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Can I read Biomorphic robot controls: event driven model free deep SNNs for complex visuomotor tasks on EtoBox?
Biomorphic robot controls: event driven model free deep SNNs for complex visuomotor tasks by Rüdiger Dillmann; Arne Rönnau is a Engineering article available to read on EtoBox.
What is Biomorphic robot controls: event driven model free deep SNNs for complex visuomotor tasks about?
The human brain surpass conventional computer architectures in regard to energy efficiency, robustness, connectivity and adaptivity. These aspects are inspiring today's emerging biomorphic technologies into both directions, software tools, and hardware systems. Thus, it is worthwhile to investigate into biological processes which enable the brain to perform computations and how they can be modelled and implemented in silicon. Taking inspiration from how the brain performs information processing requires a shift of computational paradigms compared to conventional computer architectures. Indeed, the brain is composed of nervous cells, called neurons, connected with synapses and forming self-organized networks. Neurons and synapses are complex dynamical systems ruled by biochemical and electrical reactions. As a result, they rely on local information forming functional neural clusters. Additionally, neurons communicate with each other with short electrical pulses, called spikes, which travel across synapses. Computational neuroscientists and roboticists attempt to model these computations with spiking neural networks (SNNs) and to ground them with real robots. When implemented on dedi
Who reads Biomorphic robot controls: event driven model free deep SNNs for complex visuomotor tasks?
It is typically read by researchers, students, and practitioners in Engineering.
- Author
- Rüdiger Dillmann; Arne Rönnau
- Publisher
- Springer Science and Business Media LLC
- Published
- 2022
- Language
- EN
- Field
- Engineering (Physical Sciences)