Title
Characterizing the Input-Output Function of the Olfactory-Limbic Pathway in the Guinea Pig.
Abstract
Nowadays the neuroscientific community is taking more and more advantage of the continuous interaction between engineers and computational neuroscientists in order to develop neuroprostheses aimed at replacing damaged brain areas with artificial devices. To this end, a technological effort is required to develop neural network models which can be fed with the recorded electrophysiological patterns to yield the correct brain stimulation to recover the desired functions. In this paper we present a machine learning approach to derive the input-output function of the olfactory-limbic pathway in the in vitro whole brain of guinea pig, less complex and more controllable than an in vivo system. We first experimentally characterized the neuronal pathway by delivering different sets of electrical stimuli from the lateral olfactory tract (LOT) and by recording the corresponding responses in the lateral entorhinal cortex (l-ERC). As a second step, we used information theory to evaluate how much information output features carry about the input. Finally we used the acquired data to learn the LOT-l-ERC "I/O function," by means of the kernel regularized least squares method, able to predict l-ERC responses on the basis of LOT stimulation features. Our modeling approach can be further exploited for brain prostheses applications.
Year
DOI
Venue
2015
10.1155/2015/359590
COMPUTATIONAL INTELLIGENCE AND NEUROSCIENCE
Field
DocType
Volume
Brain mapping,Olfactory system,Neuroscience,Brain stimulation,Computer science,Entorhinal cortex,Input/output,Artificial intelligence,Stimulus (physiology),Artificial neural network,Information theory,Pattern recognition,Machine learning
Journal
2015
ISSN
Citations 
PageRank 
1687-5265
0
0.34
References 
Authors
2
7
Name
Order
Citations
PageRank
Gian Luca Breschi100.34
Carlo Ciliberto212016.14
Thierry Nieus3253.56
Lorenzo Rosasco4107082.90
Stefano Taverna500.34
Michela Chiappalone66110.06
Valentina Pasquale7233.66