Skip to Main Content

Advertisement

MIT Press Direct, home
header search
Search
Advanced Search
Skip Nav Destination

Spike-Driven Synaptic Dynamics Generating Working Memory States

Neural Computation (2003) 15 (3): 565–596.
This article has been cited by the following articles in journals that are participating in Crossref Cited-by Linking.
Co-existence of synaptic plasticity and metastable dynamics in a spiking model of cortical circuits
  • Xiaoyu Yang
  • Giancarlo La Camera
  • Hugues Berry
PLOS Computational Biology (2024) 20 (7): e1012220.
Fast Hebbian plasticity and working memory
  • Anders Lansner
  • Florian Fiebig
  • Pawel Herman
Current Opinion in Neurobiology (2023) 83: 102809.
Embodied working memory during ongoing input streams
  • Nareg Berberian
  • Matt Ross
  • Sylvain Chartier
  • William W Lytton
PLOS ONE (2021) 16 (1): e0244822.
Stimulus-induced sequential activity in supervisely trained recurrent networks of firing rate neurons
  • Oleg V. Maslennikov
  • Vladimir I. Nekorkin
Nonlinear Dynamics (2020) 101 (2): 1093.
A Mathematical Analysis of Memory Lifetime in a Simple Network Model of Memory
  • Pascal Helson
Neural Computation (2020) 32 (7): 1322.
Pattern Storage, Bifurcations, and Groupwise Correlation Structure of an Exactly Solvable Asymmetric Neural Network Model
  • Diego Fasoli
  • Anna Cattani
  • Stefano Panzeri
Neural Computation (2018) 30 (5): 1258.
Neural Classifiers with Limited Connectivity and Recurrent Readouts
  • Lyudmila Kushnir
  • Stefano Fusi
The Journal of Neuroscience (2018) 38 (46): 9900.
Spontaneous emergence of fast attractor dynamics in a model of developing primary visual cortex
  • Thomas Miconi
  • Jeffrey L. McKinstry
  • Gerald M. Edelman
Nature Communications (2016) 7 (1)
Ultracompact Graphene Multigate Variable Resistor for Neuromorphic Computing
  • Mohamed Darwish
  • Vehbi Calayir
  • Lawrence Pileggi
  • Jeffrey A. Weldon
IEEE Transactions on Nanotechnology (2016) 15 (2): 318.
Memories as bifurcations: Realization by collective dynamics of spiking neurons under stochastic inputs
  • Tomoki Kurikawa
  • Kunihiko Kaneko
Neural Networks (2015) 62: 25.
Dynamics of Multistable States during Ongoing and Evoked Cortical Activity
  • Luca Mazzucato
  • Alfredo Fontanini
  • Giancarlo La Camera
The Journal of Neuroscience (2015) 35 (21): 8214.
Modeling Neuromorphic Persistent Firing Networks
  • Ning Ning
  • Guoqi Li
  • Wei He
  • Kejie Huang
  • Li Pan
  • Kiruthika Ramanathan
  • Rong Zhao
  • Luping Shi
International Journal of Intelligence Science (2015) 05 (02): 89.
Memory Dynamics in Attractor Networks
  • Guoqi Li
  • Kiruthika Ramanathan
  • Ning Ning
  • Luping Shi
  • Changyun Wen
Computational Intelligence and Neuroscience (2015) 2015: 1.
The log-dynamic brain: how skewed distributions affect network operations
  • György Buzsáki
  • Kenji Mizuseki
Nature Reviews Neuroscience (2014) 15 (4): 264.
Embedding Responses in Spontaneous Neural Activity Shaped through Sequential Learning
  • Tomoki Kurikawa
  • Kunihiko Kaneko
  • Tim Behrens
PLoS Computational Biology (2013) 9 (3): e1002943.
Efficient Partitioning of Memory Systems and Its Importance for Memory Consolidation
  • Alex Roxin
  • Stefano Fusi
  • Jeff Beck
PLoS Computational Biology (2013) 9 (7): e1003146.
Learning selective top-down control enhances performance in a visual categorization task
  • Mario Pannunzi
  • Guido Gigante
  • Maurizio Mattia
  • Gustavo Deco
  • Stefano Fusi
  • Paolo Del Giudice
Journal of Neurophysiology (2012) 108 (11): 3124.
On the Distribution of Firing Rates in Networks of Cortical Neurons
  • Alex Roxin
  • Nicolas Brunel
  • David Hansel
  • Gianluigi Mongillo
  • Carl van Vreeswijk
The Journal of Neuroscience (2011) 31 (45): 16217.
Representing information in cell assemblies: persistent activity mediated by semilunar granule cells
  • Phillip Larimer
  • Ben W Strowbridge
Nature Neuroscience (2010) 13 (2): 213.
Precise Capacity Analysis in Binary Networks with Multiple Coding Level Inputs
  • Yali Amit
  • Yibi Huang
Neural Computation (2010) 22 (3): 660.
Memory Dynamics in Attractor Networks with Saliency Weights
  • Huajin Tang
  • Haizhou Li
  • Rui Yan
Neural Computation (2010) 22 (7): 1899.
Reconciling the STDP and BCM Models of Synaptic Plasticity in a Spiking Recurrent Neural Network
  • Daniel Bush
  • Andrew Philippides
  • Phil Husbands
  • Michael O'Shea
Neural Computation (2010) 22 (8): 2059.
Classification of Correlated Patterns with a Configurable Analog VLSI Neural Network of Spiking Neurons and Self-Regulating Plastic Synapses
  • Massimilian Giulioni
  • Mario Pannunzi
  • Davide Badoni
  • Vittorio Dante
  • Paolo Del Giudice
