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Connection

Jason Maclean to Models, Neurological

This is a "connection" page, showing publications Jason Maclean has written about Models, Neurological.
Connection Strength

4.195
  1. Task success in trained spiking neural network models coincides with emergence of cross-stimulus-modulated inhibition. Biol Cybern. 2026 Jan 07; 120(1):2.
    View in: PubMed
    Score: 0.732
  2. Cyclic transitions between higher order motifs underlie sustained asynchronous spiking in sparse recurrent networks. PLoS Comput Biol. 2020 09; 16(9):e1007409.
    View in: PubMed
    Score: 0.508
  3. Recurrent interactions can explain the variance in single trial responses. PLoS Comput Biol. 2020 01; 16(1):e1007591.
    View in: PubMed
    Score: 0.485
  4. Functional triplet motifs underlie accurate predictions of single-trial responses in populations of tuned and untuned V1 neurons. PLoS Comput Biol. 2018 05; 14(5):e1006153.
    View in: PubMed
    Score: 0.430
  5. Emergent cortical circuit dynamics contain dense, interwoven ensembles of spike sequences. J Neurophysiol. 2017 09 01; 118(3):1914-1925.
    View in: PubMed
    Score: 0.407
  6. Higher-Order Synaptic Interactions Coordinate Dynamics in Recurrent Networks. PLoS Comput Biol. 2016 08; 12(8):e1005078.
    View in: PubMed
    Score: 0.382
  7. Multineuronal activity patterns identify selective synaptic connections under realistic experimental constraints. J Neurophysiol. 2015 Sep; 114(3):1837-49.
    View in: PubMed
    Score: 0.354
  8. Activity-independent coregulation of IA and Ih in rhythmically active neurons. J Neurophysiol. 2005 Nov; 94(5):3601-17.
    View in: PubMed
    Score: 0.177
  9. Large-Scale Algorithmic Search Identifies Stiff and Sloppy Dimensions in Synaptic Architectures Consistent With Murine Neocortical Wiring. Neural Comput. 2022 11 08; 34(12):2347-2373.
    View in: PubMed
    Score: 0.147
  10. Network Analysis of Murine Cortical Dynamics Implicates Untuned Neurons in Visual Stimulus Coding. Cell Rep. 2020 04 14; 31(2):107483.
    View in: PubMed
    Score: 0.123
  11. Learning to make external sensory stimulus predictions using internal correlations in populations of neurons. Proc Natl Acad Sci U S A. 2018 01 30; 115(5):1105-1110.
    View in: PubMed
    Score: 0.105
  12. Spontaneous activations follow a common developmental course across primary sensory areas in mouse neocortex. J Neurophysiol. 2016 08 01; 116(2):431-7.
    View in: PubMed
    Score: 0.094
  13. Analysis of graph invariants in functional neocortical circuitry reveals generalized features common to three areas of sensory cortex. PLoS Comput Biol. 2014 Jul; 10(7):e1003710.
    View in: PubMed
    Score: 0.082
  14. Mouse visual neocortex supports multiple stereotyped patterns of microcircuit activity. J Neurosci. 2014 Jun 04; 34(23):7769-77.
    View in: PubMed
    Score: 0.082
  15. A visual thalamocortical slice. Nat Methods. 2006 Feb; 3(2):129-34.
    View in: PubMed
    Score: 0.046
  16. A dynamic subset of network interactions underlies tuning to natural movements in marmoset sensorimotor cortex. Nat Commun. 2024 12 03; 15(1):10517.
    View in: PubMed
    Score: 0.042
Connection Strength

The connection strength for concepts is the sum of the scores for each matching publication.

Publication scores are based on many factors, including how long ago they were written and whether the person is a first or senior author.