Drift-Diffusion Matching: Embedding dynamics in latent manifolds of asymmetric neural networks | Paper Citation Record

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This paper cites an unresolved cited work.

Drift-Diffusion Matching: Embedding dynamics in latent manifolds of asymmetric neural networks Unresolved cited work

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This paper cites III A, we propose an approach for designing an RNN that switches between attractors based on an input.

Drift-Diffusion Matching: Embedding dynamics in latent manifolds of asymmetric neural networks III A, we propose an approach for designing an RNN that switches between attractors based on an input

Reference 2

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This paper cites More specifically we use CubicSplinefromscipy.interpolate[68].

Drift-Diffusion Matching: Embedding dynamics in latent manifolds of asymmetric neural networks More specifically we use CubicSplinefromscipy.interpolate[68]

Reference 3

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This paper cites Panela)of Fig.

Drift-Diffusion Matching: Embedding dynamics in latent manifolds of asymmetric neural networks Panela)of Fig

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This paper cites As before, we define the attractor dynamics,−∇V, with Gaussian wells.

Drift-Diffusion Matching: Embedding dynamics in latent manifolds of asymmetric neural networks As before, we define the attractor dynamics,−∇V, with Gaussian wells

Reference 5

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This paper cites II, we use the following parameters.

Drift-Diffusion Matching: Embedding dynamics in latent manifolds of asymmetric neural networks II, we use the following parameters

Reference 6

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This paper cites III, we use the following parameters.

Drift-Diffusion Matching: Embedding dynamics in latent manifolds of asymmetric neural networks III, we use the following parameters

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This paper cites D, we use the following parameters.

Drift-Diffusion Matching: Embedding dynamics in latent manifolds of asymmetric neural networks D, we use the following parameters

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This paper cites F, we train RNNs withN=64 with 25,000 samples in[−4,4] 2 for 30,000 epochs and setσ=0.25.

Drift-Diffusion Matching: Embedding dynamics in latent manifolds of asymmetric neural networks F, we train RNNs withN=64 with 25,000 samples in[−4,4] 2 for 30,000 epochs and setσ=0.25

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This paper cites G, we train RNNs withN=1024 with 125,000 samples for 2000 epochs using batches of size 1024.

Drift-Diffusion Matching: Embedding dynamics in latent manifolds of asymmetric neural networks G, we train RNNs withN=1024 with 125,000 samples for 2000 epochs using batches of size 1024

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This paper cites Decoding the brain: From neural representations to mechanistic models,.

Drift-Diffusion Matching: Embedding dynamics in latent manifolds of asymmetric neural networks Decoding the brain: From neural representations to mechanistic models,

Reference 11

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Drift-Diffusion Matching: Embedding dynamics in latent manifolds of asymmetric neural networks Compu- tation through neural population dynamics,

Reference 12

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This paper cites Inferring single-trial neural popula- tion dynamics using sequential auto-encoders,.

Drift-Diffusion Matching: Embedding dynamics in latent manifolds of asymmetric neural networks Inferring single-trial neural popula- tion dynamics using sequential auto-encoders,

Reference 13

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This paper cites Reconstructing computational system dynamics from neural data with recur- rent neural networks,.

Drift-Diffusion Matching: Embedding dynamics in latent manifolds of asymmetric neural networks Reconstructing computational system dynamics from neural data with recur- rent neural networks,

Reference 14

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This paper cites Generating coherent patterns of activity from chaotic neural networks,.

Drift-Diffusion Matching: Embedding dynamics in latent manifolds of asymmetric neural networks Generating coherent patterns of activity from chaotic neural networks,

Reference 15

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This paper cites Optimal control of transient dynamics in balanced networks supports generation of complex movements,.

Drift-Diffusion Matching: Embedding dynamics in latent manifolds of asymmetric neural networks Optimal control of transient dynamics in balanced networks supports generation of complex movements,

Reference 16

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Drift-Diffusion Matching: Embedding dynamics in latent manifolds of asymmetric neural networks Next generation reservoir computing,

Reference 17

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This paper cites A neural machine code and pro- gramming framework for the reservoir computer,.

