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Analog Circuits for Mixed-Signal Neuromorphic Computing Architectures in 28 nm FD-SOI Technology

Ning Qiao and Giacomo Indiveri, Automatic Gain Control of Ultra-Low Leakage Synaptic Scaling Homeostatic Plasticity Circuits, Biomedical Circuits and Systems (BIOCAS) 2016

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

Ning Qiao, Giacomo Indiveri, Chiara 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

Ning Qiao and Giacomo 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

Ning Qiao and Giacomo Indiveri, Automatic Gain Control of Ultra-Low Leakage Synaptic Scaling Homeostatic Plasticity Circuits , Biomedical Circuits and Systems (BIOCAS) 2016

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

Ning Qiao, Chiara Bartolozzi, Giacomo Indiver, 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

Nair, Manu V., Lorenz K. Muller, and Giacomo 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, F.Catthoor, S.Schaafsma, J.L.Krichmar, N.Dutt, C.Van Hoof, CoRR, http://arxiv.org/abs/1708.05356, 2017. Accepted for Neural Networks, 2018.

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 and S.Schaafsma, accepted for Proc. 21th ACM/IEEE Design and Test in Europe Conf.(DATE), Dresden, Germany, March 2018.

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

Reconfigurable neuromorphic synapse interconnects with TFTs

J.Genoe, P.Raghavan, Z.Tokei, F.Catthoor, S.Steudel, Proc. 46th Europ. Solid-state Device Conf.(ESSDERC), Lausanne, Switzerland, pp.69-, Sep. 2016.

Reconfigurable neuromorphic synapse interconnects with TFTs - Read More…

Reconfigurable neuromorphic synapse interconnects with TFT

S.Steudel, K.Myny, J.Stuijt, F.Catthoor, 1st Neuromorphic computing wsh., Grenoble, France, Nov. 2017. (only presentation)

Reconfigurable neuromorphic synapse interconnects with TFT - Read More…

An event-based classifier for dynamic vision sensor and synthetic data

Stromatias, E., Soto, M., Serrano Gotarredona, M. T., & Linares Barranco, B. (2017). An event-based classifier for Dynamic Vision Sensor and synthetic data. Frontiers in Neuroscience, 11(artículo 360).

An event-based classifier for dynamic vision sensor and synthetic data - 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…

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…

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