Back

A spiking LIF model captures the role of Somatostatin and Parvalbumin neurons in generating oscillations in V1

Milea, D.; Meneghetti, N.; Mazzoni, A.; Cataldo, E.

2025-01-25 neuroscience
10.1101/2025.01.24.634718 bioRxiv
Show abstract

PurposeOscillations in the primary visual cortex of the mammalian brain have been demonstrated to arise from the balance between excitatory and inhibitory activity. Experimental studies suggest that different inhibitory neuron populations might make specific contributions to such oscillations, but the underlying mechanism has not yet been assessed. MethodsWe modified a standard excitatory-inhibitory spiking neuron model of layer 4 of the primary visual cortex and we investigated the effects on oscillations of the differentiation of inhibitory neurons in somatostatin and parvalbumin neurons. ResultsOur model reproduced the hypothesis that somatostatin and parvalbumin neurons are responsible for beta (15-25)Hz and gamma (40-70)Hz band oscillations, respectively. ConclusionTo date, this is the simplest model accounting for this phenomenon and could therefore be suited to study pathologies in which the two populations have specific roles, such as migraine.

Matching journals

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

1
Journal of Computational Neuroscience
29 papers in training set
Top 0.1%
18.0%
2
PLOS Computational Biology
1863 papers in training set
Top 2%
14.6%
3
Frontiers in Computational Neuroscience
60 papers in training set
Top 0.1%
9.5%
4
eneuro
439 papers in training set
Top 0.9%
6.1%
5
Biological Cybernetics
15 papers in training set
Top 0.1%
5.3%
50% of probability mass above
6
Neural Networks
35 papers in training set
Top 0.1%
4.7%
7
Frontiers in Neural Circuits
43 papers in training set
Top 0.1%
4.7%
8
Neural Computation
39 papers in training set
Top 0.2%
4.7%
9
Journal of Neurophysiology
302 papers in training set
Top 1%
3.1%
10
Scientific Reports
3612 papers in training set
Top 41%
2.6%
11
Bulletin of Mathematical Biology
92 papers in training set
Top 0.6%
2.4%
12
eLife
5828 papers in training set
Top 51%
1.6%
13
Neurocomputing
13 papers in training set
Top 0.2%
1.4%
14
Frontiers in Systems Neuroscience
22 papers in training set
Top 0.1%
1.3%
15
iScience
1154 papers in training set
Top 28%
1.1%
16
Network Neuroscience
126 papers in training set
Top 1%
1.1%
17
Physical Review E
112 papers in training set
Top 1%
1.1%
18
Frontiers in Neuroscience
256 papers in training set
Top 5%
1.0%
19
Cognitive Neurodynamics
18 papers in training set
Top 0.3%
0.9%
20
Cerebral Cortex
396 papers in training set
Top 5%
0.8%
21
Frontiers in Neuroinformatics
41 papers in training set
Top 0.7%
0.8%
22
Neuroscience
97 papers in training set
Top 3%
0.6%
23
Neuroinformatics
46 papers in training set
Top 1%
0.6%
24
Frontiers in Physiology
106 papers in training set
Top 4%
0.6%