Nicholas Blauch - Publications

Affiliations: 
2018- Program in Neural Computation Carnegie Mellon University, Pittsburgh, PA 

7 high-probability publications. We are testing a new system for linking publications to authors. You can help! If you notice any inaccuracies, please sign in and mark papers as correct or incorrect matches. If you identify any major omissions or other inaccuracies in the publication list, please let us know.

Year Citation  Score
2024 Vin R, Blauch NM, Plaut DC, Behrmann M. Visual word processing engages a hierarchical, distributed, and bilateral cortical network. Iscience. 27: 108809. PMID 38303718 DOI: 10.1016/j.isci.2024.108809  0.422
2022 Blauch NM, Behrmann M, Plaut DC. A connectivity-constrained computational account of topographic organization in primate high-level visual cortex. Proceedings of the National Academy of Sciences of the United States of America. 119. PMID 35027449 DOI: 10.1073/pnas.2112566119  0.448
2021 Blauch NM, Behrmann M, Plaut DC. Deep learning of shared perceptual representations for familiar and unfamiliar faces: Reply to commentaries. Cognition. 208: 104484. PMID 33504433 DOI: 10.1016/j.cognition.2020.104484  0.46
2020 Blauch NM, Behrmann M, Plaut DC. Computational insights into human perceptual expertise for familiar and unfamiliar face recognition. Cognition. 104341. PMID 32586632 DOI: 10.1016/j.cognition.2020.104341  0.474
2020 Granovetter MC, Burlingham CS, Blauch NM, Minshew NJ, Heeger DJ, Behrmann M. Uncharacteristic task-evoked pupillary responses implicate atypical locus coeruleus activity in autism. The Journal of Neuroscience : the Official Journal of the Society For Neuroscience. PMID 32253362 DOI: 10.1523/JNEUROSCI.2680-19.2020  0.423
2019 Blauch N, Behrmann M. Representing faces in 3D. Nature Human Behaviour. PMID 31209367 DOI: 10.1038/S41562-019-0630-6  0.462
2019 Blauch NM, De Avila Belbute Peres F, Farooqui J, Zar AC, Plaut D, Behrmann M. Assessing the similarity of cortical object and scene representations through cross-validated voxel encoding models Journal of Vision. 19: 188d. DOI: 10.1167/19.10.188d  0.389
Show low-probability matches.