Efficient codes and balanced networks

Denève, Sophie, Machens, Christian K·2016·Nature Neuroscience
DOI 10.1038/nn.4243

Cited by (475)

Items 201–300 of 475

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  3. Cortical credit assignment by Hebbian, neuromodulatory and inhibitory plasticity
    Johnatan Aljadeff, James A. D’amour, Rachel E. Field, Robert C. Froemke, Claudia Clopath A · 2019 · arXiv (Cornell University)
  4. Categorization is ‘baked’ into the brain
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  5. Jensen’s force and the statistical mechanics of cortical asynchronous states
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  7. Complex spatiotemporal behavior and coherent excitations in critically-coupled chains of neural circuits
    Leandro M. Alonso, Marcelo O. Magnasco · 2018 · Chaos An Interdisciplinary Journal of Nonlinear Science
  8. Using computational models to predict in vivo synaptic inputs to interneuron specific 3 (IS3) cells of CA1 hippocampus that also allow their recruitment during rhythmic states
    Alexandre Guet-McCreight, Frances K. Skinner · 2019 · PLoS ONE
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    W. Tecumseh Fitch · 2023 · Frontiers in Computational Neuroscience
  10. Contextual modulation emerges by integrating feedforward and feedback processing in mouse visual cortex
    Serena Di Santo, Mario Dipoppa, Andreas J. Keller, Morgane Roth, Massimo Scanziani, Kenneth D. Miller · 2024 · Cell Reports
  11. A Model of Fast Hebbian Spike Latency Normalization
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    Mitchell D. Morningstar, William H. Barnett, Charles R. Goodlett, Alexey S. Kuznetsov, Christopher C. Lapish · 2021 · Neuropharmacology
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  14. Natural Gradient Enables Fast Sampling in Spiking Neural Networks
    Paul Masset, Jacob A. Zavatone-Veth, J. Patrick Connor, Venkatesh N. Murthy, Cengiz Pehlevan · 2022 · neural information processing systems
  15. Synaptic Excitation in Spinal Motoneurons Alternates with Synaptic Inhibition and Is Balanced by Outward Rectification during Rhythmic Motor Network Activity
    Robertas Guzulaitis, Jørn Hounsgaard · 2017 · Journal of Neuroscience
  16. Reading-out task variables as a low-dimensional reconstruction of neural spike trains in single trials
    Veronika Koren, Ariana R. Andrei, Ming Hu, Valentin Dragoi, Klaus Obermayer · 2019 · PLoS ONE
  17. Local Connections of Pyramidal Neurons to Parvalbumin-Producing Interneurons in Motor-Associated Cortical Areas of Mice
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  18. Rational designing of oscillatory rhythmicity for memory rescue in plasticity-impaired learning networks
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  19. Computational functions of precisely balanced neuronal microcircuits in an olfactory memory network
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  20. Coupling of synaptic inputs to local cortical activity differs among neurons and adapts after stimulus onset
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  21. A Continuous-Time Analysis of Distributed Stochastic Gradient
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  22. Regular spiking in high-conductance states: The essential role of inhibition
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  26. A Continuous-Time Analysis of Distributed Stochastic Gradient
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  29. Natural selection finds natural gradient
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  30. Robustness in spiking networks: a geometric perspective
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  31. Retinal Processing: Insights from Mathematical Modelling
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  32. Noise and spike-time-dependent plasticity drive self-organized criticality in spiking neural network: Toward neuromorphic computing
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  33. Evidence for Multiscale Multiplexed Representation of Visual Features in EEG
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  34. The impact of spike timing precision and spike emission reliability on decoding accuracy
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  35. Functional mechanisms underlie the emergence of a diverse range of plasticity phenomena
    James A. Henderson, Pulin Gong · 2018 · PLoS Computational Biology
  36. The asynchronous state's relation to large-scale potentials in cortex
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  38. Fast and slow feedforward inhibitory circuits for cortical odor processing
    Norimitsu Suzuki, Malinda LS Tantirigama, K Phyu Aung, Helena HY Huang, John M. Bekkers · 2022 · eLife
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  41. A System Computational Model of Implicit Emotional Learning
    Luca Puviani, Sidita Rama · 2016 · Frontiers in Computational Neuroscience
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    Michele Nardin, James W. Phillips, William F. Podlaski, Sander Wessel Keemink · 2021 · Peer Community Journal
