David B. Kastner

The paper introduces CBAS, a data-driven method to identify interpretable behavioral components by analyzing action sequences across species, showing its applicability in flies, rats, and humans.

The paper investigates how partial cone loss differentially affects two OFF ganglion cell pathways in the mouse retina, revealing distinct circuit modifications and functional changes.

The paper shows autism genes converge at cilia, linking them to ciliary dysfunction and co-occurring conditions.

The paper develops a three-layer network model to predict retinal responses to natural scenes, revealing fast dynamics in ganglion cell signaling and the role of interneurons in generating the retinal code.

The paper identifies spatial preferences in rats during a spatial alternation task, showing how these preferences contribute to inter-animal variability in learning.

The paper identifies how two inhibitory pathways in the retina work together to create efficient and diverse ganglion cell receptive fields through synchronized activity.

This study investigates hippocampal replay during memory-guided behavior and finds that replay content reflects past experiences rather than future choices.

The paper shows that inhibitory neurons reduce the negative effects of threshold modulation in neural circuits by selectively modulating sparsely responding neurons, enhancing information transmission.

This paper introduces a scalable method for micro-CT analysis to quantitatively characterize brain lesions and implants while preserving the skull.

The paper identifies a mechanism of retinal sensitization through inhibition adaptation, showing it enhances sensitivity to sensory features by predicting future input.

The paper shows that the On pathway in retinal cells adjusts temporal bandwidth in response to contrast, while other adaptive properties remain unchanged.

The paper develops a computational framework to infer hidden structure in multilayered neural circuits, demonstrating improved prediction of retinal ganglion cell spikes using nonlinear models.