Cargando…

Memory-Efficient Synaptic Connectivity for Spike-Timing- Dependent Plasticity

Spike-Timing-Dependent Plasticity (STDP) is a bio-inspired local incremental weight update rule commonly used for online learning in spike-based neuromorphic systems. In STDP, the intensity of long-term potentiation and depression in synaptic efficacy (weight) between neurons is expressed as a funct...

Descripción completa

Detalles Bibliográficos
Autores principales:	Pedroni, Bruno U., Joshi, Siddharth, Deiss, Stephen R., Sheik, Sadique, Detorakis, Georgios, Paul, Somnath, Augustine, Charles, Neftci, Emre O., Cauwenberghs, Gert
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	Frontiers Media S.A. 2019
Materias:	Neuroscience
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6499189/ https://www.ncbi.nlm.nih.gov/pubmed/31110470 http://dx.doi.org/10.3389/fnins.2019.00357

Ejemplares similares

Neural and Synaptic Array Transceiver: A Brain-Inspired Computing Framework for Embedded Learning
por: Detorakis, Georgios, et al.
Publicado: (2018)

Event-driven contrastive divergence for spiking neuromorphic systems
por: Neftci, Emre, et al.
Publicado: (2014)

Stochastic Synapses Enable Efficient Brain-Inspired Learning Machines
por: Neftci, Emre O., et al.
Publicado: (2016)

A 22-pJ/spike 73-Mspikes/s 130k-compartment neural array transceiver with conductance-based synaptic and membrane dynamics
por: Park, Jongkil, et al.
Publicado: (2023)

Hardware-Efficient On-line Learning through Pipelined Truncated-Error Backpropagation in Binary-State Networks
por: Mostafa, Hesham, et al.
Publicado: (2017)

Event-Driven Random Back-Propagation: Enabling Neuromorphic Deep Learning Machines
por: Neftci, Emre O., et al.
Publicado: (2017)

Hierarchical Network Connectivity and Partitioning for Reconfigurable Large-Scale Neuromorphic Systems
por: Mysore, Nishant, et al.
Publicado: (2022)

Event-driven contrastive divergence: neural sampling foundations
por: Neftci, Emre, et al.
Publicado: (2015)

Editorial: Synaptic Plasticity for Neuromorphic Systems
por: Mayr, Christian G., et al.
Publicado: (2016)

PyNCS: a microkernel for high-level definition and configuration of neuromorphic electronic systems
por: Stefanini, Fabio, et al.
Publicado: (2014)

Synaptic Plasticity Dynamics for Deep Continuous Local Learning (DECOLLE)
por: Kaiser, Jacques, et al.
Publicado: (2020)

Neural sampling machine with stochastic synapse allows brain-like learning and inference
por: Dutta, Sourav, et al.
Publicado: (2022)

A compute-in-memory chip based on resistive random-access memory
por: Wan, Weier, et al.
Publicado: (2022)

Determinants of associative memory performance in spiking and non-spiking neural networks with different synaptic plasticity regimes
por: Metaxas, Alex, et al.
Publicado: (2012)

Optimizing the Energy Consumption of Spiking Neural Networks for Neuromorphic Applications
por: Sorbaro, Martino, et al.
Publicado: (2020)

EXODUS: Stable and efficient training of spiking neural networks
por: Bauer, Felix C., et al.
Publicado: (2023)

Diverse synaptic plasticity mechanisms orchestrated to form and retrieve memories in spiking neural networks
por: Zenke, Friedemann, et al.
Publicado: (2015)

The Influence of the Number of Spiking Neurons on Synaptic Plasticity
por: Uleru, George-Iulian, et al.
Publicado: (2023)

Calcineurin, Synaptic Plasticity, and Memory
por: Weitlauf, Carl, et al.
Publicado: (2001)

Adversarial attacks on spiking convolutional neural networks for event-based vision
por: Büchel, Julian, et al.
Publicado: (2022)

Synaptic Plasticity and Connectivity Requirements to Produce Stimulus-Pair Specific Responses in Recurrent Networks of Spiking Neurons
por: Bourjaily, Mark A., et al.
Publicado: (2011)

Phenomenological models of synaptic plasticity based on spike timing
por: Morrison, Abigail, et al.
Publicado: (2008)

Meta-SpikePropamine: learning to learn with synaptic plasticity in spiking neural networks
por: Schmidgall, Samuel, et al.
Publicado: (2023)

Plasticity Resembling Spike-Timing Dependent Synaptic Plasticity: The Evidence in Human Cortex
por: Müller-Dahlhaus, Florian, et al.
Publicado: (2010)

Editorial: Spiking Neural Network Learning, Benchmarking, Programming and Executing
por: Li, Guoqi, et al.
Publicado: (2020)

Precise-Spike-Driven Synaptic Plasticity: Learning Hetero-Association of Spatiotemporal Spike Patterns
por: Yu, Qiang, et al.
Publicado: (2013)

Synaptic Plasticity in vivo: More than Just Spike-Timing?
por: Schulz, Jan M.
Publicado: (2010)

Controlling Synchronization of Spiking Neuronal Networks by Harnessing Synaptic Plasticity
por: Schmalz, Joseph, et al.
Publicado: (2019)

Role of phosphodiesterase 5 in synaptic plasticity and memory
por: Puzzo, Daniela, et al.
Publicado: (2008)

Microglia regulation of synaptic plasticity and learning and memory
por: Cornell, Jessica, et al.
Publicado: (2021)

Identifying spike-timing dependent plasticity in spike train models of synaptically-coupled neuronal ensembles
por: El Dawlatly, Seif, et al.
Publicado: (2007)

Spike-shape dependence of the spike-timing dependent synaptic plasticity in ferroelectric-tunnel-junction synapses
por: Stoliar, P., et al.
Publicado: (2019)

Inferring Synaptic Connectivity from Spatio-Temporal Spike Patterns
por: Van Bussel, Frank, et al.
Publicado: (2011)

Spike-Triggered Regression for Synaptic Connectivity Reconstruction in Neuronal Networks
por: Zhang, Yaoyu, et al.
Publicado: (2017)

Basic roles of key molecules connected with NMDAR signaling pathway on regulating learning and memory and synaptic plasticity
por: Wang, Hui, et al.
Publicado: (2016)

The formation of multi-synaptic connections by the interaction of synaptic and structural plasticity and their functional consequences
por: Fauth, Michael, et al.
Publicado: (2014)

The Formation of Multi-synaptic Connections by the Interaction of Synaptic and Structural Plasticity and Their Functional Consequences
por: Fauth, Michael, et al.
Publicado: (2015)

Inhibitory synaptic plasticity: spike timing-dependence and putative network function
por: Vogels, T. P., et al.
Publicado: (2013)

Natural firing patterns reduce sensitivity of synaptic plasticity to spike-timing
por: Graupner, Michael, et al.
Publicado: (2013)

Estimating short-term synaptic plasticity from pre- and postsynaptic spiking
por: Ghanbari, Abed, et al.
Publicado: (2017)

Cannot write session to /tmp/vufind_sessions/sess_icquksskahl1ei061vd0qcm5ne