Connectionists: NEURAL COMPUTATION - June 1, 2021

[Terry Sejnowski]

Neural Computation - Volume 33, Number 6 - June 1, 2021

available online for download now:
http://www.mitpressjournals.org/toc/neco/33/6
http://cognet.mit.edu/content/neural-computation

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Articles

On the Achievability of Blind Source Separation for
High-dimensional Nonlinear Source Mixtures
Takuya Isomura, Taro Toyoizumi

Critical Point-Finding Methods Reveal
Gradient-Flat Regions of Deep Network Losses
Charles G Frye, James Simon, Neha S Wadia, Andrew Ligeralde,
Mike DeWeese, and Kristofer E Bouchard

Letters

Reinforcement Learning in Sparse-Reward Environments
with Hindsight Policy Gradients
Paulo Eduardo Rauber, Avinash Ummadisingu, Filipe Mutz,
and Jurgen Schmidhuber

Might a Single Neuron Solve Interesting Machine Learning Problems
Through Successive Computations on Its Dendritic Tree?
Ilenna Simone Jones, Konrad Paul Kording

Shaping Dynamics With Multiple Populations in
Low-rank Recurrent Networks
Manuel Beiran, Alexis Dubreuil, Adrian Valente,
Francesca Mastrogiuseppe, and Srdjan Ostojic

Online Mental Fatigue Monitoring via Indirect
Brain Dynamics Evaluation
Yuangang Pan, Ivor W. Tsang, Yueming Lyu, Avinash Singh,
and Chin-teng Lin

A Framework of Learning Through Empirical Gain Maximization
Yunlong Feng, Qiang Wu

Noise Robust Projection Rule for Klein Hopfield Neural Networks
Masaki Kobayashi


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