Papers

2

Total Citations

141

H-Index

2

About

Annabelle C. Singer is a pioneering neuroscientist whose work bridges engineering and systems neuroscience to unravel the inner workings of neural circuits. Her primary research focuses on developing cutting-edge tools for intracellular recording in living animals, enabling unprecedented access to the subthreshold dynamics that drive neuronal computation. Singer’s most impactful contributions include the invention of the “autopatcher,” a robotic system that automates the delicate process of intracellular recording in vivo. This breakthrough, detailed in her 2016 paper (71 citations), dramatically increases the throughput and reproducibility of single-neuron recordings. She further advanced the field by demonstrating multi-neuron intracellular recording using interacting autopatching robots (2018, 70 citations), allowing simultaneous observation of synaptic inputs and membrane potentials across a small network—a feat previously impossible with traditional extracellular methods. Her work has profound implications for understanding how circuit-level activities contribute to behavior and neurological disorders. With over 140 citations across these key papers, Singer’s innovations are shaping the future of neurotechnology, offering researchers a powerful new lens to explore the intracellular basis of brain function.

Research Focus

Key Achievements

2
H-Index
2
Papers
141
Total Citations
71
Avg Citations/Paper
🏆 Most Cited Paper
Assembly and operation of the autopatcher for automated intracellular neural recording in vivo
71 citations · 2016
📈 Most Prolific Year: 2016 (1 Papers)
🤝 Key Collaborators: 10
🏛 Institutions: Institute of Cognitive and Brain Sciences, Georgia Institute of Technology

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 12 days ago