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Binary Associative Memories as a Benchmark for Spiking Neuromorphic Hardware
Large-scale neuromorphic hardware platforms, specialized computer systems for energy efficient simulation of spiking neural networks, are being developed around the world, for example as part of theExpand
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Towards Provably Moral AI Agents in Bottom-up Learning Frameworks
We examine moral machine decision making as inspired by a central question posed by Rossi with respect to moral preferences: can AI systems based on statistical machine learning (which do not provideExpand
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Point Neurons with Conductance-Based Synapses in the Neural Engineering Framework
The mathematical model underlying the Neural Engineering Framework (NEF) expresses neuronal input as a linear combination of synaptic currents. However, in biology, synapses are not perfect currentExpand
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Ontology-based Extraction of Structured Information from Publications on Preclinical Experiments for Spinal Cord Injury Treatments
Preclinical research in the field of central nervous system trauma advances at a fast pace, currently yielding over 8,000 new publications per year, at an exponentially growing rate. This amount ofExpand
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SCIE: Information Extraction for Spinal Cord Injury Preclinical Experiments – A Webservice and Open Source Toolkit
Translational neuroscience in the field of spinal cord injuries (SCI) faces a strong disproportion between immense preclinical research efforts and a lack of therapeutic approaches successful inExpand
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Design space exploration of associative memories using spiking neurons with respect to neuromorphic hardware implementations
Artificial neural networks are well-established models for key functions of biological brains, such as low-level sensory processing and memory. In particular, networks of artificial spiking neuronsExpand
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A Biologically Plausible Spiking Neural Model of Eyeblink Conditioning in the Cerebellum
The cerebellum is classically described in terms of its role in motor control. Recent evidence suggests that the cerebellum supports a wide variety of functions, including timing-related cognitiveExpand
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Passive nonlinear dendritic interactions as a general computational resource in functional spiking neural networks
Nonlinear interactions in the dendritic tree play a key role in neural computation. Nevertheless, modeling frameworks aimed at the construction of large-scale, functional spiking neural networks tendExpand
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Passive Nonlinear Dendritic Interactions as a Computational Resource in Spiking Neural Networks
Nonlinear interactions in the dendritic tree play a key role in neural computation. Nevertheless, modeling frameworks aimed at the construction of large-scale, functional spiking neural networks,Expand
A Geometric Interpretation of Feedback Alignment
Feedback alignment has been proposed as a biologically plausible alternative to error backpropagation in multi-layer perceptrons. However, feedback alignment currently has not been demonstrated toExpand