Building Neural Networks on Carbon Nanotube Substrates Weijian Yang Department of Electrical...
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Building Neural Networks on Carbon Nanotube Substrates Weijian Yang Department of Electrical Engineering and Computer Sciences University of California,
Building Neural Networks on Carbon Nanotube Substrates Weijian
Yang Department of Electrical Engineering and Computer Sciences
University of California, Berkeley, CA, 94720, USA
Slide 2
UC Berkeley2EE 235 Presentation 2 Weijian Yang May 4, 2009 From
Neuron to Neural Networks How do the neurons connect with each
other to form a network? http://www.nih.gov/news/research_ma
tters/july2006/07142006gene.htm http://www.joejoe.org/forum/i
ndex.php?showtopic=7945 Ref. 1, 2 3 um 150 um
Slide 3
UC Berkeley3EE 235 Presentation 2 Weijian Yang May 4, 2009
Outline 1. Nano carbontubes boost neuronal electrical signaling
Viviane Lovat, et.al. Nano Lett., 5, 1107, 2005. 2. Engineering the
neural network with patterned nano carbontubes substrates. Tamir
Gabay, et.al. Physica A, 350, 611, 2005. 3. Outreach Understanding
the brain, from neuron to mind. Harvard Magazine, edited by
Courtney Humphries, May 2009.
Slide 4
UC Berkeley4EE 235 Presentation 2 Weijian Yang May 4, 2009
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
Slide 5
UC Berkeley5EE 235 Presentation 2 Weijian Yang May 4, 2009
Boost Neuronal Electrical Signal Hippocampal neuron growing on
dispersed MWCNT in culture medium. Ref. 1
Slide 6
UC Berkeley6EE 235 Presentation 2 Weijian Yang May 4, 2009
Boost Neuronal Electrical Signal Improve neural signal transfer.
Increase network activity. Reinforce electrical coupling between
neurons. Spontaneous postsynaptic current Membrane potential Ref.
1
Slide 7
UC Berkeley7EE 235 Presentation 2 Weijian Yang May 4, 2009
Pattern the Neuron Network catalyst 150 um MWCNT Ref. 2
Slide 8
UC Berkeley8EE 235 Presentation 2 Weijian Yang May 4, 2009
Network Evolution One hour after cell deposition After 96 hours
Neurons surface mobility and selective adhesion are the driving
mechanism for the well organized placement at the CNT sites. Ref. 2
100 um 150 um
Slide 9
UC Berkeley9EE 235 Presentation 2 Weijian Yang May 4, 2009
Network Evolution 96 hours 128 hours 150 hours 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. Ref. 2 150 um
Slide 10
UC Berkeley10EE 235 Presentation 2 Weijian Yang May 4, 2009
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.
Slide 11
UC Berkeley11EE 235 Presentation 2 Weijian Yang May 4, 2009
Outreach Nanowire is also a good candidate for the research into
neural network. (especially in electrical, chemical, and biological
signal detection.) Ref. 5, 6
Slide 12
UC Berkeley12EE 235 Presentation 2 Weijian Yang May 4, 2009
Reference 1.Viviane Lovat, et.al, Nano Carbontubes Boost Neuronal
Electrical Signaling, Nano Lett., 5, 1107, 2005. 2.Tamir Gabay,
et.al, Engineering the Neural Network with Patterned Nano
Carbontubes Substrates, Physica A, 350, 611, 2005. 3.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. 4.Hui Hu, et. al., Chemically
Functionalized Carbon Nanotubes as Substrates for Neuronal Growth,
Nano Lett., 4, 507, 2004. 5.Fernando Patolsky, et. al. Detection,
Stimulation, and Inhibition of Neuronal Signals with High-Density
Nanowire Transistor Arrays, Science, 313, 1100, 2006.
6.Understanding the brain, from neuron to mind, Harvard Magazine,
edited by Courtney Humphries, May 2009.
Slide 13
UC Berkeley13EE 235 Presentation 2 Weijian Yang May 4, 2009
Thank you!