JCNS 2010 - PDF Preprint Papers

JCNS 2010

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JCNS
2010

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Experimental validation of the influence of white matter anisotropy on the intracranial EEG forward solution

13 years 7 months ago

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Abstract Forward solutions with different levels of complexity are employed for localization of current generators, which are responsible for the electric and magnetic fields measu...

Nitin B. Bangera, Donald L. Schomer, Nima Dehghani...

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Id	Views	Title	Status

1	138	Experimental validation of the influence of white matter anisotropy on the intracranial EEG forward solution	claim
2	126	Calibration of the head direction network: a role for symmetric angular head velocity cells	claim
3	122	Intrinsic dendritic filtering gives low-pass power spectra of local field potentials	claim
4	121	Pattern orthogonalization via channel decorrelation by adaptive networks	claim
5	119	Disentanglement of local field potential sources by independent component analysis	claim
6	104	A new look at state-space models for neural data	claim
7	103	Efficient computation of the maximum a posteriori path and parameter estimation in integrate-and-fire and more general state-space models	claim
8	100	Morphologically accurate reduced order modeling of spiking neurons	claim
9	100	Methods for predicting cortical UP and DOWN states from the phase of deep layer local field potentials	claim
10	96	Rapid determination of particle velocity from space-time images using the Radon transform	claim
11	94	Causal relationships between frequency bands of extracellular signals in visual cortex revealed by an information theoretic analysis	claim
12	90	Fast Kalman filtering on quasilinear dendritic trees	claim
13	88	LFP spectral peaks in V1 cortex: network resonance and cortico-cortical feedback	claim
14	86	Reduced models for binocular rivalry	claim
15	85	Causal pattern recovery from neural spike train data using the Snap Shot Score	claim
16	84	Motion processing with wide-field neurons in the retino-tecto-rotundal pathway	claim
17	81	Functional consequences of correlated excitatory and inhibitory conductances in cortical networks	claim
18	81	Sensory information in local field potentials and spikes from visual and auditory cortices: time scales and frequency bands	claim
19	80	Synchrony with shunting inhibition in a feedforward inhibitory network	claim
20	73	Dynamics of coupled thalamocortical modules	claim
21	73	Local field potentials indicate network state and account for neuronal response variability	claim
22	72	CuBIC: cumulant based inference of higher-order correlations in massively parallel spike trains	claim
23	70	A biologically plausible model of time-scale invariant interval timing	claim
24	69	A dynamical point process model of auditory nerve spiking in response to complex sounds	claim
25	64	The response of a classical Hodgkin-Huxley neuron to an inhibitory input pulse	claim
26	63	Pseudo-Lyapunov exponents and predictability of Hodgkin-Huxley neuronal network dynamics	claim
27	61	Models of cortical networks with long-range patchy projections	claim
28	61	Mixed mode oscillations as a mechanism for pseudo-plateau bursting	claim
29	61	Principal component analysis of ensemble recordings reveals cell assemblies at high temporal resolution	claim
30	56	Spectrum of Lyapunov exponents of non-smooth dynamical systems of integrate-and-fire type	claim
31	54	Kernel bandwidth optimization in spike rate estimation	claim
32	53	Geometry and dynamics of activity-dependent homeostatic regulation in neurons	claim
33	52	A model of direction selectivity in the starburst amacrine cell network	claim
34	51	Encoding and decoding amplitude-modulated cochlear implant stimuli - a point process analysis	claim
35	47	Noise-induced transitions in slow wave neuronal dynamics	claim
36	46	Multiplicatively interacting point processes and applications to neural modeling	claim
37	44	Feature extraction from spike trains with Bayesian binning: 'Latency is where the signal starts'	claim
38	43	Spatially structured oscillations in a two-dimensional excitatory neuronal network with synaptic depression	claim

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