Activity-dependent scaling of quantal amplitude in neocortical neurons
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DOI: 10.1038/36103
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- Christian Keck & Cristina Savin & Jörg Lücke, 2012. "Feedforward Inhibition and Synaptic Scaling – Two Sides of the Same Coin?," PLOS Computational Biology, Public Library of Science, vol. 8(3), pages 1-15, March.
- Giorgia Dellaferrera & Stanisław Woźniak & Giacomo Indiveri & Angeliki Pantazi & Evangelos Eleftheriou, 2022. "Introducing principles of synaptic integration in the optimization of deep neural networks," Nature Communications, Nature, vol. 13(1), pages 1-14, December.
- Maxime Lemieux & Narges Karimi & Frederic Bretzner, 2024. "Functional plasticity of glutamatergic neurons of medullary reticular nuclei after spinal cord injury in mice," Nature Communications, Nature, vol. 15(1), pages 1-15, December.
- Iris Reuveni & Sourav Ghosh & Edi Barkai, 2017. "Real Time Multiplicative Memory Amplification Mediated by Whole-Cell Scaling of Synaptic Response in Key Neurons," PLOS Computational Biology, Public Library of Science, vol. 13(1), pages 1-31, January.
- Damien M O’Halloran, 2020. "Simulation model of CA1 pyramidal neurons reveal opposing roles for the Na+/Ca2+ exchange current and Ca2+-activated K+ current during spike-timing dependent synaptic plasticity," PLOS ONE, Public Library of Science, vol. 15(3), pages 1-12, March.
- Aseel Shomar & Lukas Geyrhofer & Noam E Ziv & Naama Brenner, 2017. "Cooperative stochastic binding and unbinding explain synaptic size dynamics and statistics," PLOS Computational Biology, Public Library of Science, vol. 13(7), pages 1-24, July.
- Angulo-Garcia, David & Torcini, Alessandro, 2014. "Stable chaos in fluctuation driven neural circuits," Chaos, Solitons & Fractals, Elsevier, vol. 69(C), pages 233-245.
- Kendra S Burbank, 2015. "Mirrored STDP Implements Autoencoder Learning in a Network of Spiking Neurons," PLOS Computational Biology, Public Library of Science, vol. 11(12), pages 1-25, December.
- Jannis Born & Juan M Galeazzi & Simon M Stringer, 2017. "Hebbian learning of hand-centred representations in a hierarchical neural network model of the primate visual system," PLOS ONE, Public Library of Science, vol. 12(5), pages 1-35, May.
- John Palmer & Adam Keane & Pulin Gong, 2017. "Learning and executing goal-directed choices by internally generated sequences in spiking neural circuits," PLOS Computational Biology, Public Library of Science, vol. 13(7), pages 1-23, July.
- Tiziano D’Albis & Richard Kempter, 2017. "A single-cell spiking model for the origin of grid-cell patterns," PLOS Computational Biology, Public Library of Science, vol. 13(10), pages 1-41, October.
- Sacha Jennifer van Albada & Moritz Helias & Markus Diesmann, 2015. "Scalability of Asynchronous Networks Is Limited by One-to-One Mapping between Effective Connectivity and Correlations," PLOS Computational Biology, Public Library of Science, vol. 11(9), pages 1-37, September.
- Matteo Saponati & Martin Vinck, 2023. "Sequence anticipation and spike-timing-dependent plasticity emerge from a predictive learning rule," Nature Communications, Nature, vol. 14(1), pages 1-13, December.
- Pierre Yger & Kenneth D Harris, 2013. "The Convallis Rule for Unsupervised Learning in Cortical Networks," PLOS Computational Biology, Public Library of Science, vol. 9(10), pages 1-16, October.
- Mizusaki, Beatriz E.P. & Agnes, Everton J. & Erichsen, Rubem & Brunnet, Leonardo G., 2017. "Learning and retrieval behavior in recurrent neural networks with pre-synaptic dependent homeostatic plasticity," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 479(C), pages 279-286.
- Niranjan Chakravarthy & Shivkumar Sabesan & Kostas Tsakalis & Leon Iasemidis, 2009. "Controlling epileptic seizures in a neural mass model," Journal of Combinatorial Optimization, Springer, vol. 17(1), pages 98-116, January.
- Chiara Bartolozzi & Giacomo Indiveri & Elisa Donati, 2022. "Embodied neuromorphic intelligence," Nature Communications, Nature, vol. 13(1), pages 1-14, December.
- Juan Prada & Manju Sasi & Corinna Martin & Sibylle Jablonka & Thomas Dandekar & Robert Blum, 2018. "An open source tool for automatic spatiotemporal assessment of calcium transients and local ‘signal-close-to-noise’ activity in calcium imaging data," PLOS Computational Biology, Public Library of Science, vol. 14(3), pages 1-34, March.
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