Stephen A. Baccus

The paper shows that post-retinal brain areas recompute object motion sensitivity rather than inherit it from the retina, revealing parallel specialization in motion processing.

This paper introduces a calibration-free corneal-reflection eye tracking system for head-fixed mice using a single camera and multiple fiducial LEDs, achieving sub-degree accuracy and improving receptive field measurements.

A 40B-parameter DNA model trained on 9.3 trillion tokens scores coding and noncoding variants zero-shot, exposes interpretable sequence features, and writes chromosome-scale sequences.

7B-parameter convolution-attention DNA model with 131 kb context, trained on prokaryotic genomes, performs zero-shot fitness and essentiality prediction and generates Cas loci, transposons, and 650 kb sequences.

The paper analyzes how retinal ganglion cells adapt discriminability to natural scenes using a model of neural sensitivity and variability, finding that correlated noise reduces information transmission.

The paper classifies retinal amacrine cells by their responses to natural scenes using a neural network model and identifies seven clusters based on model presynaptic inputs.

The paper identifies two distinct modulatory roles of retinal amacrine cells in shaping ganglion cell responses to visual stimuli.

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 uses information geometry to analyze retinal representations of natural stimuli, finding that noise correlations limit information rather than enhance it, and that population coding improves information transmission.

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

The paper presents a mechanistically interpretable model of retinal ganglion cell responses to natural scenes, incorporating slow adaptive dynamics and capturing retinal computations.

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.

The paper studies motion anticipation in retinal amacrine cells using optical and electrical recordings, finding that slow biphasic amacrine cells contribute most to motion anticipation.

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

The paper demonstrates long-range sensitization in retinal ganglion cells and links it to a perceptual effect in humans, showing how the retina uses visual statistics to enhance local feature detection.

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.

The paper shows ultrasound induces behavioral responses in C. elegans through mechanical effects on neurons and MEC-4 ion channels, not thermal effects.

This study identifies radiation force as the physical mechanism of ultrasonic neurostimulation in ex vivo salamander retina, showing frequency-dependent stimulation and standing wave effects.