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Publication search results
found 66 matches
- 2023
- Elena Agliari, Miriam Aquaro, Adriano Barra, Alberto Fachechi, Chiara Marullo:
From Pavlov Conditioning to Hebb Learning. Neural Comput. 35(5): 930-957 (2023) - Florian Bacho, Dominique F. Chu:
Exploring Trade-Offs in Spiking Neural Networks. Neural Comput. 35(10): 1627-1656 (2023) - Andreas Bahmer, Daya Shankar Gupta, Felix Effenberger:
Modern Artificial Neural Networks: Is Evolution Cleverer? Neural Comput. 35(5): 763-806 (2023) - Eric B. Baum:
TruthSift: A Platform for Collective Rationality. Neural Comput. 35(3): 536-553 (2023) - Ido Ben-Shaul, Leah Bar, Dalia Fishelov, Nir A. Sochen:
Deep Learning Solution of the Eigenvalue Problem for Differential Operators. Neural Comput. 35(6): 1100-1134 (2023) - Huixiong Chen, Qi Ye:
Composite Optimization Algorithms for Sigmoid Networks. Neural Comput. 35(9): 1543-1565 (2023) - Lancelot Da Costa, Noor Sajid, Thomas Parr, Karl J. Friston
, Ryan Smith:
Reward Maximization Through Discrete Active Inference. Neural Comput. 35(5): 807-852 (2023) - Yuri Dabaghian:
Grid Cell Percolation. Neural Comput. 35(10): 1609-1626 (2023) - Antonio Damasio, Hanna Damasio:
Feelings Are the Source of Consciousness. Neural Comput. 35(3): 277-286 (2023) - Benoit Duchet, Christian Bick, Áine Byrne:
Mean-Field Approximations With Adaptive Coupling for Networks With Spike-Timing-Dependent Plasticity. Neural Comput. 35(9): 1481-1528 (2023) - Lea Duncker, Kiersten M. Ruda, Greg D. Field, Jonathan W. Pillow
:
Scalable Variational Inference for Low-Rank Spatiotemporal Receptive Fields. Neural Comput. 35(6): 995-1027 (2023) - Sylvia C. L. Durian, Mark Agrios
, Gregory W. Schwartz:
Optimal Burstiness in Populations of Spiking Neurons Facilitates Decoding of Decreases in Tonic Firing. Neural Comput. 35(8): 1363-1403 (2023) - Luciano Dyballa
, Steven W. Zucker:
IAN: Iterated Adaptive Neighborhoods for Manifold Learning and Dimensionality Estimation. Neural Comput. 35(3): 453-524 (2023) - Anand Gopalakrishnan, Kazuki Irie, Jürgen Schmidhuber, Sjoerd van Steenkiste:
Unsupervised Learning of Temporal Abstractions With Slot-Based Transformers. Neural Comput. 35(4): 593-626 (2023) - Hirotaka Hachiya, Sujun Hong:
Multistream-Based Marked Point Process With Decomposed Cumulative Hazard Functions. Neural Comput. 35(4): 699-726 (2023) - Zhixian Han
, Anne B. Sereno:
Identifying and Localizing Multiple Objects Using Artificial Ventral and Dorsal Cortical Visual Pathways. Neural Comput. 35(2): 249-275 (2023) - Hiroyuki Hanada, Noriaki Hashimoto, Kouichi Taji, Ichiro Takeuchi:
Generalized Low-Rank Update: Model Parameter Bounds for Low-Rank Training Data Modifications. Neural Comput. 35(12): 1970-2005 (2023) - Zhengqi He, Taro Toyoizumi:
Progressive Interpretation Synthesis: Interpreting Task Solving by Quantifying Previously Used and Unused Information. Neural Comput. 35(1): 38-57 (2023) - Geoffrey E. Hinton:
How to Represent Part-Whole Hierarchies in a Neural Network. Neural Comput. 35(3): 413-452 (2023) - Naoki Hiratani, Haim Sompolinsky:
Optimal Quadratic Binding for Relational Reasoning in Vector Symbolic Neural Architectures. Neural Comput. 35(2): 105-155 (2023) - Changcun Huang:
On an Interpretation of ResNets via Gate-Network Control. Neural Comput. 35(9): 1566-1592 (2023) - Zhanliang Huang, Yunwen Lei
, Ata Kabán:
Optimization and Learning With Randomly Compressed Gradient Updates. Neural Comput. 35(7): 1234-1287 (2023) - Shuo Huang
, Junyu Zhou
, Han Feng
, Ding-Xuan Zhou:
Generalization Analysis of Pairwise Learning for Ranking With Deep Neural Networks. Neural Comput. 35(6): 1135-1158 (2023) - Yukito Iba, Keisuke Yano:
Posterior Covariance Information Criterion for Weighted Inference. Neural Comput. 35(7): 1340-1361 (2023) - Hojin Jang, Syed Suleman Abbas Zaidi, Xavier Boix, Neeraj Prasad, Sharon Gilad-Gutnick, Shlomit Ben-Ami, Pawan Sinha:
Robustness to Transformations Across Categories: Is Robustness Driven by Invariant Neural Representations? Neural Comput. 35(12): 1910-1937 (2023) - Chunming Jiang, Yilei Zhang:
A Noise-Based Novel Strategy for Faster SNN Training. Neural Comput. 35(9): 1593-1608 (2023) - Takashi Kanamaru, Takao K. Hensch, Kazuyuki Aihara:
Maximal Memory Capacity Near the Edge of Chaos in Balanced Cortical E-I Networks. Neural Comput. 35(8): 1430-1462 (2023) - Takahiro Kawashima, Hideitsu Hino:
Gaussian Process Koopman Mode Decomposition. Neural Comput. 35(1): 82-103 (2023) - Ryota Kawasumi, Koujin Takeda:
Automatic Hyperparameter Tuning in Sparse Matrix Factorization. Neural Comput. 35(6): 1086-1099 (2023) - Mikail Khona, Sarthak Chandra, Joy J. Ma, Ila R. Fiete:
Winning the Lottery With Neural Connectivity Constraints: Faster Learning Across Cognitive Tasks With Spatially Constrained Sparse RNNs. Neural Comput. 35(11): 1850-1869 (2023)
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