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Items: 1 to 20 of 135

1.

Causal relationships between frequency bands of extracellular signals in visual cortex revealed by an information theoretic analysis.

Besserve M, Schölkopf B, Logothetis NK, Panzeri S.

J Comput Neurosci. 2010 Dec;29(3):547-66. doi: 10.1007/s10827-010-0236-5.

2.

Cortical dynamics during naturalistic sensory stimulations: experiments and models.

Mazzoni A, Brunel N, Cavallari S, Logothetis NK, Panzeri S.

J Physiol Paris. 2011 Jan-Jun;105(1-3):2-15. doi: 10.1016/j.jphysparis.2011.07.014.

PMID:
21907800
4.

Sensory information in local field potentials and spikes from visual and auditory cortices: time scales and frequency bands.

Belitski A, Panzeri S, Magri C, Logothetis NK, Kayser C.

J Comput Neurosci. 2010 Dec;29(3):533-45. doi: 10.1007/s10827-010-0230-y.

5.

Optimal band separation of extracellular field potentials.

Magri C, Mazzoni A, Logothetis NK, Panzeri S.

J Neurosci Methods. 2012 Sep 15;210(1):66-78. doi: 10.1016/j.jneumeth.2011.11.005.

PMID:
22101145
6.

Synaptic origin and stimulus dependency of neuronal oscillatory activity in the primary visual cortex of the cat.

Bringuier V, Frégnac Y, Baranyi A, Debanne D, Shulz DE.

J Physiol. 1997 May 1;500 ( Pt 3):751-74.

7.

Inferring spike trains from local field potentials.

Rasch MJ, Gretton A, Murayama Y, Maass W, Logothetis NK.

J Neurophysiol. 2008 Mar;99(3):1461-76.

8.

Understanding the relationships between spike rate and delta/gamma frequency bands of LFPs and EEGs using a local cortical network model.

Mazzoni A, Whittingstall K, Brunel N, Logothetis NK, Panzeri S.

Neuroimage. 2010 Sep;52(3):956-72. doi: 10.1016/j.neuroimage.2009.12.040.

PMID:
20026218
9.

A toolbox for the fast information analysis of multiple-site LFP, EEG and spike train recordings.

Magri C, Whittingstall K, Singh V, Logothetis NK, Panzeri S.

BMC Neurosci. 2009 Jul 16;10:81. doi: 10.1186/1471-2202-10-81.

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Low-frequency local field potentials and spikes in primary visual cortex convey independent visual information.

Belitski A, Gretton A, Magri C, Murayama Y, Montemurro MA, Logothetis NK, Panzeri S.

J Neurosci. 2008 May 28;28(22):5696-709. doi: 10.1523/JNEUROSCI.0009-08.2008.

13.

Cortical mapping of gamma oscillations in areas V1 and V4 of the macaque monkey.

Rols G, Tallon-Baudry C, Girard P, Bertrand O, Bullier J.

Vis Neurosci. 2001 Jul-Aug;18(4):527-40.

PMID:
11829299
14.

Gating of local network signals appears as stimulus-dependent activity envelopes in striate cortex.

Schiff ND, Purpura KP, Victor JD.

J Neurophysiol. 1999 Nov;82(5):2182-96.

15.

Cross-approximate entropy of cortical local field potentials quantifies effects of anesthesia--a pilot study in rats.

Kreuzer M, Hentschke H, Antkowiak B, Schwarz C, Kochs EF, Schneider G.

BMC Neurosci. 2010 Sep 23;11:122. doi: 10.1186/1471-2202-11-122.

16.

A novel test to determine the significance of neural selectivity to single and multiple potentially correlated stimulus features.

Ince RA, Mazzoni A, Bartels A, Logothetis NK, Panzeri S.

J Neurosci Methods. 2012 Sep 15;210(1):49-65. doi: 10.1016/j.jneumeth.2011.11.013.

PMID:
22142889
17.

Volatile anesthetics disrupt frontal-posterior recurrent information transfer at gamma frequencies in rat.

Imas OA, Ropella KM, Ward BD, Wood JD, Hudetz AG.

Neurosci Lett. 2005 Oct 28;387(3):145-50.

PMID:
16019145
18.

Fast oscillations display sharper orientation tuning than slower components of the same recordings in striate cortex of the awake monkey.

Frien A, Eckhorn R, Bauer R, Woelbern T, Gabriel A.

Eur J Neurosci. 2000 Apr;12(4):1453-65.

PMID:
10762373
19.

The amplitude and timing of the BOLD signal reflects the relationship between local field potential power at different frequencies.

Magri C, Schridde U, Murayama Y, Panzeri S, Logothetis NK.

J Neurosci. 2012 Jan 25;32(4):1395-407. doi: 10.1523/JNEUROSCI.3985-11.2012.

20.

Inferring Cortical Variability from Local Field Potentials.

Cui Y, Liu LD, McFarland JM, Pack CC, Butts DA.

J Neurosci. 2016 Apr 6;36(14):4121-35. doi: 10.1523/JNEUROSCI.2502-15.2016.

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