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Items: 46

1.

Vector-Derived Transformation Binding: An Improved Binding Operation for Deep Symbol-Like Processing in Neural Networks.

Gosmann J, Eliasmith C.

Neural Comput. 2019 May;31(5):849-869. doi: 10.1162/neco_a_01179. Epub 2019 Mar 18.

PMID:
30883282
2.

Inhibiting Basal Ganglia Regions Reduces Syllable Sequencing Errors in Parkinson's Disease: A Computer Simulation Study.

Senft V, Stewart TC, Bekolay T, Eliasmith C, Kröger BJ.

Front Comput Neurosci. 2018 Jun 6;12:41. doi: 10.3389/fncom.2018.00041. eCollection 2018.

3.

Using Neural Networks to Generate Inferential Roles for Natural Language.

Blouw P, Eliasmith C.

Front Psychol. 2018 Jan 17;8:2335. doi: 10.3389/fpsyg.2017.02335. eCollection 2017.

4.

Improving Spiking Dynamical Networks: Accurate Delays, Higher-Order Synapses, and Time Cells.

Voelker AR, Eliasmith C.

Neural Comput. 2018 Mar;30(3):569-609. doi: 10.1162/neco_a_01046. Epub 2017 Dec 8.

PMID:
29220306
5.

A neural model of hierarchical reinforcement learning.

Rasmussen D, Voelker A, Eliasmith C.

PLoS One. 2017 Jul 6;12(7):e0180234. doi: 10.1371/journal.pone.0180234. eCollection 2017.

6.

Automatic Optimization of the Computation Graph in the Nengo Neural Network Simulator.

Gosmann J, Eliasmith C.

Front Neuroinform. 2017 May 4;11:33. doi: 10.3389/fninf.2017.00033. eCollection 2017.

7.

A Spiking Neuron Model of Word Associations for the Remote Associates Test.

Kajić I, Gosmann J, Stewart TC, Wennekers T, Eliasmith C.

Front Psychol. 2017 Feb 2;8:99. doi: 10.3389/fpsyg.2017.00099. eCollection 2017.

8.

Improving With Practice: A Neural Model of Mathematical Development.

Aubin S, Voelker AR, Eliasmith C.

Top Cogn Sci. 2017 Jan;9(1):6-20. doi: 10.1111/tops.12242. Epub 2016 Dec 26.

PMID:
28019687
9.

The Effects of Guanfacine and Phenylephrine on a Spiking Neuron Model of Working Memory.

Duggins P, Stewart TC, Choo X, Eliasmith C.

Top Cogn Sci. 2017 Jan;9(1):117-134. doi: 10.1111/tops.12247. Epub 2016 Dec 21.

PMID:
28001002
10.

A spiking neural model of adaptive arm control.

DeWolf T, Stewart TC, Slotine JJ, Eliasmith C.

Proc Biol Sci. 2016 Nov 30;283(1843). pii: 20162134.

11.

Modeling Interactions between Speech Production and Perception: Speech Error Detection at Semantic and Phonological Levels and the Inner Speech Loop.

Kröger BJ, Crawford E, Bekolay T, Eliasmith C.

Front Comput Neurosci. 2016 May 31;10:51. doi: 10.3389/fncom.2016.00051. eCollection 2016.

12.

Function approximation in inhibitory networks.

Tripp B, Eliasmith C.

Neural Netw. 2016 May;77:95-106. doi: 10.1016/j.neunet.2016.01.010. Epub 2016 Feb 18.

PMID:
26963256
13.

Optimizing Semantic Pointer Representations for Symbol-Like Processing in Spiking Neural Networks.

Gosmann J, Eliasmith C.

PLoS One. 2016 Feb 22;11(2):e0149928. doi: 10.1371/journal.pone.0149928. eCollection 2016.

14.

Closed-Loop Neuromorphic Benchmarks.

Stewart TC, DeWolf T, Kleinhans A, Eliasmith C.

