Functional imaging with cellular resolution reveals precise micro-architecture in visual cortex
By K. Ohki, Sooyoung Chung, Yeang H. Ch'ng, P. Kara, R. Reid. Nature, 2005
1,211 citations recorded by the source corpus.
Subfields: Biophysics, Cellular and Molecular Neuroscience, Cognitive Neuroscience
View Paper: https://www.semanticscholar.org/paper/6b0f6f466516efbe11faa0c90934898bf9839bbf
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In Biophysics
- Rafael Yuste
- Karel Svoboda
- Edward M. Callaway
- Olaf Sporns
- Liqun Luo
- Jim Bednar
- Carl C. H. Petersen
- Xiao-Jing Wang
In Cellular and Molecular Neuroscience
- Rafael Yuste
- Edward M. Callaway
- Olaf Sporns
- Xiao-Jing Wang
- S. Furber
- Michael P. Stryker
- S. Shipp
- Karel Svoboda
In Cognitive Neuroscience
- Olaf Sporns
- Rafael Yuste
- Xiao-Jing Wang
- Edward M. Callaway
- Giulio Tononi
- György Buzsáki
- Gustavo Deco
- Rolf Kötter
Citations in the corpus
- Optical brain imaging in vivo: techniques and applications from animal to man. (2007, background): “(3)] should cancel these source- and detector-specific scaling factors, although it must be assumed that these factors stay constant for the duration of the measurement (which can be challenging if the subject moves and/or hair is obstructing probe placement).”
- How Inhibition Shapes Cortical Activity (2011, neutral): “…neurons in several cortical sensory areas are not necessarily tuned to the same stimuli (i.e., the rodent visual cortex with regard to orientation [Ohki et al., 2005]; the auditory cortex with regard to frequency [Bandyopadhyay et al., 2010; Rothschild et al., 2010], and the olfactory cortex with…”
- PsyPhy: A Psychophysics Driven Evaluation Framework for Visual Recognition (2016, background): “e intricate structure and function of biological neural networks [10]. Advances in connectomics [24], a subfield of neuroscience that is attempting to map circuits in the brain, and functional imaging [31], which allows for the in vivo study of neuronal responses, are likely to inform new biologicall”
- Automated analysis of cellular signals from large-scale calcium imaging data. (2009, methodology): “As the number of cells in Ca 2+ imaging studies extends into the hundreds (Gobel et al., 2007; Ohki et al., 2005) or beyond, human selection of pixels will become increasingly prohibitive.”
- Dynamics and Effective Topology Underlying Synchronization in Networks of Cortical Neurons (2006, positive): “In a series of classical electrophysiological studies (for review, see Mountcastle, 1998), as well as in later experiments in which large-scale imaging technologies were applied (Slovin et al., 2002; Ohki et al., 2005), the abstract notion of cell assembly was mapped to actual neural entities.”
- Neural networks and neuroscience-inspired computer vision. (2014, background): “Increasingly, neuroscience tools give access to the activity of large populations of cells [53,54], and the same cell across large spans of time [55].”
- Dendritic spines and distributed circuits. (2011, positive): “With two-photon calcium imaging, one can measure, for the first time, the functional properties of larger territories of cortex, while main- taining single-cell resolution (Ohki et al., 2005; Stosiek et al., 2003).”
- Optimization of a GCaMP calcium indicator for neural activity imaging (2012, methodology): “For comparison, the synthetic indicator OGB-1-AM was bulk-loaded into V1 (Stosiek et al., 2003; Ohki et al., 2005).”
- Network anatomy and in vivo physiology of visual cortical neurons (2011, methodology): “cortex (Ohki et al., 2005; Kerlin et al., 2010).”
- Topographica: Building and Analyzing Map-Level Simulations from Python, C/C++, MATLAB, NEST, or NEURON Components (2008, positive): “These maps contain systematic two-dimensional representations of features relevant to sensory and motor processing, such as retinal position, sound frequency, line orientation, and motion direction (Blasdel, 1992; Merzenich et al., 1975; Ohki et al., 2005; Weliky et al., 1996; Xu et al., 2007).”
- Direct activation of sparse, distributed populations of cortical neurons by electrical microstimulation. (2009, methodology): “The optical technique of two-photon calcium imaging of networks of neurons (Stosiek et al., 2003; Ohki et al., 2005; Kerr et al., 2005; Kerr and Denk, 2008) solves both these problems .”
- Sparse Representation of Sounds in the Unanesthetized Auditory Cortex (2008, background): “First, recent studies suggest that neurons in the visual cortex of rodents, unlike those in cats and primates, may not be organized into columns [36,43]; by analogy, it may be the auditory cortex of the rodent also lacks columnar organization.”
- The functional organization of the barrel cortex. (2007, methodology): “1990), it has been possible to image cortical activity in the supragranular layers in vivo at cellular resolution (Stosiek et al., 2003; Kerr et al., 2005; Ohki et al. 2005; Sato et al., 2007).”
- Monosynaptic restriction of transsynaptic tracing from single, genetically targeted neurons. (2007, background): “Because different neuron types involved in distinct subcircuits are intermingled, and even neighboring neurons of the same type differ in their connectivity and function (DeAngelis et al., 1999; Ohki et al., 2005; Song et al., 2005; Yoshimura et al., 2005), methods are required that can reveal the c”