Hippocampal place fields emerge during exploration to support navigational learning and memory. The subcellular mechanisms supporting place field formation remain unclear. O’Hare et al. report that di...

The appropriate form of the drift diffusion model depends on how one wishes to reason about their target with the model. If the goal is to parsimoniously explain the speed-accuracy tradeoff, the appr...

Mirjalili and Duarte use EEG and machine learning to simultaneously investigate how perception and attention contribute to episodic memory encoding. The study provides insights into episodic memory’s ...

Humans perceive discrete events such as “restaurant visits” and “train rides” in their continuous experience. One important prerequisite for studying human event perception is the ability of researche...

A computational problem in biological reward-based learning is how credit assignment is performed in the nucleus accumbens (NAc). Much research suggests that NAc dopamine encodes temporal-difference (...

Author summary Learning experiments in the laboratory are often assumed to exist in a vacuum, where participants solve a given task independently of how they learn in more natural circumstances. But h...

A guide for cognitive/neuro scientists for reinterpreting space and cognitive maps

Free Neuroscience Textbooks and Online Tutorials (Compiled by Carlos Aizenman, Brown University, Dept. of Neuroscience) Maintaining a current list of digital educational resources is tricky. Softwar...

The entorhinal cortex (EC) provides the major input to the hippocampus (HPC). Numerous computational models on the EC propose that its grid cells serve as a spatial metric, supporting path integration...

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How cognitive maps of physical and task space interact when executing cognitive tasks is not fully understood. This paper models how the hippocampal-prefrontal circuits solves memory-guided spatial al...