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Neural Computation|November 22, 2016
Neural Circuits Trained with Standard Reinforcement Learning Can Accumulate Probabilistic Information during Decision MakingNils Kurzawa, Christopher Summerfield, Rafal BogaczNeural Computation|November 22, 2016
Exponentially Long Orbits in Hopfield Neural NetworksSamuel P Muscinelli, Wulfram Gerstner, Johanni BreaNeural Computation|December 29, 2016
Controllability Analysis of the Neural Mass Model with Dynamic ParametersXian Liu, Jing Gao, Guan Wang, et al.Neural Computation|August 9, 2019
A Minimum Free Energy Model of Motor LearningB A Mitchell, N Lauharatanahirun, J O Garcia, et al.Neural Computation|August 9, 2019
A Real-Time Health 4.0 Framework with Novel Feature Extraction and Classification for Brain-Controlled IoT-Enabled EnvironmentsB Jagadish, P K Mishra, M P R S Kiran, et al.Neural Computation|July 24, 2019
Sensitivity to Stimulus Irregularity Is Inherent in Neural NetworksTeun van Gils, Paul H E Tiesinga, Bernhard Englitz, et al.Neural Computation|April 5, 2008
Random neural networks with synchronized interactionsErol Gelenbe, Stelios TimotheouNeural Computation|April 5, 2008
Simultaneous approximations of polynomials and derivatives and their applications to neural networksYoshifusa ItoNeural Computation|March 14, 2008
Can spike coordination be differentiated from rate covariation?Benjamin Staude, Stefan Rotter, Sonja GrünNeural Computation|March 14, 2008
Temporal dynamics of rate-based synaptic plasticity rules in a stochastic model of spike-timing-dependent plasticityTerry ElliottPageof 301