Thomas Miconi
Affiliations: | The Neurosciences Institute, San Diego, CA, United States |
Area:
Computational neuroscience, visual system, attentionGoogle:
"Thomas Miconi"Mean distance: 13.72 (cluster 29) | S | N | B | C | P |
Parents
Sign in to add mentorAlastair Channon | grad student | Harvard Medical School | |
Gabriel Kreiman | post-doc | Harvard Medical School | |
Rufin VanRullen | post-doc | Harvard Medical School |
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Publications
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Miconi T, McKinstry JL, Edelman GM. (2016) Spontaneous emergence of fast attractor dynamics in a model of developing primary visual cortex. Nature Communications. 7: 13208 |
Miconi T, VanRullen R. (2016) A Feedback Model of Attention Explains the Diverse Effects of Attention on Neural Firing Rates and Receptive Field Structure. Plos Computational Biology. 12: e1004770 |
Miconi T, Groomes L, Kreiman G. (2015) There's Waldo! A Normalization Model of Visual Search Predicts Single-Trial Human Fixations in an Object Search Task. Cerebral Cortex (New York, N.Y. : 1991) |
Miconi T, VanRullen R. (2011) A simple feedback-based model explains the diverse effects of attention on visual responses Journal of Vision. 11: 227-227 |
Miconi T, Vanrullen R. (2011) A feedback model of attentional effects in the visual cortex Ieee Ssci 2011 - Symposium Series On Computational Intelligence - Cimsivp 2011: 2011 Ieee Symposium On Computational Intelligence For Multimedia, Signal and Vision Processing. 106-113 |
Miconi T, Vanrullen R. (2010) The gamma slideshow: object-based perceptual cycles in a model of the visual cortex. Frontiers in Human Neuroscience. 4: 205 |
Miconi T, Channon A. (2006) Analysing co-evolution among artificial 3D creatures Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 3871: 167-178 |
Miconi T, Channon A. (2006) The N-strikes-out algorithm: A steady-state algorithm for coevolution 2006 Ieee Congress On Evolutionary Computation, Cec 2006. 1639-1646 |
Miconi T, Channon A. (2005) A virtual creatures model for studies in artificial evolution 2005 Ieee Congress On Evolutionary Computation, Ieee Cec 2005. Proceedings. 1: 565-572 |