Publications
Reconfigurable neuromorphic synapse interconnects with TFTs
J Genoe, P Raghavan, Z Tokei, F Catthoor, S Steudel, "Reconfigurable neuromorphic synapse interconnects with TFTs", ESSDERC 2016: Technology and Architectures Development for Brain Inspired Integrated Circuits Workshop.
Role of Al doping in the filament disruption in HfO2 resistance switches
S. Brivio, J. Frascaroli, and S. Spiga, Role of Al doping in the filament disruption in HfO2 resistance switches, Nanotechnology Vol. 28 Page 395202 (2017), DOI: 10.1088/1361-6528/aa8013.
Stochastic circuit breaker network model for bipolar resistance switching memories
S. Brivio and S. Spiga, Stochastic circuit breaker network model for bipolar resistance switching memories, Journal of Computation Electronics Vol. 16 Page 1154 (2017), DOI: 10.1007/s10825-017-1055-y
Resistive random access memory (RRAM) technology: From material, device, selector, 3D integration to bottom-up fabrication
H.-Yu Chen, S. Brivio, C.-C. Chang, J. Frascaroli, T.-H. Hou, B. Hudec, M. Liu, H. Lv, G. Molas, J. Sohn, S. Spiga, V. M. Teja, E. Vianello, H.-S. P.p Wong, Resistive random access memory (RRAM) technology: From material, device, selector, 3D integration to bottom-up fabrication, J Electroceramics, Volume 39, Issue 1–4, pp 21–38 (2017), DOI 10.1007/s10832-017-0095-9
Evidence of soft bound behaviour in analogue memristive devices for neuromorphic computing
J. Frascaroli, S. Brivio, E. Covi, and S. Spiga, Evidence of soft bound behaviour in analogue memristive devices for neuromorphic computing, Scientific Reports Vol. 8, 7178 (2018), DOI: 10.1038/s41598-018-25376-x
Spike-driven threshold-based learning with memristive synapses and neuromorphic silicon neurons
E. Covi, R. George, J. Frascaroli, S. Brivio, C. Mayr, H. Mostafa, G. Indiveri and S. Spiga, Spike-driven threshold-based learning with memristive synapses and neuromorphic silicon neurons, Journal of Physics D: Applied Physics Vol. 51 Page 344003 (2018), DOI: 10.1088/1361-6463/aad361
Hybrid Neural Network, An Efficient Low-Power Digital Hardware Implementation of Event-based Artificial Neural Network
Amirreza Yousefzadeh, Garrick Orchard, Evangelos Stromatias, Teresa Serrano-Gotarredona, and Bernabe Linares-Barranco, "Hybrid Neural Network, An Efficient Low-Power Digital Hardware Implementation of Event-based Artificial Neural Network," Circuits and Systems (ISCAS), 2018 IEEE International Symposium on, May 2018.
Performance Comparison of Time-Step-Driven versus Event-Driven Neural State Update Approaches in SpiNNaker
Amirreza Yousefzadeh, Mikel Soto, Teresa Serrano-Gotarredona, Francesco Galluppi, Luis Plana, Steve Furber, and Bernabe Linares-Barranco, "Performance Comparison of Time-Step-Driven versus Event-Driven Neural State Update Approaches in SpiNNaker," Circuits and Systems (ISCAS), 2018 IEEE International Symposium on, May 2018.
Event-Driven Configurable Module with Refractory Mechanism for ConvNets on FPGA
LA Camuñas-Mesa, Y Domínguez-Cordero, T Serrano-Gotarredona, and B Linares-Barranco, "Event-Driven Configurable Module with Refractory Mechanism for ConvNets on FPGA," Circuits and Systems (ISCAS), 2018 IEEE International Symposium on, May 2018.
Calibration of offset via bulk for low-power HfO2 based 1T1R memristive crossbar read-out system
C Mohan, LA Camuñas-Mesa, E Vianello, L Periniolla, C Reita, JM de la Rosa, T Serrano-Gotarredona, and B Linares-Barranco, "Calibration of offset via bulk for low-power HfO2 based 1T1R memristive crossbar read-out system," Microelectronic Engineering, vol. 198, pp. 35-47, Oct. 2018.
