339 citations
- Stanford UniversityUS7 papers
- Allen Institute for Brain ScienceUS3 papers
- Howard Hughes Medical InstituteUS3 papers
- Bioengineering CenterRU2 papers
- Harvard UniversityUS2 papers
- Massachusetts General HospitalUS2 papers
- Neuroscience InstituteIT2 papers
- Princeton UniversityUS2 papers
- Stanford MedicineUS2 papers
- Uber AI (United States)US2 papers
- University of California, BerkeleyUS2 papers
- University of California, DavisUS2 papers
21 papers
Microscopy of Bioelectric Potentials using Electrochromism
Burhan Ahmed, Erica Liu, Lothar Maisenbacher +7
Studying the electrical signals generated by living cells is key to understanding numerous biological phenomena. Electrochromic optical recording (ECORE) uses the electrochromism e…
End-to-End Joint ASR and Speaker Role Diarization with Child-Adult Interactions
Anfeng Xu, Tiantian Feng, Somer Bishop +2
Accurate transcription and speaker role diarization of child-adult spoken interactions are crucial for developmental and clinical research. However, manual annotation is time-consu…
Benchmarking ERP Analysis: Manual Features, Deep Learning, and Foundation Models
Yihe Wang, Zhiqiao Kang, Bohan Chen +2
Event-related potential (ERP), a specialized paradigm of electroencephalographic (EEG), reflects neurological responses to external stimuli or events, generally associated with the…
THz mixing of high-order harmonics using nanobridges
Núria Alcalde-Herraiz, Alessia Garibaldi, Karn Rongrueangkul +4
Superconducting materials are a key for technologies enabling a large number of devices including THz wave mixers and single photon detectors, though limited at very low temperatur…
Shared representations in brains and models reveal a two-route cortical organization during scene perception
Pablo Marcos-Manchón, Lluís Fuentemilla
The brain transforms visual inputs into high-dimensional cortical representations that support diverse cognitive and behavioral goals. Characterizing how this information is organi…
A Bayesian Nonparametric Perspective on Mahalanobis Distance for Out of Distribution Detection
Randolph W. Linderman, Noah Cowan, Yiran Chen +1
Bayesian nonparametric methods are naturally suited to the problem of out-of-distribution (OOD) detection. However, these techniques have largely been eschewed in favor of simpler…