Perez-Peña F, Leñero-Bardallo JA, Linares-Barranco A, Chicca E. Towards Bioinspired Close-Loop Local Motor Control. A Simulated Approach Supporting Neuromorphic Implementations. In: 2017 IEEE International Symposium on Circuits and Systems (ISCAS). Piscataway, NJ: IEEE; 2017: 1-4
Sensory control based on biological computational paradigms can be implemented using low-power analo...
Compared to classic robotics, biological nervous systems respond to stimuli in a fast and efficient ...
The Problem: How does the human neural circuitry control posture and voluntary movements? Humans are...
Despite being well established in robotics, classical motor controllers have several disadvantages:...
Perez-Peña F, Linares-Barranco A, Chicca E. An Approach to Motor Control for Spike-based Neuromorphi...
Donati E, Perez-Peña F, Bartolozzi C, Indiveri G, Chicca E. Open-Loop Neuromorphic Controller Imple...
An ever increasing amount of robotic platforms are being equipped with a new generation of neuromorp...
Neuromorphic engineering is a rapidly developing field that aims to take inspiration from the biolog...
Sensory control based on biological computational paradigms can be implemented using low-power ana...
Neuromorphic engineering promises the deployment of low latency, adaptive and low power systems that...
The central pattern generators network (CPGs) plays an important role in motion control which enable...
Millions of people worldwide are affected by neurological disorders which disrupt the connections wi...
One of the main limitations preventing the realization of a successful dialogue between the brain an...
Neuromorphic engineering attempts to understand the computational properties of neural processing sy...
How can neural and morphological computations be effectively combined and realized in embodied close...
Sensory control based on biological computational paradigms can be implemented using low-power analo...
Compared to classic robotics, biological nervous systems respond to stimuli in a fast and efficient ...
The Problem: How does the human neural circuitry control posture and voluntary movements? Humans are...
Despite being well established in robotics, classical motor controllers have several disadvantages:...
Perez-Peña F, Linares-Barranco A, Chicca E. An Approach to Motor Control for Spike-based Neuromorphi...
Donati E, Perez-Peña F, Bartolozzi C, Indiveri G, Chicca E. Open-Loop Neuromorphic Controller Imple...
An ever increasing amount of robotic platforms are being equipped with a new generation of neuromorp...
Neuromorphic engineering is a rapidly developing field that aims to take inspiration from the biolog...
Sensory control based on biological computational paradigms can be implemented using low-power ana...
Neuromorphic engineering promises the deployment of low latency, adaptive and low power systems that...
The central pattern generators network (CPGs) plays an important role in motion control which enable...
Millions of people worldwide are affected by neurological disorders which disrupt the connections wi...
One of the main limitations preventing the realization of a successful dialogue between the brain an...
Neuromorphic engineering attempts to understand the computational properties of neural processing sy...
How can neural and morphological computations be effectively combined and realized in embodied close...
Sensory control based on biological computational paradigms can be implemented using low-power analo...
Compared to classic robotics, biological nervous systems respond to stimuli in a fast and efficient ...
The Problem: How does the human neural circuitry control posture and voluntary movements? Humans are...