The University of Chicago Header Logo

Connection

Brent Doiron to Models, Neurological

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

9.744
  1. Between-area communication through the lens of within-area neuronal dynamics. Sci Adv. 2024 10 18; 10(42):eadl6120.
    View in: PubMed
    Score: 0.672
  2. The mechanics of correlated variability in segregated cortical excitatory subnetworks. Proc Natl Acad Sci U S A. 2024 07 09; 121(28):e2306800121.
    View in: PubMed
    Score: 0.658
  3. Sampling-based Bayesian inference in recurrent circuits of stochastic spiking neurons. Nat Commun. 2023 11 04; 14(1):7074.
    View in: PubMed
    Score: 0.629
  4. Training and Spontaneous Reinforcement of Neuronal Assemblies by Spike Timing Plasticity. Cereb Cortex. 2019 03 01; 29(3):937-951.
    View in: PubMed
    Score: 0.455
  5. Circuit Models of Low-Dimensional Shared Variability in Cortical Networks. Neuron. 2019 01 16; 101(2):337-348.e4.
    View in: PubMed
    Score: 0.448
  6. Once upon a (slow) time in the land of recurrent neuronal networks…. Curr Opin Neurobiol. 2017 10; 46:31-38.
    View in: PubMed
    Score: 0.407
  7. Inhibitory stabilization and visual coding in cortical circuits with multiple interneuron subtypes. J Neurophysiol. 2016 Mar; 115(3):1399-409.
    View in: PubMed
    Score: 0.365
  8. Self-Organization of Microcircuits in Networks of Spiking Neurons with Plastic Synapses. PLoS Comput Biol. 2015 Aug; 11(8):e1004458.
    View in: PubMed
    Score: 0.356
  9. Kv7 channels regulate pairwise spiking covariability in health and disease. J Neurophysiol. 2014 Jul 15; 112(2):340-52.
    View in: PubMed
    Score: 0.325
  10. Short-term synaptic depression and stochastic vesicle dynamics reduce and shape neuronal correlations. J Neurophysiol. 2013 Jan; 109(2):475-84.
    View in: PubMed
    Score: 0.293
  11. Slow dynamics and high variability in balanced cortical networks with clustered connections. Nat Neurosci. 2012 Nov; 15(11):1498-505.
    View in: PubMed
    Score: 0.291
  12. The spatial structure of stimuli shapes the timescale of correlations in population spiking activity. PLoS Comput Biol. 2012; 8(9):e1002667.
    View in: PubMed
    Score: 0.290
  13. Short term synaptic depression imposes a frequency dependent filter on synaptic information transfer. PLoS Comput Biol. 2012; 8(6):e1002557.
    View in: PubMed
    Score: 0.286
  14. Correlated neural variability in persistent state networks. Proc Natl Acad Sci U S A. 2012 Apr 17; 109(16):6295-300.
    View in: PubMed
    Score: 0.282
  15. Balanced synaptic input shapes the correlation between neural spike trains. PLoS Comput Biol. 2011 Dec; 7(12):e1002305.
    View in: PubMed
    Score: 0.276
  16. Divisive gain modulation with dynamic stimuli in integrate-and-fire neurons. PLoS Comput Biol. 2009 Apr; 5(4):e1000365.
    View in: PubMed
    Score: 0.230
  17. Correlation and synchrony transfer in integrate-and-fire neurons: basic properties and consequences for coding. Phys Rev Lett. 2008 Mar 14; 100(10):108102.
    View in: PubMed
    Score: 0.213
  18. Gamma oscillations of spiking neural populations enhance signal discrimination. PLoS Comput Biol. 2007 Nov; 3(11):e236.
    View in: PubMed
    Score: 0.207
  19. The structure of correlated variability reflects task-relevant information in sensory neurons. Proc Natl Acad Sci U S A. 2026 Jul 14; 123(28):e2523217123.
