A5057951339- Smart Grid Energy Management
- Building Energy and Comfort Optimization
- Receptor Mechanisms and Signaling
- Context-Aware Activity Recognition Systems
- Neural dynamics and brain function
- Neuroscience and Neuropharmacology Research
- Marine animal studies overview
- Morphological variations and asymmetry
- Animal Behavior and Reproduction
- Animal Vocal Communication and Behavior
- Zebrafish Biomedical Research Applications
- Cell Image Analysis Techniques
- Control Systems and Identification
- Environmental Education and Sustainability
- Noise Effects and Management
- Indoor and Outdoor Localization Technologies
- Optical Polarization and Ellipsometry
- Data Analysis with R
- Green IT and Sustainability
- Mobile Crowdsensing and Crowdsourcing
- Bluetooth and Wireless Communication Technologies
- Functional Brain Connectivity Studies
- Neurogenesis and neuroplasticity mechanisms
- Fault Detection and Control Systems
- Memory and Neural Mechanisms
St. Jude Children's Research Hospital
2024
The University of Texas at San Antonio
2017-2020
Neurosciences Institute
2012-2020
University of Louisville
2011-2018
University of Louisville Hospital
2013
Abstract The in vivo firing patterns of ventral midbrain dopamine neurons are controlled by afferent and intrinsic activity to generate sensory cue prediction error signals that essential for reward-based learning. Given the absence intracellular recordings during last three decades, subthreshold membrane potential events cause changes neuron remain unknown. To address this, we established whole-cell obtained over 100 spontaneously active, immunocytochemically-defined...
SUMMARY Neural circuits in the spinal cord are composed of diverse sets interneurons that play crucial roles shaping motor output. Despite progress revealing cellular architecture cord, extent cell type heterogeneity within interneuron populations remains unclear. Here, we present a single-nucleus transcriptomic atlas V1 across postnatal development. We find core molecular taxonomy distinguishing neonatal perdures into adulthood, suggesting conservation function Moreover, identify key role...
Various intrusive and nonintrusive appliance load monitoring classification systems have been studied; however, most of them designed so far provide group-level energy usage feedback. We present the first phase a system with potential to attribute energy-related events an individual occupant space occupant-specific feedback in uninstrumented (e.g., home or office). This initial focuses on collecting electromagnetic field (EMF) radiated by several common appliances determine unique signature...
Motor output results from the coordinated activity of neural circuits distributed across multiple brain regions that convey information to spinal cord via descending motor pathways. Yet organizational logic through which supraspinal systems target discrete components remains unclear. Here, using viral transsynaptic tracing along with serial two-photon tomography, we have generated a whole-brain map monosynaptic inputs V1 interneurons, major inhibitory population involved in control. We...
Abstract The firing pattern of ventral midbrain dopamine neurons is controlled by afferent and intrinsic activity to generate prediction error signals that are essential for reward-based learning. Given the absence intracellular in vivo recordings last three decades, subthreshold membrane potential events cause changes neuron patterns remain unknown. By establishing stable whole-cell >100 spontaneously active anaesthetized mice, we identified repertoire signatures associated with distinct...
This paper explores the feasibility of using a mobile electromagnetic field (EMF) sensor for appliance identification. uses EMF radiated by appliances as signature It has been prototyped and implemented data collection. Our will be used occupant-specific energy measurement in later phase project. phase, however, focuses on signal extraction identification appliances. Using from sensor, we compared performances k-Nearest Neighbors (k-NN), Support Vector Machines (SVM), Naïve Bayes classifiers...
song A. Transition diagram for single BF
Abstract In the field of songbird neuroscience, researchers have used playback aversive noise bursts to drive changes in song behavior for specific syllables within a bird’s song. Typically, short (~5-10 msec) slice syllable is selected targeting and average spectrum as template. Sounds that are sufficiently close template considered match. If other portions spectrally similar target, false positive errors will weaken operant contingency. We present gradient descent method optimization...
In the field of songbird neuroscience, researchers have used playback aversive noise bursts to drive changes in song behavior for specific syllables within a bird’s song. Typically, short (~5–10 msec) slice syllable is selected targeting and average spectrum as template. Sounds that are sufficiently close template considered match. If other portions spectrally similar target, false positive errors will weaken operant contingency. We present gradient descent method optimization increases...