منابع مشابه
STDP in Recurrent Neuronal Networks
Recent results about spike-timing-dependent plasticity (STDP) in recurrently connected neurons are reviewed, with a focus on the relationship between the weight dynamics and the emergence of network structure. In particular, the evolution of synaptic weights in the two cases of incoming connections for a single neuron and recurrent connections are compared and contrasted. A theoretical framewor...
متن کاملSTDP-driven networks and the C. elegans neuronal network
We study the dynamics of the structure of a formal neural network wherein the strengths of the synapses are governed by spike-timing-dependent plasticity (STDP). For properly chosen input signals, there exists a steady state with a residual network. We compare the motif profile of such a network with that of a real neural network of C. elegans and identify robust qualitative similarities. In pa...
متن کاملSTDP-driven networks and the \emph{C. elegans} neuronal network
Quansheng Ren, Kiran M. Kolwankar, 2 Areejit Samal, 3 and Jürgen Jost 4 Max Planck Institute for Mathematics in the Sciences, Inselstr. 22, D-04103 Leipzig, Germany Department of Physics, Ramniranjan Jhunjhunwala College, Ghatkopar (W), Mumbai 400 086, India Laboratoire de Physique Théorique et Modèles Statistiques, CNRS and Univ Paris-Sud, UMR 8626, F-91405 Orsay, France The Santa Fe Institute...
متن کاملCollective Stochastic Coherence in Recurrent Neuronal Networks
Belén Sancristóbal, ∗ Beatriz Rebollo, Pol Boada, Maria V. Sanchez-Vives, 3, † and Jordi Garcia-Ojalvo † Departament of Experimental and Health Sciences, Universitat Pompeu Fabra, Barcelona Biomedical Research Park, 08003 Barcelona, Spain Institut de Investigacions Biomèdiques August Pi i Sunyer, 08036 Barcelona, Spain Institució Catalana de Recerca i Estudis Avançats (ICREA), 08010 Barcelona, ...
متن کاملCharacterizing variability in nonlinear recurrent neuronal networks
In this note, we develop semi-analytical techniques to obtain the full correlational structure of a stochastic network of nonlinear neurons described by rate variables. Under the assumption that pairs of membrane potentials are jointly Gaussian – which they tend to be in large networks – we obtain deterministic equations for the temporal evolution of the mean firing rates and the noise covarian...
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ژورنال
عنوان ژورنال: Frontiers in Computational Neuroscience
سال: 2010
ISSN: 1662-5188
DOI: 10.3389/fncom.2010.00023