Graphene Probes for Detecting Electrical Activity of Individual Synapses
ORAL
Abstract
Complex neural circuits connected by billions of neurons with trillions of synapses require techniques that map the electrical activity of neural networks with extraordinary temporal and spatial resolution to decipher the underlying mechanisms for multiple aspects of neuroscience. By combining graphene transistors with scanning photocurrent microscopy, we can detect the local electrochemical environment changes induced by electrical activity of individual synapses of primitive hippocampal neurons, enabling us to estimate extracellular potential variations of individual synapses during depolarization. The ultrafast nature of graphene photocurrent response allows decoding of the activity patterns of individual synapses with sub-millisecond temporal resolution. As such, our new neurotechnology will offer promising potential for recording the electrical signals of a large population of synapses in neural networks.
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Presenters
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Yuchen Zhang
Vanderbilt University
Authors
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Yuchen Zhang
Vanderbilt University
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Rui Wang
Vanderbilt University
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Mingjian Shi
Vanderbilt University
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Bryson Brewer
Vanderbilt University
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Lijie Yang
Vanderbilt University
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Donna Webb
Vanderbilt University
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Deyu Li
Vanderbilt University
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Yaqiong Xu
Vanderbilt University