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Global and partial synchronism in phase-locked loop networks

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Optimizing Deeper Spiking Neural Networks for Dynamic Vision Sensing

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Low‐Power Computing with Neuromorphic Engineering

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Reproduce the biophysical function of chemical synapse by using a memristive synapse

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A Survey on Silicon Photonics for Deep Learning

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Prospect of Spintronics in Neuromorphic Computing

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Brain-Inspired Computing: A Systematic Survey and Future Trends

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Training a spiking neural network to control a 4-DoF robotic arm based on Spike Timing-Dependent Plasticity

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An Augmented Two-Layer Model Captures Nonlinear Analog Spatial Integration Effects in Pyramidal Neuron Dendrites

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Genetic variants in Alzheimer disease — molecular and brain network approaches

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Hybrid Scheme for Modeling Local Field Potentials from Point-Neuron Networks

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Computational models of epilepsy

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Artificial Neuron Based on Integrated Semiconductor Quantum Dot Mode-Locked Lasers

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sPyNNaker: A Software Package for Running PyNN Simulations on SpiNNaker

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A Low-Cost High-Speed Neuromorphic Hardware Based on Spiking Neural Network

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Bifurcations to bursting and spiking in the Chay neuron and their validation in a digital circuit

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Capturing the Dynamical Repertoire of Single Neurons with Generalized Linear Models

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Rewiring neural interactions by micro-stimulation

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Offset Boosting-Entangled Complex Dynamics in the Memristive Rulkov Neuron

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Bifurcation Analysis of a General Class of Nonlinear Integrate-and-Fire Neurons

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FPGA Implementation of Izhikevich Spiking Neural Networks for Character Recognition

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Transcranial Electrical Stimulation Accelerates Human Sleep Homeostasis

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Analyzing multiple spike trains with nonparametric granger causality

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Self-organized criticality in cortical assemblies occurs in concurrent scale-free and small-world networks

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The development and modelling of devices and paradigms for transcranial magnetic stimulation

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Nonsmooth dynamics in spiking neuron models

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Efficient simulation of large-scale Spiking Neural Networks using CUDA graphics processors

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An FPGA Platform for Real-Time Simulation of Spiking Neuronal Networks

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NeuroFlow: A General Purpose Spiking Neural Network Simulation Platform using Customizable Processors

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A brief history of excitable map-based neurons and neural networks

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Automated High-Throughput Characterization of Single Neurons by Means of Simplified Spiking Models

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A Symbiotic Brain-Machine Interface through Value-Based Decision Making

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Synchronization transitions in a discrete memristor-coupled bi-neuron model

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Neural heterogeneity controls computations in spiking neural networks

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Explainable AI for Glaucoma Prediction Analysis to Understand Risk Factors in Treatment Planning

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Causal Measures of Structure and Plasticity in Simulated and Living Neural Networks

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A Parallel Workflow Pattern Modeling Using Spiking Neural P Systems With Colored Spikes

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Open Source Brain: A Collaborative Resource for Visualizing, Analyzing, Simulating, and Developing Standardized Models of Neurons and Circuits

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Advancements in Algorithms and Neuromorphic Hardware for Spiking Neural Networks

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Multistability and Phase Synchronization of Rulkov Neurons Coupled with a Locally Active Discrete Memristor

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Formation of feedforward networks and frequency synchrony by spike-timing-dependent plasticity

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A discrete time neural network model with spiking neurons

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Modeling Spiking Neural Networks on SpiNNaker

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Unsupervised heart-rate estimation in wearables with Liquid states and a probabilistic readout

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Functional connectivity and dynamics of cortical–thalamic networks co-cultured in a dual compartment device

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Efficient modelling of spiking neural networks on a scalable chip multiprocessor

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A Highly Effective and Robust Membrane Potential-Driven Supervised Learning Method for Spiking Neurons

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In vitro large-scale experimental and theoretical studies for the realization of bi-directional brain-prostheses

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Discrete memristor applied to construct neural networks with homogeneous and heterogeneous coexisting attractors

