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A Biophysical Model of Cortical Up and Down States: Excitatory-Inhibitory Balance and H-Current [chapter]

Zaneta Navratilova, Jean-Marc Fellous
2008 Lecture Notes in Computer Science  
During slow-wave sleep, cortical neurons oscillate between up and down states.  ...  We also show that the H-current, together with feed-forward inhibition can act as a gating mechanism for up state initiation.  ...  Methods We used the simulator NEURON to create a network model of biophysical neurons. Two types of neurons were simulated: excitatory, pyramidal-like neurons, and inhibitory GABAergic neurons.  ... 
doi:10.1007/978-3-540-88853-6_5 fatcat:ddmxtggtdrfytgazfgwxvwl4ta

Characterization of Synaptic Conductances and Integrative Properties During Electrically Induced EEG-Activated States in Neocortical Neurons In Vivo

Michael Rudolph, Joe Guillaume Pelletier, Denis Paré, Alain Destexhe
2005 Journal of Neurophysiology  
Under this anesthesia, cortical neurons display recurrent periods of activity ("up-states") similar to the wake state. Stimulating electrodes were placed in the PPT nucleus.  ...  These models indicate that, during EEG-activated states, neocortical neurons are in a high-conductance state consistent with a stochastic integrative mode.  ...  A: cortical neuron recorded in cat parietal cortex (areas 5-7) displays up-states (gray bars) and down-states of activity that were paralleled by slow waves in the EEG.  ... 
doi:10.1152/jn.01313.2004 pmid:16014785 fatcat:t3jj27vcxjehtk67cqndb2y3ku

Inhibitory engrams in perception and memory

Helen C. Barron, Tim P. Vogels, Timothy E. Behrens, Mani Ramaswami
2017 Proceedings of the National Academy of Sciences of the United States of America  
These homeostatic mechanisms ensure that the activity parameters of a neuron operate around a set point such that the spiking rates remain stable and a balance of depolarizing and hyperpolarizing currents  ...  In neural networks with balanced excitatory and inhibitory engrams, the release of innate responses and recall of associative memories can occur through focused disinhibition.  ...  At steady state, cortical neurons show closely matched depolarizing and hyperpolarizing currents (16, 17) .  ... 
doi:10.1073/pnas.1701812114 pmid:28611219 pmcid:PMC5495250 fatcat:l4b2jolp3bfu5o7bppcaa5yrw4

Network model of spontaneous activity exhibiting synchronous transitions between up and down states

Nestor Parga
2007 Frontiers in Neuroscience  
Model neurons of the integrate-and-fire type were extended by adding a nonlinear membrane current.  ...  The effect of sensory stimulation on network responses depends on whether the stimulus is applied during an up state or deeply inside a down state.  ...  ACKNOWLEDGMENTS We are extremely grateful to Rafael Yuste for essential insights and guidance in the construction and testing of this model. N.  ... 
doi:10.3389/neuro.01.1.1.004.2007 pmid:18982119 pmcid:PMC2570086 fatcat:t2lotw6y6bgajjzy7gi54cadaq

The mechanics of state-dependent neural correlations

Brent Doiron, Ashok Litwin-Kumar, Robert Rosenbaum, Gabriel K Ocker, Krešimir Josić
2016 Nature Neuroscience  
Similar to the firing rate of single neurons, correlated activity can be modulated by a number of factors, from changes in arousal and attentional state to learning and task engagement.  ...  We first examine these mechanisms in feedforward pathways and then show how the same approach can explain the modulation of correlations in recurrent networks.  ...  We consider a network of model excitatory (E) and inhibitory (I) spiking neurons with dense, recurrent connections between them.  ... 
doi:10.1038/nn.4242 pmid:26906505 pmcid:PMC5477791 fatcat:raxqjkbtxvesvcezst7yspge7u

UP-DOWN cortical dynamics reflect state transitions in a bistable network

Daniel Jercog, Alex Roxin, Peter Barthó, Artur Luczak, Albert Compte, Jaime de la Rocha
2017 eLife  
We built a network rate model with excitatory (E) and inhibitory (I) populations exhibiting a novel bistable regime between a quiescent and an inhibition-stabilized state of arbitrarily low rate.  ...  In the idling brain, neuronal circuits transition between periods of sustained firing (UP state) and quiescence (DOWN state), a pattern the mechanisms of which remain unclear.  ...  Acknowledgements We thank Zhe Chen for sharing the HMM based UP-DOWN detection related scripts, Narani van Laarhoven for sharing codes, Kenneth Harris, Gyuri Buzsá ki and the members of the Compte and  ... 
doi:10.7554/elife.22425 pmid:28826485 pmcid:PMC5582872 fatcat:bddub6cy3bdnpjmkadgj2oyqqm

A neuronal network model of macaque primary visual cortex (V1): Orientation selectivity and dynamics in the input layer 4Calpha

D. McLaughlin, R. Shapley, M. Shelley, D. J. Wielaard
2000 Proceedings of the National Academy of Sciences of the United States of America  
The model consists of a large number of integrate-and-fire conductance-based point neurons, both excitatory and inhibitory, which represent dynamics in a small patch of 4C␣-1 mm 2 in lateral area-which  ...  It is a network model of layer 4C␣ in macaque primary visual cortex (area V1).  ...  Sirovich, and H. Sompolinsky for careful readings of the manuscript.  ... 
doi:10.1073/pnas.110135097 pmid:10869422 pmcid:PMC16674 fatcat:ebkdx3rhvncytpvllwassf27zu

