Nature reviews. Neuroscience, Journal Year: 2022, Volume and Issue: 23(12), P. 744 - 766
Published: Nov. 3, 2022
Language: Английский
Nature reviews. Neuroscience, Journal Year: 2022, Volume and Issue: 23(12), P. 744 - 766
Published: Nov. 3, 2022
Language: Английский
Nature Neuroscience, Journal Year: 2015, Volume and Issue: 18(9), P. 1213 - 1225
Published: Aug. 26, 2015
Language: Английский
Citations
1169Nature reviews. Neuroscience, Journal Year: 2017, Volume and Issue: 18(4), P. 222 - 235
Published: March 17, 2017
Language: Английский
Citations
648Nature Neuroscience, Journal Year: 2016, Volume and Issue: 19(9), P. 1142 - 1153
Published: Aug. 26, 2016
Language: Английский
Citations
620Nature Reviews Materials, Journal Year: 2016, Volume and Issue: 1(10)
Published: Sept. 27, 2016
Language: Английский
Citations
597Nature reviews. Neuroscience, Journal Year: 2019, Volume and Issue: 20(6), P. 330 - 345
Published: March 4, 2019
Language: Английский
Citations
585PLoS Computational Biology, Journal Year: 2017, Volume and Issue: 13(3), P. e1005423 - e1005423
Published: March 14, 2017
Fluorescent calcium indicators are a popular means for observing the spiking activity of large neuronal populations, but extracting each neuron from raw fluorescence imaging data is nontrivial problem. We present fast online active set method to solve this sparse non-negative deconvolution Importantly, algorithm progresses through time series sequentially beginning end, thus enabling real-time estimation neural during session. Our generalization pool adjacent violators (PAVA) isotonic regression and inherits its linear-time computational complexity. gain remarkable increases in processing speed: more than one order magnitude compared currently employed state art convex solvers relying on interior point methods. Unlike these approaches, our can exploit warm starts; therefore optimizing model hyperparameters only requires handful passes data. A minor modification further improve quality inference by imposing constraint minimum spike size. The enables simultaneous $O(10^5)$ traces whole-brain larval zebrafish laptop.
Language: Английский
Citations
533Neuron, Journal Year: 2017, Volume and Issue: 95(2), P. 424 - 435.e6
Published: July 1, 2017
Language: Английский
Citations
508Nature Methods, Journal Year: 2016, Volume and Issue: 13(4), P. 325 - 328
Published: Feb. 15, 2016
Language: Английский
Citations
442Neuron, Journal Year: 2015, Volume and Issue: 88(2), P. 264 - 276
Published: Oct. 1, 2015
Language: Английский
Citations
395Journal of Computational Neuroscience, Journal Year: 2016, Volume and Issue: 41(1), P. 1 - 14
Published: June 11, 2016
The language of graph theory, or network science, has proven to be an exceptional tool for addressing myriad problems in neuroscience. Yet, the use networks is predicated on a critical simplifying assumption: that quintessential unit interest brain dyad – two nodes (neurons regions) connected by edge. While rarely mentioned, this fundamental assumption inherently limits types neural structure and function graphs can used model. Here, we describe generalization overcomes these limitations, thereby offering broad range new possibilities terms modeling measuring phenomena. Specifically, explore simplicial complexes: developed field mathematics known as algebraic topology, increasing applicability real data due rapidly growing computational toolset. We review underlying mathematical formalism well budding literature applying complexes data, from electrophysiological recordings animal models hemodynamic fluctuations humans. Based flexibility tools recent ground-breaking insights into function, posit framework potential eclipse theory unraveling mysteries cognition.
Language: Английский
Citations
372