Very Large Scale Neuromorphic Systems For Biological Signal Processing
Francky Catthoor, Srinjoy Mitra, Anup Das and Siebren Schaafsma, "Very Large Scale Neuromorphic Systems For Biological Signal Processing", CMOS Circuits for Biological Sensing and Processing Systems, Springer, 2017
Power-Accuracy Trade-offs for Heartbeat Classification on Neural Networks Hardware
Adarsha Balaji, Federico Corradi, Anup Das, Sandeep Pande, Siebren Schaafsma, and Francky Catthoor, "Power-Accuracy Trade-offs for Heartbeat Classification on Neural Networks Hardware", Journal of Low Power Electronics (JOLPE), 2018
Unsupervised Heart-rate Estimation in Wearables With Liquid States and A Probabilistic Readout
Anup Das, Paruthi Pradhapan, Willemijn Groenendaal, Prathyusha Adiraju, Raj Rajan, Francky Catthoor, Siebren Schaafsma, Jeff Krichmar, Nikil Dutt, and Chris Van Hoof, "Unsupervised Heart-rate Estimation in Wearables With Liquid States and A Probabilistic Readout", Elsevier Neural Networks, 2018
Energy-Efficient Mapping of LTE-A PHY Signal Processing Tasks on Microservers
Anup Das, Francky Catthoor, Andre Bourdoux and Bert Gyselinckx, "Energy Efficient Mapping of LTE-A PHY Signal Processing Tasks on Microservers", IEEE Transactions on Green Communication and Networking, 2018
Heartbeat Classification in Wearables Using Multi-layer Perceptron and Time-Frequency Joint Distribution of ECG
Anup Das, Francky Catthoor, and Siebren Schaafsma, "Heartbeat Classification in Wearables Using Multi-layer Perceptron and Time-Frequency Joint Distribution of ECG", IEEE/ACM International Conference on Connected Health: Applications, Systems and Engineering Technologies (CHASE-DL-EDGE-IOT), 2018
Mapping of Local and Global Synapses on Spiking Neuromorphic Hardware
Anup Das, Yuefeng Wu, Khanh Huynh, Francesco Dell Anna, Francky Catthoor and Siebren Schaafsma, "Mapping of Local and Global Synapses on Spiking Neuromorphic Hardware", Conference on Design, Automation and Test (DATE), 2018
Computing optimal discrete readout weights in reservoir computing is NP-hard
F. Hadaeghi, H. Jaeger (2019): Computing optimal discrete readout weights in reservoir computing is NP-hard. Neurocomputing 338 (April 2019), 233-236
Reservoir Transfer on Analog Neuromorphic Hardware
X. He, T. Liu, F. Hadaeghi, H. Jaeger (2019): Reservoir Transfer on Analog Neuromorphic Hardware. Int. IEEE EMBS Conf. on Neural Engineering (NER '19) (3rd best paper award)
Overcoming Catastrophic Interference using Conceptor-Aided Backpropagation
X. He and H. Jaeger (2018): Overcoming Catastrophic Interference using Conceptor-Aided Backpropagation. International Conference on Learning Representations (ICLR 2018)
Overcoming Catastrophic Forgetting by Conceptors
X. He and H. Jaeger (2017): Overcoming Catastrophic Forgetting by Conceptors. Workshop on Dynamical Systems and Brain-Inspired Information Processing, Konstanz, October 2017 (best poster award)
Neuromorphic Electronic Systems for Reservoir Computing
F. Hadaeghi (2019, to appear): Neuromorphic Electronic Systems for Reservoir Computing. In: K. Nakajima, I. Fischer (eds): Reservoir Computing: Theory, Physical Implementations and Applications. Springer
Design-Technology Co-Optimization for OxRRAM-Based Synaptic Processing Unit
A. Mallik, D. Garbin, A. Fantini, D. Rodopoulos, R. Degraeve, J. Stuijt, Anup Das, S. Schaafsma, et al., "Design-Technology Co-Optimization for OxRRAM-Based Synaptic Processing Unit", Symposium on VLSI Technology (VLSIT), 2017
Self-Rectifying Behavior and Analog Switching under Identical Pulses Using Tri-Layer RRAM Crossbar Array for Neuromorphic Systems
M Alayan, E Vianello, L Larcher, A Padovani, A Levisse, N Castellani, C Charpin, S Bernasconi, G Molas, JM Portal, B De Salvo, L Perniola, Self-Rectifying Behavior and Analog Switching under Identical Pulses Using Tri-Layer RRAM Crossbar Array for Neuromorphic Systems, 2017 IEEE International Memory Workshop (IMW)
Bulk-based DC offset calibration for low-power memristor array read-out system
C Mohan, L A Camuñas-Mesa, E Vianello, L Perniola, C Reita, M José, T Serrano-Gotarredona, and B Linares-Barranco, "Bulk-based DC offset calibration for low-power memristor array read-out system", Design of Circuits and Integrated Systems (DCIS), 2017 32nd Conference on, pp. 1-5, Nov. 2017, Barcelona, Spain.