    View in: PubMed
    Score: 0.189
  20. Interleaving asynchronous and synchronous activity in balanced cortical networks with short term synaptic depression. Nat Commun. 2025 Sep 30; 16(1):8657.
    View in: PubMed
    Score: 0.179
  21. Untangling stability and gain modulation in cortical circuits with multiple interneuron classes. Elife. 2025 Apr 30; 13.
    View in: PubMed
    Score: 0.174
  22. Automated customization of large-scale spiking network models to neuronal population activity. Nat Comput Sci. 2024 09; 4(9):690-705.
    View in: PubMed
    Score: 0.167
  23. Oscillatory activity in electrosensory neurons increases with the spatial correlation of the stochastic input stimulus. Phys Rev Lett. 2004 Jul 23; 93(4):048101.
    View in: PubMed
    Score: 0.165
  24. Noise-induced divisive gain control in neuron models. Biosystems. 2002 Oct-Dec; 67(1-3):147-56.
    View in: PubMed
    Score: 0.146
  25. Ghostbursting: a novel neuronal burst mechanism. J Comput Neurosci. 2002 Jan-Feb; 12(1):5-25.
    View in: PubMed
    Score: 0.138
  26. Model of gamma frequency burst discharge generated by conditional backpropagation. J Neurophysiol. 2001 Oct; 86(4):1523-45.
    View in: PubMed
    Score: 0.136
  27. Subtractive and divisive inhibition: effect of voltage-dependent inhibitory conductances and noise. Neural Comput. 2001 Jan; 13(1):227-48.
    View in: PubMed
    Score: 0.129
  28. Correlation Transfer by Layer 5 Cortical Neurons Under Recreated Synaptic Inputs In Vitro. J Neurosci. 2019 09 25; 39(39):7648-7663.
    View in: PubMed
    Score: 0.117
  29. From the statistics of connectivity to the statistics of spike times in neuronal networks. Curr Opin Neurobiol. 2017 10; 46:109-119.
    View in: PubMed
    Score: 0.102
  30. Attentional modulation of neuronal variability in circuit models of cortex. Elife. 2017 06 07; 6.
    View in: PubMed
    Score: 0.101
  31. Scaling Properties of Dimensionality Reduction for Neural Populations and Network Models. PLoS Comput Biol. 2016 12; 12(12):e1005141.
    View in: PubMed
    Score: 0.097
  32. The spatial structure of correlated neuronal variability. Nat Neurosci. 2017 01; 20(1):107-114.
    View in: PubMed
    Score: 0.097
  33. The mechanics of state-dependent neural correlations. Nat Neurosci. 2016 Mar; 19(3):383-93.
    View in: PubMed
    Score: 0.092
  34. Formation and maintenance of neuronal assemblies through synaptic plasticity. Nat Commun. 2014 Nov 14; 5:5319.
    View in: PubMed
    Score: 0.084
  35. Optimizing working memory with heterogeneity of recurrent cortical excitation. J Neurosci. 2013 Nov 27; 33(48):18999-9011.
    View in: PubMed
    Score: 0.079
  36. Combined LTP and LTD of modulatory inputs controls neuronal processing of primary sensory inputs. J Neurosci. 2011 Jul 20; 31(29):10579-92.
    View in: PubMed
    Score: 0.067
  37. Timescale-dependent shaping of correlation by olfactory bulb lateral inhibition. Proc Natl Acad Sci U S A. 2011 Apr 05; 108(14):5843-8.
    View in: PubMed
    Score: 0.066
  38. Slope-based stochastic resonance: how noise enables phasic neurons to encode slow signals. PLoS Comput Biol. 2010 Jun 24; 6(6):e1000825.
    View in: PubMed
    Score: 0.062
  39. Noise-gated encoding of slow inputs by auditory brain stem neurons with a low-threshold K+ current. J Neurophysiol. 2009 Dec; 102(6):3447-60.