Drift-Diffusion Matching: Embedding dynamics in latent manifolds of asymmetric neural networks A neural machine code and pro- gramming framework for the reservoir computer,

Reference 18

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This paper cites Reservoir- computing based associative memory and itinerancy for com- plex dynamical attractors,.

Drift-Diffusion Matching: Embedding dynamics in latent manifolds of asymmetric neural networks Reservoir- computing based associative memory and itinerancy for com- plex dynamical attractors,

Reference 19

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This paper cites Neural networks and physical systems with emer- gent collective computational abilities,.

Drift-Diffusion Matching: Embedding dynamics in latent manifolds of asymmetric neural networks Neural networks and physical systems with emer- gent collective computational abilities,

Reference 20

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This paper cites Neurons with graded response have collective computational properties like those of two-state neurons,.

Drift-Diffusion Matching: Embedding dynamics in latent manifolds of asymmetric neural networks Neurons with graded response have collective computational properties like those of two-state neurons,

Reference 21

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This paper cites Pavliotis,Stochastic Processes and Applications: Diffu- sion Processes, the Fokker-Planck and Langevin Equations.

Drift-Diffusion Matching: Embedding dynamics in latent manifolds of asymmetric neural networks Pavliotis,Stochastic Processes and Applications: Diffu- sion Processes, the Fokker-Planck and Langevin Equations

Reference 22

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Drift-Diffusion Matching: Embedding dynamics in latent manifolds of asymmetric neural networks Unresolved cited work

Reference 23

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Drift-Diffusion Matching: Embedding dynamics in latent manifolds of asymmetric neural networks Attractor and integrator networks in the brain,

Reference 24

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This paper cites Temporal association in asym- metric neural networks,.

Drift-Diffusion Matching: Embedding dynamics in latent manifolds of asymmetric neural networks Temporal association in asym- metric neural networks,

Reference 25

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This paper cites Irreversible spin glasses and neural networks,.

Drift-Diffusion Matching: Embedding dynamics in latent manifolds of asymmetric neural networks Irreversible spin glasses and neural networks,

Reference 26

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This paper cites Dynamics of spin systems with randomly asymmetric bonds: Langevin dynamics and a spherical model,.

Drift-Diffusion Matching: Embedding dynamics in latent manifolds of asymmetric neural networks Dynamics of spin systems with randomly asymmetric bonds: Langevin dynamics and a spherical model,

Reference 27

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This paper cites Nonequilibrium landscape theory of neural networks,.

Drift-Diffusion Matching: Embedding dynamics in latent manifolds of asymmetric neural networks Nonequilibrium landscape theory of neural networks,

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-02T23:10:42.838093Z

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Drift-Diffusion Matching: Embedding dynamics in latent manifolds of asymmetric neural networks Nonequilibrium physics of brain dy- namics,

Reference 29

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This paper cites En- hanced associative memory, classification, and learning with active dynamics,.

Drift-Diffusion Matching: Embedding dynamics in latent manifolds of asymmetric neural networks En- hanced associative memory, classification, and learning with active dynamics,

Reference 30

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Drift-Diffusion Matching: Embedding dynamics in latent manifolds of asymmetric neural networks Self-orthogonalizing attractor neural networks emerging from the free energy principle

Reference 31

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Drift-Diffusion Matching: Embedding dynamics in latent manifolds of asymmetric neural networks Nonequilibrium thermodynamics of associative memory continuous-time recurrent neural net- works,

Reference 32

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Drift-Diffusion Matching: Embedding dynamics in latent manifolds of asymmetric neural networks Statistical mechanics of recurrent neural networks I—Statics,

Reference 33

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Drift-Diffusion Matching: Embedding dynamics in latent manifolds of asymmetric neural networks Statistical mechanics of recurrent neural networks II — Dynamics,

Reference 34

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Drift-Diffusion Matching: Embedding dynamics in latent manifolds of asymmetric neural networks A neural manifold view of the brain,

Reference 35

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Drift-Diffusion Matching: Embedding dynamics in latent manifolds of asymmetric neural networks Neu- ral manifolds for the control of movement,

Reference 36

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Drift-Diffusion Matching: Embedding dynamics in latent manifolds of asymmetric neural networks Opening the black box: low- dimensional dynamics in high-dimensional recurrent neural networks,

Reference 37

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Drift-Diffusion Matching: Embedding dynamics in latent manifolds of asymmetric neural networks Linking connectivity, dy- namics, and computations in low-rank recurrent neural net- works,

Reference 38

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This paper cites High-dimensional neuronal activity from low-dimensional latent dynamics: a solvable model,.

