Work
A recurrent neural network-based framework to non-linearly model behaviorally relevant neural dynamics
A key objective of several neuroscience studies is to understand and model how the dynamics of distinct populations of neurons give rise to specific human and animal behaviors. Many existing methods...
Direct measurement of a subtle current phase relation shows potential for more stable superconducting qubits
In recent years, quantum physicists and engineers have made significant strides toward the development of highly performing quantum computing systems. Realizing a quantum advantage over classical...
Neurons in mouse piriform cortex aid in recurrent circuit development, study finds
The activity of neurons in the mammalian brain is known to contribute to the development of the brain at the early stages of development. While past neuroscientific studies have gathered evidence...
A new model for symbolic music generation using musical metadata
Artificial intelligence (AI) has opened new interesting opportunities for the music industry, for instance, enabling the development of tools that can automatically generate musical compositions or...
Research suggests myelin fatty acid metabolism could serve as an energy reserve for the central nervous system
The brains of mammals expend a significant amount of energy in the form of adenosine triphosphate (ATP). This is the molecule that cells use to transfer energy, ultimately fueling several biological...
Study sheds light on the paths leading to the degradation of layered Li-rich oxide cathodes
In recent years, researchers have been trying to develop increasingly advanced battery technologies that can store more energy, recharge faster, discharge slower, and have longer lifespans. To...
Shape-morphing brain sensor adheres to curved surfaces for ultrasound neurostimulation
Transcranial focused ultrasound, a non-invasive technique to stimulate specific areas of the brain using high-frequency sound waves, could be a promising treatment strategy for many neurological...
LiDAR-based system allows unmanned aerial vehicle team to rapidly reconstruct environments
Unmanned aerial vehicles (UAVs), commonly known as drones, have proved to be highly effective systems for monitoring and exploring environments. These autonomous flying robots could also be used to...
A versatile approach to realize quantum-enhanced metrology with large Fock states
Team studies the emergence of fluctuating hydrodynamics in chaotic quantum systems
Researchers at Ludwig-Maximilians-Universität, Max-Planck-Institut für Quantenoptik, Munich Center for Quantum Science and Technology (MCQST) and the University of Massachusetts recently carried out...