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Control of criticality and computation in spiking neuromorphic networks with plasticity

Nature communications, 2020-06, Vol.11 (1), p.2853-2853, Article 2853

2020

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Demonstrating Hybrid Learning in a Flexible Neuromorphic Hardware System

IEEE transactions on biomedical circuits and systems, 2017-02, Vol.11 (1), p.128-142

2017

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An Accelerated LIF Neuronal Network Array for a Large-Scale Mixed-Signal Neuromorphic Architecture

IEEE transactions on circuits and systems. I, Regular papers, 2018-12, Vol.65 (12), p.4299-4312

2018

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Neuromorphic Hardware Learns to Learn

Frontiers in neuroscience, 2019-05, Vol.13, p.483

2019

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Demonstrating Advantages of Neuromorphic Computation: A Pilot Study

Frontiers in neuroscience, 2019-03, Vol.13, p.260-260

2019

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Cortical oscillations support sampling-based computations in spiking neural networks

PLoS computational biology, 2022-03, Vol.18 (3), p.e1009753-e1009753

2022

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Correlations between Outside Temperature and Energy Consumption of Biogas Upgrading Plants

Chemical engineering & technology, 2023-03, Vol.46 (3), p.536-540

Meier, Karlheinz

2023

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Six networks on a universal neuromorphic computing substrate

Frontiers in neuroscience, 2013-01, Vol.7, p.11-11

2013

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A Mixed-Signal Structured AdEx Neuron for Accelerated Neuromorphic Cores

IEEE transactions on biomedical circuits and systems, 2018-10, Vol.12 (5), p.1027-1037

2018

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Characterization and compensation of network-level anomalies in mixed-signal neuromorphic modeling platforms

PloS one, 2014-10, Vol.9 (10), p.e108590-e108590

2014

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Accelerated Physical Emulation of Bayesian Inference in Spiking Neural Networks

Frontiers in neuroscience, 2019-11, Vol.13, p.1201-1201

2019

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Evaluation of Similarities in Data Points Necessary for Monitoring Biogas Plants

Chemical engineering & technology, 2020-01, Vol.43 (1), p.95-98

Meier, Karlheinz

2020

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Effect of Heterogeneity on Decorrelation Mechanisms in Spiking Neural Networks: A Neuromorphic-Hardware Study

Physical review. X, 2016-05, Vol.6 (2), p.021023, Article 021023

2016

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Is a 4-bit synaptic weight resolution enough? - constraints on enabling spike-timing dependent plasticity in neuromorphic hardware

Frontiers in neuroscience, 2012-01, Vol.6, p.90-90

2012

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Criticality or Supersymmetry Breaking?

Symmetry (Basel), 2020-05, Vol.12 (5), p.805

2020

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Establishing a novel modeling tool: a python-based interface for a neuromorphic hardware system

Frontiers in neuroinformatics, 2009-06, Vol.3, p.17-17

2009

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Compensating Inhomogeneities of Neuromorphic VLSI Devices Via Short-Term Synaptic Plasticity

Frontiers in computational neuroscience, 2010, Vol.4, p.129-129

2010

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An accelerated analog neuromorphic hardware system emulating NMDA- and calcium-based non-linear dendrites

2017 International Joint Conference on Neural Networks (IJCNN), 2017, p.2217-2226

2017

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Structural plasticity on an accelerated analog neuromorphic hardware system

Neural networks, 2021-01, Vol.133, p.11-20

2021

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Spiking neurons with short-term synaptic plasticity form superior generative networks

Scientific reports, 2018-07, Vol.8 (1), p.10651-11, Article 10651

2018

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Deterministic networks for probabilistic computing

Scientific reports, 2019-12, Vol.9 (1), p.18303-17, Article 18303

2019

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Stochasticity from function — Why the Bayesian brain may need no noise

Neural networks, 2019-11, Vol.119, p.200-213

2019

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A wafer-scale neuromorphic hardware system for large-scale neural modeling

2010 IEEE International Symposium on Circuits and Systems (ISCAS), 2010, p.1947-1950

2010

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Evaluation of a pneumatically driven tactile stimulator device for vision substitution during fMRI studies

Magnetic resonance in medicine, 2004-04, Vol.51 (4), p.828-834

2004

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Verifying the biological relevance of a neuromorphic hardware device

BMC neuroscience, 2007-07, Vol.8 (S2), p.P10-P10, Article P10

2007

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Control of criticality and computation in spiking neuromorphic networks with plasticity

Demonstrating Hybrid Learning in a Flexible Neuromorphic Hardware System

An Accelerated LIF Neuronal Network Array for a Large-Scale Mixed-Signal Neuromorphic Architecture

Neuromorphic Hardware Learns to Learn

Demonstrating Advantages of Neuromorphic Computation: A Pilot Study

Cortical oscillations support sampling-based computations in spiking neural networks

Correlations between Outside Temperature and Energy Consumption of Biogas Upgrading Plants

Six networks on a universal neuromorphic computing substrate

A Mixed-Signal Structured AdEx Neuron for Accelerated Neuromorphic Cores

Characterization and compensation of network-level anomalies in mixed-signal neuromorphic modeling platforms

Accelerated Physical Emulation of Bayesian Inference in Spiking Neural Networks

Evaluation of Similarities in Data Points Necessary for Monitoring Biogas Plants

Effect of Heterogeneity on Decorrelation Mechanisms in Spiking Neural Networks: A Neuromorphic-Hardware Study

Is a 4-bit synaptic weight resolution enough? - constraints on enabling spike-timing dependent plasticity in neuromorphic hardware

Criticality or Supersymmetry Breaking?

Establishing a novel modeling tool: a python-based interface for a neuromorphic hardware system

Compensating Inhomogeneities of Neuromorphic VLSI Devices Via Short-Term Synaptic Plasticity

An accelerated analog neuromorphic hardware system emulating NMDA- and calcium-based non-linear dendrites

Structural plasticity on an accelerated analog neuromorphic hardware system

Spiking neurons with short-term synaptic plasticity form superior generative networks

Deterministic networks for probabilistic computing

Stochasticity from function — Why the Bayesian brain may need no noise

A wafer-scale neuromorphic hardware system for large-scale neural modeling

Evaluation of a pneumatically driven tactile stimulator device for vision substitution during fMRI studies

Verifying the biological relevance of a neuromorphic hardware device

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