346 related articles for article (PubMed ID: 27286251)
1. 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]
2. Reward-dependent learning in neuronal networks for planning and decision making.
Dehaene S; Changeux JP
Prog Brain Res; 2000; 126():217-29. PubMed ID: 11105649
[TBL] [Abstract][Full Text] [Related]
3. Context-dependent computation by recurrent dynamics in prefrontal cortex.
Mante V; Sussillo D; Shenoy KV; Newsome WT
Nature; 2013 Nov; 503(7474):78-84. PubMed ID: 24201281
[TBL] [Abstract][Full Text] [Related]
4. Stable and Dynamic Coding for Working Memory in Primate Prefrontal Cortex.
Spaak E; Watanabe K; Funahashi S; Stokes MG
J Neurosci; 2017 Jul; 37(27):6503-6516. PubMed ID: 28559375
[TBL] [Abstract][Full Text] [Related]
5. Hebbian Learning in a Random Network Captures Selectivity Properties of the Prefrontal Cortex.
Lindsay GW; Rigotti M; Warden MR; Miller EK; Fusi S
J Neurosci; 2017 Nov; 37(45):11021-11036. PubMed ID: 28986463
[TBL] [Abstract][Full Text] [Related]
6. Biologically plausible learning in recurrent neural networks reproduces neural dynamics observed during cognitive tasks.
Miconi T
Elife; 2017 Feb; 6():. PubMed ID: 28230528
[TBL] [Abstract][Full Text] [Related]
7. Integration of velocity-dependent spatio-temporal structure of place cell activation during navigation in a reservoir model of prefrontal cortex.
Scleidorovich P; Weitzenfeld A; Fellous JM; Dominey PF
Biol Cybern; 2022 Dec; 116(5-6):585-610. PubMed ID: 36222887
[TBL] [Abstract][Full Text] [Related]
8. Neural Population Dynamics during Reaching Are Better Explained by a Dynamical System than Representational Tuning.
Michaels JA; Dann B; Scherberger H
PLoS Comput Biol; 2016 Nov; 12(11):e1005175. PubMed ID: 27814352
[TBL] [Abstract][Full Text] [Related]
9. Computing by Robust Transience: How the Fronto-Parietal Network Performs Sequential, Category-Based Decisions.
Chaisangmongkon W; Swaminathan SK; Freedman DJ; Wang XJ
Neuron; 2017 Mar; 93(6):1504-1517.e4. PubMed ID: 28334612
[TBL] [Abstract][Full Text] [Related]
10. Driving reservoir models with oscillations: a solution to the extreme structural sensitivity of chaotic networks.
Vincent-Lamarre P; Lajoie G; Thivierge JP
J Comput Neurosci; 2016 Dec; 41(3):305-322. PubMed ID: 27585661
[TBL] [Abstract][Full Text] [Related]
11. Prefrontal Cortex Networks Shift from External to Internal Modes during Learning.
Brincat SL; Miller EK
J Neurosci; 2016 Sep; 36(37):9739-54. PubMed ID: 27629722
[TBL] [Abstract][Full Text] [Related]
12. A three-layered model of primate prefrontal cortex encodes identity and abstract categorical structure of behavioral sequences.
Hinaut X; Dominey PF
J Physiol Paris; 2011; 105(1-3):16-24. PubMed ID: 21939760
[TBL] [Abstract][Full Text] [Related]
13. Internal representation of task rules by recurrent dynamics: the importance of the diversity of neural responses.
Rigotti M; Ben Dayan Rubin D; Wang XJ; Fusi S
Front Comput Neurosci; 2010; 4():24. PubMed ID: 21048899
[TBL] [Abstract][Full Text] [Related]
14. A Detailed Data-Driven Network Model of Prefrontal Cortex Reproduces Key Features of In Vivo Activity.
Hass J; Hertäg L; Durstewitz D
PLoS Comput Biol; 2016 May; 12(5):e1004930. PubMed ID: 27203563
[TBL] [Abstract][Full Text] [Related]
15. Representational switching by dynamical reorganization of attractor structure in a network model of the prefrontal cortex.
Katori Y; Sakamoto K; Saito N; Tanji J; Mushiake H; Aihara K
PLoS Comput Biol; 2011 Nov; 7(11):e1002266. PubMed ID: 22102803
[TBL] [Abstract][Full Text] [Related]
16. Temporal integration by stochastic recurrent network dynamics with bimodal neurons.
Okamoto H; Isomura Y; Takada M; Fukai T
J Neurophysiol; 2007 Jun; 97(6):3859-67. PubMed ID: 17392417
[TBL] [Abstract][Full Text] [Related]
17. Hierarchical Error Representation: A Computational Model of Anterior Cingulate and Dorsolateral Prefrontal Cortex.
Alexander WH; Brown JW
Neural Comput; 2015 Nov; 27(11):2354-410. PubMed ID: 26378874
[TBL] [Abstract][Full Text] [Related]
18. A Reservoir Computing Model of Reward-Modulated Motor Learning and Automaticity.
Pyle R; Rosenbaum R
Neural Comput; 2019 Jul; 31(7):1430-1461. PubMed ID: 31113300
[TBL] [Abstract][Full Text] [Related]
19. Functional identification of biological neural networks using reservoir adaptation for point processes.
Gürel T; Rotter S; Egert U
J Comput Neurosci; 2010 Aug; 29(1-2):279-299. PubMed ID: 19639401
[TBL] [Abstract][Full Text] [Related]
20.
; ; . PubMed ID:
[No Abstract] [Full Text] [Related]
[Next] [New Search]
