Attention, short-term memory, and action selection: A.

theoretical framework incorporates spiking and synaptic dynamics which enable single neuron responses, fMRI activations, psychophysical results, the effects of pharmacological agents, and the effects of damage to parts of the system to be explicitly simulated and predicted.
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Attention, short-term memory, and action selection: A.

Re: Single neuron dynamics models linking theory and experiments

Neuronal Dynamics - a neuroscience textbook by Wulfram. Neuronal Dynamics From single neurons to networks and models of cognition Wulfram Gerstner, Werner M. Kistler, Richard Naud and Liam Paninski. What happens in our brain when we make a decision?

Attention, short-term memory, and action selection: A.

Re: Single neuron dynamics models linking theory and experiments

Single Neuron Dynamics — Models Linking Theory and. @MISC{Dr_singleneuron, author = {Prof Dr and Jürgen Mlynek and Dekan Mathematisch-naturwissenschaftlichen and Fakultät I and Prof Dr and Bernhard Ronacher}, title = {Single Neuron Dynamics — Models Linking Theory and Experiment Jan BendaSingle Neuron Dynamics — Models Linking Theory and

Attention, short-term memory, and action selection: A.

Re: Single neuron dynamics models linking theory and experiments

Theoretical Neurophysics — Department of Nonlinear. Virtually all single neuron computations critically depend on the dynamical interaction of a multitude of subcellular components such as ion channels and other interacting biological nano-structures. It is due to this ubiquity of collective behaviors that neuroscience provides a rich source of attractive research questions for the theoretical physics of complex systems.

Attention, short-term memory, and action selection: A.

Re: Single neuron dynamics models linking theory and experiments

Linking Connectivity, Dynamics, and Computations in Low. The DMF theory relies on the hypothesis that a disordered component in the coupling structure, here represented by , efficiently decorrelates single neuron activity when the network is sufficiently large. We will show that this hypothesis of decorrelated activity is self-consistent for the specific network architecture we study.

Attention, short-term memory, and action selection: A.

Re: Single neuron dynamics models linking theory and experiments

Towards a theory of cortical columns: From spiking neurons. detailed neuron models [11,14,19{22], the dynamics of neural mass models in response to a rapid change in the input does not correctly reproduce a microscopic simulation of a population of neurons [14,22,23].

Attention, short-term memory, and action selection: A.

Re: Single neuron dynamics models linking theory and experiments

Dynamics of Orientation Selectivity in the Primary Visual. To test theories of orientation selectivity in primary visual cortex (V1), we have done experiments to measure the dynamics of orientation tuning of single neurons in the V1 cortex of macaque monkeys.

Attention, short-term memory, and action selection: A.

Re: Single neuron dynamics models linking theory and experiments

Neuronal Dynamics by Wulfram Gerstner - Cambridge Core On the stability and dynamics of stochastic spiking neuron models: Nonlinear Hawkes process and point process GLMs. PLOS Computational Biology, Vol. 13, Issue. , p. e1005390.

Attention, short-term memory, and action selection: A.

Re: Single neuron dynamics models linking theory and experiments

Single neuron dynamics - Single neuron dynamics. models linking theory and experiment. Benda, Jan . Mathematisch-Naturwissenschaftliche Fakultät I. Das Neuron ist das zentrale Element in der Informationsverarbeitung im Nervensystem. In dieser Arbeit werden verschiedene Aspekte der Spikegenerierung sowohl theoretisch als auch experimentell untersucht. Phasen-Rotatoren verschiedener Komplexität werden zur Vorhersage.

Attention, short-term memory, and action selection: A.

Re: Single neuron dynamics models linking theory and experiments

Table of contents Neuronal Dynamics online book online book From single neurons to networks and models of cognition Wulfram Gerstner, Werner M. Kistler, Richard Naud and Liam Paninski