NEURD offers automated proofreading and feature extraction for connectomics
Nature, 640, 487-496, 2025
Neurophysiology
Large scale neural recordings from in-vivo and in-vitro non-human mammalian brains use optical and electrical techniques. Data obtained from these recordings are used for building large scale machine learning algorithm based models that predict neural responses from visual stimuli.
Publications
Foundation model of neural activity predicts response to new stimulus types
Nature, 640, 470-477, 2025
Functional connectomics reveals general wiring rule in mouse visual cortex
Nature, 640, 459-469, 2025
Functional connectomics spanning multiple areas of mouse visual cortex
Nature, 640, 435-447, 2025
A wireless subdural-contained brain–computer interface with 65,536 electrodes and 1,024 channels
Nature Electronics, 8, 1272–1288, 2025
Temporal coding carries more stable cortical visual representations than firing rate over time
Nature Communications, 16, 7162, 2025
Cellular composition and circuit organization of the locus coeruleus of adult mice
Elife, doi: 10.7554/eLife.80100, 2023
Sustained deep-tissue voltage recording using a fast indicator evolved for two-photon microscopy
Cell, doi: 10.1016/j.cell.2022.07.013, 2022
State-dependent pupil dilation rapidly shifts visual feature selectivity
Nature, doi: 10.1038/s41586-022-05270-3, 2022
Layer 4 of mouse neocortex differs in cell types and circuit organization between sensory areas
Nat. Comm. 2019 Sep 13;10(1):4174
Faster processing of moving compared to flashed bars in awake macaque V1 provides a neural correlate of the flash lag illusion
J. Neurophysiology, doi:10.1152/jn.00792.2017, 2018
Response to Comment on "Principles of connectivity among morphologically defined cell types in adult neocortex"
Science, doi: 10.1126/science.aaf6102, 2016
Principles of connectivity among morphologically defined cell types in adult neocortex
Science, doi: 10.1126/science.aac9462, 2015