Benjamin F. Grewe

The paper introduces a novel MRI-compatible microscope to simultaneously record single-cell calcium activity and whole-brain BOLD fMRI in awake mice, revealing vascular-dependent neural activity patterns.

This study shows that hippocampal CA1 coding changes during categorization training in mice, with factorized representations of choice and outcome variables improving behavioral performance.

This study investigates whether visual observation of maternal behavior is sufficient for pup retrieval in pup-naive virgin mice, finding no significant difference in retrieval success between visual access and barrier conditions.

This study shows that inhibiting oxytocin receptor neurons in the medial prefrontal cortex promotes sociosexual behavior in female mice by regulating pyramidal neuron activity during decision-making.

This study shows that ACC neurons encode chosen actions and their outcomes rather than cognitive states like attention or impulsivity in mice performing a task.

The paper tests two hypotheses for hierarchical learning in the neocortex using in vitro and in vivo data, finding a discrepancy between neocortical learning and canonical machine learning.

This paper proposes a biologically plausible deep learning framework using temporal Hebbian updates to model cortical hierarchies and supervised learning.

This study uses calcium imaging in mice to identify population-level neural activity in the medial prefrontal cortex during avoidance learning, showing that avoidance-related activity predicts behavior and distinguishes between different learned actions.

This study compares how reward locations are encoded in dorsal and ventral hippocampus during navigation, finding distinct coding strategies in each region.

This study identifies striatum-projecting prefrontal cortex neurons as critical for spatial working memory maintenance in mice.

The paper decodes working memory-related neural connectivity in mice and humans across tasks, finding task-specific and distributed patterns with high prediction accuracy.

The paper introduces a viral tool for fast retrograde labeling of projection neurons in songbirds and mice, enabling detailed analysis of vocal learning circuits.

The paper identifies how two populations of neurons in the amygdala encode behavioral states through calcium dynamics in freely moving mice.