Abstract
Many of the current artificial intelligence (AI) applications that are rapidly becoming indispensable in our society rely on software-based artificial neural networks or deep learning algorithms that are powerful, but energy-inefficient. The brain in comparison is highly efficient at similar classification and pattern finding tasks. Neuromorphic engineering attempts to take advantage of the efficiency of the brain by mimicking several crucial concepts to efficiently emulate AI tasks. Organic electronic materials have been particularly successful in mimicking both the basic functionality of the brain, including important spiking phenomena, but also in low-power operation of hardware-implemented artificial neural networks as well as interfacing with physiological environments due to their biocompatible nature. This article provides an overview of the basic functional operation of the brain and its artificial counterparts, with a particular focus on organic materials and devices. We highlight efforts to mimic brain functions such as spatiotemporal processing, homeostasis, and functional connectivity and emphasize current challenges for efficient neuromorphic computing applications. Finally, we present our view of future directions in this exciting and rapidly growing field of organic neuromorphic devices.
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References
E.R. Kandel, S. Mack, Principles of Neural Science, McGraw-Hill, New York (2014).
Y. LeCun, Y. Bengio, G. Hinton, Nature 521, 436 (2015).
D. Silver, A. Huang, C. J. Maddison, A. Guez, L. Sifre, G. van den Driessche, J. Schrittwieser, I. Antonoglou, V. Panneershelvam, M. Lanctot, S. Dieleman, D. Grewe, J. Nham, N. Kalchbrenner, I. Sutskever, T. Lillicrap, M. Leach, K. Kavukcuoglu, T. Graepel, D. Hassabis, Nature 529, 484 (2016).
D. Heaven, Nature 574, 163 (2019).
R.W. Picard, E. Vyzas, J. Healey, IEEE Trans. Pattern Anal. Mach. Intell. 23, 1175 (2001).
G. Marcus, Deep Learning: A Critical Appraisal, (2018), arXiv:1801.00631.
C. Mead, Proc. IEEE 78, 1629 (1990).
G. Indiveri, B. Linares-Barranco, T. Hamilton, A. van Schaik, R. Etienne-Cummings, T. Delbruck, S.-C. Liu, P. Dudek, P. Häfliger, S. Renaud, J. Schemmel, G. Cauwenberghs, J. Arthur, K. Hynna, F. Folowosele, S. Saighi, T. Serrano-Gotarredona, J. Wijekoon, Y. Wang, K. Boahen, Front. Neurosci. 5, 73 (2011).
P.A. Merolla, J.V. Arthur, R. Alvarez-Icaza, A.S. Cassidy, J. Sawada, F. Akopyan, B.L. Jackson, N. Imam, C. Guo, Y. Nakamura, B. Brezzo, I. Vo, S.K. Esser, R. Appuswamy, B. Taba, A. Amir, M.D. Flickner, W.P. Risk, R. Manohar, D.S. Modha, Science 345, 668 (2014).
B. Rajendran, A. Sebastian, M. Schmuker, N. Srinivasa, E. Eleftheriou, IEEE Signal Process. Mag. 36, 97 (2019).
M. Prezioso, F. Merrikh-Bayat, B.D. Hoskins, G.C. Adam, K.K. Likharev, D.B. Strukov, Nature 521, 61 (2015).
C. Li, D. Belkin, Y. Li, P. Yan, M. Hu, N. Ge, H. Jiang, E. Montgomery, P. Lin, Z. Wang, W. Song, J.P. Strachan, M. Barnell, Q. Wu, R.S. Williams, J.J. Yang, Q. Xia, Nat. Commun. 9, 2385 (2018).
Z. Wang, H. Wu, G.W. Burr, C.S. Hwang, K.L. Wang, Q. Xia, J.J. Yang, Nat. Rev. Mater. 5, 173 (2020).
G.C. Adam, A. Khiat, T. Prodromakis, Nat. Commun. 9, 5267 (2018).
H.-L. Park, Y. Lee, N. Kim, D.-G. Seo, G.-T. Go, T.-W. Lee, Adv. Mater. 1903558 (2019).
F.D. Broccard, S. Joshi, J. Wang, G. Cauwenberghs, J. Neural Eng. 14, 041002 (2017).
