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Items: 33

1.

Role of Synaptic Stochasticity in Training Low-Precision Neural Networks.

Baldassi C, Gerace F, Kappen HJ, Lucibello C, Saglietti L, Tartaglione E, Zecchina R.

Phys Rev Lett. 2018 Jun 29;120(26):268103. doi: 10.1103/PhysRevLett.120.268103.

PMID:
30004730
2.

Learning Universal Computations with Spikes.

Thalmeier D, Uhlmann M, Kappen HJ, Memmesheimer RM.

PLoS Comput Biol. 2016 Jun 16;12(6):e1004895. doi: 10.1371/journal.pcbi.1004895. eCollection 2016 Jun.

3.

Path integral control and state-dependent feedback.

Thijssen S, Kappen HJ.

Phys Rev E Stat Nonlin Soft Matter Phys. 2015 Mar;91(3):032104. Epub 2015 Mar 2.

PMID:
25871051
4.

Quantitative analysis of task selection for brain-computer interfaces.

Llera A, Gómez V, Kappen HJ.

J Neural Eng. 2014 Oct;11(5):056002. doi: 10.1088/1741-2560/11/5/056002. Epub 2014 Jul 31.

PMID:
25080297
5.

Adaptive multiclass classification for brain computer interfaces.

Llera A, Gómez V, Kappen HJ.

Neural Comput. 2014 Jun;26(6):1108-27. doi: 10.1162/NECO_a_00592. Epub 2014 Mar 31.

PMID:
24684452
6.

Emerging phenomena in neural networks with dynamic synapses and their computational implications.

Torres JJ, Kappen HJ.

Front Comput Neurosci. 2013 Apr 5;7:30. doi: 10.3389/fncom.2013.00030. eCollection 2013.

7.

Adaptive classification on brain-computer interfaces using reinforcement signals.

Llera A, Gómez V, Kappen HJ.

Neural Comput. 2012 Nov;24(11):2900-23. doi: 10.1162/NECO_a_00348. Epub 2012 Jul 30.

PMID:
22845827
8.

Time-integrated position error accounts for sensorimotor behavior in time-constrained tasks.

Tramper JJ, van den Broek B, Wiegerinck W, Kappen HJ, Gielen S.

PLoS One. 2012;7(3):e33724. doi: 10.1371/journal.pone.0033724. Epub 2012 Mar 21.

9.

On the use of interaction error potentials for adaptive brain computer interfaces.

Llera A, van Gerven MA, Gómez V, Jensen O, Kappen HJ.

Neural Netw. 2011 Dec;24(10):1120-7. doi: 10.1016/j.neunet.2011.05.006. Epub 2011 Jun 6.

PMID:
21696919
10.

Irregular dynamics in up and down cortical states.

Mejias JF, Kappen HJ, Torres JJ.

PLoS One. 2010 Nov 8;5(11):e13651. doi: 10.1371/journal.pone.0013651.

12.

Multipoint approximations of identity-by-descent probabilities for accurate linkage analysis of distantly related individuals.

Albers CA, Stankovich J, Thomson R, Bahlo M, Kappen HJ.

Am J Hum Genet. 2008 Mar;82(3):607-22. doi: 10.1016/j.ajhg.2007.12.016.

13.

Effect of linkage disequilibrium between markers in linkage and association analyses.

Dupuis J, Albers K, Allen-Brady K, Cho K, Elston RC, Kappen HJ, Tang H, Thomas A, Thomson G, Tsung E, Yang Q, Zhang W, Zhao K, Zheng G, Ziegler JT.

Genet Epidemiol. 2007;31 Suppl 1:S139-48.

PMID:
18046770
14.

Competition between synaptic depression and facilitation in attractor neural networks.

Torres JJ, Cortes JM, Marro J, Kappen HJ.

Neural Comput. 2007 Oct;19(10):2739-55.

PMID:
17716010
15.

Cavity approximation for graphical models.

Rizzo T, Wemmenhove B, Kappen HJ.

Phys Rev E Stat Nonlin Soft Matter Phys. 2007 Jul;76(1 Pt 1):011102. Epub 2007 Jul 3.

