Back

State transitions in the statistically stable place cell population are determined by rate of perceptual change

Tanni, S.; de Cothi, W.; Barry, C.

2021-07-21 neuroscience
10.1101/2021.06.16.448638 bioRxiv
Show abstract

The hippocampus plays a central role in mammalian navigation and memory, yet an implementational understanding of the rules that govern the granularity of location encoding and the spatial-statistics of the population as a whole are lacking. We analysed large numbers of CA1 place fields recorded while rats foraged in environments up to 8.75 m2. We found that place cell propensities to form fields were proportional to open-field area, gamma-distributed, and conserved across environments. The properties of place fields varied positionally with a denser distribution of smaller fields near boundaries. Remarkably, field size and density were in a dynamic equilibrium, such that population-level activity statistics remained constant. We showed that the rate of transition through the statistically stable place cell population matched the rate of change in the animals visual scenes - demonstrating that the resolution of the spatial-memory system is bounded by perceptual information afforded by the environment.

Matching journals

The top 5 journals account for 50% of the predicted probability mass.

1
eLife
● 5828 papers in training set
Top 3%
18.2%
Similar papers in this journal
2
Nature Communications
○ 5641 papers in training set
Top 17%
10.9%
Similar papers in this journal
3
Current Biology
○ 665 papers in training set
Top 1%
9.6%
Similar papers in this journal
4
The Journal of Neuroscience
● 1025 papers in training set
Top 2%
9.5%
Similar papers in this journal
5
eneuro
● 439 papers in training set
Top 1%
5.4%
Similar papers in this journal
50% of probability mass above
6
Hippocampus
○ 56 papers in training set
Top 0.1%
5.1%
7
Neuron
○ 337 papers in training set
Top 2%
4.8%
8
Cell Reports
○ 1498 papers in training set
Top 8%
4.8%
9
Nature Neuroscience
○ 252 papers in training set
Top 2%
3.2%
10
iScience
○ 1154 papers in training set
Top 10%
2.6%
11
PLOS Biology
● 486 papers in training set
Top 3%
2.4%
12
Scientific Reports
○ 3612 papers in training set
Top 41%
2.4%
13
Proceedings of the National Academy of Sciences
● 2444 papers in training set
Top 22%
2.4%
14
Cerebral Cortex
◐ 396 papers in training set
Top 3%
2.1%
15
Frontiers in Neural Circuits
○ 43 papers in training set
Top 0.4%
1.4%
16
PLOS Computational Biology
● 1863 papers in training set
Top 16%
1.3%
17
Communications Biology
○ 993 papers in training set
Top 22%
1.1%
18
The Journal of Physiology
○ 150 papers in training set
Top 2%
1.1%
19
Science Advances
● 1243 papers in training set
Top 26%
1.1%
20
Cell
○ 431 papers in training set
Top 8%
1.1%
21
Neuroscience
○ 97 papers in training set
Top 2%
0.8%
22
European Journal of Neuroscience
○ 189 papers in training set
Top 4%
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.