H. Keren, J. Partzsch, S. Marom, C.G. Mayr, Front. Neurosci. 13, 432 (2019).
E.R.W. van Doremaele, P. Gkoupidenis, Y. van de Burgt, J. Mater. Chem. C 7, 12754 (2019).
C. Wan, P. Cai, M. Wang, Y. Qian, W. Huang, X. Chen, Adv. Mater. 1902434 (2019).
C. Wan, K. Xiao, A. Angelin, M. Antonietti, X. Chen, Adv. Intell. Syst. 1900073 (2019).
Y. Lee, T.-W. Lee, Acc. Chem. Res. 52, 964 (2019).
H. Tsai, S. Ambrogio, P. Narayanan, R.M. Shelby, G.W. Burr, J. Phys. D Appl. Phys. 51, 283001 (2018).
Y. Li, Z. Wang, R. Midya, Q. Xia, J.J. Yang, J. Phys. D Appl. Phys. 51, 503002 (2018).
J. Tang, F. Yuan, X. Shen, Z. Wang, M. Rao, Y. He, Y. Sun, X. Li, W. Zhang, Y. Li, B. Gao, H. Qian, G. Bi, S. Song, J.J. Yang, H. Wu, Adv. Mater. 1902761 (2019).
I. Valov, T. Tsuruoka, J. Phys. D Appl. Phys. 51, 413001 (2018).
I. Gupta, A. Serb, A. Khiat, R. Zeitler, S. Vassanelli, T. Prodromakis, Nat. Commun. 7, 12805 (2016).
Y. van de Burgt, A. Melianas, S.T. Keene, G. Malliaras, A. Salleo, Nat. Electron. 1, 386 (2018).
J. Sun, Y. Fu, Q. Wan, J. Phys. D Appl. Phys. 51, 314004 (2018).
C.-H. Oh, H.-J. Shin, W.-J. Nam, B.-C. Ahn, S.-Y. Cha, S.-D. Yeo, SID Symp. Dig. Tech. Pap. 44, 239 (2013).
H.-W. Chen, J.-H. Lee, B.-Y. Lin, S. Chen, S.-T. Wu, Light Sci. Appl. 7, 17168 (2018).
T. Someya, Z. Bao, G.G. Malliaras, Nature 540, 379 (2016).
J. Rogers, G. Malliaras, T. Someya, Sci. Adv. 4, eaav1889 (2018).
H. Ling, D.A. Koutsouras, S. Kazemzadeh, Y.v.d. Burgt, F. Yan, P. Gkoupidenis, Appl. Phys. Rev. 7, 011307 (2020).
S. Goswami, S. Goswami, T. Venkatesan, Appl. Phys. Rev. 7, 021303 (2020).
L.F. Abbott, W.G. Regehr, Nature 431, 796 (2004).
R. Lamprecht, J. LeDoux, Nat. Rev. Neurosci. 5, 45 (2004).
W.S. McCulloch, W. Pitts, Bull. Math. Biophys. 5, 115 (1943).
C. Koch, Biophysics of Computation: Information Processing in Single Neurons (Oxford University Press, New York, 2004).
D.O. Hebb, The Organization of Behavior: A Neuropsychological Theory (Wiley, New York, 1967).
F. Rosenblatt, “The Perceptron: A Perceiving and Recognizing Automaton,” Cornell Aeronautical Laboratory (Rep. 85-46-1, New York, 1957).
A.L. Hodgkin, A.F. Huxley, J. Physiol. 117, 500 (1952).
B. Ding, H. Qian, J. Zhou, in Chin. Cont. and Decision Conf. (CCDC), 1836 (2018).
G.W. Burr, Nat. Mach. Intell. 1, 10 (2019).
R.B. Jacobs-Gedrim, S. Agarwal, K.E. Knisely, J.E. Stevens, M.S.v. Heukelom, D.R. Hughart, J. Niroula, C.D. James, M.J. Marinella, in IEEE Int. Conf. Rebooting Comput. (ICRC), 1 (2017).
S.T. Keene, A. Melianas, E.J. Fuller, Y. van de Burgt, A.A. Talin, A. Salleo, J. Phys. D Appl. Phys. 51, 224002 (2018).
P. Gkoupidenis, N. Schaefer, B. Garlan, G.G. Malliaras, Adv. Mater. 27, 7176 (2015).
P. Gkoupidenis, N. Schaefer, X. Strakosas, J.A. Fairfield, G.G. Malliaras, Appl. Phys. Lett. 107, 263302 (2015).
E.E. Josberger, Y. Deng, W. Sun, R. Kautz, M. Rolandi, Adv. Mater. 26, 4986 (2014).