A clock-less ultra-low power bit-serial LVDS link for Address-Event multi-chip systems
N Qiao, G Indiveri, "A clock-less ultra-low power bit-serial LVDS link for Address-Event multi-chip systems", 24th IEEE International Symposium on Asynchronous Circuits and Systems (ASYNC 2018)
A bi-directional Address-Event transceiver block for low-latency inter-chip communication in neuromorphic systems
N Qiao, G Indiveri, "A bi-directional Address-Event transceiver block for low-latency inter-chip communication in neuromorphic systems", International Symposium on Circuits and Systems (ISCAS) 2018
Metal Oxide Resistive Memory (OxRAM) and Phase Change Memory (PCM) as Artificial Synapses in Spiking Neural Networks
E Vianello, D R B Ly, S La Barbera, T Dalgaty, N Castellani, G Navarro, G Bourgeois, A Valentian, E Nowak, “Metal Oxide Resistive Memory (OxRAM) and Phase Change Memory (PCM) as Artificial Synapses in Spiking Neural Networks”, IECES 2018
Role of synaptic variability in spike-based neuromorphic circuits with unsupervised learning
D R B Ly, A Grossi, T Werner, T Dalgaty, C Fenouillet-Beranger, E Vianello, E Nowak, “Role of synaptic variability in spike-based neuromorphic circuits with unsupervised learning”, 2018 IEEE International Symposium on Circuits and Systems (ISCAS)
A Scalable Multicore Architecture With Heterogeneous Memory Structures for Dynamic Neuromorphic Asynchronous Processors (DYNAPs)
S Moradi, N Qiao, F Stefanini, G Indiveri, "A Scalable Multicore Architecture With Heterogeneous Memory Structures for Dynamic Neuromorphic Asynchronous Processors (DYNAPs)", IEEE Transactions on Biomedical Circuits and Systems, PP:(99) 1-17, 2017
A Configurable Event-Driven Convolutional Node with Rate Saturation Mechanism for Modular ConvNet Systems Implementation
L A Camuñas-Mesa, Y L Domínguez-Cordero, A Linares-Barranco, T Serrano-Gotarredona, B Linares-Barranco, "A Configurable Event-Driven Convolutional Node with Rate Saturation Mechanism for Modular ConvNet Systems Implementation", Frontiers in Neuroscience, doi: 10.3389/fnins.2018.00063, Feb. 2018.
Digital Implementation of the Two-Compartmental Pinsky–Rinzel Pyramidal Neuron Model
E Rahimian, S Zabihi, M Amiri, B Linares-Barranco, "Digital Implementation of the Two-Compartmental Pinsky–Rinzel Pyramidal Neuron Model", IEEE transactions on biomedical circuits and systems, vol. 12, No. 1, pp. 47-57, Feb. 2018.
An event-driven classifier for spiking neural networks fed with synthetic or dynamic vision sensor data
E Stromatias, M Soto, T Serrano-Gotarredona, B Linares-Barranco, "An event-driven classifier for spiking neural networks fed with synthetic or dynamic vision sensor data", Front. Neurosci 2017. 11:350. 28-June-2017. doi: 10.3389/fnins.2017.00350
Self-Aligned Amorphous Indium-Tin-Zinc-Oxide Thin Film, Transistors on Polyimide Foil
R Upadhyay, S Steudel, M-P Hung, A Kumar Mandal, F Catthoor, M Nag, “Self-Aligned Amorphous Indium-Tin-Zinc-Oxide Thin Film Transistors on Polyimide Foil”, ECS Journal of Solid State Science and Technology, 7 (4) P185-P191 (2018)
Off-current reduction in p-type SnO thin film transistors
MP Hung, J Genoe, P Heremans, and S Steudel, “Off-current reduction in p-type SnO thin film transistors”, Appl. Phys. Lett. 112, 263502 (2018); doi: 10.1063/1.5037306
Memristors fire away
B Linares-Barranco, "Memristors fire away", Nature Electronics, vol. 1, pp. 100-101, Feb. 2018 (green open access).
Narrow Heater Bottom Electrode-based Phase Change Memory as a Bidirectional Artificial Synapse
S La Barbera, D R B Ly, G Navarro, N Castellani, O Cueto, G Bourgeois, B De Salvo, E Nowak, D Querlioz, E Vianello, “Narrow Heater Bottom Electrode-based Phase Change Memory as a Bidirectional Artificial Synapse”, Adv. Electron. Mater. 2018, 1800223, DOI: 10.1002/aelm.201800223.
Role of synaptic variability in resistive memory-based spiking neural networks with unsupervised learning
D Ly, A Grossi, C Fenouillet-Beranger, E Nowak, D Querlioz, E Vianello, “Role of synaptic variability in resistive memory-based spiking neural networks with unsupervised learning” Journal of Physics D: Applied Physics, Volume 51, Number 44, 2018.
