scholarly journals Correction: Decoding of Repeated Objects from Local Field Potentials in Macaque Inferior Temporal Cortex

PLoS ONE ◽  
2013 ◽  
Vol 8 (9) ◽  
Author(s):  
Dzmitry A. Kaliukhovich ◽  
Rufin Vogels
Keyword(s):  
Local Field ◽  
Temporal Cortex ◽  
Local Field Potentials ◽  
Inferior Temporal Cortex ◽  
Field Potentials

scholarly journals Object Selectivity of Local Field Potentials and Spikes in the Macaque Inferior Temporal Cortex

Neuron ◽  
2006 ◽  
Vol 49 (3) ◽  
pp. 433-445 ◽  
Author(s):  
Gabriel Kreiman ◽  
Chou P. Hung ◽  
Alexander Kraskov ◽  
Rodrigo Quian Quiroga ◽  
Tomaso Poggio ◽  
...  
Keyword(s):  
Local Field ◽  
Temporal Cortex ◽  
Local Field Potentials ◽  
Inferior Temporal Cortex ◽  
Field Potentials

Selectivity of Local Field Potentials in Macaque Inferior Temporal Cortex

2004 ◽  
Author(s):  
Gabriel Kreiman ◽  
Chou Hung ◽  
Tomaso Poggio ◽  
James DiCarlo
Keyword(s):  
Local Field ◽  
Temporal Cortex ◽  
Local Field Potentials ◽  
Inferior Temporal Cortex ◽  
Field Potentials

scholarly journals Synchronous Unit Activity and Local Field Potentials Evoked in the Subthalamic Nucleus by Cortical Stimulation

2004 ◽  
Vol 92 (2) ◽  
pp. 700-714 ◽  
Author(s):  
Peter J. Magill ◽  
Andrew Sharott ◽  
Mark D. Bevan ◽  
Peter Brown ◽  
J. Paul Bolam
Keyword(s):  
Subthalamic Nucleus ◽  
Local Field ◽  
Temporal Cortex ◽  
Local Field Potentials ◽  
Population Level ◽  
Short Latency ◽  
Cortical Activation ◽  
Field Potentials ◽  
Cortical Inputs ◽  
Stimulation Of

The responses of single subthalamic nucleus (STN) neurons to cortical activation are complex and depend on the relative activation of several neuronal circuits, making theoretical extrapolation of single neuron responses to the population level difficult. To understand better the degree of synchrony imposed on STN neurons and associated neuronal networks by cortical activation, we recorded the responses of single units, pairs of neighboring neurons, and local field potentials (LFPs) in STN to discrete electrical stimulation of the cortex in anesthetized rats. Stimulation of ipsilateral frontal cortex, but not temporal cortex, generated synchronized “multiphasic” responses in neighboring units in rostral STN, usually consisting of a brief, short-latency excitation, a brief inhibition, a second excitation, and a long-duration inhibition. Evoked LFPs in STN consistently mirrored unit responses; brief, negative deflections in the LFP coincided with excitations and brief, positive deflections with inhibitions. This characteristic LFP was dissimilar to potentials evoked in cortex and structures surrounding STN and was resistant to fluctuations in forebrain activity. The short-latency excitation and associated LFP deflection exhibited the highest fidelity to low-intensity cortical stimuli. Unit response failures, which mostly occurred in caudal STN, were not associated with LFPs typical of rostral STN. These data suggest that local populations of STN neurons can be synchronized by both direct and indirect cortical inputs. Synchronized ensemble activity is dependent on topography and input intensity. Finally, the stereotypical, multiphasic profile of the evoked LFP indicates that it might be useful for locating the STN in clinical as well as nonclinical settings.

scholarly journals Relationships between spike-free local field potentials and spike timing in human temporal cortex

2012 ◽  
Vol 107 (7) ◽  
pp. 1808-1821 ◽  
Author(s):  
Stavros Zanos ◽  
Theodoros P. Zanos ◽  
Vasilis Z. Marmarelis ◽  
George A. Ojemann ◽  
Eberhard E. Fetz
Keyword(s):  
Local Field ◽  
Spike Activity ◽  
Cell Activity ◽  
Temporal Cortex ◽  
Local Field Potentials ◽  
Spike Timing ◽  
Synaptic Activity ◽  
Linear Component ◽  
Field Potentials ◽  
Neuronal Spike

Intracortical recordings comprise both fast events, action potentials (APs), and slower events, known as local field potentials (LFPs). Although it is believed that LFPs mostly reflect local synaptic activity, it is unclear which of their signal components are most closely related to synaptic potentials and would therefore be causally related to the occurrence of individual APs. This issue is complicated by the significant contribution from AP waveforms, especially at higher LFP frequencies. In recordings of single-cell activity and LFPs from the human temporal cortex, we computed quantitative, nonlinear, causal dynamic models for the prediction of AP timing from LFPs, at millisecond resolution, before and after removing AP contributions to the LFP. In many cases, the timing of a significant number of single APs could be predicted from spike-free LFPs at different frequencies. Not surprisingly, model performance was superior when spikes were not removed. Cells whose activity was predicted by the spike-free LFP models generally fell into one of two groups: in the first group, neuronal spike activity was associated with specific phases of low LFP frequencies, lower spike activity at high LFP frequencies, and a stronger linear component in the spike-LFP model; in the second group, neuronal spike activity was associated with larger amplitude of high LFP frequencies, less frequent phase locking, and a stronger nonlinear model component. Spike timing in the first group was better predicted by the sign and level of the LFP preceding the spike, whereas spike timing in the second group was better predicted by LFP power during a certain time window before the spike.

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