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12/30/2019
Versatile emulation of spiking neural networks on an accelerated neuromorphic substrate
We present first experimental results on the novel BrainScaleS-2 neuromo...
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12/27/2019
Structural plasticity on an accelerated analog neuromorphic hardware system
In computational neuroscience, as well as in machine learning, neuromorp...
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12/24/2019
Fast and deep neuromorphic learning with time-to-first-spike coding
For a biological agent operating under environmental pressure, energy co...
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09/17/2019
Control of criticality and computation in spiking neuromorphic networks with plasticity
The critical state is assumed to be optimal for any computation in recur...
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03/15/2019
Neuromorphic Hardware learns to learn
Hyperparameters and learning algorithms for neuromorphic hardware are us...
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11/08/2018
Demonstrating Advantages of Neuromorphic Computation: A Pilot Study
Neuromorphic devices represent an attempt to mimic aspects of the brain'...
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09/21/2018
Stochasticity from function - why the Bayesian brain may need no noise
An increasing body of evidence suggests that the trial-to-trial variabil...
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07/06/2018
Generative models on accelerated neuromorphic hardware
The traditional von Neumann computer architecture faces serious obstacle...
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01/15/2018
Full Wafer Redistribution and Wafer Embedding as Key Technologies for a Multi-Scale Neuromorphic Hardware Cluster
Together with the Kirchhoff-Institute for Physics(KIP) the Fraunhofer IZ...
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09/24/2017
Spiking neurons with short-term synaptic plasticity form superior generative networks
Spiking networks that perform probabilistic inference have been proposed...
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03/21/2017
An Accelerated Analog Neuromorphic Hardware System Emulating NMDA- and Calcium-Based Non-Linear Dendrites
This paper presents an extension of the BrainScaleS accelerated analog n...
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03/17/2017
Pattern representation and recognition with accelerated analog neuromorphic systems
Despite being originally inspired by the central nervous system, artific...
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03/12/2017
Robustness from structure: Inference with hierarchical spiking networks on analog neuromorphic hardware
How spiking networks are able to perform probabilistic inference is an i...
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03/06/2017
Neuromorphic Hardware In The Loop: Training a Deep Spiking Network on the BrainScaleS Wafer-Scale System
Emulating spiking neural networks on analog neuromorphic hardware offers...
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10/23/2016
Stochastic inference with spiking neurons in the high-conductance state
The highly variable dynamics of neocortical circuits observed in vivo ha...
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04/18/2016
Demonstrating Hybrid Learning in a Flexible Neuromorphic Hardware System
We present results from a new approach to learning and plasticity in neu...
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01/05/2016
The high-conductance state enables neural sampling in networks of LIF neurons
The apparent stochasticity of in-vivo neural circuits has long been hypo...
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04/29/2014
Characterization and Compensation of Network-Level Anomalies in Mixed-Signal Neuromorphic Modeling Platforms
Advancing the size and complexity of neural network models leads to an e...
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11/13/2013