Y. van de Burgt, E. Lubberman, E.J. Fuller, S.T. Keene, G.C. Faria, S. Agarwal, M.J. Marinella, A.A. Talin, A. Salleo, Nat. Mater. 16, 414 (2017).
N. Raeis Hosseini, J.-S. Lee, ACS Nano 9, 419 (2015).
S. Goswami, A.J. Matula, S.P. Rath, S. Hedström, S. Saha, M. Annamalai, D. Sengupta, A. Patra, S. Ghosh, H. Jani, S. Sarkar, M.R. Motapothula, C.A. Nijhuis, J. Martin, S. Goswami, V.S. Batista, T. Venkatesan, Nat. Mater. 16, 1216 (2017).
S. Goswami, D. Thompson, R.S. Williams, S. Goswami, T. Venkatesan, Appl. Mater. Today 19, 100626 (2020).
Y. Lei, Y. Liu, Y. Xia, X. Gao, B. Xu, S. Wang, J. Yin, Z. Liu, AIP Adv. 4, 077105 (2014).
F. Alibart, S. Pleutin, D. Guérin, C. Novembre, S. Lenfant, K. Lmimouni, C. Gamrat, D. Vuillaume, Adv. Funct. Mater. 20, 330 (2010).
M.H. Amiri, J. Heidler, K. Müllen, P. Gkoupidenis, K. Asadi, Adv. Funct. Mater. 2003085 (2020).
S. Majumdar, H. Tan, Q.H. Qin, S. van Dijken, Adv. Electron. Mater. 5, 1800795 (2019).
B. Tian, L. Liu, M. Yan, J. Wang, Q. Zhao, N. Zhong, P. Xiang, L. Sun, H. Peng, H. Shen, T. Lin, B. Dkhil, X. Meng, J. Chu, X. Tang, C. Duan, Adv. Electron. Mater. 5, 1800600 (2019).
K. Keiichi, A. Tanemasa, T. Wataru, Jpn. J. Appl. Phys. 30, L215 (1991).
V. Erokhin, T. Berzina, M.P. Fontana, J. Appl. Phys. 97, 064501 (2005).
B. Hu, X. Zhu, X. Chen, L. Pan, S. Peng, Y. Wu, J. Shang, G. Liu, Q. Yan, R.-W. Li, J. Am. Chem. Soc. 134, 17408 (2012).
S. Li, F. Zeng, C. Chen, H. Liu, G. Tang, S. Gao, C. Song, Y. Lin, F. Pan, D. Guo, J. Mater. Chem. C 1, 5292 (2013).
W. Xu, S.-Y. Min, H. Hwang, T.-W. Lee, Sci. Adv. 2, e1501326 (2016).
C. Wu, T.W. Kim, H.Y. Choi, D.B. Strukov, J.J. Yang, Nat. Commun. 8, 752 (2017).
A.A. Minnekhanov, A.V. Emelyanov, D.A. Lapkin, K.E. Nikiruy, B.S. Shvetsov, A.A. Nesmelov, V.V. Rylkov, V.A. Demin, V.V. Erokhin, Sci. Rep. 9, 10800 (2019).
Q. Liu, Y. Liu, J. Li, C. Lau, F. Wu, A. Zhang, Z. Li, M. Chen, H. Fu, J. Draper, X. Cao, C. Zhou, ACS Appl. Mater. Interfaces 11, 16749 (2019).
J.Y. Gerasimov, R. Gabrielsson, R. Forchheimer, E. Stavrinidou, D.T. Simon, M. Berggren, S. Fabiano, Adv. Sci. 6, 1801339 (2019).
E.J. Fuller, S.T. Keene, A. Melianas, Z. Wang, S. Agarwal, Y. Li, Y. Tuchman, C.D. James, M.J. Marinella, J.J. Yang, A. Salleo, A.A. Talin, Science 364, 570 (2019).
S.T. Keene, A. Melianas, Y. van de Burgt, A. Salleo, Adv. Electron. Mater. 5, 1800686 (2019).
D.B. Chklovskii, B.W. Mel, K. Svoboda, Nature 431, 782 (2004).
