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 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 stimulus which has been recognized by sensory cortex has been projected to motor cortex giving rise to an action. This relation between stimulus and action has been evaluated by reward and the connection between substructures taking part during this process has been modified by dopamine. This modification is done by spike time dependent plasticity which depends on dopamine level regulated by reward. So, the effect of stimulus on sensory cortex has been carried down to motor cortex by evaluating reward and association between stimuli and action has been built up.
2015 23rd Signal Processing and Communications Applications Conference, SIU 2015


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...
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 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...
An Information Theoretic Approach to Classify Cognitive States Using fMRI
Onal, Itir; Ozay, Mete; Firat, Orhan; GİLLAM, İLKE; Yarman Vural, Fatoş Tunay (2013-11-13)
In this study, an information theoretic approach is proposed to model brain connectivity during a cognitive processing task, measured by functional Magnetic Resonance Imaging (fMRI). For this purpose, a local mesh of varying size is formed around each voxel. The arc weights of each mesh are estimated using a linear regression model by minimizing the squared error. Then, the optimal mesh size for each sample, that represents the information distribution in the brain, is estimated by minimizing various inform...
A computational model to investigate the effect of dopamine on neural synchronization in striatum
Elibol, Rahmi; Şengör, Neslihan Serap (2015-09-28)
© 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 ...
Citation Formats
E. Ercelik, R. Elibol, and N. S. Şengör, “A model on building and modifying the stimulus action association in the brain Beyinde Uyaran Hareket Ilişkisinin Oluşmasi ve Uyarlanmasina Dair Bir Model,” presented at the 2015 23rd Signal Processing and Communications Applications Conference, SIU 2015, Malatya, Türkiye, 2015, Accessed: 00, 2022. [Online]. Available: https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=84939194730&origin=inward.