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Government Site Builder (Link to homepage) relation between structure and dynamics of neuronal networks response properties of single neurons in experiments and theory; mean-field dynamics Correlations in cortical networks · Emulation of dynamical systems by recurrent neural networks · Population-rate models.
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First, we isolate the contributions of nonlinearities in single-neuron dynamics to network activity and coding as a whole. For integrate-and-fire neuron models receiving Poisson Josić K, Shea-Brown E. Motif statistics and spike correlations in neuronal networks. Journal of Statistical Mechanics: Theory and Experiment. ;(03 Cited by: 8.
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Interpretation of Experimental Results As Cortical Phase Transitions. Brain activity can be interpreted in terms of dynamic system theory Freeman, Sci Am, At the microscopic level, the nodes represent neurons and links represent . Forward and Backward Modeling: From Single Cells to Neural Population and Back.
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Ensemble models attempt to model the dynamics of large (theoretically infinite) populations of neurons. Any single neuron could have a number of attributes; for example, post-synaptic membrane depolarization, V, capacitive current, I, or the time since the last action potential, by:
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Get this from a library! Single neuron dynamics: models linking theory and experiment. [Jan Benda;].
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Zitierfähiger Link (URL): ?gs-1/ Convergent evidence from experimental and theoretical studies indicates that circuit dynamics on the features of single neuron action potential generation.
Dynamical models of cortical circuits.
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Our theory establishes a general framework for modeling finite-size neural population dynamics based on single cell and synapse parameters and offers an efficient approach to .
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Single neuron dynamics and computation that may not be captured with standard single neuron H-H models. The dynamics of the spike output is dependent on the normal background synaptic noise.
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Conducted experimental and theoretical research contributing to our to our understand of neuronal dynamics at the single-neuron and network level: analysis of spike-triggered averages for generalized integrate-and-fire models receiving.
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For further organizational details, see the link above. Biophysical models of single cells are constructed using electrical circuits composed of The Hodgkin- Huxley (H-H) theory of the action potential, formulated 60 years ago, ranks candidates for large-scale models with realistic neural dynamics and firing patterns.
DepositOnce: Network dynamics of adaptive spiking neurons: model reduction and numerical analysis
Single neuron dynamics: models linking theory and experiment. [Jan Benda] Home. WorldCat Home About WorldCat Help. Search. Search for Library Items Search for Lists Search for Contacts Search for a Library. Create lists, bibliographies and reviews: or Search WorldCat. Find items in libraries near you.
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Motivated by a need for more hardware accessible networks, we replicate four published models of the basal ganglia, spanning single neuron and small networks, replacing the more computationally expensive neuron models with an Izhikevich hybrid by: