Skip to main content
Top
Published in: Cognitive Neurodynamics 6/2023

19-12-2022 | Research Article

Spiking image processing unit based on neural analog of Boolean logic operations

Authors: Soheila Nazari, Alireza Keyanfar, Marc M. Van Hulle

Published in: Cognitive Neurodynamics | Issue 6/2023

Log in

Activate our intelligent search to find suitable subject content or patents.

search-config
loading …

Abstract

McCulloch and Pitts hypothesized in 1943 that the brain is entirely composed of logic gates, akin to current computers' IP cores, which led to several neural analogs of Boolean logic. The current study proposes a spiking image processing unit (SIPU) based on spiking frequency gates and coordinate logic operations, as a dynamical model of synapses and spiking neurons. SIPU can imitate DSP functions like edge recognition, picture magnification, noise reduction, etc. but can be extended to cater for more advanced computing tasks. The proposed spiking Boolean logic platform can be used to develop advanced applications without relying on learning or specialized datasets. It could aid in gaining a deeper understanding of complex brain functions and spur new forms of neural analogs.

Dont have a licence yet? Then find out more about our products and how to get one now:

Springer Professional "Wirtschaft+Technik"

Online-Abonnement

Mit Springer Professional "Wirtschaft+Technik" erhalten Sie Zugriff auf:

  • über 102.000 Bücher
  • über 537 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Maschinenbau + Werkstoffe
  • Versicherung + Risiko

Jetzt Wissensvorsprung sichern!

Springer Professional "Technik"

Online-Abonnement

Mit Springer Professional "Technik" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 390 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Maschinenbau + Werkstoffe




 

Jetzt Wissensvorsprung sichern!

Springer Professional "Wirtschaft"

Online-Abonnement

Mit Springer Professional "Wirtschaft" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 340 Zeitschriften

aus folgenden Fachgebieten:

  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Versicherung + Risiko




Jetzt Wissensvorsprung sichern!

