Spike-Driven Synaptic Plasticity: Theory, Simulation, VLSI Implementation

No abstract is available for this paper.

• Publication year

  2000

• Venue

  Neural Computation

• Publication date

  2000-10-01

• Fields of study

  Medicine, Physics, Computer Science, Engineering

• Identifiers
  DOI 10.1162/089976600300014917PMID 11032032
• External record

  Open on Semantic Scholar

• Source metadata

  Semantic Scholar, PubMed

• No claims are published for this paper.

• No concepts are published for this paper.

• Competitive learning with floating-gate circuits

  2002cited by this paper
• An Algorithm for Modifying Neurotransmitter Release Probability Based on Pre- and Postsynaptic Spike Timing

  2001cited by this paper
• Resonance phenomenon of interspike intervals from a spiking oscillator with two periodic inputs

  2001cited by this paper
• Neurophysiology of a VLSI spiking neural network: LANN21

  2000cited by this paper
• Efficient Event-Driven Simulation of Large Networks of Spiking Neurons and Dynamical Synapses

  2000cited by this paper
• Collective Behavior of Networks with Linear (VLSI) Integrate-and-Fire Neurons

  1999influential reference
• Cortical Cells Should Fire Regularly, But Do Not

  1999cited by this paper
• Advances in Neural Information Processing Systems 11

  1999cited by this paper
• Synaptic Modifications in Cultured Hippocampal Neurons: Dependence on Spike Timing, Synaptic Strength, and Postsynaptic Cell Type

  1998cited by this paper
• Floating-gate MOS synapse transistors

  1998cited by this paper
• Neuromorphic systems engineering: neural networks in silicon

  1998cited by this paper
• A critical window for cooperation and competition among developing retinotectal synapses

  1998cited by this paper
• Slow stochastic Hebbian learning of classes of stimuli in a recurrent neural network.

  1998cited by this paper
• Apprendimento Dinamico Della Memoria Di Lavoro: Una Realizzazione in Elettronica Analogica

  1998cited by this paper
• Learning attractors in an asynchronous, stochastic electronic neural network.

  1998cited by this paper
• All-or-none potentiation at CA3-CA1 synapses.

  1998cited by this paper
• Asynchronous simulation of large networks of spiking neurons and dynamical synapses

  1998cited by this paper
• Analog Versus Digital: Extrapolating from Electronics to Neurobiology

  1998cited by this paper
• Temporally Asymmetric Hebbian Learning, Spike liming and Neural Response Variability

  1998cited by this paper
• Regulation of Synaptic Efficacy by Coincidence of Postsynaptic APs and EPSPs

  1997influential reference
• An Analog Memory Circuit for Spiking Silicon Neurons

  1997cited by this paper
• Model of global spontaneous activity and local structured activity during delay periods in the cerebral cortex.

  1997cited by this paper
• Chaos in Neuronal Networks with Balanced Excitatory and Inhibitory Activity

  1996cited by this paper
• A Spike Based Learning Neuron in Analog VLSI

  1996cited by this paper
• Electronic implementation of an analogue attractor neural network with stochastic learning

  1995cited by this paper
• Learning in Neural Networks with Material Synapses

  1994influential reference
• Inferior temporal cortex: where visual perception meets memory.

  1993cited by this paper
• A synaptic model of memory: long-term potentiation in the hippocampus

  1993cited by this paper
• ASSOCIATIVE MEMORY IN NEURAL NETWORKS WITH BINARY SYNAPSES

  1990cited by this paper
• Chaos in Neural Networks

  1990cited by this paper
• Analog VLSI and neural systems

  1989influential reference
• Introduction to theoretical neurobiology

  1988cited by this paper
• Statistical mechanics of neural networks near saturation

  1987cited by this paper
• A memory which forgets

  1986cited by this paper
• Networks of Formal Neurons and Memory Palimpsests

  1986cited by this paper
• Neural networks and physical systems with emergent collective computational abilities.

