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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.

Reconfigurable neuromorphic synapse interconnects with TFTs - Read More…

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.

Role of Al doping in the filament disruption in HfO2 resistance switches - Read More…

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

Stochastic circuit breaker network model for bipolar resistance switching memories - Read More…

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

Resistive random access memory (RRAM) technology: From material, device, selector, 3D integration to bottom-up fabrication - Read More…

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

Evidence of soft bound behaviour in analogue memristive devices for neuromorphic computing - Read More…

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

Spike-driven threshold-based learning with memristive synapses and neuromorphic silicon neurons - Read More…

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.

Hybrid Neural Network, An Efficient Low-Power Digital Hardware Implementation of Event-based Artificial Neural Network - Read More…

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.

Performance Comparison of Time-Step-Driven versus Event-Driven Neural State Update Approaches in SpiNNaker - Read More…

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.

Event-Driven Configurable Module with Refractory Mechanism for ConvNets on FPGA - Read More…

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.

Calibration of offset via bulk for low-power HfO2 based 1T1R memristive crossbar read-out system - Read More…

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

Very Large Scale Neuromorphic Systems For Biological Signal Processing - Read More…

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

Power-Accuracy Trade-offs for Heartbeat Classification on Neural Networks Hardware - Read More…

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

Unsupervised Heart-rate Estimation in Wearables With Liquid States and A Probabilistic Readout - Read More…

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

Energy-Efficient Mapping of LTE-A PHY Signal Processing Tasks on Microservers - Read More…

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

Heartbeat Classification in Wearables Using Multi-layer Perceptron and Time-Frequency Joint Distribution of ECG - Read More…

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

Mapping of Local and Global Synapses on Spiking Neuromorphic Hardware - Read More…

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

Computing optimal discrete readout weights in reservoir computing is NP-hard - Read More…

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)

Reservoir Transfer on Analog Neuromorphic Hardware - Read More…

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 Interference using Conceptor-Aided Backpropagation - Read More…

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)

Overcoming Catastrophic Forgetting by Conceptors - Read More…

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

Neuromorphic Electronic Systems for Reservoir Computing - Read More…

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

Design-Technology Co-Optimization for OxRRAM-Based Synaptic Processing Unit - Read More…

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)

Self-Rectifying Behavior and Analog Switching under Identical Pulses Using Tri-Layer RRAM Crossbar Array for Neuromorphic Systems - Read More…

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.

Bulk-based DC offset calibration for low-power memristor array read-out system - Read More…

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 clock-less ultra-low power bit-serial LVDS link for Address-Event multi-chip systems - Read More…

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

A bi-directional Address-Event transceiver block for low-latency inter-chip communication in neuromorphic systems - Read More…

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

Metal Oxide Resistive Memory (OxRAM) and Phase Change Memory (PCM) as Artificial Synapses in Spiking Neural Networks - Read More…

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)

Role of synaptic variability in spike-based neuromorphic circuits with unsupervised learning - Read More…

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 Scalable Multicore Architecture With Heterogeneous Memory Structures for Dynamic Neuromorphic Asynchronous Processors (DYNAPs) - Read More…

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.

A Configurable Event-Driven Convolutional Node with Rate Saturation Mechanism for Modular ConvNet Systems Implementation - Read More…

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.

Digital Implementation of the Two-Compartmental Pinsky–Rinzel Pyramidal Neuron Model - Read More…

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

An event-driven classifier for spiking neural networks fed with synthetic or dynamic vision sensor data - Read More…

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)

Self-Aligned Amorphous Indium-Tin-Zinc-Oxide Thin Film, Transistors on Polyimide Foil - Read More…

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

Off-current reduction in p-type SnO thin film transistors - Read More…

Memristors fire away

B Linares-Barranco, "Memristors fire away", Nature Electronics, vol. 1, pp. 100-101, Feb. 2018 (green open access).

Memristors fire away - Read More…

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.

Narrow Heater Bottom Electrode-based Phase Change Memory as a Bidirectional Artificial Synapse - Read More…

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.

Role of synaptic variability in resistive memory-based spiking neural networks with unsupervised learning - Read More…

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).

On Practical Issues for Stochastic STDP Hardware With 1-bit Synaptic Weights - Read More…

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).

Extended memory lifetime in spiking neural networks employing memristive synapses with nonlinear conductance dynamics - Read More…

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).

Stimulated Ionic Telegraph Noise in Filamentary Memristive Devices - Read More…

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)

Analog circuits for mixed-signal neuromorphic computing architectures in 28 nm FD-SOI technology - Read More…

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.

Automatic Gain Control of Ultra-Low Leakage Synaptic Scaling Homeostatic Plasticity Circuits - Read More…

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.

An auto-scaling wide dynamic range current to frequency converter for real-time monitoring of signals in neuromorphic systems - Read More…

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).

Scaling mixed-signal neuromorphic processors to 28 nm FD-SOI technologies - Read More…

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

An Ultralow Leakage Synaptic Scaling Homeostatic Plasticity Circuit With Configurable Time Scales up to 100 ks - Read More…

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.

A differential memristive synapse circuit for on-line learning in neuromorphic computing systems - Read More…

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.

Very Large-Scale Neuromorphic Systems for Biological Signal Processing - Read More…

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.

Unsupervised heart-rate estimation in wearables with Liquid states and a probabilistic readout - Read More…

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).

Mapping of local and global synapses on spiking neuromorphic hardware - Read More…

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).

An event-based classifier for Dynamic Vision Sensor and synthetic data - Read More…

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