Cortical surface electrical potentials are composed of multiple bandlimited frequency components, including high-gamma

Posted by klaurent UCSF

Kavli Affiliate: Kristofer Bouchard, Edward Chang | Authors: Jesse A Livezey, Ahyeon Hwang, Kseniya Usovich, Maximilian Dougherty, Edward F Chang and Kristofer E Bouchard | Summary: A common challenge in neuroscience is how to decompose noisy, multi-source signals measured in experiments into biophysically interpretable components. Analysis of cortical surface electrical potentials (CSEPs) measured using electrocorticography […]


Continue.. Cortical surface electrical potentials are composed of multiple bandlimited frequency components, including high-gamma

Oxytocin receptor is not required for social attachment in prairie voles

Posted by klaurent UCSF

Kavli Affiliate: Devanand Manoli | Authors: Kristen M. Berendzen, Ruchira Sharma, Maricruz Alvarado, YiChao Wei, Forrest D. Rogers, Adele Seelke, Trenton C. Simmons, Jessica Bond, Rose D. Larios, Michael Sherman, Srinivas Parthasarathy, Isidero Espineda, Joseph R. Knoedler, Annaliese Beery, Karen L. Bales, Nirao M Shah and Devanand S. Manoli | Summary: Prairie voles are among […]


Continue.. Oxytocin receptor is not required for social attachment in prairie voles

Suboptimal phenotypic reliability impedes reproducible human neuroscience

Posted by klaurent Hopkins

Kavli Affiliate: Joshua Vogelstein | Authors: Aki Nikolaidis, Andrew An Chen, Xiaoning He, Russell Shinohara, Joshua Vogelstein, Michael Milham and Haochang Shou | Summary: Biomarkers of behavior and psychiatric illness for cognitive and clinical neuroscience remain out of reach. Suboptimal reliability of biological measurements, such as functional magnetic resonance imaging (fMRI), is increasingly cited as […]


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A Taxonomy of Recurrent Learning Rules

Posted by klaurent Delft

Kavli Affiliate: Sander Otte| First 5 Authors: Guillermo Martín-Sánchez, Guillermo Martín-Sánchez, , , | Summary:Backpropagation through time (BPTT) is the de facto standard for training recurrent neural networks (RNNs), but it is non-causal and non-local. Real-time recurrent learning is a causal alternative, but it is highly inefficient. Recently, e-prop was proposed as a causal, local, […]


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