Down States | List of Frontiers open access articles

Original Research

Published on 15 Oct 2007

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

Nestor Parga
Larry F Abbott

Frontiers in Neuroscience

doi 10.3389/neuro.01.1.1.004.2007

8,589 views
102 citations

Opinion

Published on 24 Sep 2015

Cell-type specific modulation of neocortical UP and DOWN states

in Cellular Neurophysiology

Srikanth Ramaswamy
Eilif Benjamin Muller

Frontiers in Cellular Neuroscience

doi 10.3389/fncel.2015.00370

4,351 views
1 citation

Original Research

Published on 10 Sep 2024

Criticality and universality in neuronal cultures during “up” and “down” states

Mohammad Yaghoubi
Javier G. Orlandi
Michael A. Colicos
Jörn Davidsen

Frontiers in Neural Circuits

doi 10.3389/fncir.2024.1456558

2,966 views
3 citations

Brief Research Report

Published on 09 Feb 2021

Up and Down States During Slow Oscillations in Slow-Wave Sleep and Different Levels of Anesthesia

Melody Torao-Angosto
Arnau Manasanch
Maurizio Mattia
Maria V. Sanchez-Vives

Frontiers in Systems Neuroscience

doi 10.3389/fnsys.2021.609645

13,882 views
63 citations

Original Research

Published on 19 Aug 2021

Amphetamine Promotes Cortical Up State in Part Via Dopamine Receptors

in Neuropharmacology

Guofang Shen
Wei-Xing Shi

Frontiers in Pharmacology

doi 10.3389/fphar.2021.728729

5,673 views
2 citations

Review

Published on 08 May 2020

Up and Down States and Memory Consolidation Across Somatosensory, Entorhinal, and Hippocampal Cortices

John J. Tukker
Prateep Beed
Dietmar Schmitz
Matthew E. Larkum
Robert N. S. Sachdev

Frontiers in Systems Neuroscience

doi 10.3389/fnsys.2020.00022

21,166 views
31 citations

Original Research

Published on 19 May 2014

Alternation of up and down states at a dynamical phase-transition of a neural network with spatiotemporal attractors

Silvia Scarpetta
Antonio de Candia

Frontiers in Systems Neuroscience

doi 10.3389/fnsys.2014.00088

6,731 views
36 citations

Original Research

Published on 15 May 2017

A Model of Fast Hebbian Spike Latency Normalization

Hafsteinn Einarsson
Marcelo M. Gauy
Johannes Lengler
Angelika Steger

Frontiers in Computational Neuroscience

doi 10.3389/fncom.2017.00033

6,689 views
8 citations

Review

Published on 05 Apr 2013

Emerging phenomena in neural networks with dynamic synapses and their computational implications

Joaquin J. Torres
Hilbert J. Kappen

Frontiers in Computational Neuroscience

doi 10.3389/fncom.2013.00030

8,502 views
20 citations

Original Research

Published on 02 Nov 2017

Acetylcholine Neuromodulation in Normal and Abnormal Learning and Memory: Vigilance Control in Waking, Sleep, Autism, Amnesia and Alzheimer’s Disease

Stephen Grossberg

Frontiers in Neural Circuits

doi 10.3389/fncir.2017.00082

17,400 views
48 citations

Original Research

Published on 27 Aug 2021

The Flow of Axonal Information Among Hippocampal Subregions: 1. Feed-Forward and Feedback Network Spatial Dynamics Underpinning Emergent Information Processing

Yash S. Vakilna
William C. Tang
Bruce C. Wheeler
Gregory J. Brewer

Frontiers in Neural Circuits

doi 10.3389/fncir.2021.660837

7,541 views
23 citations

Original Research

Published on 28 Aug 2012

Synaptic depression and slow oscillatory activity in a biophysical network model of the cerebral cortex

José Manuel Benita
Antoni Guillamon
Gustavo Deco
Maria V. (Mavi) Sanchez-Vives

Frontiers in Computational Neuroscience

doi 10.3389/fncom.2012.00064

11,123 views
41 citations

Original Research

Published on 29 Nov 2018

Quantification of Signal-to-Noise Ratio in Cerebral Cortex Recordings Using Flexible MEAs With Co-localized Platinum Black, Carbon Nanotubes, and Gold Electrodes

in Neural Technology

Alex Suarez-Perez
Gemma Gabriel
Beatriz Rebollo
Xavi Illa
Anton Guimerà-Brunet
Javier Hernández-Ferrer
Maria Teresa Martínez
Rosa Villa
Maria V. Sanchez-Vives

Frontiers in Neuroscience

doi 10.3389/fnins.2018.00862

34,084 views
54 citations

Original Research

Published on 06 May 2022

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

Nikola Jajcay
Caglar Cakan
Klaus Obermayer

Frontiers in Computational Neuroscience

doi 10.3389/fncom.2022.769860

7,045 views
6 citations

Original Research

Published on 31 May 2017

Slow and Fast Neocortical Oscillations in the Senescence-Accelerated Mouse Model SAMP8

in Alzheimer's Disease and Related Dementias

Patricia Castano-Prat
Maria Perez-Zabalza
Lorena Perez-Mendez
Rosa M. Escorihuela
Maria V. Sanchez-Vives

Frontiers in Aging Neuroscience

doi 10.3389/fnagi.2017.00141

7,668 views
26 citations

Original Research

Published on 11 Dec 2014

Spin-glass model predicts metastable brain states that diminish in anesthesia

Anthony G. Hudetz
Colin J. Humphries
Jeffrey R. Binder

Frontiers in Systems Neuroscience

doi 10.3389/fnsys.2014.00234

9,208 views
50 citations

Articles

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

Cell-type specific modulation of neocortical UP and DOWN states

Criticality and universality in neuronal cultures during “up” and “down” states

Up and Down States During Slow Oscillations in Slow-Wave Sleep and Different Levels of Anesthesia

Amphetamine Promotes Cortical Up State in Part Via Dopamine Receptors

Up and Down States and Memory Consolidation Across Somatosensory, Entorhinal, and Hippocampal Cortices

Alternation of up and down states at a dynamical phase-transition of a neural network with spatiotemporal attractors

A Model of Fast Hebbian Spike Latency Normalization

Emerging phenomena in neural networks with dynamic synapses and their computational implications

Acetylcholine Neuromodulation in Normal and Abnormal Learning and Memory: Vigilance Control in Waking, Sleep, Autism, Amnesia and Alzheimer’s Disease

The Flow of Axonal Information Among Hippocampal Subregions: 1. Feed-Forward and Feedback Network Spatial Dynamics Underpinning Emergent Information Processing

Synaptic depression and slow oscillatory activity in a biophysical network model of the cerebral cortex

Quantification of Signal-to-Noise Ratio in Cerebral Cortex Recordings Using Flexible MEAs With Co-localized Platinum Black, Carbon Nanotubes, and Gold Electrodes

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

Slow and Fast Neocortical Oscillations in the Senescence-Accelerated Mouse Model SAMP8

Spin-glass model predicts metastable brain states that diminish in anesthesia