Efficient codes and balanced networks

Cited by (475)

Items 301–400 of 475

1. Relating sparse and predictive coding to divisive normalization
   Yanbo Lian, Anthony Neville Burkitt · 2025 · PLoS Computational Biology
2. Biological detail and graph structure in network neuroscience
   David Papo, Javier Martín Buldú · 2025 · Frontiers in Network Physiology
3. Resting-state EEG aperiodic exponent moderates the association between age and memory performance in older adults
   Alicia J Campbell, Toomas Erik Anijärv, Mikael Johansson, Thomas Pace, Jim Lagopoulos, Daniel Francis Hermens, Jacob M. Levenstein, Sophie C. Andrews · 2025 · Neurobiology of Aging
4. An uncertainty principle for neural coding: Conjugate representations of position and velocity are mapped onto firing rates and co‐firing rates of neural spike trains
   Ryan Grgurich, Hugh T. Blair · 2020 · Hippocampus
5. A Synthetic Nervous System for on and Off Motion Detection Inspired by the Drosophila melanogaster Optic Lobe
   William R. P. Nourse, Nicholas S. Szczecinski, Roger D. Quinn · 2023 · Lecture notes in computer science
6. Geometry and dynamics of representations in a precisely balanced memory network related to olfactory cortex
   Claire Meissner-Bernard, Friedemann Zenke, Rainer W. Friedrich · 2025 · eLife
7. Mixed synaptic modulation and inhibitory plasticity perform complementary roles in metastable transitions
   Xinjia Zhou, Yan Zhang, Tianyi Gu, Muhua Zheng, Kesheng Xu · 2024 · Physica A Statistical Mechanics and its Applications
8. Balancing memory in sleep: firing barrages as a circuit breaker for reactivation
   Hayder Amin · 2024 · Signal Transduction and Targeted Therapy
9. Antifragile control systems in neuronal processing: a sensorimotor perspective
   Cristian Axenie · 2025 · Biological Cybernetics
10. State–Space Trajectories and Traveling Waves Following Distraction
    Tamal Batabyal, Scott L. Brincat, Jacob Donoghue, Mikael Lundqvist, Meredith K. Mahnke, Earl K. Miller · 2025 · Journal of Cognitive Neuroscience
11. Robustness and Flexibility of Neural Function through Dynamical Criticality
    Marcelo O. Magnasco · 2022 · Entropy
12. Effects of high-intensity interval training and moderate-intensity continuous training on neural dynamics and firing in the CA1-MEC region of mice
    Yuncheng Liu, Shiqiang Chen, Junliang Li, Zengfei Song, Jihui Wang, Xiping Ren, Yongdong Qian, Wei Ouyang · 2024 · Journal of Applied Physiology
13. Unique Transcriptomic Cell Types of the Granular Retrosplenial Cortex Are Preserved across Mice and Rats despite Dramatic Changes in Key Marker Genes
    Isla A. W. Brooks, Izabela Jedrasiak‐Cape, Chloe Rybicki-Kler, Tyler G. Ekins, Omar J. Ahmed · 2025 · Journal of Neuroscience
14. Implementing Efficient Balanced Networks with Mixed-Signal Spike-Based Learning Circuits
    Julian Büchel, Jonathan Kakon, Michel Perez, Giacomo Indiveri · 2021 · IEEE International Symposium on Circuits and Systems proceedings
15. Coding of Spatial Information
    Michael Pecka, Jörg Encke · 2020 · Elsevier eBooks
16. Spatial and color hallucinations in a mathematical model of primary visual cortex
    Olivier D. Faugeras, Anna Song, Romain Veltz · 2022 · Comptes Rendus Mathématique
17. Unsupervised identification of states from voltage recordings of neural networks
    Davide Garolini, Andreas Vitalis, Amedeo Caflisch · 2019 · Journal of Neuroscience Methods
18. Low Dimensional Activity in Spiking Neuronal Networks
    Emil Wärnberg, Arvind Kumar · 2017 · bioRxiv (Cold Spring Harbor Laboratory)
19. Training Spiking Neural Networks for Cognitive Tasks: A Versatile Framework Compatible to Various Temporal Codes
    Chaofei Hong · 2017 · arXiv (Cornell University)
20. Voltage-sensitive dye imaging reveals inhibitory modulation of ongoing cortical activity
    Taylor Newton, Marwan Abdellah, Grigori Chevtchenko, Eilif Benjamin Muller, Henry Markram · 2019 · bioRxiv (Cold Spring Harbor Laboratory)