M. Eickenscheidt, E. Singler, T. Stieglitz, Polym. J. 51, 1029 (2019).
F. Molina-Lopez, T. Z. Gao, U. Kraft, C. Zhu, T. Öhlund, R. Pfattner, V.R. Feig, Y. Kim, S. Wang, Y. Yun, Z. Bao, Nat. Commun. 10, 2676 (2019).
Y. Lee, J.Y. Oh, W. Xu, O. Kim, T.R. Kim, J. Kang, Y. Kim, D. Son, J.B.-H. Tok, M.J. Park, Z. Bao, T.-W. Lee, Sci. Adv. 4, eaat7387 (2018).
Y. Kim, A. Chortos, W. Xu, Y. Liu, J.Y. Oh, D. Son, J. Kang, A.M. Foudeh, C. Zhu, Y. Lee, S. Niu, J. Liu, R. Pfattner, Z. Bao, T.-W. Lee, Science 360, 998 (2018).
A. Chen, J. Comput. Electron. 16, 1186 (2017).
V.A. Demin, V.V. Erokhin, A.V. Emelyanov, S. Battistoni, G. Baldi, S. Iannotta, P.K. Kashkarov, M.V. Kovalchuk, Org. Electron. 25, 16 (2015).
A.V. Emelyanov, D.A. Lapkin, V.A. Demin, V.V. Erokhin, S. Battistoni, G. Baldi, A. Dimonte, A.N. Korovin, S. Iannotta, P.K. Kashkarov, M.V. Kovalchuk, Advances 6, 111301 (2016).
S. Battistoni, V. Erokhin, S. Iannotta, J. Phys. D Appl. Phys. 51, 284002 (2018).
G. Tarabella, P. D’Angelo, A. Cifarelli, A. Dimonte, A. Romeo, T. Berzina, V. Erokhina, S. Iannotta, Chem. Sci. 6, 2859 (2015).
A. Romeo, A. Dimonte, G. Tarabella, P. D’Angelo, V. Erokhin, S. Iannotta, APL Mater. 3, 014909 (2015).
S.T. Keene, C. Lubrano, S. Kazemzadeh, A. Melianas, Y. Tuchman, G. Polino, P. Scognamiglio, L. Cinà, A. Salleo, Y. van de Burgt, F. Santoro, Nat. Mater. (2020).
S. Desbiefa, M. di Lauro, S. Casalini, D. Guerina, S. Tortorella, M. Barbalinard, A. Kyndiah, M. Murgi, T. Cramer, F. Biscarini, D. Vuillaumea, Org. Electron. 38, 21 (2016).
A.L. Hodgkin, A.F. Huxley, B. Katz, J. Physiol. 116, 424 (1952).
A.L. Hodgkin, A.F. Huxley, J. Physiol. 116, 473 (1952).
A.L. Hodgkin, A.F. Huxley, J. Physiol. 116, 449 (1952).
L.F. Abbott, Brain Res. Bull. 50, 303 (1999).
R. FitzHugh, Biophys. J. 1, 445 (1961).
R. FitzHugh, Bull. Math. Biophys. 17, 257 (1955).
C. Koch, I. Segev, Methods in Neuronal Modeling: From Ions to Networks, (MIT Press, Cambridge, MA, 2003).
H. Zeng, J.R. Sanes, Nat. Rev. Neurosci. 18, 530 (2017).
R.B. Stein, E.R. Gossen, K.E. Jones, Nat. Rev. Neurosci. 6, 389 (2005).
G.-Q. Bi, M.M. Poo, J. Neurosci. 18, 10464 (1998).
G.Q. Bi, M.M. Poo, Annu. Rev. Neuro Sci. 24, 139 (2001).
W. Gerstner, W.M. Kistler, R. Naud, L. Paninski, Neuronal Dynamics: From Single Neurons to Networks and Models of Cognition (Cambridge University Press, Cambridge, UK, 2016).
F. Ponulak, A. Kasinski, Acta Neurobiol. Exp. (Wars) 71, 409 (2011).
K. Roy, A. Jaiswal, P. Panda, Nature 575, 607 (2019).
M.D. Pickett, G. Medeiros-Ribeiro, R.S. Williams, Nat. Mater. 12, 114 (2013).