Front Neurosci. 2015 Dec 15;9:464. doi: 10.3389/fnins.2015.00464. eCollection 2015.

15.

Benchmarking neuromorphic systems with Nengo.

Bekolay T, Stewart TC, Eliasmith C.

Front Neurosci. 2015 Oct 19;9:380. doi: 10.3389/fnins.2015.00380. eCollection 2015. Retraction in: Front Neurosci. 2015;9:460.

16.

Concepts as Semantic Pointers: A Framework and Computational Model.

Blouw P, Solodkin E, Thagard P, Eliasmith C.

Cogn Sci. 2016 Jul;40(5):1128-62. doi: 10.1111/cogs.12265. Epub 2015 Aug 1.

17.

Biologically Plausible, Human-Scale Knowledge Representation.

Crawford E, Gingerich M, Eliasmith C.

Cogn Sci. 2016 May;40(4):782-821. doi: 10.1111/cogs.12261. Epub 2015 Jul 14.

18.

Marr's Attacks: On Reductionism and Vagueness.

Eliasmith C, Kolbeck C.

Top Cogn Sci. 2015 Apr;7(2):323-35. doi: 10.1111/tops.12133. Epub 2015 Mar 5. Review.

19.

Modelling the differential effects of prisms on perception and action in neglect.

Leigh S, Danckert J, Eliasmith C.

Exp Brain Res. 2015 Mar;233(3):751-66. doi: 10.1007/s00221-014-4150-3. Epub 2014 Nov 28.

PMID:
25430546
20.

A unifying mechanistic model of selective attention in spiking neurons.

Bobier B, Stewart TC, Eliasmith C.

PLoS Comput Biol. 2014 Jun 12;10(6):e1003577. doi: 10.1371/journal.pcbi.1003577. eCollection 2014 Jun.

21.

The competing benefits of noise and heterogeneity in neural coding.

Hunsberger E, Scott M, Eliasmith C.

Neural Comput. 2014 Aug;26(8):1600-23. doi: 10.1162/NECO_a_00621. Epub 2014 May 30.

PMID:
24877735
22.

The use and abuse of large-scale brain models.

Eliasmith C, Trujillo O.

Curr Opin Neurobiol. 2014 Apr;25:1-6. doi: 10.1016/j.conb.2013.09.009. Epub 2013 Oct 11. Review.

PMID:
24709593
23.

A spiking neural integrator model of the adaptive control of action by the medial prefrontal cortex.

Bekolay T, Laubach M, Eliasmith C.

J Neurosci. 2014 Jan 29;34(5):1892-902. doi: 10.1523/JNEUROSCI.2421-13.2014.

24.

Nengo: a Python tool for building large-scale functional brain models.

Bekolay T, Bergstra J, Hunsberger E, Dewolf T, Stewart TC, Rasmussen D, Choo X, Voelker AR, Eliasmith C.

Front Neuroinform. 2014 Jan 6;7:48. doi: 10.3389/fninf.2013.00048. eCollection 2014 Jan 6.

25.

Modeling brain function: current developments and future prospects.

Rasmussen D, Eliasmith C.

JAMA Neurol. 2013 Oct;70(10):1325-9. Review.

PMID:
23978906
26.

Realistic neurons can compute the operations needed by quantum probability theory and other vector symbolic architectures.

Stewart TC, Eliasmith C.

Behav Brain Sci. 2013 Jun;36(3):307-8. doi: 10.1017/S0140525X12003111.

PMID:
23673054
27.

God, the devil, and the details: Fleshing out the predictive processing framework.

Rasmussen D, Eliasmith C.

Behav Brain Sci. 2013 Jun;36(3):223-4. doi: 10.1017/S0140525X12002154. Epub 2013 May 10.

PMID:
23663446
28.

A large-scale model of the functioning brain.

Eliasmith C, Stewart TC, Choo X, Bekolay T, DeWolf T, Tang Y, Rasmussen D.

