Motivation Letter

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{\Large\bfseries\color{accent} Daniel Okonkwo}\\[2pt]
M.Sc.\ Computational Neuroscience, University College London\\
\href{mailto:[email protected]}{[email protected]} \quad $\vert$ \quad +44 7700 900123\\
\href{https://danielokonkwo.com}{danielokonkwo.com}
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Graduate Admissions Committee\\
Ph.D.\ Program in Computational Neuroscience\\
Massachusetts Institute of Technology\\
Department of Brain and Cognitive Sciences\\
Cambridge, MA 02139, USA
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\today

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Dear Members of the Admissions Committee,

I am writing to apply for the Ph.D.\ program in Computational Neuroscience at MIT, beginning Fall 2026. My academic journey---from an undergraduate degree in Mathematics at the University of Edinburgh to my current M.Sc.\ in Computational Neuroscience at University College London---has been driven by a singular fascination: understanding how the brain represents and manipulates abstract knowledge. I am confident that MIT's Department of Brain and Cognitive Sciences, with its unique integration of experimental and computational approaches, is the ideal environment for me to pursue this question at the highest level.

\subsection*{Academic Background}

My interest in the intersection of mathematics and neuroscience was sparked during my third year at Edinburgh, when I took a course on dynamical systems and realized that the same mathematical frameworks used to describe physical phenomena could illuminate neural computation. I graduated with First Class Honours, receiving the departmental prize for my dissertation on \textit{``Bifurcation Analysis of Recurrent Neural Network Dynamics,''} supervised by Dr.\ Alistair MacKay. This work demonstrated that biologically plausible recurrent networks exhibit rich dynamical regimes that correlate with computational capacity, and was subsequently published in the \textit{Journal of Computational Neuroscience}.

At UCL, I have deepened both my theoretical foundations and experimental skills. My coursework in neural data analysis, probabilistic machine learning, and systems neuroscience has equipped me with a versatile toolkit. I currently hold a Distinction average and was awarded the Gatsby Computational Neuroscience Unit Scholarship, given to the top three students in the cohort.

\subsection*{Research Experience}

My M.Sc.\ thesis, supervised by Professor Maneesh Sahani at the Gatsby Unit, investigates how population-level neural activity in the prefrontal cortex encodes task structure during flexible decision-making. Using Bayesian latent variable models applied to multi-electrode array recordings from macaques, I have identified low-dimensional neural manifolds that reconfigure dynamically depending on task context. This work has been submitted to \textit{Neuron} and will be presented as a spotlight talk at Cosyne 2026.

Prior to UCL, I spent a summer at the Max Planck Institute for Brain Research in Frankfurt, where I worked with Dr.\ Tatiana Engel on modeling attentional modulation in visual cortex. Using mean-field theory and large-scale simulations, we showed that attention can be understood as a shift in the operating regime of cortical circuits, a finding published in \textit{PLOS Computational Biology}.

\subsection*{Why MIT}

I am particularly drawn to MIT because of the research conducted by Professor Ila Fiete and Professor Mehrdad Jazayeri. Professor Fiete's work on grid cell representations and continuous attractor networks resonates deeply with my interest in how the brain constructs internal models of abstract spaces. Professor Jazayeri's experimental and computational investigations of temporal cognition offer a complementary perspective that I find intellectually compelling. I envision my doctoral research bridging these perspectives---developing computational models of how prefrontal and entorhinal circuits collaborate to support flexible, structured reasoning.

MIT's collaborative ecosystem, including the intersection of BCS with CSAIL, the McGovern Institute, and the Picower Institute, offers an unparalleled environment for interdisciplinary research. The opportunity to engage with researchers across machine learning, robotics, and cognitive science would be instrumental in shaping my development as a scientist.

\subsection*{Future Goals}

My long-term goal is to lead an independent research group that develops computational theories of higher cognition grounded in neural data. I believe that understanding how the brain achieves flexible, compositional reasoning will not only advance neuroscience but also inspire the next generation of AI architectures. MIT's Ph.D.\ program would provide the rigorous training, intellectual community, and mentorship necessary to achieve this vision.

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Thank you for considering my application. I would be happy to provide any additional materials or information. I look forward to the possibility of joining the MIT community.

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Sincerely,

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Daniel Okonkwo

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