Title
Computational inferences on alteration of neurotransmission in chemotaxis learning in caenorhabditis elegans
Abstract
Caenorhabditis elegans changes its NaCl-associated behavior from attraction to avoidance following exposure to NaCl in the absence of food (salt chemotaxis learning). To understand the changes induced by chemotaxis learning at the neuronal network level, we modeled a neuronal network of chemotaxis and estimated the changes that occurred in the nervous system by comparing the neuronal connection weights prior to and after chemotaxis learning. Our results revealed that neurotransmission involving ASE and AIA neurons differed prior to and after chemotaxis learning. This partially corresponded to the experimental findings of previous studies. In addition, our computational inference results suggest the involvement of novel synapse connections in chemotaxis learning. Our approach to estimate changes of neurotransmission corresponding to learning may help in planning experiments in order of importance.
Year
DOI
Venue
2010
10.1007/978-3-642-15819-3_38
ICANN (1)
Keywords
Field
DocType
neuronal network,nacl-associated behavior,nervous system,caenorhabditis elegans,aia neuron,neuronal connection weight,neuronal network level,experimental finding,chemotaxis learning,computational inference result,computational neuroscience,neurotransmission
Chemotaxis,Computational neuroscience,Neuroscience,Synapse,Neurotransmission,Computer science,Caenorhabditis elegans,Nervous system,Artificial intelligence,Biological neural network,Machine learning
Conference
Volume
ISSN
ISBN
6352
0302-9743
3-642-15818-8
Citations 
PageRank 
References 
0
0.34
2
Authors
4
Name
Order
Citations
PageRank
Michiyo Suzuki1417.41
Tetsuya Sakashita200.34
Toshio Tsuji3941164.96
Yasuhiko Kobayashi431.16