Synthesizing cognition in neuromorphic electronic systems

Neftci E, Binas J, Rutishauser U, Chicca E, Indiveri G, Douglas RJ (2013)
Proceedings of the National Academy of Sciences of the United States of America 110(37): E3468-E3476.

Zeitschriftenaufsatz | Veröffentlicht | Englisch
 
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Abstract / Bemerkung
The quest to implement intelligent processing in electronic neuromorphic systems lacks methods for achieving reliable behavioral dynamics on substrates of inherently imprecise and noisy neurons. Here we report a solution to this problem that involves first mapping an unreliable hardware layer of spiking silicon neurons into an abstract computational layer composed of generic reliable subnetworks of model neurons and then composing the target behavioral dynamics as a “soft state machine” running on these reliable subnets. In the first step, the neural networks of the abstract layer are realized on the hardware substrate by mapping the neuron circuit bias voltages to the model parameters. This mapping is obtained by an automatic method in which the electronic circuit biases are calibrated against the model parameters by a series of population activity measurements. The abstract computational layer is formed by configuring neural networks as generic soft winner-take-all subnetworks that provide reliable processing by virtue of their active gain, signal restoration, and multistability. The necessary states and transitions of the desired high-level behavior are then easily embedded in the computational layer by introducing only sparse connections between some neurons of the various subnets. We demonstrate this synthesis method for a neuromorphic sensory agent that performs real-time context-dependent classification of motion patterns observed by a silicon retina.
Stichworte
very large-scale integration; artificial neural systems; working memory analog; sensorimotor; decision making
Erscheinungsjahr
2013
Zeitschriftentitel
Proceedings of the National Academy of Sciences of the United States of America
Band
110
Ausgabe
37
Seite(n)
E3468-E3476
ISSN
0027-8424
eISSN
1091-6490
Page URI
https://pub.uni-bielefeld.de/record/2612571

Zitieren

Neftci E, Binas J, Rutishauser U, Chicca E, Indiveri G, Douglas RJ. Synthesizing cognition in neuromorphic electronic systems. Proceedings of the National Academy of Sciences of the United States of America. 2013;110(37):E3468-E3476.
Neftci, E., Binas, J., Rutishauser, U., Chicca, E., Indiveri, G., & Douglas, R. J. (2013). Synthesizing cognition in neuromorphic electronic systems. Proceedings of the National Academy of Sciences of the United States of America, 110(37), E3468-E3476. doi:10.1073/pnas.1212083110
Neftci, E., Binas, J., Rutishauser, U., Chicca, E., Indiveri, G., and Douglas, R. J. (2013). Synthesizing cognition in neuromorphic electronic systems. Proceedings of the National Academy of Sciences of the United States of America 110, E3468-E3476.
Neftci, E., et al., 2013. Synthesizing cognition in neuromorphic electronic systems. Proceedings of the National Academy of Sciences of the United States of America, 110(37), p E3468-E3476.
E. Neftci, et al., “Synthesizing cognition in neuromorphic electronic systems”, Proceedings of the National Academy of Sciences of the United States of America, vol. 110, 2013, pp. E3468-E3476.
Neftci, E., Binas, J., Rutishauser, U., Chicca, E., Indiveri, G., Douglas, R.J.: Synthesizing cognition in neuromorphic electronic systems. Proceedings of the National Academy of Sciences of the United States of America. 110, E3468-E3476 (2013).
Neftci, E., Binas, J., Rutishauser, U., Chicca, Elisabetta, Indiveri, G., and Douglas, R. J. “Synthesizing cognition in neuromorphic electronic systems”. Proceedings of the National Academy of Sciences of the United States of America 110.37 (2013): E3468-E3476.
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