Abstract
Recent finding has demonstrated that glial cells and especially astrocytes are responsible for some important roles in the central nervous system. Laboratory examination of the roles of astrocytes in information processing of neural system is associated with technical difficulties. Therefore, computational modeling provides a suitable approach in describing cognitive phenomena and neuroscience. In this paper, the role of strong and weak astrocytes in pattern recognition has considered and bio-stimulator was used to compensate the malfunction of the weak astrocyte. Therefore, we designed the tripartite synapses network, which astrocytes dominate the synaptic spaces. Then, the network has been trained on MNIST dataset. After that, the control feedback of astrocyte to pre- and postsynaptic neurons has decreased so that the astrocyte dominance on synaptic transitions decreased and impaired tripartite synapses network has been configured. In the next step, due to the destructive effects of impaired astrocyte, based on the dynamical model of the astrocyte biophysical model, a bio-inspired stimulator was designed. Accordingly, a new concept “Stimulating the impaired astrocytes to compensate their malfunction in pattern recognition” was introduced. This new mechanism was proposed to stimulate the impaired astrocytes in a population of tripartite synapses for restoration of the normal neural oscillations. Reported results confirmed that the increased error of “always firing” in pattern recognition caused by astrocytes dysfunction could be compensated by the bio-inspired stimulator.
Similar content being viewed by others
References
Amiri M, Bahrami F, Janahmadi M (2012a) Functional contributions of astrocytes in synchronization of a neuronal network model. J Theor Biol 292:60–70
Amiri M, Bahrami F, Janahmadi M (2012b) Modified thalamocortical model: a step towards more understanding of the functional contribution of astrocytes to epilepsy. J Comput Neurosci 33(2):285–299
Amiri M, Bahrami F, Janahmadi M (2012c) On the role of astrocytes in epilepsy: a functional modeling approach. Neurosci Res 72(2):172–180
Amiri M, Hosseinmardi N, Bahrami F, Janahmadi M (2013) Astrocyte-neuron interaction as a mechanism responsible for generation of neural synchrony: a study based on modeling and experiments. J Comput Neurosci 34(3):489–504
Amiri M, Amiri M, Nazari S, Faez K (2016) A new bio-inspired stimulator to suppress hyper-synchronized neural firing in a cortical network. J Theor Biol 410:107–118
Booth HD, Hirst WD, Wade-Martins R (2017) The role of astrocyte dysfunction in Parkinson’s disease pathogenesis. Trends Neurosci 40(6):358–370
Chen R, Romero G, Christiansen MG, Mohr A, Anikeeva P (2015) Wireless magnetothermal deep brain stimulation. Science 347(6229):1477–1480
Clarke LE, Barres BA (2013) Emerging roles of astrocytes in neural circuit development. Nat Rev Neurosci 14(5):311–321
Darian-Smith C, Gilbert CD (1994) Axonal sprouting accompanies functional reorganization in adult cat striate cortex. Nature 368(6473):737–740
Diehl PU, Cook M (2015) Unsupervised learning of digit recognition using spike-timing-dependent plasticity. Front Comput Neurosci 9:99
Dossi E, Vasile F, Rouach N (2018) Human astrocytes in the diseased brain. Brain Res Bull 136:139–156
Fields RD, Araque A, Johansen-Berg H, Lim S-S, Lynch G, Nave K-A, Nedergaard M, Perez R, Sejnowski T, Wake H (2013) Glial biology in learning and cognition. The Neuroscientist 20(5):426–431
Halassa MM, Fellin T, Haydon PG (2009a) Tripartite synapses: roles for astrocytic purines in the control of synaptic physiology and behavior. Neuropharmacology 57(4):343–346
Halassa MM, Fellin T, Haydon PG (2009b) Tripartite synapses: roles for astrocytic purines in the control of synaptic physiology and behavior. Neuropharmacology 57(4):343–346
Halassa MM, Florian C, Fellin T, Munoz JR, Lee SY, Abel T, Haydon PG, Frank MG (2009c) Astrocytic modulation of sleep homeostasis and cognitive consequences of sleep loss. Neuron 61:213–219
Henneberger C, Papouin T, Oliet SH, Rusakov DA (2010) Long-term potentiation depends on release of d-serine from astrocytes. Nature 463:232–236
Hogan JA, Lakey JD (2011) Duration and bandwidth limiting: prolate functions, sampling, and applications. Springer, Berlin
Hung J, Colicos MA (2008) Astrocytic Ca 2 + waves guide CNS growth cones to remote regions of neuronal activity. PLoS ONE 3(11):1–10
Izhikevich EM (2003) Simple model of spiking neurons. IEEE Trans Neural Netw 14(6):1569–1572
Jeon S, Nam Y, Cho S (2009) A neural recording and stimulation technique using passivated electrodes and micro-inductors. In: IEEE Asian solid-state circuits conference, 2009
Ji ZG, Wang H (2015) Optogenetic control of astrocytes: is it possible to treat astrocyte-related epilepsy? Brain Res Bull 110:20–25
Kudela P, Franaszczuk PJ, Bergey GK (2003) Changing excitation and inhibition in simulated neural networks: effects on induced bursting behavior. Biol Cybern 88(4):276–285
Lewis S (2015) Nanoscale neuronal activation. Nat Rev Neurosci 16(5):247
