Title
Interfacing with patterned in vitro neural networks by means of hybrid glass-elastomer neurovectors: progress on neuron placement, neurite outgrowth and biopotential measurements
Abstract
In order to extract learning algorithms from living neural aggregates it would be advantageous to achieve one-to-one neuron-electrode interfacing with in vitro networks. Towards this goal, we have developed a hybrid glass-elastomer technology, which allows topology specification in small networks (of the order of 10 neurons) and recording of extracellular potentials from individual neurites grown through microfluidic channels. Here we report on progress towards adhesion-free placement of cells within microwells, promotion of neurite growth and recording of intra-channel extracellular spikes.
Year
DOI
Venue
2005
10.1007/11494669_53
IWANN
Keywords
Field
DocType
vitro neural network,hybrid glass-elastomer technology,adhesion-free placement,biopotential measurement,individual neurites,neural aggregate,neurite outgrowth,neurite growth,hybrid glass-elastomer neurovectors,extracellular potential,neuron placement,one-to-one neuron-electrode,intra-channel extracellular spike,microfluidic channel,small network,neural network
Biomedical engineering,Computer science,Biomimetics,Interfacing,Network topology,Artificial intelligence,Neurite,Artificial neural network,Neuron,Multielectrode array,Elastomer,Distributed computing
Conference
Volume
ISSN
ISBN
3512
0302-9743
3-540-26208-3
Citations 
PageRank 
References 
0
0.34
1
Authors
3
Name
Order
Citations
PageRank
Enric Claverol-Tinturé100.34
Xavier Rosell221.12
joan cabestany31276143.82