W. Yi, K.K. Tsang, S.K. Lam, X. Bai, J.A. Crowell, E.A. Flores, Nat. Commun. 9, 4661 (2018).
K. Abu-Hassan, J.D. Taylor, P.G. Morris, E. Donati, Z.A. Bortolotto, G. Indiveri, J.F.R. Paton, A. Nogaret, Nat. Commun. 10, 5309 (2019).
N. Spruston, W.L. Kath, Nat. Neurosci. 7, 567 (2004).
T. Branco, B.A. Clark, M. Häusser, Science 329, 1671 (2010).
J. Hawkins, S. Blakeslee, On Intelligence (Times Books, New York, 2013).
C. Carr, M. Konishi, J. Neurosci. 10, 3227 (1990).
S. Das, A. Dodda, S. Das, Nat. Commun. 10, 3450 (2019).
G.G. Turrigiano, S.B. Nelson, Nat. Rev. Neurosci. 5, 97 (2004).
L.F. Abbott, S.B. Nelson, Nat. Neurosci. 3, 1178 (2000).
I. Delvendahl, M. Müller, Curr. Opin. Neurobiol. 54, 155 (2019).
Y.H. Huang, O.M. Schlüter, Y. Dong, Behav. Brain Res. 216, 9 (2011).
M. Pignatelli, A. Bonci, Neuron 86, 1145 (2015).
K. Man, A. Damasio, Nat. Mach. Intell. 1, 446 (2019).
J.S. Turner, Philos. Trans. R. Soc. B 374, 20180373 (2019).
D. Debanne, Y. Inglebert, M. Russier, Curr. Opin. Neurobiol. 54, 73 (2019).
G. Buzsáki, C.A. Anastassiou, C. Koch, Nat. Rev. Neurosci. 13, 407 (2012).
C.A. Anastassiou, R. Perin, H. Markram, C. Koch, Nat. Neurosci. 14, 217 (2011).
N. Gupta, S.S. Singh, M. Stopfer, Nat. Commun. 7, 13808 (2016).
F. Varela, J.-P. Lachaux, E. Rodriguez, J. Martinerie, Nat. Rev. Neurosci. 2, 229 (2001).
J. Fell, N. Axmacher, Nat. Rev. Neurosci. 12, 105 (2011).
P. Gkoupidenis, D.A. Koutsouras, T. Lonjaret, J.A. Fairfield, G.G. Malliaras, Sci. Rep. 6, 27007 (2016).
P. Gkoupidenis, S. Rezaei-Mazinani, C.M. Proctor, E. Ismailova, G.G. Malliaras, AIP Adv. 6, 111307 (2016).
S. Wustoni, C. Combe, D. Ohayon, M.H. Akhtar, I. McCulloch, S. Inal, Adv. Funct. Mater. 1904403 (2019).
A. Giovannitti, C.B. Nielsen, J. Rivnay, M. Kirkus, D.J. Harkin, A.J.P. White, H. Sirringhaus, G.G. Malliaras, I. McCulloch, Adv. Funct. Mater. 26, 514 (2016).
S.T. Keene, D. Fogarty, R. Cooke, C.D. Casadevall, A. Salleo, O. Parlak, Adv. Healthc. Mater. 8, 1901321 (2019).
I. Gualandi, D. Tonelli, F. Mariani, E. Scavetta, M. Marzocchi, B. Fraboni, Sci. Rep. 6, 35419 (2016).
H. Tang, P. Lin, H.L.W. Chan, F. Yan, Biosens. Bioelectron. 26, 4559 (2011).
D.A. Koutsouras, G.G. Malliaras, P. Gkoupidenis, MRS Commun. 8, 1 (2018).
P. Gkoupidenis, D.A. Koutsouras, G.G. Malliaras, Nat. Commun. 8, 15448 (2017).
D.A. Koutsouras, T. Prodromakis, G.G. Malliaras, P.W.M. Blom, P. Gkoupidenis, Adv. Intell. Syst. 1, 1900013 (2019).
P. Gkoupidenis. Proc. SPIE, the International Society for Optics and Photonics, 110960K (2019).
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van de Burgt, Y., Gkoupidenis, P. Organic materials and devices for brain-inspired computing: From artificial implementation to biophysical realism. MRS Bulletin 45, 631–640 (2020). https://doi.org/10.1557/mrs.2020.194
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DOI: https://doi.org/10.1557/mrs.2020.194