Emerging memristive artificial neuron and synapse devices for the neuromorphic electronics era

Abstract

Growth of data eases the way to access the world but consumes increasing energy to store and process. Neuromorphic electronics emerged in the last decade, inspired by biological neuron and...

Bioorthogonal chemistry of polyoxometalates – challenges and prospects

“…The use of biomolecules is of particular importance for the implementation of switchable POM elements in neuromorphic electronics. 194 …”

Unveiling transient current response in bilayer oxide-based physical reservoirs for time-series data analysis

“…Artificial neural networks (ANNs) are designed to mimic the structure and functionality of biological neural networks found in the human brain. 1–3 The nervous system comprises billions of interconnected neurons that communicate via electrical and chemical signals. 4,5 These neurons are organized into complex networks that can process and integrate a vast amount of information, learn from experience, and adapt to new situations.…”

Reliability effects of lateral filament confinement by nano-scaling the oxide in memristive devices

“…Non-von Neumann approaches like computation-in-memory can use memristive devices as adjustable weights in neural nets, inspired by the function of biological synapses. 3,4 One promising kind of memristive device is the oxide-based valence-change memory (VCM), where a voltage-controlled oxygen-deficient filamentary region determines the conductance state of the device. 5–7 Hardware-implemented non-von Neumann architectures based on these devices have successfully been demonstrated.…”