5.8 KiB
Marmoset Electrocorticography – Auditory Dataset
Authors: Misako Komatsu1,2*, Noritaka Ichinohe1,2
- Laboratory for Molecular Analysis of Higher Brain Function, RIKEN Center for Brain Science
- Department of Ultrastructural Research, National Center of Neurology and Psychiatry
*corresponding author: Misako Komatsu (mskkomatsu@gmail.com)
DATASET DESCRIPTION
We used auditory stimuli of different durations (AD) and frequencies (AF). In AD, 10 types of pure sinusoidal tones (1 ms rise/fall) with different durations (10, 25, 50, 75, 100, 125, 150, 175, 200, and 225 ms; 1000 Hz; 2000 stimuli in total) were randomly presented with an equal probability of 10%. In AF, 10 types of tones with different frequencies (700, 800, 900, 1000, 1100, 1200, 1300, 1400, 1500, and 1600 Hz; 50 ms; 1000 stimuli in total) were presented with an equal probability of 10%. Epidural ECoG recordings were taken in the passive listening condition while monkeys were in awake and ketamine (30 mg/kg i.m.) administrated conditions. ECoG data were sampled at 1KHz. Data format information can be found on TychoWiki.
CITATION
Komatsu, Misako; Ichinohe, Noritaka : Brain/MINDS Marmoset Brain ECoG Auditory Dataset 01 (DataID: 4924)
RELATED PUBLICATION(S)
Komatsu, M; Ichinohe N (2020): Effects of ketamine administration on auditory information processing in the neocortex of nonhuman primates. Front. Psychiatry 11:826. doi: 10.3389/fpsyt.2020.00826
LICENSE
This work is licensed under a Creative Commons Attribution 4.0 International License.
CONTENT
*K10, K30, and K150 mean 10, 30, and 150 mins after ketamine administrations.
| Data Name | Data Type | Marmoset ID | Condition |
|---|---|---|---|
Ji20180308S1c.zip |
MAT(ECoG96, Event) | R03_0024_CM622M | AD-Awake |
Ji20180308S3c.zip |
MAT(ECoG96, Event) | R03_0024_CM622M | AD-K10 |
Ji20180308S5c.zip |
MAT(ECoG96, Event) | R03_0024_CM622M | AD-K30 |
Ji20180308S15c.zip |
MAT(ECoG96, Event) | R03_0024_CM622M | AD-K150 |
Ji20180313S3c.zip |
MAT(ECoG96, Event) | R03_0024_CM622M | AF-K10 |
Ji20180313S5c.zip |
MAT(ECoG96, Event) | R03_0024_CM622M | AF-K30 |
Ji20180313S15c.zip |
MAT(ECoG96, Event) | R03_0024_CM622M | AF-K150 |
Ji20180317S1c.zip |
MAT(ECoG96, Event) | R03_0024_CM622M | AD-Awake |
Ji20180317S3c.zip |
MAT(ECoG96, Event) | R03_0024_CM622M | AD-K10 |
Ji20180317S5c.zip |
MAT(ECoG96, Event) | R03_0024_CM622M | AD-K30 |
Ji20180317S15c.zip |
MAT(ECoG96, Event) | R03_0024_CM622M | AD-K150 |
Ji20180324S1c.zip |
MAT(ECoG96, Event) | R03_0024_CM622M | AF-Awake |
Ji20180324S3c.zip |
MAT(ECoG96, Event) | R03_0024_CM622M | AF-K10 |
Ji20180324S5c.zip |
MAT(ECoG96, Event) | R03_0024_CM622M | AF-K30 |
Ji20180324S15c.zip |
MAT(ECoG96, Event) | R03_0024_CM622M | AF-K150 |
Ji20180331S1c.zip |
MAT(ECoG96, Event) | R03_0024_CM622M | AF-Awake |
Ji20180414S1c.zip |
MAT(ECoG96, Event) | R03_0024_CM622M | AD-Awake |
Ji20180428S1c.zip |
MAT(ECoG96, Event) | R03_0024_CM622M | AF-Awake |
Ji20180512S1c.zip |
MAT(ECoG96, Event) | R03_0024_CM622M | AD-Awake |
Or20171207S2c.zip |
MAT(ECoG96, Event) | R03_0035_CM814F | AD-Awake |
Or20171207S4c.zip |
MAT(ECoG96, Event) | R03_0035_CM814F | AD-K10 |
Or20171207S6c.zip |
MAT(ECoG96, Event) | R03_0035_CM814F | AD-K30 |
Or20171207S16c.zip |
MAT(ECoG96, Event) | R03_0035_CM814F | AD-K150 |
Or20171221S2c.zip |
MAT(ECoG96, Event) | R03_0035_CM814F | AF-Awake |
Or20171221S4c.zip |
MAT(ECoG96, Event) | R03_0035_CM814F | AF-K10 |
Or20171221S6c.zip |
MAT(ECoG96, Event) | R03_0035_CM814F | AF-K30 |
Or20171221S16c.zip |
MAT(ECoG96, Event) | R03_0035_CM814F | AF-K150 |
Or20180602S1c.zip |
MAT(ECoG96, Event) | R03_0035_CM814F | AD-Awake |
Or20180623S1c.zip |
MAT(ECoG96, Event) | R03_0035_CM814F | AF-Awake |
Rc20180611S5c.zip |
MAT(ECoG93, Event) | R03_0044_CM997M | AF-Awake |
Rc20180613S5c.zip |
MAT(ECoG93, Event) | R03_0044_CM997M | AF-Awake |
Rc20180618S6c.zip |
MAT(ECoG93, Event) | R03_0044_CM997M | AF-Awake |
Rc20180620S6c.zip |
MAT(ECoG93, Event) | R03_0044_CM997M | AF-Awake |
Rc20180629S10c.zip |
MAT(ECoG93, Event) | R03_0044_CM997M | AD-Awake |
Rc20180702S13c.zip |
MAT(ECoG93, Event) | R03_0044_CM997M | AD-Awake |
Rc20180718S6c.zip |
MAT(ECoG93, Event) | R03_0044_CM997M | AD-Awake |
Rc20180720S11c.zip |
MAT(ECoG93, Event) | R03_0044_CM997M | AD-Awake |
Ss20180608S5c.zip |
MAT(ECoG96, Event) | R03_0070_CM1002M | AF-Awake |
Ss20180611S6c.zip |
MAT(ECoG96, Event) | R03_0070_CM1002M | AF-Awake |
Ss20180613S5c.zip |
MAT(ECoG96, Event) | R03_0070_CM1002M | AF-Awake |
Ss20180615S5c.zip |
MAT(ECoG96, Event) | R03_0070_CM1002M | AF-Awake |
Ss20180620S4c.zip |
MAT(ECoG96, Event) | R03_0070_CM1002M | AF-Awake |
Ss20180629S11c.zip |
MAT(ECoG96, Event) | R03_0070_CM1002M | AD-Awake |
Ss20180702S10c.zip |
MAT(ECoG96, Event) | R03_0070_CM1002M | AD-Awake |
Ss20180718S6c.zip |
MAT(ECoG96, Event) | R03_0070_CM1002M | AD-Awake |
Ss20180719S8c.zip |
MAT(ECoG96, Event) | R03_0070_CM1002M | AD-Awake |
Ss20180720S9c.zip |
MAT(ECoG96, Event) | R03_0070_CM1002M | AD-Awake |