Bicanski proposes an algorithm and neural mechanisms for the iterative construction of abstract cognitive maps via non-local inference. Map positions are triangulated and memorized by a set of extant ...

Humans tend to discount the value of delayed rewards. As a consequence, they forego larger long-term benefits (e.g., €29 in 91 days) in favor of small…

The authors use recurrent neural networks to predict how structured prior experience shapes neural dynamics as mice learn flexible timing strategies during complex context-dependent behavior.

Author summary Conventional best-practice statistical approaches have so far been difficult to implement in cases where the underlying data are circular, for example in the analysis of phase data. Suc...

Compositionality exists on a continuum of increasing complexity rather than as a binary trait. Studying its implementation in simpler biological and artificial systems is the most tractable path towar...

Abstract. Retrieval training (i.e., cued recall) is theorised to induce rapid memory consolidation, similarly to sleep. Across consolidation, related neural representations become increasingly similar...

Author summary Learning new skills is fundamental to humans and animals. However, a key challenge in learning is generalization: applying learned skills to new situations not encountered during traini...

Getting to a new level of understanding in neuroscience and cognitive science

How past experiences are reconstructed from memory remains unclear. Here the authors used intracranial EEG to show that hippocampal ripples reshape the geometry of cortical representations, supporting...

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

Fully funded PostDoc Position (m/f/d) for 4 years in Cognitive and Computational Neuroscience (Area: Functions of the Perirhinal Cortex) - Doeller Lab | Karriereportal Max-Planck-Institut für Kogniti...

Category learning—the ability to group individual objects, experiences, and concepts into higher-level abstract representations—is fundamental to fast, flexible decision-making and generalization of k...

Extracting regularities from a noisy environment is fundamental to cognition, yet the underlying neural mechanisms remain unclear. Here, the authors use MEG and MVPA to reveal two temporally dissociab...

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).

Episodic memories are highly dynamic and change in nonlinear ways over time. This dynamism is not captured by existing systems consolidation theories …

Context-dependent behavior selects actions according to task demands. Using direct brain recordings in humans, Binish et al. uncover how coordinated population activity efficiently channels informatio...

Nature Communications - Breathing shapes perception: Inspiration upregulates arousal and excitability, sharpening sensitivity to visual signals. By aligning respiration with task timing, people...

This study presents a unified computational framework of meta-control that explains how people regulate cognitive control across different timescales and contexts, accounting for both rapid, short-liv...

How sensitive is TDLM really? Can we actually find replay when we know it is present?