188 related articles for article (PubMed ID: 32785228)
1. Engineering recurrent neural networks from task-relevant manifolds and dynamics.
Pollock E; Jazayeri M
PLoS Comput Biol; 2020 Aug; 16(8):e1008128. PubMed ID: 32785228
[TBL] [Abstract][Full Text] [Related]
2. Slow manifolds within network dynamics encode working memory efficiently and robustly.
Ghazizadeh E; Ching S
PLoS Comput Biol; 2021 Sep; 17(9):e1009366. PubMed ID: 34525089
[TBL] [Abstract][Full Text] [Related]
3. Task representations in neural networks trained to perform many cognitive tasks.
Yang GR; Joglekar MR; Song HF; Newsome WT; Wang XJ
Nat Neurosci; 2019 Feb; 22(2):297-306. PubMed ID: 30643294
[TBL] [Abstract][Full Text] [Related]
4. Linking Connectivity, Dynamics, and Computations in Low-Rank Recurrent Neural Networks.
Mastrogiuseppe F; Ostojic S
Neuron; 2018 Aug; 99(3):609-623.e29. PubMed ID: 30057201
[TBL] [Abstract][Full Text] [Related]
5. Geometry of neural computation unifies working memory and planning.
Ehrlich DB; Murray JD
Proc Natl Acad Sci U S A; 2022 Sep; 119(37):e2115610119. PubMed ID: 36067286
[TBL] [Abstract][Full Text] [Related]
6. Perturbing low dimensional activity manifolds in spiking neuronal networks.
Wärnberg E; Kumar A
PLoS Comput Biol; 2019 May; 15(5):e1007074. PubMed ID: 31150376
[TBL] [Abstract][Full Text] [Related]
7. Learning the Synaptic and Intrinsic Membrane Dynamics Underlying Working Memory in Spiking Neural Network Models.
Li Y; Kim R; Sejnowski TJ
Neural Comput; 2021 Nov; 33(12):3264-3287. PubMed ID: 34710902
[TBL] [Abstract][Full Text] [Related]
8. Online Learning and Memory of Neural Trajectory Replays for Prefrontal Persistent and Dynamic Representations in the Irregular Asynchronous State.
Sarazin MXB; Victor J; Medernach D; Naudé J; Delord B
Front Neural Circuits; 2021; 15():648538. PubMed ID: 34305535
[TBL] [Abstract][Full Text] [Related]
9. Learning to represent continuous variables in heterogeneous neural networks.
Darshan R; Rivkind A
Cell Rep; 2022 Apr; 39(1):110612. PubMed ID: 35385721
[TBL] [Abstract][Full Text] [Related]
10. Stochastic Dynamics Underlying Cognitive Stability and Flexibility.
Ueltzhöffer K; Armbruster-Genç DJ; Fiebach CJ
PLoS Comput Biol; 2015 Jun; 11(6):e1004331. PubMed ID: 26068119
[TBL] [Abstract][Full Text] [Related]
11. Differential Geometry Methods for Constructing Manifold-Targeted Recurrent Neural Networks.
Claudi F; Branco T
Neural Comput; 2022 Jul; 34(8):1790-1811. PubMed ID: 35798324
[TBL] [Abstract][Full Text] [Related]
12. Separability and geometry of object manifolds in deep neural networks.
Cohen U; Chung S; Lee DD; Sompolinsky H
Nat Commun; 2020 Feb; 11(1):746. PubMed ID: 32029727
[TBL] [Abstract][Full Text] [Related]
13. Optimizing working memory with heterogeneity of recurrent cortical excitation.
Kilpatrick ZP; Ermentrout B; Doiron B
J Neurosci; 2013 Nov; 33(48):18999-9011. PubMed ID: 24285904
[TBL] [Abstract][Full Text] [Related]
14. From distributed resources to limited slots in multiple-item working memory: a spiking network model with normalization.
Wei Z; Wang XJ; Wang DH
J Neurosci; 2012 Aug; 32(33):11228-40. PubMed ID: 22895707
[TBL] [Abstract][Full Text] [Related]
15. Flexible Working Memory Through Selective Gating and Attentional Tagging.
Kruijne W; Bohte SM; Roelfsema PR; Olivers CNL
Neural Comput; 2021 Jan; 33(1):1-40. PubMed ID: 33080159
[TBL] [Abstract][Full Text] [Related]
16. The impact of sparsity in low-rank recurrent neural networks.
Herbert E; Ostojic S
PLoS Comput Biol; 2022 Aug; 18(8):e1010426. PubMed ID: 35944030
[TBL] [Abstract][Full Text] [Related]
17. Reservoir Computing Properties of Neural Dynamics in Prefrontal Cortex.
Enel P; Procyk E; Quilodran R; Dominey PF
PLoS Comput Biol; 2016 Jun; 12(6):e1004967. PubMed ID: 27286251
[TBL] [Abstract][Full Text] [Related]
18. Neural Classifiers with Limited Connectivity and Recurrent Readouts.
Kushnir L; Fusi S
J Neurosci; 2018 Nov; 38(46):9900-9924. PubMed ID: 30249794
[TBL] [Abstract][Full Text] [Related]
19. A unifying perspective on neural manifolds and circuits for cognition.
Langdon C; Genkin M; Engel TA
Nat Rev Neurosci; 2023 Jun; 24(6):363-377. PubMed ID: 37055616
[TBL] [Abstract][Full Text] [Related]
20. Stable population coding for working memory coexists with heterogeneous neural dynamics in prefrontal cortex.
Murray JD; Bernacchia A; Roy NA; Constantinidis C; Romo R; Wang XJ
Proc Natl Acad Sci U S A; 2017 Jan; 114(2):394-399. PubMed ID: 28028221
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
