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Literature DB >> 19608406

Correlations and brain states: from electrophysiology to functional imaging.

Adam Kohn¹, Amin Zandvakili, Matthew A Smith.

Abstract

Neural activity in cortex is correlated, an observation that has traditionally been attributed to neurons receiving input from a shared and limited presynaptic pool. Recent studies have shown that correlations are also strongly influenced by network fluctuations that operate over a range of spatial and temporal scales, extending in some cases across cortical areas. These fluctuations are sensitive to internal states and external drive, so that correlations themselves depend strongly on cognitive state and stimulus properties. Given the potential impact on population coding, this modulation of correlations may play an important role in sensory processing.

Entities: Chemical Disease Species

Mesh：

Year: 2009 PMID： 19608406 PMCID： PMC2889912 DOI： 10.1016/j.conb.2009.06.007

Source DB: PubMed Journal: Curr Opin Neurobiol ISSN： 0959-4388 Impact factor: 6.627

49 in total

1. Attention increases sensitivity of V4 neurons.

Authors: J H Reynolds; T Pasternak; R Desimone
Journal: Neuron Date: 2000-06 Impact factor: 17.173

2. Relationship between spontaneous and evoked spike-time correlations in primate visual cortex.

Authors: Walter J Jermakowicz; Xin Chen; Ilya Khaytin; A B Bonds; Vivien A Casagrande
Journal: J Neurophysiol Date: 2009-02-11 Impact factor: 2.714

3. Electrophysiological correlates of the brain's intrinsic large-scale functional architecture.

Authors: Biyu J He; Abraham Z Snyder; John M Zempel; Matthew D Smyth; Marcus E Raichle
Journal: Proc Natl Acad Sci U S A Date: 2008-10-08 Impact factor: 11.205

4. Synchrony and the binding problem in macaque visual cortex.

Authors: Yi Dong; Stefan Mihalas; Fangtu Qiu; Rüdiger von der Heydt; Ernst Niebur
Journal: J Vis Date: 2008-11-11 Impact factor: 2.240

5. Spatial and temporal scales of neuronal correlation in primary visual cortex.

Authors: Matthew A Smith; Adam Kohn
Journal: J Neurosci Date: 2008-11-26 Impact factor: 6.167

6. Stimulus contrast modulates functional connectivity in visual cortex.

Authors: Ian Nauhaus; Laura Busse; Matteo Carandini; Dario L Ringach
Journal: Nat Neurosci Date: 2008-11-23 Impact factor: 24.884

7. Interhemispheric correlations of slow spontaneous neuronal fluctuations revealed in human sensory cortex.

Authors: Yuval Nir; Roy Mukamel; Ilan Dinstein; Eran Privman; Michal Harel; Lior Fisch; Hagar Gelbard-Sagiv; Svetlana Kipervasser; Fani Andelman; Miri Y Neufeld; Uri Kramer; Amos Arieli; Itzhak Fried; Rafael Malach
Journal: Nat Neurosci Date: 2008-09 Impact factor: 24.884

8. Noise correlations in cortical area MT and their potential impact on trial-by-trial variation in the direction and speed of smooth-pursuit eye movements.

Authors: Xin Huang; Stephen G Lisberger
Journal: J Neurophysiol Date: 2009-03-25 Impact factor: 2.714

9. Stimulus onset quenches neural variability: a widespread cortical phenomenon.

Authors: Mark M Churchland; Byron M Yu; John P Cunningham; Leo P Sugrue; Marlene R Cohen; Greg S Corrado; William T Newsome; Andrew M Clark; Paymon Hosseini; Benjamin B Scott; David C Bradley; Matthew A Smith; Adam Kohn; J Anthony Movshon; Katherine M Armstrong; Tirin Moore; Steve W Chang; Lawrence H Snyder; Stephen G Lisberger; Nicholas J Priebe; Ian M Finn; David Ferster; Stephen I Ryu; Gopal Santhanam; Maneesh Sahani; Krishna V Shenoy
Journal: Nat Neurosci Date: 2010-02-21 Impact factor: 24.884

10. Context-dependent changes in functional circuitry in visual area MT.

Authors: Marlene R Cohen; William T Newsome
Journal: Neuron Date: 2008-10-09 Impact factor: 17.173

48 in total

1. The subthreshold relation between cortical local field potential and neuronal firing unveiled by intracellular recordings in awake rats.

Authors: Michael Okun; Amir Naim; Ilan Lampl
Journal: J Neurosci Date: 2010-03-24 Impact factor: 6.167

2. Natural grouping of neural responses reveals spatially segregated clusters in prearcuate cortex.

Authors: Roozbeh Kiani; Christopher J Cueva; John B Reppas; Diogo Peixoto; Stephen I Ryu; William T Newsome
Journal: Neuron Date: 2015-02-26 Impact factor: 17.173

3. Brain-computer interfaces increase whole-brain signal to noise.

Authors: T Dorina Papageorgiou; Jonathan M Lisinski; Monica A McHenry; Jason P White; Stephen M LaConte
Journal: Proc Natl Acad Sci U S A Date: 2013-07-30 Impact factor: 11.205

4. The Ising decoder: reading out the activity of large neural ensembles.

Authors: Michael T Schaub; Simon R Schultz
Journal: J Comput Neurosci Date: 2011-06-11 Impact factor: 1.621

5. A wireless multi-channel neural amplifier for freely moving animals.

Authors: Tobi A Szuts; Vitaliy Fadeyev; Sergei Kachiguine; Alexander Sher; Matthew V Grivich; Margarida Agrochão; Pawel Hottowy; Wladyslaw Dabrowski; Evgueniy V Lubenov; Athanassios G Siapas; Naoshige Uchida; Alan M Litke; Markus Meister
Journal: Nat Neurosci Date: 2011-01-16 Impact factor: 24.884

Correlations and brain states: from electrophysiology to functional imaging.

1. Attention increases sensitivity of V4 neurons.

2. Relationship between spontaneous and evoked spike-time correlations in primate visual cortex.

3. Electrophysiological correlates of the brain's intrinsic large-scale functional architecture.

4. Synchrony and the binding problem in macaque visual cortex.

5. Spatial and temporal scales of neuronal correlation in primary visual cortex.

6. Stimulus contrast modulates functional connectivity in visual cortex.

7. Interhemispheric correlations of slow spontaneous neuronal fluctuations revealed in human sensory cortex.

8. Noise correlations in cortical area MT and their potential impact on trial-by-trial variation in the direction and speed of smooth-pursuit eye movements.

9. Stimulus onset quenches neural variability: a widespread cortical phenomenon.

10. Context-dependent changes in functional circuitry in visual area MT.

1. The subthreshold relation between cortical local field potential and neuronal firing unveiled by intracellular recordings in awake rats.

2. Natural grouping of neural responses reveals spatially segregated clusters in prearcuate cortex.

3. Brain-computer interfaces increase whole-brain signal to noise.

4. The Ising decoder: reading out the activity of large neural ensembles.

5. A wireless multi-channel neural amplifier for freely moving animals.

6. Subcortical input heterogeneity in the mouse inferior colliculus.

7. γ and the coordination of spiking activity in early visual cortex.

8. Dynamic reorganization of human resting-state networks during visuospatial attention.

9. Stimulus onset quenches neural variability: a widespread cortical phenomenon.

10. Attention improves performance primarily by reducing interneuronal correlations.