A Unifying Framework of Synaptic and Intrinsic Plasticity in Neural Populations von Leugering, Johannes, Pipa, Gordon

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Neuromorphic engineering: Artificial brains for artificial intelligence von Leugering, Johannes

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A Bayesian Monte Carlo approach for predicting the spread of infectious diseases von Stojanović, Olivera, Leugering, Johannes, Pipa, Gordon, Ghozzi, Stéphane, Ullrich, Alexander

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Bayesian Hierarchical Models can Infer Interpretable Predictions of Leaf Area Index From Heterogeneous Datasets von Stojanović, Olivera, Siegmann, Bastian, Jarmer, Thomas, Pipa, Gordon, Leugering, Johannes

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Dendritic plateau potentials can process spike sequences across multiple time-scales von Leugering, Johannes, Nieters, Pascal, Pipa, Gordon

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SEC-Learn: Sensor Edge Cloud for Federated Learning: Invited Paper von Aichroth, Patrick, Antes, Christoph, Gembatzka, Pierre, Graf, Holger, Johnson, David S., Jung, Matthias, Kämpfe, Thomas, Kleinberger, Thomas, Köllmer, Thomas, Kuhn, Thomas, Kutter, Christoph, Krüger, Jens, Loroch, Dominik M., Lukashevich, Hanna, Laleni, Nellie, Zhang, Lei, Leugering, Johannes, Martín Fernández, Rodrigo, Mateu, Loreto, Mojumder, Shaown, Prautsch, Benjamin, Pscheidl, Ferdinand, Roscher, Karsten, Schneickert, Sören, Vanselow, Frank, Wallbott, Paul, Walter, Oliver, Weber, Nico

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Semiconductor device system von PSCHEIDL, Ferdinand, LEUGERING, Johannes

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SEMICONDUCTOR DEVICE SYSTEM von Leugering, Johannes, Pscheidl, Ferdinand

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MATCHED FEEDBACK INTEGRATE-AND-FIRE NEURON CIRCUIT von LEUGERING, Johannes, HERZER, Elmar

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MATCHED FEEDBACK INTEGRATE-AND-FIRE NEURON CIRCUIT von Leugering, Johannes, Herzer, Elmar

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Energy-efficiency Limits on Training AI Systems using Learning-in-Memory von Chen, Zihao, Leugering, Johannes, Cauwenberghs, Gert, Chakrabartty, Shantanu

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Bistable Perception in Conceptor Networks von Meyer zu Driehausen, Felix, Busche, Rüdiger, Leugering, Johannes, Pipa, Gordon

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Towards Chip-in-the-loop Spiking Neural Network Training via Metropolis-Hastings Sampling von Safa, Ali, Jaltare, Vikrant, Sebt, Samira, Gano, Kameron, Leugering, Johannes, Gielen, Georges, Cauwenberghs, Gert

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Towards Chip-in-the-loop Spiking Neural Network Training via Metropolis-Hastings Sampling von Safa, Ali, Jaltare, Vikrant, Sebt, Samira, Gano, Kameron, Leugering, Johannes, Gielen', Georges, Cauwenberghs, Gert

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Energy-efficiency Limits on Training AI Systems using Learning-in-Memory von Chen, Zihao, Leugering, Johannes, Cauwenberghs, Gert, Chakrabartty, Shantanu

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Towards Chip-in-the-loop Spiking Neural Network Training via Metropolis-Hastings Sampling von Safa, Ali, Jaltare, Vikrant, Sebt, Samira, Gano, Kameron, Leugering, Johannes, Gielen, Georges, Cauwenberghs, Gert

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Tools and Methodologies for Edge-AI Mixed-Signal Inference Accelerators von Mateu, Loreto, Leugering, Johannes, Müller, Roland, Patil, Yogesh, Mallah, Maen, Breiling, Marco, Pscheidl, Ferdinand

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Mathematical Optimization of Water Networks von Martin, Alexander, Klamroth, Kathrin, Lang, Jens, Leugering, Günter, Morsi, Antonio, Oberlack, Martin

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Shape Optimization in Electromagnetic Applications von Semmler, Johannes, Pflug, Lukas, Stingl, Michael, Leugering, Günter

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Simulation and structural optimization of 3d Timoshenko beam networks based on fully analytic network solutions von Kufner, Tobias, Leugering, Günter, Semmler, Johannes, Sting, Michael, Strohmeyer, Christoph

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