Connecting artificial brains to robots in a comprehensive simulation framework: the neurorobotics platform
Combined efforts in the fields of neuroscience, computer science, and biology allowed to
design biologically realistic models of the brain based on spiking neural networks. For a …
design biologically realistic models of the brain based on spiking neural networks. For a …
Composition operators for modeling languages: A literature review
J Pfeiffer, B Rumpe, D Schmalzing… - Journal of Computer …, 2023 - Elsevier
Efficiently engineering modeling languages demands their reuse through composition.
Research in language engineering has produced many different operators to reuse and …
Research in language engineering has produced many different operators to reuse and …
Experimental and computational study on motor control and recovery after stroke: toward a constructive loop between experimental and virtual embodied …
Being able to replicate real experiments with computational simulations is a unique
opportunity to refine and validate models with experimental data and redesign the …
opportunity to refine and validate models with experimental data and redesign the …
Change propagation and bidirectionality in internal transformation DSLs
Despite good results in several industrial projects, model-driven engineering (MDE) has not
been widely adopted in industry. Although MDE has existed for more than a decade now …
been widely adopted in industry. Although MDE has existed for more than a decade now …
Using internal domain-specific languages to inherit tool support and modularity for model transformations
Abstract Model-driven engineering (MDE) has proved to be a useful approach to cope with
today's ever-growing complexity in the development of software systems; nevertheless, it is …
today's ever-growing complexity in the development of software systems; nevertheless, it is …
An empirical study on the perception of metamodel quality
Despite the crucial importance of metamodeling for Model-Driven Engineering (MDE), there
is still little discussion about the quality of metamodel design and its consequences in model …
is still little discussion about the quality of metamodel design and its consequences in model …
[HTML][HTML] Closed loop interactions between spiking neural network and robotic simulators based on MUSIC and ROS
In order to properly assess the function and computational properties of simulated neural
systems, it is necessary to account for the nature of the stimuli that drive the system …
systems, it is necessary to account for the nature of the stimuli that drive the system …
Closed-loop neuromorphic benchmarks
TC Stewart, T DeWolf, A Kleinhans… - Frontiers in …, 2015 - frontiersin.org
Evaluating the effectiveness and performance of neuromorphic hardware is difficult. It is
even more difficult when the task of interest is a closed-loop task; that is, a task where the …
even more difficult when the task of interest is a closed-loop task; that is, a task where the …
[图书][B] Implicit incremental model analyses and transformations
G Hinkel - 2021 - library.oapen.org
When models of a system change, analyses based on them have to be reevaluated in order
for the results to stay meaningful. In many cases, the time to get updated analysis results is …
for the results to stay meaningful. In many cases, the time to get updated analysis results is …
A framework for coupled simulations of robots and spiking neuronal networks
G Hinkel, H Groenda, S Krach, L Vannucci… - Journal of Intelligent & …, 2017 - Springer
Bio-inspired robots still rely on classic robot control although advances in neurophysiology
allow adaptation to control as well. However, the connection of a robot to spiking neuronal …
allow adaptation to control as well. However, the connection of a robot to spiking neuronal …