Spiking neural network (English Wikipedia)

Analysis of information sources in references of the Wikipedia article "Spiking neural network" in English language version.

refsWebsite

Global rank English rank

31doi.org

2^nd place

28nih.gov

4^th place

13worldcat.org

5^th place

13semanticscholar.org

11^th place

8^th place

7harvard.edu

18^th place

17^th place

4arxiv.org

69^th place

59^th place

2sciencedirect.com

149^th place

178^th place

2ieee.org

652^nd place

515^th place

2humanbrainproject.eu

low place

2cwi.nl

low place

1books.google.com

3^rd place

1physiology.org

5,293^rd place

7,651^st place

1tudelft.nl

7,640^th place

6,190^th place

1rdcu.be

low place

1psu.edu

207^th place

136^th place

1nytimes.com

7^th place

1uci.edu

3,063^rd place

2,041^st place

arxiv.org

Bellec, Guillaume; Salaj, Darjan; Subramoney, Anand; Legenstein, Robert; Maass, Wolfgang (2018-12-25), Long short-term memory and learning-to-learn in networks of spiking neurons, arXiv:1803.09574
Tavanaei A, Ghodrati M, Kheradpisheh SR, Masquelier T, Maida A (March 2019). "Deep learning in spiking neural networks". Neural Networks. 111: 47–63. arXiv:1804.08150. doi:10.1016/j.neunet.2018.12.002. PMID 30682710. S2CID 5039751.
Kim Y, Park H, Moitra A, Bhattacharjee A, Venkatesha Y, Panda P (2022-01-31). "Rate Coding or Direct Coding: Which One is Better for Accurate, Robust, and Energy-efficient Spiking Neural Networks?". arXiv:2202.03133 [cs.NE].
Pfister JP, Toyoizumi T, Barber D, Gerstner W (June 2006). "Optimal spike-timing-dependent plasticity for precise action potential firing in supervised learning". Neural Computation. 18 (6): 1318–1348. arXiv:q-bio/0502037. Bibcode:2005q.bio.....2037P. doi:10.1162/neco.2006.18.6.1318. PMID 16764506. S2CID 6379045.

books.google.com

Gerstner W (2001). "Spiking Neurons". In Maass W, Bishop CM (eds.). Pulsed Neural Networks. MIT Press. ISBN 978-0-262-63221-8.

cwi.nl

ir.cwi.nl

Bohte S, Kok JN, La Poutré H (2002). "Error-backpropagation in temporally encoded networks of spiking neurons". Neurocomputing. 48 (1–4): 17–37. doi:10.1016/S0925-2312(01)00658-0.
Bohte SM, La Poutré H, Kok JN (March 2002). "Unsupervised clustering with spiking neurons by sparse temporal coding and multilayer RBF networks". IEEE Transactions on Neural Networks. 13 (2): 426–435. doi:10.1109/72.991428. PMID 18244443.

