scholarly journals Understanding the relationships between spike rate and delta/gamma frequency bands of LFPs and EEGs using a local cortical network model

NeuroImage ◽  
2010 ◽  
Vol 52 (3) ◽  
pp. 956-972 ◽  
Author(s):  
Alberto Mazzoni ◽  
Kevin Whittingstall ◽  
Nicolas Brunel ◽  
Nikos K Logothetis ◽  
Stefano Panzeri
Keyword(s):  
Network Model ◽  
Spike Rate ◽  
Cortical Network ◽  
Frequency Bands ◽  
Gamma Frequency

Gamma frequency synchronization in a local cortical network model

2004 ◽  
Vol 58-60 ◽  
pp. 173-178 ◽  
Author(s):  
Masaki Nomura ◽  
Toshio Aoyagi ◽  
Tomoki Fukai
Keyword(s):  
Network Model ◽  
Cortical Network ◽  
Frequency Synchronization ◽  
Gamma Frequency

scholarly journals Statistical Comparison of Spike Responses to Natural Stimuli in Monkey Area V1 With Simulated Responses of a Detailed Laminar Network Model for a Patch of V1

2011 ◽  
Vol 105 (2) ◽  
pp. 757-778 ◽  
Author(s):  
Malte J. Rasch ◽  
Klaus Schuch ◽  
Nikos K. Logothetis ◽  
Wolfgang Maass
Keyword(s):  
Network Model ◽  
Network Models ◽  
Cortical Network ◽  
Inhibitory Neurons ◽  
Sensory Stimuli ◽  
Natural Stimuli ◽  
Cortical Areas ◽  
Model Response ◽  
Spiking Activity

A major goal of computational neuroscience is the creation of computer models for cortical areas whose response to sensory stimuli resembles that of cortical areas in vivo in important aspects. It is seldom considered whether the simulated spiking activity is realistic (in a statistical sense) in response to natural stimuli. Because certain statistical properties of spike responses were suggested to facilitate computations in the cortex, acquiring a realistic firing regimen in cortical network models might be a prerequisite for analyzing their computational functions. We present a characterization and comparison of the statistical response properties of the primary visual cortex (V1) in vivo and in silico in response to natural stimuli. We recorded from multiple electrodes in area V1 of 4 macaque monkeys and developed a large state-of-the-art network model for a 5 × 5-mm patch of V1 composed of 35,000 neurons and 3.9 million synapses that integrates previously published anatomical and physiological details. By quantitative comparison of the model response to the “statistical fingerprint” of responses in vivo, we find that our model for a patch of V1 responds to the same movie in a way which matches the statistical structure of the recorded data surprisingly well. The deviation between the firing regimen of the model and the in vivo data are on the same level as deviations among monkeys and sessions. This suggests that, despite strong simplifications and abstractions of cortical network models, they are nevertheless capable of generating realistic spiking activity. To reach a realistic firing state, it was not only necessary to include both N -methyl-d-aspartate and GABAB synaptic conductances in our model, but also to markedly increase the strength of excitatory synapses onto inhibitory neurons (>2-fold) in comparison to literature values, hinting at the importance to carefully adjust the effect of inhibition for achieving realistic dynamics in current network models.

scholarly journals Inter-synaptic learning of combination rules in a cortical network model

2014 ◽  
Vol 5 ◽  
Author(s):  
Frédéric Lavigne ◽  
Francis Avnaïm ◽  
Laurent Dumercy
Keyword(s):  
Network Model ◽  
Cortical Network ◽  
Combination Rules ◽  
Synaptic Learning

scholarly journals Theta- and gamma-band oscillatory uncoupling in the macaque hippocampus

2022 ◽  
Author(s):  
Saman Abbaspoor ◽  
Ahmed Hussin ◽  
Kari L Hoffman
Keyword(s):  
Low Frequency ◽  
Temporal Coding ◽  
Theta Oscillations ◽  
Low Frequencies ◽  
Frequency Effects ◽  
Frequency Bands ◽  
Sharp Wave ◽  
Gamma Frequency ◽  
Active Exploration ◽  
Field Coherence

