scholarly journals Bifurcation of the neuronal population dynamics of the modified theta model: Transition to macroscopic gamma oscillation

2021 ◽  
Vol 416 ◽  
pp. 132789
Author(s):  
Kiyoshi Kotani ◽  
Akihiko Akao ◽  
Hayato Chiba
Keyword(s):  
Population Dynamics ◽  
Neuronal Population ◽  
Gamma Oscillation ◽  
Model Transition

scholarly journals Proteolytic Remodeling of Perineuronal Nets: Effects on Synaptic Plasticity and Neuronal Population Dynamics

2018 ◽  
Vol 2018 ◽  
pp. 1-13 ◽  
Author(s):  
P. Lorenzo Bozzelli ◽  
Seham Alaiyed ◽  
Eunyoung Kim ◽  
Sonia Villapol ◽  
Katherine Conant
Keyword(s):  
Population Dynamics ◽  
Synaptic Plasticity ◽  
Synaptic Input ◽  
Neuronal Plasticity ◽  
Population Level ◽  
Gamma Oscillations ◽  
Brain Regions ◽  
Neuronal Population ◽  
Perineuronal Nets ◽  
Perineuronal Net

The perineuronal net (PNN) represents a lattice-like structure that is prominently expressed along the soma and proximal dendrites of parvalbumin- (PV-) positive interneurons in varied brain regions including the cortex and hippocampus. It is thus apposed to sites at which PV neurons receive synaptic input. Emerging evidence suggests that changes in PNN integrity may affect glutamatergic input to PV interneurons, a population that is critical for the expression of synchronous neuronal population discharges that occur with gamma oscillations and sharp-wave ripples. The present review is focused on the composition of PNNs, posttranslation modulation of PNN components by sulfation and proteolysis, PNN alterations in disease, and potential effects of PNN remodeling on neuronal plasticity at the single-cell and population level.

scholarly journals The Influence of Synaptic Weight Distribution on Neuronal Population Dynamics

2013 ◽  
Vol 9 (10) ◽  
pp. e1003248 ◽  
Author(s):  
Ramakrishnan Iyer ◽  
Vilas Menon ◽  
Michael Buice ◽  
Christof Koch ◽  
Stefan Mihalas
Keyword(s):  
Population Dynamics ◽  
Weight Distribution ◽  
Synaptic Weight ◽  
Neuronal Population

scholarly journals Primary motor cortex activity traces distinct trajectories of population dynamics during spontaneous facial motor sequences in mice

2021 ◽  
Author(s):  
Juan Carlos Boffi ◽  
Tristan Wiessalla ◽  
Robert Prevedel
Keyword(s):  
Population Dynamics ◽  
Motor Cortex ◽  
Primary Motor Cortex ◽  
Neuronal Population ◽  
Future Research ◽  
Sequencing Analysis ◽  
Population Activity ◽  
Neuronal Populations ◽  
Custom Made ◽  
Facial Area

AbstractWe explore the link between on-going neuronal activity at primary motor cortex (M1) and face movement in awake mice. By combining custom-made behavioral sequencing analysis and fast volumetric Ca2+-imaging, we simultaneously tracked M1 population activity during many different facial motor sequences. We show that a facial area of M1 displays distinct trajectories of neuronal population dynamics across different spontaneous facial motor sequences, suggesting an underlying population dynamics code.Significance statementHow our brain controls a seemingly limitless diversity of body movements remains largely unknown. Recent research brings new light into this subject by showing that neuronal populations at the primary motor cortex display different dynamics during forelimb reaching movements versus grasping, which suggests that different motor sequences could be associated with distinct motor cortex population dynamics. To explore this possibility, we designed an experimental paradigm for simultaneously tracking the activity of neuronal populations in motor cortex across many different motor sequences. Our results support the concept that distinct population dynamics encode different motor sequences, bringing new insight into the role of motor cortex in sculpting behavior while opening new avenues for future research.

