Experimental study of reinforcement learning in mobile robots through spiking architecture of thalamo-cortico-thalamic circuitry of mammalian brain

V Azimirad, MF Sani - Robotica, 2020 - cambridge.org
In this paper, the behavioral learning of robots through spiking neural networks is studied in
which the architecture of the network is based on the thalamo-cortico-thalamic circuitry of the …

A computational model of the brain cortex and its synchronization

SNS Kbah - BioMed Research International, 2020 - Wiley Online Library
Obtaining the computational models for the functioning of the brain gives us a chance to
understand the brain functionality thoroughly. This would help the development of better …

Investigation of a moderate cortical model synchronization created using brian simulator

SNS Kbah - 2019 Medical Technologies Congress (TIPTEKNO …, 2019 - ieeexplore.ieee.org
Obtaining computational models for the functioning of the brain gives us a chance to
understand the brain functionality thoroughly. This would help the development of better …

Modeling nucleus accumbens

E Rahmi, NS Şengör - Journal of Computational …, 2021 - search.proquest.com
Nucleus accumbens is part of the neural structures required for reward based learning and
cognitive processing of motivation. Understanding its cellular dynamics and its role in basal …

A computational model of neural synchronization in striatum

R Elibol, NS Şengör - Computational Neurology and Psychiatry, 2017 - Springer
The role of basal ganglia circuits in voluntary motor movements has been known for
decades, but its role in cognitive processes, especially in emotion-based action selection …

Modeling nucleus accumbens: A Computational Model from Single Cell to Circuit Level

R Elibol, NS Şengör - Journal of Computational Neuroscience, 2021 - Springer
Nucleus accumbens is part of the neural structures required for reward based learning and
cognitive processing of motivation. Understanding its cellular dynamics and its role in basal …

[PDF][PDF] Implementación de un algoritmo de aprendizaje de máquina para la optimización del sistema hardware en una FPGA

MJ Silva Salinas - 2023 - repositorio.espe.edu.ec
Antecedentes Una de las tecnologías que más ha evolucionado en los últimos años son los
algoritmos de aprendizaje de máquina, debido en mayor medida a los avances …

[PDF][PDF] ISTANBUL TECHNICAL UNIVERSITY 击GRADUATE SCHOOL OF SCIENCE ENGINEERING AND TECHNOLOGY

E ERÇELIK - 2015 - itu.edu.tr
Embodiment is a concept that found its place not only in psychology and philosophy but also
in robotics and artificial intelligence. As a word it means a tangible or visible form of an idea …

Building neurocomputational models at different levels for basal ganglia circuit

R Elibol, NS Şengör - IU-Journal of Electrical & Electronics …, 2017 - dergipark.org.tr
The target of computational neuroscience studies can be considered in two-folds:
understanding the connection between the physiology and functional aspects of the brain to …

Hareket Seçimine İlişkin Beyin Esinlenmeli Hesaplamalı Modeller Ve Robotlar Üstünde Gerçekleme

E Erçelik - polen.itu.edu.tr
Özet Bu tezin bir amacı, merkezi sinir sistemindeki süreçlerden yararlanılarak oluşturulmuş
hesaplamalı modeller ile fonksiyonel açıdan beyni incelemek ve bilişsel süreçler ile …