Nested hippocampal oscillations in the rodent gives rise to temporal coding that may underlie learning, memory, and decision making. Theta/gamma coupling in rodent CA1 occurs during exploration and sharp-wave ripples during quiescence. Whether these oscillatory regimes extend to primates is less clear. We therefore sought to identify correspondences in frequency bands, nesting, and behavioral coupling taken from macaque hippocampus. We found that, in contrast to the rodent, theta and gamma frequency bands in macaque CA1 were segregated by behavioral states. Beta/gamma (15-70Hz) had greater power during visual search while theta (7-10 Hz) dominated during quiescence. Moreover, delta/theta (3-8 Hz) amplitude was strongest when beta2/slow gamma (20-35 Hz) amplitude was weakest, though the low frequencies coupled with higher, ripple frequencies (60-150 Hz). The distribution of spike-field coherence revealed three peaks matching the 3-10 Hz, 20-30 Hz and 60-150 Hz bands; however, the low frequency effects were primarily due to sharp-wave ripples. Accordingly, no intrinsic theta spiking rhythmicity was apparent. These results support a role for beta2/slow gamma modulation in CA1 during active exploration in the primate that is decoupled from theta oscillations. These findings diverge from the rodent oscillatory canon and call for a shift in focus and frequency when considering the primate hippocampus.

scholarly journals Heritability of Magnetoencephalography Phenotypes Among Patients With Genetic Generalized Epilepsy and Their Siblings

Neurology ◽  
2021 ◽  
pp. 10.1212/WNL.0000000000012144
Author(s):  
Christina Stier ◽  
Adham Elshahabi ◽  
Yiwen Li Hegner ◽  
Raviteja Kotikalapudi ◽  
Justus Marquetand ◽  
...  
Keyword(s):  
Functional Connectivity ◽  
Age Of Onset ◽  
Subcortical Structures ◽  
Beta Band ◽  
Cross Sectional ◽  
Frequency Bands ◽  
Gamma Frequency ◽  
Epileptiform Discharges ◽  
Healthy Siblings ◽  
Generalized Epilepsy

ObjectiveTo assess whether neuronal signals in patients with genetic generalized epilepsy (GGE) are heritable, we examined magnetoencephalography (MEG) resting-state recordings in patients and their healthy siblings.MethodsIn a prospective, cross-sectional design, we investigated source-reconstructed power and functional connectivity in patients, siblings and controls. We analyzed 5 minutes of cleaned and awake data without epileptiform discharges in six frequency bands (1-40 Hz). We further calculated intraclass correlations (ICC) to estimate heritability for the imaging patterns within families.ResultsCompared with controls (n = 45), patients with GGE (n = 25) showed widespread increased functional connectivity (theta to gamma frequency bands) and power (delta to gamma frequency bands) across the spectrum. Siblings (n = 18) fell between the levels of patients and controls. Heritability of the imaging metrics was observed in regions, where patients strongly differed from controls, mainly in beta frequencies, but also for delta and theta power. Network connectivity in GGE was heritable in frontal, central and inferior parietal brain areas and power in central, temporo-parietal, and subcortical structures. Presence of generalized spike-wave activity during recordings and medication were associated with the network patterns, whereas other clinical factors such as age of onset, disease duration or seizure control were not.ConclusionMetrics of brain oscillations are well suited to characterize GGE and likely relate to genetic factors rather than the active disease or treatment. High power and connectivity levels co-segregated in patients with GGE and healthy siblings, predominantly in the beta band, representing an endophenotype of GGE.

A Cortical Network Model for Early Vision Processing

1989 ◽  
pp. 139-148
Author(s):  
P. Møller ◽  
M. Nylén ◽  
J. A. Hertz
Keyword(s):  
Network Model ◽  
Cortical Network ◽  
Early Vision ◽  
Vision Processing
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