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    Ioannis Polykretis, Vladimir Ivanov, Konstantinos P. Michmizos · 2018 · International Conference on Neuromorphic Systems (ICONS)
  44. Criticality predicts maximum irregularity in recurrent networks of excitatory nodes
    Yahya Karimipanah, Zhengyu Ma, Ralf Weßel · 2017 · PLoS ONE
  45. Geometry and dynamics of representations in a precisely balanced memory network related to olfactory cortex
    Claire Meissner-Bernard, Friedemann Zenke, Rainer W. Friedrich · 2024 · eLife
  46. Representational learning by optimization of neural manifolds in an olfactory memory network
    Bo Hu, Nesibe Z. Temiz, Chi-Ning Chou, Peter Rupprecht, Claire Meissner-Bernard, Benjamin Titze, SueYeon Chung, Rainer W. Friedrich · 2026 · Nature Neuroscience
  47. Jensen’s force and the statistical mechanics of cortical asynchronous states
    Victor Buendía, Pablo Villegas, Serena Di Santo, A. Vezzani, Raffaella Burioni, Muñoz Martínez, Miguel Ángel · 2019 · LA Referencia (Red Federada de Repositorios Institucionales de Publicaciones Científicas)
  48. Altered Effective Brain Connectivity During Habituation in First Episode Schizophrenia With Auditory Verbal Hallucinations: A Dichotic Listening EEG Study
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  49. Breaking the Excitation-Inhibition Balance Makes the Cortical Network's Space-Time Dynamics Distinguish Simple Visual Scenes
    Per Ebbe Roland, Lars H. Bonde, Lars E. Forsberg, Michael Harvey · 2017 · Frontiers in Systems Neuroscience
  50. Reconsidering Spatial Priors In EEG Source Estimation : Does White Matter Contribute to EEG Rhythms?
    Pamela K. Douglas, David Douglas · 2019 · International Winter Conference on Brain-Computer Interface (BCI)
  51. A case study in the functional consequences of scaling the sizes of realistic cortical models
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  52. Neural field theory of neural avalanche exponents
    Peter A. Robinson · 2021 · Biological Cybernetics
  53. Evoking prescribed spike times in stochastic neurons
    Jens Doose, Benjamin Lindner · 2017 · Physical review. E
  54. Short-term depression and transient memory in sensory cortex
    Grant Gillary, Rudiger von der Heydt, Ernst Niebur · 2017 · Journal of Computational Neuroscience
  55. Supervised training of spiking neural networks for robust deployment on mixed-signal neuromorphic processors
    Julian Büchel, Dmitrii Zendrikov, Sergio M. G. Solinas, Giacomo Indiveri, Dylan R. Muir · 2021 · Scientific Reports
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  62. Intrinsic bursts facilitate learning of Lévy flight movements in recurrent neural network models
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  63. A robust and compact population code for competing sounds in auditory cortex
    Jian Carlo Nocon, Jake Witter, Conor J Houghton, Howard J. Gritton, Xue Han, Kamal Sen · 2023 · Journal of Neurophysiology
  64. Contemporary neurocognitive models of memory: A descriptive comparative analysis
    Alba Marcela Zárate-Rochín · 2024 · Neuropsychologia
  65. Oscillatory Networks: Insights from Piecewise-Linear Modeling
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    Felix Weissenberger, Marcelo Matheus Gauy, Johannes Lengler, Florian Meier, Angelika Steger · 2018 · Scientific Reports
  67. Criteria on Balance, Stability, and Excitability in Cortical Networks for Constraining Computational Models
    Andrei Maksimov, Markus Diesmann, Sacha Jennifer van Albada · 2018 · Frontiers in Computational Neuroscience
  68. Sensitivity to Stimulus Irregularity Is Inherent in Neural Networks
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  70. Information transfer and recovery for the sense of touch
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  71. Cortical spike multiplexing using gamma frequency latencies
    Dana H. Ballard, Ruohan Zhang · 2018 · bioRxiv (Cold Spring Harbor Laboratory)
  72. Self-organized critical balanced networks: a unified framework
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  73. Minimax Dynamics of Optimally Balanced Spiking Networks of Excitatory and Inhibitory Neurons
    Qianyi Li, Cengiz Pehlevan · 2020 · arXiv (Cornell University)
  74. The combination of feedforward and feedback processing accounts for contextual effects in visual cortex
    Serena Di Santo, Mario Dipoppa, Andreas J. Keller, Morgane Roth, Massimo Scanziani, Kenneth D. Miller · 2022 · bioRxiv (Cold Spring Harbor Laboratory)
  75. Nonlinear computation by a habenula-driven recurrent inhibitory network in the raphe
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  76. WEI-SNNs: Spiking neural networks based on excitation-inhibition neurons and widening learnable time constants
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  77. On the physiological and structural contributors to the overall balance of excitation and inhibition in local cortical networks
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