Mimicking gait pattern generators

K Ochs, D Michaelis, S Jenderny - 2018 IEEE 61st International …, 2018 - ieeexplore.ieee.org
To replicate the behavior of (large scale) biologically inspired networks through
neuromorphic circuits the question arises on how to model the synaptic interconnections …

Neural network topology formation using memristive Jaumann structures

K Ochs, D Michaelis - 2018 IEEE 61st International Midwest …, 2018 - ieeexplore.ieee.org
The interconnection of neurons through synapses are essential in the context of learning
behavior. This includes the topology formation process in neural networks, ie, the synaptic …

Statistical approaches for the analysis of dependency among neurons under noise

D Gençağa, S Şengül Ayan, H Farnoudkia, S Okuyucu - Entropy, 2020 - mdpi.com
Neuronal noise is a major factor affecting the communication between coupled neurons. In
this work, we propose a statistical toolset to infer the coupling between two neurons under …

Analysis of parameter changes of a neuronal network model using transfer entropy

SŞ Ayan, D Gençağa - International Advanced Researches and …, 2020 - dergipark.org.tr
Understanding the dynamics of coupled neurons is one of the fundamental problems in the
analysis of neuronal model dynamics. The transfer entropy (TE) method is one of the primary …

[引用][C] Mikroişlemci mimarisi kullanarak merkezi desen üretici yapılarının incelenmesi

VB Yücedağ - Fen Bilimleri Enstitüsü