2024
222. Role of delay in brain dynamics
Y Meir, O Tevet, Y Tzach, S Hodassman and I Kanter
Physica A: Statistical Mechanics and its Applications, Volume 654, Article number 130166(2024)
221. Scaling in Deep and Shallow Learning Architectures
E Koresh, T Halevi, Y Meir, D Dilmoney, T Dror, R Gross, O Tevet, S Hodassman and I Kanter
Physica A: Statistical Mechanics and its Applications
220. Advanced Confidence Methods in Deep Learning
Y Meir, O Tevet, E Koresh, Y Tzach, and I Kanter
Physica A: Statistical Mechanics and its Applications Volume 641, Article number 129758(2024)
219. Towards a universal mechanism for successful deep learning
Y Meir, Y Tzach, S Hodassman, O Tevet, and I Kanter
Scientific Reports volume 14, Article number: 5881 (2024)
218. Hebbian dreaming for small datasets
E. Agliari, F. Alemanno, M. Aquaro, A. Barra, F. Durante and I. Kanter
Neural Networks, Volume 173, Article number 106174 (2024)
217. Statistical mechanics of learning via reverberation in bidirectional associative memories
M. Salomone Centonze, I. Kanter and A. Barra
Physica A: Statistical Mechanics and its Applications Volume 637, Article number 129512 (2024)
216. Efficient shallow learning mechanism as an alternative to deep learning
O. Tevet, R.D. Gross , S. Hodassman , T. Rogachevsky, Y. Tzach , Y. Meir and I. Kanter
Physica A: Statistical Mechanics and its Applications Volume 635, Article number 129513 (2024)
2023
215. Neuronal plasticity features are independent of neuronal holding membrane potential
R. Vardi, Y. Tugendhaft and I Kanter
Physica A: Statistical Mechanics and its Applications Volume 632, Part 1, Article number 129351
214. The mechanism underlying successful deep learning
Y Tzach, Y Meir, O Tevet, R. D. Gross, S Hodassman, R Vardi and I Kanter
https://arxiv.org/abs/2305.18078
213. Enhancing the accuracies by performing pooling decisions adjacent to the output layer
Y Meir, Y Tzach, R. D. Gross, O Tevet, R Vardi and I Kanter
https://www.nature.com/articles/S41598-023-40566-Y
212. Efficient shallow learning as an alternative to deep learning
Y Meir, O Tevet, Y Tzach, S Hodassman, R D. Gross, I Kanter
Scientific Reports volume 13, Article number: 5423(2023)
211. Learning on tree architectures outperforms a convolutional feedforward network
Y Meir, I Ben-Noam, Y Tzach, S Hodassman, I Kanter
Scientific Reports volume 13, Article number: 962 (2023)
210. Supervised Hebbian Learning
F Alemanno, M Aquaro, I Kanter, A Barra, E Agliari
EPL (Europhysics Letters), Volume 141, Number 1 (2023)
2022
209. Recurrent neural networks that generalize from examples and optimize by dreaming
M Aquaro, F Alemanno, I Kanter, F Durante, E Agliari, A Barra
208. Efficient dendritic learning as an alternative to synaptic plasticity hypothesis
S Hodassman, R Vardi , Y Tugendhaft, A Goldental and I Kanter
Scientific Reports volume 12, Article number: 6571 (2022)
207. Brain inspired neuronal silencing mechanism to enable reliable sequence identification
S. Hodassman, Y. Meir, K. Kisos, I. Ben-Noam, Y. Tugendhaft, A. Goldental, R. Vardi and I. Kanter
Scientific Reports volume 12, Article number: 16003 (2022)
206. Long anisotropic absolute refractory periods with rapid rise times to reliable responsiveness
S. Sardi, R. Vardi, Y. Tugendhaft, A. Sheinin, A. Goldental and I. Kanter
Phys. Rev. E (Physical Review E), Volume 105, Number 014401 (2022)
2021
205.
R. Vardi, Y. Tugendhaft, S. Sardi and I. Kanter EPL (Europhysics Letters), Volume 134, Number 6 (2021)
2020
204.
Y. Meir, S. Sardi, S. Hodassman, K. Kisos, I. Ben-Noam, A. Goldental and I. Kanter
Scientific Reports volume 10, Article number: 19628 (2020)
203.
A. Goldental and I. Kanter
Journal of Physics A: Mathematical and Theoretical 53 (41), 414001 (2020)
202.
S. Sardi, R. Vardi, Y. Meir, Y. Tugendhaft, S. Hodassman, A. Goldental and I. Kanter
Scientific Reports, Volume 10, Number 6923 (2020)
2019
201.
S. Sardi, H. Uzan, S. Otmazgin, Y. Aviad, M. Rosenbluh and I. Kanter
EPL (Europhysics Letters), Volume 127, Number 6 (2019)
200.
H. Uzan, S. Sardi, A. Goldental, R. Vardi and I. Kanter
Scientific Reports ,volume 9, Article number: 11558 (2019)
199.
S. Kreinberg, X. Porte, D. Schicke, B. Lingnau, C. Schneider, S. Höfling, I. Kanter, K. Lüdge and S. Reitzenstein
Nature Communications, volume 10, Article number: 1539 (2019)
2018
198.
H. Uzan, S. Sardi1, A. Goldental, R. Vardi and I. Kanter
Scientific Reports 8, 13901. doi:10.1038/s41598-018-31523-1 (2018)
197.
I. Halawa, A. Goldental, Y. Shirota, I. Kanter and W. Paulus
Front. Neurosci. 12:358. doi: 10.3389/fnins.2018.00358 (2018)
196.
S. Sardi, R. Vardi, A. Goldental, Y. Tugendhaft, H. Uzan and I. Kanter
ACS Chem. Neurosci., Article ASAP doi: 10.1021/acschemneuro.8b00204 (2018)
195.
S. Sardi, R. Vardi, A. Goldental, A. Sheinin, H. Uzan and I. Kanter
Scientific Reports 8, 5100. doi:10.1038/s41598-018-23471-7 (2018)
2017
194.
S. Sardi, R. Vardi, A. Sheinin, A. Goldental and I. Kanter
Scientific Reports 7, 18036. doi:10.1038/s41598-017-18363-1 (2017)
193.
I. Halawa, A. Goldental, Y. Shirota, I. Kanter and W. Paulus
Clinical Neurophysiology 128, e178–e303. doi:10.1016/j.clinph.2017.07.311 (2017)
192.
A. Goldental, H. Uzan, S. Sardi, and I. Kanter
Scientific Reports 7, 2700. doi:10.1038/s41598-017-02814-w (2017)
191.
R. Vardi, A. Goldental, A. Sheinin, S. Sardi and I. Kanter
EPL 118 46002. doi: 10.1209/0295-5075/118/46002 (2017)