Papers
14
Total Citations
734
H-Index
12
About
Angelo Arleo is a computational neuroscientist whose research sits at the rich intersection of neuroscience, robotics, and artificial intelligence. His work has made foundational contributions to our understanding of spatial cognition, drawing inspiration from the brain's navigational machinery — particularly hippocampal place cells and head-direction cells — to build biologically plausible models for autonomous agents and robots. Arleo's most celebrated contribution, "Spatial cognition and neuro-mimetic navigation: a model of hippocampal place cell activity" (2000, 271 citations), established him as a leading voice in bio-inspired navigation, demonstrating how neural representations of space could be computationally modeled and applied to robotic systems. His subsequent work expanded this framework to incorporate multimodal sensory integration, reinforcement learning, and Gabor-based state-space representations, earning hundreds of additional citations across the field. Beyond navigation, Arleo has pursued ambitious neuroengineering applications, including closed-loop systems for fine touch sensing and spiking cerebellar models driving vestibulo-ocular reflexes in the humanoid iCub robot. These contributions bridge theoretical neuroscience and real-world robotics in compelling ways. Across his career, Arleo's research has shaped how scientists and engineers think about embodied intelligence, sensorimotor integration, and neuromorphic computing.
Research Focus
Key Achievements
Top Papers
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- 5A closed-loop neurobotic system for fine touch sensing43 citations · 2013
- 6VOR Adaptation on a Humanoid iCub Robot Using a Spiking Cerebellar Model33 citations · 2019
- 7Spatial orientation in navigating agents: Modeling head-direction cells25 citations · 2001
- 8A Spiking Neuron Model of Head-Direction Cells for Robot Orientation19 citations · 2004
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