Results 1 to 10 of about 501 (135)

Spiking Neural Networks based on OxRAM Synapses for Real-time Unsupervised Spike Sorting [PDF]

Frontiers in Neuroscience, 2016
In this paper, we present an alternative approach to perform spike sorting of complex brain signals based on spiking neural networks (SNN). The proposed architecture is suitable for hardware implementation by using RRAM technology for the implementation ...
Thilo Werner, Thilo Werner, Elisa Vianello, Olivier Bichler, Daniele Garbin, Daniele Garbin, Daniel Cattaert, Blaise Yvert, Blaise Yvert, Barbara De Salvo, Luca Perniola   +10 more
doaj   +7 more sources

Hardware-Efficient Stochastic Binary CNN Architectures for Near-Sensor Computing [PDF]

Frontiers in Neuroscience, 2022
With recent advances in the field of artificial intelligence (AI) such as binarized neural networks (BNNs), a wide variety of vision applications with energy-optimized implementations have become possible at the edge.
Vivek Parmar, Bogdan Penkovsky, Damien Querlioz, Manan Suri   +3 more
doaj   +2 more sources

Corrigendum: Spiking Neural Networks Based on OxRAM Synapses for Real-Time Unsupervised Spike Sorting [PDF]

Frontiers in Neuroscience, 2017
Thilo Werner, Thilo Werner, Elisa Vianello, Elisa Vianello, Olivier Bichler, Daniele Garbin, Daniele Garbin, Daniel Cattaert, Blaise Yvert, Blaise Yvert, Barbara De Salvo, Barbara De Salvo, Luca Perniola, Luca Perniola   +13 more
doaj   +2 more sources

Neuromorphic Low-Power Inference on Memristive Crossbars With On-Chip Offset Calibration

IEEE Access, 2021
Monolithic integration of silicon with nano-sized Redox-based resistive Random-Access Memory (ReRAM) devices opened the door to the creation of dense synaptic connections for bio-inspired neuromorphic circuits.
Charanraj Mohan, L. A. Camunas-Mesa, Jose M. De La Rosa, Elisa Vianello, Teresa Serrano-Gotarredona, Bernabe Linares-Barranco   +5 more
doaj   +1 more source

In-Memory Computation Based Mapping of Keccak-f Hash Function

Frontiers in Nanotechnology, 2022
Cryptographic hash functions play a central role in data security for applications such as message authentication, data verification, and detecting malicious or illegal modification of data.
Sandeep Kaur Kingra, Vivek Parmar, Manan Suri   +2 more
doaj   +1 more source

Endurance of 2 Mbit Based BEOL Integrated ReRAM

IEEE Access, 2022
In this work, we experimentally characterize the endurance of 2 Mbit resistive switching random access memories (ReRAMs) from a 16 MBit test-chip. Here, very rare failure events where the memory cells become stuck in the low-resistive state (LRS) are ...
Nils Kopperberg, Stefan Wiefels, Karl Hofmann, Jan Otterstedt, Dirk J. Wouters, Rainer Waser, Stephan Menzel   +6 more
doaj   +1 more source

Neuromorphic In-Memory RRAM NAND/NOR Circuit Performance Analysis in a CNN Training Framework on the Edge for Low Power IoT

IEEE Access, 2022
Training a CNN involves computationally intense optimization algorithms to fit the network using a training dataset, to update the network weight for inferencing and then pattern classification.
Nagaraj Lakshmana Prabhu, Nagarajan Raghavan   +1 more
doaj   +1 more source

Computational Failure Analysis of In-Memory RRAM Architecture for Pattern Classification CNN Circuits

IEEE Access, 2021
Power-efficient data processing subsystems performing millions of complex concurrent arithmetic operations per second form part of today’s essential solution required to meet the growing demand of edge computing applications, given the volume of ...
Nagaraj Lakshmana Prabhu, Nagarajan Raghavan   +1 more
doaj   +1 more source

Impact of laser attacks on the switching behavior of RRAM devices [PDF]

, 2020
The ubiquitous use of critical and private data in electronic format requires reliable and secure embedded systems for IoT devices. In this context, RRAMs (Resistive Random Access Memories) arises as a promising alternative to replace current memory ...
Arumi Delgado, Daniel, Bargalló González, Mireia, Campabadal, Francesca, Gómez Pau, Álvaro, Hernández, David, Manich Bou, Salvador, Montilla, Víctor, Rodríguez Montañés, Rosa   +7 more
core   +2 more sources

An memristor-based synapse implementation using BCM learning rule [PDF]

, 2021
A novel memristive synapse model based on the HP memristor is proposed in this paper, which can address the problem of synaptic weight infinite modulations.
Harkin, Jim, Huang, Yongchuang, Liu, Junxiu, Luo, Yuling, McDaid, Liam   +4 more
core   +2 more sources