21. Sensory coding and contrast invariance emerge from the control of plastic inhibition over emergent selectivity
    René Larisch, Lorenz Gönner, Michael Teichmann, Fred H. Hamker · 2020 · bioRxiv (Cold Spring Harbor Laboratory)
22. Compulsive drinking is associated with neural activity patterns reflecting diminished behavioral control and enhanced seeking representations in dorsal medial prefrontal cortex
    Nicholas M. Timme, Baofeng Ma, David N. Linsenbardt, Ethan Cornwell, Taylor Galbari, Christopher C. Lapish · 2021 · bioRxiv (Cold Spring Harbor Laboratory)
23. Bimodal inference in humans and mice
    Veith Andreas Weilnhammer, Heiner Stuke, Kai Standvoss, Philipp Sterzer · 2021 · bioRxiv (Cold Spring Harbor Laboratory)
24. Efficient coding in biophysically realistic excitatory-inhibitory spiking networks
    Veronika Koren, Simone Blanco Malerba, Tilo Schwalger, Stefano Panzeri · 2024 · eLife
25. How the layer-dependent ratio of excitatory to inhibitory cells shapes cortical coding in balanced networks
    Arezoo Alizadeh, Bernhard Englitz, Fleur Zeldenrust · 2024 · bioRxiv (Cold Spring Harbor Laboratory)
26. Excitation-Inhibition Dynamics Regulate Activity Transmission Through the Perirhinal–Entorhinal Network
    Janske G. P. Willems, Wytse Jan Wadman, Natalie L. M. Cappaert · 2019 · Neuroscience
27. The dorsal column nuclei encode and transmit the network signatures of mechanical allodynia
    Amandine Virlogeux, Tejapratap Bollu, Xiangyu Ren, Ana M. Palma, Martyn Goulding · 2025 · Cell Reports
28. Brain-lateralized reservoirs: Neuro-anatomically constrained echo state networks for chaotic and physiological signals
    Pradeep Singh, Shreyas Rajesh Dahale, Yash, Shruti Gupta, Balasubramanian Raman · 2025 · Knowledge-Based Systems
29. Predictive coding with spiking neural networks: A survey
    Antony W. N’dri, William Gebhardt, Céline Teulière, Fleur Zeldenrust, Rajesh P. N. Rao, Jochen Triesch, Alexander G. Ororbia · 2025 · Neural Networks
30. Feature-specific predictive processing: What’s in a prediction error?
    David Richter, Cem Uran, Martin A. Vinck, Floris P. de Lange · 2025 · Imaging Neuroscience
31. Bionic odor encoding and olfactory bulb model for processing electronic nose data
    Siyuan Deng, Yangfan Huang, Fengchun Tian, Saverio De Vito, Hantao Li, Zhiyuan Wu, Zhao Zhou · 2025 · Neurocomputing
32. Multimodal neuroimaging reveals brain neurochemical disturbances associated with superoxide dismutase in first-episode drug-naïve schizophrenia
    Zijia Zhu, Zhuo Wang, Xiuxia Yuan, Yawen Zou, Chenxiang Zheng, Yanqin Wen, Gangrui Hei, Xueqin Song, Yongyong Shi · 2026 · Translational Psychiatry
33. Achieving Optimal Accuracy and Robustness Through Tight Excitatory–Inhibitory Balance in Shallow Spiking Recurrent Neural Network
    Shiwen Li, Junsong Wang, Syeda Shamaila Zareen · 2026 · International Journal of Neural Systems
34. Neuronal spiking in the mammalian forebrain is dominated by a heterogeneous ground state
    Daniel Levenstein, Jonathan Gornet, Roman Huszár, Gabrielle Girardeau, Andres Grosmark, Adrien Peyrache, Yuta Senzai, Brendon O. Watson, Kenji Mizuseki, John Rinzel et al. · 2026 · Neuron
35. tDCS in the Context of Rehabilitation
    Marcel Simis, Leon Morales, Anna Marduy, Felipe Fregni · 2021 · Springer eBooks
36. Deciphering brain cellular and behavioral mechanisms: Insights from single‐cell and spatial RNA sequencing
    Renrui Chen, Pengxing Nie, Jing Wang, Guang‐Zhong Wang · 2024 · Wiley Interdisciplinary Reviews - RNA
37. Synaptic coupling and synchronization for HR neural network developing a novel type II non-linear memristor, potential to neuromorphic application
    Parnab Das, Nune Pratyusha, Santanu Mandal, Mousami Sanyal · 2024 · The European Physical Journal Special Topics
38. Continuous signal sparse encoding using analog neuromorphic variability
    Filippo Costa, Chiara De Luca · 2025 · Neuromorphic Computing and Engineering
39. An 80/20 cortical balance stabilizes information-rich dynamics