doi.org

Maass W (1997). "Networks of spiking neurons: The third generation of neural network models". Neural Networks. 10 (9): 1659–1671. doi:10.1016/S0893-6080(97)00011-7. ISSN 0893-6080.
Wang, Xiangwen; Lin, Xianghong; Dang, Xiaochao (2020-05-01). "Supervised learning in spiking neural networks: A review of algorithms and evaluations". Neural Networks. 125: 258–280. doi:10.1016/j.neunet.2020.02.011. ISSN 0893-6080. PMID 32146356. S2CID 212638634.
Taherkhani, Aboozar; Belatreche, Ammar; Li, Yuhua; Cosma, Georgina; Maguire, Liam P.; McGinnity, T. M. (2020-02-01). "A review of learning in biologically plausible spiking neural networks". Neural Networks. 122: 253–272. doi:10.1016/j.neunet.2019.09.036. ISSN 0893-6080. PMID 31726331. S2CID 207904985.
Ganguly, Chittotosh; Bezugam, Sai Sukruth; Abs, Elisabeth; Payvand, Melika; Dey, Sounak; Suri, Manan (2024-02-01). "Spike frequency adaptation: bridging neural models and neuromorphic applications". Communications Engineering. 3 (1): 22. doi:10.1038/s44172-024-00165-9. ISSN 2731-3395. PMC 11053160.
Lee D, Lee G, Kwon D, Lee S, Kim Y, Kim J (June 2018). "Flexon: A Flexible Digital Neuron for Efficient Spiking Neural Network Simulations". 2018 ACM/IEEE 45th Annual International Symposium on Computer Architecture (ISCA). pp. 275–288. doi:10.1109/isca.2018.00032. ISBN 978-1-5386-5984-7. S2CID 50778421.
Yamazaki, K.; Vo-Ho, V. K.; Bulsara, D.; Le, N (30 June 2022). "Spiking neural networks and their applications: A review". Brain Sciences. 12 (7): 863. doi:10.3390/brainsci12070863. PMC 9313413. PMID 35884670.
Hodgkin, A. L.; Huxley, A. F. (1952-08-28). "A quantitative description of membrane current and its application to conduction and excitation in nerve". The Journal of Physiology. 117 (4): 500–544. doi:10.1113/jphysiol.1952.sp004764. ISSN 0022-3751. PMC 1392413. PMID 12991237.
Dan, Yang; Poo, Mu-Ming (July 2006). "Spike Timing-Dependent Plasticity: From Synapse to Perception". Physiological Reviews. 86 (3): 1033–1048. doi:10.1152/physrev.00030.2005. ISSN 0031-9333. PMID 16816145.
Nagornov, Nikolay N.; Lyakhov, Pavel A.; Bergerman, Maxim V.; Kalita, Diana I. (2024). "Modern Trends in Improving the Technical Characteristics of Devices and Systems for Digital Image Processing". IEEE Access. 12: 44659–44681. Bibcode:2024IEEEA..1244659N. doi:10.1109/ACCESS.2024.3381493. ISSN 2169-3536.
Maass W (1997). "Networks of spiking neurons: The third generation of neural network models". Neural Networks. 10 (9): 1659–1671. doi:10.1016/S0893-6080(97)00011-7.
Furber, Steve (August 2016). "Large-scale neuromorphic computing systems". Journal of Neural Engineering. 13 (5): 051001. Bibcode:2016JNEng..13e1001F. doi:10.1088/1741-2560/13/5/051001. ISSN 1741-2552. PMID 27529195.
Neftci, Emre O.; Mostafa, Hesham; Zenke, Friedemann (2019). "Surrogate Gradient Learning in Spiking Neural Networks: Bringing the Power of Gradient-Based Optimization to Spiking Neural Networks". IEEE Signal Processing Magazine. 36 (6): 51–63. Bibcode:2019ISPM...36f..51N. doi:10.1109/msp.2019.2931595.
Salaj, Darjan; Subramoney, Anand; Kraisnikovic, Ceca; Bellec, Guillaume; Legenstein, Robert; Maass, Wolfgang (2021-07-26). O'Leary, Timothy; Behrens, Timothy E; Gutierrez, Gabrielle (eds.). "Spike frequency adaptation supports network computations on temporally dispersed information". eLife. 10: e65459. doi:10.7554/eLife.65459. ISSN 2050-084X. PMC 8313230. PMID 34310281.
Izhikevich, E.M. (2004). "Which model to use for cortical spiking neurons?". IEEE Transactions on Neural Networks. 15 (5): 1063–1070. doi:10.1109/tnn.2004.832719. PMID 15484883. S2CID 7354646. Retrieved 2024-02-14.
Querlioz, Damien; Bichler, Olivier; Dollfus, Philippe; Gamrat, Christian (2013). "Immunity to Device Variations in a Spiking Neural Network With Memristive Nanodevices". IEEE Transactions on Nanotechnology. 12 (3): 288–295. Bibcode:2013ITNan..12..288Q. doi:10.1109/TNANO.2013.2250995. S2CID 14416573. Retrieved 2024-02-14.