  1982cited by this paper
• Theory for the development of neuron selectivity: orientation specificity and binocular interaction in visual cortex

  1982influential reference
• Storing covariance with nonlinearly interacting neurons

  1977cited by this paper
• Diffusion Processes and Related Topics in Biology

  1977cited by this paper
• Introductory Probability and Statistical Applications

  1970cited by this paper
• Non-Holographic Associative Memory

  1969cited by this paper
• On learning and energy-entropy dependence in recurrent and nonrecurrent signed networks

  1969cited by this paper
• Introductory Probability and Statistical Applications.

  1966cited by this paper
• The theory of stochastic processes

  1965cited by this paper
• RANDOM WALK MODELS FOR THE SPIKE ACTIVITY OF A SINGLE NEURON.

  1964cited by this paper

• Technology Roadmap of Bioinspired Computing Hardware.

  2026cites this paper
• Emerging 2D Material‐Based Synaptic Devices: Principles, Mechanisms, Improvements, and Applications

  2025cites this paper
• Uncertainty-Gated Min-Cost Flows for In Vivo NanoScale Synaptic Plasticity Tracking

  2025cites this paper
• Learning in Spiking Neural Networks with a Calcium-based Hebbian Rule for Spike-timing-dependent Plasticity

  2025cites this paper
• Revisiting bilingual processing: insights from L1 transfer in L2 acquisition.

  2025cites this paper
• Modulated spike-time dependent plasticity (STDP)-based learning for spiking neural network (SNN): A review

  2024cites this paper
• The Influence of Temporal Dependency on Training Algorithms for Spiking Neural Networks

  2024cites this paper
• Co-existence of synaptic plasticity and metastable dynamics in a spiking model of cortical circuits

  2024cites this paper
• Neural representational geometries reflect behavioral differences in monkeys and recurrent neural networks

  2024cites this paper
• Artificial neural network as a kind of self-organizing network of the same type of elements

  2024cites this paper
• An artificial synaptic device based on 1,2-diphenylacetylene with femtojoule energy consumption for neuromorphic computing

  2024cites this paper
• Continual Learning with Neuromorphic Computing: Theories, Methods, and Applications

  2024cites this paper
• Continual Learning With Neuromorphic Computing: Foundations, Methods, and Emerging Applications

  2024cites this paper
• Synaptic Plasticity Models and Bio-Inspired Unsupervised Deep Learning: A Survey

  2023cites this paper
• Mental stress recognition on the fly using neuroplasticity spiking neural networks

  2023cites this paper
• Co-existence of synaptic plasticity and metastable dynamics in a spiking model of cortical circuits

  2023cites this paper
• Transfer Learning of Fuzzy Spatio-Temporal Rules in a Brain-Inspired Spiking Neural Network Architecture: A Case Study on Spatio-Temporal Brain Data

  2023cites this paper
• Neural representational geometries correlate with behavioral differences in monkeys and recurrent neural networks

  2023cites this paper
• Spiking Neural Networks and Bio-Inspired Supervised Deep Learning: A Survey

  2023influential citation
• 55 nm CMOS Mixed-Signal Neuromorphic Circuits for Constructing Energy-Efficient Reconfigurable SNNs

  2023cites this paper
• Synaptic devices based on gate-all-around InAs nanowire field effect transistor

  2022cites this paper
• Phase‐Controlled Artificial SiZnSnO/P(VDF‐TrFE) Synaptic Devices with a High Dynamic Range for Neuromorphic Computing

  2022cites this paper
• Neural representational geometry correlates with behavioral differences between monkeys

  2022cites this paper
• Spike-based local synaptic plasticity: a survey of computational models and neuromorphic circuits

  2022influential citation
• Low-Consumption Synaptic Devices Based on Gate-All-Around InAs Nanowire Field-Effect Transistors

  2022cites this paper
• Mental Stress Recognition on the �y using Neuroplasticity Spiking Neural Networks

  2022cites this paper
• Threshold-Variation-Tolerant Coupling-Gate α-IGZO Synaptic Transistor for More Reliably Controllable Hardware Neuromorphic System

