Format
Sort by
Items per page

Send to

Choose Destination

Search results

Items: 45

1.

Dimensionality in recurrent spiking networks: Global trends in activity and local origins in connectivity.

Recanatesi S, Ocker GK, Buice MA, Shea-Brown E.

PLoS Comput Biol. 2019 Jul 12;15(7):e1006446. doi: 10.1371/journal.pcbi.1006446. eCollection 2019 Jul.

2.

Computational Neuroscience: Mathematical and Statistical Perspectives.

Kass RE, Amari SI, Arai K, Brown EN, Diekman CO, Diesmann M, Doiron B, Eden UT, Fairhall AL, Fiddyment GM, Fukai T, Grün S, Harrison MT, Helias M, Nakahara H, Teramae JN, Thomas PJ, Reimers M, Rodu J, Rotstein HG, Shea-Brown E, Shimazaki H, Shinomoto S, Yu BM, Kramer MA.

Annu Rev Stat Appl. 2018 Mar;5:183-214. doi: 10.1146/annurev-statistics-041715-033733. Epub 2017 Dec 8.

3.

High-resolution data-driven model of the mouse connectome.

Knox JE, Harris KD, Graddis N, Whitesell JD, Zeng H, Harris JA, Shea-Brown E, Mihalas S.

Netw Neurosci. 2018 Dec 1;3(1):217-236. doi: 10.1162/netn_a_00066. eCollection 2019.

4.

Predicting how and when hidden neurons skew measured synaptic interactions.

Brinkman BAW, Rieke F, Shea-Brown E, Buice MA.

PLoS Comput Biol. 2018 Oct 22;14(10):e1006490. doi: 10.1371/journal.pcbi.1006490. eCollection 2018 Oct.

5.

Predictive Coding in Area V4: Dynamic Shape Discrimination under Partial Occlusion.

Choi H, Pasupathy A, Shea-Brown E.

Neural Comput. 2018 May;30(5):1209-1257. doi: 10.1162/NECO_a_01072. Epub 2018 Mar 22.

6.

Dynamic representation of partially occluded objects in primate prefrontal and visual cortex.

Fyall AM, El-Shamayleh Y, Choi H, Shea-Brown E, Pasupathy A.

Elife. 2017 Sep 19;6. pii: e25784. doi: 10.7554/eLife.25784.

7.

From the statistics of connectivity to the statistics of spike times in neuronal networks.

Ocker GK, Hu Y, Buice MA, Doiron B, Josić K, Rosenbaum R, Shea-Brown E.

Curr Opin Neurobiol. 2017 Oct;46:109-119. doi: 10.1016/j.conb.2017.07.011. Epub 2017 Aug 30. Review.

8.

Linking structure and activity in nonlinear spiking networks.

Ocker GK, Josić K, Shea-Brown E, Buice MA.

PLoS Comput Biol. 2017 Jun 23;13(6):e1005583. doi: 10.1371/journal.pcbi.1005583. eCollection 2017 Jun.

9.

Different roles for inhibition in the rhythm-generating respiratory network.

Harris KD, Dashevskiy T, Mendoza J, Garcia AJ 3rd, Ramirez JM, Shea-Brown E.

J Neurophysiol. 2017 Oct 1;118(4):2070-2088. doi: 10.1152/jn.00174.2017. Epub 2017 Jun 14.

10.

Robust information propagation through noisy neural circuits.

Zylberberg J, Pouget A, Latham PE, Shea-Brown E.

PLoS Comput Biol. 2017 Apr 18;13(4):e1005497. doi: 10.1371/journal.pcbi.1005497. eCollection 2017 Apr.

11.

Encoding in Balanced Networks: Revisiting Spike Patterns and Chaos in Stimulus-Driven Systems.

Lajoie G, Lin KK, Thivierge JP, Shea-Brown E.

PLoS Comput Biol. 2016 Dec 14;12(12):e1005258. doi: 10.1371/journal.pcbi.1005258. eCollection 2016 Dec.

12.

How Do Efficient Coding Strategies Depend on Origins of Noise in Neural Circuits?

Brinkman BA, Weber AI, Rieke F, Shea-Brown E.

PLoS Comput Biol. 2016 Oct 14;12(10):e1005150. doi: 10.1371/journal.pcbi.1005150. eCollection 2016 Oct.

13.

Direction-Selective Circuits Shape Noise to Ensure a Precise Population Code.

Zylberberg J, Cafaro J, Turner MH, Shea-Brown E, Rieke F.

Neuron. 2016 Jan 20;89(2):369-383. doi: 10.1016/j.neuron.2015.11.019.

14.

Input nonlinearities can shape beyond-pairwise correlations and improve information transmission by neural populations.

Zylberberg J, Shea-Brown E.

Phys Rev E Stat Nonlin Soft Matter Phys. 2015 Dec;92(6):062707. doi: 10.1103/PhysRevE.92.062707. Epub 2015 Dec 9.

PMID:
26764727
15.

A Simple Mechanism for Beyond-Pairwise Correlations in Integrate-and-Fire Neurons.

Leen DA, Shea-Brown E.

J Math Neurosci. 2015 Dec;5(1):30. doi: 10.1186/s13408-015-0030-9. Epub 2015 Sep 1.

16.

Constructing Precisely Computing Networks with Biophysical Spiking Neurons.

Schwemmer MA, Fairhall AL, Denéve S, Shea-Brown ET.

J Neurosci. 2015 Jul 15;35(28):10112-34. doi: 10.1523/JNEUROSCI.4951-14.2015.

17.

Triplet correlations among similarly tuned cells impact population coding.

Cayco-Gajic NA, Zylberberg J, Shea-Brown E.

Front Comput Neurosci. 2015 May 18;9:57. doi: 10.3389/fncom.2015.00057. eCollection 2015.

18.

Structured chaos shapes spike-response noise entropy in balanced neural networks.

Lajoie G, Thivierge JP, Shea-Brown E.

Front Comput Neurosci. 2014 Oct 2;8:123. doi: 10.3389/fncom.2014.00123. eCollection 2014.

19.

Local paths to global coherence: cutting networks down to size.

Hu Y, Trousdale J, Josić K, Shea-Brown E.

Phys Rev E Stat Nonlin Soft Matter Phys. 2014 Mar;89(3):032802. Epub 2014 Mar 10.

PMID:
24730894
20.

The sign rule and beyond: boundary effects, flexibility, and noise correlations in neural population codes.

Hu Y, Zylberberg J, Shea-Brown E.

PLoS Comput Biol. 2014 Feb 27;10(2):e1003469. doi: 10.1371/journal.pcbi.1003469. eCollection 2014 Feb.

21.

When do microcircuits produce beyond-pairwise correlations?

Barreiro AK, Gjorgjieva J, Rieke F, Shea-Brown E.

Front Comput Neurosci. 2014 Feb 6;8:10. doi: 10.3389/fncom.2014.00010. eCollection 2014.

22.

A generative spike train model with time-structured higher order correlations.

Trousdale J, Hu Y, Shea-Brown E, Josić K.

Front Comput Neurosci. 2013 Jul 17;7:84. doi: 10.3389/fncom.2013.00084. eCollection 2013.

23.

Chaos and reliability in balanced spiking networks with temporal drive.

Lajoie G, Lin KK, Shea-Brown E.

Phys Rev E Stat Nonlin Soft Matter Phys. 2013 May;87(5):052901. Epub 2013 May 6.

24.

Neutral stability, rate propagation, and critical branching in feedforward networks.

Cayco-Gajic NA, Shea-Brown E.

Neural Comput. 2013 Jul;25(7):1768-806. doi: 10.1162/NECO_a_00461. Epub 2013 Apr 22.

PMID:
23607560
25.

Neural integrators for decision making: a favorable tradeoff between robustness and sensitivity.

Cain N, Barreiro AK, Shadlen M, Shea-Brown E.

J Neurophysiol. 2013 May;109(10):2542-59. doi: 10.1152/jn.00976.2012. Epub 2013 Feb 27.

26.

Impact of correlated neural activity on decision-making performance.

Cain N, Shea-Brown E.

Neural Comput. 2013 Feb;25(2):289-327. doi: 10.1162/NECO_a_00398. Epub 2012 Nov 13.

PMID:
23148409
27.

Information theoretic approaches to understanding circuit function.

Fairhall A, Shea-Brown E, Barreiro A.

Curr Opin Neurobiol. 2012 Aug;22(4):653-9. doi: 10.1016/j.conb.2012.06.005. Epub 2012 Jul 12. Review.

28.

A point process framework for modeling electrical stimulation of the auditory nerve.

Goldwyn JH, Rubinstein JT, Shea-Brown E.

J Neurophysiol. 2012 Sep;108(5):1430-52. doi: 10.1152/jn.00095.2012. Epub 2012 Jun 6.

29.

A-current and type I/type II transition determine collective spiking from common input.

Barreiro AK, Thilo EL, Shea-Brown E.

J Neurophysiol. 2012 Sep;108(6):1631-45. doi: 10.1152/jn.00928.2011. Epub 2012 Jun 6.

30.

Computational models of decision making: integration, stability, and noise.

Cain N, Shea-Brown E.

