Animals and humans replay neural patterns encoding trajectories through their environment, both whilst they solve decision-making tasks and during rest. We have been using magnetoencephalography to detect replay in human subjects as they perform decision-making tasks. I will show our initial attempts, in a complex task; and our recent attempts, with a simpler task. In this, replay differed significantly between subjects who flexibly adjusted their choices to changes in temporal, spatial and reward structure and those who were slower to adapt to change. The former group predominantly replayed comparatively less good trajectories during task performance, and subsequently avoided these inefficient choices. The latter replayed comparatively pre...
<div><p>We are remarkably adept at inferring the consequences of our actions, yet the neuronal mecha...
Spontaneous neural activity is rarely the subject of investigation in cognitive neuroscience. This m...
Recent breakthroughs in artificial intelligence (AI) have enabled machines to plan in tasks previous...
Animals and humans replay neural patterns encoding trajectories through their environment, both whil...
Animals and humans replay neural patterns encoding trajectories through their environment, both whil...
Animals and humans replay neural patterns encoding trajectories through their environment, both whil...
Making decisions in sequentially structured tasks requires integrating distally acquired informatio...
Theories of neural replay propose that it supports a range of functions, most prominently planning a...
When faced with a novel situation, humans often spend substantial periods of time contemplating poss...
Planning enables humans and animals to use their knowledge of the structure of the world to anticipa...
To make decisions, animals must evaluate candidate choices by accessing memories of relevant experie...
The replay of task-relevant trajectories is known to contribute to memory consolidation and improved...
A modern synthesis of many studies examining hippocampal replay in decision-making tasks suggests th...
To make effective decisions, people need to consider the relationship between actions and outcomes. ...
Effective planning involves knowing where different actions take us. However natural environments ar...
<div><p>We are remarkably adept at inferring the consequences of our actions, yet the neuronal mecha...
Spontaneous neural activity is rarely the subject of investigation in cognitive neuroscience. This m...
Recent breakthroughs in artificial intelligence (AI) have enabled machines to plan in tasks previous...
Animals and humans replay neural patterns encoding trajectories through their environment, both whil...
Animals and humans replay neural patterns encoding trajectories through their environment, both whil...
Animals and humans replay neural patterns encoding trajectories through their environment, both whil...
Making decisions in sequentially structured tasks requires integrating distally acquired informatio...
Theories of neural replay propose that it supports a range of functions, most prominently planning a...
When faced with a novel situation, humans often spend substantial periods of time contemplating poss...
Planning enables humans and animals to use their knowledge of the structure of the world to anticipa...
To make decisions, animals must evaluate candidate choices by accessing memories of relevant experie...
The replay of task-relevant trajectories is known to contribute to memory consolidation and improved...
A modern synthesis of many studies examining hippocampal replay in decision-making tasks suggests th...
To make effective decisions, people need to consider the relationship between actions and outcomes. ...
Effective planning involves knowing where different actions take us. However natural environments ar...
<div><p>We are remarkably adept at inferring the consequences of our actions, yet the neuronal mecha...
Spontaneous neural activity is rarely the subject of investigation in cognitive neuroscience. This m...
Recent breakthroughs in artificial intelligence (AI) have enabled machines to plan in tasks previous...