News
- Our paper on the functional organization of retinal input to the mouse superior colliculus has been accepted in Current Biology. Imaging more than 200,000 retinal ganglion cell axon boutons in vivo and combining the data with deep learning models, we find that nearly the full diversity of retinal ganglion cell types reaches the colliculus, organized in systematic functional gradients. Preprint · Code
- The openretina Project is now an eLife Reviewed Preprint. openretina is an open-source Python package for training, evaluating and comparing deep learning models of the retina across datasets and species. Code
- Presented a poster on our superior colliculus project at the FASEB Retinal Neurobiology and Visual Processing Conference in Sacramento, California, supported by a FASEB travel grant.
- New preprint: Eyewire II, a connectomic resource for the mouse retina that combines large-scale electron microscopy reconstructions with functional recordings to resolve retinal cell types and circuits.
- New preprint: On-Off coding is latent in vertebrate visual circuits. We show that the separation of On and Off signals is not a fixed circuit property but is shaped by inhibition and sensory context across the visual system.
- TRACE, our NeurIPS 2025 paper, is now in the proceedings. TRACE is a self-supervised contrastive learning method that uses repeated stimulus trials to learn representations of large-scale neural recordings.
- New preprint on the functional organization of retinal input to the mouse superior colliculus. Combining large-scale in vivo imaging with deep learning, we find that nearly the full diversity of retinal ganglion cell types reaches the colliculus, organized in systematic functional gradients. Code · Colab