Bioinspired neuron-like electronics

By X. Yang, Tao Zhou, T. Zwang, Guosong Hong, Yunlong Zhao, Robert D. Viveros, Tian-Ming Fu, Teng Gao, Charles M. Lieber. Nature Materials, 2019

336 citations recorded by the source corpus.

As an important application of functional biomaterials, neural probes have contributed substantially to studying the brain. Bioinspired and biomimetic strategies have begun to be applied to the development of neural probes, although these and previous generations of probes have had structural and mechanical dissimilarities from their neuron targets that lead to neuronal loss, neuroinflammatory responses and measurement instabilities. Here, we present a bioinspired design for neural probes—neuron-like electronics (NeuE)—where the key building blocks mimic the subcellular structural features and mechanical properties of neurons. Full three-dimensional mapping of implanted NeuE–brain interfaces highlights the structural indistinguishability and intimate interpenetration of NeuE and neurons. Time-dependent histology and electrophysiology studies further reveal a structurally and functionally stable interface with the neuronal and glial networks shortly following implantation, thus opening opportunities for next-generation brain–machine interfaces. Finally, the NeuE subcellular structural features are shown to facilitate migration of endogenous neural progenitor cells, thus holding promise as an electrically active platform for transplantation-free regenerative medicine.Neural probes mimicking the size and mechanical properties of neurons interpenetrate the brain tissue, allowing stable single-unit recordings from implantation up to at least three months, and acting as scaffolds for the migration of new-born neurons.

Subfields: Cellular and Molecular Neuroscience, Electrical and Electronic Engineering

View Paper: https://www.semanticscholar.org/paper/8e7a70bb02faa7a6972a886d8c1fbac73da191dd

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Cellular and Molecular Neuroscience

1. Feng Miao
2. Wenhao Song
3. Zhongrui Wang

In Electrical and Electronic Engineering

1. Feng Miao
2. Takashi Taniguchi
3. Wenhao Song
4. Zhongrui Wang

Citations in the corpus

• Gate-tunable van der Waals heterostructure for reconfigurable neural network vision sensor (2020, background): “the specific neuronal activities remain a subject of intensive investigations (3-5).”