Literature
go back to reference Abeles M (1999) Corticonics: neural circuits of the cerebral cortex. Cambridge University Press, Cambridge Abeles M (1999) Corticonics: neural circuits of the cerebral cortex. Cambridge University Press, Cambridge
go back to reference Ahmad S, Tesauro G (1989) Scaling and generalization in neural network. In: Touretzky DS (ed) Advances in neural information processing systems is a conference from MIT press, pp 160–168 Ahmad S, Tesauro G (1989) Scaling and generalization in neural network. In: Touretzky DS (ed) Advances in neural information processing systems is a conference from MIT press, pp 160–168
go back to reference Amiri M, Nazari S, Faez K (2019) Digital realization of the proposed linear model of the H odgkin-H uxley neuron. Int J Circuit Theory Appl 47(3):483–497CrossRef Amiri M, Nazari S, Faez K (2019) Digital realization of the proposed linear model of the H odgkin-H uxley neuron. Int J Circuit Theory Appl 47(3):483–497CrossRef
go back to reference Binder A, Freund R, Oswald M, Vock L (2007) Extended spiking neural P systems with excitatory and inhibitory astrocytes. In: Proceedings of the 8th WSEAS international conference on evolutionary computing, Vancouver, British Columbia, Canada, June 19–21 (2007) Binder A, Freund R, Oswald M, Vock L (2007) Extended spiking neural P systems with excitatory and inhibitory astrocytes. In: Proceedings of the 8th WSEAS international conference on evolutionary computing, Vancouver, British Columbia, Canada, June 19–21 (2007)
go back to reference Ceterchi R, Sburlan D (2004) Simulating Boolean circuits with P systems. In: Membrane computing lecture notes in computer science, pp 104–122 Ceterchi R, Sburlan D (2004) Simulating Boolean circuits with P systems. In: Membrane computing lecture notes in computer science, pp 104–122
go back to reference Chaves M, Albert R, Sontag ED (2005) Robustness and fragility of Boolean models for genetic regulatory networks. J Theor Biol 235(3):431–449PubMedCrossRef Chaves M, Albert R, Sontag ED (2005) Robustness and fragility of Boolean models for genetic regulatory networks. J Theor Biol 235(3):431–449PubMedCrossRef
go back to reference Dayan P (2009) A neurocomputational jeremiad. Nat Neurosci 12(10):1207–1207CrossRef Dayan P (2009) A neurocomputational jeremiad. Nat Neurosci 12(10):1207–1207CrossRef
go back to reference Dietmeyer DL (1971) Logic design of digital systems. Allyn & Bacon, Boston Dietmeyer DL (1971) Logic design of digital systems. Allyn & Bacon, Boston
go back to reference Doya K (2011) Bayesian brain: probabilistic approaches to neural coding. MIT Press, Cambridge Doya K (2011) Bayesian brain: probabilistic approaches to neural coding. MIT Press, Cambridge
go back to reference Dwivedy P, Potnis A, Soofi S, Giri P (2017) Performance comparison of various filters for removing different image noises. In: 2017 international conference on recent innovations in signal processing and embedded systems (RISE). IEEE, pp 181–186 Dwivedy P, Potnis A, Soofi S, Giri P (2017) Performance comparison of various filters for removing different image noises. In: 2017 international conference on recent innovations in signal processing and embedded systems (RISE). IEEE, pp 181–186
go back to reference Fitch FB (1944) McCulloch Warren S. and Pitts Walter. A logical calculus of the ideas immanent in nervous activity. Bulletin of mathematical biophysics, vol. 5 (1943), pp. 115–133. J Symb Log 9(02):49–50CrossRef Fitch FB (1944) McCulloch Warren S. and Pitts Walter. A logical calculus of the ideas immanent in nervous activity. Bulletin of mathematical biophysics, vol. 5 (1943), pp. 115–133. J Symb Log 9(02):49–50CrossRef
go back to reference Gal A, Eytan D, Wallach A, Sandler M, Schiller J, Marom S (2010) Dynamics of excitability over extended timescales in cultured cortical neurons. J Neurosci 30(48):16332–16342PubMedPubMedCentralCrossRef Gal A, Eytan D, Wallach A, Sandler M, Schiller J, Marom S (2010) Dynamics of excitability over extended timescales in cultured cortical neurons. J Neurosci 30(48):16332–16342PubMedPubMedCentralCrossRef
go back to reference Gerstner W, Sprekeler H, Deco G (2012) Theory and simulation in neuroscience. Science 338(6103):60–65PubMedCrossRef Gerstner W, Sprekeler H, Deco G (2012) Theory and simulation in neuroscience. Science 338(6103):60–65PubMedCrossRef
