Back

Thermodynamic Model Of Mesoscale Neural Field Dynamics: Derivation And Linear Analysis

Qin, Y.; Maurer, A.; Sheremet, A.

2020-06-29 neuroscience
10.1101/2020.06.25.172288 bioRxiv
Show abstract

Motivated by previous research suggesting that mesoscopic collective activity has the defining characteristics of a turbulent system, we postulate a thermodynamic model based on the fundamental assumption that the activity of a neuron is characterized by two distinct stages: a sub-threshold stage, described by the value of mean membrane potential, and a transitional stage, corresponding to the firing event. We therefore distinguish between two types of energy: the potential energy released during a spike, and the internal kinetic energy that triggers a spike. Formalizing these assumptions produces a system of integro-differential equations that generalizes existing models [Wilson and Cowan, 1973, Amari, 1977], with the advantage of providing explicit equations for the evolution of state variables. The linear analysis of the system shows that it supports single- or triple-point equilibria, with the refractoriness property playing a crucial role in the generation of oscillatory behavior. In single-type (excitatory) systems this derives from the natural refractory state of a neuron, producing "refractory oscillations" with periods on the order of the neuron refractory period. In dual-type systems, the inhibitory component can provide this functionality even if neuron refractory period is ignored, supporting mesoscopic-scale oscillations at much lower activity levels. Assuming that the model has any relevance for the interpretation of LFP measurements, it provides insight into mesocale dynamics. As an external forcing, theta may play a major role in modulating key parameters of the system: internal energy and excitability (refractoriness) levels, and thus in maintaining equilibrium states, and providing the increased activity necessary to sustain mesoscopic collective action. Linear analysis suggest that gamma oscillations are associated with the theta trough because it corresponds to higher levels of forced activity that decreases the stability of the equilibrium state, facilitating mesoscopic oscillations.

Matching journals

The top 6 journals account for 50% of the predicted probability mass.

1
Journal of Computational Neuroscience
29 papers in training set
Top 0.1%
12.0%
2
PLOS Computational Biology
1863 papers in training set
Top 3%
10.7%
3
Physical Review E
112 papers in training set
Top 0.1%
7.9%
4
Journal of Mathematical Biology
40 papers in training set
Top 0.1%
7.9%
5
Biological Cybernetics
15 papers in training set
Top 0.1%
6.8%
6
Neural Computation
39 papers in training set
Top 0.1%
5.5%
50% of probability mass above
7
Frontiers in Computational Neuroscience
60 papers in training set
Top 0.3%
4.1%
8
Scientific Reports
3612 papers in training set
Top 40%
2.7%
9
eneuro
439 papers in training set
Top 3%
2.7%
10
Bulletin of Mathematical Biology
92 papers in training set
Top 0.6%
2.4%
11
Journal of Neurophysiology
302 papers in training set
Top 2%
2.4%
12
Mathematical Biosciences
49 papers in training set
Top 0.4%
2.4%
13
Physical Review Research
49 papers in training set
Top 0.4%
2.1%
14
PLOS ONE
5266 papers in training set
Top 48%
1.7%
15
Journal of The Royal Society Interface
235 papers in training set
Top 2%
1.7%
16
Frontiers in Systems Neuroscience
22 papers in training set
Top 0.1%
1.7%
17
eLife
5828 papers in training set
Top 52%
1.5%
18
Brain Topography
29 papers in training set
Top 0.3%
1.3%
19
Frontiers in Neural Circuits
43 papers in training set
Top 0.5%
1.1%
20
Nonlinear Dynamics
10 papers in training set
Top 0.3%
1.1%
21
Neural Networks
35 papers in training set
Top 0.6%
0.9%
22
Chaos, Solitons & Fractals
32 papers in training set
Top 0.9%
0.9%
23
Journal of Theoretical Biology
162 papers in training set
Top 2%
0.9%
24
Physical Review Letters
47 papers in training set
Top 0.4%
0.9%
25
Proceedings of the Royal Society A: Mathematical, Physical and Engineering Sciences
15 papers in training set
Top 0.3%
0.9%
26
Royal Society Open Science
214 papers in training set
Top 7%
0.6%
27
European Journal of Neuroscience
189 papers in training set
Top 4%
0.6%
28
Entropy
21 papers in training set
Top 0.4%
0.6%
29
Cognitive Neurodynamics
18 papers in training set
Top 0.5%
0.6%