Drift-Diffusion Matching: Embedding dynamics in latent manifolds of asymmetric neural networks High-dimensional neuronal activity from low-dimensional latent dynamics: a solvable model,

Reference 39

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Drift-Diffusion Matching: Embedding dynamics in latent manifolds of asymmetric neural networks The low-rank hypothesis of complex systems,

Reference 40

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Drift-Diffusion Matching: Embedding dynamics in latent manifolds of asymmetric neural networks Predicting network dynamics without requiring the knowledge of the interaction graph,

Reference 41

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Drift-Diffusion Matching: Embedding dynamics in latent manifolds of asymmetric neural networks Testing the mani- fold hypothesis,

Reference 42

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Drift-Diffusion Matching: Embedding dynamics in latent manifolds of asymmetric neural networks Neural manifold analysis of brain circuit dynamics in health and disease,

Reference 43

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Drift-Diffusion Matching: Embedding dynamics in latent manifolds of asymmetric neural networks Time for memories,

Reference 44

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Drift-Diffusion Matching: Embedding dynamics in latent manifolds of asymmetric neural networks The ”echo state

Reference 45

Resolution: unresolved; no resolver link, observed 2026-08-02T23:10:44.273804Z

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Drift-Diffusion Matching: Embedding dynamics in latent manifolds of asymmetric neural networks Eliasmith and C

Reference 46

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Drift-Diffusion Matching: Embedding dynamics in latent manifolds of asymmetric neural networks Backpropagation through time: what it does and how to do it,

Reference 47

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Drift-Diffusion Matching: Embedding dynamics in latent manifolds of asymmetric neural networks Learning long-term de- pendencies with gradient descent is difficult,

Reference 48

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Drift-Diffusion Matching: Embedding dynamics in latent manifolds of asymmetric neural networks Multilayer feedfor- ward networks are universal approximators,

Reference 49

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Drift-Diffusion Matching: Embedding dynamics in latent manifolds of asymmetric neural networks Goodfellow, Y

Reference 50

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Drift-Diffusion Matching: Embedding dynamics in latent manifolds of asymmetric neural networks Helmholtz decomposition and po- tential functions for n-dimensional analytic vector fields,

Reference 51

Resolution: unresolved; no resolver link, observed 2026-08-02T23:10:44.642983Z

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Drift-Diffusion Matching: Embedding dynamics in latent manifolds of asymmetric neural networks The entropy production of stationary diffusions,

Reference 52

Resolution: unresolved; no resolver link, observed 2026-08-02T23:10:44.655617Z

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Drift-Diffusion Matching: Embedding dynamics in latent manifolds of asymmetric neural networks Non-reversible processes: GENERIC, hypocoercivity and fluctuations,

Reference 53

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Drift-Diffusion Matching: Embedding dynamics in latent manifolds of asymmetric neural networks Unresolved cited work

Reference 54

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This paper cites A novel three-dimensional au- tonomous chaotic system generating two, three and four-scroll attractors,.

Drift-Diffusion Matching: Embedding dynamics in latent manifolds of asymmetric neural networks A novel three-dimensional au- tonomous chaotic system generating two, three and four-scroll attractors,

Reference 55

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Drift-Diffusion Matching: Embedding dynamics in latent manifolds of asymmetric neural networks LIII. On lines and planes of closest fit to sys- tems of points in space,

Reference 56

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Observation 57414585-4a84-4b39-a4f1-ca05b0acad60 · outbound

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Drift-Diffusion Matching: Embedding dynamics in latent manifolds of asymmetric neural networks Neu- ral population dynamics during reaching,

Reference 57

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Drift-Diffusion Matching: Embedding dynamics in latent manifolds of asymmetric neural networks Dimensionality reduction for large-scale neural recordings,

Reference 58

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This paper cites Recurrent neural network models for working memory of continuous variables: activity manifolds, connectivity patterns, and dynamic codes.

