A computational model of conditioning inspired by Drosophila olfactory system

F Faghihi, AA Moustafa, R Heinrich, F Wörgötter - Neural Networks, 2017 - Elsevier
Recent studies have demonstrated that Drosophila melanogaster (briefly Drosophila) can
successfully perform higher cognitive processes including second order olfactory …

Reading out olfactory receptors: feedforward circuits detect odors in mixtures without demixing

A Mathis, D Rokni, V Kapoor, M Bethge, VN Murthy - Neuron, 2016 - cell.com
The olfactory system, like other sensory systems, can detect specific stimuli of interest amidst
complex, varying backgrounds. To gain insight into the neural mechanisms underlying this …

Machine Intelligence Based Assessment of Nutritional Olfactory Features for Controlling Health Hazards Using Electronic Nose

DD Patil, DA Meshram - … Gestão Social E …, 2023 - rgsa.openaccesspublications.org
Purpose: Purpose of this research is to carry out a machine learning intelligence based
innovative method to determine quality of food which may be hazards to health if consumed …

Neuronal sequence models for Bayesian online inference

S Frölich, D Marković, SJ Kiebel - Frontiers in Artificial Intelligence, 2021 - frontiersin.org
Various imaging and electrophysiological studies in a number of different species and brain
regions have revealed that neuronal dynamics associated with diverse behavioral patterns …

Graphics processing unit-accelerated code for computing second-order wiener kernels and spike-triggered covariance

O Mano, DA Clark - PloS one, 2017 - journals.plos.org
Sensory neuroscience seeks to understand and predict how sensory neurons respond to
stimuli. Nonlinear components of neural responses are frequently characterized by the …