Neural Computation (2009) 21 (11): 3106.
Are binary synapses superior to graded weight representations in stochastic attractor networks?
  • Jason Satel
  • Thomas Trappenberg
  • Alan Fine
Cognitive Neurodynamics (2009) 3 (3): 243.
Expression of Long-Term Plasticity at Individual Synapses in Hippocampus Is Graded, Bidirectional, and Mainly Presynaptic: Optical Quantal Analysis
  • Ryosuke Enoki
  • Yi-ling Hu
  • David Hamilton
  • Alan Fine
Neuron (2009) 62 (2): 242.
Dopaminergic neuromodulation of semantic priming in a cortical network model
  • Frédéric Lavigne
  • Nelly Darmon
Neuropsychologia (2008) 46 (13): 3074.
The response of cortical neurons to in vivo-like input current: theory and experiment
  • Giancarlo La Camera
  • Michele Giugliano
  • Walter Senn
  • Stefano Fusi
Biological Cybernetics (2008) 99 (4-5): 279.
Optimizing One-Shot Learning with Binary Synapses
  • Sandro Romani
  • Daniel J. Amit
  • Yali Amit
Neural Computation (2008) 20 (8): 1928.
The nature of the memory trace and its neurocomputational implications
  • P. H. de Vries
  • K. R. van Slochteren
Journal of Computational Neuroscience (2008) 25 (1): 188.
Universal Memory Mechanism for Familiarity Recognition and Identification
  • Volodya Yakovlev
  • Daniel J. Amit
  • Sandro Romani
  • Shaul Hochstein
The Journal of Neuroscience (2008) 28 (1): 239.
Learning Real-World Stimuli in a Neural Network with Spike-Driven Synaptic Dynamics
  • Joseph M. Brader
  • Walter Senn
  • Stefano Fusi
Neural Computation (2007) 19 (11): 2881.
The Road to Chaos by Time-Asymmetric Hebbian Learning in Recurrent Neural Networks
  • Colin Molter
  • Utku Salihoglu
  • Hugues Bersini
Neural Computation (2007) 19 (1): 80.
Creating hierarchical categories using cell assemblies
  • Christian R. Huyck
Connection Science (2007) 19 (1): 1.
Mean-field analysis of selective persistent activity in presence of short-term synaptic depression
  • Sandro Romani
  • Daniel J. Amit
  • Gianluigi Mongillo
Journal of Computational Neuroscience (2006) 20 (2): 201.
A review of the integrate-and-fire neuron model: II. Inhomogeneous synaptic input and network properties
  • A. N. Burkitt
Biological Cybernetics (2006) 95 (2): 97.
Computational and in vitro studies of persistent activity: Edging towards cellular and synaptic mechanisms of working memory
  • Albert Compte
Neuroscience (2006) 139 (1): 135.
Learning Only When Necessary: Better Memories of Correlated Patterns in Networks with Bounded Synapses
  • Walter Senn
  • Stefano Fusi
Neural Computation (2005) 17 (10): 2106.
Learning in realistic networks of spiking neurons and spike‐driven plastic synapses
  • Gianluigi Mongillo
  • Emanuele Curti
  • Sandro Romani
  • Daniel J. Amit
European Journal of Neuroscience (2005) 21 (11): 3143.
Convergence of stochastic learning in perceptrons with binary synapses
  • Walter Senn
  • Stefano Fusi
Physical Review E (2005) 71 (6)
Spike-Timing-Dependent Plasticity: The Relationship to Rate-Based Learning for Models with Weight Dynamics Determined by a Stable Fixed Point
  • Anthony N. Burkitt
  • Hamish Meffin
  • David. B. Grayden
Neural Computation (2004) 16 (5): 885.
Improvement of signal transmission through spike-timing-dependent plasticity in neural networks
  • S. Wang
  • J. Xu
  • F. Liu
  • W. Wang
The European Physical Journal B (2004) 39 (3): 351.
Mean Field and Capacity in Realistic Networks of Spiking Neurons Storing Sparsely Coded Random Memories
  • Emanuele Curti
  • Gianluigi Mongillo
  • Giancarlo La Camera
  • Daniel J. Amit
Neural Computation (2004) 16 (12): 2597.
Spike-driven Synaptic Plasticity for Learning Correlated Patterns of Mean Firing Rates
  • S. Fusi
Reviews in the Neurosciences (2003) 14 (1-2)
Retrospective and prospective persistent activity induced by Hebbian learning in a recurrent cortical network
  • Gianluigi Mongillo
  • Daniel J. Amit
  • Nicolas Brunel
European Journal of Neuroscience (2003) 18 (7): 2011.
Modelling the formation of working memory with networks of integrate-and-fire neurons connected by plastic synapses
  • Paolo Del Giudice
  • Stefano Fusi
  • Maurizio Mattia
Journal of Physiology-Paris (2003) 97 (4-6): 659.

Advertisement

  • Online ISSN 1530-888X
  • Print ISSN 0899-7667
A product of The MIT Press
Newsletter sign up

MIT Press Direct

Information

MIT Press

Contact Us

© 2023 The MIT Press
Close Modal
This Feature Is Available To Subscribers Only

or Create an Account

Close Modal
Close Modal
This site uses cookies. By continuing to use our website, you are agreeing to our privacy policy. No content on this site may be used to train artificial intelligence systems without permission in writing from the MIT Press.
Accept