go back to reference Gheorghe M, Konur S, Ipate F (2016) Kernel P Systems and Stochastic P Systems for modelling and formal verification of genetic logic gates. In: Emergence, complexity and computation advances in unconventional computing, pp 661–675 Gheorghe M, Konur S, Ipate F (2016) Kernel P Systems and Stochastic P Systems for modelling and formal verification of genetic logic gates. In: Emergence, complexity and computation advances in unconventional computing, pp 661–675
go back to reference Gilja V, Nuyujukian P, Chestek CA, Cunningham JP, Yu BM, Fan JM, Churchland MM, Kaufman MT, Kao JC, Ryu SI, Shenoy KV (2012) A high-performance neural prosthesis enabled by control algorithm design. Nat Neurosci 15(12):1752–1757PubMedPubMedCentralCrossRef Gilja V, Nuyujukian P, Chestek CA, Cunningham JP, Yu BM, Fan JM, Churchland MM, Kaufman MT, Kao JC, Ryu SI, Shenoy KV (2012) A high-performance neural prosthesis enabled by control algorithm design. Nat Neurosci 15(12):1752–1757PubMedPubMedCentralCrossRef
go back to reference Gutiérrez-Naranjo MA, Leporati A (2009) First steps towards a CPU made of spiking neural P systems. Int J Comput Commun Control 4(3):244CrossRef Gutiérrez-Naranjo MA, Leporati A (2009) First steps towards a CPU made of spiking neural P systems. Int J Comput Commun Control 4(3):244CrossRef
go back to reference Hopfield JJ (1982) Neural networks and physical systems with emergent collective computational abilities. Proceedings of the national academy of sciences 79(8):2554–2558 Hopfield JJ (1982) Neural networks and physical systems with emergent collective computational abilities. Proceedings of the national academy of sciences 79(8):2554–2558
go back to reference Hunt LT, Kolling N, Soltani A, Woolrich MW, Rushworth MFS, Behrens TEJ (2012) Mechanisms underlying cortical activity during value-guided choice. Nat Neurosci 15(3):470–476PubMedPubMedCentralCrossRef Hunt LT, Kolling N, Soltani A, Woolrich MW, Rushworth MFS, Behrens TEJ (2012) Mechanisms underlying cortical activity during value-guided choice. Nat Neurosci 15(3):470–476PubMedPubMedCentralCrossRef
go back to reference Ionescu M, Ishdorj T-O (2005) Boolean circuits and a DNA algorithm in membrane computing. In: International Workshop on Membrane Computing (pp. 272–291). Springer, Berlin, Heidelberg. Ionescu M, Ishdorj T-O (2005) Boolean circuits and a DNA algorithm in membrane computing. In: International Workshop on Membrane Computing (pp. 272–291). Springer, Berlin, Heidelberg.
go back to reference Ionescu M, Sburlan D (2008) Several applications of spiking neural P systems. Comput Inform 27:515–528 Ionescu M, Sburlan D (2008) Several applications of spiking neural P systems. Comput Inform 27:515–528
go back to reference Ionescu M, Păun A, Păun G, Pérez-Jiménez MJ (2006) Computing with spiking neural P systems: traces and small universal systems. In: International Workshop on DNA-Based Computers (pp. 1–16). Springer, Berlin, Heidelberg Ionescu M, Păun A, Păun G, Pérez-Jiménez MJ (2006) Computing with spiking neural P systems: traces and small universal systems. In: International Workshop on DNA-Based Computers (pp. 1–16). Springer, Berlin, Heidelberg
go back to reference Ionescu M, Păun G, Pérez-Jiménez MJ, Rodríguez-Patón A (2011) Spiking neural P systems with several types of spikes. Int J Comput Commun Control 6(4):647CrossRef Ionescu M, Păun G, Pérez-Jiménez MJ, Rodríguez-Patón A (2011) Spiking neural P systems with several types of spikes. Int J Comput Commun Control 6(4):647CrossRef
go back to reference Izhikevich E (2004) Which model to use for cortical spiking neurons? IEEE Trans Neural Netw 15(5):1063–1070PubMedCrossRef Izhikevich E (2004) Which model to use for cortical spiking neurons? IEEE Trans Neural Netw 15(5):1063–1070PubMedCrossRef
go back to reference Izhikevich EM, Hoppensteadt FC (2009) Polychronous wavefront computations. Int J Bifurc Chaos 19(05):1733–1739CrossRef Izhikevich EM, Hoppensteadt FC (2009) Polychronous wavefront computations. Int J Bifurc Chaos 19(05):1733–1739CrossRef
go back to reference Jain L, Lim C (2014) Advances in bio-inspired computing: techniques and applications. Neurocomputing 125:183CrossRef Jain L, Lim C (2014) Advances in bio-inspired computing: techniques and applications. Neurocomputing 125:183CrossRef
