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Anand Subramoney

Showing results (1-10 of 9) with videos related to

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Nature Computational Science|January 17, 2025
Efficient large language model with analog in-memory computingAnand Subramoney
Scientific Reports|November 5, 2024
Exploring the limits of hierarchical world models in reinforcement learningRobin Schiewer, Anand Subramoney, Laurenz Wiskott
Scientific Reports|April 12, 2024
Fast learning without synaptic plasticity in spiking neural networksAnand Subramoney, Guillaume Bellec, Franz Scherr, et al.
Bioinspiration & Biomimetics|June 2, 2017
Scaling up liquid state machines to predict over address events from dynamic vision sensorsJacques Kaiser, Rainer Stal, Anand Subramoney, et al.
Elife|July 26, 2021
Spike frequency adaptation supports network computations on temporally dispersed informationDarjan Salaj, Anand Subramoney, Ceca Kraisnikovic, et al.
Nature Communications|July 19, 2020
A solution to the learning dilemma for recurrent networks of spiking neuronsGuillaume Bellec, Franz Scherr, Anand Subramoney, et al.
Frontiers in Neurorobotics|October 22, 2019
Embodied Synaptic Plasticity With Online Reinforcement LearningJacques Kaiser, Michael Hoff, Andreas Konle, et al.
Frontiers in Computational Neuroscience|June 20, 2022
Exploring Parameter and Hyper-Parameter Spaces of Neuroscience Models on High Performance Computers With Learning to LearnAlper Yegenoglu, Anand Subramoney, Thorsten Hater, et al.
Nature|January 22, 2025
Neuromorphic computing at scaleDhireesha Kudithipudi, Catherine Schuman, Craig M Vineyard, et al.
Pageof 1

Showing results (1-10 of 9) with videos related to

Sort By:
Pageof 1
Nature Computational Science|January 17, 2025
Efficient large language model with analog in-memory computingAnand Subramoney
Scientific Reports|November 5, 2024
Exploring the limits of hierarchical world models in reinforcement learningRobin Schiewer, Anand Subramoney, Laurenz Wiskott
Scientific Reports|April 12, 2024
Fast learning without synaptic plasticity in spiking neural networksAnand Subramoney, Guillaume Bellec, Franz Scherr, et al.
Bioinspiration & Biomimetics|June 2, 2017
Scaling up liquid state machines to predict over address events from dynamic vision sensorsJacques Kaiser, Rainer Stal, Anand Subramoney, et al.
Elife|July 26, 2021
Spike frequency adaptation supports network computations on temporally dispersed informationDarjan Salaj, Anand Subramoney, Ceca Kraisnikovic, et al.
Nature Communications|July 19, 2020
A solution to the learning dilemma for recurrent networks of spiking neuronsGuillaume Bellec, Franz Scherr, Anand Subramoney, et al.
Frontiers in Neurorobotics|October 22, 2019
Embodied Synaptic Plasticity With Online Reinforcement LearningJacques Kaiser, Michael Hoff, Andreas Konle, et al.
Frontiers in Computational Neuroscience|June 20, 2022
Exploring Parameter and Hyper-Parameter Spaces of Neuroscience Models on High Performance Computers With Learning to LearnAlper Yegenoglu, Anand Subramoney, Thorsten Hater, et al.
Nature|January 22, 2025
Neuromorphic computing at scaleDhireesha Kudithipudi, Catherine Schuman, Craig M Vineyard, et al.
Pageof 1