Statistical analysis of unit activity in the cat motor cortex

1980 ◽  
Vol 11 (3) ◽  
pp. 145-150
Author(s):  
B. M. Sidorov ◽  
V. V. Shul'govskii ◽  
B. I. Kotlyar
Keyword(s):  
Statistical Analysis ◽  
Motor Cortex ◽  
Unit Activity

Unit activity of motor cortex during acoustically signalled reaching in rats

1984 ◽  
Vol 12 (3) ◽  
pp. 317-326 ◽  
Author(s):  
V.M. Storozhuk ◽  
V. Brácha ◽  
G. Brožek ◽  
J. Bureš
Keyword(s):  
Motor Cortex ◽  
Unit Activity

Unit activity in an epileptic focus formed in the cat motor cortex with tetanus toxin

1979 ◽  
Vol 10 (6) ◽  
pp. 425-431
Author(s):  
G. N. Kryzhanovskii ◽  
V. M. Okudzhava ◽  
M. B. Rekhtman ◽  
I. A. Mzhaviya
Keyword(s):  
Motor Cortex ◽  
Unit Activity ◽  
Tetanus Toxin ◽  
Epileptic Focus

Skilled forelimb movements and unit activity in motor cortex and caudate nucleus in rats

Neuroscience ◽  
1977 ◽  
Vol 2 (1) ◽  
pp. 73-80 ◽  
Author(s):  
E. Dolbakyan ◽  
N. Hernandez-Mesa ◽  
J. Buresˇ
Keyword(s):  
Motor Cortex ◽  
Caudate Nucleus ◽  
Unit Activity ◽  
Forelimb Movements

scholarly journals Single-unit activity, threshold crossings, and local field potentials in motor cortex differentially encode reach kinematics

2015 ◽  
Vol 114 (3) ◽  
pp. 1500-1512 ◽  
Author(s):  
Sagi Perel ◽  
Patrick T. Sadtler ◽  
Emily R. Oby ◽  
Stephen I. Ryu ◽  
Elizabeth C. Tyler-Kabara ◽  
...  
Keyword(s):  
Motor Cortex ◽  
Local Field ◽  
Unit Activity ◽  
Single Unit ◽  
Primary Motor Cortex ◽  
Spatial Scales ◽  
Local Field Potentials ◽  
Single Unit Activity ◽  
Field Potentials ◽  
Threshold Crossing

A diversity of signals can be recorded with extracellular electrodes. It remains unclear whether different signal types convey similar or different information and whether they capture the same or different underlying neural phenomena. Some researchers focus on spiking activity, while others examine local field potentials, and still others posit that these are fundamentally the same signals. We examined the similarities and differences in the information contained in four signal types recorded simultaneously from multielectrode arrays implanted in primary motor cortex: well-isolated action potentials from putative single units, multiunit threshold crossings, and local field potentials (LFPs) at two distinct frequency bands. We quantified the tuning of these signal types to kinematic parameters of reaching movements. We found 1) threshold crossing activity is not a proxy for single-unit activity; 2) when examined on individual electrodes, threshold crossing activity more closely resembles LFP activity at frequencies between 100 and 300 Hz than it does single-unit activity; 3) when examined across multiple electrodes, threshold crossing activity and LFP integrate neural activity at different spatial scales; and 4) LFP power in the “beta band” (between 10 and 40 Hz) is a reliable indicator of movement onset but does not encode kinematic features on an instant-by-instant basis. These results show that the diverse signals recorded from extracellular electrodes provide somewhat distinct and complementary information. It may be that these signal types arise from biological phenomena that are partially distinct. These results also have practical implications for harnessing richer signals to improve brain-machine interface control.

Effects of GABAB antagonists on transcallosal responses of unit activity recorded in the cat motor cortex

1994 ◽  
Vol 19 ◽  
pp. S188
Author(s):  
Md Syed Ahsan Chowdhury ◽  
Takashi Kawashima ◽  
Tokitaka Konishi ◽  
Ken'ichi Matsunami
Keyword(s):  
Motor Cortex ◽  
Unit Activity ◽  
Gabab Antagonists

Changes in single unit activity in the cat senso motor cortex during repetitive stimulation

1976 ◽  
Vol 7 (4) ◽  
pp. 340-342
Author(s):  
A. A. Pirogov
Keyword(s):  
Motor Cortex ◽  
Unit Activity ◽  
Single Unit ◽  
Repetitive Stimulation ◽  
Single Unit Activity

scholarly journals Investigating the Effects of Macaque Primary Motor Cortex Multi-Unit Activity Binning Period on Behavioural Decoding Performance

2020 ◽  
Author(s):  
Oscar W. Savolainen ◽  
Timothy G. Constandinou
Keyword(s):  
Motor Cortex ◽  
Unit Activity ◽  
Primary Motor Cortex ◽  
Short Term Memory ◽  
Moving Average ◽  
Pearson Correlation ◽  
Neural Data ◽  
Training Examples ◽  
The Relationship ◽  
Behavioral Information

AbstractThis paper investigates the relationship between Multi-Unit Activity (MUA) Binning Period (BP) and Brain-Computer Interface (BCI) decoding performance using Long-Short Term Memory decoders. The motivation is to determine whether lossy compression of MUA via increasing BP has any adverse consequences for BCI Behavioral Decoding Performance (BDP). The Neural data originates from intracortical recordings from Macaque Primary Motor cortex [1]. The BDP is measured by the Pearson correlation r between the observed and predicted velocity of the subject’s X-Y hand coordinates in reaching tasks [1]. The results suggest a statistically significant but slight linear relationship between increasing MUA BP and decreasing BDP. For example, when using a 100 ms moving average window, increasing the BP by 10 ms on average reduces the BDP r by approximately 0.85%. This relationship may be due to the reduced number of training examples, or due to the loss of Behavioral information because of reduced MUA temporal resolution.

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