go back to reference Jifara W, Jiang F, Rho S, Cheng M, Liu S (2019) Medical image denoising using convolutional neural network: a residual learning approach. J Supercomput 75(2):704–718CrossRef Jifara W, Jiang F, Rho S, Cheng M, Liu S (2019) Medical image denoising using convolutional neural network: a residual learning approach. J Supercomput 75(2):704–718CrossRef
go back to reference Li X, Wang Z, Lu W, Chen Z, Wang Y, Shi X (2015) A Spiking neural system based on DNA strand displacement. J Comput Theor Nanosci 12(2):298–304CrossRef Li X, Wang Z, Lu W, Chen Z, Wang Y, Shi X (2015) A Spiking neural system based on DNA strand displacement. J Comput Theor Nanosci 12(2):298–304CrossRef
go back to reference Litwin-Kumar A, Doiron B (2012) Slow dynamics and high variability in balanced cortical networks with clustered connections. Nat Neurosci 15(11):1498–1505PubMedPubMedCentralCrossRef Litwin-Kumar A, Doiron B (2012) Slow dynamics and high variability in balanced cortical networks with clustered connections. Nat Neurosci 15(11):1498–1505PubMedPubMedCentralCrossRef
go back to reference Maass W (1997) Networks of spiking neurons: the third generation of neural network models. Neural Netw 10(9):1659–1671CrossRef Maass W (1997) Networks of spiking neurons: the third generation of neural network models. Neural Netw 10(9):1659–1671CrossRef
go back to reference Macías-Ramos LF, Pérez-Jiménez MJ (2013) Spiking neural P systems with functional astrocytes. In: Membrane computing lecture notes in computer science, pp 228–242 Macías-Ramos LF, Pérez-Jiménez MJ (2013) Spiking neural P systems with functional astrocytes. In: Membrane computing lecture notes in computer science, pp 228–242
go back to reference Maragos P, Schafer RW (1990) Morphological systems for multidimensional signal processing. Proc IEEE 78(4):690–710CrossRef Maragos P, Schafer RW (1990) Morphological systems for multidimensional signal processing. Proc IEEE 78(4):690–710CrossRef
go back to reference 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):e1000239PubMedPubMedCentralCrossRef 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):e1000239PubMedPubMedCentralCrossRef
go back to reference Mehonic A, Kenyon AJ (2022) Brain-inspired computing needs a master plan. Nature 604(7905):255–260PubMedCrossRef Mehonic A, Kenyon AJ (2022) Brain-inspired computing needs a master plan. Nature 604(7905):255–260PubMedCrossRef
go back to reference Mertzios BG, Tsirikolias K (1998) Coordinate logic filters and their applications in image processing and pattern recognition. Circuits Syst Signal Process 17(4):517–538CrossRef Mertzios BG, Tsirikolias K (1998) Coordinate logic filters and their applications in image processing and pattern recognition. Circuits Syst Signal Process 17(4):517–538CrossRef
go back to reference Mo L, Wang M (2021) LogicSNN: a unified spiking neural networks logical operation paradigm. Electronics 10(17):2123CrossRef Mo L, Wang M (2021) LogicSNN: a unified spiking neural networks logical operation paradigm. Electronics 10(17):2123CrossRef
go back to reference Nahin PJ (2017) The logician and the engineer: how George Boole and Claude Shannon created the information age. Princeton University Press, PrincetonCrossRef Nahin PJ (2017) The logician and the engineer: how George Boole and Claude Shannon created the information age. Princeton University Press, PrincetonCrossRef
go back to reference Nakagawa Y, Rosenfeld A (1978) A note on the use of local rain and max operations in digital picture processing. IEEE Trans Syst Man Cybern SMC-8(8):632–635 Nakagawa Y, Rosenfeld A (1978) A note on the use of local rain and max operations in digital picture processing. IEEE Trans Syst Man Cybern SMC-8(8):632–635
go back to reference Nazari S (2019) Spiking pattern recognition using informative signal of image and unsupervised biologically plausible learning. Neurocomputing 330:196–211CrossRef Nazari S (2019) Spiking pattern recognition using informative signal of image and unsupervised biologically plausible learning. Neurocomputing 330:196–211CrossRef
