scholarly journals Discrete Neocortical Dynamics Predict Behavioral Categorization of Sounds

Neuron ◽  
2012 ◽  
Vol 76 (2) ◽  
pp. 435-449 ◽  
Author(s):  
Brice Bathellier ◽  
Lyubov Ushakova ◽  
Simon Rumpel
Keyword(s):  
Neuron ◽  
2009 ◽  
Vol 62 (2) ◽  
pp. 171-189 ◽  
Author(s):  
Bilal Haider ◽  
David A. McCormick
Keyword(s):  

Neuroscience ◽  
2018 ◽  
Vol 368 ◽  
pp. 57-69 ◽  
Author(s):  
Fritjof Helmchen ◽  
Ariel Gilad ◽  
Jerry L. Chen

2000 ◽  
Vol 23 (3) ◽  
pp. 371-398 ◽  
Author(s):  
Paul L. Nunez

A general conceptual framework for large-scale neocortical dynamics based on data from many laboratories is applied to a variety of experimental designs, spatial scales, and brain states. Partly distinct, but interacting local processes (e.g., neural networks) arise from functional segregation. Global processes arise from functional integration and can facilitate (top down) synchronous activity in remote cell groups that function simultaneously at several different spatial scales. Simultaneous local processes may help drive (bottom up) macroscopic global dynamics observed with electroencephalography (EEG) or magnetoencephalography (MEG).A local/global dynamic theory that is consistent with EEG data and the proposed conceptual framework is outlined. This theory is neutral about properties of neural networks embedded in macroscopic fields, but its global component makes several qualitative and semiquantitative predictions about EEG measures of traveling and standing wave phenomena. A more general “metatheory” suggests what large-scale quantitative theories of neocortical dynamics may be like when more accurate treatment of local and nonlinear effects is achieved.The theory describes the dynamics of excitatory and inhibitory synaptic action fields. EEG and MEG provide large-scale estimates of modulation of these synaptic fields around background levels. Brain states are determined by neuromodulatory control parameters. Purely local states are dominated by local feedback gains and rise and decay times of postsynaptic potentials. Dominant local frequencies vary with brain region. Other states are purely global, with moderate to high coherence over large distances. Multiple global mode frequencies arise from a combination of delays in corticocortical axons and neocortical boundary conditions. Global frequencies are identical in all cortical regions, but most states involve dynamic interactions between local networks and the global system. EEG frequencies may involve a “matching” of local resonant frequencies with one or more of the many, closely spaced global frequencies.


Author(s):  
Eros Quarta ◽  
Alessandro Scaglione ◽  
Jessica Lucchesi ◽  
Leonardo Sacconi ◽  
Anna Letizia Allegra Mascaro ◽  
...  

ABSTRACTReach-to-Grasp (RtG) is known to be dependent upon neocortical circuits and extensive research has provided insights into how selected neocortical areas contribute to control dexterous movements. Surprisingly, little infor-mation is available on the global neocortical computations underlying RtG in the mouse. Here, we characterized, employing fluorescence wide-field cal-cium imaging, the neocortex-wide dynamics from mice engaging in a RtG task. We demonstrate that, beyond canonical motor regions, several areas, such as the visual and the retrosplenial cortices, also increase their activ-ity levels during successful RtGs. Intriguingly, homologous regions across the ipsilateral hemisphere are also involved. Functional connectivity among areas increases transiently from rest to planning, and decreases during move-ment. Two anti-correlated neocortical networks emerged during movement. At variance, neural activity levels scale linearly with kinematics measures of successful RtGs in secondary motor areas. Our findings establish the coex-istence of distributed and localized neocortical dynamics for efficient control of complex movements.SIGNIFICANCE STATEMENTIn mammals, including humans, the cerebral cortex is known to be critical for the correct execution of dexterous movements. Despite the importance of the mouse for elucidating the neural circuitry for motor control, its neocortex-wide dynamics during RtG are largely unexplored. We used in-vivo fluores-cence microscopy to characterize the neural activity across the neocortex as mice performed a reach-to-grasp task. We show that for such complex movements, a large network of neocortical areas gets involved, while movement kinematics correlates with neural activity in secondary motor areas. These findings indicate the coexistence, at the mesoscale level, of distributed and localized neocortical dynamics for the execution of fine movements. This study offers a novel view on the neocortical correlates of motor control, with potential implications for neural repair.


1996 ◽  
Vol 19 (2) ◽  
pp. 305-306 ◽  
Author(s):  
Paul L. Nunez

AbstractMultiscale dynamics, linear approximations, global boundary conditions, experimental verification, and global influences on local cell assemblies are considered in the context of Wright & Liley's work. W&L provide a nice introduction to these issues and a reasonable simulation of intermediate scale dynamics, but the model does not adequately simulate combined local and global processes.


Author(s):  
Jack D. Cowan ◽  
Jeremy Neuman ◽  
Wim van Drongelen
Keyword(s):  

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