About

I am fascinated by the human brain, and I am driven to understanding the brain's underlying operating system. I have done academic research in the fields of computational psychiatry, theoretical neuroscience, and artificial intelligence. My research broadly focuses on neural circuitry responsible for the production of cognition and it explores how pertubations in structure result in cogntive and psychiatric disorders.

I am a currently doing research full time on computational neuroscience and artificial intelligence at Harvard. At Harvard, I work with Sam Gershman.

 

I was previously a student at Columbia University where I studied Computer Science (theory), Mathematics, and Physics. During my time at Columbia, I did research in the lab of Niko Kriegeskorte and I did independent research under the supervision of Christos Papadimitriou. I have also done work with Bernardo Sabatini at Harvard and I have collaborated with Vikaas Sohal  at UCSF. I previously spent several years in San Francisco and Palo Alto, where I worked for several different startups and founded one.

Research

Ongoing Work

  1. Formation of structural representations
    • The aim is to identify how inhibition and other mechanisms result in differences in the structural organizationing of information that is transferred between the hippocampus and the prefrontal cortex.
    • The methodology is through computational modeling
  2. Properties of structural representations
    • The aim is to identify how different structural organizationing of information translates to different behavioral outputs
    • The methodology is through a mix of computational modeling and through neural recordings of human subjects through fMRI
  3. Properties of producing structural representations
    • The aim is to identify the physical shape and other properties of the hidden neural networks that transform what is observed (input and output)
    • The methodology is through computational modeling

Publications

Under Review
  1. Golan, T., Raju P. C., & Kriegeskorte, N. (in revision). Controversial stimuli: pitting neural networks against each other as models of human recognition. (Proceedings of the National Academy of Sciences) [link][pdf][code]
In Preparation
  1. Raju P. C., The bricks of the aggregate: neural structure and the production of cognition

Conference Abstracts

  1. Golan, T., Raju P. C., & Kriegeskorte, N. (2020, March). Adjudicating between deep neu-ral network models of biological vision with controversial stimuli. Unpublished conference paper. Computational and Systems Neuroscience (Cosyne) Denver, CO. (Poster III-53) [link]

Interests

Brain Function

Academic

There are 1010 neurons in the human brain, with an average of 104 synapses on each. Despite this extremely large and complex configutation, the brain is able to rapidly store and retrieve information by performing less then 100 computations in the order of microseconds, which is extraordinarily impressive when taken into account that nobody has been able to produce a polynomial time solution to the Traveling Salesperson Problem inspite of the best effort of some of the brightest minds. It's abilitiy to store large amounts of information and to be able to learn to piece together disparate sets of information under different contexts is something that the most sophisticated AI does not come close to being able to accomplish. Though significant progress has been made in learning how key elements of the brain work, the mechanics of its underlying operating system still remains unknown.

All of my research interests are guided by an Ahabian desire to learn how the brain's operating system works. In this pursuit, I am interested in learning about the biophysical properties of the brain at every possible level - from individual dendritic spines to long range networks - and to be able to bridge together experimental findings and to move into uncharted waters with theoretical proposals and accompanying computational frameworks. My hope is that the recent advances in AI research and that the easy access to powerful computing hardware will make simulating and testing such frameworks possible, and that they will ultimately advance the development of a unified theory of the brain's operating system.

Arjun and Divya (2017) - Prashant C. Raju

Personal

I have enjoyed art since I was young. My interest originally began out appreciation of the aesthetic and has come to far more for the expression today. Over the years, I have painted and I have drawn portraits with both oil and with charcoal. In recent years, my interest in analyzing expression in art has expanded to analyzing it in other domains, particularly in literature and in poetry.

Contact




I enjoy helping people learn and I am always happy to discuss anything related to neuroscience or AI.

My thoughts

Coming soon...

My thoughts

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while (!deck.isInOrder()) {
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}

print 'It took ' + i + ' iterations to sort the deck.';

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