Kenneth D. Miller
Affiliations: | Columbia University, New York, NY |
Area:
Computation & TheoryWebsite:
http://neurotheory.columbia.edu/~ken/Google:
"Kenneth Miller"Mean distance: 12.45 (cluster 17) | S | N | B | C | P |
Children
Sign in to add trainee| Andrew Kayser | grad student | UCSF | |
| Anton Edward Krukowski | grad student | 2000 | UCSF |
| Thomas Z. Lauritzen | grad student | 1998-2003 | UCSF |
| Brendan K. Murphy | grad student | 2007 | UCSF |
| Daniel B. Rubin | grad student | 2012 | Columbia |
| Avi Ziskind | grad student | 2013 | Columbia |
| Wujie Zhang | grad student | 2010-2016 | Columbia |
| Aylin Cimenser | post-doc | Columbia | |
| Tatyana Sharpee | post-doc | UCSF | |
| Hiroki Sugihara | post-doc | UCSF | |
| Taro Toyoizumi | post-doc | RIKEN BSI | |
| Todd W. Troyer | post-doc | UCSF | |
| Stephanie E. Palmer | post-doc | 2001-2003 | UCSF |
| Yashar Ahmadian | post-doc | 2011-2014 | Columbia |
Collaborators
Sign in to add collaborator| David Ferster | collaborator | Northwestern | |
| Stephanie E. Palmer | collaborator |
BETA: Related publications
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Publications
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| Zhang W, Falkner AL, Krishna BS, et al. (2016) Coupling between One-Dimensional Networks Reconciles Conflicting Dynamics in LIP and Reveals Its Recurrent Circuitry. Neuron |
| Miller KD. (2016) Canonical computations of cerebral cortex. Current Opinion in Neurobiology. 37: 75-84 |
| Murphy BK, Miller KD. (2016) Balanced Amplification: A New Mechanism of Selective Amplification of Neural Activity Patterns. Neuron 61, 635-648; February 26, 2009 Neuron. 89: 235 |
| Ahmadian Y, Fumarola F, Miller KD. (2015) Properties of networks with partially structured and partially random connectivity. Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics. 91: 012820 |
| Ziskind AJ, Emondi AA, Kurgansky AV, et al. (2015) Neurons in cat V1 show significant clustering by degree of tuning. Journal of Neurophysiology. 113: 2555-81 |
| Rubin DB, Van Hooser SD, Miller KD. (2015) The stabilized supralinear network: a unifying circuit motif underlying multi-input integration in sensory cortex. Neuron. 85: 402-17 |
| Ahmadian Y, Fumarola F, Miller KD. (2015) Properties of networks with partially structured and partially random connectivity Physical Review E - Statistical, Nonlinear, and Soft Matter Physics. 91 |
| Toyoizumi T, Kaneko M, Stryker MP, et al. (2014) Modeling the dynamic interaction of Hebbian and homeostatic plasticity. Neuron. 84: 497-510 |
| Cimenser A, Miller KD. (2014) The effects of short-term synaptic depression at thalamocortical synapses on orientation tuning in cat V1. Plos One. 9: e106046 |
| Ramirez A, Pnevmatikakis EA, Merel J, et al. (2014) Spatiotemporal receptive fields of barrel cortex revealed by reverse correlation of synaptic input. Nature Neuroscience. 17: 866-75 |