Anirban Nandi

The paper links in vitro, in vivo, and in silico cell classes in mouse visual cortex using computational modeling and optotagging experiments to identify distinct clusters with specific properties.

This study characterizes and simulates changes in human hippocampal granule cells during epilepsy progression, identifying ion channel modifications that increase excitability.

The paper generates and evaluates over 130 million single-neuron models with active conductances to link electrophysiology, morphology, and transcriptomics across cortical cell types.

The paper maps chandelier cell synapses onto pyramidal neurons and finds variability in synaptic input correlated with target neuron features, while showing functional correlation with arousal state.

This paper uses optimization-based modeling to study how sensory networks, specifically in the olfactory system, track low-dimensional latent representations of stimuli through temporal dynamics.

The paper shows that h-channels contribute to differences in electrophysiological properties between human and mouse supragranular pyramidal neurons.