Cargando…

Neural network reconstruction using kinetic Ising models with memory

Detalles Bibliográficos
Autores principales:	Witoelar, Aree, Roudi, Yasser
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	BioMed Central 2011
Materias:	Poster Presentation
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3240383/ http://dx.doi.org/10.1186/1471-2202-12-S1-P274

Ejemplares similares

Inferring network connectivity using kinetic Ising models
por: Hertz, John A, et al.
Publicado: (2010)

Information transfer of an Ising model on a brain network
por: Marinazzo, D, et al.
Publicado: (2013)

Inferred Ising model unveils potentiation of pairwise neural interactions and replay of rule-learning related neural activity
por: Ferrari, Ulisse, et al.
Publicado: (2013)

Network inference from non-stationary spike trains
por: Tyrcha, Joanna, et al.
Publicado: (2011)

Homeostasis in large networks of neurons through the Ising model - do higher order interactions matter?
por: Panas, Dagmara, 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)

Towards "biophysical psychiatry": a modeling approach for studying effects of schizophrenia-linked genes on single-neuron excitability
por: Mäki-Marttunen, Tuomo, et al.
Publicado: (2015)

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

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

A Balanced Memory Network
por: Roudi, Yasser, et al.
Publicado: (2007)

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

A network model of a multi-item working memory task based on competitive reverberating neural activity
por: Haß, Joachim, et al.
Publicado: (2011)

EvaLuation of Interventions for informed Consent for randomIsed controlled Trials (ELICIT): developing a core outcome set
por: Gillies, Katie, et al.
Publicado: (2015)

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)

Extracting the dynamics of the Hodgkin-Huxley model using recurrent neural networks
por: Andoni, Sari, et al.
Publicado: (2007)

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

Likelihood-free Bayesian analysis of neural network models
por: Turner, Brandon M, et al.
Publicado: (2013)

A network model of neural activity in essential tremor
por: Yousif, Nada, et al.
Publicado: (2015)

The kinetic Ising model encapsulates essential dynamics of land pattern change
por: Stepinski, Tomasz F., et al.
Publicado: (2023)

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

A convolutional neural network model of the neural responses of inferotemporal cortex to complex visual objects
por: Rohit, Satish, et al.
Publicado: (2011)

Quantum Ising phases and transitions in transverse Ising models
por: Chakrabarti, Bikas K, et al.
Publicado: (1996)

Quantum Ising phases and transitions in transverse Ising models
por: Suzuki, Sei, et al.
Publicado: (2013)

Modeling phonotaxis in female Gryllus bimaculatus with artificial neural networks
por: Meckenhäuser, Gundula, et al.
Publicado: (2011)

Cross-modular processing in a spiking neural network model
por: Vieira, Diogo PC, et al.
Publicado: (2011)

Self-organized criticality in a model for developing neural networks
por: van den Akker, Benjamin, et al.
Publicado: (2011)

Spiking neural network model of cortical auditory source segregation
por: Krishnan, Lakshmi, et al.
Publicado: (2014)

A biologically based neural network model for decision making
por: Nazir, Azadeh Hassanejad, et al.
Publicado: (2015)

Modelling spatially realistic local field potentials in spiking neural networks using the VERTEX simulation tool
por: Tomsett, Richard J, et al.
Publicado: (2014)

The influence of structure on the response properties of biologically plausible neural network models
por: Tomm, Christian, et al.
Publicado: (2011)

Spiking neural network model of free-energy-based reinforcement learning
por: Nakano, Takashi, et al.
Publicado: (2011)

Spiking neural network model of reinforcement learning in the honeybee implemented on the GPU
por: Yavuz, Esin, et al.
Publicado: (2015)

Characterising the performance of balanced memory networks
por: Metaxas, Alex, et al.
Publicado: (2013)

Predicting the protein localization sites using artificial neural networks
por: Arulmozhi, V, et al.
Publicado: (2013)

Network reconstruction in the presence of unmeasured neurons
por: Nykamp, Duane Q
Publicado: (2007)

Neural representation of a spatial odor memory in the honeybee mushroom body
por: Nawrot, Martin P, et al.
Publicado: (2015)

Nonequilibrium Kinetic Ising Models: Phase Transition and Universality Classes in One Dimension
por: Menyhard, N, et al.
Publicado: (2000)

Modelling time-varying interactions in complex systems: the Score Driven Kinetic Ising Model
por: Campajola, Carlo, et al.
Publicado: (2022)

The effects of time delays on synchronization properties in a network of neural mass models
por: Ton, Robert, et al.
Publicado: (2013)

Cannot write session to /tmp/vufind_sessions/sess_rqmqumbr9g6d6b99echdgkgtrb