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Items: 26

1.

Learning what matters: A neural explanation for the sparsity bias.

Hassall CD, Connor PC, Trappenberg TP, McDonald JJ, Krigolson OE.

Int J Psychophysiol. 2018 May;127:62-72. doi: 10.1016/j.ijpsycho.2018.03.006. Epub 2018 Mar 15.

PMID:
29551656
2.

Modeling human target reaching with an adaptive observer implemented with dynamic neural fields.

Fard FS, Hollensen P, Heinke D, Trappenberg TP.

Neural Netw. 2015 Dec;72:13-30. doi: 10.1016/j.neunet.2015.10.003. Epub 2015 Oct 26.

PMID:
26559472
3.

A biological mechanism for Bayesian feature selection: Weight decay and raising the LASSO.

Connor P, Hollensen P, Krigolson O, Trappenberg T.

Neural Netw. 2015 Jul;67:121-30. doi: 10.1016/j.neunet.2015.03.005. Epub 2015 Mar 25.

PMID:
25897512
4.

Detection of event-related potentials in individual subjects using support vector machines.

Parvar H, Sculthorpe-Petley L, Satel J, Boshra R, D'Arcy RC, Trappenberg TP.

Brain Inform. 2015 Mar;2(1):1-12. Epub 2014 Nov 25.

5.

A rapid event-related potential (ERP) method for point-of-care evaluation of brain function: development of the Halifax Consciousness Scanner.

Sculthorpe-Petley L, Liu C, Hajra SG, Parvar H, Satel J, Trappenberg TP, Boshra R, D'Arcy RC.

J Neurosci Methods. 2015 Apr 30;245:64-72. doi: 10.1016/j.jneumeth.2015.02.008. Epub 2015 Feb 18.

PMID:
25701685
6.

Learning-regulated context relevant topographical map.

Hartono P, Hollensen P, Trappenberg T.

IEEE Trans Neural Netw Learn Syst. 2015 Oct;26(10):2323-35. doi: 10.1109/TNNLS.2014.2379275. Epub 2014 Dec 24.

PMID:
25546864
7.

Erratum to: An elemental model of retrospective revaluation without within-compound associations.

Connor PC, Lolordo VM, Trappenberg TP.

Learn Behav. 2014 Mar;42(1):39. doi: 10.3758/s13420-013-0132-8. No abstract available.

PMID:
24477827
8.

Calcium-dependent calcium decay explains STDP in a dynamic model of hippocampal synapses.

Standage D, Trappenberg T, Blohm G.

PLoS One. 2014 Jan 22;9(1):e86248. doi: 10.1371/journal.pone.0086248. eCollection 2014.

9.

An elemental model of retrospective revaluation without within-compound associations.

Connor PC, Lolordo VM, Trappenberg TP.

Learn Behav. 2014 Mar;42(1):22-38. doi: 10.3758/s13420-013-0112-z. Erratum in: Learn Behav. 2014 Mar;42(1):39.

PMID:
23813103
10.

Sparse coding and challenges for Bayesian models of the brain.

Trappenberg T, Hollensen P.

Behav Brain Sci. 2013 Jun;36(3):232-3. doi: 10.1017/S0140525X12002300. Epub 2013 May 10.

PMID:
23663363
11.

Spatial interactions in the superior colliculus predict saccade behavior in a neural field model.

Marino RA, Trappenberg TP, Dorris M, Munoz DP.

J Cogn Neurosci. 2012 Feb;24(2):315-36. doi: 10.1162/jocn_a_00139. Epub 2011 Sep 26.

PMID:
21942761
12.

Modeling inhibition of return as short-term depression of early sensory input to the superior colliculus.

Satel J, Wang Z, Trappenberg TP, Klein RM.

Vision Res. 2011 May 11;51(9):987-96. doi: 10.1016/j.visres.2011.02.013. Epub 2011 Feb 24.

13.

Are binary synapses superior to graded weight representations in stochastic attractor networks?

Satel J, Trappenberg T, Fine A.

Cogn Neurodyn. 2009 Sep;3(3):243-50. doi: 10.1007/s11571-009-9083-3. Epub 2009 May 8.

14.

Tracking population densities using dynamic neural fields with moderately strong inhibition.

Trappenberg T.

Cogn Neurodyn. 2008 Sep;2(3):171-7. doi: 10.1007/s11571-008-9046-0. Epub 2008 Apr 17.

15.

Modeling the integration of expectations in visual search with centre-surround neural fields.

Salmon JP, Trappenberg TP.

Neural Netw. 2008 Dec;21(10):1476-92. doi: 10.1016/j.neunet.2008.09.007. Epub 2008 Sep 30.

PMID:
18980830
16.

Selecting inputs for modeling using normalized higher order statistics and independent component analysis.

Back AD, Trappenberg TP.

IEEE Trans Neural Netw. 2001;12(3):612-7. doi: 10.1109/72.925564.

PMID:
18249894
17.

Computational consequences of experimentally derived spike-time and weight dependent plasticity rules.

Standage D, Jalil S, Trappenberg T.

Biol Cybern. 2007 Jun;96(6):615-23. Epub 2007 Apr 28.

PMID:
17468882
18.

Modelling divided visual attention with a winner-take-all network.

Standage DI, Trappenberg TP, Klein RM.

Neural Netw. 2005 Jun-Jul;18(5-6):620-7.

PMID:
16087317
19.

Self-organizing continuous attractor network models of hippocampal spatial view cells.

Stringer SM, Rolls ET, Trappenberg TP.

Neurobiol Learn Mem. 2005 Jan;83(1):79-92.

PMID:
15607692
20.

Self-organising continuous attractor networks with multiple activity packets, and the representation of space.

Stringer SM, Rolls ET, Trappenberg TP.

Neural Netw. 2004 Jan;17(1):5-27.

PMID:
14690703
21.

Self-organizing continuous attractor networks and motor function.

Stringer SM, Rolls ET, Trappenberg TP, de Araujo IE.

Neural Netw. 2003 Mar;16(2):161-82.

PMID:
12628605
22.

Self-organizing continuous attractor networks and path integration: two-dimensional models of place cells.

Stringer SM, Rolls ET, Trappenberg TP, de Araujo IE.

Network. 2002 Nov;13(4):429-46.

PMID:
12463338
23.

A unified model of spatial and episodic memory.

Rolls ET, Stringer SM, Trappenberg TP.

Proc Biol Sci. 2002 Jun 7;269(1496):1087-93.

24.

Self-organizing continuous attractor networks and path integration: one-dimensional models of head direction cells.

Stringer SM, Trappenberg TP, Rolls ET, de Araujo IE.

Network. 2002 May;13(2):217-42.

PMID:
12061421
25.

A model of saccade initiation based on the competitive integration of exogenous and endogenous signals in the superior colliculus.

Trappenberg TP, Dorris MC, Munoz DP, Klein RM.

J Cogn Neurosci. 2001 Feb 15;13(2):256-71.

PMID:
11244550
26.

Quark-hadron phase transition, QCD lattice calculations, and inhomogeneous big-bang nucleosynthesis.

Coley AA, Trappenberg T.

Phys Rev D Part Fields. 1994 Oct 15;50(8):4881-4885. No abstract available.

PMID:
10018139

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