Search
Search Results
-
Recurrent Neural Network: A Flexible Tool of Computational Neuroscience Research
Recurrent neural networks (RNNs) are a set of computational models which are repeatedly used as a mechanism to acquire insights into neurological...
-
A Review on Cognitive Computational Neuroscience: Overview, Models, and Applications
To understand the working of our biological brain, we primarily focus on three key areas which are computational neuroscience, cognitive science, and...
-
Computational Neuroscience and Its Applications: A Review
Computational neuroscience uses computational approach which is study of nervous system and branch of neuroscience. Computational methods include...
-
Compact hybrid type electronic neuron and computational model of its dynamics
We propose a Neurosimilator, novel analog neuron circuit and mathematical model of its dynamics that both simulate with high precision the spiking...
-
Computational Neuroscience Models and Tools: A Review
A detailed and robust mathematical theory and modeling paradigms with discrete functions and relationships within diverse regions of the brain are...
-
Application of cellular automata in neuroscience: dynamic models of neuron populations
The collective activity of neurons in cortical circuits enables us to think, perceive, learn and move. Modeling this activity through cellular...
-
Reducing Computational Cost During Robot Navigation and Human–Robot Interaction with a Human-Inspired Reinforcement Learning Architecture
We present a new neuro-inspired reinforcement learning architecture for robot online learning and decision-making during both social and non-social...
-
Plausible Reasoning in Neuroscience
What is probability? How this relate to statistical inference? These are fundamental questions, the answer to which varies greatly, depending on the...
-
-
Computational analysis of electrode structure and configuration for efficient and localized neural stimulation
Neuromodulation technique using electric stimulation is widely applied in neural prosthesis, therapy, and neuroscience research. Various stimulation...
-
Computational Modeling of Multilevel Organizational Learning: From Conceptual to Computational Mechanisms
This paper addresses formalization and computational modeling of multilevel organizational learning, which is one of the major challenges for the...
-
Consumer Neuroscience: A Neural Engineering Approach
This chapter aims to understand how neuroscientific technologies can be effectively employed to better understand human behavior in real world...
-
Interpretation of seizure dynamics using fuzzy-based neural computational modelling
The epileptic seizures result due to the nonlinear dynamic asynchronization of the brain waves. The temporal dynamics of the brain waves are usually...
-
Spatially embedded recurrent neural networks reveal widespread links between structural and functional neuroscience findings
Brain networks exist within the confines of resource limitations. As a result, a brain network must overcome the metabolic costs of growing and...
-
Machine Learning Model Development Using Computational Neurology
The ever-enhancement of techniques and technology helps computer scientists to collect voluminous data with specified resolution. The bottleneck in...
-
Big Data Analysis in Computational Biology and Bioinformatics
Advancements in high-throughput technologies, genomics, transcriptomics, and metabolomics play an important role in obtaining biological information...
-
Computational fluid dynamic modeling of the lymphatic system: a review of existing models and future directions
Historically, research into the lymphatic system has been overlooked due to both a lack of knowledge and limited recognition of its importance. In...
-
From Conceptual to Computational Mechanisms for Multilevel Organisational Learning
This chapter addresses formalisation and computational modelingComputational modeling of multilevel organisational learningMultilevel organisational...
-
When Artificial Intelligence and Computational Neuroscience Meet
Computational Intelligence and Artificial Intelligence are both aiming at building machines and softwares capable of intelligent behavior. They are...
-
Plausible Reasoning in Neuroscience
What is probability? How this relate to statistical inference? These are fundamental questions, the answer to which varies greatly, depending on the...