go back to reference Nazari S, Faez K (2019) Novel systematic mathematical computation based on the spiking frequency gate (SFG): Innovative organization of spiking computer. Inf Sci 474:221–235CrossRef Nazari S, Faez K (2019) Novel systematic mathematical computation based on the spiking frequency gate (SFG): Innovative organization of spiking computer. Inf Sci 474:221–235CrossRef
go back to reference 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 99:68–78PubMedCrossRef 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 99:68–78PubMedCrossRef
go back to reference Neumann JV (1956) Probabilistic logics and the synthesis of reliable organisms from unreliable components. Autom Stud 34:43–98 Neumann JV (1956) Probabilistic logics and the synthesis of reliable organisms from unreliable components. Autom Stud 34:43–98
go back to reference Pan T, Shi X, Zhang Z, Xu F (2018) A small universal spiking neural P system with communication on request. Neurocomputing 275:1622–1628CrossRef Pan T, Shi X, Zhang Z, Xu F (2018) A small universal spiking neural P system with communication on request. Neurocomputing 275:1622–1628CrossRef
go back to reference Parkes AP (2002) Turing machines as computers. In: Introduction to languages, machines and logic, pp 179–201, Springer, London Parkes AP (2002) Turing machines as computers. In: Introduction to languages, machines and logic, pp 179–201, Springer, London
go back to reference Park YS, Lek S (2016) Artificial neural networksnetworks: Multilayer perceptron for ecological modeling. In Developments in environmental modelling 28:123–140 Park YS, Lek S (2016) Artificial neural networksnetworks: Multilayer perceptron for ecological modeling. In Developments in environmental modelling 28:123–140
go back to reference Qian L, Winfree E, Bruck J (2011) Neural network computation with DNA strand displacement cascades. Nature 475(7356):368–372PubMedCrossRef Qian L, Winfree E, Bruck J (2011) Neural network computation with DNA strand displacement cascades. Nature 475(7356):368–372PubMedCrossRef
go back to reference Rosenblatt F (1958) The perceptron: a probabilistic model for information storage and organization in the brain. Psychol Rev 65(6):386–408PubMedCrossRef Rosenblatt F (1958) The perceptron: a probabilistic model for information storage and organization in the brain. Psychol Rev 65(6):386–408PubMedCrossRef
go back to reference Rullen RV, Thorpe SJ (2001) Rate coding versus temporal order coding: what the retinal ganglion cells tell the visual cortex. Neural Comput 13(6):1255–1283PubMedCrossRef Rullen RV, Thorpe SJ (2001) Rate coding versus temporal order coding: what the retinal ganglion cells tell the visual cortex. Neural Comput 13(6):1255–1283PubMedCrossRef
go back to reference Serra J (1983) Image analysis and morphological filters. Academic Press, New York Serra J (1983) Image analysis and morphological filters. Academic Press, New York
go back to reference Serra J, Vincent L (1992) An overview of morphological filtering. Circuits Syst Signal Process 11(1):47–108CrossRef Serra J, Vincent L (1992) An overview of morphological filtering. Circuits Syst Signal Process 11(1):47–108CrossRef
go back to reference Shannon CE (1938) A symbolic analysis of relay and switching circuits. Electr Eng 57(12):713–723CrossRef Shannon CE (1938) A symbolic analysis of relay and switching circuits. Electr Eng 57(12):713–723CrossRef
go back to reference Sharif SMA, Naqvi RA, Biswas M (2020) Learning medical image denoising with deep dynamic residual attention network. Mathematics 8(12):2192CrossRef Sharif SMA, Naqvi RA, Biswas M (2020) Learning medical image denoising with deep dynamic residual attention network. Mathematics 8(12):2192CrossRef
go back to reference Shi X, Wu X, Song T, Li X (2016) Construction of DNA nanotubes with controllable diameters and patterns using hierarchical DNA sub-tiles. Nanoscale 8(31):14785–14792PubMedCrossRef Shi X, Wu X, Song T, Li X (2016) Construction of DNA nanotubes with controllable diameters and patterns using hierarchical DNA sub-tiles. Nanoscale 8(31):14785–14792PubMedCrossRef
go back to reference Song T, Zheng P, Wong MD, Wang X (2016) Design of logic gates using spiking neural P systems with homogeneous neurons and astrocytes-like control. Inf Sci 372:380–391CrossRef Song T, Zheng P, Wong MD, Wang X (2016) Design of logic gates using spiking neural P systems with homogeneous neurons and astrocytes-like control. Inf Sci 372:380–391CrossRef
