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Bernd Porr

Showing results (1-10 of 36) with videos related to

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Neural Computation|April 12, 2003
Isotropic sequence order learningBernd Porr, Florentin Wörgötter
Neural Computation|February 22, 2005
Temporal sequence learning, prediction, and control: a review of different models and their relation to biological mechanismsFlorentin Wörgötter, Bernd Porr
Neural Computation|August 25, 2007
Learning with "relevance": using a third factor to stabilize Hebbian learningBernd Porr, Florentin Wörgötter
Philosophical Transactions. Series A, Mathematical, Physical, and Engineering Sciences|November 6, 2003
Isotropic-sequence-order learning in a closed-loop behavioural systemBernd Porr, Florentin Wörgötter
Bio Systems|February 13, 2007
Fast heterosynaptic learning in a robot food retrieval task inspired by the limbic systemBernd Porr, Florentin Wörgötter
Neural Computation|June 13, 2006
Strongly improved stability and faster convergence of temporal sequence learning by using input correlations onlyBernd Porr, Florentin Wörgötter
Neural Computation|September 18, 2020
Closed-Loop Deep Learning: Generating Forward Models With BackpropagationSama Daryanavard, Bernd Porr
Plos One|November 11, 2024
A new QRS detector stress test combining temporal jitter and F-score (JF) reveals significant performance differences amongst popular detectorsBernd Porr, Peter W Macfarlane
Plos One|August 24, 2023
BCI-Walls: A robust methodology to predict if conscious EEG changes can be detected in the presence of artefactsBernd Porr, Lucía Muñoz Bohollo
Biological Cybernetics|February 8, 2005
Local learning rules: predicted influence of dendritic location on synaptic modification in spike-timing-dependent plasticityAusra Saudargiene, Bernd Porr, Florentin Wörgötter
Pageof 4

Showing results (1-10 of 36) with videos related to

Sort By:
Pageof 4
Neural Computation|April 12, 2003
Isotropic sequence order learningBernd Porr, Florentin Wörgötter
Neural Computation|February 22, 2005
Temporal sequence learning, prediction, and control: a review of different models and their relation to biological mechanismsFlorentin Wörgötter, Bernd Porr
Neural Computation|August 25, 2007
Learning with "relevance": using a third factor to stabilize Hebbian learningBernd Porr, Florentin Wörgötter
Philosophical Transactions. Series A, Mathematical, Physical, and Engineering Sciences|November 6, 2003
Isotropic-sequence-order learning in a closed-loop behavioural systemBernd Porr, Florentin Wörgötter
Bio Systems|February 13, 2007
Fast heterosynaptic learning in a robot food retrieval task inspired by the limbic systemBernd Porr, Florentin Wörgötter
Neural Computation|June 13, 2006
Strongly improved stability and faster convergence of temporal sequence learning by using input correlations onlyBernd Porr, Florentin Wörgötter
Neural Computation|September 18, 2020
Closed-Loop Deep Learning: Generating Forward Models With BackpropagationSama Daryanavard, Bernd Porr
Plos One|November 11, 2024
A new QRS detector stress test combining temporal jitter and F-score (JF) reveals significant performance differences amongst popular detectorsBernd Porr, Peter W Macfarlane
Plos One|August 24, 2023
BCI-Walls: A robust methodology to predict if conscious EEG changes can be detected in the presence of artefactsBernd Porr, Lucía Muñoz Bohollo
Biological Cybernetics|February 8, 2005
Local learning rules: predicted influence of dendritic location on synaptic modification in spike-timing-dependent plasticityAusra Saudargiene, Bernd Porr, Florentin Wörgötter
Pageof 4