Research ArticleNEUROSCIENCE
Visual number sense in untrained deep neural networks
- View ORCID ProfileGwangsu Kim1,*,
- View ORCID ProfileJaeson Jang2,*,
- View ORCID ProfileSeungdae Baek2,
- View ORCID ProfileMin Song2,3 and
- View ORCID ProfileSe-Bum Paik2,3,†
- 1Department of Physics, Korea Advanced Institute of Science and Technology, Daejeon 34141, Republic of Korea.
- 2Department of Bio and Brain Engineering, Korea Advanced Institute of Science and Technology, Daejeon 34141, Republic of Korea.
- 3Program of Brain and Cognitive Engineering, Korea Advanced Institute of Science and Technology, Daejeon 34141, Republic of Korea.
- ↵†Corresponding author. Email: sbpaik{at}kaist.ac.kr
↵* These authors contributed equally to this work.
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Science Advances 01 Jan 2021:
Vol. 7, no. 1, eabd6127
DOI: 10.1126/sciadv.abd6127
Vol. 7, no. 1, eabd6127
DOI: 10.1126/sciadv.abd6127
Gwangsu Kim
1Department of Physics, Korea Advanced Institute of Science and Technology, Daejeon 34141, Republic of Korea.
Jaeson Jang
2Department of Bio and Brain Engineering, Korea Advanced Institute of Science and Technology, Daejeon 34141, Republic of Korea.
Seungdae Baek
2Department of Bio and Brain Engineering, Korea Advanced Institute of Science and Technology, Daejeon 34141, Republic of Korea.
Min Song
2Department of Bio and Brain Engineering, Korea Advanced Institute of Science and Technology, Daejeon 34141, Republic of Korea.
3Program of Brain and Cognitive Engineering, Korea Advanced Institute of Science and Technology, Daejeon 34141, Republic of Korea.
Se-Bum Paik
2Department of Bio and Brain Engineering, Korea Advanced Institute of Science and Technology, Daejeon 34141, Republic of Korea.
3Program of Brain and Cognitive Engineering, Korea Advanced Institute of Science and Technology, Daejeon 34141, Republic of Korea.