900 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- Harvard UniversityUS27 papers
- Massachusetts Institute of TechnologyUS4 papers
- California Institute of TechnologyUS3 papers
- Institute of Materials Research and EngineeringSG3 papers
- Stanford UniversityUS3 papers
- Aalto UniversityFI2 papers
- Centre National de la Recherche ScientifiqueFR2 papers
- GulliverFR2 papers
- Howard Hughes Medical InstituteUS2 papers
- MIT Media LabUS2 papers
- National Research CouncilLK2 papers
- New York UniversityUS2 papers
5 papers · 1 filter
Optimal control of plate shape with incompatible strain fields
Gareth Wyn Jones, L. Mahadevan
A flat plate can bend into a curved surface if it experiences an inhomogeneous growth field. In this article a method is described that numerically determines the optimal growth fi…
Dynamic Balance of Excitation and Inhibition in Human and Monkey Neocortex
Nima Dehghani, Adrien Peyrache, Bartosz Telenczuk +5
Balance of excitation and inhibition is a fundamental feature of in vivo network activity and is important for its computations. However, its presence in the neocortex of higher ma…
Hierarchical structural control of visual properties in self-assembled photonic-plasmonic pigments
Natalie Koay, Ian B. Burgess, Theresa M. Kay +10
We present a simple one-pot co-assembly method for the synthesis of hierarchically structured pigment particles consisting of silica inverse-opal bricks that are doped with plasmon…
Feedback induced phase transitions in active porous media
Samuel A. Ocko, L. Mahadevan
Flow through passive porous media is typically described in terms of a linear theory relating current fluxes and driving forces, in the presence of a prescribed heterogeneous perme…
Spatial Information in Large-Scale Neural Recordings
Thaddeus R. Cybulski, Joshua I. Glaser, Adam H. Marblestone +4
A central issue in neural recording is that of distinguishing the activities of many neurons. Here, we develop a framework, based on Fisher information, to quantify how separable a…