Yamazaki, Kashu; Vo-Ho, Viet-Khoa; Bulsara, Darshan; Le, Ngan (July 2022). "Spiking Neural Networks and Their Applications: A Review". Brain Sciences. 12 (7): 863. doi:10.3390/brainsci12070863. ISSN 2076-3425. PMC 9313413. PMID 35884670.
Shaban, Ahmed; Bezugam, Sai Sukruth; Suri, Manan (2021-07-09). "An adaptive threshold neuron for recurrent spiking neural networks with nanodevice hardware implementation". Nature Communications. 12 (1): 4234. Bibcode:2021NatCo..12.4234S. doi:10.1038/s41467-021-24427-8. ISSN 2041-1723. PMC 8270926. PMID 34244491.
Alnajjar F, Murase K (2008). "A simple Aplysia-like spiking neural network to generate adaptive behavior in autonomous robots". Adaptive Behavior. 14 (5): 306–324. doi:10.1177/1059712308093869. S2CID 16577867.
Zhang X, Xu Z, Henriquez C, Ferrari S (Dec 2013). "Spike-based indirect training of a spiking neural network-controlled virtual insect". 52nd IEEE Conference on Decision and Control. pp. 6798–6805. CiteSeerX 10.1.1.671.6351. doi:10.1109/CDC.2013.6760966. ISBN 978-1-4673-5717-3. S2CID 13992150.
Tavanaei A, Ghodrati M, Kheradpisheh SR, Masquelier T, Maida A (March 2019). "Deep learning in spiking neural networks". Neural Networks. 111: 47–63. arXiv:1804.08150. doi:10.1016/j.neunet.2018.12.002. PMID 30682710. S2CID 5039751.
Yamazaki K, Vo-Ho VK, Bulsara D, Le N (June 2022). "Spiking Neural Networks and Their Applications: A Review". Brain Sciences. 12 (7): 863. doi:10.3390/brainsci12070863. PMC 9313413. PMID 35884670.
Abbott LF, Nelson SB (November 2000). "Synaptic plasticity: taming the beast". Nature Neuroscience. 3 (S11): 1178–1183. doi:10.1038/81453. PMID 11127835. S2CID 2048100.
Atiya AF, Parlos AG (May 2000). "New results on recurrent network training: unifying the algorithms and accelerating convergence". IEEE Transactions on Neural Networks. 11 (3): 697–709. doi:10.1109/72.846741. PMID 18249797.
Sanaullah S, Koravuna S, Rückert U, Jungeblut T (August 2023). "Evaluation of Spiking Neural Nets-Based Image Classification Using the Runtime Simulator RAVSim". International Journal of Neural Systems. 33 (9): 2350044. doi:10.1142/S0129065723500442. PMID 37604777. S2CID 259445644.
Boyn S, Grollier J, Lecerf G, Xu B, Locatelli N, Fusil S, et al. (April 2017). "Learning through ferroelectric domain dynamics in solid-state synapses". Nature Communications. 8: 14736. Bibcode:2017NatCo...814736B. doi:10.1038/ncomms14736. PMC 5382254. PMID 28368007.
Jin X, Furber SB, Woods JV (2008). "Efficient modelling of spiking neural networks on a scalable chip multiprocessor". 2008 IEEE International Joint Conference on Neural Networks (IEEE World Congress on Computational Intelligence). pp. 2812–2819. doi:10.1109/IJCNN.2008.4634194. ISBN 978-1-4244-1820-6. S2CID 2103654.
Ponulak F, Kasiński A (February 2010). "Supervised learning in spiking neural networks with ReSuMe: sequence learning, classification, and spike shifting". Neural Computation. 22 (2): 467–510. doi:10.1162/neco.2009.11-08-901. PMID 19842989. S2CID 12572538.
Bohte S, Kok JN, La Poutré H (2002). "Error-backpropagation in temporally encoded networks of spiking neurons". Neurocomputing. 48 (1–4): 17–37. doi:10.1016/S0925-2312(01)00658-0.
Pfister JP, Toyoizumi T, Barber D, Gerstner W (June 2006). "Optimal spike-timing-dependent plasticity for precise action potential firing in supervised learning". Neural Computation. 18 (6): 1318–1348. arXiv:q-bio/0502037. Bibcode:2005q.bio.....2037P. doi:10.1162/neco.2006.18.6.1318. PMID 16764506. S2CID 6379045.
Bohte SM, La Poutré H, Kok JN (March 2002). "Unsupervised clustering with spiking neurons by sparse temporal coding and multilayer RBF networks". IEEE Transactions on Neural Networks. 13 (2): 426–435. doi:10.1109/72.991428. PMID 18244443.

