About this Research Topic
The Frontiers in Neuromorphic Engineering journal plans a special research topic in 2013 on Neuromorphic Engineering Systems and Applications. Relevant topics include:
- Sensors and applications of sensors, e.g. retina, cochlea, convolutional hardware such as NewFlow or ConvNet
- Robotics and sensors for robotics, e.g. locomotion, game playing robots, navigation, obstacle avoidance
- Applications of large scale AER systems, e.g. Neurogrid, SpiNNaker, FACETS
- Applications of hardware for machine learning and perception, e.g. synaptic plasticity, state-dependent networks, particularly those that address the issues of imprecision and its effect on performance
- Implementations of cognitive systems, e.g. hand designed networks of neurons or learned topologies for solving “cognitive” problems in decision making or control
Neuromorphic engineering is about to enter its 25th year as a discipline. In the first two decades neuromorphic engineers focused on building models of sensors, such as silicon cochleas and retinas, and building blocks such as silicon neurons and synapses. These designs have honed our skills in implementing sensors and neural networks in VLSI using analog and mixed mode circuits.
Over the last decade the address event representation has been used to interface devices and computers from different designers and even different groups. This facility has been essential for our ability to combine sensors, neural networks, and actuators into neuromorphic systems.
The Telluride Neuromorphic Engineering Workshop (since 1994) and the CapoCaccia Cognitive Neuromorphic Engineering Workshop (since 2009) have been instrumental not only in creating a strongly connected research community, but also in introducing different groups to each other’s hardware. Many neuromorphic systems are first created at one of these workshops.
With this special research topic, we aim to showcase the state-of-the-art in neuromorphic systems. We encourage submissions of manuscripts describing systems resulting from project work at the two neuromorphic engineering workshops, but we also welcome other relevant submissions.
- Sensors and applications of sensors, e.g. retina, cochlea, convolutional hardware such as NewFlow or ConvNet
- Robotics and sensors for robotics, e.g. locomotion, game playing robots, navigation, obstacle avoidance
- Applications of large scale AER systems, e.g. Neurogrid, SpiNNaker, FACETS
- Applications of hardware for machine learning and perception, e.g. synaptic plasticity, state-dependent networks, particularly those that address the issues of imprecision and its effect on performance
- Implementations of cognitive systems, e.g. hand designed networks of neurons or learned topologies for solving “cognitive” problems in decision making or control
Neuromorphic engineering is about to enter its 25th year as a discipline. In the first two decades neuromorphic engineers focused on building models of sensors, such as silicon cochleas and retinas, and building blocks such as silicon neurons and synapses. These designs have honed our skills in implementing sensors and neural networks in VLSI using analog and mixed mode circuits.
Over the last decade the address event representation has been used to interface devices and computers from different designers and even different groups. This facility has been essential for our ability to combine sensors, neural networks, and actuators into neuromorphic systems.
The Telluride Neuromorphic Engineering Workshop (since 1994) and the CapoCaccia Cognitive Neuromorphic Engineering Workshop (since 2009) have been instrumental not only in creating a strongly connected research community, but also in introducing different groups to each other’s hardware. Many neuromorphic systems are first created at one of these workshops.
With this special research topic, we aim to showcase the state-of-the-art in neuromorphic systems. We encourage submissions of manuscripts describing systems resulting from project work at the two neuromorphic engineering workshops, but we also welcome other relevant submissions.
Important Note: All contributions to this Research Topic must be within the scope of the section and journal to which they are submitted, as defined in their mission statements. Frontiers reserves the right to guide an out-of-scope manuscript to a more suitable section or journal at any stage of peer review.
