Hybrid Systems Neuroscience

Lopez, Eva Navarro; Çelikok, Utku; Şengör, Neslihan Serap; Hady, Ahmed El

doi:10.1016/b978-0-12-802452-2.00009-3

Cited by 9 publications

(7 citation statements)

References 69 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Recently, we have proposed a multi-level hybrid automaton model for the switching mechanism of the BG and the thalamus which includes the thalamus-to-prefrontal cortex subnetwork and is linked to some working memory processes (Navarro-López et al. 2016 ; Çelikok et al. 2016 ).…”

Section: Discussionmentioning

confidence: 99%

“…Second, the BG model can be integrated into a working memory model by completing the loop with the addition of the thalamus-to-cortex circuit. Recently, we have proposed a multi-level hybrid automaton model for the switching mechanism of the BG and the thalamus which includes the thalamus-to-prefrontal cortex subnetwork and is linked to some working memory processes (Navarro-López et al 2016;Ç elikok et al 2016). By merging these two strands of work, we may analyse cognitive and motor impairments…”

Section: Cognitive Neurodynamicsmentioning

confidence: 99%

“…The proposed model confirms the onset of different dynamical collective behaviours of the BG produced by different levels of DA, which, at the same time, are associated with different frequency bands of the neural oscillations generated in the BG and the thalamus. The importance of the oscillatory activity patterns to control brain network states and the switching mechanisms in different phases has already been established (Navarro-López et al 2016;Schmidt et al 2013;Torres et al 2015) for different brain processes. Our results represent a stepping stone to better understand the mechanisms behind the different frequency-band oscillations observed during BG functions.…”

Section: Introductionmentioning

confidence: 99%

“…The importance of the oscillatory activity patterns to control brain network states and the switching mechanisms in different phases has already been established (Navarro-López et al. 2016 ; Schmidt et al. 2013 ; Torres et al.…”

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

A dynamical model for the basal ganglia-thalamo-cortical oscillatory activity and its implications in Parkinson’s disease

2020

View full text Add to dashboard Cite

We propose to investigate brain electrophysiological alterations associated with Parkinson’s disease through a novel adaptive dynamical model of the network of the basal ganglia, the cortex and the thalamus. The model uniquely unifies the influence of dopamine in the regulation of the activity of all basal ganglia nuclei, the self-organised neuronal interdependent activity of basal ganglia-thalamo-cortical circuits and the generation of subcortical background oscillations. Variations in the amount of dopamine produced in the neurons of the substantia nigra pars compacta are key both in the onset of Parkinson’s disease and in the basal ganglia action selection. We model these dopamine-induced relationships, and Parkinsonian states are interpreted as spontaneous emergent behaviours associated with different rhythms of oscillatory activity patterns of the basal ganglia-thalamo-cortical network. These results are significant because: (1) the neural populations are built upon single-neuron models that have been robustly designed to have eletrophysiologically-realistic responses, and (2) our model distinctively links changes in the oscillatory activity in subcortical structures, dopamine levels in the basal ganglia and pathological synchronisation neuronal patterns compatible with Parkinsonian states, this still remains an open problem and is crucial to better understand the progression of the disease.

show abstract

Section: Discussionmentioning

confidence: 99%

Section: Cognitive Neurodynamicsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

A dynamical model for the basal ganglia-thalamo-cortical oscillatory activity and its implications in Parkinson’s disease

2020

View full text Add to dashboard Cite

show abstract

“…Therefore, the basal ganglia can be interpreted to have a "switching behaviour" which is modulated by dopamine [25], and the thalamus can be thought of as a translator of the message received from the basal ganglia and projected back to the cortex areas related to a specific working memory task [52]. Recently, we have proposed a multi-level hybrid automaton model for the switching mechanism of the basal ganglia and the thalamus linked to some working memory processes [43].…”

Section: Introductionmentioning

confidence: 99%

A computational model describing the interplay of basal ganglia and subcortical background oscillations during working memory processes

Çelikok¹,

Navarro-López²,

Şengör³

2016

Preprint

View full text Add to dashboard Cite

Working memory is responsible for the temporary manipulation and storage of information to support reasoning, learning and comprehension in the human brain. Background oscillations from subcortical structures may drive a gating or switching mechanism during working memory computations, and different frequency bands may be associated with different processes while working memory tasks are performed. There are three well-known relationships between working memory processes and specific frequency bands of subcortical oscillations, namely: the storage of new information which correlates positively with beta/gamma-frequency band oscillations, the maintenance of information while ignoring irrelevant stimulation which is directly linked to theta-frequency band oscillations, and the clearance of memory which is associated with alpha-frequency band oscillations. Although these relationships between working memory processes and subcortical background oscillations have been observed, a full explanation of these phenomena is still needed. This paper will aid understanding of the working memory's operation and phase switching by proposing a novel and biophysical realistic mathematical-computational framework which unifies the generation of subcortical background oscillations, the role of basal ganglia-thalamo-cortical circuits and the influence of dopamine in the selection of working memory operations and phases: this has never been attempted before.

show abstract

Realizing Medium Spiny Neurons with a Simple Neuron Model

Çelikok

Şengör

2016

Artificial Neural Networks and Machine Learning – ICANN 2016

View full text Add to dashboard Cite

Hybrid Systems Neuroscience

Cited by 9 publications

References 69 publications

A dynamical model for the basal ganglia-thalamo-cortical oscillatory activity and its implications in Parkinson’s disease

A dynamical model for the basal ganglia-thalamo-cortical oscillatory activity and its implications in Parkinson’s disease

A computational model describing the interplay of basal ganglia and subcortical background oscillations during working memory processes

Realizing Medium Spiny Neurons with a Simple Neuron Model

Contact Info

Product

Resources

About