Takip et
Andreas Stöckel
Andreas Stöckel
Applied Brain Research Inc.
uwaterloo.ca üzerinde doğrulanmış e-posta adresine sahip
Başlık
Alıntı yapanlar
Alıntı yapanlar
Yıl
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
262018
Passive nonlinear dendritic interactions as a computational resource in spiking neural networks
A Stöckel, C Eliasmith
Neural Computation 33 (1), 96-128, 2021
192021
Point neurons with conductance-based synapses in the neural engineering framework
A Stöckel, AR Voelker, C Eliasmith
arXiv preprint arXiv:1710.07659, 2017
92017
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
92014
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
82017
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
72021
Computational properties of multi-compartment LIF neurons with passive dendrites
A Stöckel, C Eliasmith
Neuromorphic Computing and Engineering 2 (2), 024011, 2022
52022
Harnessing neural dynamics as a computational resource
A Stöckel
University of Waterloo, 2022
52022
A Biologically Plausible Spiking Neural Model of Eyeblink Conditioning in the Cerebellum
A Stöckel, TC Stewart, C Eliasmith
CogSci, 2020
52020
Nonlinear synaptic interaction as a computational resource in the Neural Engineering Framework
A Stöckel, AR Voelker, C Eliasmith
Cosyne Abstracts, 2018
32018
Design space exploration of associative memories using spiking neurons with respect to neuromorphic hardware implementations
A Stöckel
Bielefeld University, 2016
32016
Biologically-Based Computation: How Neural Details and Dynamics Are Suited for Implementing a Variety of Algorithms
NSY Dumont, A Stöckel, PM Furlong, M Bartlett, C Eliasmith, TC Stewart
Brain Sciences 13 (2), 245, 2023
22023
Learned legendre predictor: Learning with compressed representaitons for efficient online multistep prediction
PM Furlong, A Stöckel, T Stewart, C Eliasmith
Technical Report, 2022
22022
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
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
22015
Assorted Notes on Radial Basis Functions
A Stöckel
Waterloo, ON: Centre for Theoretical Neuroscience. doi 10, 2020
12020
Methods and systems for learning online to predict time-series data
T Stewart, A Stoeckel, C Eliasmith
US Patent App. 17/895,910, 2023
2023
A Geometric Interpretation of Feedback Alignment.
A Stöckel, TC Stewart, C Eliasmith
CogSci, 3366, 2019
2019
Ousía
A Stöckel, B Paassen, P Cimiano
Sistem, işlemi şu anda gerçekleştiremiyor. Daha sonra yeniden deneyin.
Makaleler 1–20