PMID- 37378017
OWN - NLM
STAT- PubMed-not-MEDLINE
LR  - 20230701
IS  - 1662-4548 (Print)
IS  - 1662-453X (Electronic)
IS  - 1662-453X (Linking)
VI  - 17
DP  - 2023
TI  - Spike-frequency adaptation inhibits the pairwise spike correlation.
PG  - 1193930
LID - 10.3389/fnins.2023.1193930 [doi]
LID - 1193930
AB  - INTRODUCTION: The spike train output correlation with pairwise neurons determines 
      the neural population coding, which depends on the average firing rate of 
      individual neurons. Spike frequency adaptation (SFA), which serves as an 
      essential cellular encoding strategy, modulates the firing rates of individual 
      neurons. However, the mechanism by which the SFA modulates the output correlation 
      of the spike trains remains unclear. METHODS: We introduce a pairwise neuron 
      model that receives correlated inputs to generate spike trains, and the output 
      correlation is qualified using Pearson correlation coefficient. The SFA is 
      modeled using adaptation currents to examine its effect on the output 
      correlation. Moreover, we use dynamic thresholds to explore the effect of SFA on 
      output correlation. Furthermore, a simple phenomenological neuron model with a 
      threshold-linear transfer function is utilized to confirm the effect of SFA on 
      decreasing the output correlation. RESULTS: The results show that the adaptation 
      currents decreased the output correlation by reducing the firing rate of a single 
      neuron. At the onset of a correlated input, a transient process shows a decrease 
      in interspike intervals (ISIs), resulting in a temporary increase in the 
      correlation. When the adaptation current is sufficiently activated, the 
      correlation reached a steady state, and the ISIs are maintained at higher values. 
      The enhanced adaptation current achieved by increasing the adaptation conductance 
      further reduces the pairwise correlation. While the time and slide windows 
      influence the correlation, they make no difference in the effect of SFA on 
      decreasing the output correlation. Moreover, SFA simulated by dynamic thresholds 
      also decreases the output correlation. Furthermore, the simple phenomenological 
      neuron model with a threshold-linear transfer function confirms the effect of SFA 
      on decreasing the output correlation. The strength of the signal input and the 
      slope of the linear component of the transfer function, the latter of which can 
      be decreased by SFA, could together modulate the strength of the output 
      correlation. Stronger SFA will decrease the slope and hence decrease the output 
      correlation. CONCLUSIONS: The results reveal that the SFA reduces the output 
      correlation with pairwise neurons in the network by reducing the firing rate of 
      individual neurons. This study provides a link between cellular non-linear 
      mechanisms and network coding strategies.
CI  - Copyright (c) 2023 Wang, Deng, Gao, Wang and Tan.
FAU - Wang, Jixuan
AU  - Wang J
AD  - School of Electrical and Information Engineering, Tianjin University, Tianjin, 
      China.
FAU - Deng, Bin
AU  - Deng B
AD  - School of Electrical and Information Engineering, Tianjin University, Tianjin, 
      China.
FAU - Gao, Tianshi
AU  - Gao T
AD  - School of Electrical and Information Engineering, Tianjin University, Tianjin, 
      China.
FAU - Wang, Jiang
AU  - Wang J
AD  - School of Electrical and Information Engineering, Tianjin University, Tianjin, 
      China.
FAU - Tan, Hong
AU  - Tan H
AD  - Department of Pathology, The Second Xiangya Hospital, Central South University, 
      Changsha, Hunan, China.
LA  - eng
PT  - Journal Article
DEP - 20230612
PL  - Switzerland
TA  - Front Neurosci
JT  - Frontiers in neuroscience
JID - 101478481
PMC - PMC10291049
OTO - NOTNLM
OT  - adaptation conductance
OT  - correlation
OT  - firing rate
OT  - pairwise neurons
OT  - single neuron
OT  - spike frequency adaptation
COIS- The authors declare that the research was conducted in the absence of any 
      commercial or financial relationships that could be construed as a potential 
      conflict of interest.
EDAT- 2023/06/28 13:08
MHDA- 2023/06/28 13:09
PMCR- 2023/01/01
CRDT- 2023/06/28 09:26
PHST- 2023/03/27 00:00 [received]
PHST- 2023/05/16 00:00 [accepted]
PHST- 2023/06/28 13:09 [medline]
PHST- 2023/06/28 13:08 [pubmed]
PHST- 2023/06/28 09:26 [entrez]
PHST- 2023/01/01 00:00 [pmc-release]
AID - 10.3389/fnins.2023.1193930 [doi]
PST - epublish
SO  - Front Neurosci. 2023 Jun 12;17:1193930. doi: 10.3389/fnins.2023.1193930. 
      eCollection 2023.