Kanaka Rajan

The paper investigates how motivational context affects cortico-medullary communication during different types of licking behavior in mice.

This paper introduces CURBD, a method using data-constrained recurrent neural networks to infer brain-wide interactions from neural recordings across species.

The paper shows mice seek information for its intrinsic value, with distinct neural representations in the orbitofrontal cortex for information and reward.

The paper uses data-derived agents to study neural dynamics in mouse cortex, revealing chaotic attractors that support robust and adaptable behavior.

The paper identifies a critical stress exposure period that drives neurophysiological changes in CRF neurons, leading to resilience in mice exposed to repeated social defeat stress.

The paper identifies temporally specific neural activity patterns in subcallosal ACC, striatum, and amygdala during reward anticipation in non-human primates.

The paper shows that mice learning to use novel optogenetic activity patterns in V1 experience amplified neural responses, suggesting cortical plasticity improves behavioral performance.

This study shows that strong aversive experiences in mice drive offline reactivation of both recent aversive and older neutral memories, linking them across days.

Minian is an open-source pipeline for analyzing single-photon in vivo calcium imaging data, offering low memory usage, interactive visualizations, and parameter exploration tools.

The paper shows that diverse neural response profiles in auditory cortex arise from synaptic plasticity and contribute differently to task performance.

TRAKR classifies neural time-series patterns with high accuracy using one-shot learning, outperforming distance metrics and matching deep supervised methods.

Recordings from four monkeys handling objects place input-driven activity in one putative somatosensory-feedback subspace of motor cortex, prominent around error correction and probed by stimulating ascending tracts.

The paper identifies task-relevant information in nominally non-responsive neurons using a spike-timing-based algorithm in behaving rats.