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Building Neural Networks on Carbon Nanotube Substrates

Building Neural Networks on Carbon Nanotube Substrates. Weijian Yang Department of Electrical Engineering and Computer Sciences University of California, Berkeley, CA, 94720, USA. From Neuron to Neural Networks. How do the neurons connect with each other to form a network?.

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Building Neural Networks on Carbon Nanotube Substrates

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  1. Building Neural Networks on Carbon Nanotube Substrates Weijian Yang Department of Electrical Engineering and Computer Sciences University of California, Berkeley, CA, 94720, USA

  2. From Neuron to Neural Networks • How do the neurons connect with each other to form a network? http://www.nih.gov/news/research_matters/july2006/07142006gene.htm http://www.joejoe.org/forum/index.php?showtopic=7945 3 um 150 um • Ref. 1, 2

  3. Outline • 1. Nanocarbontubes boost neuronal electrical signaling • Viviane Lovat, et.al. Nano Lett., 5, 1107, 2005. • 2. Engineering the neural network with patterned nanocarbontubes substrates. • TamirGabay, et.al. Physica A, 350, 611, 2005. • 3. Outreach • Understanding the brain, from neuron to mind. Harvard Magazine, edited by Courtney Humphries, May 2009.

  4. Carbon Nanotubes as Substrates • Why carbon nanotubes? • Surface texture at the scale of ~10 to ~100 nm, aspect ratio similar to the nerve fiber. • High electrical conductivity. • Strong mechanical strength. • Chemical functionalization. Good biocompatibility! • Ref. 1-4

  5. Boost Neuronal Electrical Signal • Hippocampal neuron growing on dispersed MWCNT in culture medium. • Ref. 1

  6. Boost Neuronal Electrical Signal • Improve neural signal transfer. • Increase network activity. • Reinforce electrical coupling between neurons. Spontaneous postsynaptic current Membrane potential • Ref. 1

  7. Pattern the Neuron Network catalyst 150 um MWCNT • Ref. 2

  8. Network Evolution 100 um 150 um One hour after cell deposition After 96 hours • Ref. 2 Neurons’ surface mobility and selective adhesion are the driving mechanism for the well organized placement at the CNT sites.

  9. Network Evolution • A single link is formed between the two nearest neighbors. • Connection is reinforced with respect to time. • A bundle is eventually formed to establish a tensed link between two islands. 96 hours 128 hours 150 um 150 hours • Ref. 2

  10. Summary • Carbon nanotubes are highly biocompatible for neural network. (surface morphology, electrical, mechanical and chemical properties.) • Well defined engineered cultured neural systems can be formed on high density carbon nanotube islands. • A powerful platform to study neuronal adhesion, neurite outgrowth, and the neural network.

  11. Outreach • Nanowire is also a good candidate for the research into neural network. (especially in electrical, chemical, and biological signal detection.) • Ref. 5, 6

  12. Reference • Viviane Lovat, et.al, “NanoCarbontubes Boost Neuronal Electrical Signaling,” Nano Lett., 5, 1107, 2005. • TamirGabay, et.al, “Engineering the Neural Network with Patterned NanoCarbontubes Substrates,” Physica A, 350, 611, 2005. • Miguel A. Correa-Duarte, et. al, “Fabrication and Biocompatibility of Carbon Nanotube-Based 3D Networks as Scaffolds for Cell Seeding and Growth,” Nano Lett., 4, 2233, 2004. • HuiHu, et. al., “Chemically Functionalized Carbon Nanotubes as Substrates for Neuronal Growth,” Nano Lett., 4, 507, 2004. • Fernando Patolsky, et. al. “Detection, Stimulation, and Inhibition of Neuronal Signals with High-Density Nanowire Transistor Arrays,” Science, 313, 1100, 2006. • “Understanding the brain, from neuron to mind,” Harvard Magazine, edited by Courtney Humphries, May 2009.

  13. Thank you! Thank you!

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