A Brief History of Simulation Neuroscience DOI Creative Commons
Xue Fan, Henry Markram

Frontiers in Neuroinformatics, Journal Year: 2019, Volume and Issue: 13

Published: May 7, 2019

Our knowledge of the brain has evolved over millennia in philosophical, experimental and theoretical phases. We suggest that next phase is simulation neuroscience. The main drivers neuroscience are big data generated at multiple levels organization need to integrate these trace causal chain interactions within across all levels. Simulation currently only methodology for systematically approaching multiscale brain. In this review, we attempt reconstruct deep historical paths leading neuroscience, from first observations nerve cell modern efforts digitally simulate Neuroscience began with identification neuron as fundamental unit structure function towards understanding role each type brain, how cells connected other, seemingly infinite networks they form give rise vast diversity functions. Neuronal mapping evolving subjective descriptions types objective classes, subclasses types. Connectivity loose topographic maps between regions dense anatomical physiological connections individual genetically distinct neurons. Functional psychological behavioral stereotypes a map behaviors emerging structural functional connectomes. show industrialization resulting large disconnected datasets generating demand integrative scale neuronal connectivity driving digital atlasing reconstruction piece together organization, complexity molecules, neurons, microcircuits understand

Language: Английский

Comprehensive Classification of Retinal Bipolar Neurons by Single-Cell Transcriptomics DOI Creative Commons
Karthik Shekhar,

Sylvain W. Lapan,

Irene E. Whitney

et al.

Cell, Journal Year: 2016, Volume and Issue: 166(5), P. 1308 - 1323.e30

Published: Aug. 1, 2016

Language: Английский

Citations

1168
Neuronal cell-type classification: challenges, opportunities and the path forward DOI
Hongkui Zeng, Joshua R. Sanes

Nature reviews. Neuroscience, Journal Year: 2017, Volume and Issue: 18(9), P. 530 - 546

Published: Aug. 3, 2017

Language: Английский

Citations

825
Synaptic Specificity, Recognition Molecules, and Assembly of Neural Circuits DOI Creative Commons
Joshua R. Sanes, S Lawrence Zipursky

Cell, Journal Year: 2020, Volume and Issue: 181(3), P. 536 - 556

Published: April 1, 2020

Language: Английский

Citations

294
Inhibition decorrelates visual feature representations in the inner retina DOI
Katrin Franke, Philipp Berens, Timm Schubert

et al.

Nature, Journal Year: 2017, Volume and Issue: 542(7642), P. 439 - 444

Published: Feb. 1, 2017

Language: Английский

Citations

293
Mouse Retinal Cell Atlas: Molecular Identification of over Sixty Amacrine Cell Types DOI Open Access
Wenjun Yan,

Mallory A. Laboulaye,

Nicholas M. Tran

et al.

Journal of Neuroscience, Journal Year: 2020, Volume and Issue: 40(27), P. 5177 - 5195

Published: May 26, 2020

Amacrine cells (ACs) are a diverse class of interneurons that modulate input from photoreceptors to retinal ganglion (RGCs), rendering each RGC type selectively sensitive particular visual features, which then relayed the brain. While many AC types have been identified morphologically and physiologically, they not comprehensively classified or molecularly characterized. We used high-throughput single-cell RNA sequencing profile >32,000 ACs mice both sexes applied computational methods identify 63 types. molecular markers for them characterize morphology multiple show include nearly all previously known as well had described. Consistent with previous studies, most expressed canonical inhibitory neurotransmitters GABA glycine, but several neither both. In addition, one more neuropeptides, two glutamatergic markers. also explored transcriptomic relationships among transcription factors by individual closely related Noteworthy these were Meis2 Tcf4, GABAergic glycinergic types, respectively. Together, results provide foundation developmental functional studies ACs, means genetically accessing them. Along molecular, physiological, morphologic analyses, establish existence at least 130 neuronal 140 cell in mouse retina. SIGNIFICANCE STATEMENT The retina is leading model analyzing development, structure, function, pathology neural circuits. A complete atlas provides an important studies. heterogeneous interneurons, amacrine cells, identifying distinct includes novel evidence use groups Combining those obtained previously, we proposed contains ∼130 therefore comparable complexity other regions

Language: Английский

Citations

287
Species-specific wiring for direction selectivity in the mammalian retina DOI

Huayu Ding,

Robert G. Smith, Alon Poleg-Polsky

et al.

Nature, Journal Year: 2016, Volume and Issue: 535(7610), P. 105 - 110

Published: June 22, 2016

Language: Английский

Citations

253
Digital Museum of Retinal Ganglion Cells with Dense Anatomy and Physiology DOI Creative Commons
J. Alexander Bae, Shang Mu, Jinseop S. Kim

et al.

Cell, Journal Year: 2018, Volume and Issue: 173(5), P. 1293 - 1306.e19

Published: May 1, 2018

Language: Английский

Citations

248
Zebrafish Differentially Process Color across Visual Space to Match Natural Scenes DOI Creative Commons
Maxime JY Zimmermann, Noora Emilia Nevala, Takeshi Yoshimatsu

et al.

Current Biology, Journal Year: 2018, Volume and Issue: 28(13), P. 2018 - 2032.e5

Published: June 21, 2018

Language: Английский

Citations

201
Connectivity map of bipolar cells and photoreceptors in the mouse retina DOI Creative Commons
Christian Behrens, Timm Schubert, Silke Haverkamp

et al.

eLife, Journal Year: 2016, Volume and Issue: 5

Published: Nov. 25, 2016

In the mouse retina, three different types of photoreceptors provide input to 14 bipolar cell (BC) types. Classically, most BC are thought contact all cones within their dendritic field; ON-BCs would exclusively via so-called invaginating synapses, while OFF-BCs form basal synapses. By mining publically available electron microscopy data, we discovered interesting violations these rules outer retinal connectivity: ON-BC type X contacted only ~20% in its field and made mostly atypical non-invaginating contacts. Types 5T, 5O 8 also fewer than expected. addition, found that rod BCs received from cones, providing anatomical evidence cone pathways interconnected both directions. This suggests organization plexiform layer is more complex classically thought.

Language: Английский

Citations

180
Visual Circuits for Direction Selectivity DOI
Alex S. Mauss, Anna Vlasits, Alexander Borst

et al.

Annual Review of Neuroscience, Journal Year: 2017, Volume and Issue: 40(1), P. 211 - 230

Published: April 18, 2017

Images projected onto the retina of an animal eye are rarely still. Instead, they usually contain motion signals originating either from moving objects or retinal slip caused by self-motion. Accordingly, tell in which direction a predator, prey, itself is moving. At neural level, visual detection has been proposed to extract directional information delay-and-compare mechanism, representing classic example computation. Neurons responding selectively one but not other have identified many systems, most prominently mammalian and fly optic lobe. Technological advances now allowed researchers characterize these neurons' upstream circuits exquisite detail. Focusing on circuits, we review compare recent progress understanding mechanisms that generate selectivity early system mammals flies.

Language: Английский

Citations

173