Xiaohan Zhang, Shenquan Liu, Zhe Sage Chen. iScience 2021
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Spike-time-dependent plasticity and heterosynaptic competition organize networks to produce long scale-free sequences of neural activity.
Ila R Fiete, Walter Senn, Claude Z H Wang, Richard H R Hahnloser. Neuron 2010
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Multiplicative dynamics underlie the emergence of the log-normal distribution of spine sizes in the neocortex in vivo.
Yonatan Loewenstein, Annerose Kuras, Simon Rumpel. J Neurosci 2011
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Analysis of neuronal ensemble activity reveals the pitfalls and shortcomings of rotation dynamics.
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Behavior-dependent short-term assembly dynamics in the medial prefrontal cortex.
Shigeyoshi Fujisawa, Asohan Amarasingham, Matthew T Harrison, György Buzsáki. Nat Neurosci 2008
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A diverse range of factors affect the nature of neural representations underlying short-term memory.
A Emin Orhan, Wei Ji Ma. Nat Neurosci 2019
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Multistability of recurrent neural networks with time-varying delays and the piecewise linear activation function.
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Choice-specific sequences in parietal cortex during a virtual-navigation decision task.
Christopher D Harvey, Philip Coen, David W Tank. Nature 2012
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Somatostatin-Expressing Interneurons Enable and Maintain Learning-Dependent Sequential Activation of Pyramidal Neurons.
Avital Adler, Ruohe Zhao, Myung Eun Shin, Ryohei Yasuda, Wen-Biao Gan. Neuron 2019
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Forward and reverse hippocampal place-cell sequences during ripples.
Kamran Diba, György Buzsáki. Nat Neurosci 2007
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Neural Sequence Generation Using Spatiotemporal Patterns of Inhibition.
Jonathan Cannon, Nancy Kopell, Timothy Gardner, Jeffrey Markowitz. PLoS Comput Biol 2015
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Neural population dynamics during reaching.
Mark M Churchland, John P Cunningham, Matthew T Kaufman, Justin D Foster, Paul Nuyujukian, Stephen I Ryu, Krishna V Shenoy. Nature 2012
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Encoding sensory and motor patterns as time-invariant trajectories in recurrent neural networks.
Vishwa Goudar, Dean V Buonomano. Elife 2018
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Overcoming catastrophic forgetting in neural networks.
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Real-time computing without stable states: a new framework for neural computation based on perturbations.
Wolfgang Maass, Thomas Natschläger, Henry Markram. Neural Comput 2002
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Task representations in neural networks trained to perform many cognitive tasks.
Guangyu Robert Yang, Madhura R Joglekar, H Francis Song, William T Newsome, Xiao-Jing Wang. Nat Neurosci 2019
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Reliable Sequential Activation of Neural Assemblies by Single Pyramidal Cells in a Three-Layered Cortex.
Mike Hemberger, Mark Shein-Idelson, Lorenz Pammer, Gilles Laurent. Neuron 2019
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Dynamics of networks of randomly connected excitatory and inhibitory spiking neurons.
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Training Excitatory-Inhibitory Recurrent Neural Networks for Cognitive Tasks: A Simple and Flexible Framework.
H Francis Song, Guangyu R Yang, Xiao-Jing Wang. PLoS Comput Biol 2016
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Recurrent neural networks as versatile tools of neuroscience research.
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Backpropagation and the brain.
Timothy P Lillicrap, Adam Santoro, Luke Marris, Colin J Akerman, Geoffrey Hinton. Nat Rev Neurosci 2020
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Learning to Generate Sequences with Combination of Hebbian and Non-hebbian Plasticity in Recurrent Spiking Neural Networks.
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Engineering recurrent neural networks from task-relevant manifolds and dynamics.
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Eigenvalue spectra of random matrices for neural networks.
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Characteristics of sequential activity in networks with temporally asymmetric Hebbian learning.
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Understanding the computation of time using neural network models.
Zedong Bi, Changsong Zhou. Proc Natl Acad Sci U S A 2020
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The log-dynamic brain: how skewed distributions affect network operations.
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Space and Time: The Hippocampus as a Sequence Generator.
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Training dynamically balanced excitatory-inhibitory networks.
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Recurrent Network Models of Sequence Generation and Memory.
Kanaka Rajan, Christopher D Harvey, David W Tank. Neuron 2016
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Intrinsically-generated fluctuating activity in excitatory-inhibitory networks.
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Thalamic amplification of cortical connectivity sustains attentional control.
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Learning excitatory-inhibitory neuronal assemblies in recurrent networks.
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Correlated connectivity and the distribution of firing rates in the neocortex.
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Continual Learning Through Synaptic Intelligence.
Friedemann Zenke, Ben Poole, Surya Ganguli. Proc Mach Learn Res 2017
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Gated Recurrent Units Viewed Through the Lens of Continuous Time Dynamical Systems.
Ian D Jordan, Piotr Aleksander Sokół, Il Memming Park. Front Comput Neurosci 2021
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A model of temporal scaling correctly predicts that motor timing improves with speed.
Nicholas F Hardy, Vishwa Goudar, Juan L Romero-Sosa, Dean V Buonomano. Nat Commun 2018
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A neural network that finds a naturalistic solution for the production of muscle activity.
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Encoding Time in Feedforward Trajectories of a Recurrent Neural Network Model.
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Support for a synaptic chain model of neuronal sequence generation.
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Memory traces in dynamical systems.
Surya Ganguli, Dongsung Huh, Haim Sompolinsky. Proc Natl Acad Sci U S A 2008
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Opening the black box: low-dimensional dynamics in high-dimensional recurrent neural networks.
David Sussillo, Omri Barak. Neural Comput 2013
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Balanced amplification: a new mechanism of selective amplification of neural activity patterns.
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Reverse replay of behavioural sequences in hippocampal place cells during the awake state.
David J Foster, Matthew A Wilson. Nature 2006
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Considerations in using recurrent neural networks to probe neural dynamics.
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Generating coherent patterns of activity from chaotic neural networks.
David Sussillo, L F Abbott. Neuron 2009
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Synthesis of recurrent neural networks for dynamical system simulation.
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