Abstract
In this paper we present two implementations of spike-based bandpass filters, which are able to reject out-of-band frequency components in the spike domain. First one is based on the use of previously designed spike-based low-pass filters. With this architecture the quality factor, Q, is lower than 0.5. The second implementation is inspired in the analog multi-feedback filters (MFB) topology, it provides a higher than 1 Q factor, and ideally tends to infinite. These filters have been written in VHLD, and synthesized for FPGA. Two spike-based band-pass filters presented take advantages of the spike rate coded representation to perform a massively parallel processing without complex hardware units, like floating point arithmetic units, or a large memory. These low requirements of hardware allow the integration of a high number of filters inside a FPGA, allowing to process several spike coded signals fully in parallel.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
Similar content being viewed by others
References
Lichtsteiner, P., et al.: A 128×128 120dB 15 us Asynchronous Temporal Contrast Vision Sensor. IEEE Journal on Solid-State Circuits 43(2) (2008)
Chan, V., et al.: AER EAR: A Matched Silicon Cochlea Pair With Address Event Representation Interface. IEEE TCAS I 54(1) (2007)
Serrano-Gotarredona, R., et al.: On Real-Time AER 2-D Convolutions Hardware for Neuromorphic Spike-Based Cortical Processing. IEEE TNN 19(7) (2008)
Oster, M., et al.: Quantifying Input and Output Spike Statistics of a Winner-Take-All Network in a Vision System. In: IEEE International Symposium on Circuits and Systems, ISCAS (2007)
Hafliger, P.: Adaptive WTA with an Analog VLSI Neuromorphic Learning Chip. IEEE Transactions on Neural Networks 18(2) (2007)
Indiveri, G., et al.: A VLSI Array of Low-Power Spiking Neurons and Bistables Synapses with Spike-Timing Dependant Plasticity. IEEE Trans. on Neural Networks 17(1) (2006)
Gomez-Rodriguez, F., et al.: AER Auditory Filtering and CPG for Robot Control. In: IEEE International Symposium on Circuits and Systems, ISCAS 2007 (2007)
Linares-Barranco, A., et al.: Using FPGA for visuo-motor control with a silicon retina and a humanoid robot. In: IEEE International Symposium on Circuits and Systems, ISCAS 2007 (2007)
Shepherd, G.: The Synaptic Organization of the Brain. Oxford University Press, Oxford (1990)
Jimenez-Fernandez, A., et al.: Simulating Building Blocks for Spikes Signals Processing. In: International WorkShop in Artificial Neural Networks , IWANN 2011 (2011)
Mahowald, M.: VLSI Analogs of Neuronal Visual Processing: A Synthesis of Form and Function. PhD. Thesis, California Institute of Technology Pasadena, California (1992)
Serrano-Gotarredona, R., et al.: CAVIAR: A 45k-neuron, 5M-synapse AER Hardware Sensory-Processing-Learning-Actuating System for High-Speed Visual Object Recognition and Tracking. IEEE Trans. on Neural Networks 20(9) (2009)
Gomez-Rodriguez, F., Paz, R., Miro, L., Linares-Barranco, A., Jimenez, G., Civit, A.: Two hardware implementations of the exhaustive synthetic AER generation method. In: Cabestany, J., Prieto, A.G., Sandoval, F. (eds.) IWANN 2005. LNCS, vol. 3512, pp. 534–540. Springer, Heidelberg (2005)
Paz-Vicente, R., et al.: Synthetic retina for AER systems development. In: International Conference on Computer Systems and Applications, AICCSA 2009 (2009)
Jimenez-Fernandez, A., et al.: AER-based robotic closed-loop control system. In: IEEE International Symposium on Circuits and Systems, ISCAS 2008 (2008)
Jimenez-Fernandez, A., et al.: AER and dynamic systems co-simulation over Simulink with Xilinx System Generator. In: IEEE Int.Symp. on Circuits and Systems, ISCAS 2008 (2008)
Jimenez-Fernandez, A., et al.: Building Blocks for Spike-based Signal Processing. In: IEEE International Joint Conference on Neural Networks, IJCNN 2010 (2010)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2011 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Domínguez-Morales, M., Jimenez-Fernandez, A., Cerezuela-Escudero, E., Paz-Vicente, R., Linares-Barranco, A., Jimenez, G. (2011). On the Designing of Spikes Band-Pass Filters for FPGA. In: Honkela, T., Duch, W., Girolami, M., Kaski, S. (eds) Artificial Neural Networks and Machine Learning – ICANN 2011. ICANN 2011. Lecture Notes in Computer Science, vol 6792. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-21738-8_50
Download citation
DOI: https://doi.org/10.1007/978-3-642-21738-8_50
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-21737-1
Online ISBN: 978-3-642-21738-8
eBook Packages: Computer ScienceComputer Science (R0)