Sylvester Gates

ORCID: 0000-0003-2716-960X
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About
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Research Areas
  • Endoplasmic Reticulum Stress and Disease
  • Neural Networks and Applications
  • Nuclear Physics and Applications
  • CCD and CMOS Imaging Sensors
  • Advanced Electron Microscopy Techniques and Applications
  • Neuroscience and Neural Engineering
  • Photoreceptor and optogenetics research
  • Electron and X-Ray Spectroscopy Techniques
  • Infrared Target Detection Methodologies
  • Neural dynamics and brain function
  • Pancreatic function and diabetes
  • Microfluidic and Bio-sensing Technologies
  • Modular Robots and Swarm Intelligence

This study explores collective learning in living neural networks, focusing on group-to-group Hebbian learning, i.e., strengthening and weakening of links dependent the precise timing their activities. While neuronal plasticity is now well understood for single pairs neurons, recent research has demonstrated that groups tens neurons are required to encode information mammalian brains. Thus, it critical understand how mechanisms plasticity, particular spike-timing-dependent (STDP) operate at...

10.1101/2025.03.03.641104 preprint EN bioRxiv (Cold Spring Harbor Laboratory) 2025-03-10
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