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Frontiers in Computational Neuroscience|August 11, 2020
Computational Characteristics of the Striatal Dopamine System Described by Reinforcement Learning With Fast GeneralizationYoshihisa Fujita, Sho Yagishita, Haruo Kasai, et al.Frontiers in Computational Neuroscience|April 9, 2015
RM-SORN: a reward-modulated self-organizing recurrent neural networkWitali Aswolinskiy, Gordon PipaFrontiers in Computational Neuroscience|August 1, 2020
A Model of Memory Linking Time to SpaceHubert Löffler, Daya Shankar GuptaFrontiers in Computational Neuroscience|March 28, 2015
Improper activation of D1 and D2 receptors leads to excess noise in prefrontal cortexMichael C Avery, Jeffrey L KrichmarFrontiers in Computational Neuroscience|February 27, 2015
A self-organizing model of perisaccadic visual receptive field dynamics in primate visual and oculomotor systemBedeho M W Mender, Simon M StringerFrontiers in Computational Neuroscience|August 9, 2020
Top-Down Control of Inhibitory Granule Cells in the Main Olfactory Bulb Reshapes Neural Dynamics Giving Rise to a Diversity of ComputationsZhen Chen, Krishnan PadmanabhanFrontiers in Computational Neuroscience|May 1, 2023
Dynamics of a model for the degradation mechanism of aggregated α-synuclein in Parkinson's diseaseBojie Yang, Zhuoqin Yang, Lijie HaoFrontiers in Computational Neuroscience|May 1, 2023
Spike timing-dependent plasticity under imbalanced excitation and inhibition reduces the complexity of neural activityJihoon Park, Yuji Kawai, Minoru AsadaFrontiers in Computational Neuroscience|March 30, 2023
A survey of neurophysiological differentiation across mouse visual brain areas and timescalesSaurabh R Gandhi, William G P Mayner, William Marshall, et al.Frontiers in Computational Neuroscience|July 23, 2020
Neurons as Canonical Correlation AnalyzersCengiz Pehlevan, Xinyuan Zhao, Anirvan M Sengupta, et al.Pageof 201