Katja Seeliger, Dr. - Publications
Affiliations: | 2015-2020 | Donders Centre for Cognition | Radboud University Nijmegen, Nijmegen, Gelderland, Netherlands |
2020-2025 | Vision and Computational Cognition Group | Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Sachsen, Germany |
Area:
cognitive computational neuroscience, neural networks, end-to-end learning, neural coding, visual system, sensory reconstructionWebsite:
https://seelikat.github.ioYear | Citation | Score | |||
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2023 | Golan T, Taylor J, Schütt H, Peters B, Sommers RP, Seeliger K, Doerig A, Linton P, Konkle T, van Gerven M, Kording K, Richards B, Kietzmann TC, Lindsay GW, Kriegeskorte N. Deep neural networks are not a single hypothesis but a language for expressing computational hypotheses. The Behavioral and Brain Sciences. 46: e392. PMID 38054329 DOI: 10.1017/S0140525X23001553 | 0.625 | |||
2022 | Le L, Ambrogioni L, Seeliger K, Güçlütürk Y, van Gerven M, Güçlü U. Brain2Pix: Fully convolutional naturalistic video frame reconstruction from brain activity. Frontiers in Neuroscience. 16: 940972. PMID 36452333 DOI: 10.3389/fnins.2022.940972 | 0.565 | |||
2022 | Singer JJD, Seeliger K, Kietzmann TC, Hebart MN. From photos to sketches - how humans and deep neural networks process objects across different levels of visual abstraction. Journal of Vision. 22: 4. PMID 35129578 DOI: 10.1167/jov.22.2.4 | 0.412 | |||
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