Abstract. Prioritizing memories that are motivationally salient is adaptive for goal-directed behavior, ensuring that information being retained is the most relevant to future goals. Past research dem...

Hands-on tutorials for the book Elements of fMRI Analysis: runnable MATLAB and Python code, thought questions, and self-quizzes for all 42 chapters.

O’Neill, Posani and colleagues show that while single amygdala neurons encode multiple emotional state-related variables (for example, valence, fear and safety), population-level geometry can enable o...

In daily life, we often draw inferences about novel associations from prior experiences. This ability, associative inference, is thought to be a ke...

Cortical circuits prioritize diversity over categorical structure, supporting a computational regime geared towards high-dimensional, highly separable neural representations.

Contribute to RikHenson/fMRIefficiency development by creating an account on GitHub.

Humans handle numbers nimbly, suggesting a richer neural manifold structure than the prevalent mental number line model. In populations of medial temporal lobe (MTL) neurons in humans performing two s...

Cortical circuits prioritize diversity over categorical structure, supporting a computational regime geared towards high-dimensional, highly separable neural representations.

Flexible behavior requires using past experiences to configure cortical computations to suit current task demands. A central question in neuroscience is how memory representations control such reconfi...

This review integrates computational approaches to provide a unified view on how data analysis methods, biophysical mechanistic models and machine learning approaches can help to uncover the origins a...

Noninvasive methods are making it possible to study neural replay in humans. Although focused on alignment with rodent findings, human research often …

A combined MEG + fMRI benchmark dataset with known neural sequences to validate replay detection methods (TDLM and SODA).

Busch et al. use nonlinear neural manifolds to help humans gain rapid control over a noninvasive brain–computer interface, allowing them to learn how to play a video game with real-time fMRI neurofeed...

Perceptual multistability, observed across species and sensory modalities, offers valuable insights into numerous cognitive functions and dysfunctions. For instance, differences in temporal dynamics a...

Or: how I learned to stop worrying and love the memorization

How neural geometry will unlock understanding and control of AI

Dopamine signaling has become closely associated with reward prediction errors (RPEs)–the difference between expected and experienced value. Although not wit...

When single neurons encode word meanings (concepts), they use the computational principle of superposition.

In the hippocampus, complex processing of sensory stimuli occurs even in the unconscious state.

By harnessing a mental model of how the world works, learners can make flexible choices in changing environments. However, while children and adolesce…

The neuroscience of planning has long been analogized to search algorithms in artificial intelligence (AI), which simulate future actions to guide immediate choices. We argue that advances in both neu...

This study shows that cerebellar circuits learn and encode prior probabilities of event timing. Cell-type-specific neural activity reflects environmental statistics and guides predictive motor behavio...

Strategic avoidance of uncertainty emerges under high cognitive demands, enabling faster decisions without impairing learning.

In a new computational analysis of previous work, this study shows that a control-free mechanism better accounts for value-based decisions than an account that assumes top-down control invigorating th...

Nicholas and Mattar found that people use episodic memory to make decisions when it is unclear what will be needed in the future. These findings reveal how the rich representational capacity of episod...

Language understanding entails not just extracting the surface-level meaning of the linguistic input, but constructing rich mental models of the situation it describes. Here we propose that because pr...