Wiring specificity in the direction-selectivity circuit of the retina

By Kevin L. Briggman, Moritz Helmstaedter, Winfried Denk. Nature, 2011

833 citations recorded by the source corpus.

Subfields: Cellular and Molecular Neuroscience, Molecular Biology

View Paper: https://www.semanticscholar.org/paper/039d865a90fd00ab4ed62e70b625c51496fa76cb

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In Cellular and Molecular Neuroscience

In Molecular Biology

Citations in the corpus

Direct-fit to nature: an evolutionary perspective on biological (and artificial) neural networks (2019, background): “However, the limited generalizability of experiments using contrived, non-representative manipulations is often glossed over (Brunswik, 1947).”
Connectomic reconstruction of the inner plexiform layer in the mouse retina (2013, methodology): “20), has the underlying neural computation been plausibly explained, combining information from anatomical studies, electrical recordings and two-photon calcium imaging 5,12,20–23 .”
Advanced CLARITY for rapid and high-resolution imaging of intact tissues (2014, methodology): “Over the last few decades, electron microscopy (EM) has emerged as a foundational method for deciphering details of neuronal circuit structure (Bock et al., 2011; Briggman et al., 2011; Kim et al., 2014).”
Quantitative neuroanatomy for connectomics in Drosophila (2015, background): “In nervous systems without uniquely identifiable neurons, these kind of structural errors can be detected either by comparing a reconstructed arbor with prior light-microscopy imaging of the same sample (Bock et al., 2011; Briggman et al., 2011), or by compiling statistical descriptions of cell type”
TrakEM2 Software for Neural Circuit Reconstruction (2012, methodology): “Additional experiments on the same data sample may have generated light-microscopical image volumes that must then be overlaid on the EM images, such as in array tomography [12,16] or correlative calcium imaging [8,15].”
The neuronal organization of the retina. (2012, background): “Furthermore, the reconstruction can be made to include a cell of known physiological function, so that synaptic contributions to that particular cell’s response are identified (Briggman et al., 2011).”
The human connectome: Origins and challenges (2013, background): “Recent empirical studies have also attempted to directly relate reconstructed neural circuits to specific functional properties of neurons, for example in the mouse retina (Briggman et al., 2011) and in mouse visual cortex (Bock et al., 2011).”
Spike sorting for large, dense electrode arrays (2015, background): “This situation is common in many fields of high-throughput biology, for example connectomics 14 .”
Neuronal circuits underlying persistent representations despite time varying activity. (2012, background): “How realistic is the FEVER architecture? One strategy to test this hypothesis, albeit a very technically challenging one, is to densely reconstruct prefrontal cortical networks, a ‘‘connectomics’’ approach [33–35].”
Structured Connectivity in Cerebellar Inhibitory Networks (2014, background): “Many brain areas reveal signs of structured connectivity, in particular, in relation to their functional representation (Briggman et al., 2011; Helmstaedter et al., 2013; Ko et al., 2011; Maisak et al., 2013; Takemura et al., 2013).”