Cargando…

General conditions for spiking neurons and plasticity rules to perform independent component analysis

Detalles Bibliográficos
Autores principales:	Brito, Carlos SN, Gerstner, Wulfram
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	BioMed Central 2011
Materias:	Poster Presentation
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3240217/ http://dx.doi.org/10.1186/1471-2202-12-S1-P124

Ejemplares similares

Bridging spiking neuron models and mesoscopic population models - a general theory for neural population dynamics
por: Schwalger, Tilo, et al.
Publicado: (2015)

From Hebb Rules to Spike-Timing-Dependent Plasticity: A Personal Account
por: Gerstner, Wulfram
Publicado: (2010)

Neuromodulated Spike-Timing-Dependent Plasticity, and Theory of Three-Factor Learning Rules
por: Frémaux, Nicolas, et al.
Publicado: (2016)

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

Modulation of a decision-making process by spatiotemporal spike patterns decoding: evidence from spike-train metrics analysis and spiking neural network modeling
por: Logiaco, Laureline, et al.
Publicado: (2013)

The role of interconnected hub neurons in cortical dynamics
por: Setareh, Hesam, et al.
Publicado: (2014)

Plasticity and stability in recurrent neural networks
por: Zenke, Friedemann, et al.
Publicado: (2011)

Policy gradient rules for populations of spiking neurons
por: Friedrich, Johannes, et al.
Publicado: (2011)

Direct reinforcement learning, spike time dependent plasticity and the BCM rule
por: Barash, Dorit, et al.
Publicado: (2007)

The Convallis learning rule for unsupervised learning in spiking neuronal networks
por: Yger, Pierre, et al.
Publicado: (2013)

A History of Spike-Timing-Dependent Plasticity
por: Markram, Henry, et al.
Publicado: (2011)

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

A model of perceptual discrimination under sequential sensory evidence
por: Hugues, Etienne, et al.
Publicado: (2013)

Synaptic tagging and capture: a bridge from molecular to behaviour
por: Ziegler, Lorric, et al.
Publicado: (2011)

Efficient modeling of neural activity using coupled renewal processes
por: Gerhard, Felipe, et al.
Publicado: (2011)

Predicting neuronal activity with an adaptive exponential integrate-and-fire model
por: Marcille, Nicolas, et al.
Publicado: (2007)

Automatic characterization of three cortical neuron types reveals two distinct adaptation mechanisms
por: Mensi, Skander, et al.
Publicado: (2011)

A hierarchy of time scales supports unsupervised learning of behavioral sequences
por: Muscinelli, Samuel P, et al.
Publicado: (2015)

Spike-timing prediction in cortical neurons with active dendrites
por: Naud, Richard, et al.
Publicado: (2014)

Multicontact Co-operativity in Spike-Timing–Dependent Structural Plasticity Stabilizes Networks
por: Deger, Moritz, et al.
Publicado: (2018)

Mesoscopic population equations for spiking neural networks with synaptic short-term plasticity
por: Schmutz, Valentin, et al.
Publicado: (2020)

Fast and richly structured activity in cortical networks with local inhibition
por: Hennequin, Guillaume, et al.
Publicado: (2011)

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

Neuromodulation by surprise: a biologically plausible model of the learning rate dynamics
por: Faraji, Mohammad Javad, et al.
Publicado: (2014)

Surprise minimization as a learning strategy in neural networks
por: Faraji, Mohammad Javad, et al.
Publicado: (2015)

Limits to high-speed simulations of spiking neural networks using general-purpose computers
por: Zenke, Friedemann, et al.
Publicado: (2014)

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

Scalar timing law for interval timing in a plastic network of spiking neurons
por: Gvornik, Jeff, et al.
Publicado: (2010)

Coincident excitatory and inhibitory spike-timing dependent plasticity potentiates pyramidal neurons
por: Saraga, Fernanda, 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)

Reinforcement Learning Using a Continuous Time Actor-Critic Framework with Spiking Neurons
por: Frémaux, Nicolas, et al.
Publicado: (2013)

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

Towards a theory of cortical columns: From spiking neurons to interacting neural populations of finite size
por: Schwalger, Tilo, et al.
Publicado: (2017)

Eligibility Traces and Plasticity on Behavioral Time Scales: Experimental Support of NeoHebbian Three-Factor Learning Rules
por: Gerstner, Wulfram, et al.
Publicado: (2018)

Modeling the interplay between structural plasticity and spike-timing-dependent plasticity
por: George, Richard M, et al.
Publicado: (2015)

First spike latency sensitivity of spiking neuron models
por: Trotta, Laura, et al.
Publicado: (2013)

Model for the induction of spike timing-dependent plasticity by pre- and postsynaptic spike trains
por: Carlson, Kristofor D, et al.
Publicado: (2010)

Inference of neuronal network spike dynamics and topology from calcium imaging data
por: Lütcke, Henry, et al.
Publicado: (2013)

Local unsupervised learning rules for a spiking neural network with dendrite
por: Manette, Olivier FL
Publicado: (2011)

Spatial filter by spike timing dependent plasticity
por: Fujita, Kazuhisa
Publicado: (2010)

Cannot write session to /tmp/vufind_sessions/sess_djc6n0o8la91p9n042d0mlsad0