Published March 8, 2018
| Version 1
Dataset
Open
Dataset for "Resonance with subthreshold oscillatory drive organizes activity and optimizes learning in neural networks"
Authors/Creators
- 1. University of Michigan
Description
This is the experimental dataset for the paper "Resonance with subthreshold oscillatory drive organizes activity and optimizes learning in neural networks", doi/10.1073/pnas.1716933115.
Files
Files
(2.5 GB)
| Name | Size | Download all |
|---|---|---|
|
md5:56641343e2b770e94b91958528b37491
|
71.6 MB | Download |
|
md5:a317bdcc9b1005613a19d499e0dfdab7
|
63.6 MB | Download |
|
md5:c84e219487ac4d377ded19f2e1ad24ab
|
64.5 MB | Download |
|
md5:092b7e09dbe8dfd572b16f55298f81c7
|
67.1 MB | Download |
|
md5:3cb72cd4d68ed496999820100b91f741
|
61.0 MB | Download |
|
md5:010c2637d57accdab9f989146349e23f
|
62.1 MB | Download |
|
md5:5a84cc2513ccf7bf942ca3c2159757c4
|
59.3 MB | Download |
|
md5:2c6652718b52db03277e8729df176593
|
78.4 MB | Download |
|
md5:572fd2841a3dc477c17c91e6ee58af00
|
124.3 MB | Download |
|
md5:36124693bdf6456ab0c76bad0e567129
|
61.7 MB | Download |
|
md5:192cfe7ee8877d7ef54993b9c6bddc1f
|
53.1 MB | Download |
|
md5:faf207404e4bbe93948dbec7563390fc
|
60.3 MB | Download |
|
md5:ea38f0570cff73ffb458f30d2ee4b260
|
59.1 MB | Download |
|
md5:bbed03a2ee34c653142c5ef49beef2ba
|
70.3 MB | Download |
|
md5:1e39edbee67f42afc2490c65178aa4ed
|
40.5 MB | Download |
|
md5:0111e797f0310b1a9b5758b2e3578240
|
43.2 MB | Download |
|
md5:df6e91e0ef43720faedc4885dc5c9132
|
122.0 MB | Download |
|
md5:451872a988837f3a3c212a3f234588f3
|
76.7 MB | Download |
|
md5:04b89e6a9cf6286c212a3037950dd030
|
52.5 MB | Download |
|
md5:59b9975198a3d59adbecad51f6cbf1b2
|
62.4 MB | Download |
|
md5:4302b1ed5c748b2e01691fd490e342ae
|
60.5 MB | Download |
|
md5:e49ce76f0a7955777153238cc8248f85
|
60.5 MB | Download |
|
md5:0907fdc8e1de82845e2f328a4c7beb6e
|
59.1 MB | Download |
|
md5:c4b8c79999590be40a3c850c0d795e20
|
56.3 MB | Download |
|
md5:733296317d27ff69b011325eee975bab
|
59.4 MB | Download |
|
md5:3cf179a61a30dda03a69b402286f8e5e
|
59.6 MB | Download |
|
md5:76582e29e3f1c2dd210c837023e25548
|
68.6 MB | Download |
|
md5:af97b7df41a533eca8a11971bd3f0783
|
59.3 MB | Download |
|
md5:e6ba0c746577e57ede56e20cb3e2ee91
|
64.3 MB | Download |
|
md5:f2914dce5083515a57696b0ea550d4e5
|
61.7 MB | Download |
|
md5:0004dc8372f9e4e02bdc554c2bf5f5ad
|
65.3 MB | Download |
|
md5:4ba98f254d6f670ac911d988434539f6
|
58.9 MB | Download |
|
md5:a57470c0f95e91d29e6f72dafb441175
|
67.5 MB | Download |
|
md5:0f003abc207d301ecb168b3fccc97d5e
|
68.0 MB | Download |
|
md5:2172bf7c79c3a30342261bbb8957e7a7
|
63.5 MB | Download |
|
md5:de4be823cc0598ce6fba9d0722b2b3bd
|
51.3 MB | Download |
|
md5:715dc1ef16e1f0c4d7d33e29c4d0e12c
|
64.3 MB | Download |
|
md5:02362c48418775075d98d5c5e5992ca0
|
60.6 MB | Download |
|
md5:1b4c782a2ea0e610d25a5abcfe9e3694
|
58.6 MB | Download |