Zhuangyu Han

ORCID: 0009-0007-9181-1704
Publications
Citations
Views
---
Saved
---
About
Contact & Profiles
Research Areas
  • Heart Rate Variability and Autonomic Control
  • Ferroelectric and Negative Capacitance Devices
  • Advanced Memory and Neural Computing
  • Photoreceptor and optogenetics research
  • EEG and Brain-Computer Interfaces
  • Neuroscience of respiration and sleep
  • Sleep and Wakefulness Research
  • CCD and CMOS Imaging Sensors
  • Pain Mechanisms and Treatments
  • Neural dynamics and brain function
  • Visual perception and processing mechanisms
  • Tactile and Sensory Interactions
  • Neuroscience and Neuropharmacology Research
  • Neural Networks and Applications
  • Neurotransmitter Receptor Influence on Behavior
  • Neuroscience and Neural Engineering

Washington University in St. Louis
2023-2025

Pennsylvania State University
2023

University of Oxford
1994

Air Force Medical University
1990-1991

1. The properties of a well-defined type GABAergic local circuit neuron, the axo-axonic cell (n = 17), were investigated in rat hippocampal slice preparations. During intracellular recording we injected cells with biocytin and subsequently identified them correlated light electron microscopy. Employing an immunogold-silver intensification technique showed that one physiologically characterized was immunoreactive for gamma-aminobutyric acid (GABA). 2. Axo-axonic encountered dentate gyrus 5)...

10.1152/jn.1994.71.4.1289 article EN Journal of Neurophysiology 1994-04-01

Limitations in chronic pain therapies necessitate novel interventions that are effective, accessible, and safe. Brain-computer interfaces (BCIs) provide a promising modality for targeting neuropathology underlying by converting recorded neural activity into perceivable outputs. Recent evidence suggests increased frontal theta power (4-7 Hz) reflects relief from acute pain. Further studies have suggested vibrotactile stimulation decreases intensity experimental clinical models. This...

10.1038/s41598-024-53261-3 article EN cc-by Scientific Reports 2024-02-10

<title>Abstract</title> While scientific research has extensively explored how the brain integrates touch and pain signals, cerebral processing of specific vibrotactile frequencies remains poorly understood. This gap is particularly significant given clinical evidence that stimulation can reduce in both chronic patients experimental settings. Our study investigated cortical electrophysiological correlates peripheral across different healthy volunteers, with a focus on frequency-dependent...

10.21203/rs.3.rs-6043161/v1 preprint EN cc-by Research Square (Research Square) 2025-02-21

Abstract Limitations in chronic pain therapies necessitate novel interventions that are effective, accessible, and safe. Brain-computer interfaces (BCIs) provide a promising modality for targeting neuropathology underlying by converting recorded neural activity into perceivable outputs. Recent evidence suggests increased frontal theta power (4–7 Hz) reflects relief from acute pain. Further studies have suggested vibrotactile stimulation decreases intensity experimental clinical models. This...

10.21203/rs.3.rs-2973437/v1 preprint EN cc-by Research Square (Research Square) 2023-06-01

While neuromorphic computing architectures based on Spiking Neural Networks (SNNs) are increasingly gaining interest as a pathway toward bio-plausible machine learning, attention is still focused computational units like the neuron and synapse. Shifting from this neuro-synaptic perspective, paper attempts to explore self-repair role of glial cells, in particular, astrocytes. The work investigates stronger correlations with astrocyte neuroscience models develop macro-models higher degree...

10.1609/aaai.v37i6.25947 article EN Proceedings of the AAAI Conference on Artificial Intelligence 2023-06-26

Neuromorphic computing systems, where information is transmitted through action potentials in a bio-plausible fashion, gaining increasing interest due to its promise of low-power event-driven computing. Application neuromorphic robotic locomotion research have largely focused on Central Pattern Generators (CPGs) for bionics control algorithms - inspired from neural circuits governing the collaboration limb muscles animal movement. Implementation artificial CPGs hardware platforms can...

10.48550/arxiv.2312.15805 preprint EN cc-by arXiv (Cornell University) 2023-01-01

While neuromorphic computing architectures based on Spiking Neural Networks (SNNs) are increasingly gaining interest as a pathway toward bio-plausible machine learning, attention is still focused computational units like the neuron and synapse. Shifting from this neuro-synaptic perspective, paper attempts to explore self-repair role of glial cells, in particular, astrocytes. The work investigates stronger correlations with astrocyte neuroscience models develop macro-models higher degree...

10.48550/arxiv.2209.07428 preprint EN cc-by arXiv (Cornell University) 2022-01-01
Coming Soon ...