Abstract
In this paper we present and analyze two VHDL components for monitoring internal activity of spikes fired by silicon neurons inside FPGAs. These spikes monitors encode each spike according to the Address-Event Representation, sending them through a time multiplexed digital bus as discrete events, using different strategies. In order to study and analyze their behavior we have designed an experimental scenario, where diverse AER systems have been used to stimulate the spikes monitors and collect the output AER events, for later analysis. We have applied a battery of tests on both monitors in order to measure diverse features such as maximum spike load and AER event loss due to collisions.
This work has been supported by the Spanish government grant project VULCANO (TEC2009-10639-C04-02) and BIOSENSE (TEC2012-37868-C04-02).
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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 T. Circuits and Systems I 54(1) (2007)
Serrano-Gotarredona, R., et al.: On Real-Time AER 2-D Convolutions Hardware for Neuromorphic Spike-Based Cortical Processing. IEEE T. Neural Network 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 (2007)
Hafliger, P.: Adaptive WTA with an Analog VLSI Neuromorphic Learning Chip. IEEE T. Neural Networks 18(2) (2007)
Indiveri, G., et al.: A VLSI Array of Low-Power Spiking Neurons and Bistables Synapses with Spike-Timig Dependant Plasticity. IEEE T. Neural Networks 17(1) (2006)
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 Systemsm, ISCAS 2007 (2007)
Jiménez-Fernández, A., et al.: AER and dynamic systems co-simulation over Simulink with Xilinx System Generator. In: IEEE I. Conference on Electronic, Circuits and Systems, ICECS 2008 (2008)
Shepherd, G.: The Synaptic Organization of the Brain. Oxford University Press (1990)
Boahen, K.: Point-to-Point Connectivity Between Neuromorphic Chips Using Address Events. IEEE T. Circuits and Systems II 47(5) (2000)
Jiménez-Fernández, A., et al.: Spike-based control monitoring and analysis with Address Event Representation. In: IEEE Int. Conference on Computer Systems and Applications, AICCSA 2009 (2009)
Gómez-Rodríguez, F., et al.: AER tools for communications and debugging. In: Proceedings of IEEE Int. Sym. on Circuits and Systems, ISCAS 2006 (2006)
Berner, R., et al.: A 5 Meps $100 USB2.0 Address-Event Monitor-Sequencer Interface. In: IEEE International Symposium on Circuits and Systems, ISCAS 2007 (2007)
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Cerezuela-Escudero, E., Dominguez-Morales, M.J., Jiménez-Fernández, A., Paz-Vicente, R., Linares-Barranco, A., Jiménez-Moreno, G. (2013). Spikes Monitors for FPGAs, an Experimental Comparative Study. In: Rojas, I., Joya, G., Gabestany, J. (eds) Advances in Computational Intelligence. IWANN 2013. Lecture Notes in Computer Science, vol 7902. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-38679-4_17
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DOI: https://doi.org/10.1007/978-3-642-38679-4_17
Publisher Name: Springer, Berlin, Heidelberg
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