As neuromorphic hardware begins to emerge as a viable target platform for artificial intelligence (AI) applications, there is a need for tools and software that can effectively …
Dynamical systems are universal computers. They can perceive stimuli, remember, learn from feedback, plan sequences of actions, and coordinate complex behavioural responses …
Researchers study nervous systems at levels of scale spanning several orders of magnitude, both in terms of time and space. While some parts of the brain are well …
Nonlinear interactions in the dendritic tree play a key role in neural computation. Nevertheless, modeling frameworks aimed at the construction of large-scale, functional …
Theoretical neuroscience is fundamentally concerned with the relationship between biological mechanisms, information processing, and cognitive abilities, yet current models …
Our subjective sense of time is one of the most elusive yet constant factors of our mental lives. What is our sense of time like, and what is it good for? In this thesis, a theoretical …
A standard model of how brains produce natural cognition would provide a framework for organizing cognitive neuroscience research. A recent effort (Laird et al., in press) to build on …
D Reitter, FE Ritter - Topics in Cognitive Science, 2017 - Wiley Online Library
Introduction to the Issue on Computational Models of Memory: Selected Papers From the International Conference on Cognitive Modeling - Reitter - 2017 - Topics in Cognitive Science …