Jen-Yung Chen

Kavli Institute for Brain and Mind

University of California, San Diego

Research Overview:

I. Biological Intelligence

In the quest to unravel the enduring mind-body problem, both top-down and bottom-up approaches have been employed. According to the top-down approach, philosophers attempt to comprehend the rational nature of the mind and its interaction with the external world. On the other hand, through the bottom-up approach, neuroscientists have devoted their efforts in clarifying the brain functions via detailed biological mechanisms. However, studies reliant solely on either the top-down or bottom-up approach offer only a partial understanding. At the next step, searching for an appropriate framework that is able to bridge the gap between our understanding of the mind (derived from the top-down approach) and the brain (obtained via the bottom-up approach) is crucial and necessary. Through a combination of theoretical and experimental approaches, a number of my studies are designed to establish such framework and hence contribute to the connection between our understanding of the brain and the mind.

Research topics:

II. Biological Homeostasis

Over the centuries, it is increasingly understood that the operation of biological homeostasis is the central organizing principle for all living organisms to maintain their life. Its successful operation warrants that all biological functions are running under optimal conditions and performance. While traditional study of biological homeostasis has been focused on individual biological functions in particular organs or tissues, my current research aims to clarify how different biological functions interact with each other to reach/maintain comprehensive biological homeostasis in an organism.

Research topics:

Publications:

Grover D, Chen JY, Xie J, Li J, Changeux JP, Greenspan RJ (2022) 

Nature, 2022, 603(7900): 302-308.

Wu ST*, Chen JY*, Martin V, Ng R, Zhang Y, Grover D, Greenspan RJ, Aljadeff J, Su CY

PNAS, 2022, 119(5): e2120134119.

Krishnan GP, Rosen BQ, Chen JY, Muller L, Sejnowski TJ, Cash SS, Halgren E, Bazhenov M (2018) 

PLoS Computational Biology, 2018, 14(6): e1006171.

Bannon NM, Chistiakova M, Chen JY, Bazhenov M, Volgushev M

Journal of Neuroscience, 2017, 37: 1439-1452.

Volgushev M, Chen JY, Ilin V, Goz R, Chistiakova M, Bazhenov M

Journal of Neuroscience, 2016, 36: 8842-8855.

Chen JY*, Marachlian E*, Assisi C, Huerta R, Smith B, Locatelli F, Bazhenov M

Journal of Neuroscience, 2015, 35:179-197.

Chisiakova M, Bannon NM, Chen JY, Bazhenov M, Volgushev M

Frontiers in Computational Neuroscience, 2015, 9:89. doi:10.3389/fncom.2015.00089.

Lemieux M, Chen JY, Lonjers P, Bazhenov M, Timofeev I

Journal of Neuroscience, 2014, 34: 5689-5703.

Chen JY, Lonjers P, Lee C, Volgushev M, Bazhenov M

Journal of Neuroscience, 2013, 33: 15915-15929.

Chen JY, Skorheim S, Timofeev I, Bazhenov M

Journal of Physiology, 2012, 590: 3987-4010.

Chen JY, Victor JD, Di Lorenzo PM

Journal of Neurophysiology, 2011, 105: 697-711.

Chen JY

Neural Computation, 2010, 22: 1086-1111.

Di Lorenzo PM, Chen JY, Victor JD

Journal of Neuroscience, 2009, 29: 9227-9238.

Di Lorenzo PM, Chen JY, Rosen AM, Roussin AT

Encyclopedia of Neuroscience. 2009, Springer, 4014-4019.

Chen JY, Di Lorenzo PM

Journal of Neurophysiology, 2008, 99: 2144-2157.

Roussin AT, Victor JD, Chen JY, Di Lorenzo PM

Journal of Neurophysiology, 2008, 99: 644-655.

Di Lorenzo PM, Chen JY 

Behavioral and Brain Sciences. 2008, 31: 78-79.

Acknowledgements:

Contact:

Jen-Yung (Jay) Chen

Kavli Institute for Brain and Mind

University of California, San Diego


jec217@ucsd.edu