A5046403141- Neuroscience and Neural Engineering
- Advanced Memory and Neural Computing
- Photoreceptor and optogenetics research
- Characterization and Applications of Magnetic Nanoparticles
- Diamond and Carbon-based Materials Research
- Neural dynamics and brain function
- Nanowire Synthesis and Applications
- Magnetic and transport properties of perovskites and related materials
- NMR spectroscopy and applications
- Advanced MRI Techniques and Applications
- Fungal Biology and Applications
- EEG and Brain-Computer Interfaces
- Magnetic properties of thin films
- Advanced Neuroimaging Techniques and Applications
- Microbial Natural Products and Biosynthesis
- Multiferroics and related materials
- Fungal and yeast genetics research
- Analytical Chemistry and Sensors
- Semiconductor materials and devices
University of Wisconsin–Madison
2022-2024
Wisconsin Institutes for Discovery
2022-2024
In the filamentous fungus Aspergillus nidulans, velvet family protein VeA and global regulator of secondary metabolism LaeA govern development mostly by acting as VelB/VeA/LaeA heterotrimeric complex. While functions these highly conserved controllers have been well studied, genome-wide regulatory networks governing cellular chemical remain to be uncovered. Here, integrating transcriptomic analyses, protein-DNA interactions, known A. nidulans gene/protein interaction data, we unraveled gene...
Abstract Magnetoelectric materials hold untapped potential to revolutionize biomedical technologies. Sensing of biophysical processes in the brain is a particularly attractive application, with prospect using magnetoelectric nanoparticles (MENPs) as injectable agents for rapid brain-wide modulation and recording. Recent studies have demonstrated wireless stimulation vivo MENPs synthesized from cobalt ferrite (CFO) cores coated piezoelectric barium titanate (BTO) shells. CFO–BTO core–shell...
Processing neural activity to reconstruct network connectivity is a central focus of neuroscience, yet the spatiotemporal requisites biological nervous systems are challenging for current neuronal sensing modalities. Consequently, methods that leverage limited data successfully infer synaptic connections, predict at single unit resolution, and decipher their effect on whole systems, can uncover critical information about processing. Despite emergence powerful inferring connectivity,...
Nitrogen Vacancy diamond nanoparticles (NVNPs) are increasingly integrated with methods for optical detection of magnetic resonance (ODMR), providing new opportunities in characterization that span the visualization fields microelectronic circuits, environmental sensing and biology. However, only a small number studies utilize aggregates NVNPs surface-wide magnetometry being spin orientations aggregate inherently misaligned, precluding their use proper field compared expensive...
Wireless brain technologies are empowering basic neuroscience and clinical neurology by offering new platforms that minimize invasiveness refine possibilities during electrophysiological recording stimulation. Despite their advantages, most systems require on-board power supply sizeable transmission circuitry, enforcing a lower bound for miniaturization. Designing minimalistic architectures can efficiently sense neurophysiological events will open the door to standalone microscale sensors...
Abstract Circuit-integrated electromagnets are fundamental building blocks for on-chip signal transduction, modulation, and tunability, with specific applications in environmental biomedical micromagnetometry. A primary challenge improving performance is pushing quality limitations while minimizing size fabrication complexity retaining spatial capabilities. Recent efforts have exploited highly involved three-dimensional synthesis, advanced insulation, exotic material compositions. Here, we...
We introduce a new concept for reverse engineering silent neuronal networks using supervised learning algorithm combined with stimulation. quantify the performance of and precision deriving synaptic weights in inhibitory excitatory subpopulations. then show that stimulation enables deciphering connectivity heterogeneous circuits fed real electrode array recordings, which could extend future to broad biological artificial neural networks.
Electrophysiological recordings from brain cells are performed routinely using implanted electrodes, but they traditionally require a wired connection to the outside of brain. A completely passive, wireless device that does not on-board power for active transmission still facilitates remote detection could open door mass-scale direct recording action potentials and transform way we acquire signals. We present nanofabricated coil forms neuroelectromagnetic junction, yielding highly enhanced...
Abstract Wireless brain technologies are empowering basic neuroscience and clinical neurology by offering new platforms that minimize invasiveness refine possibilities during electrophysiological recording stimulation. Despite their advantages, most systems require on-board power supply sizeable transmission circuitry, enforcing a lower bound for miniaturization. Designing minimalistic architectures can efficiently sense neurophysiological events will open the door to standalone microscale...
We aim to verify predictions showing T