Sandeep Robert Datta

This paper develops inverse reinforcement learning to infer evolving objectives from animal behavior and shows it can identify time-varying objectives in mice.

This study identifies Tex15 as a gene required for maintaining diversity in odorant receptor expression in mouse olfactory neurons.

The paper shows that olfactory receptor expression in the nose follows a spatial code controlled by a retinoic acid gradient, aligning epithelial and brain maps.

This study examines the effects of Grin2a and Akap11 mutations on striatal dopamine dynamics and behavior in mice, revealing distinct impacts on locomotion and neural activity.

The paper introduces face-rhythm, an unsupervised pipeline for analyzing rodent facial movements, and shows it can decode task variables and cortical activity.

This study identifies molecular signatures of ancestral cell types in mammalian olfactory cortex neurons by comparing transcriptomes across species and cortical layers.

The paper examines how serotonin receptor agonists and antagonists affect mouse behavior and whole-brain neuronal activity, revealing relationships between behavioral changes and Fos expression patterns.

The paper shows that metabotropic signaling in somatostatin interneurons eliminates transient thalamocortical inputs during development, affecting adult exploratory behavior.

The paper resolves a contradiction between striatal reinforcement learning models and SPN synaptic plasticity by showing that iSPN plasticity hinders learning but can be reversed by simultaneous activation of dSPN and iSPN.

This study uses motion sequencing to analyze behavioral syllables after spinal cord injury, revealing recovery patterns shaped by injury severity and individual differences.

Experiments across four laboratories found that arbaclofen rescued cognitive deficits in mouse models of 16p11.2 deletion, without sedation or significant off-target behavioral effects.

Keypoint-MoSeq fits a generative model that tells tracking jitter apart from real movement, cutting pose time series into unsupervised sub-second behavioural syllables in mice.

This study identifies brain region-specific changes and dopamine dysregulation in Grin2a mutant mice, supporting schizophrenia hypotheses and highlighting their utility as a genetic model.

The paper uses machine learning to analyze novelty-induced behaviors and finds that dopamine in the striatum correlates with individual variability and is explained by a reinforcement learning model of threat prediction.

The paper investigates persistent smell loss after COVID-19 by analyzing olfactory epithelium inflammation and gene expression in patients with post-acute sequelae.

The paper identifies non-neuronal cell types in the olfactory system expressing SARS-CoV-2 entry genes, suggesting indirect mechanisms for COVID-19-associated anosmia.

This study deletes the GABAA receptor δ subunit in cerebellar granule cells in mice, revealing its role in anxiety, social, and maternal behaviors without affecting motor performance.

This paper introduces tapered optical fibers for dynamic light delivery in brain regions, showing they can illuminate large volumes or specific subregions with adjustable precision.