go back to reference Stoianov I, Zorzi M (2012) Emergence of a ‘visual number sense’ in hierarchical generative models. Nature Neurosci 15(2):194–196 Stoianov I, Zorzi M (2012) Emergence of a ‘visual number sense’ in hierarchical generative models. Nature Neurosci 15(2):194–196
go back to reference Sutton RS (1992) Introduction: the challenge of reinforcement learning. In: Reinforcement learning (pp. 1–3). Springer, Boston, MA Sutton RS (1992) Introduction: the challenge of reinforcement learning. In: Reinforcement learning (pp. 1–3). Springer, Boston, MA
go back to reference Tsifikolias K, Mertzios BG (1993) Edge extraction and enhancement using coordinate logic filters. In: Proceedings of the international conference on image processing: theory and applications, San Remo, Italy, June 14–16, pp 251–254 Tsifikolias K, Mertzios BG (1993) Edge extraction and enhancement using coordinate logic filters. In: Proceedings of the international conference on image processing: theory and applications, San Remo, Italy, June 14–16, pp 251–254
go back to reference Tsirikolias K, Mertzios BG (1991) Logic filters in image processing. In: Proceedings of the international conference on digital signal processing, Florence, Italy, Sept. 4–6, pp 285–287 Tsirikolias K, Mertzios BG (1991) Logic filters in image processing. In: Proceedings of the international conference on digital signal processing, Florence, Italy, Sept. 4–6, pp 285–287
go back to reference Turing AM (1937) On computable numbers, with an application to the entscheidungsproblem. Proc Lond Math Soc s2-42(1):230–265CrossRef Turing AM (1937) On computable numbers, with an application to the entscheidungsproblem. Proc Lond Math Soc s2-42(1):230–265CrossRef
go back to reference Turing AM (1938) On computable numbers, with an application to the Entscheidungsproblem. A correction. Proc Lond Math Soc 2–43(1):544–546CrossRef Turing AM (1938) On computable numbers, with an application to the Entscheidungsproblem. A correction. Proc Lond Math Soc 2–43(1):544–546CrossRef
go back to reference Vardi R, Timor R, Marom S, Abeles M, Kanter I (2012) Synchronization with mismatched synaptic delays: a unique role of elastic neuronal latency. Europhys Lett: EPL 100(4):48003CrossRef Vardi R, Timor R, Marom S, Abeles M, Kanter I (2012) Synchronization with mismatched synaptic delays: a unique role of elastic neuronal latency. Europhys Lett: EPL 100(4):48003CrossRef
go back to reference Vardi R, Guberman S, Goldental A, Kanter I (2013) An experimental evidence-based computational paradigm for new logic-gates in neuronal activity. Europhys Lett: EPL 103(6):66001CrossRef Vardi R, Guberman S, Goldental A, Kanter I (2013) An experimental evidence-based computational paradigm for new logic-gates in neuronal activity. Europhys Lett: EPL 103(6):66001CrossRef
go back to reference Yen N, Hsu C-H, Jin Q, Kao O (2018) Special issue on ‘Advances in human-like intelligence towards next-generation web.’ Neurocomputing 279:1–2CrossRef Yen N, Hsu C-H, Jin Q, Kao O (2018) Special issue on ‘Advances in human-like intelligence towards next-generation web.’ Neurocomputing 279:1–2CrossRef
go back to reference Zhang J, Zhu Y, Pan Y, Li T (2016) Efficient parallel Boolean matrix based algorithms for computing composite rough set approximations. Inf Sci 329:287–302CrossRef Zhang J, Zhu Y, Pan Y, Li T (2016) Efficient parallel Boolean matrix based algorithms for computing composite rough set approximations. Inf Sci 329:287–302CrossRef
go back to reference Zhang K, Zuo W, Chen Y, Meng D, Zhang L (2017) Beyond a Gaussian denoiser: residual learning of deep CNN for image denoising. IEEE Trans Image Process 26(7):3142–3155PubMedCrossRef Zhang K, Zuo W, Chen Y, Meng D, Zhang L (2017) Beyond a Gaussian denoiser: residual learning of deep CNN for image denoising. IEEE Trans Image Process 26(7):3142–3155PubMedCrossRef
Metadata
Title
Spiking image processing unit based on neural analog of Boolean logic operations
Authors
Soheila Nazari
Alireza Keyanfar
Marc M. Van Hulle
Publication date
19-12-2022
Publisher
Springer Netherlands
Published in
Cognitive Neurodynamics / Issue 6/2023
Print ISSN: 1871-4080
Electronic ISSN: 1871-4099
DOI
https://doi.org/10.1007/s11571-022-09917-9

Other articles of this Issue 6/2023

Cognitive Neurodynamics 6/2023 Go to the issue