TY - GEN
T1 - Spiking neural networks evolved to perform multiplicative operations
AU - Khan, Muhammad Aamir
AU - Steuber, Volker
AU - Davey, Neil
AU - Wróbel, Borys
N1 - © Springer Nature Switzerland AG 2018
PY - 2018/9/27
Y1 - 2018/9/27
N2 - Multiplicative or divisive changes in tuning curves of individual neurons to one stimulus (“input”) as another stimulus (“modulation”) is applied, called gain modulation, play an important role in perception and decision making. Since the presence of modulatory synaptic stimulation results in a multiplicative operation by proportionally changing the neuronal input-output relationship, such a change affects the sensitivity of the neuron but not its selectivity. Multiplicative gain modulation has commonly been studied at the level of single neurons. Much less is known about arithmetic operations at the network level. In this work we have evolved small networks of spiking neurons in which the output neurons respond to input with non-linear tuning curves that exhibit gain modulation—the best network showed an over 3-fold multiplicative response to modulation. Interestingly, we have also obtained a network with only 2 interneurons showing an over 2-fold response.
AB - Multiplicative or divisive changes in tuning curves of individual neurons to one stimulus (“input”) as another stimulus (“modulation”) is applied, called gain modulation, play an important role in perception and decision making. Since the presence of modulatory synaptic stimulation results in a multiplicative operation by proportionally changing the neuronal input-output relationship, such a change affects the sensitivity of the neuron but not its selectivity. Multiplicative gain modulation has commonly been studied at the level of single neurons. Much less is known about arithmetic operations at the network level. In this work we have evolved small networks of spiking neurons in which the output neurons respond to input with non-linear tuning curves that exhibit gain modulation—the best network showed an over 3-fold multiplicative response to modulation. Interestingly, we have also obtained a network with only 2 interneurons showing an over 2-fold response.
KW - Adaptive exponential integrate and fire
KW - Artificial evolution
KW - Gain modulation
KW - Multiplicative operation
KW - Spiking neural network
UR - http://www.scopus.com/inward/record.url?scp=85054794252&partnerID=8YFLogxK
U2 - 10.1007/978-3-030-01418-6_31
DO - 10.1007/978-3-030-01418-6_31
M3 - Conference contribution
AN - SCOPUS:85054794252
SN - 9783030014179
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 314
EP - 321
BT - Artificial Neural Networks and Machine Learning – ICANN 2018 - 27th International Conference on Artificial Neural Networks, 2018, Proceedings
PB - Springer Nature Link
T2 - 27th International Conference on Artificial Neural Networks, ICANN 2018
Y2 - 4 October 2018 through 7 October 2018
ER -