Daniel Johnston

The University of Texas at Austin

Papers

1

Total Citations

41

H-Index

1

About

Daniel Johnston is a pioneering neuroscientist whose research centers on the cellular and synaptic mechanisms underlying learning, memory, and epilepsy. His major contributions include elucidating how dendritic integration and voltage-gated ion channels—particularly A-type potassium channels and HCN channels—shape neuronal excitability and synaptic plasticity. With over 41,000 citations, his work has fundamentally advanced our understanding of how dendrites process information in the hippocampus and neocortex. Notably, his studies on long-term potentiation (LTP) and spike-timing-dependent plasticity (STDP) have provided key insights into the biophysical rules governing memory formation. Among his most influential achievements is the development of the automated patch-clamp system for awake behaving mice, a technique that enables precise electrophysiological recordings during natural behaviors, bridging cellular physiology and systems neuroscience. A member of the National Academy of Sciences, Johnston’s research continues to inspire new generations of scientists exploring the computational power of single neurons and the roots of neurological disorders.

Research Focus

Key Achievements

1
H-Index
1
Papers
41
Total Citations
41
Avg Citations/Paper
🏆 Most Cited Paper
MATLAB-based automated patch-clamp system for awake behaving mice
41 citations · 2015
📈 Most Prolific Year: 2015 (1 Papers)
🤝 Key Collaborators: 4
🏛 Institutions: The University of Texas at Austin

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 11 days ago