PMID:
17677405
16.

Haplotype inference in general pedigrees using the cluster variation method.

Albers CA, Heskes T, Kappen HJ.

Genetics. 2007 Oct;177(2):1101-16. Epub 2007 Jul 29.

17.

Input-driven oscillations in networks with excitatory and inhibitory neurons with dynamic synapses.

Marinazzo D, Kappen HJ, Gielen SC.

Neural Comput. 2007 Jul;19(7):1739-65.

PMID:
17521278
18.

The cluster variation method for efficient linkage analysis on extended pedigrees.

Albers CA, Leisink MA, Kappen HJ.

BMC Bioinformatics. 2006 Mar 20;7 Suppl 1:S1.

19.

Effects of fast presynaptic noise in attractor neural networks.

Cortes JM, Torres JJ, Marro J, Garrido PL, Kappen HJ.

Neural Comput. 2006 Mar;18(3):614-33.

PMID:
16483410
20.

Linear theory for control of nonlinear stochastic systems.

Kappen HJ.

Phys Rev Lett. 2005 Nov 11;95(20):200201. Epub 2005 Nov 7.

PMID:
16384034
21.

Coincidence detection with dynamic synapses.

Pantic L, Torres JJ, Kappen HJ.

Network. 2003 Feb;14(1):17-33.

PMID:
12613550
22.

Storage capacity of attractor neural networks with depressing synapses.

Torres JJ, Pantic L, Kappen HJ.

Phys Rev E Stat Nonlin Soft Matter Phys. 2002 Dec;66(6 Pt 1):061910. Epub 2002 Dec 20.

PMID:
12513321
23.

Associative memory with dynamic synapses.

Pantic L, Torres JJ, Kappen HJ, Gielen SC.

Neural Comput. 2002 Dec;14(12):2903-23.

PMID:
12487797
24.

A tighter bound for graphical models.

Leisink MA, Kappen HJ.

Neural Comput. 2001 Sep;13(9):2149-71.

PMID:
11516361
25.

Mean field theory for asymmetric neural networks.

Kappen HJ, Spanjers JJ.

Phys Rev E Stat Phys Plasmas Fluids Relat Interdiscip Topics. 2000 May;61(5 Pt B):5658-63.

PMID:
11031623
26.

Learning in higher order Boltzmann machines using linear response.

Leisink MA, Kappen HJ.

Neural Netw. 2000 Apr;13(3):329-35.

PMID:
10937966
27.

Nonmonotonic generalization bias of Gaussian mixture models.

Akaho S, Kappen HJ.

Neural Comput. 2000 Jun;12(6):1411-27.

PMID:
10935720
28.

A development protocol for a diagnostic DSS.

O YL, ter Burg WJ, ter Braak EW, Neijt JP, Wiegerinck WA, Nijman MJ, Kappen HJ.

Stud Health Technol Inform. 1999;68:755-8.

PMID:
10724995
29.

Symmetry breaking and training from incomplete data with Radial Basis Boltzmann Machines.

Nijman MJ, Kappen HJ.

Int J Neural Syst. 1997 Jun;8(3):301-15.

PMID:
9427104
30.

Advanced ovarian cancer. Neural network analysis to predict treatment outcome.

Kappen HJ, Neijt JP.

Ann Oncol. 1993;4 Suppl 4:31-4.

PMID:
8312198
31.

Reply to "Comment on 'Calculating the weak scale in supergravity models' "

Kappen HJ.

Phys Rev D Part Fields. 1988 Jul 15;38(2):721-722. No abstract available.

PMID:
9959199
32.

Calculating the weak scale in supergravity models.

Kappen HJ.

Phys Rev D Part Fields. 1987 Jun 15;35(12):3923-3939. No abstract available.

PMID:
9957655
33.

Heavy-fermion contributions to Delta mZ, Delta mW, Delta sin

Kappen HJ.

Phys Rev D Part Fields. 1986 Mar 1;33(5):1397-1405. No abstract available.

PMID:
9956775

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