Nonlinear Maps for Design of Discrete-Time Models of Neuronal Network Dynamics

2016 ◽  
Author(s):  
Nikolai Rulkov
Keyword(s):  
Discrete Time ◽  
Neuronal Network ◽  
Network Dynamics ◽  
Neuronal Network Dynamics ◽  
Nonlinear Maps ◽  
Discrete Time Models

Data-Driven Reconstruction and Encoding of Sparse Stimuli across Convergent Sensory Layers from Downstream Neuronal Network Dynamics

2021 ◽  
Vol 20 (4) ◽  
pp. 2602-2629
Author(s):  
Victor J. Barranca ◽  
Yolanda Hu ◽  
Zoe Porterfield ◽  
Samuel Rothstein ◽  
Alex Xuan
Keyword(s):  
Neuronal Network ◽  
Network Dynamics ◽  
Data Driven ◽  
Neuronal Network Dynamics

scholarly journals Investigating local and long-range neuronal network dynamics by simultaneous optogenetics, reverse microdialysis and silicon probe recordings in vivo

2014 ◽  
Vol 235 ◽  
pp. 83-91 ◽  
Author(s):  
Hannah Taylor ◽  
Joscha T. Schmiedt ◽  
Nihan Çarçak ◽  
Filiz Onat ◽  
Giuseppe Di Giovanni ◽  
...  
Keyword(s):  
Long Range ◽  
Neuronal Network ◽  
Network Dynamics ◽  
Neuronal Network Dynamics ◽  
Reverse Microdialysis

scholarly journals Synaptic Plasticity and Oscillations in Alzheimer’s Disease: A Complex Picture of a Multifaceted Disease

2021 ◽  
Vol 14 ◽  
Author(s):  
Yuniesky Andrade-Talavera ◽  
Antonio Rodríguez-Moreno
Keyword(s):  
Alzheimer’S Disease ◽  
Alzheimer's Disease ◽  
Cognitive Impairment ◽  
Neuronal Network ◽  
Brain Plasticity ◽  
Network Dynamics ◽  
Long Term Potentiation ◽  
High Frequency Stimulation ◽  
Neuronal Network Dynamics

Brain plasticity is widely accepted as the core neurophysiological basis of memory and is generally defined by activity-dependent changes in synaptic efficacy, such as long-term potentiation (LTP) and long-term depression (LTD). By using diverse induction protocols like high-frequency stimulation (HFS) or spike-timing dependent plasticity (STDP), such crucial cognition-relevant plastic processes are shown to be impaired in Alzheimer’s disease (AD). In AD, the severity of the cognitive impairment also correlates with the level of disruption of neuronal network dynamics. Currently under debate, the named amyloid hypothesis points to amyloid-beta peptide 1–42 (Aβ42) as the trigger of the functional deviations underlying cognitive impairment in AD. However, there are missing functional mechanistic data that comprehensively dissect the early subtle changes that lead to synaptic dysfunction and subsequent neuronal network collapse in AD. The convergence of the study of both, mechanisms underlying brain plasticity, and neuronal network dynamics, may represent the most efficient approach to address the early triggering and aberrant mechanisms underlying the progressive clinical cognitive impairment in AD. Here we comment on the emerging integrative roles of brain plasticity and network oscillations in AD research and on the future perspectives of research in this field.

scholarly journals Imagined gait modulates neuronal network dynamics in the human pedunculopontine nucleus

2014 ◽  
Vol 17 (3) ◽  
pp. 449-454 ◽  
Author(s):  
Timothy L Tattersall ◽  
Peter G Stratton ◽  
Terry J Coyne ◽  
Raymond Cook ◽  
Paul Silberstein ◽  
...  
Keyword(s):  
Neuronal Network ◽  
Network Dynamics ◽  
Pedunculopontine Nucleus ◽  
Neuronal Network Dynamics

scholarly journals The role of dimensionality in neuronal network dynamics

2016 ◽  
Vol 6 (1) ◽  
Author(s):  
Francesco Paolo Ulloa Severino ◽  
Jelena Ban ◽  
Qin Song ◽  
Mingliang Tang ◽  
Ginestra Bianconi ◽  
...  
Keyword(s):  
Neuronal Network ◽  
Network Dynamics ◽  
Neuronal Network Dynamics
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