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Publication search results
found 102 matches
- 2021
- German Abrevaya, Guillaume Dumas, Aleksandr Y. Aravkin, Peng Zheng, Jean-Christophe Gagnon-Audet, James R. Kozloski, Pablo Polosecki, Guillaume Lajoie, David D. Cox, Silvina Ponce Dawson, Guillermo A. Cecchi, Irina Rish:
Learning Brain Dynamics With Coupled Low-Dimensional Nonlinear Oscillators and Deep Recurrent Networks. Neural Comput. 33(8): 2087-2127 (2021) - Sneha Aenugu, David E. Huber:
Asymmetric Weights and Retrieval Practice in an Autoassociative Neural Network Model of Paired-Associate Learning. Neural Comput. 33(12): 3351-3360 (2021) - Noura Alotaibi, Koushik Maharatna:
Classification of Autism Spectrum Disorder From EEG-Based Functional Brain Connectivity Analysis. Neural Comput. 33(7): 1914-1941 (2021) - Yalda Amidi, Behzad Nazari, Saeid Sadri, Ali Yousefi:
Parameter Estimation in Multiple Dynamic Synaptic Coupling Model Using Bayesian Point Process State-Space Modeling Framework. Neural Comput. 33(5): 1269-1299 (2021) - Omri Barak, Sandro Romani:
Mapping Low-Dimensional Dynamics to High-Dimensional Neural Activity: A Derivation of the Ring Model From the Neural Engineering Framework. Neural Comput. 33(3): 827-852 (2021) - Manuel Beiran, Alexis M. Dubreuil, Adrian Valente, Francesca Mastrogiuseppe, Srdjan Ostojic:
Shaping Dynamics With Multiple Populations in Low-Rank Recurrent Networks. Neural Comput. 33(6): 1572-1615 (2021) - Himesh Bhatia, William Paul, Fady Alajaji, Bahman Gharesifard, Philippe Burlina:
Least kth-Order and Rényi Generative Adversarial Networks. Neural Comput. 33(9): 2473-2510 (2021) - Nicholas M. Boffi, Jean-Jacques E. Slotine:
Implicit Regularization and Momentum Algorithms in Nonlinearly Parameterized Adaptive Control and Prediction. Neural Comput. 33(3): 590-673 (2021) - João Angelo Ferres Brogin, Jean Faber, Douglas Domingues Bueno:
Burster Reconstruction Considering Unmeasurable Variables in the Epileptor Model. Neural Comput. 33(12): 3288-3333 (2021) - Nicola Bulso, Yasser Roudi:
Restricted Boltzmann Machines as Models of Interacting Variables. Neural Comput. 33(10): 2646-2681 (2021) - Théophile Champion, Marek Grzes, Howard Bowman:
Realizing Active Inference in Variational Message Passing: The Outcome-Blind Certainty Seeker. Neural Comput. 33(10): 2762-2826 (2021) - Alejandra Ciria, Guido Schillaci, Giovanni Pezzulo, Verena V. Hafner, Bruno Lara:
Predictive Processing in Cognitive Robotics: A Review. Neural Comput. 33(5): 1402-1432 (2021) - Justin W. M. Domhof, Paul H. E. Tiesinga:
Flexible Frequency Switching in Adult Mouse Visual Cortex Is Mediated by Competition Between Parvalbumin and Somatostatin Expressing Interneurons. Neural Comput. 33(4): 926-966 (2021) - Yaqin Fan, Xile Wei, Guosheng Yi, Meili Lu, Jiang Wang, Bin Deng:
Asymptotic Input-Output Relationship Predicts Electric Field Effect on Sublinear Dendritic Integration of AMPA Synapses. Neural Comput. 33(11): 3102-3138 (2021) - Arnaud Fanthomme, Rémi Monasson:
Low-Dimensional Manifolds Support Multiplexed Integrations in Recurrent Neural Networks. Neural Comput. 33(4): 1063-1112 (2021) - Yunlong Feng:
New Insights Into Learning With Correntropy-Based Regression. Neural Comput. 33(1): 157-173 (2021) - Yunlong Feng, Qiang Wu:
A Framework of Learning Through Empirical Gain Maximization. Neural Comput. 33(6): 1656-1697 (2021) - Khashayar Filom, Roozbeh Farhoodi, Konrad Paul Körding:
On PDE Characterization of Smooth Hierarchical Functions Computed by Neural Networks. Neural Comput. 33(12): 3204-3263 (2021) - María da Fonseca, Inés Samengo:
Statistical Properties of Color Matching Functions. Neural Comput. 33(9): 2578-2601 (2021) - Karl J. Friston, Lancelot Da Costa, Danijar Hafner, Casper Hesp, Thomas Parr:
Sophisticated Inference. Neural Comput. 33(3): 713-763 (2021) - Charles G. Frye, James Simon, Neha S. Wadia, Andrew Ligeralde, Michael Robert DeWeese, Kristofer E. Bouchard:
Critical Point-Finding Methods Reveal Gradient-Flat Regions of Deep Network Losses. Neural Comput. 33(6): 1469-1497 (2021) - David Gabrieli, Samantha N. Schumm, Nicholas F. Vigilante, David F. Meaney:
NMDA Receptor Alterations After Mild Traumatic Brain Injury Induce Deficits in Memory Acquisition and Recall. Neural Comput. 33(1): 67-95 (2021) - Richard C. Gerum, Achim Schilling:
Integration of Leaky-Integrate-and-Fire Neurons in Standard Machine Learning Architectures to Generate Hybrid Networks: A Surrogate Gradient Approach. Neural Comput. 33(10): 2827-2852 (2021) - Tomasz Górski, Damien Depannemaecker, Alain Destexhe:
Conductance-Based Adaptive Exponential Integrate-and-Fire Model. Neural Comput. 33(1): 41-66 (2021) - Marifi Güler:
Multibranch Formal Neuron: An Internally Nonlinear Learning Unit. Neural Comput. 33(10): 2736-2761 (2021) - Ethan Harris, Daniela Mihai, Jonathon S. Hare:
How Convolutional Neural Network Architecture Biases Learned Opponency and Color Tuning. Neural Comput. 33(4): 858-898 (2021) - Tyler L. Hayes, Giri P. Krishnan, Maxim Bazhenov, Hava T. Siegelmann, Terrence J. Sejnowski, Christopher Kanan:
Replay in Deep Learning: Current Approaches and Missing Biological Elements. Neural Comput. 33(11): 2908-2950 (2021) - Casper Hesp, Ryan Smith, Thomas Parr, Micah Allen, Karl J. Friston, Maxwell James D. Ramstead:
Deeply Felt Affect: The Emergence of Valence in Deep Active Inference. Neural Comput. 33(2): 398-446 (2021) - Akke Mats Houben:
Frequency Selectivity of Neural Circuits With Heterogeneous Discrete Transmission Delays. Neural Comput. 33(8): 2068-2086 (2021) - Junhao Huang, Weize Sun, Lei Huang:
Joint Structure and Parameter Optimization of Multiobjective Sparse Neural Network. Neural Comput. 33(4): 1113-1143 (2021)
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