Two-Dimensional Materials for Brain-Inspired Computing Hardware
Recent breakthroughs in brain-inspired computing promise to address a wide range of
problems from security to healthcare. However, the current strategy of implementing artificial …
problems from security to healthcare. However, the current strategy of implementing artificial …
Memristive Ion Dynamics to Enable Biorealistic Computing
Conventional artificial intelligence (AI) systems are facing bottlenecks due to the
fundamental mismatches between AI models, which rely on parallel, in-memory, and …
fundamental mismatches between AI models, which rely on parallel, in-memory, and …
Artificial Neurons Using Ag− In− Zn− S/Sericin Peptide‐Based Threshold Switching Memristors for Spiking Neural Networks
N He, J Yan, Z Zhang, H Qin, E Hu… - Advanced Electronic …, 2023 - Wiley Online Library
Memristive devices with threshold switching characteristics can be effectively utilized to
mimic biological neurons acting as one of the key building blocks for constructing advanced …
mimic biological neurons acting as one of the key building blocks for constructing advanced …
Leaky Integrate‐and‐Fire Neuron Based on Organic Electrochemical Transistor for Spiking Neural Networks with Temporal‐Coding
Spiking neural networks (SNNs) employ discrete spikes that mimic the firing of neurons in
biological systems to process and transmit information. This characteristic enables SNNs to …
biological systems to process and transmit information. This characteristic enables SNNs to …
Review of memristor based neuromorphic computation: Opportunities, challenges and applications
V Ravi - Engineering Research Express, 2024 - iopscience.iop.org
The memristor is regarded as one of the promising possibilities for next-generation
computing systems due to its small size, easy construction, and low power consumption …
computing systems due to its small size, easy construction, and low power consumption …
Simulation-based effective comparative analysis of neuron circuits for neuromorphic computation systems
The spiking neural networks (SNN) that are inspired by the human brain offers wider scope
for application in the growth of neuromorphic computing systems due to their brain level …
for application in the growth of neuromorphic computing systems due to their brain level …
[HTML][HTML] Memristor based Spiking Neural Networks: Cooperative Development of Neural Network Architecture/Algorithms and Memristors
H Peng, L Gan, X Guo, HH Peng, L Gan, X Guo - Chip, 2024 - Elsevier
Inspired by the structure and principles of the human brain, spike neural networks (SNNs)
appear as the latest generation of artificial neural networks, attracting significant and …
appear as the latest generation of artificial neural networks, attracting significant and …
A Faithful and Compact Diffusive Memristor Model
Diffusive memristors, characterized by their nonlinear dynamic conductance changes in
response to stimulations, enable effective and efficient hardware implementation of various …
response to stimulations, enable effective and efficient hardware implementation of various …
Modeling a neurological disorder as the result of an operator acting on the brain: A first sketch based on network channel modeling
The brain is a complex network, and diseases can alter its structures and connections
between regions. Therefore, we can try to formalize the action of diseases by using …
between regions. Therefore, we can try to formalize the action of diseases by using …
The degradation mechanism and stability enhancement of GaSe lateral memristors
J Tang, R Zhan, E Chen, Q Zhu, W Li, D Li, Z Lu… - Applied Physics …, 2024 - pubs.aip.org
Memristors have attracted considerable attention in the fields of high-density memory and
artificial intelligence. However, the performance and stability of memristors may undergo …
artificial intelligence. However, the performance and stability of memristors may undergo …