690 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- National Institutes of HealthUS46 papers
- Seoul National UniversityKR5 papers
- Korea Institute for Advanced StudyKR4 papers
- Quảng Bình UniversityVN4 papers
- The University of Texas at AustinUS4 papers
- Keimyung UniversityKR3 papers
- Lehigh UniversityUS3 papers
- Princeton UniversityUS3 papers
- University at Buffalo, State University of New YorkUS3 papers
- University of ViennaAT3 papers
- Asia Pacific Center for Theoretical PhysicsKR2 papers
- Centre National de la Recherche ScientifiqueFR2 papers
5 papers · 1 filter
Decoding Neural Responses in Mouse Visual Cortex through a Deep Neural Network
Asim Iqbal, Phil Dong, Christopher M Kim +1
Finding a code to unravel the population of neural responses that leads to a distinct animal behavior has been a long-standing question in the field of neuroscience. With the recen…
Inverse Ising inference from high-temperature re-weighting of observations
Junghyo Jo, Danh-Tai Hoang, Vipul Periwal
Maximum Likelihood Estimation (MLE) is the bread and butter of system inference for stochastic systems. In some generality, MLE will converge to the correct model in the infinite d…
Molecular free energy profiles from force spectroscopy experiments by inversion of observed committors
Roberto Covino, Michael T. Woodside, Gerhard Hummer +2
In single-molecule force spectroscopy experiments, a biomolecule is attached to a force probe via polymer linkers, and the total extension -- of molecule plus apparatus -- is monit…
Mapping the Human Body at Cellular Resolution -- The NIH Common Fund Human BioMolecular Atlas Program
Michael P Snyder, Shin Lin, Amanda Posgai +22
Transformative technologies are enabling the construction of three dimensional (3D) maps of tissues with unprecedented spatial and molecular resolution. Over the next seven years,…
Data-driven inference of hidden nodes in networks
Danh-Tai Hoang, Junghyo Jo, Vipul Periwal
The explosion of activity in finding interactions in complex systems is driven by availability of copious observations of complex natural systems. However, such systems, e.g. the h…