Cargando…

Random wiring limits the development of functional structure in large recurrent neuronal networks

Detalles Bibliográficos
Autores principales:	Kunkel, Susanne, Diesmann, Markus, Morrison, Abigail
Formato:	Texto
Lenguaje:	English
Publicado:	BioMed Central 2010
Materias:	Poster Presentation
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3090808/ http://dx.doi.org/10.1186/1471-2202-11-S1-P108

Ejemplares similares

Limits to the Development of Feed-Forward Structures in Large Recurrent Neuronal Networks
por: Kunkel, Susanne, et al.
Publicado: (2011)

Fail-safe detection of threshold crossings of linear integrate-and-fire neuron models in time-driven simulations
por: Kunkel, Susanne, et al.
Publicado: (2011)

From laptops to supercomputers: a single highly scalable code base for spiking neuronal network simulations
por: Kunkel, Susanne, et al.
Publicado: (2013)

Effect of Alzheimer's disease on the dynamical and computational characteristics of recurrent neural networks
por: Bachmann, Claudia, et al.
Publicado: (2013)

Recurrence and external sources differentially shape network correlations
por: Helias, Moritz, et al.
Publicado: (2013)

Towards a unified theory of correlations in recurrent neural networks
por: Helias, Moritz, et al.
Publicado: (2011)

A reafferent model of song syntax generation in the Bengalese finch
por: Hanuschkin, Alexander, et al.
Publicado: (2010)

Taming the model zoo: a unified view on correlations in recurrent networks
por: Grytskyy, Dmytro, et al.
Publicado: (2012)

Neurons hear their echo
por: Helias, Moritz, et al.
Publicado: (2010)

How pattern formation in ring networks of excitatory and inhibitory spiking neurons depends on the input current regime
por: Kriener, Birgit, et al.
Publicado: (2013)

Hybrid scheme for modeling local field potentials from point-neuron networks
por: Hagen, Espen, et al.
Publicado: (2015)

Correlation transmission of spiking neurons is boosted by synchronous input
por: Schultze-Kraft, Matthias, et al.
Publicado: (2011)

Efficient Communication in Distributed Simulations of Spiking Neuronal Networks With Gap Junctions
por: Jordan, Jakob, et al.
Publicado: (2020)

Limits to the scalability of cortical network models
por: van Albada, Sacha J, et al.
Publicado: (2015)

Robustness vs. flexibility: how do external inputs shape the activity in a data-based layered cortical network model?
por: Potjans, Tobias C, et al.
Publicado: (2011)

High storage capacity of synfire chains in large-scale cortical networks of conductance-based spiking neurons
por: Trengove, Chris, et al.
Publicado: (2010)

Meeting the Memory Challenges of Brain-Scale Network Simulation
por: Kunkel, Susanne, et al.
Publicado: (2012)

Identifying and exploiting the anatomical origin of population rate oscillations in multi-layered spiking networks
por: Bos, Hannah, et al.
Publicado: (2015)

The Correlation Structure of Local Neuronal Networks Intrinsically Results from Recurrent Dynamics
por: Helias, Moritz, et al.
Publicado: (2014)

A General and Efficient Method for Incorporating Precise Spike Times in Globally Time-Driven Simulations
por: Hanuschkin, Alexander, et al.
Publicado: (2010)

Integrating multi-scale data for a network model of macaque visual cortex
por: Schmidt, Maximilian, et al.
Publicado: (2013)

Macaque structural connectivity revisited: CoCoMac 2.0
por: Bakker, Rembrandt, et al.
Publicado: (2011)

Simulating structural plasticity of large scale networks in NEST
por: Naveau, Mikael, et al.
Publicado: (2014)

Parallelizing large networks using NEURON-Python
por: Seidenstein, Alexandra H, et al.
Publicado: (2015)

Homeostatic structural plasticity – a key to neuronal network formation and repair
por: Butz, Markus, et al.
Publicado: (2014)

Memory capacity of a random, recurrently connected network of neurons with multiple, biologically realistic facilitation and adaptation profiles
por: DePasquale, Brian D, et al.
Publicado: (2011)

The emergence of cohorts of co-active neurons in random recurrent networks provides a mechanism for orientation and direction selectivity
por: Tsigankov, Dmitry, et al.
Publicado: (2014)

The influence of network structure on neuronal network dynamics
por: Nykamp, Duane Q
Publicado: (2012)

Just-in-time connectivity for very large neuronal networks
por: Lytton, William W, et al.
Publicado: (2007)

The influence of network structure on neuronal dynamics
por: Campbell, Patrick, et al.
Publicado: (2013)

STDP encodes oscillation frequencies in the connections of recurrent networks of spiking neurons
por: Kerr, Robert R, et al.
Publicado: (2012)

Inferring effective dynamics in large-scale networks of cortical neurons
por: Haroush, Netta, et al.
Publicado: (2013)

Simulating large and heterogeneous networks of spiking neurons with SpiNet
por: Aguiar, Paulo, et al.
Publicado: (2007)

A unified framework for spiking and gap-junction interactions in distributed neuronal network simulations
por: Hahne, Jan, et al.
Publicado: (2015)

The impact of structural embeddedness of neurons on network dynamics
por: Vlachos, Ioannis, et al.
Publicado: (2011)

The transfer function of the LIF model: from white to filtered noise
por: Schuecker, Jannis, et al.
Publicado: (2014)

Functional consequences of non-equilibrium dynamics caused by antisymmetric and symmetric learning rules
por: Grytskyy, Dmytro, et al.
Publicado: (2015)

Deterministic neural networks as sources of uncorrelated noise for probabilistic computations
por: Jordan, Jakob, et al.
Publicado: (2015)

Dynamics of large-scale neuronal networks of the human cortex functional connectivity
por: Vuksanović, Vesna, et al.
Publicado: (2012)

A Fokker-Planck neuronal network model to capture mean firing rate and pair-wise correlations in large-scale neuronal networks
por: Liu, Chin-Yueh, et al.
Publicado: (2010)

Cannot write session to /tmp/vufind_sessions/sess_76nq25ml5majqkfeelgltcp2fc