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职业迁徙
个人简介
I use mathematical tools to study how the brain helps us navigate the world. It’s fascinating that the same brain regions that help us navigate through a city, can also help us infer relationships in family trees and social hierarchies. The brain continuously computes the body’s position in space and makes adjustments to that estimate as we move about. I am particularly interested in how the brain extrapolates information from one spatial environment to navigate new and different environments.
Our ability to navigate a labyrinth, for example, depends on a so-called “cognitive map,” or a mental representation of our physical environment. I study how this map is learned and organized in the brain so that we can quickly and efficiently find our way in the physical — and social — world.
My previous work includes building a neural model of context dependent decision making in the prefrontal cortex that performs input selection and integration as a nonlinear recurrent dynamical process. In other work, I built a spiking neural bayesian model of life span inference that addresses the issue of representing probability distributions using neural circuits, and combining them in meaningful ways to perform inference (based on online learning of priors from life experience). I am currently exploring the coding principles in the hippocampal circuits implicated in spatial navigation, and their role in cognitive computations like structure learning and relational reasoning.
研究兴趣
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Sugandha Sharma, Guy Davidson, Khimya Khetarpal,Anssi Kanervisto, Udit Arora,Katja Hofmann,Ida Momennejad
CoRR (2024)
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semanticscholar(2022)
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bioRxiv (Cold Spring Harbor Laboratory) (2021)
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