PhD ICN (2017 / 2021)

Description

The Ph.D. program in Integrative and Clinical Neuroscience (Aix-Marseille University) is offering in 2017 three Ph.D. scholarships to Master students graduated from highly ranked international universities (outside France). We were awarded with one PhD position for Angelo Franciosini at the “Institut de Neurosciences de la Timone” (team “Inference and Visual Behavior”), CNRS, Marseille (France) to study trajectories in natural images and the sensory processing of contours.

##Funding

This project is funded by the Aix-Marseille Université, which was awarded the prestigious status of “Excellence Initiative” (A*MIDEX) by the French Government and considering interdisciplinary studies as one of its main axes of growth. Within this program, the PhD fellow will sign a three-year work contract. They will enroll the ICN PhD program offering personalized follow-up to the students, a wide spectrum of scientific and professional training activities including specialized courses and career development activities and interactions with multi-disciplinary researchers at Aix-Marseille University and top world-wide visiting speakers, in a vibrant international community of students.

Acknowledgement

This work was supported by the Ph.D. program in Integrative and Clinical Neuroscience (formerly “Ph.D. program in Integrative and Clinical Neuroscience”). It received funding by the Aix-Marseille Université through the prestigious status of “Excellence Initiative” (A*MIDEX) awarded by the French Government.

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Angelo Franciosini
Phd candidate in Computational Neuroscience

During my PhD, I focused on predictive coding in a bio-inspired neural network.

Publications

Meaningful representations emerge from Sparse Deep Predictive Coding

The formation of connections between neural cells is essentially emerging from an unsupervised learning process. During the development …

Top-down feedback in Hierarchical Sparse Coding

From a computer science perspective, the problem of optimal representation using Hierarchical Sparse Coding (HSC) is often solved using …

A hierarchical, multi-layer convolutional sparse coding algorithm based on predictive coding

Sparse coding holds the idea that signals can be concisely described as a linear mixture of few components (called atoms) picked from a …

Sparse Deep Predictive Coding To Model Visual Object Recognition

Convolutional Neural Network (CNN) are popular to model object recognition in the brain. They offer a flexible and convenient framework …

Top-down connection in Hierarchical Sparse Coding

The brain has to solve inverse problems to correctly interpret sensory data and infer the set of causes that generated the sensory …

From biological vision to unsupervised hierarchical sparse coding

The formation of connections between neural cells is essentially emerging from an unsupervised learning process. During the development …

On the Origins of Hierarchy in Visual Processing

It is widely assumed that visual processing follows a forward sequence of processing steps along a hierarchy of laminar sub-populations …

Unsupervised Hierarchical Sparse Coding algorithm inspired by Biological Vision

The brain has to solve inverse problems to correctly interpret sensory data and infer the set of causes that generated the sensory …

Controlling an aerial robot with human gestures using bio-inspired algorithm

Improve performances of existing recognition computer vision algorithms with biological concepts. The gain are expected in the …