Science. 2012 Nov 30;338(6111):1202-5. doi: 10.1126/science.1225266. Erratum in: Science. 2012 Dec 14;338(6113):1420. Tang, Charlie [corrected to Tang, Yichuan].

29.

Learning to select actions with spiking neurons in the Basal Ganglia.

Stewart TC, Bekolay T, Eliasmith C.

Front Neurosci. 2012 Jan 31;6:2. doi: 10.3389/fnins.2012.00002. eCollection 2012.

30.

The complex systems approach: rhetoric or revolution.

Eliasmith C.

Top Cogn Sci. 2012 Jan;4(1):72-7; discussion 94-102. doi: 10.1111/j.1756-8765.2011.01169.x. Epub 2011 Nov 10.

31.

The neural optimal control hierarchy for motor control.

DeWolf T, Eliasmith C.

J Neural Eng. 2011 Dec;8(6):065009. doi: 10.1088/1741-2560/8/6/065009. Epub 2011 Nov 4.

PMID:
22056418
32.

Fine-tuning and the stability of recurrent neural networks.

MacNeil D, Eliasmith C.

PLoS One. 2011;6(9):e22885. doi: 10.1371/journal.pone.0022885. Epub 2011 Sep 27.

33.

Normalization for probabilistic inference with neurons.

Eliasmith C, Martens J.

Biol Cybern. 2011 May;104(4-5):251-62. doi: 10.1007/s00422-011-0433-y. Epub 2011 May 14.

PMID:
21573688
34.

How we ought to describe computation in the brain.

Eliasmith C.

Stud Hist Philos Sci. 2010 Sep;41(3):313-20.

PMID:
21466123
35.

A Brain-Machine Interface Operating with a Real-Time Spiking Neural Network Control Algorithm.

Dethier J, Nuyujukian P, Eliasmith C, Stewart T, Elassaad SA, Shenoy KV, Boahen K.

Adv Neural Inf Process Syst. 2011;2011:2213-2221.

36.

A neural model of rule generation in inductive reasoning.

Rasmussen D, Eliasmith C.

Top Cogn Sci. 2011 Jan;3(1):140-53. doi: 10.1111/j.1756-8765.2010.01127.x.

37.

Population models of temporal differentiation.

Tripp BP, Eliasmith C.

Neural Comput. 2010 Mar;22(3):621-59. doi: 10.1162/neco.2009.02-09-970.

PMID:
19922294
38.

Python scripting in the nengo simulator.

Stewart TC, Tripp B, Eliasmith C.

Front Neuroinform. 2009 Mar 24;3:7. doi: 10.3389/neuro.11.007.2009. eCollection 2009.

39.

Solving the problem of negative synaptic weights in cortical models.

Parisien C, Anderson CH, Eliasmith C.

Neural Comput. 2008 Jun;20(6):1473-94. doi: 10.1162/neco.2008.07-06-295.

PMID:
18254696
40.
41.

Is the brain a quantum computer?

Litt A, Eliasmith C, Kroon FW, Weinstein S, Thagard P.

Cogn Sci. 2006 May 6;30(3):593-603. doi: 10.1207/s15516709cog0000_59.

42.
43.

Integrating behavioral and neural data in a model of zebrafish network interaction.

Kuo PD, Eliasmith C.

Biol Cybern. 2005 Sep;93(3):178-87. Epub 2005 Aug 31.

PMID:
16136350
44.

A unified approach to building and controlling spiking attractor networks.

Eliasmith C.

Neural Comput. 2005 Jun;17(6):1276-314.

PMID:
15901399
45.

A controlled attractor network model of path integration in the rat.

Conklin J, Eliasmith C.

J Comput Neurosci. 2005 Mar-Apr;18(2):183-203.

PMID:
15714269
46.

A general framework for neurobiological modeling: an application to the vestibular system.

Eliasmith C, Westover MB, Anderson CH.

Neurocomputing. 2002 Jun;44-46:1071-6.

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