Toward Replacement Parts for the Brain: Implantable Biomimetic Electronics as Neural Prostheses by Theodore Berger & Dennis L. Glanzman
Author:Theodore Berger & Dennis L. Glanzman [Berger, Theodore & Glanzman, Dennis L.]
Language: eng
Format: epub
Tags: Neuroscience
ISBN: 9780262025775
Amazon: 0262025779
Publisher: A Bradford Book
Published: 2005-06-24T00:00:00+00:00
208
James J. Hickman
and geometry, growth medium, and cell preparation method are reproducible and
defined. The ability to define these characteristics enables the fabrication and study
of neuronal circuits in a controlled environment. In conjunction with our continuing
patterning work, we have determined some of the possible modes of communication
between cells and constructed models of simple logic circuits to test our hypothesis
that sensors can be based on cell-cell communication.
Patterning Neuronal Circuits
The complete experimental details for the neuronal patterning and electrophysiology
can be found in Ravenscroft et al. (1998). The metal microelectrode recording details
can be found in Jung et al. (1998). The modeling parameters are described here for
clarity.
An analysis of the surface both before and after culture, as well as X-ray photo-
electron spectroscopy imaging of the patterns as the laser conditions were varied,
was crucial to understanding the e¤ect of di¤erent combinations of fabrication
variables. Optimized high-resolution circuit patterns successfully guided the neuronal
adhesion and neurite outgrowth of E18–19 hippocampal neurons in a defined serum-
free medium as shown in figure 10.1A (Ravenscroft et al., 1998).
Neuron 2
spontaneous
evoked
250 pA
250 ms
Neuron 1
Neuron 2
spontaneous
evoked
250 pA
250 ms
Neuron 1
Pattern
Cells obeying pattern region
(a)
(b)
Figure 10.1
(a) Micrograph of circuit-patterned day 2 in vitro hippocampal neurons plated onto DETA/15F modified glass coverslips. (b) Electrophysiology of day 12 in vitro hippocampal neurons displaying both spontaneous and evoked activity on a DETA/15F line-space patterned surface. The top two traces are the control, and the bottom two are from the circuit pattern. Neuron 1, stimulated presynaptic neuron. Neuron 2, postsynaptic neuron.
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