Siebren Schaafsma
Siebren Schaafsma
R&D Manager @ Holst Centre/imec
Verified email at imec-nl.nl
Title
Cited by
Cited by
Year
Neurons in the ventral intraparietal area of awake macaque monkey closely resemble neurons in the dorsal part of the medial superior temporal area in their responses to optic …
SJ Schaafsma, J Duysens
Journal of neurophysiology 76 (6), 4056-4068, 1996
1721996
Cortical off response tuning for stimulus duration
J Duysens, SJ Schaafsma, GA Orban
Vision research 36 (20), 3243-3251, 1996
681996
Responses in ventral intraparietal area of awake macaque monkey to optic flow patterns corresponding to rotation of planes in depth can be explained by translation and …
SJ Schaafsma, J Duysens, C Gielen
Visual neuroscience 14 (4), 633-646, 1997
541997
Search for resonant Bhabha scattering around an invariant mass of 1.8 MeV
J Van Klinken, WJ Meiring, FWN De Boer, SJ Schaafsma, VA Wichers, ...
Physics Letters B 205 (2-3), 223-227, 1988
291988
Unsupervised heart-rate estimation in wearables with liquid states and a probabilistic readout
A Das, P Pradhapan, W Groenendaal, P Adiraju, RT Rajan, F Catthoor, ...
Neural networks 99, 134-147, 2018
262018
Mapping spiking neural networks to neuromorphic hardware
A Balaji, A Das, Y Wu, K Huynh, FG Dell’Anna, G Indiveri, JL Krichmar, ...
IEEE Transactions on Very Large Scale Integration (VLSI) Systems 28 (1), 76-86, 2019
192019
Mapping of local and global synapses on spiking neuromorphic hardware
A Das, Y Wu, K Huynh, F Dell'Anna, F Catthoor, S Schaafsma
2018 Design, Automation & Test in Europe Conference & Exhibition (DATE …, 2018
162018
Design-technology co-optimization for OxRRAM-based synaptic processing unit
A Mallik, D Garbin, A Fantini, D Rodopoulos, R Degraeve, J Stuijt, AK Das, ...
2017 Symposium on VLSI Technology, T178-T179, 2017
162017
Applications of computation-in-memory architectures based on memristive devices
S Hamdioui, HA Du Nguyen, M Taouil, A Sebastian, M Le Gallo, S Pande, ...
2019 Design, Automation & Test in Europe Conference & Exhibition (DATE), 486-491, 2019
132019
Power-accuracy trade-offs for heartbeat classification on neural networks hardware
A Balaji, F Corradi, A Das, S Pande, S Schaafsma, F Catthoor
Journal of Low Power Electronics 14 (4), 508-519, 2018
132018
Heartbeat classification in wearables using multi-layer perceptron and time-frequency joint distribution of ECG
A Das, F Catthoor, S Schaafsma
Proceedings of the 2018 IEEE/ACM International Conference on Connected …, 2018
112018
ECG-based heartbeat classification in neuromorphic hardware
F Corradi, S Pande, J Stuijt, N Qiao, S Schaafsma, G Indiveri, F Catthoor
2019 International Joint Conference on Neural Networks (IJCNN), 1-8, 2019
82019
Temporal properties of optic flow responses in the ventral intraparietal area
SF Gabel, H Misslisch, SJ Schaafsma, J Duysens
Visual neuroscience 19 (3), 381-388, 2002
82002
Exploration of segmented bus as scalable global interconnect for neuromorphic computing
A Balaji, Y Wu, A Das, F Catthoor, S Schaafsma
Proceedings of the 2019 on Great Lakes Symposium on VLSI, 495-499, 2019
52019
Periodic oscillating stimuli are more effective than visual stimuli of constant speed for VIP cells of the awake monkey
SJ Schaafsma, TMH Dijkstra, JEJ Duysens
51995
Very large-scale neuromorphic systems for biological signal processing
F Catthoor, S Mitra, A Das, S Schaafsma
CMOS Circuits for Biological Sensing and Processing, 315-340, 2018
42018
Th., Wilschut, HW, Bokemeyer, H
J van Klinken, WJ Meiring, FWN de Boer, SJ Schaafsma, VA Wichers, ...
Phys. Lett. B 205, 223, 1988
41988
Opportunities and challenges of Resistive RAM for neuromorphic applications
R Degraeve, A Mallik, D Garbin, J Doevenspeck, A Fantini, D Rodopoulos, ...
2018 IEEE International Symposium on the Physical and Failure Analysis of …, 2018
12018
Arrangements and methods for secure data transmission
S Schaafsma
US Patent App. 10/509,724, 2005
12005
Mixed-signal neuromorphic platform design for streaming biomedical signal processing
S Pande, F Corradi, J Stuijt, S Schaafsma, F Catthoor
Hardware Architectures for Deep Learning, 235, 2020
2020
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