On Practical Issues for Stochastic STDP Hardware With 1-bit Synaptic Weights
A Yousefzadeh, E Stromatias, M Soto, T Serrano-Gotarredona, B Linares-Barranco, "On Practical Issues for Stochastic STDP Hardware With 1-bit Synaptic Weights," Frontiers in Neuroscience, vol. 12, 2018. Doi: 10.3389/fnins.2018.00665 (Gold Open Access).
Extended memory lifetime in spiking neural networks employing memristive synapses with nonlinear conductance dynamics
S Brivio, D Conti, MV Nair, J Frascaroli, E Covi, C Ricciardi, G Indiveri, S Spiga, "Extended memory lifetime in spiking neural networks employing memristive synapses with nonlinear conductance dynamics", Nanotechnology 30, 015102 (2019). DOI: /10.1088/1361-6528/aae81c (Gold Open Access).
Stimulated Ionic Telegraph Noise in Filamentary Memristive Devices
S Brivio, J Frascaroli, E Covi, S Spiga, "Stimulated Ionic Telegraph Noise in Filamentary Memristive Devices", Scientific Report 9, 6310 (2019). DOI: 10.1038/s41598-019-41497-3 (Gold Open Access).
Analog circuits for mixed-signal neuromorphic computing architectures in 28 nm FD-SOI technology
N Qiao, G Indiveri, "Analog circuits for mixed-signal neuromorphic computing architectures in 28 nm FD-SOI technology", 2017 IEEE SOI-3D-Subthreshold Microelectronics Technology Unified Conference (S3S)
Automatic Gain Control of Ultra-Low Leakage Synaptic Scaling Homeostatic Plasticity Circuits
N Qiao, G Indiveri, C Bartolozzi, "Automatic Gain Control of Ultra-Low Leakage Synaptic Scaling Homeostatic Plasticity Circuits", Biomedical Circuits and Systems (BIOCAS) 2016.
An auto-scaling wide dynamic range current to frequency converter for real-time monitoring of signals in neuromorphic systems
N Qiao, G Indiveri, "An auto-scaling wide dynamic range current to frequency converter for real-time monitoring of signals in neuromorphic systems", Biomedical Circuits and Systems (BIOCAS) 2016.
Scaling mixed-signal neuromorphic processors to 28 nm FD-SOI technologies
N Qiao, G Indiveri, "Scaling mixed-signal neuromorphic processors to 28 nm FD-SOI technologies", 2016 IEEE Biomedical Circuits and Systems Conference (BioCAS).
An Ultralow Leakage Synaptic Scaling Homeostatic Plasticity Circuit With Configurable Time Scales up to 100 ks
N Qiao, C Bartolozzi, G Indiveri, "An Ultralow Leakage Synaptic Scaling Homeostatic Plasticity Circuit With Configurable Time Scales up to 100 ks", IEEE Transactions on Biomedical Circuits and Systems, PP:(99), 2017
A differential memristive synapse circuit for on-line learning in neuromorphic computing systems
MV Nair, LK Muller, G Indiveri, "A differential memristive synapse circuit for on-line learning in neuromorphic computing systems", Nano Futures 1.3 (2017): 035003.
Very Large-Scale Neuromorphic Systems for Biological Signal Processing
F Catthoor, S Mitra, A Das, S Schaafsma, chapter in "CMOS circuits for biological sensing and processing" (eds. J. Cummings, S. Mitra), ISBN 978-3-319-67723-1, Springer, Heidelberg, Germany, Jan. 2018.
Unsupervised heart-rate estimation in wearables with Liquid states and a probabilistic readout
A Das, P Pradhapan, W Groenendaal, P Adiraju, R T Rajan, .Catthoor, S Schaafsma, J L Krichmar, N Dutt, C Van Hoof, "Unsupervised heart-rate estimation in wearables with Liquid states and a probabilistic readout." Neural Networks 99 (2018): 134-147.
Mapping of local and global synapses on spiking neuromorphic hardware
A Das, Y Wu, K Huynh, F Dell'Anna, F Catthoor, S Schaafsma, "Mapping of local and global synapses on spiking neuromorphic hardware", 2018 Design, Automation & Test in Europe Conference & Exhibition (DATE).
An event-based classifier for Dynamic Vision Sensor and synthetic data
E Stromatias, M Soto, M T Serrano Gotarredona, B Linares Barranco, "An event-based classifier for Dynamic Vision Sensor and synthetic data", Frontiers in Neuroscience, 11 (2017).
