IDEAS home Printed from https://ideas.repec.org/r/nat/nature/v391y1998i6670d10.1038_36103.html
   My bibliography  Save this item

Activity-dependent scaling of quantal amplitude in neocortical neurons

Citations

Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
as


Cited by:

  1. 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.
  2. 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.
  3. 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.
  4. 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.
  5. 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.
  6. Jimok Kim & Richard W Tsien & Bradley E Alger, 2012. "An Improved Test for Detecting Multiplicative Homeostatic Synaptic Scaling," PLOS ONE, Public Library of Science, vol. 7(5), pages 1-9, May.
  7. 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.
  8. Angulo-Garcia, David & Torcini, Alessandro, 2014. "Stable chaos in fluctuation driven neural circuits," Chaos, Solitons & Fractals, Elsevier, vol. 69(C), pages 233-245.
  9. Baktash Babadi & L F Abbott, 2016. "Stability and Competition in Multi-spike Models of Spike-Timing Dependent Plasticity," PLOS Computational Biology, Public Library of Science, vol. 12(3), pages 1-26, March.
  10. 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.
  11. 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.
  12. 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.
  13. Georg Martius & Ralf Der & Nihat Ay, 2013. "Information Driven Self-Organization of Complex Robotic Behaviors," PLOS ONE, Public Library of Science, vol. 8(5), pages 1-14, May.
  14. Christoph Hartmann & Andreea Lazar & Bernhard Nessler & Jochen Triesch, 2015. "Where’s the Noise? Key Features of Spontaneous Activity and Neural Variability Arise through Learning in a Deterministic Network," PLOS Computational Biology, Public Library of Science, vol. 11(12), pages 1-35, December.
  15. 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.
  16. Oliver W Layton & Brett R Fajen, 2016. "Competitive Dynamics in MSTd: A Mechanism for Robust Heading Perception Based on Optic Flow," PLOS Computational Biology, Public Library of Science, vol. 12(6), pages 1-37, June.
  17. 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.
  18. 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.
  19. Oliver Welzel & Carsten H Tischbirek & Jasmin Jung & Eva M Kohler & Alexei Svetlitchny & Andreas W Henkel & Johannes Kornhuber & Teja W Groemer, 2010. "Synapse Clusters Are Preferentially Formed by Synapses with Large Recycling Pool Sizes," PLOS ONE, Public Library of Science, vol. 5(10), pages 1-9, October.
  20. Julijana Gjorgjieva & Taro Toyoizumi & Stephen J Eglen, 2009. "Burst-Time-Dependent Plasticity Robustly Guides ON/OFF Segregation in the Lateral Geniculate Nucleus," PLOS Computational Biology, Public Library of Science, vol. 5(12), pages 1-19, December.
  21. 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.
  22. 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.
  23. 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.
  24. Dean J. Kareemo & Christina S. Winborn & Samantha S. Olah & Carley N. Miller & JungMin Kim & Chelsie A. Kadgien & Hannah S. Actor-Engel & Harrison J. Ramsay & Austin M. Ramsey & Jason Aoto & Matthew J, 2024. "Genetically encoded intrabody probes for labeling and manipulating AMPA-type glutamate receptors," Nature Communications, Nature, vol. 15(1), pages 1-18, December.
  25. Chiara Bartolozzi & Giacomo Indiveri & Elisa Donati, 2022. "Embodied neuromorphic intelligence," Nature Communications, Nature, vol. 13(1), pages 1-14, December.
  26. 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.
IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.