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Items: 1 to 20 of 86

1.

A Dynamic Connectome Supports the Emergence of Stable Computational Function of Neural Circuits through Reward-Based Learning.

Kappel D, Legenstein R, Habenschuss S, Hsieh M, Maass W.

eNeuro. 2018 Apr 24;5(2). pii: ENEURO.0301-17.2018. doi: 10.1523/ENEURO.0301-17.2018. eCollection 2018 Mar-Apr.

2.

Feedback Inhibition Shapes Emergent Computational Properties of Cortical Microcircuit Motifs.

Jonke Z, Legenstein R, Habenschuss S, Maass W.

J Neurosci. 2017 Aug 30;37(35):8511-8523. doi: 10.1523/JNEUROSCI.2078-16.2017. Epub 2017 Jul 31.

3.

Energy-efficient neural network chips approach human recognition capabilities.

Maass W.

Proc Natl Acad Sci U S A. 2016 Oct 11;113(41):11387-11389. Epub 2016 Oct 4. No abstract available.

4.

Learning Probabilistic Inference through Spike-Timing-Dependent Plasticity.

Pecevski D, Maass W.

eNeuro. 2016 Jun 21;3(2). pii: ENEURO.0048-15.2016. doi: 10.1523/ENEURO.0048-15.2016. eCollection 2016 Mar-Apr.

5.

Solving Constraint Satisfaction Problems with Networks of Spiking Neurons.

Jonke Z, Habenschuss S, Maass W.

Front Neurosci. 2016 Mar 30;10:118. doi: 10.3389/fnins.2016.00118. eCollection 2016.

6.

Network Plasticity as Bayesian Inference.

Kappel D, Habenschuss S, Legenstein R, Maass W.

PLoS Comput Biol. 2015 Nov 6;11(11):e1004485. doi: 10.1371/journal.pcbi.1004485. eCollection 2015 Nov.

7.

Distributed Bayesian Computation and Self-Organized Learning in Sheets of Spiking Neurons with Local Lateral Inhibition.

Bill J, Buesing L, Habenschuss S, Nessler B, Maass W, Legenstein R.

PLoS One. 2015 Aug 18;10(8):e0134356. doi: 10.1371/journal.pone.0134356. eCollection 2015.

8.

A behavioral and histological comparison of fluid percussion injury and controlled cortical impact injury to the rat sensorimotor cortex.

Peterson TC, Maass WR, Anderson JR, Anderson GD, Hoane MR.

Behav Brain Res. 2015 Nov 1;294:254-63. doi: 10.1016/j.bbr.2015.08.007. Epub 2015 Aug 12.

9.

Acute moderate exercise does not attenuate cardiometabolic function associated with a bout of prolonged sitting.

Younger AM, Pettitt RW, Sexton PJ, Maass WJ, Pettitt CD.

J Sports Sci. 2016;34(7):658-63. doi: 10.1080/02640414.2015.1068435. Epub 2015 Jul 17.

PMID:
26186044
10.

Ensembles of spiking neurons with noise support optimal probabilistic inference in a dynamically changing environment.

Legenstein R, Maass W.

PLoS Comput Biol. 2014 Oct 23;10(10):e1003859. doi: 10.1371/journal.pcbi.1003859. eCollection 2014 Oct.

11.

Deficits in discrimination after experimental frontal brain injury are mediated by motivation and can be improved by nicotinamide administration.

Vonder Haar C, Maass WR, Jacobs EA, Hoane MR.

J Neurotrauma. 2014 Oct 15;31(20):1711-20. doi: 10.1089/neu.2014.3459. Epub 2014 Aug 21.

12.

STDP installs in Winner-Take-All circuits an online approximation to hidden Markov model learning.

Kappel D, Nessler B, Maass W.

PLoS Comput Biol. 2014 Mar 27;10(3):e1003511. doi: 10.1371/journal.pcbi.1003511. eCollection 2014 Mar.

13.

Cardiac monitoring in patients with electrical injuries. An analysis of 268 patients at the Charité Hospital.

Searle J, Slagman A, Maaß W, Möckel M.

Dtsch Arztebl Int. 2013 Dec 13;110(50):847-53. doi: 10.3238/arztebl.2013.0847.

14.

Stochastic computations in cortical microcircuit models.

Habenschuss S, Jonke Z, Maass W.

PLoS Comput Biol. 2013;9(11):e1003311. doi: 10.1371/journal.pcbi.1003311. Epub 2013 Nov 14.

15.

Emergence of dynamic memory traces in cortical microcircuit models through STDP.

Klampfl S, Maass W.

J Neurosci. 2013 Jul 10;33(28):11515-29. doi: 10.1523/JNEUROSCI.5044-12.2013.

16.

Bayesian computation emerges in generic cortical microcircuits through spike-timing-dependent plasticity.

Nessler B, Pfeiffer M, Buesing L, Maass W.

PLoS Comput Biol. 2013 Apr;9(4):e1003037. doi: 10.1371/journal.pcbi.1003037. Epub 2013 Apr 25.

17.

Emergence of optimal decoding of population codes through STDP.

Habenschuss S, Puhr H, Maass W.

Neural Comput. 2013 Jun;25(6):1371-407. doi: 10.1162/NECO_a_00446. Epub 2013 Mar 21.

PMID:
23517096
18.

Learned graphical models for probabilistic planning provide a new class of movement primitives.

Rückert EA, Neumann G, Toussaint M, Maass W.

Front Comput Neurosci. 2013 Jan 2;6:97. doi: 10.3389/fncom.2012.00097. eCollection 2012.

19.

Emergence of complex computational structures from chaotic neural networks through reward-modulated Hebbian learning.

Hoerzer GM, Legenstein R, Maass W.

Cereb Cortex. 2014 Mar;24(3):677-90. doi: 10.1093/cercor/bhs348. Epub 2012 Nov 11.

PMID:
23146969
20.

The role of feedback in morphological computation with compliant bodies.

Hauser H, Ijspeert AJ, Füchslin RM, Pfeifer R, Maass W.

Biol Cybern. 2012 Nov;106(10):595-613. doi: 10.1007/s00422-012-0516-4. Epub 2012 Sep 6.

PMID:
22956025

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