Self-sustained green neuromorphic interfaces

Incorporating neuromorphic electronics in bioelectronic interfaces can provide intelligent responsiveness to environments. However, the signal mismatch between the environmental stimuli and driving amplitude in neuromorphic devices has limited the functional versatility and energy sustainability. Here we demonstrate multifunctional, self-sustained neuromorphic interfaces by achieving signal matching at the biological level. The advances rely on the unique properties of microbially produced protein nanowires, which enable both bio-amplitude (e.g., <100 mV) signal processing and energy harvesting from ambient humidity. Integrating protein nanowire-based sensors, energy devices and memristors of bio-amplitude functions yields flexible, self-powered neuromorphic interfaces that can intelligently interpret biologically relevant stimuli for smart responses. These features, coupled with the fact that protein nanowires are a green biomaterial of potential diverse functionalities, take the interfaces a step closer to biological integration.

[1]  Peng Lin,et al.  Fully memristive neural networks for pattern classification with unsupervised learning , 2018 .

[2]  Y. Chai,et al.  Stretchable elastic synaptic transistors for neurologically integrated soft engineering systems , 2019, Science Advances.

[3]  Yeongjun Lee,et al.  Flexible Neuromorphic Electronics for Computing, Soft Robotics, and Neuroprosthetics , 2019, Advanced materials.

[4]  J. Joshua Yang,et al.  Bioinspired bio-voltage memristors , 2020, Nature Communications.

[5]  James M. Tour,et al.  In situ imaging of the conducting filament in a silicon oxide resistive switch , 2012, Scientific reports.

[6]  R. Waser,et al.  Nanoionics-based resistive switching memories. , 2007, Nature materials.

[7]  Huanyu Cheng,et al.  A Physically Transient Form of Silicon Electronics , 2012, Science.

[8]  Xiaomeng Liu,et al.  Bioinspired and bristled microparticles for ultrasensitive pressure and strain sensors , 2018, Nature Communications.

[9]  Wei D. Lu,et al.  Memristor networks for real-time neural activity analysis , 2020, Nature Communications.

[10]  Derek R. Lovley,et al.  Bioelectronic protein nanowire sensors for ammonia detection , 2020, Nano Research.

[11]  Kang L. Wang,et al.  Resistive switching materials for information processing , 2020, Nature Reviews Materials.

[12]  Woonghee Lee,et al.  Nanogenerator-induced synaptic plasticity and metaplasticity of bio-realistic artificial synapses , 2017 .

[13]  D. Lovley,et al.  Geobacter Protein Nanowires , 2019, Front. Microbiol..

[14]  J. Yang,et al.  Threshold Switching of Ag or Cu in Dielectrics: Materials, Mechanism, and Applications , 2018 .

[15]  B. Tian,et al.  Inorganic semiconductor biointerfaces , 2018, Nature Reviews Materials.

[16]  B. Bean The action potential in mammalian central neurons , 2007, Nature Reviews Neuroscience.

[17]  J. Lloyd,et al.  Formation of Nanoscale Elemental Silver Particles via Enzymatic Reduction by Geobacter sulfurreducens , 2008, Applied and Environmental Microbiology.

[18]  Derek R. Lovley,et al.  Structural Basis for Metallic-Like Conductivity in Microbial Nanowires , 2015, mBio.

[19]  Zhenan Bao,et al.  Self-healing soft electronics , 2019, Nature Electronics.

[20]  Guosong Hong,et al.  Bioinspired Materials for In Vivo Bioelectronic Neural Interfaces. , 2020, Matter.

[21]  Yunlong Zi,et al.  Nanogenerators: An emerging technology towards nanoenergy , 2017 .

[22]  J. Tour,et al.  Resistive switches and memories from silicon oxide. , 2010, Nano letters.

[23]  D. Lovley,et al.  Decorating the Outer Surface of Microbially Produced Protein Nanowires with Peptides. , 2019, ACS synthetic biology.

[24]  T. Mehta,et al.  Extracellular electron transfer via microbial nanowires , 2005, Nature.

[25]  Xiaocheng Jiang,et al.  Living electronics , 2019, Nano Research.

[26]  D. Lovley,et al.  Power generation from ambient humidity using protein nanowires , 2020, Nature.

[27]  Huaqiang Wu,et al.  An artificial nociceptor based on a diffusive memristor , 2018, Nature Communications.

[28]  Xiaodong Chen,et al.  Artificial Sensory Memory , 2019, Advanced materials.

[29]  D. Lovley,et al.  Intrinsically Conductive Microbial Nanowires for 'Green' Electronics with Novel Functions. , 2021, Trends in biotechnology.

[30]  D. Lovley,et al.  Multifunctional Protein Nanowire Humidity Sensors for Green Wearable Electronics , 2020, Advanced Electronic Materials.

[31]  Jin-Woo Han,et al.  Capacitive neural network with neuro-transistors , 2018, Nature Communications.

[32]  Derek R Lovley,et al.  e-Biologics: Fabrication of Sustainable Electronics with “Green” Biological Materials , 2017, mBio.

[33]  D. Ginty,et al.  The Sensory Neurons of Touch , 2013, Neuron.

[34]  Kewang Nan,et al.  Cyborg Organoids: Implantation of Nanoelectronics via Organogenesis for Tissue-Wide Electrophysiology , 2019, bioRxiv.

[35]  Qiangfei Xia,et al.  An artificial spiking afferent nerve based on Mott memristors for neurorobotics , 2020, Nature Communications.

[36]  Zhenan Bao,et al.  A bioinspired flexible organic artificial afferent nerve , 2018, Science.

[37]  Zhenan Bao,et al.  Pursuing prosthetic electronic skin. , 2016, Nature materials.

[38]  Wei Lu,et al.  The future of electronics based on memristive systems , 2018, Nature Electronics.