows recall of particular moments in our past without interference, and extracting regularities across these experiences, which supports generalization and prediction in similar situations in the future. One influential proposal for how the brain resolves this tension is that it separates the processes anatomically into Complementary Learning Systems, with the hippocampus rapidly encoding individual episodes and the neocortex slowly extracting regularities over days, months, and years. But this do

Deciding between potential actions involves coordinated activity across various cortical areas such as prefrontal, premotor, parietal, and primary motor cortex as well as interconnected subcortical regions within basal ganglia (BG). In investigating the specific function of each region in this process, the role of BG remains a matter of vigorous debate. While many studies have shown decision-related activity in BG nuclei, this activity appears significantly later than in associated cortical regions, and may not be the primary driver of decisions. Also, while BG stimulation can bias choices, in

There is a fundamental tension between storing discrete traces of individual experiences, which allows recall of particular moments in our past without interference, and extracting regularities across these experiences, which supports generalization and prediction in similar situations in the future. One influential proposal for how the brain resolves this tension is that it separates the processes anatomically into Complementary Learning Systems, with the hippocampus rapidly encoding individual episodes and the neocortex slowly extracting regularities over days, months, and years. But this do

…of human behavior by developing a neural network model where not only actions, but also planning, are controlled by prefrontal cortex. This model consists of a meta-reinforcement learning agent augmente

…of human behavior by developing a neural network model where not only actions, but also planning, are controlled by prefrontal cortex. This model consists of a meta-reinforcement learning agent augmente

…recurrent dynamics in the prefrontal network, acquired through a process of meta-reinforcement learning (Wang et al., 2018). However, these models fail to capture an important aspect of human behavior: when adapting to new information, we spend variable and often long periods of time contemplating possible futures before acting. For such planning to be rational, its benefits to future behavior must at least compensate for the

…The neural circuits underlying automatic motor sequences are thought to differ from those for executing flexible ones, but the distinction is poorly understood. To address this, we trained rats to execute sequences of three lever presses in flexible sessions – where cu