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Analysis of Chaotic Resonance in Izhikevich Neuron Model

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Chaotic Bursting Dynamics and Coexisting Multistable Firing Patterns in 3D Autonomous Morris–Lecar Model and Microcontroller-Based Validations

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Energy estimation and coupling synchronization between biophysical neurons

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A Memristors‐Based Dendritic Neuron for High‐Efficiency Spatial‐Temporal Information Processing

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A surrogate gradient spiking baseline for speech command recognition

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Idealization and abstraction: refining the distinction

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Dendritic NMDA receptors in parvalbumin neurons enable strong and stable neuronal assemblies

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Modeling Working Memory in a Spiking Neuron Network Accompanied by Astrocytes

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A CORDIC Based Digital Hardware For Adaptive Exponential Integrate and Fire Neuron

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A Simple Rule for Dendritic Spine and Axonal Bouton Formation Can Account for Cortical Reorganization after Focal Retinal Lesions

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Training spiking neural models using cuckoo search algorithm

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Memristive cyclic three-neuron-based neural network with chaos and global coexisting attractors

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Review of advances in neural networks: Neural design technology stack

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An Event-Based Neural Network Architecture With an Asynchronous Programmable Synaptic Memory

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Dendrites of dentate gyrus granule cells contribute to pattern separation by controlling sparsity

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Chaotic resonance in Hodgkin–Huxley neuron

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Brain-inspired spiking neural networks for decoding and understanding muscle activity and kinematics from electroencephalography signals during hand movements

Kumarasinghe, K., Kasabov, N. K., & Taylor, D. (2021) · Scientific Reports · doi:10.1038/s41598-021-81805-4 · Cited by 81

Leaky Integrate-and-Fire Neuron Circuit Based on Floating-Gate Integrator

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Power analysis of large-scale, real-time neural networks on SpiNNaker

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Fitting Neuron Models to Spike Trains

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Real-time biomimetic Central Pattern Generators in an FPGA for hybrid experiments

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A Neuromorphic Prosthesis to Restore Communication in Neuronal Networks

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Energy dependence on discharge mode of Izhikevich neuron driven by external stimulus under electromagnetic induction

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SAM: A Unified Self-Adaptive Multicompartmental Spiking Neuron Model for Learning With Working Memory

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Targeting alpha-band oscillations in a cortical model with amplitude-modulated high-frequency transcranial electric stimulation

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Texture Discrimination with a Soft Biomimetic Finger Using a Flexible Neuromorphic Tactile Sensor Array That Provides Sensory Feedback

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Reproduced neuron-like excitability and bursting synchronization of memristive Josephson junctions loaded inductor

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A review on the complexities of brain activity: insights from nonlinear dynamics in neuroscience

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Fuzzy systems, neural networks and neuro-fuzzy systems: A vision on their hardware implementation and platforms over two decades

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Overview of facts and issues about neural coding by spikes

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Human-Robot Interaction in Autism: FACE, an Android-based Social Therapy

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FPGA Accelerated Simulation of Biologically Plausible Spiking Neural Networks

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An electronic implementation for Morris–Lecar neuron model

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Analytical Integrate-and-Fire Neuron Models with Conductance-Based Dynamics for Event-Driven Simulation Strategies

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Learning to Produce Syllabic Speech Sounds via Reward-Modulated Neural Plasticity

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Integrated feature and parameter optimization for an evolving spiking neural network: Exploring heterogeneous probabilistic models

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Minimal model of interictal and ictal discharges “Epileptor-2”

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Dynamic property analysis and circuit implementation of simplified memristive Hodgkin–Huxley neuron model

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Trends in recurrence analysis of dynamical systems

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Magnetic skyrmions: materials, manipulation, detection, and applications in spintronic devices

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Pattern separation of spiketrains in hippocampal neurons

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A review of computational modeling and deep brain stimulation: applications to Parkinson’s disease

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S2N2: A FPGA Accelerator for Streaming Spiking Neural Networks

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A Review of Algorithms and Hardware Implementations for Spiking Neural Networks

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