Drift-Diffusion Matching: Embedding dynamics in latent manifolds of asymmetric neural networks Recurrent neural network models for working memory of continuous variables: activity manifolds, connectivity patterns, and dynamic codes

Reference 59

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Drift-Diffusion Matching: Embedding dynamics in latent manifolds of asymmetric neural networks Vidal, Y

Reference 60

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Drift-Diffusion Matching: Embedding dynamics in latent manifolds of asymmetric neural networks Free energy, value, and attractors,

Reference 61

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Drift-Diffusion Matching: Embedding dynamics in latent manifolds of asymmetric neural networks Energy-based models,

Reference 62

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Drift-Diffusion Matching: Embedding dynamics in latent manifolds of asymmetric neural networks Broken detailed balance and entropy production in directed networks,

Reference 63

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Drift-Diffusion Matching: Embedding dynamics in latent manifolds of asymmetric neural networks Non- reciprocal phase transitions,

Reference 64

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Drift-Diffusion Matching: Embedding dynamics in latent manifolds of asymmetric neural networks Curl descent: Non-gradient learning dynamics with sign-diverse plasticity,

Reference 65

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Drift-Diffusion Matching: Embedding dynamics in latent manifolds of asymmetric neural networks Jiang, M

Reference 66

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Drift-Diffusion Matching: Embedding dynamics in latent manifolds of asymmetric neural networks Unresolved cited work

Reference 67

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Drift-Diffusion Matching: Embedding dynamics in latent manifolds of asymmetric neural networks Engineering recurrent neural networks from task-relevant manifolds and dynamics,

Reference 68

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Drift-Diffusion Matching: Embedding dynamics in latent manifolds of asymmetric neural networks Theory of orientation tuning in visual cortex,

Reference 69

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Drift-Diffusion Matching: Embedding dynamics in latent manifolds of asymmetric neural networks Shaping manifolds in equivariant recurrent neural networks,

Reference 70

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Drift-Diffusion Matching: Embedding dynamics in latent manifolds of asymmetric neural networks Recurrent network models of sequence generation and memory,

Reference 71

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Drift-Diffusion Matching: Embedding dynamics in latent manifolds of asymmetric neural networks Nonequilibrium thermodynamics of the asymmetric Sherrington-Kirkpatrick model,

Reference 72

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Drift-Diffusion Matching: Embedding dynamics in latent manifolds of asymmetric neural networks A unifying framework for mean-field theories of asymmetric kinetic Ising systems,

Reference 73

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Drift-Diffusion Matching: Embedding dynamics in latent manifolds of asymmetric neural networks Decomposing the local arrow of time in interacting systems,

Reference 74

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Drift-Diffusion Matching: Embedding dynamics in latent manifolds of asymmetric neural networks A complete recipe for stochastic gradient MCMC,

Reference 75

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Drift-Diffusion Matching: Embedding dynamics in latent manifolds of asymmetric neural networks Kloeden and E

Reference 76

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Drift-Diffusion Matching: Embedding dynamics in latent manifolds of asymmetric neural networks Hastie, R

Reference 77

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Drift-Diffusion Matching: Embedding dynamics in latent manifolds of asymmetric neural networks Scipy 1.0: fundamental algorithms for scientific comput- ing in Python,

Reference 78

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Drift-Diffusion Matching: Embedding dynamics in latent manifolds of asymmetric neural networks Unresolved cited work

Reference 79

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Drift-Diffusion Matching: Embedding dynamics in latent manifolds of asymmetric neural networks Unresolved cited work

Reference 80

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Drift-Diffusion Matching: Embedding dynamics in latent manifolds of asymmetric neural networks Coarse-graining nonequilibrium diffusions with Markov chains

Reference 81

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