Ulf Knoblich
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Publications |
Journal PapersI. Kahn*, U. Knoblich*, M. Desai, J. Bernstein, A.M. Graybiel, E.S. Boyden, R.L. Buckner, C.I. Moore.Systematic characterization of the functional MRI response driven by optical control of neocortical pyramidal neurons. [in preparation] M. Desai, I. Kahn, U. Knoblich, J. Bernstein, H. Atallah, N. Kopell, R.L. Buckner, A.M. Graybiel, C.I. Moore, E.S. Boyden. Algorithmic mapping of brain network dynamics measured via combined optical neural control and fMRI. [in press] U. Knoblich, J.H. Siegle, D.L. Pritchett, C.I. Moore. What do we gain from gamma? Local dynamic gain modulation drives enhanced efficacy and efficiency of signal transmission. Front. Hum. Neurosci. 4:185. [doi: 10.3389/fnhum.2010.00185] R. Mao, J. Schummers, U. Knoblich, C.J. Lacey, A. Van Wart, C. Kim, J.R. Huguenard, J.L.R. Rubenstein, M. Sur. Influence of a specific inhibitory interneuron subtype on stimulus-specific responses in visual cortex. [under review] C.I. Moore, M. Carlén, U. Knoblich and J.A. Cardin. Neocortical interneurons: from diversity, strength. Cell 142(2):189-193, 2010. [doi: 10.1016/j.cell.2010.07.005] J.A. Cardin, M. Carlén, K. Meletis, U. Knoblich, F. Zhang, K. Deisseroth, L.H. Tsai and C.I. Moore. Targeted optogenetic stimulation and recording of neurons in vivo using cell-type-specific expression of Channelrhodopsin-2. Nature Protoc 5(2):247-254, 2010. [doi: 10.1038/nprot.2009.228] J.A. Cardin, M. Carlén, K. Meletis, U. Knoblich, F. Zhang, K. Deisseroth, L.H. Tsai and C.I. Moore. Driving fast-spiking cells induces gamma rhythm and controls sensory responses. Nature 459(7247):663-667, 2009. [doi: 10.1038/nature08002] R. Cao, B.T. Higashikubo, J.A. Cardin, U. Knoblich, R. Ramos, M.T. Nelson, C.I. Moore and J.C. Brumberg. Pinacidil induces vascular dilation and hyperemia in vivo and does not impact biophysical properties of neurons and astrocytes in vitro. Cleve. Clin. J. Med. 76, 2009. [doi: 10.3949/ccjm.76.s2.16] T. Serre, G. Kreiman, M. Kouh, C. Cadieu, U. Knoblich and T. Poggio. A quantitative theory of immediate visual recognition. Prog. Brain Res. 165:33-56, 2007. [doi: 10.1016/S0079-6123(06)65004-8] Technical ReportsJ. Mutch, U. Knoblich and T. Poggio.CNS: a GPU-based framework for simulating cortically-organized networks. MIT-CSAIL-TR-2010-013 / CBCL-286, 2010. T. Serre, M. Kouh, C. Cadieu, U. Knoblich, G. Kreiman and T. Poggio. A Theory of Object Recognition: Computations and Circuits in the Feedforward Path of the Ventral Stream in Primate Visual Cortex. CBCL Paper #259/AI Memo #2005-036, 2005. U. Knoblich and M. Riesenhuber. Stimulus simplification and object representation: a modeling study. CBCL Paper #215/AI Memo #2002-004, 2002. U. Knoblich, D.J. Freedman and M. Riesenhuber. Categorization in IT and PFC: Model and Experiments. CBCL Paper #216/AI Memo #2002-007, 2002. Conference PapersU. Knoblich, M. Riesenhuber, D.J. Freedman, E.K. Miller and T. Poggio.Visual Categorization: How The Monkey Brain Does It. Biologically Motivated Computer Vision, 2002. Conference AbstractsU. Knoblich and C.I. Moore.What do we gain from gamma? Society for Neuroscience Annual Meeting, 2010. J.A. Cardin, M. Carlén, K. Meletis, U. Knoblich, F. Zhang, K. Deisseroth, L.H. Tsai and C.I. Moore. Selective in vivo activation of fast- or regular-spiking barrel cortex neurons with Channelrhodopsin. Computational and Systems Neuroscience, 2009. [doi: 10.3389/conf.neuro.06.2009.03.080] U. Knoblich and C.I. Moore. Direction-dependence of inter- and intra-vibrissa adaptation in rat primary somatosensory cortex. Computational and Systems Neuroscience, 2009. [doi: 10.3389/conf.neuro.06.2009.03.003] J. Mutch, U. Knoblich and T. Poggio. A biophysical model of cortical tuning and invariance operations using a transient population code. Computational and Systems Neuroscience, 2009. [doi: 10.3389/conf.neuro.06.2009.03.120] U. Knoblich, R. Cao, B.T. Higashikubo, J.A. Cardin, R. Ramos, J.C. Brumberg and C.I. Moore. The Impact of Hyperemia on Neurons and Glia. Computational and Systems Neuroscience, 2008. C.I. Moore, U. Knoblich, R. Cao, J.A. Cardin, B.T. Higashikubo, R. Ramos and J.C. Brumberg. The Hemo-Neural Hypothesis: A Proposed Role for Blood Flow in Neuromodulation and Information Processing. Computational and Systems Neuroscience, 2008. U. Knoblich, R. Cao, B.T. Higashikubo, R. Ramos, J.C. Brumberg and C.I. Moore. The impact of hyperemia on neural and glial membrane potential. Society for Neuroscience Annual Meeting, 2007. T. Serre, M. Kouh, C. Cadieu, U. Knoblich, G. Kreiman and T. Poggio. A Theory of Object Recognition: Computations and Circuits in the Feedforward Path of the Ventral Stream in Primate Visual Cortex. Computational and Systems Neuroscience, 2006. U. Knoblich, C. Koch and T. Poggio. Biophysical mechanisms for the maximum and tuning operations. Society for Neuroscience Annual Meeting, 2005. U. Knoblich and T. Poggio. Canonical Neural Circuits for Multidimensional Tuning and a MAX-like operation. Society for Neuroscience Annual Meeting, 2004. M. Riesenhuber and U. Knoblich. What Stimulus Simplification Does and Does not Tell us about Neuronal Tuning and Object Representation in Inferotemporal Cortex (IT): Insights from Modeling. Society for Neuroscience Annual Meeting, 2002. U. Knoblich, D.J. Freedman, T. Poggio, E.K. Miller and M. Riesenhuber. Category- vs. Shape-Tuning in Inferotemporal (ITC) and Prefrontal (PFC) Cortices: Insights from Modeling. Society for Neuroscience Annual Meeting, 2002. | ||||||||
Contact |
Ulf Knoblich Department of Neurobiology Yale University, School of Medicine Phone: +1 (203) 737-6957 ulf.knoblich at yale.edu | ||||||||
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Last modified: Jan 2012 by uk |