dx.doi.org

Furber, Steve (August 2016). "Large-scale neuromorphic computing systems". Journal of Neural Engineering. 13 (5): 051001. Bibcode:2016JNEng..13e1001F. doi:10.1088/1741-2560/13/5/051001. ISSN 1741-2552. PMID 27529195.

harvard.edu

ui.adsabs.harvard.edu

Nagornov, Nikolay N.; Lyakhov, Pavel A.; Bergerman, Maxim V.; Kalita, Diana I. (2024). "Modern Trends in Improving the Technical Characteristics of Devices and Systems for Digital Image Processing". IEEE Access. 12: 44659–44681. Bibcode:2024IEEEA..1244659N. doi:10.1109/ACCESS.2024.3381493. ISSN 2169-3536.
Furber, Steve (August 2016). "Large-scale neuromorphic computing systems". Journal of Neural Engineering. 13 (5): 051001. Bibcode:2016JNEng..13e1001F. doi:10.1088/1741-2560/13/5/051001. ISSN 1741-2552. PMID 27529195.
Neftci, Emre O.; Mostafa, Hesham; Zenke, Friedemann (2019). "Surrogate Gradient Learning in Spiking Neural Networks: Bringing the Power of Gradient-Based Optimization to Spiking Neural Networks". IEEE Signal Processing Magazine. 36 (6): 51–63. Bibcode:2019ISPM...36f..51N. doi:10.1109/msp.2019.2931595.
Querlioz, Damien; Bichler, Olivier; Dollfus, Philippe; Gamrat, Christian (2013). "Immunity to Device Variations in a Spiking Neural Network With Memristive Nanodevices". IEEE Transactions on Nanotechnology. 12 (3): 288–295. Bibcode:2013ITNan..12..288Q. doi:10.1109/TNANO.2013.2250995. S2CID 14416573. Retrieved 2024-02-14.
Shaban, Ahmed; Bezugam, Sai Sukruth; Suri, Manan (2021-07-09). "An adaptive threshold neuron for recurrent spiking neural networks with nanodevice hardware implementation". Nature Communications. 12 (1): 4234. Bibcode:2021NatCo..12.4234S. doi:10.1038/s41467-021-24427-8. ISSN 2041-1723. PMC 8270926. PMID 34244491.
Boyn S, Grollier J, Lecerf G, Xu B, Locatelli N, Fusil S, et al. (April 2017). "Learning through ferroelectric domain dynamics in solid-state synapses". Nature Communications. 8: 14736. Bibcode:2017NatCo...814736B. doi:10.1038/ncomms14736. PMC 5382254. PMID 28368007.
Pfister JP, Toyoizumi T, Barber D, Gerstner W (June 2006). "Optimal spike-timing-dependent plasticity for precise action potential firing in supervised learning". Neural Computation. 18 (6): 1318–1348. arXiv:q-bio/0502037. Bibcode:2005q.bio.....2037P. doi:10.1162/neco.2006.18.6.1318. PMID 16764506. S2CID 6379045.

humanbrainproject.eu

"Neuromorphic Computing". Human Brain Project.
"Hardware: Available Systems". Human Brain Project. Retrieved 2020-05-10.

ieee.org

ieeexplore.ieee.org

Izhikevich, E.M. (2004). "Which model to use for cortical spiking neurons?". IEEE Transactions on Neural Networks. 15 (5): 1063–1070. doi:10.1109/tnn.2004.832719. PMID 15484883. S2CID 7354646. Retrieved 2024-02-14.
Querlioz, Damien; Bichler, Olivier; Dollfus, Philippe; Gamrat, Christian (2013). "Immunity to Device Variations in a Spiking Neural Network With Memristive Nanodevices". IEEE Transactions on Nanotechnology. 12 (3): 288–295. Bibcode:2013ITNan..12..288Q. doi:10.1109/TNANO.2013.2250995. S2CID 14416573. Retrieved 2024-02-14.

