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2020 – today
- 2024
[j3]Asim Roy, Ali A. Minai, Jean-Philippe Thivierge, Tsvi Achler, Juyang Weng:
Editorial: What AI and Neuroscience Can Learn from Each Other - Open Problems in Models and Theories. Cogn. Comput. 16(5): 2331-2333 (2024)- [j2]Tsvi Achler:
What AI, Neuroscience, and Cognitive Science Can Learn from Each Other: An Embedded Perspective. Cogn. Comput. 16(5): 2428-2436 (2024)
2010 – 2019
- 2015
- [c10]Tsvi Achler:
A Localist Paradigm for Big Data. INNS Conference on Big Data 2015: 356-364 - 2012
- [c9]Tsvi Achler:
Towards Bridging the Gap Between Pattern Recognition and Symbolic Representation Within Neural Networks. NeSy@AAAI 2012 - 2011
- [c8]Tsvi Achler, Luís M. A. Bettencourt:
Evaluating the Contribution of Top-Down Feedback and Post-Learning Reconstruction. BICA 2011: 9-15 - [c7]Tsvi Achler, Luís M. A. Bettencourt, Garrett T. Kenyon:
Asymmetry and Similarity Phenomena in Backwards Masking Experiments Suggest Internal Reconstruction. CogSci 2011 - [i1]Tsvi Achler:
Supervised Generative Reconstruction: An Efficient Way To Flexibly Store and Recognize Patterns. CoRR abs/1112.2988 (2011)
2000 – 2009
- 2009
- [c6]Tsvi Achler, Dervis C. Vural
, Eyal Amir:
Counting objects with biologically inspired regulatory-feedback networks. IJCNN 2009: 36-40 - [c5]Tsvi Achler:
Using non-oscillatory dynamics to disambiguate simultaneous patterns. IJCNN 2009: 41-48 - 2008
- [c4]Tsvi Achler, Eyal Amir:
A Novel Classification Method Using Self-Regulatory Feedback. AAAI Fall Symposium: Biologically Inspired Cognitive Architectures 2008: 4 - [c3]Tsvi Achler, Eyal Amir:
Input Feedback Networks: Classification and Inference Based on Network Structure. AGI 2008: 15-26 - [c2]Tsvi Achler, Cyrus Omar, Eyal Amir:
Shedding weights: More with less. IJCNN 2008: 3020-3027 - [c1]Tsvi Achler, Eyal Amir:
Hybrid Classification and Symbolic-Like Manipulation Using Self-Regulatory Feedback Networks. NeSy 2008 - 2002
- [j1]Tsvi Achler:
Input shunt networks. Neurocomputing 44-46: 249-255 (2002)
Coauthor Index
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