Definition
Neuromorphic sensors are artificial man-made sensors that try to imitate some of the working principles or structures of their biological counterparts. A neuromorphic vision sensor is, therefore, an artificial man-made vision sensor that mimics some of the working principles or structures found in living animals’ visual systems.
Detailed Description
Conventional video cameras are based capturing a sequence of still frames. Improving a camera means normally to increase the total number of pixels (resolution) and/or to increase the number of frames per second that can be captured, while reducing sensor area, power consumption, and possibly fabrication cost. These cameras just capture the light intensities of visual reality. If they are to be used in an artificial vision system (e.g., for robotics), then subsequent computing resources need to be allocated to analyze the sequence of captured frames and extract relevant information for decision making. The more resolution or the...
This is a preview of subscription content, log in via an institution to check access.
References
Azadmehr M, Abrahamsen H, Hafliger P (2005) A foveated AER imager chip. Proc IEEE Int Symp Circ Syst (ISCAS) 3:2751–2754
Boahen K, Andreou A (1992) A contrast-sensitive retina with reciprocal synapses. Adv Neural Inf Process Syst (NIPS) 4:764–772
Chen S, Bermak A (2007) Arbitrated time-to-first spike CMOS image sensor with on-chip histogram equalization. IEEE Trans VLSI Syst 15(3):346–357
Costas-Santos J, Serrano-Gotarredona T, Serrano-Gotarredona R, Linares-Barranc B (2007) A spatial contrast retina with on-chip calibration for neuromorphic spike-based AER vision systems. IEEE Trans Circuits Syst I 54(7):1444–1458
Culurciello E, Etienne-Cummings R, Boahen KA (2003) A biomorphic digital image sensor. IEEE J Solid State Circ 38:281–294
Leñero-Bardallo JA, Serrano-Gotarredona T, Linares-Barranco B (2010) A five-decade dynamic range ambient-light-independent calibrated signed-spatial-contrast AER retina with 0.1 ms latency and optional time-to-first-spike mode. IEEE Trans Circ Syst I 57(10):2632–2643
Lichtsteiner P, Posch C, Delbruck T (2008) A 128 × 128 120 dB 15 ms latency asynchronous temporal contrast vision sensor. IEEE J Solid State Circ 43(2):566–576
Liu SC, Kramer J, Indiveri G, Delbrück T, Douglas R (2002) Analog VLSI: circuits and principles. MIT Press, Cambridge
Mead C (1989) Analog VLSI and neural systems. Addison-Wesley, Reading
Ozalevli E, Higgins CM (2005) Reconfigurable biologically inspired visual motion system using modular neuromorphic VLSI chips. IEEE Trans Circ Syst I 52(1):79–92
Posch C, Matolin D, Wohlgenannt R (2011) A QVGA 143 dB dynamic range frame-free PWM image sensor with lossless pixel-level video compression and time-domain CDS. IEEE J Solid State Circ 46(1):259–275
Ruedi PF et al (2003) A 128 × 128 pixel 120-dB dynamic-range vision sensor chip for image contrast and orientation extraction. IEEE J Solid State Circ 38:2325–2333
Serrano-Gotarredona T, Linares-Barranco B (2013) A 128 × 128 1.5% contrast sensitivity 0.9% FPN 3 us latency 4 mW asynchronous frame-free dynamic vision sensor using transimpedance amplifiers. IEEE J Solid State Circ 48(3):827–838
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2014 Springer Science+Business Media New York
About this entry
Cite this entry
Linares-Barranco, B., Serrano-Gotarredona, T. (2014). Neuromorphic Sensors, Vision. In: Jaeger, D., Jung, R. (eds) Encyclopedia of Computational Neuroscience. Springer, New York, NY. https://doi.org/10.1007/978-1-4614-7320-6_120-1
Download citation
DOI: https://doi.org/10.1007/978-1-4614-7320-6_120-1
Received:
Accepted:
Published:
Publisher Name: Springer, New York, NY
Online ISBN: 978-1-4614-7320-6
eBook Packages: Springer Reference Biomedicine and Life SciencesReference Module Biomedical and Life Sciences