nih.gov

pubmed.ncbi.nlm.nih.gov

Wang, Xiangwen; Lin, Xianghong; Dang, Xiaochao (2020-05-01). "Supervised learning in spiking neural networks: A review of algorithms and evaluations". Neural Networks. 125: 258–280. doi:10.1016/j.neunet.2020.02.011. ISSN 0893-6080. PMID 32146356. S2CID 212638634.
Taherkhani, Aboozar; Belatreche, Ammar; Li, Yuhua; Cosma, Georgina; Maguire, Liam P.; McGinnity, T. M. (2020-02-01). "A review of learning in biologically plausible spiking neural networks". Neural Networks. 122: 253–272. doi:10.1016/j.neunet.2019.09.036. ISSN 0893-6080. PMID 31726331. S2CID 207904985.
Yamazaki, K.; Vo-Ho, V. K.; Bulsara, D.; Le, N (30 June 2022). "Spiking neural networks and their applications: A review". Brain Sciences. 12 (7): 863. doi:10.3390/brainsci12070863. PMC 9313413. PMID 35884670.
Hodgkin, A. L.; Huxley, A. F. (1952-08-28). "A quantitative description of membrane current and its application to conduction and excitation in nerve". The Journal of Physiology. 117 (4): 500–544. doi:10.1113/jphysiol.1952.sp004764. ISSN 0022-3751. PMC 1392413. PMID 12991237.
Dan, Yang; Poo, Mu-Ming (July 2006). "Spike Timing-Dependent Plasticity: From Synapse to Perception". Physiological Reviews. 86 (3): 1033–1048. doi:10.1152/physrev.00030.2005. ISSN 0031-9333. PMID 16816145.
Furber, Steve (August 2016). "Large-scale neuromorphic computing systems". Journal of Neural Engineering. 13 (5): 051001. Bibcode:2016JNEng..13e1001F. doi:10.1088/1741-2560/13/5/051001. ISSN 1741-2552. PMID 27529195.
Salaj, Darjan; Subramoney, Anand; Kraisnikovic, Ceca; Bellec, Guillaume; Legenstein, Robert; Maass, Wolfgang (2021-07-26). O'Leary, Timothy; Behrens, Timothy E; Gutierrez, Gabrielle (eds.). "Spike frequency adaptation supports network computations on temporally dispersed information". eLife. 10: e65459. doi:10.7554/eLife.65459. ISSN 2050-084X. PMC 8313230. PMID 34310281.
Izhikevich, E.M. (2004). "Which model to use for cortical spiking neurons?". IEEE Transactions on Neural Networks. 15 (5): 1063–1070. doi:10.1109/tnn.2004.832719. PMID 15484883. S2CID 7354646. Retrieved 2024-02-14.
Laughlin, S. (1981). "A simple coding procedure enhances a neuron's information capacity". Zeitschrift für Naturforschung C. 36 (9–10): 910–912. ISSN 0341-0382. PMID 7303823.
Yamazaki, Kashu; Vo-Ho, Viet-Khoa; Bulsara, Darshan; Le, Ngan (July 2022). "Spiking Neural Networks and Their Applications: A Review". Brain Sciences. 12 (7): 863. doi:10.3390/brainsci12070863. ISSN 2076-3425. PMC 9313413. PMID 35884670.
Shaban, Ahmed; Bezugam, Sai Sukruth; Suri, Manan (2021-07-09). "An adaptive threshold neuron for recurrent spiking neural networks with nanodevice hardware implementation". Nature Communications. 12 (1): 4234. Bibcode:2021NatCo..12.4234S. doi:10.1038/s41467-021-24427-8. ISSN 2041-1723. PMC 8270926. PMID 34244491.
Tavanaei A, Ghodrati M, Kheradpisheh SR, Masquelier T, Maida A (March 2019). "Deep learning in spiking neural networks". Neural Networks. 111: 47–63. arXiv:1804.08150. doi:10.1016/j.neunet.2018.12.002. PMID 30682710. S2CID 5039751.
Yamazaki K, Vo-Ho VK, Bulsara D, Le N (June 2022). "Spiking Neural Networks and Their Applications: A Review". Brain Sciences. 12 (7): 863. doi:10.3390/brainsci12070863. PMC 9313413. PMID 35884670.
Abbott LF, Nelson SB (November 2000). "Synaptic plasticity: taming the beast". Nature Neuroscience. 3 (S11): 1178–1183. doi:10.1038/81453. PMID 11127835. S2CID 2048100.
Atiya AF, Parlos AG (May 2000). "New results on recurrent network training: unifying the algorithms and accelerating convergence". IEEE Transactions on Neural Networks. 11 (3): 697–709. doi:10.1109/72.846741. PMID 18249797.
Sanaullah S, Koravuna S, Rückert U, Jungeblut T (August 2023). "Evaluation of Spiking Neural Nets-Based Image Classification Using the Runtime Simulator RAVSim". International Journal of Neural Systems. 33 (9): 2350044. doi:10.1142/S0129065723500442. PMID 37604777. S2CID 259445644.
Boyn S, Grollier J, Lecerf G, Xu B, Locatelli N, Fusil S, et al. (April 2017). "Learning through ferroelectric domain dynamics in solid-state synapses". Nature Communications. 8: 14736. Bibcode:2017NatCo...814736B. doi:10.1038/ncomms14736. PMC 5382254. PMID 28368007.
Ponulak F, Kasiński A (February 2010). "Supervised learning in spiking neural networks with ReSuMe: sequence learning, classification, and spike shifting". Neural Computation. 22 (2): 467–510. doi:10.1162/neco.2009.11-08-901. PMID 19842989. S2CID 12572538.
Pfister JP, Toyoizumi T, Barber D, Gerstner W (June 2006). "Optimal spike-timing-dependent plasticity for precise action potential firing in supervised learning". Neural Computation. 18 (6): 1318–1348. arXiv:q-bio/0502037. Bibcode:2005q.bio.....2037P. doi:10.1162/neco.2006.18.6.1318. PMID 16764506. S2CID 6379045.
Bohte SM, La Poutré H, Kok JN (March 2002). "Unsupervised clustering with spiking neurons by sparse temporal coding and multilayer RBF networks". IEEE Transactions on Neural Networks. 13 (2): 426–435. doi:10.1109/72.991428. PMID 18244443.

