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Sadique Sheik

Showing results (1-10 of 15) with videos related to

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Nature Communications|April 15, 2025
The road to commercial success for neuromorphic technologiesDylan Richard Muir, Sadique Sheik
Frontiers in Neuroscience|September 22, 2017
Hardware-Efficient On-line Learning through Pipelined Truncated-Error Backpropagation in Binary-State NetworksHesham Mostafa, Bruno Pedroni, Sadique Sheik, et al.
Frontiers in Neuroscience|July 23, 2020
Optimizing the Energy Consumption of Spiking Neural Networks for Neuromorphic ApplicationsMartino Sorbaro, Qian Liu, Massimo Bortone, et al.
Frontiers in Neuroscience|February 27, 2023
EXODUS: Stable and efficient training of spiking neural networksFelix C Bauer, Gregor Lenz, Saeid Haghighatshoar, et al.
Frontiers in Neuroinformatics|September 19, 2014
PyNCS: a microkernel for high-level definition and configuration of neuromorphic electronic systemsFabio Stefanini, Emre O Neftci, Sadique Sheik, et al.
Frontiers in Neuroscience|June 1, 2016
Editorial: Synaptic Plasticity for Neuromorphic SystemsChristian G Mayr, Sadique Sheik, Chiara Bartolozzi, et al.
Frontiers in Neuroscience|January 13, 2023
Adversarial attacks on spiking convolutional neural networks for event-based visionJulian Büchel, Gregor Lenz, Yalun Hu, et al.
Frontiers in Neuroscience|January 31, 2014
A robust sound perception model suitable for neuromorphic implementationMartin Coath, Sadique Sheik, Elisabetta Chicca, et al.
Frontiers in Neuroscience|February 21, 2012
Emergent Auditory Feature Tuning in a Real-Time Neuromorphic VLSI SystemSadique Sheik, Martin Coath, Giacomo Indiveri, et al.
Frontiers in Neuroscience|January 19, 2024
Chip-In-Loop SNN Proxy Learning: a new method for efficient training of spiking neural networksYuhang Liu, Tingyu Liu, Yalun Hu, et al.
Pageof 2

Showing results (1-10 of 15) with videos related to

Sort By:
Pageof 2
Nature Communications|April 15, 2025
The road to commercial success for neuromorphic technologiesDylan Richard Muir, Sadique Sheik
Frontiers in Neuroscience|September 22, 2017
Hardware-Efficient On-line Learning through Pipelined Truncated-Error Backpropagation in Binary-State NetworksHesham Mostafa, Bruno Pedroni, Sadique Sheik, et al.
Frontiers in Neuroscience|July 23, 2020
Optimizing the Energy Consumption of Spiking Neural Networks for Neuromorphic ApplicationsMartino Sorbaro, Qian Liu, Massimo Bortone, et al.
Frontiers in Neuroscience|February 27, 2023
EXODUS: Stable and efficient training of spiking neural networksFelix C Bauer, Gregor Lenz, Saeid Haghighatshoar, et al.
Frontiers in Neuroinformatics|September 19, 2014
PyNCS: a microkernel for high-level definition and configuration of neuromorphic electronic systemsFabio Stefanini, Emre O Neftci, Sadique Sheik, et al.
Frontiers in Neuroscience|June 1, 2016
Editorial: Synaptic Plasticity for Neuromorphic SystemsChristian G Mayr, Sadique Sheik, Chiara Bartolozzi, et al.
Frontiers in Neuroscience|January 13, 2023
Adversarial attacks on spiking convolutional neural networks for event-based visionJulian Büchel, Gregor Lenz, Yalun Hu, et al.
Frontiers in Neuroscience|January 31, 2014
A robust sound perception model suitable for neuromorphic implementationMartin Coath, Sadique Sheik, Elisabetta Chicca, et al.
Frontiers in Neuroscience|February 21, 2012
Emergent Auditory Feature Tuning in a Real-Time Neuromorphic VLSI SystemSadique Sheik, Martin Coath, Giacomo Indiveri, et al.
Frontiers in Neuroscience|January 19, 2024
Chip-In-Loop SNN Proxy Learning: a new method for efficient training of spiking neural networksYuhang Liu, Tingyu Liu, Yalun Hu, et al.
Pageof 2