Kamal Maher

Deconstructing a behavioral state: parallel neural integrators control distinct features of an aversive behavioral state in C. elegans

The paper identifies parallel neural integrators in C. elegans that control distinct features of an aversive behavioral state by integrating sensory stimuli over different timescales.

Harmonic representations of regions and interactions in spatial transcriptomics

This paper introduces a harmonic framework to analyze spatial transcriptomics data, showing that high-frequency patterns represent cell-cell interactions while low-frequency patterns represent tissue regions.

Spatial Atlas of the Mouse Central Nervous System at Molecular Resolution

The paper creates a high-resolution spatial atlas of the mouse CNS by combining in situ sequencing with scRNA-seq data to map cell types and gene expression across the brain and spinal cord.

Mitigating autocorrelation during spatially resolved transcriptomics data analysis

The paper introduces SPIN, a method to mitigate autocorrelation in spatial transcriptomics by subsampling neighbors, improving existing methods and enabling joint analysis across datasets.

Spatiotemporally resolved transcriptomics reveals subcellular RNA kinetic landscape

This paper introduces TEMPOmap, a method to profile subcellular RNA kinetics in single cells, revealing kinetic gene clusters with distinct functional roles.

Songbird ventral basal ganglia sends performance error signals to dopaminergic midbrain

The paper identifies a ventral basal ganglia region in songbirds that computes prediction error signals and sends them to the VTA, revealing an actor-critic circuit motif in song learning.