Show/Hide Menu
Hide/Show Apps
Logout
Türkçe
Türkçe
Search
Search
Login
Login
OpenMETU
OpenMETU
About
About
Open Science Policy
Open Science Policy
Open Access Guideline
Open Access Guideline
Postgraduate Thesis Guideline
Postgraduate Thesis Guideline
Communities & Collections
Communities & Collections
Help
Help
Frequently Asked Questions
Frequently Asked Questions
Guides
Guides
Thesis submission
Thesis submission
MS without thesis term project submission
MS without thesis term project submission
Publication submission with DOI
Publication submission with DOI
Publication submission
Publication submission
Supporting Information
Supporting Information
General Information
General Information
Copyright, Embargo and License
Copyright, Embargo and License
Contact us
Contact us
A computational model to investigate the effect of dopamine on neural synchronization in striatum
Date
2015-09-28
Author
Elibol, Rahmi
Şengör, Neslihan Serap
Metadata
Show full item record
This work is licensed under a
Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License
.
Item Usage Stats
162
views
0
downloads
Cite This
© 2015 IEEE.Synchronous behavior of neural populations has been related to cognitive processes as attention, learning and has been considered as hallmarks of neurological disorders. The computational models of neural structures, even the simple ones, could give informative results which can improve our understanding of cognitive processes, arising due to collective activity of neurons. Here, a neurocomputational model for investigating the role of dopamine level on the synchronized behavior of medium spiny neurons in striatum is given.The model is composed of point neurons and dynamic synaptic connections and the excitatory connections of medium spiny neurons are modulated according to spike time dependent plasticity rule. The results convey that dopamine level has opposite effect on the synchronization of D1 and D2 type medium spiny neuron populations. Also, it is shown that spike timing dependent plasticity enhances the synchronized behavior.
Subject Keywords
Electroencephalography
,
Physiology
URI
https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=84951200303&origin=inward
https://hdl.handle.net/11511/98399
DOI
https://doi.org/10.1109/ijcnn.2015.7280762
Conference Name
International Joint Conference on Neural Networks, IJCNN 2015
Collections
Graduate School of Informatics, Conference / Seminar
Suggestions
OpenMETU
Core
A model on building and modifying the stimulus action association in the brain Beyinde Uyaran Hareket Ilişkisinin Oluşmasi ve Uyarlanmasina Dair Bir Model
Ercelik, Emec; Elibol, Rahmi; Şengör, Neslihan Serap (2015-06-19)
© 2015 IEEE.It is expected that building computational models of neural structures taking part in generating cognitive processes and emotions would not only help us understanding the brain but also give us clues to diagnose and develop treatment for neurological disorders and diseases. In this work, a computational model of cognitive task, goal directed behavior is considered. The cortex-basal ganglia-thalamus loop which is known to be effective in goal directed behavior has been modeled. In the model, the ...
A biophysical network model displaying the role of basal ganglia pathways in action selection
Yucelgen, Cem; Denizdurduran, Berat; Metin, Selin; Elibol, Rahmi; Şengör, Neslihan Serap (2012-10-25)
Basal ganglia circuits are known to have role in a wide range of behaviour spanning from movement initiation to high order cognitive processes as reward related learning. Here, the intention is to have a biophysically realistic model of basal ganglia circuit for voluntary motor action selection. The ultimate aim is to provide a framework for models which could help comprehension of complex processes. To fulfill this aim a model capable of simulating direct, indirect and hyperdirect pathways with modified Ho...
A computational model of the brain for decoding mental states from FMRI images
Alkan, Sarper; Yarman Vural, Fatoş Tunay; Department of Cognitive Sciences (2019)
Brain decoding from brain images obtained using functional magnetic resonance imaging (fMRI) techniques is an important task for the identification of mental states and illnesses as well as for the development of brain machine interfaces. The brain decoding methods that use multi-voxel pattern analysis that rely on the selection of voxels (volumetric pixels) that have relevant activity with respect to the experimental tasks or stimuli of the fMRI experiments are the most commonly used methods. While MVPA ba...
A Design for Real-time Neural Modeling on the GPU Incorporating Dendritic Computation
Garaas, Tyler W.; Marino, Frank; Duzcu, Halil; Pomplun, Marc (2009-07-05)
Recent advances in neuroscience have underscored the role of single neurons in information processing. Much of this work has focused on the role of neurons' dendrites to perform complex local computations that form the basis for the global computation of the neuron. Generally, artificial neural networks that are capable of real-time simulation do not take into account the principles underlying single-neuron processing. In this paper we propose a design for a neural model executed on the graphics processing ...
A computational model of basal ganglia circuits investigating the role of dopamine on direct and indirect pathways Bazal Çekirdek Devrelerinde Dopaminin Doǧrudan ve Dolayli Yolaklara Etkisine Ilişkin Bir Hesaplamali Model
Elibol, Rahmi; Şengör, Neslihan Serap (2016-01-06)
© 2015 IEEE.Due to the investigations carried out in neuroscience, it has been clear that basal ganglia circuits are not active only in motor actions but also take part in cognitive processes. With recent studies on processes as decision making and behavioral deficits as addiction, the role of basal ganglia in these processes has been revealed without suspicion. The activity in direct and indirect pathways, two of the three most mentioned pathways of basal ganglia, is known to be modified by neurotransmitte...
Citation Formats
IEEE
ACM
APA
CHICAGO
MLA
BibTeX
R. Elibol and N. S. Şengör, “A computational model to investigate the effect of dopamine on neural synchronization in striatum,” Killarney, İrlanda, 2015, vol. 2015-September, Accessed: 00, 2022. [Online]. Available: https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=84951200303&origin=inward.