Back

High resolution visual information via a gap junction-mediated spike order code

Tong, R.; Trenholm, S.

2020-08-14 neuroscience
10.1101/2020.08.14.250910 bioRxiv
Show abstract

Gap junctions promote correlated spiking between coupled neurons. Recording from pairs of coupled retinal ganglion cells, we find that differences in firing rate between coupled neurons dictates which cell leads correlated spike-pairs, and that the precise temporal order of spike activity between pairs of cells changes depending on the spatial position of a visual stimulus. We thus demonstrate a spike order spatial code for encoding sensory information.

Matching journals

The top 3 journals account for 50% of the predicted probability mass.

1
Nature Communications
○ 5641 papers in training set
Top 4%
26.6%
Similar papers in this journal
2
Current Biology
○ 665 papers in training set
Top 0.6%
13.0%
Similar papers in this journal
3
eLife
● 5828 papers in training set
Top 8%
11.9%
Similar papers in this journal
50% of probability mass above
4
Nature Neuroscience
○ 252 papers in training set
Top 0.5%
11.1%
Similar papers in this journal
5
Nature
○ 645 papers in training set
Top 2%
9.7%
Similar papers in this journal
6
Neuron
○ 337 papers in training set
Top 1%
6.7%
7
Proceedings of the National Academy of Sciences
● 2444 papers in training set
Top 11%
4.3%
8
Science Advances
● 1243 papers in training set
Top 10%
3.3%
9
Cell Reports
○ 1498 papers in training set
Top 18%
1.7%
10
Science
● 477 papers in training set
Top 6%
1.3%
11
Cell
○ 431 papers in training set
Top 7%
1.3%
12
Communications Biology
○ 993 papers in training set
Top 24%
1.1%
13
Developmental Cell
○ 196 papers in training set
Top 3%
1.0%
14
iScience
○ 1154 papers in training set
Top 30%
1.0%
15
PLOS Biology
● 486 papers in training set
Top 11%
0.8%
16
Scientific Reports
○ 3612 papers in training set
Top 76%
0.6%
17
PLOS Computational Biology
● 1863 papers in training set
Top 21%
0.6%

"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.