Cargando…

A network model of a multi-item working memory task based on competitive reverberating neural activity

Detalles Bibliográficos
Autores principales:	Haß, Joachim, Durstewitz, Daniel
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	BioMed Central 2011
Materias:	Poster Presentation
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3240554/ http://dx.doi.org/10.1186/1471-2202-12-S1-P83

Ejemplares similares

Attracting states in frontal cortex networks associated with working memory and decision making
por: Balaguer-Ballester, Emili, et al.
Publicado: (2011)

An analytical approximation to the AdEx neuron model allows fast fitting to physiological data
por: Hertäg, Loreen, et al.
Publicado: (2011)

The neurodynamical basis of multi-item working memory capacity: sequential vs simultaneous stimulation paradigms
por: Balagué, Marta, et al.
Publicado: (2015)

A computational model of prefrontal cortex based on physiologically derived cellular parameter distributions
por: Hass, Joachim, et al.
Publicado: (2013)

A biophysical neural network model for visual working memory that accounts for memory binding errors
por: Barbosa, João, et al.
Publicado: (2015)

A computational and behavioral study of the precision of visuo-spatial working-memory for several items
por: Almeida, Rita, et al.
Publicado: (2011)

Competition between items in working memory leads to forgetting
por: Lewis-Peacock, Jarrod A., et al.
Publicado: (2014)

Evaluation of Mixed Deep Neural Networks for Reverberant Speech Enhancement
por: Gutiérrez-Muñoz, Michelle, et al.
Publicado: (2019)

Hebbian Reverberations in Emotional Memory Micro Circuits
por: Johnson, Luke R., et al.
Publicado: (2009)

Memory association dynamics on neural network with dynamic synapses
por: Katori, Yuichi
Publicado: (2014)

Neural network reconstruction using kinetic Ising models with memory
por: Witoelar, Aree, et al.
Publicado: (2011)

Operating in a Reverberating Regime Enables Rapid Tuning of Network States to Task Requirements
por: Wilting, Jens, et al.
Publicado: (2018)

Neural mechanisms of attending to items in working memory
por: Manohar, Sanjay G., et al.
Publicado: (2019)

A Detailed Data-Driven Network Model of Prefrontal Cortex Reproduces Key Features of In Vivo Activity
por: Hass, Joachim, et al.
Publicado: (2016)

Stabilizing working memory in spiking networks with biologically plausible synaptic dynamics
por: Seeholzer, Alexander, et al.
Publicado: (2014)

Hopfield neural network model for explaining double dissociation in semantic memory impairment
por: Asakawa, Shin-ichi, et al.
Publicado: (2013)

Dissociating the Neural Correlates of Intra-Item and Inter-Item Working-Memory Binding
por: Piekema, Carinne, et al.
Publicado: (2010)

Spatiotemporal and spectral dynamics of multi‐item working memory as revealed by the n‐back task using MEG
por: Costers, Lars, et al.
Publicado: (2020)

Astrocytic theory of working memory
por: De Pittà, Maurizio, et al.
Publicado: (2014)

No evidence for binding of items to task-irrelevant backgrounds in visual working memory
por: Udale, Rob, et al.
Publicado: (2017)

Interference between items stored for distinct tasks in visual working memory
por: Czoschke, Stefan, et al.
Publicado: (2023)

Electromagnetic reverberation chambers
por: Besnier, Philippe, et al.
Publicado: (2013)

Metasurfaced Reverberation Chamber
por: Sun, Hengyi, et al.
Publicado: (2018)

A systematic exploration of model-mechanisms for interactions between item- and association-memory in paired-associate learning
por: Madan, Christopher R, et al.
Publicado: (2010)

Sequence structure organizes items in varied latent states of working memory neural network
por: Huang, Qiaoli, et al.
Publicado: (2021)

Novel local learning rule for neural adaptation fits Hopfield memory networks efficiently and optimally
por: Hillar, Chris, et al.
Publicado: (2013)

Structural plasticity and associative memory in balanced neural networks with spike-time dependent inhibitory plasticity
por: Sinha, Ankur, et al.
Publicado: (2015)

Evolving small spiking neural networks to work as state machines for temporal pattern recognition
por: Wróbel, Borys, et al.
Publicado: (2015)

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

Dynamics of competition between coupled spiking networks in the balanced state
por: Lagzi, Fereshteh, et al.
Publicado: (2015)

Recruitment of a long-term memory supporting neural network during repeated maintenance of a multi-item abstract visual image in working memory
por: Heinen, Klaartje T. H., et al.
Publicado: (2022)

Towards a biological plausible model of the interaction of long-term memory and working memory
por: Nachstedt, Timo, et al.
Publicado: (2015)

Executive control processes underlying multi-item working memory
por: Lara, Antonio H., et al.
Publicado: (2014)

Cortical adaptation to sound reverberation
por: Ivanov, Aleksandar Z, et al.
Publicado: (2022)

Neuronal coding in the rodent prefrontal cortex
por: Kornienko, Olga, et al.
Publicado: (2013)

The Importance of Reverberation for the Design of Neonatal Incubators
por: Puyana-Romero, Virginia, et al.
Publicado: (2021)

Sculpting dynamical systems for models of neural computation and memory
por: Trischler, Adam P, et al.
Publicado: (2013)

Homeostatic intrinsic plasticity, neural heterogeneity and memory maintenance
por: Sweeney, Yann, et al.
Publicado: (2015)

Hippocampal population dynamics underlying memory trace activation in a tactile classification task
por: Akrami, Athena, et al.
Publicado: (2011)

A Fluctuation-Driven Mechanism for Slow Decision Processes in Reverberant Networks
por: Martí, Daniel, et al.
Publicado: (2008)

Cannot write session to /tmp/vufind_sessions/sess_fr8qkfliuld5d6giroc42pjp5k