Research graph
References from Stochastic activity in low-rank recurrent neural networks. Local targets link to admitted publications; unresolved targets remain external evidence.
Coherent chaos in a recurrent neural network with structured connectivity
10.1371/journal.pcbi.1006309 · 2018 · External reference
Circuit models of low-dimensional shared variability in cortical networks
10.1016/j.neuron.2018.11.034 · 2019 · External reference
Global organization of neuronal activity only requires unstructured local connectivity
10.7554/elife.68422 · 2022 · External reference
On simplicity and complexity in the brave new world of large-scale neuroscience
10.1016/j.conb.2015.04.003 · 2015 · External reference
Flexible timing by temporal scaling of cortical responses
10.1038/s41593-017-0028-6 · 2018 · External reference
Low-dimensional dynamics for working memory and time encoding
10.1073/pnas.1915984117 · 2020 · External reference
Unresolved reference
External reference
Linking connectivity, dynamics, and computations in low-rank recurrent neural networks
10.1016/j.neuron.2018.07.003 · 2018 · External reference
Approximating nonlinear functions with latent boundaries in low-rank excitatory-inhibitory spiking networks
10.1162/neco_a_01658 · 2024 · External reference
High-dimensional dynamics in low-dimensional networks
2025 · External reference
Attractor dynamics in networks with learning rules inferred from in vivo data
10.1016/j.neuron.2018.05.038 · 2018 · External reference
Coding with transient trajectories in recurrent neural networks
10.1371/journal.pcbi.1007655 · 2020 · External reference
Shaping dynamics with multiple populations in low-rank recurrent networks
10.1162/neco_a_01381 · 2021 · External reference
Evolution of neural activity in circuits bridging sensory and abstract knowledge
10.7554/elife.79908 · 2023 · External reference
Quality of internal representation shapes learning performance in feedback neural networks
10.1103/physrevresearch.3.013176 · 2021 · External reference
Non-normal amplification in random balanced neuronal networks
10.1103/physreve.86.011909 · 2012 · External reference
Attentional modulation of neuronal variability in circuit models of cortex
10.7554/elife.23978 · 2017 · External reference
The spectrum of covariance matrices of randomly connected recurrent neuronal networks with linear dynamics
2022 · External reference
The highly irregular firing of cortical cells is inconsistent with temporal integration of random epsps
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The variable discharge of cortical neurons: implications for connectivity, computation, and information coding
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Context-dependent computation by recurrent dynamics in prefrontal cortex
10.1038/nature12742 · 2013 · External reference
Training excitatory-inhibitory recurrent neural networks for cognitive tasks: a simple and flexible framework
2016 · External reference
Unresolved reference
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Stabilizing machine learning prediction of dynamics: novel noise-inspired regularization tested with reservoir computing
10.1016/j.neunet.2023.10.054 · 2024 · External reference
Aligned and oblique dynamics in recurrent neural networks
10.7554/elife.93060 · 2024 · External reference
The interplay between randomness and structure during learning in RNNs
2020 · External reference
Dynamically learning to integrate in recurrent neural networks
2025 · External reference
Unresolved reference
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Estimating a state-space model from point process observations
10.1162/089976603765202622 · 2003 · External reference
Inferring stochastic low-rank recurrent neural networks from neural data
2024 · External reference
Neural networks and physical systems with emergent collective computational abilities
10.1073/pnas.79.8.2554 · 1982 · External reference
Unresolved reference
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The role of population structure in computations through neural dynamics
10.1038/s41593-022-01088-4 · 2022 · External reference
Extracting computational mechanisms from neural data using low-rank rnns
2022 · External reference
Unresolved reference
External reference
Optimal degrees of synaptic connectivity
10.1016/j.neuron.2017.01.030 · 2017 · External reference
The low-rank eigenvalue problem
2019 · External reference
Mean-field equations, bifurcation map and route to chaos in discrete time neural networks
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Sequence to sequence learning with neural networks
2014 · External reference
High-dimensional geometry of population responses in visual cortex
10.1038/s41586-019-1346-5 · 2019 · External reference
Predictive coding of dynamical variables in balanced spiking networks
10.1371/journal.pcbi.1003258 · 2013 · External reference
Predictive coding in balanced neural networks with noise, chaos and delays
2020 · External reference
How the brain keeps the eyes still
10.1073/pnas.93.23.13339 · 1996 · External reference
Balanced amplification: a new mechanism of selective amplification of neural activity patterns
10.1016/j.neuron.2009.02.005 · 2009 · External reference
Generalized stability theory. Part I: autonomous operators
10.1175/1520-0469(1996)053<2025:gstpia>2.0.co;2 · 1996 · External reference
Multiregion neuronal activity: the forest and the trees
10.1038/s41583-022-00634-0 · 2022 · External reference
A mesoscale connectome of the mouse brain
10.1038/nature13186 · 2014 · External reference
Cellular anatomy of the mouse primary motor cortex
10.1038/s41586-021-03970-w · 2021 · External reference
Partial observation can induce mechanistic mismatches in data-constrained models of neural dynamics
2024 · External reference
Direct neural perturbations reveal a dynamical mechanism for robust computation
2022 · External reference
10.21203/rs.3.rs-4102129/v1
10.21203/rs.3.rs-4102129/v1 · External reference
Eigenvalue spectra of random matrices for neural networks
10.1103/physrevlett.97.188104 · 2006 · External reference
Neural trajectories in the supplementary motor area and motor cortex exhibit distinct geometries, compatible with different classes of computation
10.1016/j.neuron.2020.05.020 · 2020 · External reference
Opening the black box: low-dimensional dynamics in high-dimensional recurrent neural networks
10.1162/neco_a_00409 · 2013 · External reference
Inhibition stabilization is a widespread property of cortical networks
10.7554/elife.54875 · 2020 · External reference
The spatial structure of correlated neuronal variability
10.1038/nn.4433 · 2017 · External reference
Nonmonotonic spatial structure of interneuronal correlations in prefrontal microcircuits
10.1073/pnas.1802356115 · 2018 · External reference
Cortical state dynamics and selective attention define the spatial pattern of correlated variability in neocortex
10.1038/s41467-021-27724-4 · 2022 · External reference
Structure of activity in multiregion recurrent neural networks
10.1073/pnas.2404039122 · 2025 · External reference
Early selection of task-relevant features through population gating
10.1038/s41467-023-42519-5 · 2023 · External reference
Cortical areas interact through a communication subspace
10.1016/j.neuron.2019.01.026 · 2019 · External reference