    Mozhgan Khanjanianpak, Maryam Pakpour, Matjaž Perc, Alireza Valizadeh · 2025 · Neurocomputing
40. Emergent functions of noise-driven spontaneous activity: homeostatic maintenance of criticality and memory consolidation
    Narumitsu Ikeda, Dai Akita, Hirokazu Takahashi · 2025 · Frontiers in Neural Circuits
41. Self-healing neural codes: Hebbian and homeostatic mechanisms can track evolving neural representations
    Michael E. Rule, Timothy O’Leary · 2021 · German Neuroinformatics Node
42. Dynamics and computation in mixed networks containing neurons that accelerate towards spiking
    Paul Manz, Sven Goedeke, Raoul-Martin Memmesheimer · 2019 · Physical review. E
43. Theory of the asynchronous state of structured rotator networks and its application to recurrent networks of excitatory and inhibitory units
    Jonas Ranft, Benjamin Lindner · 2023 · Physical review. E
44. Comparison of FORCE trained spiking and rate neural networks shows spiking networks learn slowly with noisy, cross-trial firing rates
    Thomas Robert Newton, Wilten Nicola · 2025 · PLoS Computational Biology
45. Balanced synaptic currents underlie low‐frequency oscillations in the subiculum
    Feliks Royzen, Sylvain Williams, Fernando R. Fernandez, John A. White · 2019 · Hippocampus
46. Auditory Nerve Stochasticity Impedes Auditory Category Learning: Learning: a Computational Account of the Role of Cochlear Nucleus and Inferior Colliculus in Stabilising Auditory Nerve Firing
    Irina Higgins, Simon Stringer, Jan Schnupp · 2016 · bioRxiv (Cold Spring Harbor Laboratory)
47. Effective synaptic interactions in subsampled nonlinear networks with strong coupling
    Braden A. W. Brinkman, Fred M Rieke, Eric Shea‐Brown, Michael A. Buice · 2017 · arXiv (Cornell University)
48. Chaotic Neural Circuit Dynamics
    Rainer Engelken · 2018
49. Unsupervised learning by a nonlinear network with Hebbian excitatory and anti-Hebbian inhibitory neurons
    H. Sebastian Seung · 2018 · arXiv (Cornell University)
50. Predictive Coding is a Consequence of Energy Efficiency in Recurrent Neural Networks
    Abdullahi Garba Ali, Nasir Ahmad, Elgar de Groot, Marcel A. J. van Gerven, Tim Christian Kietzmann · 2021 · SSRN Electronic Journal
51. The neural dynamics of feedforward and feedback interactions in predictive processing
    Martin A. Vinck, Cem Uran, Andrés Canales‐Johnson · 2022
52. Temporal pattern recognition in retinal ganglion cells is mediated by dynamical inhibitory synapses
    Simone Ebert, Thomas Buffet, B. Semihcan Sermet, Olivier Marre, Bruno Cessac · 2023 · bioRxiv (Cold Spring Harbor Laboratory)
53. A canonical cortical electronic circuit for neuromorphic intelligence
    Maryada Maryada, Chiara De Luca, Arianna Rubino, Chenxi Wen, Matteo Cartiglia, Ioan-Iustin Fodorut, Melika Payvand, Giacomo Indiveri · 2025 · bioRxiv (Cold Spring Harbor Laboratory)
54. Brain network reconstruction of abnormal functional connectivity in Lennox-Gastaut syndrome according to drug responsiveness: A retrospective study
    Kang Min Park, So‐Young Park, Yun Jung Hur · 2024 · Epilepsy Research
55. Fluctuation in cortical excitation/inhibition modulates capability of attention across time scales ranging from hours to seconds
    Binghao Yang, Hao Liu, Tianzi Jiang, Shan Ping Yu · 2024 · Cerebral Cortex
56. Structural influences on synaptic plasticity: The role of presynaptic connectivity in the emergence of E/I co-tuning
    Emmanouil Giannakakis, O Vinogradov, Victor Buendía, Anna Levina · 2024 · PLoS Computational Biology
57. Towards a Neural ODE Generative Model of Cortical Dynamics
    Pamela K. Douglas · 2025 · International Winter Conference on Brain-Computer Interface (BCI)
58. Biologically-informed excitatory and inhibitory ratio for robust spiking neural network training
    Joseph A Kilgore, Jeffrey D. Kopsick, Giorgio A. Ascoli, Gina C. Adam · 2025 · Scientific Reports
59. An Engineered Neural Communication System Based on CDM Scheme for the Internet of Bio-Nano Things
