Benjamin Auffarth
Affiliations: | csc | KTH Royal Institute of Technology, Stockholm, Stockholms län, Sweden |
Area:
Visual System, olfactionWebsite:
http://www.csc.kth.se/~auffarth/Google:
"Benjamin Auffarth"Mean distance: 15.63 (cluster 17) | S | N | B | C | P |
Cross-listing: Computational Biology Tree
Parents
Sign in to add mentor| Peter König | research assistant | 2006-2006 | University of Barcelona |
| Anders Lansner | grad student | KTH Royal Institute of Technology | |
| Panagiota Poirazi | post-doc | Foundation for Research and Technology Hellas (FORTH) | |
| Michael Schmuker | post-doc | FU Berlin |
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Publications
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| Kumar R, Kaur R, Auffarth B, et al. (2015) Understanding the Odour Spaces: A Step towards Solving Olfactory Stimulus-Percept Problem. Plos One. 10: e0141263 |
| Auffarth B. (2013) Understanding smell--the olfactory stimulus problem. Neuroscience and Biobehavioral Reviews. 37: 1667-79 |
| Auffarth B, Kaplan B, Lansner A. (2011) Map formation in the olfactory bulb by axon guidance of olfactory neurons. Frontiers in Systems Neuroscience. 5: 84 |
| Auffarth B, Gutierrez-Galvez A, Marco S. (2011) Continuous Spatial Representations in the Olfactory Bulb may Reflect Perceptual Categories. Frontiers in Systems Neuroscience. 5: 82 |
| Auffarth B, Gutierrez-Galvez A, Marco S. (2011) Statistical analysis of coding for molecular properties in the olfactory bulb. Frontiers in Systems Neuroscience. 5: 62 |
| Auffarth B. (2010) Clustering by a genetic algorithm with biased mutation operator 2010 Ieee World Congress On Computational Intelligence, Wcci 2010 - 2010 Ieee Congress On Evolutionary Computation, Cec 2010 |
| Auffarth B, López M, Cerquides J. (2010) Comparison of redundancy and relevance measures for feature selection in tissue classification of CT images Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 6171: 248-262 |
| Auffarth B, Gutierrez-Galvez A, Marco S. (2010) Relevance and LOCI of odorant features in the rat olfactory bulb: Statistical methods for understanding olfactory codes in glomerular images Biosignals 2010 - Proceedings of the 3rd International Conference On Bio-Inpsired Systems and Signal Processing, Proceedings. 37-44 |
| Falasconi M, Gutierrez A, Auffarth B, et al. (2009) Cluster analysis of the rat olfactory bulb activity in response to different odorants Aip Conference Proceedings. 1137: 169-172 |
| Auffarth B, López M, Cerquides J. (2008) Hopfield networks in relevance and redundancy feature selection applied to classification of biomedical high-resolution micro-CT images Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 5077: 16-31 |