  2021cites this paper
• Embodied working memory during ongoing input streams

  2021cites this paper
• Neuromorphic Implementation of a Continuous Attractor Neural Network With Various Synaptic Dynamics

  2021cites this paper
• RRAM-Based Neuromorphic Computing Systems

  2021cites this paper
• Supervised training of spiking neural networks for robust deployment on mixed-signal neuromorphic processors

  2021cites this paper
• A Marr's Three‐Level Analytical Framework for Neuromorphic Electronic Systems

  2021cites this paper
• Dimensions of Timescales in Neuromorphic Computing Systems

  2021cites this paper
• Bio-Inspired Approaches to Safety and Security in IoT-Enabled Cyber-Physical Systems

  2020cites this paper
• Effect of interlayer on resistive switching properties of SnO2-based memristor for synaptic application

  2020cites this paper
• Oxidation-boosted charge trapping in ultra-sensitive van der Waals materials for artificial synaptic features

  2020cites this paper
• Zinc Tin Oxide Synaptic Device for Neuromorphic Engineering

  2020cites this paper
• System-level integration in neuromorphic co-processors

  2020cites this paper
• Memristive devices for brain-inspired computing

  2020cites this paper
• Supervised learning in spiking neural networks: A review of algorithms and evaluations

  2020cites this paper
• Hardware-Intrinsic Multi-Layer Security: A New Frontier for 5G Enabled IIoT

  2020cites this paper
• Implantable and Wearable Neuroengineering Education: A Review of Postgraduate Programmes

  2020cites this paper
• Hardware and Software Optimizations for Accelerating Deep Neural Networks: Survey of Current Trends, Challenges, and the Road Ahead

  2020cites this paper
• Flexible Pyrene/Phenanthro[9,10‐d]imidazole‐Based Memristive Devices for Mimicking Synaptic Plasticity

  2019cites this paper
• Laser-reconfigured MoS2/ZnO van der Waals synapse.

  2019cites this paper
• Neural State Machines for Robust Learning and Control of Neuromorphic Agents

  2019cites this paper
• Non-filamentary non-volatile memory elements as synapses in neuromorphic systems

  2019cites this paper
• Mean Field Approach for Configuring Population Dynamics on a Biohybrid Neuromorphic System

  2019cites this paper
• Artificial Neural Network Hardware Implementation: Recent Trends and Applications

  2019cites this paper
• Recent Advances in Ambipolar Transistors for Functional Applications

  2019cites this paper
• Self-powered artificial synapses actuated by triboelectric nanogenerator

  2019cites this paper
• A new design methodology to predict wind farm energy production by means of a spiking neural network–based system

  2019cites this paper
• Bidirectional Non-Filamentary RRAM as an Analog Neuromorphic Synapse, Part II: Impact of Al/Mo/Pr0.7Ca0.3MnO3 Device Characteristics on Neural Network Training Accuracy

  2018cites this paper
• Constructive spiking neural networks for simulations of neuroplasticity

  2018cites this paper
• Leaky Integrate-and-Fire Biristor Neuron

  2018cites this paper
• Methods of Spiking Neural Networks

  2018cites this paper
• Adaptive motor control and learning in a spiking neural network realised on a mixed-signal neuromorphic processor

  2018cites this paper
• Gate‐Tunable Synaptic Plasticity through Controlled Polarity of Charge Trapping in Fullerene Composites

  2018cites this paper
• VLSI implementation of a calcium-based plasticity learning model

  2018cites this paper
• Bidirectional Non-Filamentary RRAM as an Analog Neuromorphic Synapse, Part I: Al/Mo/Pr0.7Ca0.3MnO3 Material Improvements and Device Measurements

  2018cites this paper
• Towards Neuromorphic Learning Machines Using Emerging Memory Devices with Brain-Like Energy Efficiency

  2018cites this paper
• Short-term plasticity circuit device exploration in the MASTISK neuromorphic framework