    View in: PubMed
    Score: 0.059
  40. Subthreshold K+ channel dynamics interact with stimulus spectrum to influence temporal coding in an auditory brain stem model. J Neurophysiol. 2008 Feb; 99(2):534-44.
    View in: PubMed
    Score: 0.052
  41. Interval coding. II. Dendrite-dependent mechanisms. J Neurophysiol. 2007 Apr; 97(4):2744-57.
    View in: PubMed
    Score: 0.050
  42. Towards blueprints for network architecture, biophysical dynamics and signal transduction. Philos Trans A Math Phys Eng Sci. 2006 Dec 15; 364(1849):3301-18.
    View in: PubMed
    Score: 0.049
  43. Stochastic synchronization in finite size spiking networks. Phys Rev E Stat Nonlin Soft Matter Phys. 2006 Sep; 74(3 Pt 1):030903.
    View in: PubMed
    Score: 0.048
  44. Theory of oscillatory firing induced by spatially correlated noise and delayed inhibitory feedback. Phys Rev E Stat Nonlin Soft Matter Phys. 2005 Dec; 72(6 Pt 1):061919.
    View in: PubMed
    Score: 0.046
  45. Deterministic multiplicative gain control with active dendrites. J Neurosci. 2005 Oct 26; 25(43):9968-77.
    View in: PubMed
    Score: 0.045
  46. Coding of temporally varying signals in networks of spiking neurons with global delayed feedback. Neural Comput. 2005 Oct; 17(10):2139-75.
    View in: PubMed
    Score: 0.045
  47. Parallel processing of sensory input by bursts and isolated spikes. J Neurosci. 2004 May 05; 24(18):4351-62.
    View in: PubMed
    Score: 0.041
  48. Inhibitory feedback required for network oscillatory responses to communication but not prey stimuli. Nature. 2003 Jan 30; 421(6922):539-43.
    View in: PubMed
    Score: 0.037
  49. Persistent Na+ current modifies burst discharge by regulating conditional backpropagation of dendritic spikes. J Neurophysiol. 2003 Jan; 89(1):324-37.
    View in: PubMed
    Score: 0.037
  50. Bridging large-scale neuronal recordings and large-scale network models using dimensionality reduction. Curr Opin Neurobiol. 2019 04; 55:40-47.
    View in: PubMed
    Score: 0.028
  51. Population activity structure of excitatory and inhibitory neurons. PLoS One. 2017; 12(8):e0181773.
    View in: PubMed
    Score: 0.026
  52. Axonal and synaptic failure suppress the transfer of firing rate oscillations, synchrony and information during high frequency deep brain stimulation. Neurobiol Dis. 2014 Feb; 62:86-99.
    View in: PubMed
    Score: 0.019
  53. Neural correlation is stimulus modulated by feedforward inhibitory circuitry. J Neurosci. 2012 Jan 11; 32(2):506-18.
    View in: PubMed
    Score: 0.017
  54. Stimulus-dependent correlations and population codes. Neural Comput. 2009 Oct; 21(10):2774-804.
    View in: PubMed
    Score: 0.015
  55. Feedback-induced gain control in stochastic spiking networks. Biol Cybern. 2009 Jun; 100(6):475-89.
    View in: PubMed
    Score: 0.014
  56. Regulation of somatic firing dynamics by backpropagating dendritic spikes. J Physiol Paris. 2008 Jul-Nov; 102(4-6):181-94.
    View in: PubMed
    Score: 0.014
  57. Correlation between neural spike trains increases with firing rate. Nature. 2007 Aug 16; 448(7155):802-6.
    View in: PubMed
    Score: 0.013
  58. Non-classical receptive field mediates switch in a sensory neuron's frequency tuning. Nature. 2003 May 01; 423(6935):77-81.
    View in: PubMed
    Score: 0.009
  59. Type I burst excitability. J Comput Neurosci. 2003 May-Jun; 14(3):329-42.
    View in: PubMed
    Score: 0.009
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.