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Results: 1-17 |
Results: 17
Efficient temporal processing with biologically realistic dynamic synapses
Authors: Natschlager, T Maass, W Zador, A
Citation: T. Natschlager et al., Efficient temporal processing with biologically realistic dynamic synapses, NETWORK-COM, 12(1), 2001, pp. 75-87
Computing the optimally fitted spike train for a synapse
Authors: Natschlager, T Maass, W
Citation: T. Natschlager et W. Maass, Computing the optimally fitted spike train for a synapse, NEURAL COMP, 13(11), 2001, pp. 2477-2494
On the relevance of time in neural computation and learning
Authors: Maass, W
Citation: W. Maass, On the relevance of time in neural computation and learning, THEOR COMP, 261(1), 2001, pp. 157-178
Microstructure and magnetic properties of sputtered spin valve systems
Authors: Langer, J Mattheis, R Ocker, B Maass, W Senz, S Hesse, D Krausslich, J
Citation: J. Langer et al., Microstructure and magnetic properties of sputtered spin valve systems, J APPL PHYS, 90(10), 2001, pp. 5126-5134
Neural systems as nonlinear filters
Authors: Maass, W Sontag, ED
Citation: W. Maass et Ed. Sontag, Neural systems as nonlinear filters, NEURAL COMP, 12(8), 2000, pp. 1743-1772
A model for fast analog computation based on unreliable synapses
Authors: Maass, W Natschlager, T
Citation: W. Maass et T. Natschlager, A model for fast analog computation based on unreliable synapses, NEURAL COMP, 12(7), 2000, pp. 1679-1704
On the computational power of winner-take-all
Authors: Maass, W
Citation: W. Maass, On the computational power of winner-take-all, NEURAL COMP, 12(11), 2000, pp. 2519-2535
Temperature dependence of magnetisation reversal and GMR in spin valve structures
Authors: Stobiecki, F Stobiecki, T Ocker, B Maass, W Powroznik, W Paja, A Loch, C Roll, K
Citation: F. Stobiecki et al., Temperature dependence of magnetisation reversal and GMR in spin valve structures, ACT PHY P A, 97(3), 2000, pp. 523-526
Effect of lamination period and deposition angle on FeAlN-Al2O3 multilayers
Authors: McNeill, KA Bell, AM O'Kane, WJ McLaughlin, TK Maass, W
Citation: Ka. Mcneill et al., Effect of lamination period and deposition angle on FeAlN-Al2O3 multilayers, J APPL PHYS, 87(9), 2000, pp. 5837-5839
Dynamic stochastic synapses as computational units
Authors: Maass, W Zador, AM
Citation: W. Maass et Am. Zador, Dynamic stochastic synapses as computational units, NEURAL COMP, 11(4), 1999, pp. 903-917
Analog neural nets with gaussian or other common noise distributions cannot recognize arbitrary regular languages
Authors: Maass, W Sontag, ED
Citation: W. Maass et Ed. Sontag, Analog neural nets with gaussian or other common noise distributions cannot recognize arbitrary regular languages, NEURAL COMP, 11(3), 1999, pp. 771-782
On the complexity of learning for spiking neurons with temporal coding
Authors: Maass, W Schmitt, M
Citation: W. Maass et M. Schmitt, On the complexity of learning for spiking neurons with temporal coding, INF COMPUT, 153(1), 1999, pp. 26-46
On computation with pulses
Authors: Maass, W Ruf, B
Citation: W. Maass et B. Ruf, On computation with pulses, INF COMPUT, 148(2), 1999, pp. 202-218
Structure and annealing of NiMn spin valves
Authors: Loch, C Maass, W Ocker, B Rooll, K
Citation: C. Loch et al., Structure and annealing of NiMn spin valves, J APPL PHYS, 85(8), 1999, pp. 4460-4462
NA1/NA2 antisera inhibit Fc gamma RI- but not Fc gamma RII-mediated phagocytosis
Authors: Flesch, BK Maass, W Neppert, J
Citation: Bk. Flesch et al., NA1/NA2 antisera inhibit Fc gamma RI- but not Fc gamma RII-mediated phagocytosis, VOX SANGUIN, 75(3), 1998, pp. 247-252
Computing with spiking neurons
Authors: Maass, W
Citation: W. Maass, Computing with spiking neurons, PULSED NEURAL NETWORKS, 1998, pp. 55-85
Computing and learning with dynamic synapses
Authors: Maass, W Zador, AM
Citation: W. Maass et Am. Zador, Computing and learning with dynamic synapses, PULSED NEURAL NETWORKS, 1998, pp. 321-336
Risultati: 1-17 |