@article {68379, title = {The Neurodata Without Borders ecosystem for neurophysiological data science.}, journal = {eLife}, volume = {11}, year = {2022}, month = {2022 Oct 04}, abstract = {

The neurophysiology of cells and tissues are monitored electrophysiologically and optically in diverse experiments and species, ranging from flies to humans. Understanding the brain requires integration of data across this diversity, and thus these data must be findable, accessible, interoperable, and reusable (FAIR). This requires a standard language for data and metadata that can coevolve with neuroscience. We describe design and implementation principles for a language for neurophysiology data. Our open-source software (Neurodata Without Borders, NWB) defines and modularizes the interdependent, yet separable, components of a data language. We demonstrate NWB{\textquoteright}s impact through unified description of neurophysiology data across diverse modalities and species. NWB exists in an ecosystem, which includes data management, analysis, visualization, and archive tools. Thus, the NWB data language enables reproduction, interchange, and reuse of diverse neurophysiology data. More broadly, the design principles of NWB are generally applicable to enhance discovery across biology through data FAIRness.

}, keywords = {Data Science, Ecosystem, Humans, Metadata, Neurophysiology, Software}, issn = {2050-084X}, doi = {10.7554/eLife.78362}, author = {Rubel, Oliver and Tritt, Andrew and Ly, Ryan and Dichter, Benjamin K and Ghosh, Satrajit and Niu, Lawrence and Baker, Pamela and Soltesz, Ivan and Ng, Lydia and Svoboda, Karel and Frank, Loren and Bouchard, Kristofer E} } @article {67822, title = {Bidirectional synaptic plasticity rapidly modifies hippocampal representations.}, journal = {eLife}, volume = {10}, year = {2021}, month = {2021 Dec 09}, abstract = {

Learning requires neural adaptations thought to be mediated by activity-dependent synaptic plasticity. A relatively non-standard form of synaptic plasticity driven by dendritic calcium spikes, or plateau potentials, has been reported to underlie place field formation in rodent hippocampal CA1 neurons. Here we found that this behavioral timescale synaptic plasticity (BTSP) can also reshape existing place fields via bidirectional synaptic weight changes that depend on the temporal proximity of plateau potentials to pre-existing place fields. When evoked near an existing place field, plateau potentials induced less synaptic potentiation and more depression, suggesting BTSP might depend inversely on postsynaptic activation. However, manipulations of place cell membrane potential and computational modeling indicated that this anti-correlation actually results from a dependence on current synaptic weight such that weak inputs potentiate and strong inputs depress. A network model implementing this bidirectional synaptic learning rule suggested that BTSP enables population activity, rather than pairwise neuronal correlations, to drive neural adaptations to experience.

}, issn = {2050-084X}, doi = {10.7554/eLife.73046}, author = {Milstein, Aaron D and Li, Yiding and Bittner, Katie C and Grienberger, Christine and Soltesz, Ivan and Magee, Jeffrey C and Romani, Sandro} } @article {59912, title = {NWB:N 2.0: An accessible data standard for neurophysiology.}, journal = {bioRxiv}, year = {2019}, month = {2019 Jan 17}, abstract = {

Neurodata Without Borders: Neurophysiology (NWB:N) is a data standard for neurophysiology, providing neuroscientists with a common standard to share, archive, use, and build common analysis tools for neurophysiology data. With NWB:N version 2.0 (NWB:N 2.0) we made significant advances towards creating a usable standard, software ecosystem, and vibrant community for standardizing neurophysiology data. In this manuscript we focus in particular on the NWB:N data standard schema and present advances towards creating an accessible data standard for neurophysiology.

}, doi = {10.1101/523035}, author = {Rubel, Oliver and Tritt, Andrew and Dichter, Benjamin and Braun, Thomas and Cain, Nicholas and Clack, Nathan G and Davidson, Thomas J and Dougherty, Max and Fillion-Rubin, Jean-Christophe and Graddis, Nile and Grauer, Michael and Kiggins, Justin T and Niu, Lawrence and Ozturk, Doruk and Schroeder, William and Soltesz, Ivan and Sommer, Friedrich T and Svoboda, Karel and Ng, Lydia and et al} } @article {47017, title = {Optogenetics: 10 years after ChR2 in neurons-views from the community.}, journal = {Nature Neuroscience}, volume = {18}, year = {2015}, month = {2015 Aug 26}, pages = {1202-12}, issn = {1546-1726}, doi = {10.1038/nn.4106}, author = {Adamantidis, Antoine and Arber, Silvia and Bains, Jaideep S and Bamberg, Ernst and Bonci, Antonello and Buzs{\'a}ki, Gy{\"o}rgy and Cardin, Jessica A and Costa, Rui M and Dan, Yang and Goda, Yukiko and Graybiel, Ann M and H{\"a}usser, Michael and Hegemann, Peter and Huguenard, John R and Insel, Thomas R and Janak, Patricia H and Johnston, Daniel and Josselyn, Sheena A and Koch, Christof and Kreitzer, Anatol C and L{\"u}scher, Christian and Malenka, Robert C and Miesenb{\"o}ck, Gero and Nagel, Georg and Roska, Botond and Schnitzer, Mark J and Shenoy, Krishna V and Soltesz, Ivan and Sternson, Scott M and Tsien, Richard W and Tsien, Roger Y and Turrigiano, Gina G and Tye, Kay M and Wilson, Rachel I} }