Lectures related to Visual Intelligence: Machines and Minds

Artificial Sight: Restoring Vision with Retinal Implants

Explores bioelectronics, types of blindness, and retinal implants for restoring vision, covering challenges and advancements in artificial sight technologies.

Drone Imaging Analysis

Explores drone imaging analysis using Meshroom software for civil engineering applications.

Neuronal Dynamics: Aims and Challenges MOOC: Neuronal Dynamics 2- Computational Neuroscience: Neuronal Dynamics of Cognition

Explores the aims and challenges in computational neuroscience, focusing on neuronal dynamics of cognition and mean-field arguments.

Perception: Data-Driven Approaches

Explores perception in deep learning for autonomous vehicles, covering image classification, optimization methods, and the role of representation in machine learning.

Improving Models of the Ventral Visual Pathway

Explores computational models of the ventral visual system, focusing on optimizing networks for real-world tasks and comparing to brain data.

Investigating Sensorimotor Control

Investigates sensorimotor control in locomotion using robots and mathematical models, exploring bimodal locomotion, insect walking, and undulatory swimming.

Visual Neuroprostheses: Challenges and Prospects

Discusses the development of visual neuroprostheses for the blind, exploring challenges and future prospects.

Visual Variables in Cartography

Covers visual variables in cartography, including interactions, laws of visual perception, and color coding.

Neuromechanics of Terrestrial Locomotion

Explores computational modeling of terrestrial locomotion, focusing on neural circuits, biomechanics, and gait optimization.

Gaussian Curvature and Geodesics

Explores the derivative of curve lengths, fixed-end deformations, geodesics, surface point typologies, and sphere parametrization.

Quantum Mechanics: Measurement Chain and Consciousness Theory

Explores Quantum Mechanics' Measurement Chain and Consciousness Theory, challenging classical views on determinism and probability.

Topology: Polyhedral Products and Edge Detection

Explores topology concepts and edge detection in computer vision, highlighting the significance of contours and gradients in image analysis.

Consciousness and Brain Connectomics

Delves into the operational definition of consciousness, states of consciousness, brain connectivity, and the connICA method.

Sensory Perception: Cellular Mechanisms MOOC: Cellular Mechanisms of Brain Function

Delves into the creation, learning, and investigation of sensory percepts, and the cellular mechanisms behind sensory perception.

Visual Physiology: Mouse Higher Visual Areas

Explores data from mouse higher visual areas, discussing receptive fields, pathways, visual responsiveness, image selectivity, and stimulus decoding.

Human Senses and Perception

Delves into human senses, perception, sensor stimulation, VR immersion, and vision mechanisms.

Deep Visual Recognition: Interpretability

Explores deep visual recognition, interpretability, CNN architectures, visual dictionaries, and attention mechanisms.

Overview of the Allen Brain Observatory

Covers the Allen Brain Observatory, a survey of physiological activity in the mouse visual cortex, focusing on visually evoked calcium responses and cellular tuning properties.

Human Visual System

Covers the study of the Human Visual System, including anatomy, color perception, retina processing, and focus of attention models.

Cortical populations: Neuronal Dynamics MOOC: Neuronal Dynamics 2- Computational Neuroscience: Neuronal Dynamics of Cognition

Explores population activity, cortical populations, connectivity, and orientation tuning in the visual cortex.

Visual Intelligence: Machines and Minds

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