    Zhuoqun Jin, Huiyu Luo, Boyu Jiang, Chen Yao, Lin Lin · 2025 · IEEE Transactions on Molecular Biological and Multi-Scale Communications
60. Neurobiological and emotional impact of occupational stress in frontline police officers: a neuroimaging and neurochemical study
    Wen-Yu Wang, Yi-Cheng Lin, Yi-Hsuan Liu, Pei‐Lin Lee, Shang-Hua N. Lin, L.-H. Chang, Ching‐Po Lin · 2025 · European Journal of Psychotraumatology
61. Operational manifolds in spiking neural networks
    Szymon Mazurek, Jakub Caputa, Piotr G. Maj, Maciej Wielgosz · 2026 · Frontiers in Neuroscience
62. Spiking Neural Networks: History, Current Status and the Future
    Christian Huyck · 2026 · Dynamics
63. Autonomous Learning from Intrinsic Sensory Dependencies Yields Generalizable Representations in Cortical-Like Networks
    Udaya Bhaskar Rongala, Henrik Jörntell · 2026 · PRX Life
64. HLSP-LSM: Enhancing image recognition performance of liquid state machines via brain-inspired hybrid long short-term plasticity
    Chao Luo, Chiawei Chu, Jianfang Wu, Muhammad Tahir Rasheed, Junsong Wang · 2026 · Neural Networks
65. Learning and retrieval behavior in recurrent neural networks with pre-synaptic dependent homeostatic plasticity
    Beatriz Eymi Pimentel Mizusaki, Everton J. Agnes, Rubem Erichsen, Leonardo G. Brunnet · 2017 · Physica A Statistical Mechanics and its Applications
66. A Computational Account of the Role of Cochlear Nucleus and Inferior Colliculus in Stabilizing Auditory Nerve Firing for Auditory Category Learning
    Irina Higgins, Simon M. Stringer, Jan W. H. Schnupp · 2018 · Neural Computation
67. Neural networks of different species, brain areas and states can be characterized by the probability polling state
    Zhi‐Qin John Xu, Xiaowei Gu, Chengyu Li, David Cai, Douglas Zhou, David W. McLaughlin · 2020 · European Journal of Neuroscience
68. Model-agnostic neural mean field with a data-driven transfer function
    Alex Spaeth, David H. Haussler, Mircea Teodorescu · 2024 · Neuromorphic Computing and Engineering
69. Automated customization of large-scale spiking network models to neuronal population activity
    Shenghao Wu, Chengcheng Huang, Adam C. Snyder, Matthew A. Smith, Brent Doiron, Byron M. Yu · 2024 · Nature Computational Science
70. Exploration and generalization in deep learning with SwitchPath activations
    Antonio Di Cecco, Andrea Papini, Carlo Metta, Marco Fantozzi, Silvia Giulia Galfrè, Francesco Morandin, Maurizio Parton · 2025 · Machine Learning
71. Desegregation of neuronal predictive processing
    Bin Wang, Nicholas J. Audette, David M. Schneider, Johnatan Aljadeff · 2026 · Nature Communications
72. A simple neuronal model with intrinsic saturation of the firing frequency
    Rimjhim Tomar, Charles E. Smith, Petr Lánský · 2022 · Biosystems
73. The functional organization of excitation and inhibition in the dendritic arbors of retinal direction-selective ganglion cells
    Varsha Jain, Benjamin L. Murphy‐Baum, Geoff deRosenroll, Santhosh Sethuramanujam, Mike Delsey, Kerry R. Delaney, Gautam Bhagwan Awatramani · 2019 · bioRxiv (Cold Spring Harbor Laboratory)
74. Learning temporal structure of the input with a network of integrate-and-fire neurons
    Lyudmila Kushnir, Sophie Denève · 2019 · arXiv (Cornell University)
75. Learning temporal integration from internal feedback
    Erik Nygren, Alexandro D. Ramirez, Brandon McMahan, Emre R. F. Aksay, Walter Senn · 2019 · bioRxiv (Cold Spring Harbor Laboratory)
76. Synaptic Degeneration in Neuronal Circuits Hinders Memory Recall, Memory Rescue, and Learning
    Kwan Tung Li, Daoyun Ji, Changsong Zhou · 2022 · bioRxiv (Cold Spring Harbor Laboratory)
77. Spatial processing of conspecific signals in weakly electric fish: from sensory image to neural population coding
    Oak E Milam · 2023
78. Predictive and Error Coding for Vocal Communication Signals in the Songbird Auditory Forebrain
    Srihita Rudraraju, Michael Turvey, Bradley H. Theilman, Timothy Q. Gentner · 2024 · bioRxiv (Cold Spring Harbor Laboratory)