Curr Opin Neurobiol. 2012 Dec;22(6):1047-53. doi: 10.1016/j.conb.2012.04.013. Epub 2012 May 15. Review.

PMID:
22591667
31.

Impact of network structure and cellular response on spike time correlations.

Trousdale J, Hu Y, Shea-Brown E, Josić K.

PLoS Comput Biol. 2012;8(3):e1002408. doi: 10.1371/journal.pcbi.1002408. Epub 2012 Mar 22.

32.

The what and where of adding channel noise to the Hodgkin-Huxley equations.

Goldwyn JH, Shea-Brown E.

PLoS Comput Biol. 2011 Nov;7(11):e1002247. doi: 10.1371/journal.pcbi.1002247. Epub 2011 Nov 17. Review.

33.

Stochastic differential equation models for ion channel noise in Hodgkin-Huxley neurons.

Goldwyn JH, Imennov NS, Famulare M, Shea-Brown E.

Phys Rev E Stat Nonlin Soft Matter Phys. 2011 Apr;83(4 Pt 1):041908. Epub 2011 Apr 11. Erratum in: Phys Rev E Stat Nonlin Soft Matter Phys. 2011 Apr;83(4 Pt 2):049902.

34.

A heterogeneous population code for elapsed time in rat medial agranular cortex.

Matell MS, Shea-Brown E, Gooch C, Wilson AG, Rinzel J.

Behav Neurosci. 2011 Feb;125(1):54-73. doi: 10.1037/a0021954.

35.

Time scales of spike-train correlation for neural oscillators with common drive.

Barreiro AK, Shea-Brown E, Thilo EL.

Phys Rev E Stat Nonlin Soft Matter Phys. 2010 Jan;81(1 Pt 1):011916. Epub 2010 Jan 27.

PMID:
20365408
36.

Encoding and decoding amplitude-modulated cochlear implant stimuli--a point process analysis.

Goldwyn JH, Shea-Brown E, Rubinstein JT.

J Comput Neurosci. 2010 Jun;28(3):405-24. doi: 10.1007/s10827-010-0224-9. Epub 2010 Feb 23.

37.

Stimulus-dependent correlations and population codes.

Josić K, Shea-Brown E, Doiron B, de la Rocha J.

Neural Comput. 2009 Oct;21(10):2774-804. doi: 10.1162/neco.2009.10-08-879.

PMID:
19635014
38.

Spike-time reliability of layered neural oscillator networks.

Lin KK, Shea-Brown E, Young LS.

J Comput Neurosci. 2009 Aug;27(1):135-60. doi: 10.1007/s10827-008-0133-3. Epub 2009 Jan 21.

PMID:
19156509
39.

Optimization of decision making in multilayer networks: the role of locus coeruleus.

Shea-Brown E, Gilzenrat MS, Cohen JD.

Neural Comput. 2008 Dec;20(12):2863-94. doi: 10.1162/neco.2008.03-07-487.

PMID:
18624653
40.

Correlation and synchrony transfer in integrate-and-fire neurons: basic properties and consequences for coding.

Shea-Brown E, Josić K, de la Rocha J, Doiron B.

Phys Rev Lett. 2008 Mar 14;100(10):108102. Epub 2008 Mar 11.

PMID:
18352234
41.

Correlation between neural spike trains increases with firing rate.

de la Rocha J, Doiron B, Shea-Brown E, Josić K, Reyes A.

Nature. 2007 Aug 16;448(7155):802-6.

PMID:
17700699
42.

Optimal deep brain stimulation of the subthalamic nucleus--a computational study.

Feng XJ, Shea-Brown E, Greenwald B, Kosut R, Rabitz H.

J Comput Neurosci. 2007 Dec;23(3):265-82. Epub 2007 May 5.

PMID:
17484043
43.

Toward closed-loop optimization of deep brain stimulation for Parkinson's disease: concepts and lessons from a computational model.

Feng XJ, Greenwald B, Rabitz H, Shea-Brown E, Kosut R.

J Neural Eng. 2007 Jun;4(2):L14-21. Epub 2007 Feb 22.

PMID:
17409470
44.

Towards blueprints for network architecture, biophysical dynamics and signal transduction.

Coombes S, Doiron B, Josić K, Shea-Brown E.

Philos Trans A Math Phys Eng Sci. 2006 Dec 15;364(1849):3301-18. Review.

PMID:
17090461
45.

A firing rate model of Parkinsonian deficits in interval timing.

Shea-Brown E, Rinzel J, Rakitin BC, Malapani C.

Brain Res. 2006 Jan 27;1070(1):189-201. Epub 2006 Jan 17.

PMID:
16413510

Supplemental Content

Loading ...
Support Center