ncbi.nlm.nih.gov

Ganguly, Chittotosh; Bezugam, Sai Sukruth; Abs, Elisabeth; Payvand, Melika; Dey, Sounak; Suri, Manan (2024-02-01). "Spike frequency adaptation: bridging neural models and neuromorphic applications". Communications Engineering. 3 (1): 22. doi:10.1038/s44172-024-00165-9. ISSN 2731-3395. PMC 11053160.
Yamazaki, K.; Vo-Ho, V. K.; Bulsara, D.; Le, N (30 June 2022). "Spiking neural networks and their applications: A review". Brain Sciences. 12 (7): 863. doi:10.3390/brainsci12070863. PMC 9313413. PMID 35884670.
Hodgkin, A. L.; Huxley, A. F. (1952-08-28). "A quantitative description of membrane current and its application to conduction and excitation in nerve". The Journal of Physiology. 117 (4): 500–544. doi:10.1113/jphysiol.1952.sp004764. ISSN 0022-3751. PMC 1392413. PMID 12991237.
Salaj, Darjan; Subramoney, Anand; Kraisnikovic, Ceca; Bellec, Guillaume; Legenstein, Robert; Maass, Wolfgang (2021-07-26). O'Leary, Timothy; Behrens, Timothy E; Gutierrez, Gabrielle (eds.). "Spike frequency adaptation supports network computations on temporally dispersed information". eLife. 10: e65459. doi:10.7554/eLife.65459. ISSN 2050-084X. PMC 8313230. PMID 34310281.
Yamazaki, Kashu; Vo-Ho, Viet-Khoa; Bulsara, Darshan; Le, Ngan (July 2022). "Spiking Neural Networks and Their Applications: A Review". Brain Sciences. 12 (7): 863. doi:10.3390/brainsci12070863. ISSN 2076-3425. PMC 9313413. PMID 35884670.
Shaban, Ahmed; Bezugam, Sai Sukruth; Suri, Manan (2021-07-09). "An adaptive threshold neuron for recurrent spiking neural networks with nanodevice hardware implementation". Nature Communications. 12 (1): 4234. Bibcode:2021NatCo..12.4234S. doi:10.1038/s41467-021-24427-8. ISSN 2041-1723. PMC 8270926. PMID 34244491.
Yamazaki K, Vo-Ho VK, Bulsara D, Le N (June 2022). "Spiking Neural Networks and Their Applications: A Review". Brain Sciences. 12 (7): 863. doi:10.3390/brainsci12070863. PMC 9313413. PMID 35884670.
Boyn S, Grollier J, Lecerf G, Xu B, Locatelli N, Fusil S, et al. (April 2017). "Learning through ferroelectric domain dynamics in solid-state synapses". Nature Communications. 8: 14736. Bibcode:2017NatCo...814736B. doi:10.1038/ncomms14736. PMC 5382254. PMID 28368007.