  2018cites this paper
• System-Level Design and Simulation of Nanomemories and Nanoprocessors

  2018cites this paper
• A switched-current synapse circuit for spiking neural networks based on compact structure and TLBO algorithm

  2018cites this paper
• Bipolar Analog Memristors as Artificial Synapses for Neuromorphic Computing

  2018cites this paper
• Low-Power, Adaptive Neuromorphic Systems: Recent Progress and Future Directions

  2018cites this paper
• A proposed framework for Botnet Spam-email Filtering using

  2018cites this paper
• A spiking neural network model for obstacle avoidance in simulated prosthetic vision

  2017cites this paper
• Robust Associative Memories Naturally Occuring From Recurrent Hebbian Networks Under Noise

  2017cites this paper
• Do Bilinguals Automatically Activate Their Native Language When They Are Not Using It?

  2017cites this paper
• A Survey of Neuromorphic Computing and Neural Networks in Hardware

  2017cites this paper
• A Synaptic Transistor based on Quasi‐2D Molybdenum Oxide

  2017cites this paper
• Hebbian plasticity requires compensatory processes on multiple timescales

  2017cites this paper
• Synaptic plasticity in VLSI : a floating-gate approach

  2017cites this paper
• Neuromorphic Implementation of Attractor Dynamics in a Two-Variable Winner-Take-All Circuit with NMDARs: A Simulation Study

  2017cites this paper
• Graphene Devices for Beyond-CMOS Heterogeneous Integration

  2017cites this paper
• The associative brain at work: Evidence from paired associative stimulation studies in humans.

  2017cites this paper
• A CMOS synapse design implementing tunable asymmetric spike timing-dependent plasticity

  2017cites this paper
• Learning in Silicon Beyond STDP: A Neuromorphic Implementation of Multi-Factor Synaptic Plasticity With Calcium-Based Dynamics

  2016cites this paper
• An organic terpyridyl-iron polymer based memristor for synaptic plasticity and learning behavior simulation

  2016cites this paper
• Qualitative-Modeling-Based Silicon Neurons and Their Networks

  2016cites this paper
• Integrate-and-Fire Spiking (IFS) Neuron

  2016cites this paper
• Ultracompact Graphene Multigate Variable Resistor for Neuromorphic Computing

  2016cites this paper
• Neuromorphic implementation of attractor dynamics in decision circuit with NMDARs

  2016cites this paper
• NeuCube for obstacle avoidance in simulated prosthetic vision

  2016cites this paper
• Computational principles of synaptic memory consolidation

  2016cites this paper
• Development of a new computational model for mapping, learning and mining of 3D spatio-temporal fMRI data

  2015cites this paper
• Single pairing spike-timing dependent plasticity in BiFeO3 memristors with a time window of 25 ms to 125 μs

  2015cites this paper
• Real time unsupervised learning of visual stimuli in neuromorphic VLSI systems

  2015cites this paper
• Tunnel junction based memristors as artificial synapses

  2015cites this paper
• Freestanding Artificial Synapses Based on Laterally Proton‐Coupled Transistors on Chitosan Membranes

  2015cites this paper
• Evolving Spiking Neural Networks for Spatio- and Spectro- Temporal Data Analysis: Models, Implementations, Applications

  2015influential citation
• Implementation of a spike-based perceptron learning rule using TiO2−x memristors

  2015cites this paper
• An Electronic Synapse Device Based on Solid Electrolyte Resistive Random Access Memory

  2015cites this paper
• Memory formation and recall in recurrent spiking neural networks

  2014influential citation
• Temporal Dynamics in Neuromorphic Systems

  2014cites this paper
• Learning in Neuromorphic Systems

  2014cites this paper
• Enabling an Integrated Rate-temporal Learning Scheme on Memristor

  2014cites this paper
• Switched-capacitor realization of presynaptic short-term-plasticity and stop-learning synapses in 28 nm CMOS

  2014cites this paper
• The formation of multi-synaptic connections by the interaction of synaptic and structural plasticity and their functional consequences

  2014cites this paper