scholarly journals Methods to Solve Salt &Pepper Noise, and Frame Dropping of Timed Address Event Representation Vision Sensor

2019 ◽  
Vol 1187 (3) ◽  
pp. 032009
Author(s):  
Lu Yu ◽  
Zhonghe Chen ◽  
Yun Hao
2020 ◽  
Vol 3 (2) ◽  
pp. 28
Author(s):  
Ran Cheng ◽  
Khalid B. Mirza ◽  
Konstantin Nikolic

This paper describes the design and modus of operation of a neuromorphic robotic platform based on SpiNNaker, and its implementation on the goalkeeper task. The robotic system utilises an address event representation (AER) type of camera (dynamic vision sensor (DVS)) to capture features of a moving ball, and a servo motor to position the goalkeeper to intercept the incoming ball. At the backbone of the system is a microcontroller (Arduino Due) which facilitates communication and control between different robot parts. A spiking neuronal network (SNN), which is running on SpiNNaker, predicts the location of arrival of the moving ball and decides where to place the goalkeeper. In our setup, the maximum data transmission speed of the closed-loop system is approximately 3000 packets per second for both uplink and downlink, and the robot can intercept balls whose speed is up to 1 m/s starting from the distance of about 0.8 m. The interception accuracy is up to 85%, the response latency is 6.5 ms and the maximum power consumption is 7.15 W. This is better than previous implementations based on PC. Here, a simplified version of an SNN has been developed for the ‘interception of a moving object’ task, for the purpose of demonstrating the platform, however a generalised SNN for this problem is a nontrivial problem. A demo video of the robot goalie is available on YouTube.


2013 ◽  
Vol 33 (1) ◽  
pp. 0128003 ◽  
Author(s):  
于璐 Yu Lu ◽  
姚素英 Yao Suying ◽  
徐江涛 Xu Jiangtao

Author(s):  
A. Jimenez-Fernandez ◽  
C. Lujan-Martinez ◽  
R. Paz-Vicente ◽  
A. Linares-Barranco ◽  
G. Jimenez ◽  
...  

2011 ◽  
Author(s):  
Gerry T. M. Altmann ◽  
Nicholas C. Hindy ◽  
Emily Kalenik ◽  
Yuki Kamide ◽  
Gitte Joergensen ◽  
...  
Keyword(s):  

2010 ◽  
Vol 130 (9) ◽  
pp. 1581-1587 ◽  
Author(s):  
Yoshiyuki Kurami ◽  
Yushi Itoh ◽  
Michiya Natori ◽  
Kazuo Ohzeki ◽  
Yoshimitsu Aoki

2019 ◽  
Vol 2019 (13) ◽  
pp. 127-1-127-7
Author(s):  
Benjamin J. Foster ◽  
Dong Hye Ye ◽  
Charles A. Bouman

2020 ◽  
Author(s):  
Donna Rose Addis

Mental time travel (MTT) is defined as projecting the self into the past and the future. Despite growing evidence of the similarities of remembering past and imagining future events, dominant theories conceive of these as distinct capacities. I propose that memory and imagination are fundamentally the same process – constructive episodic simulation – and demonstrate that the ‘simulation system’ meets the three criteria of a neurocognitive system. Irrespective of whether one is remembering or imagining, the simulation system: (1) acts on the same information, drawing on elements of experience ranging from fine-grained perceptual details to coarser-grained conceptual information and schemas about the world; (2) is governed by the same rules of operation, including associative processes that facilitate construction of a schematic scaffold, the event representation itself, and the dynamic interplay between the two (cf. predictive coding); and (3) is subserved by the same brain system. I also propose that by forming associations between schemas, the simulation system constructs multi-dimensional cognitive spaces, within which any given simulation is mapped by the hippocampus. Finally, I suggest that simulation is a general capacity that underpins other domains of cognition, such as the perception of ongoing experience. This proposal has some important implications for the construct of ‘MTT’, suggesting that ‘time’ and ‘travel’ may not be defining, or even essential, features. Rather, it is the ‘mental’ rendering of experience that is the most fundamental function of this simulation system, enabling humans to re-experience the past, pre-experience the future, and also comprehend the complexities of the present.


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