79. Stability from subspace rotations and traveling waves
    Earl K. Miller, Tamal Batabyal, Scott L. Brincat, Jacob Donoghue, Mikael Lundqvist, Meredith K. Mahnke · 2024 · Research Square
80. Predictive processing in neuroscience, computational modeling and psychology
    Matthias Brucklacher, Kwangjun Lee, Giulia Moreni, Jorge F. Mejías, Sander M. Bohté, Cyriel M. A. Pennartz · 2024 · Elsevier eBooks
81. Single neurons detect spatiotemporal activity transitions through STP and EI imbalance
    Aditya Asopa, Upinder S. Bhalla · 2024 · bioRxiv (Cold Spring Harbor Laboratory)
82. Efficient coding in biophysically realistic excitatory-inhibitory spiking networks
    Veronika Koren, Simone Blanco Malerba, Tilo Schwalger, Stefano Panzeri · 2025 · eLife
83. Combining Sampling Methods with Attractor Dynamics in Spiking Models of Head-Direction Systems
    Vojko Pjanovic, Jacob A. Zavatone-Veth, Paul Masset, Sander Wessel Keemink, Michele Nardin · 2025 · bioRxiv (Cold Spring Harbor Laboratory)
84. How the layer-dependent ratio of excitatory to inhibitory cells shapes cortical coding in balanced networks
    Arezoo Alizadeh, Bernhard Englitz, Fleur Zeldenrust · 2025 · eLife
85. Breaking Balance: Encoding local error signals in perturbations of excitation-inhibition balance
    Julian Rossbroich, Friedemann Zenke · 2025 · bioRxiv (Cold Spring Harbor Laboratory)
86. Ubiquitous predictive processing in the spectral domain of sensory cortex
    Eli Sennesh, Jacob A. Westerberg, Jesse B. Spencer-Smith, André M. Bastos · 2025 · bioRxiv (Cold Spring Harbor Laboratory)
87. Modelling Predictive Coding in the Primary Visual Cortex (V1): Layer 2/3 Circuits for Prediction Error Computation through Compartmentalized Spiking Neurons
    Elnaz Nemati, Catherine E. Davey, Hamish Meffin A, Anthony Neville Burkitt · 2025 · bioRxiv (Cold Spring Harbor Laboratory)
88. Topological analysis of neuronal assemblies reveals low-rank structure modulated by cholinergic activity
    Enrique C. A. Hansen, Nicole Sanderson, Sarah Nourin, Virginie Candat, Carina Curto, Germán Sumbre · 2025 · bioRxiv (Cold Spring Harbor Laboratory)
89. Ubiquitous predictive processing in the spectral domain of sensory cortex
    Eli Sennesh, Jacob A. Westerberg, Jesse B. Spencer-Smith, André M. Bastos · 2025 · eLife
90. Unsupervised Learning of Temporal Features for Word Categorization in a Spiking Neural Network Model of the Auditory Brain Short title: Spatio-Temporal Firing Patterns Encode Words in Auditory Cortex
    Irina Higgins, Simon M. Stringer, Jan W. H. Schnupp · 2016
91. Plasticity to the Rescue
    Tatyana O. Sharpee · 2016 · Neuron
92. An investigation into the occurrence of nonlinear attractor in cellular dynamics
    Chong He · 2018
93. The Principles of Self-Organization of Memories in Neural Networks for Generating and Performing Cognitive Strategies
    Juliane Herpich · 2018
94. Flexible neural connectivity under constraints on total connection strength
    Gabriel Koch Ocker, Michael A. Buice · 2019 · bioRxiv (Cold Spring Harbor Laboratory)
95. Decrease and increase of spikes in auditory neuron with time-varying synaptic inputs
    Fuqiang Wu, Kuihua Ma · 2019 · International Journal of Modern Physics B · Retracted
96. Ultrafast functional magnetic resonance imaging reveals neuroplasticity-driven timing modulations
    Rita Gil, Francisca F. Fernandes, Noam Shemesh · 2020 · arXiv (Cornell University)
97. Associative learning in cortical and artificial neural networks
    Chi Zhang · 2020
98. Exciting inhibition: Local regulation of synapse formation and plasticity
    Dennis L.H. Kruijssen · 2020
99. Collective Spiking Dynamics in Cortical Networks
    Jens Wilting · 2020
100. Precise Subcellular Coordination of Excitation and Inhibition Supports Micron-Scale Dendritic Computations
     Geoff deRosenroll, Varsha Jain, Benjamin L. Murphy‐Baum, Mike Delsey, Kerry R. Delaney, Gautam Bhagwan Awatramani · 2019 · SSRN Electronic Journal