nytimes.com

Markoff J (8 August 2014). "A new chip functions like a brain, IBM says". The New York Times. p. B1.

physiology.org

Dan, Yang; Poo, Mu-Ming (July 2006). "Spike Timing-Dependent Plasticity: From Synapse to Perception". Physiological Reviews. 86 (3): 1033–1048. doi:10.1152/physrev.00030.2005. ISSN 0031-9333. PMID 16816145.

psu.edu

citeseerx.ist.psu.edu

Zhang X, Xu Z, Henriquez C, Ferrari S (Dec 2013). "Spike-based indirect training of a spiking neural network-controlled virtual insect". 52nd IEEE Conference on Decision and Control. pp. 6798–6805. CiteSeerX 10.1.1.671.6351. doi:10.1109/CDC.2013.6760966. ISBN 978-1-4673-5717-3. S2CID 13992150.

rdcu.be

Shaban, Ahmed; Bezugam, Sai Sukruth; Suri, Manan (2021-07-09). "An adaptive threshold neuron for recurrent spiking neural networks with nanodevice hardware implementation". Nature Communications. 12 (1): 4234. Bibcode:2021NatCo..12.4234S. doi:10.1038/s41467-021-24427-8. ISSN 2041-1723. PMC 8270926. PMID 34244491.

sciencedirect.com

Wang, Xiangwen; Lin, Xianghong; Dang, Xiaochao (2020-05-01). "Supervised learning in spiking neural networks: A review of algorithms and evaluations". Neural Networks. 125: 258–280. doi:10.1016/j.neunet.2020.02.011. ISSN 0893-6080. PMID 32146356. S2CID 212638634.
Taherkhani, Aboozar; Belatreche, Ammar; Li, Yuhua; Cosma, Georgina; Maguire, Liam P.; McGinnity, T. M. (2020-02-01). "A review of learning in biologically plausible spiking neural networks". Neural Networks. 122: 253–272. doi:10.1016/j.neunet.2019.09.036. ISSN 0893-6080. PMID 31726331. S2CID 207904985.

semanticscholar.org

api.semanticscholar.org

Wang, Xiangwen; Lin, Xianghong; Dang, Xiaochao (2020-05-01). "Supervised learning in spiking neural networks: A review of algorithms and evaluations". Neural Networks. 125: 258–280. doi:10.1016/j.neunet.2020.02.011. ISSN 0893-6080. PMID 32146356. S2CID 212638634.
Taherkhani, Aboozar; Belatreche, Ammar; Li, Yuhua; Cosma, Georgina; Maguire, Liam P.; McGinnity, T. M. (2020-02-01). "A review of learning in biologically plausible spiking neural networks". Neural Networks. 122: 253–272. doi:10.1016/j.neunet.2019.09.036. ISSN 0893-6080. PMID 31726331. S2CID 207904985.
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