Abstract
Neural heterogeneity has been reported as beneficial for information processing in neural networks. An example of this heterogeneity can be observed in the neural responses to stimuli, which divide the neurons into two populations: specialists and generalists. Being observed in the neural network of the locust olfactory system that a balance of these two neural populations is crucial for achieving a correct pattern recognition. However, these results may not be generalizable to other biological neural networks. Therefore, we took advantage of a recent biological study about the Drosophila connectome to study the balance of these two neural populations in its neural network. We conclude that the balance between specialists and generalists also occurs in the Drosophila. This balancing process does not affect the neural network connectivity, since specialist and generalist neurons are not differentiable by the number of incoming connections.
This is a preview of subscription content, log in via an institution.
Buying options
Tax calculation will be finalised at checkout
Purchases are for personal use only
Learn about institutional subscriptionsReferences
Christensen, T.A.: Making scents out of spatial and temporal codes in specialist and generalist olfactory networks. Chem. Senses 30, 283–284 (2005)
Dubnau, J., Grady, L., Kitamoto, T., Tully, T.: Disruption of neurotransmission in drosophila mushroom body blocks retrieval but not acquisition of memory. Nature 411(6836), 476–480 (2001)
Eichler, K., et al.: The complete connectome of a learning and memory centre in an insect brain. Nature 548(7666), 175 (2017)
Huerta, R., Nowotny, T., Garcia-Sanchez, M., Abarbanel, H.D.I., Rabinovich, M.I.: Learning classification in the olfactory system of insects. Neural Comput. 16, 1601–1640 (2004)
Masuda-Nakagawa, L.M., Tanaka, N.K., O’Kane, C.J.: Stereotypic and random patterns of connectivity in the larval mushroom body calyx of Drosophila. Proc. Natl. Acad. Sci. USA 102, 19027–19032 (2005)
Montero, A., Huerta, R., Rodriguez, F.B.: Regulation of specialists and generalists by neural variability improves pattern recognition performance. Neurocomputing 151, 69–77 (2015)
Montero, A., Huerta, R., Rodriguez, F.B.: Stimulus space complexity determines the ratio of specialist and generalist neurons during pattern recognition. J. Frankl. Inst. 355(5), 2951–2977 (2018)
Perez-Orive, J., Mazor, O., Turner, G.C., Cassenaer, S., Wilson, R.I., Laurent, G.: Oscillations and sparsening of odor representations in the mushroom body. Science 297(5580), 359–365 (2002)
Rabinovich, M.I., Huerta, R., Volkovskii, A., Abarbanel, H.D., Stopfer, M., Laurent, G.: Dynamical coding of sensory information with competitive networks. J. Physiol. Paris 94(5–6), 465–471 (2000)
Rubin, J.E., Katz, L.C.: Optical imaging of odorant representations in the mammalian olfactory bulb. J. Neurophysiol. 23, 449–511 (1999)
Scardapane, S., Wang, D.: Randomness in neural networks: an overview. Wiley Interdiscip. Rev. Data Min. Knowl. Discov. 7(2), e1200 (2017)
Schürmann, F.W., Frambach, I., Elekes, K.: Gabaergic synaptic connections in mushroom bodies of insect brains. Acta Biol. Hung. 59, 173–181 (2008)
Shen, H.-C., Wei, J.-Y., Chu, S.-Y., Chung, P.-C., Hsu, T.-C., Hung-Hsiang, Y.: Morphogenetic studies of the drosophila DA1 ventral olfactory projection neuron. PloS One 11(5), e0155384 (2016)
Turner, G.C., Bazhenov, M., Laurent, G.: Olfactory representations by drosophila mushroom body neurons. J. Neurophysiol. 99, 734–746 (2008)
Wilson, R.I., Turner, G.C., Laurent, G.: Transformation of olfactory representations in the drosophila antennal lobe. Science 303(5656), 366–370 (2004)
Acknowledgments
This research was supported by MINECO/FEDER projects TIN2014-54580-R and TIN2017-84452-R (http://www.mineco.gob.es/). We also thank Ramon Huerta for his useful discussions.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2018 Springer Nature Switzerland AG
About this paper
Cite this paper
Montero, A., Lopez-Hazas, J., Rodriguez, F.B. (2018). Input Pattern Complexity Determines Specialist and Generalist Populations in Drosophila Neural Network. In: Kůrková, V., Manolopoulos, Y., Hammer, B., Iliadis, L., Maglogiannis, I. (eds) Artificial Neural Networks and Machine Learning – ICANN 2018. ICANN 2018. Lecture Notes in Computer Science(), vol 11140. Springer, Cham. https://doi.org/10.1007/978-3-030-01421-6_29
Download citation
DOI: https://doi.org/10.1007/978-3-030-01421-6_29
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-01420-9
Online ISBN: 978-3-030-01421-6
eBook Packages: Computer ScienceComputer Science (R0)