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Michael E Rule

Showing results (1-10 of 13) with videos related to

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Proceedings of the National Academy of Sciences of the United States of America|February 11, 2022
Self-healing codes: How stable neural populations can track continually reconfiguring neural representationsMichael E Rule, Timothy O'Leary
Current Opinion in Neurobiology|October 1, 2019
Causes and consequences of representational driftMichael E Rule, Timothy O'Leary, Christopher D Harvey
Plos Computational Biology|October 11, 2021
The information theory of developmental pruning: Optimizing global network architectures using local synaptic rulesCarolin Scholl, Michael E Rule, Matthias H Hennig
Entropy (Basel, Switzerland)|December 8, 2020
Optimal Encoding in Stochastic Latent-Variable ModelsMichael E Rule, Martino Sorbaro, Matthias H Hennig
Plos Computational Biology|November 5, 2019
Neural field models for latent state inference: Application to large-scale neuronal recordingsMichael E Rule, David Schnoerr, Matthias H Hennig, et al.
Frontiers in Systems Neuroscience|July 10, 2015
Contribution of LFP dynamics to single-neuron spiking variability in motor cortex during movement executionMichael E Rule, Carlos Vargas-Irwin, John P Donoghue, et al.
Journal of Neurophysiology|February 15, 2018
Phase reorganization leads to transient β-LFP spatial wave patterns in motor cortex during steady-state movement preparationMichael E Rule, Carlos Vargas-Irwin, John P Donoghue, et al.
Journal of Neurophysiology|January 20, 2017
Dissociation between sustained single-neuron spiking and transient β-LFP oscillations in primate motor cortexMichael E Rule, Carlos E Vargas-Irwin, John P Donoghue, et al.
Plos Computational Biology|February 17, 2026
Information theoretic measures of neural and behavioural coupling predict representational driftKristine Heiney, Mónika Józsa, Michael E Rule, et al.
Elife|July 15, 2020
Stable task information from an unstable neural populationMichael E Rule, Adrianna R Loback, Dhruva V Raman, et al.
Pageof 2

Showing results (1-10 of 13) with videos related to

Sort By:
Pageof 2
Proceedings of the National Academy of Sciences of the United States of America|February 11, 2022
Self-healing codes: How stable neural populations can track continually reconfiguring neural representationsMichael E Rule, Timothy O'Leary
Current Opinion in Neurobiology|October 1, 2019
Causes and consequences of representational driftMichael E Rule, Timothy O'Leary, Christopher D Harvey
Plos Computational Biology|October 11, 2021
The information theory of developmental pruning: Optimizing global network architectures using local synaptic rulesCarolin Scholl, Michael E Rule, Matthias H Hennig
Entropy (Basel, Switzerland)|December 8, 2020
Optimal Encoding in Stochastic Latent-Variable ModelsMichael E Rule, Martino Sorbaro, Matthias H Hennig
Plos Computational Biology|November 5, 2019
Neural field models for latent state inference: Application to large-scale neuronal recordingsMichael E Rule, David Schnoerr, Matthias H Hennig, et al.
Frontiers in Systems Neuroscience|July 10, 2015
Contribution of LFP dynamics to single-neuron spiking variability in motor cortex during movement executionMichael E Rule, Carlos Vargas-Irwin, John P Donoghue, et al.
Journal of Neurophysiology|February 15, 2018
Phase reorganization leads to transient β-LFP spatial wave patterns in motor cortex during steady-state movement preparationMichael E Rule, Carlos Vargas-Irwin, John P Donoghue, et al.
Journal of Neurophysiology|January 20, 2017
Dissociation between sustained single-neuron spiking and transient β-LFP oscillations in primate motor cortexMichael E Rule, Carlos E Vargas-Irwin, John P Donoghue, et al.
Plos Computational Biology|February 17, 2026
Information theoretic measures of neural and behavioural coupling predict representational driftKristine Heiney, Mónika Józsa, Michael E Rule, et al.
Elife|July 15, 2020
Stable task information from an unstable neural populationMichael E Rule, Adrianna R Loback, Dhruva V Raman, et al.
Pageof 2