scholarly journals Increased matrix metalloproteinase levels and perineuronal net proteolysis in the HIV-infected brain; relevance to altered neuronal population dynamics

2020 ◽  
Vol 323 ◽  
pp. 113077 ◽  
Author(s):  
P. Lorenzo Bozzelli ◽  
Adam Caccavano ◽  
Valeria Avdoshina ◽  
Italo Mocchetti ◽  
Jian-Young Wu ◽  
...  
Keyword(s):  
Population Dynamics ◽  
Matrix Metalloproteinase ◽  
Neuronal Population ◽  
Perineuronal Net

scholarly journals A comparison of neuronal population dynamics measured with calcium imaging and electrophysiology

2020 ◽  
Vol 16 (9) ◽  
pp. e1008198 ◽  
Author(s):  
Ziqiang Wei ◽  
Bei-Jung Lin ◽  
Tsai-Wen Chen ◽  
Kayvon Daie ◽  
Karel Svoboda ◽  
...  
Keyword(s):  
Population Dynamics ◽  
Calcium Imaging ◽  
Neuronal Population

scholarly journals A computational toolbox and step-by-step tutorial for the analysis of neuronal population dynamics in calcium imaging data

2017 ◽  
Author(s):  
Sebastián A. Romano ◽  
Verónica Pérez-Schuster ◽  
Adrien Jouary ◽  
Alessia Candeo ◽  
Jonathan Boulanger-Weill ◽  
...  
Keyword(s):  
Population Dynamics ◽  
Calcium Imaging ◽  
Single Neuron ◽  
Neuronal Population ◽  
Population Coding ◽  
Imaging Data ◽  
Neuronal Responses ◽  
Population Activity ◽  
The Brain

The development of new imaging and optogenetics techniques to study the dynamics of large neuronal circuits is generating datasets of unprecedented volume and complexity, demanding the development of appropriate analysis tools. We present a tutorial for the use of a comprehensive computational toolbox for the analysis of neuronal population activity imaging. It consists of tools for image pre-processing and segmentation, estimation of significant single-neuron single-trial signals, mapping event-related neuronal responses, detection of activity-correlated neuronal clusters, exploration of population dynamics, and analysis of clusters’ features against surrogate control datasets. They are integrated in a modular and versatile processing pipeline, adaptable to different needs. The clustering module is capable of detecting flexible, dynamically activated neuronal assemblies, consistent with the distributed population coding of the brain. We demonstrate the suitability of the toolbox for a variety of calcium imaging datasets, and provide a case study to explain its implementation.

Modelling the Effects of Accelerated Development and Reduced Fecundity on the Population Dynamics of Aquatic Diptera

1987 ◽  
Vol 44 (10) ◽  
pp. 1737-1742 ◽  
Author(s):  
Robert S. Rempel ◽  
John C. H. Carter
Keyword(s):  
Population Dynamics ◽  
Population Growth ◽  
Joint Probability ◽  
Development Rate ◽  
Transition Elements ◽  
Stream Channels ◽  
Intrinsic Capacity ◽  
Faster Development ◽  
Model Transition ◽  
Stochastic Functions

The population dynamics of aquatic insects were simulated using a stage-projection matrix model. Transition elements, some of which were specified by nonlinear and stochastic functions, represent the joint probability of development and survivorship from time t to t + 1. For the simulation, stage-specific survivorship was kept unchanged and only development rate and fecundity were altered. The simulation predicts that the intrinsic capacity for population growth (rm) and equilibrium levels of abundance (K) should increase with both faster development rate and higher fecundity, independent of stage-specific mortality. As a test of the effect of accelerated development on population growth, abundance of insects emerging from experimental stream channels was compared in ambient temperature and heated channels. Development was faster in the heated channels, and abundance was greater for 9 of the 11 species compared. These results indicate that changes in development rate, in addition to changes in fecundity, must be considered when predicting the population effects of an altered thermal regime.

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