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Andreas Stöckel
Andreas Stöckel
Applied Brain Research Inc.
Bestätigte E-Mail-Adresse bei uwaterloo.ca
Titel
Zitiert von
Zitiert von
Jahr
Towards provably moral AI agents in bottom-up learning frameworks
NP Shaw, A Stöckel, RW Orr, TF Lidbetter, R Cohen
Proceedings of the 2018 AAAI/ACM Conference on AI, Ethics, and Society, 271-277, 2018
182018
Passive nonlinear dendritic interactions as a computational resource in spiking neural networks
A Stöckel, C Eliasmith
Neural computation 33 (1), 96-128, 2021
102021
Point neurons with conductance-based synapses in the Neural Engineering Framework
A Stöckel, AR Voelker, C Eliasmith
arXiv preprint arXiv:1710.07659, 2017
82017
Ontology-based extraction of structured information from publications on preclinical experiments for spinal cord injury treatments
B Paassen, A Stöckel, R Dickfelder, JP Göpfert, N Brazda, T Kirchhoffer, ...
Proceedings of the Third Workshop on Semantic Web and Information Extraction …, 2014
82014
Binary associative memories as a benchmark for spiking neuromorphic hardware
A Stöckel, C Jenzen, M Thies, U Rückert
Frontiers in computational neuroscience 11, 71, 2017
72017
Harnessing Neural Dynamics as a Computational Resource
A Stöckel
University of Waterloo, 2022
32022
Connecting Biological Detail With Neural Computation: Application to the Cerebellar Granule–Golgi Microcircuit
A Stöckel, TC Stewart, C Eliasmith
Topics in Cognitive Science 13 (3), 515-533, 2021
32021
A Biologically Plausible Spiking Neural Model of Eyeblink Conditioning in the Cerebellum
A Stöckel, TC Stewart, C Eliasmith
CogSci, 2020
32020
Nonlinear synaptic interaction as a computational resource in the Neural Engineering Framework
A Stöckel, AR Voelker, C Eliasmith
Cosyne Abstracts, 2018
32018
Discrete function bases and convolutional neural networks
A Stöckel
arXiv preprint arXiv:2103.05609, 2021
22021
Constructing dampened LTI systems generating polynomial bases
A Stöckel
arXiv preprint arXiv:2103.00051, 2021
22021
Design space exploration of associative memories using spiking neurons with respect to neuromorphic hardware implementations
A Stöckel
Bielefeld University, 2016
22016
Assorted Notes on Radial Basis Functions
A Stöckel
Waterloo, ON: Centre for Theoretical Neuroscience. doi 10, 2020
12020
SCIE: Information Extraction for Spinal Cord Injury Preclinical Experiments–A Webservice and Open Source Toolkit
A Stöckel, B Paassen, R Dickfelder, JP Göpfert, N Brazda, HW Müller, ...
bioRxiv, 013458, 2015
12015
Learned legendre predictor: Learning with compressed representaitons for efficient online multistep prediction
PM Furlong, A Stöckel, T Stewart, C Eliasmith
Technical report, Centre for Theoretical Neuroscience, 08/2022 2022, 0
1
Computational properties of multi-compartment LIF neurons with passive dendrites
A Stöckel, C Eliasmith
Neuromorphic Computing and Engineering, 2022
2022
A Geometric Interpretation of Feedback Alignment.
A Stöckel, TC Stewart, C Eliasmith
CogSci, 3366, 2019
2019
Ousía
A Stöckel, B Paassen, P Cimiano
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