Li Y, Rinzel J (1994) Equations for inositol-triphosphate receptor-mediated calcium oscillations derived from a detailed kinetic model: a Hodgkin-Huxley like formalism. J Theor Biol 166:461–473
Linne ML, Jalonen TO (2014) Astrocyte-neuron interactions: from experimental research-based models to translational medicine. Prog Mol Biol Transl Sci 123:191
Liu D, Yue S (2017) Fast unsupervised learning for visual pattern recognition using spike timing dependent plasticity. Neurocomputing 249:212–224
Mazzoni A, Panzeri S, Logothetis NK, Brunel N (2008) Encoding of naturalistic stimuli by local field potential spectra in networks of excitatory and inhibitory neurons. PLoS Comput Biol 4(12):1–20
Montaseri G, Yazdanpanah MJ, Amiri M (2011) Astrocyte-inspired controller design for desynchronization of two coupled limit-cycle oscillators. 2011 third world congress on nature and biologically inspired computing
Moran M (2017) A noninvasive novel method of deep brain stimulation in animal model. Neurol Today 17(13):16–19
Nazari S, Faez K, Janahmadi M (2018) A new approach to detect the coding rule of the cortical spiking model in the information transmission. Neural Netw 99:68–78
Ooyen AV, Zagolla V, Ulrich C, Schnakenberg U (2009) Pulse-clamp technique for single neuron stimulation electrode characterization. In: Annual international conference of the IEEE engineering in medicine and biology society, 2009
Papa M, De Luca C, Petta F, Alberghina L, Cirillo G (2014) Astrocyte–neuron interplay in maladaptive plasticity. Neurosci Biobehav Rev 42:35–54
Perea G, Araque A (2005) Properties of synaptically evoked astrocyte calcium signal reveal synaptic information processing by astrocytes. J Neurosci 25(9):2192–2203
Perea G, Yang A, Boyden ES, Sur M (2014) Optogenetic astrocyte activation modulates response selectivity of visual cortex neurons in vivo. Nat Commun 5(1)
Postnov DE, Koreshkov RN, Brazhe NA, Brazhe AR, Sosnovtseva OV (2009) Dynamical patterns of calcium signaling in a functional model of neuron–astrocyte networks. J Biol Phys 35(4):425–445
Querlioz D, Bichler O, Dollfus P, Gamrat C (2013) Immunity to device variations in a spiking neural network with memristive nanodevices. IEEE Trans Nanotechnol 12(3):288–295
Santello M, Volterra A (2009) Synaptic modulation by astrocytes via Ca2+-dependent glutamate release. Neuroscience 158(1):253–259
Santello M, Calì C, Bezzi P (2012) Gliotransmission and the tripartite synapse. Synaptic Plast 970:307–331
Schafer DP, Lehrman EK, Kautzman AG, Koyama R, Mardinly AR, Yamasaki R, Stevens B (2012) Microglia sculpt postnatal neural circuits in an activity and complement-dependent manner. Neuron 74(4):691–705
Seifert G, Steinhäuser C (2013) Neuron–astrocyte signaling and epilepsy. Exp Neurol 244:4–10
Shepherd JD, Huganir RL (2007) The cell biology of synaptic plasticity: AMPA receptor trafficking. Annu Rev Cell Dev Biol 23(1):613–643
Skangiel-Kramska J, Głażewski S, Jabłońska B, Siucińska E, Kossut M (1994) Reduction of GABAA receptor binding of [3H]muscimol in the barrel field of mice after peripheral denervation: transient and long-lasting effects. Exp Brain Res 100(1):39–46
Slepian D (1964) Prolate spheroidal wave functions, Fourier analysis and uncertainty—IV: extensions to many dimensions; generalized prolate spheroidal functions. Bell Syst Tech J 43(6):3009–3057
Slepian D (1978) Prolate spheroidal wave functions, fourier analysis, and uncertainty—V: the discrete case. Bell Labs Tech J 57(5):1371–1430
Slepian D, Pollak H (1961) Prolate spheroidal wave functions, fourier analysis and uncertainty—I. Bell Labs Tech J 40(1):43–63
Tang J, Ma J, Yi M, Xia H, Yang X (2011) Delay and diversity-induced synchronization transitions in a small-world neuronal network. Phys Rev E 83(4):046207–1–046207–6
Terman D, Rubin JE, Yew AC, Wilson CJ (2002) Activity patterns in a model for the subthalamopallidal network of the basal ganglia. J Neurosci 22(7):2963–2976
Thompson AC, Stoddart PR, Jansen ED (2015) Optical stimulation of neurons. Curr Mol Imag 3(2):162–177
Verkhratsky A, Nedergaard M (2014) Astroglial cradle in the life of the synapse. Philos Trans R Soc B: Biol Sci 369(1654):1–9
Yang X, Liu Y, Long T (2013) Robust non-homogeneity detection algorithm based on prolate spheroidal wave functions for space-time adaptive processing. IET Radar Sonar Navig 7(1):47–54
Author information
Authors and Affiliations
Corresponding author
Ethics declarations
Conflict of interest
We do not have any conflict of interest.
Ethical approval
This article does not contain any studies with human participants or animals performed by any of the authors.
Informed consent
Informed consent was obtained from all individual participants included in the study.
Additional information
Communicated by V. Loia.
Publisher's Note
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Rights and permissions
About this article
Cite this article
Nazari, S., Faez, K. Empowering the impaired astrocytes in the tripartite synapses to improve accuracy of pattern recognition. Soft Comput 23, 8307–8319 (2019). https://doi.org/10.1007/s00500-018-03671-z
Published:
Issue Date:
DOI: https://doi.org/10.1007/s00500-018-03671-z