Pyramidal Neuron Conductance State Gates Spike-Timing-Dependent Plasticity

J. Y. Delgado, J. F. Gomez-Gonzalez, N. S. Desai
2010 Journal of Neuroscience  
Using a biophysically detailed computational model, we were not only able to replicate the conductance-dependent shunting of dendritic potentials, but show that synaptic background can truncate calcium  ...  Dual somatic and dendritic patch recordings suggested that the deficit in synaptic potentiation arose from shunting of dendritic EPSPs and APs.  ...  The terms at right are a leak current, a spike-triggered adaptation current, excitatory synaptic currents, and inhibitory synaptic currents.  ... 
doi:10.1523/jneurosci.3068-10.2010 pmid:21106811 pmcid:PMC6633743 fatcat:hxzuep45irf2np73lw6ktexv5i

Impact of GABAA and GABAB Inhibition on Cortical Dynamics and Perturbational Complexity during Synchronous and Desynchronized States

Almudena Barbero-Castillo, Pedro Mateos-Aparicio, Leonardo Dalla Porta, Alessandra Camassa, Lorena Perez-Mendez, Maria V. Sanchez-Vives
2021 Journal of Neuroscience  
Using a computational model, we explored a larger parameter space in this relationship and demonstrate a link between excitatory/inhibitory balance and the complexity expressed by the cortical network.  ...  And we do this departing from two extreme functional states: a highly synchronous, slow-wave state, and a desynchronized one that mimics wakefulness.  ...  inhibitory and excitatory synaptic currents.  ... 
doi:10.1523/jneurosci.1837-20.2021 fatcat:w2x6yu6xxzd3tadujxn44fm74e

Competition Between Cortical Ensembles Explains Pitch-Related Dynamics of Auditory Evoked Fields [chapter]

Alejandro Tabas, André Rupp, Emili Balaguer-Ballester
2016 Lecture Notes in Computer Science  
The model describes the N100m deflection as a transient state in cortical dynamics that starts with the incoming of a new subcortical input, holds during a winner-takes-all ensemble competition, and ends  ...  In this work, we introduce a realistic cortical model of pitch perception revealing, for the first time to our knowledge, the mechanisms responsible for the observed relationship between the N100m and  ...  The cortical model consists of a series of N = 300 cortical microcolumns described as sets of two neural ensembles: one excitatory H e n and one inhibitory H i n (see Figure 2 ).  ... 
doi:10.1007/978-3-319-44778-0_37 fatcat:q7bv5w6mhngofilg3vxiywrgl4

Cortical state and attention

Kenneth D. Harris, Alexander Thiele
2011 Nature Reviews Neuroscience  
This article will focus on two experimental approaches by which the control of cortical information processing has been investigated: the study of state-dependent cortical processing in rodents and attention  ...  We suggest that selective attention involves processes that are similar to state change, and that operate at a local columnar level to enhance the representation of otherwise non-salient features while  ...  Reynolds, H. Dringenberg  ... 
doi:10.1038/nrn3084 pmid:21829219 pmcid:PMC3324821 fatcat:akkvksuwgzfxhkixur53heczq4

Cross-Frequency Slow Oscillation–Spindle Coupling in a Biophysically Realistic Thalamocortical Neural Mass Model

Nikola Jajcay, Caglar Cakan, Klaus Obermayer
2022 Frontiers in Computational Neuroscience  
currents, and for different parameter regimes of the cortical node.  ...  UP and DOWN states, and (3) a high activity (UP) state with noise-induced, transient excursions into the low activity (DOWN) state.  ...  Note that the typical excitatory firing rate of the cortical node's UP state is up to 50-60 Hz. FIGURE 6 | 6 FIGURE 6 | Thalamic response to alternating cortical UP and DOWN states.  ... 
doi:10.3389/fncom.2022.769860 fatcat:mfogx3x33zfxzezljozbzzxfae

Parietal low beta rhythm provides a dynamical substrate for a working memory buffer

Alexandros Gelastopoulos, Miles A. Whittington, Nancy J. Kopell
2019 Proceedings of the National Academy of Sciences of the United States of America  
Here we present a biophysically detailed dynamical systems model for a WM buffer situated in the PC, making use of dynamical properties believed to be unique to this area.  ...  into a flexible and updatable representation of recent sensory inputs.  ...  A.G. and N.J.K. were supported by National Science Foundation grants DMS-1225647 and DMS-1514796. M.A.W. was supported by the Wellcome Trust.  ... 
doi:10.1073/pnas.1902305116 pmid:31371513 pmcid:PMC6697799 fatcat:7kvvgwxu4zh4vbgwkycotbk3lu

Analysis of ongoing dynamics in neural networks

Toru Yanagawa, Ken Mogi
2009 Neuroscience research  
We are grateful for two anonymous reviewers for their insightful comments on an earlier version of our paper.  ...  Acknowledgments We thank (in alphabetical order) Toru Aonishi, Koji Ito, Yoshihiro Miyake, Eizo Miyashita, Kiyohiko Nakamura, Fumihiko Taya, and Masayuki Yamamura for helpful discussions.  ...  Our analysis shows that up-states are sustained by the balance between excitatory and inhibitory inputs.  ... 
doi:10.1016/j.neures.2009.02.011 pmid:19428698 fatcat:upxpihfsuffefoiv5leqrzrqh4

Attention: Multiple types, brain resonances, psychological functions, and conscious states

Stephen Grossberg
2021 Journal of Integrative Neuroscience  
Laminar computing models show how attention is embodied within a canonical laminar neocortical circuit design that integrates bottom-up filtering, horizontal grouping, and top-down attentive matching.  ...  Adaptive resonances trigger learning of bottom-up recognition categories and top-down expectations that help to classify our experiences, and focus prototype attention upon the patterns of critical features  ...  a combination of bottom-up, horizontal, and top-down interactions.  ... 
doi:10.31083/j.jin.2021.01.406 pmid:33834707 fatcat:6rstihvu6jetvkzcxmlffovxtm
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