default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDNeural Computation, Volume 35
Volume 35, Number 1, January 2023
- Xianchen Zhou, Hongxia Wang:
On the Explainability of Graph Convolutional Network With GCN Tangent Kernel. 1-26
- Fabian A. Mikulasch, Lucas Rudelt, Viola Priesemann:
Visuomotor Mismatch Responses as a Hallmark of Explaining Away in Causal Inference. 27-37 - Zhengqi He
, Taro Toyoizumi:
Progressive Interpretation Synthesis: Interpreting Task Solving by Quantifying Previously Used and Unused Information. 38-57 - Zhenguo Wu, Jiaqi Lv, Masashi Sugiyama:
Learning With Proper Partial Labels. 58-81 - Takahiro Kawashima, Hideitsu Hino:
Gaussian Process Koopman Mode Decomposition. 82-103
Volume 35, Number 2, February 2023
- Naoki Hiratani, Haim Sompolinsky:
Optimal Quadratic Binding for Relational Reasoning in Vector Symbolic Neural Architectures. 105-155 - Volker Tresp, Sahand Sharifzadeh, Hang Li, Dario Konopatzki, Yunpu Ma:
The Tensor Brain: A Unified Theory of Perception, Memory, and Semantic Decoding. 156-227 - Hang Li, Chen Ma, Xi Chen, Xue Liu:
Dynamic Consolidation for Continual Learning. 228-248
- Zhixian Han, Anne B. Sereno:
Identifying and Localizing Multiple Objects Using Artificial Ventral and Dorsal Cortical Visual Pathways. 249-275
Volume 35, Number 3, March 2023
- Antonio Damasio, Hanna Damasio:
Feelings Are the Source of Consciousness. 277-286 - Richard Lippmann:
Understanding and Applying Deep Learning. 287-308 - Terrence J. Sejnowski:
Large Language Models and the Reverse Turing Test. 309-342
- Carver Mead:
Neuromorphic Engineering: In Memory of Misha Mahowald. 343-383 - Stephen G. Lisberger:
Toward a Biomimetic Neural Circuit Model of Sensory-Motor Processing. 384-412
- Geoffrey E. Hinton:
How to Represent Part-Whole Hierarchies in a Neural Network. 413-452 - Luciano Dyballa, Steven W. Zucker:
IAN: Iterated Adaptive Neighborhoods for Manifold Learning and Dimensionality Estimation. 453-524 - Alex Pentland:
Toward Network Intelligence. 525-535
- Eric B. Baum:
TruthSift: A Platform for Collective Rationality. 536-553
Volume 35, Number 4, April 2023
- Chloe N. Winston, Dana Mastrovito, Eric Shea-Brown, Stefan Mihalas:
Heterogeneity in Neuronal Dynamics Is Learned by Gradient Descent for Temporal Processing Tasks. 555-592 - Anand Gopalakrishnan, Kazuki Irie, Jürgen Schmidhuber, Sjoerd van Steenkiste:
Unsupervised Learning of Temporal Abstractions With Slot-Based Transformers. 593-626
- Yichen Zhang, Kai Du, Tiejun Huang:
Heuristic Tree-Partition-Based Parallel Method for Biophysically Detailed Neuron Simulation. 627-644 - Yuto Yoshikai, Tianyi Zheng, Kiyoshi Kotani, Yasuhiko Jimbo:
Macroscopic Gamma Oscillation With Bursting Neuron Model Under Stochastic Fluctuation. 645-670 - Arooj Nawaz, Osman Hasan, Shaista Jabeen:
Formal Verification of Deep Brain Stimulation Controllers for Parkinson's Disease Treatment. 671-698 - Hirotaka Hachiya, Sujun Hong:
Multistream-Based Marked Point Process With Decomposed Cumulative Hazard Functions. 699-726 - Alfredo Nazábal, Nikolaos Tsagkas, Christopher K. I. Williams:
Inference and Learning for Generative Capsule Models. 727-761
Volume 35, Number 5, May 2023
- Andreas Bahmer, Daya Shankar Gupta, Felix Effenberger:
Modern Artificial Neural Networks: Is Evolution Cleverer? 763-806
- Lancelot Da Costa, Noor Sajid, Thomas Parr, Karl J. Friston, Ryan Smith:
Reward Maximization Through Discrete Active Inference. 807-852
- Reza Sharif Razavian, Mohsen Sadeghi, Salah Bazzi, Rashida Nayeem, Dagmar Sternad:
Body Mechanics, Optimality, and Sensory Feedback in the Human Control of Complex Objects. 853-895 - Eddy Kwessi:
Strong Allee Effect Synaptic Plasticity Rule in an Unsupervised Learning Environment. 896-929 - Elena Agliari, Miriam Aquaro, Adriano Barra, Alberto Fachechi, Chiara Marullo:
From Pavlov Conditioning to Hebb Learning. 930-957 - Yinfeng Yu, Lele Cao, Fuchun Sun, Chao Yang, Huicheng Lai, Wenbing Huang:
Echo-Enhanced Embodied Visual Navigation. 958-976 - Shotaro Watanabe, Hidetoshi Matsui:
Classification From Positive and Biased Negative Data With Skewed Labeled Posterior Probability. 977-994
Volume 35, Number 6, June 2023
- Lea Duncker, Kiersten M. Ruda, Greg D. Field, Jonathan W. Pillow:
Scalable Variational Inference for Low-Rank Spatiotemporal Receptive Fields. 995-1027 - Zhuojun Yu, Jonathan E. Rubin, Peter J. Thomas:
Sensitivity to Control Signals in Triphasic Rhythmic Neural Systems: A Comparative Mechanistic Analysis via Infinitesimal Local Timing Response Curves. 1028-1085
- Ryota Kawasumi, Koujin Takeda:
Automatic Hyperparameter Tuning in Sparse Matrix Factorization. 1086-1099 - Ido Ben-Shaul, Leah Bar, Dalia Fishelov, Nir A. Sochen:
Deep Learning Solution of the Eigenvalue Problem for Differential Operators. 1100-1134 - Shuo Huang, Junyu Zhou, Han Feng, Ding-Xuan Zhou:
Generalization Analysis of Pairwise Learning for Ranking With Deep Neural Networks. 1135-1158
Volume 35, Number 7, July 2023
- Denis Kleyko, Connor Bybee, Ping-Chen Huang, Christopher J. Kymn, Bruno A. Olshausen, Edward Paxon Frady, Friedrich T. Sommer:
Efficient Decoding of Compositional Structure in Holistic Representations. 1159-1186
- Ganchao Wei, Ian H. Stevenson:
Dynamic Modeling of Spike Count Data With Conway-Maxwell Poisson Variability. 1187-1208 - Loïs Naudin, Laetitia Raison-Aubry, Laure Buhry:
Conductance-Based Phenomenological Nonspiking Model: A Dimensionless and Simple Model That Reliably Predicts the Effects of Conductance Variations on Nonspiking Neuronal Dynamics. 1209-1233 - Zhanliang Huang, Yunwen Lei, Ata Kabán:
Optimization and Learning With Randomly Compressed Gradient Updates. 1234-1287 - Yuhui Zhang, Yuichiro Wada, Hiroki Waida, Kaito Goto, Yusaku Hino, Takafumi Kanamori:
Deep Clustering With a Constraint for Topological Invariance Based on Symmetric InfoNCE. 1288-1339 - Yukito Iba, Keisuke Yano:
Posterior Covariance Information Criterion for Weighted Inference. 1340-1361
Volume 35, Number 8, August 2023
- Sylvia C. L. Durian, Mark Agrios, Gregory W. Schwartz:
Optimal Burstiness in Populations of Spiking Neurons Facilitates Decoding of Decreases in Tonic Firing. 1363-1403 - Yao Lei Xu, Kriton Konstantinidis, Danilo P. Mandic:
Graph-Regularized Tensor Regression: A Domain-Aware Framework for Interpretable Modeling of Multiway Data on Graphs. 1404-1429
- Takashi Kanamaru, Takao K. Hensch, Kazuyuki Aihara:
Maximal Memory Capacity Near the Edge of Chaos in Balanced Cortical E-I Networks. 1430-1462 - Toshihiro Ota, Ryo Karakida:
Attention in a Family of Boltzmann Machines Emerging From Modern Hopfield Networks. 1463-1480
Volume 35, Number 9, September 2023
- Benoit Duchet, Christian Bick, Áine Byrne:
Mean-Field Approximations With Adaptive Coupling for Networks With Spike-Timing-Dependent Plasticity. 1481-1528
- Hyungjoon Soh, Dongyeob Kim, Juno Hwang, Junghyo Jo:
Mirror Descent of Hopfield Model. 1529-1542 - Huixiong Chen, Qi Ye:
Composite Optimization Algorithms for Sigmoid Networks. 1543-1565 - Changcun Huang:
On an Interpretation of ResNets via Gate-Network Control. 1566-1592 - Chunming Jiang, Yilei Zhang:
A Noise-Based Novel Strategy for Faster SNN Training. 1593-1608
Volume 35, Number 10, October 2023
- Yuri Dabaghian:
Grid Cell Percolation. 1609-1626 - Florian Bacho, Dominique F. Chu:
Exploring Trade-Offs in Spiking Neural Networks. 1627-1656
- Tingting Zhao, S. Wu, G. Li, Y. Chen, Gang Niu, Masashi Sugiyama:
Learning Intention-Aware Policies in Deep Reinforcement Learning. 1657-1677 - Tak Shing Au Yeung, Ka Chun Cheung, Michael K. Ng, Simon See, Andy M. Yip:
Transfer Learning With Singular Value Decomposition of Multichannel Convolution Matrices. 1678-1712
Volume 35, Number 11, November 2023
- Eddie Seabrook, Laurenz Wiskott:
A Tutorial on the Spectral Theory of Markov Chains. 1713-1796
- Yang Shen, Sanjoy Dasgupta, Saket Navlakha:
Reducing Catastrophic Forgetting With Associative Learning: A Lesson From Fruit Flies. 1797-1819 - Hengyuan Ma, Yang Qi, Pulin Gong, Jie Zhang, Wenlian Lu, Jianfeng Feng:
Self-Organization of Nonlinearly Coupled Neural Fluctuations Into Synergistic Population Codes. 1820-1849
- 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. 1850-1869 - Yoshiaki Taniai:
Optimal Feedback Control for the Proportion of Energy Cost in the Upper-Arm Reaching Movement. 1870-1880
Volume 35, Number 12, December 2023
- Umais Zahid, Qinghai Guo, Zafeirios Fountas:
Predictive Coding as a Neuromorphic Alternative to Backpropagation: A Critical Evaluation. 1881-1909 - 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? 1910-1937
- Emma Wilson:
Adaptive Filter Model of Cerebellum for Biological Muscle Control With Spike Train Inputs. 1938-1969 - Hiroyuki Hanada, Noriaki Hashimoto, Kouichi Taji, Ichiro Takeuchi:
Generalized Low-Rank Update: Model Parameter Bounds for Low-Rank Training Data Modifications. 1970-2005 - Laura Smets, Werner Van Leekwijck, Ing Jyh Tsang, Steven Latré:
Training a Hyperdimensional Computing Classifier Using a Threshold on Its Confidence. 2006-2023
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
last updated on 2024-11-22 19:44 CET by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by:
