Arjun Ramakrishnan is a Research Associate in the Platt lab who has 12+ years of experience in collecting, analyzing, and modeling electrophysiological data related to action planning, decision-making, information seeking. He is interested in developing novel technology at the interface of neuroscience and engineering. He was instrumental in demonstrating the first Brainet, which involved large-scale neural recording from more than one brain to jointly achieve a common goal. This work has been well-cited and featured in leading newspapers and magazines like the NYT and the Guardian.
He’s currently working on a project that utilizes eye tracking, pupillometry, EEG-based biomarkers to monitor brain states when humans and animals are engaged in explore-exploit decision-making. He’s also developing multichannel recording methods to monitor neural population activity in nonhuman primates to understand how reward values translate to action values.
K.M.Sharika, Arjun Ramakrishnan, Aditya Murthy. “Predictive Oculomotor control during errors.” Journal of Neurophysiology, 100: 2757 – 70, 2008.
Arjun Ramakrishnan, Snehal Chokhandre, Aditya Murthy. “Voluntary control of multi- saccade gaze shifts during movement preparation and execution” Journal of Neurophysiology, 103, 2400-16, 2010.
Arjun Ramakrishnan, Ramakrishnan Sureshbabu, Aditya Murthy. “Understanding how the brain changes its mind: microstimulation in the macaque frontal eye field reveals how saccade plans are changed.” Journal of Neuroscience, 32(13): 4457-72, 2012.
Arjun Ramakrishnan & Murthy, A. Brain mechanisms controlling decision making and motor planning. Progress in brain research 202, 321-345, 2013.
Schwarz, D.A., et al. Chronic, wireless recordings of large-scale brain activity in freely moving rhesus monkeys. Nature methods 11, 670-676 (2014).
K.M.Sharika, Arjun Ramakrishnan, Aditya Murthy. Use of exocentric and egocentric representations in the concurrent planning of sequential saccades. Journal of Neuroscience, 34, 16009-21 (2014).
Arjun Ramakrishnan, Peter J. Ifft, Miguel Pais-Vieira, Yoon Woo Byun, Katie Z. Zhuang, Mikhail A. Lebedev, Miguel A.L. Nicolelis. Computing Arm Movements with a Monkey Brainet. Scientific Reports. 2015 Jul 9; 5:10767.
Arjun Ramakrishnan, Yoon Woo Byun, Kyle Rand, Christian Pedersen, Mikhail A.Lebedev, Miguel A.L. Nicolelis. Cortical Neurons Multiplex Reward-Related Signals along with Sensory and Motor Information. (under review)
Arjun Ramakrishnan, Yoon Woo Byun, William Huffman, Solaiman Shokur, Zheng Li, Mikhail A. Lebedev, Miguel A.L. Nicolelis. Representation of self generated actions vis-à-vis observed actions in the primate motor cortex. (in preparation)
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