Minireview on signal exchange between nonlinear circuits and neurons via field coupling
C Wang, J Tang, J Ma - The European Physical Journal Special Topics, 2019 - Springer
Played as an important nonlinear electric device, memristor is often used to build a variety of
nonlinear circuits, which can produce a variety of modes in oscillation. Due to the memory …
nonlinear circuits, which can produce a variety of modes in oscillation. Due to the memory …
A survey of neuromorphic computing and neural networks in hardware
Neuromorphic computing has come to refer to a variety of brain-inspired computers, devices,
and models that contrast the pervasive von Neumann computer architecture. This …
and models that contrast the pervasive von Neumann computer architecture. This …
On the self-repair role of astrocytes in STDP enabled unsupervised SNNs
Neuromorphic computing is emerging to be a disruptive computational paradigm that
attempts to emulate various facets of the underlying structure and functionalities of the brain …
attempts to emulate various facets of the underlying structure and functionalities of the brain …
A neuromorphic CMOS circuit with self-repairing capability
E Rahiminejad, F Azad, A Parvizi-Fard… - … on Neural Networks …, 2021 - ieeexplore.ieee.org
Neurophysiological observations confirm that the brain not only is able to detect the
impaired synapses (in brain damage) but also it is relatively capable of repairing faulty …
impaired synapses (in brain damage) but also it is relatively capable of repairing faulty …
Delving deeper into astromorphic transformers
Preliminary attempts at incorporating the critical role of astrocytes-cells that constitute more
than 50% of human brain cells-in brain-inspired neuromorphic computing remain in infancy …
than 50% of human brain cells-in brain-inspired neuromorphic computing remain in infancy …
A digital hardware realization for spiking model of cutaneous mechanoreceptor
Inspired by the biology of human tactile perception, a hardware neuromorphic approach is
proposed for spiking model of mechanoreceptors to encode the input force. In this way, a …
proposed for spiking model of mechanoreceptors to encode the input force. In this way, a …
Digital implementation of the two-compartmental Pinsky–Rinzel pyramidal neuron model
It is believed that brain-like computing system can be achieved by the fusion of electronics
and neuroscience. In this way, the optimized digital hardware implementation of neurons …
and neuroscience. In this way, the optimized digital hardware implementation of neurons …
Computational models of astrocytes and astrocyte–neuron interactions: characterization, reproducibility, and future perspectives
T Manninen, R Havela, ML Linne - Computational glioscience, 2019 - Springer
Astrocytes have been shown to participate in a variety of brain functions. These include
homeostasis, metabolism, neuronal survival in pathological circumstances, and …
homeostasis, metabolism, neuronal survival in pathological circumstances, and …
Assessing self-repair on FPGAs with biologically realistic astrocyte-neuron networks
This paper presents a hardware based implementation of a biologically-faithful astrocyte-
based selfrepairing mechanism for Spiking Neural Networks. Spiking Astrocyte-neuron …
based selfrepairing mechanism for Spiking Neural Networks. Spiking Astrocyte-neuron …
Analog implementation of neuron–astrocyte interaction in tripartite synapse
Neural synchronization is considered as an important mechanism for information
processing. In addition, recent neurophysiological findings approve that astrocytes adjust …
processing. In addition, recent neurophysiological findings approve that astrocytes adjust …