Ilya Kuzovkin

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PhD in Neuroscience and Artificial Intelligence from Computational Neuroscience Lab at University of Tartu, Estonia with background in computer science, machine learning, deep learning, brain-computer interfaces, neuroscience. Machine Learning Architect at OffWorld, designing machine learning framework for autonomous mining robots. Studying the synergy between neuroscience and machine learning, aiming to extend the human brain with the computational abilities of artificial systems.

deep learning neuroscience machine learning artificial neural network dnn brain-computer interface bci human brain reinforcement learning backpropagation deepmind human brain augmentation biological neuron successor representations grid cells marr data introduction philosophy incomplete intuition inconsistent gödel ai go alphago ilsvrc imagenet residual network keras autoencoder lstm predictive coding visual cortex ventral stream nips turing machines neuroimaging fmri robotic arm intracranial article kalman filter opengl gpu gpgpu cuda opencl shader brain-computer interfaces fourier som

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Article overview: Deep Neural Networks Reveal a Gradient in the Complexity of Neural Representations across the Ventral Stream

8 years ago • 1142 Views

Ilya Kuzovkin

Presentations

Ilya Kuzovkin - Adaptive Interactive Learning for Brain-Computer Interfaces

Soft Introduction to Brain-Computer Interfaces and Machine Learning

Introduction to Computing on GPU

Article Overview "Reach and grasp by people with tetraplegia using a neurally controlled robotic arm"

Neuroimaging: Intracortical, fMRI, EEG

Neural Turing Machines

NIPS2014 Article Overview: Do Deep Nets Really Need to be Deep?

Article overview: Deep Neural Networks Reveal a Gradient in the Complexity of Neural Representations across the Ventral Stream

Article overview: Unsupervised Learning of Visual Structure Using Predictive Generative Networks

Deep Learning: Theory, History, State of the Art & Practical Tools

Paper overview: "Deep Residual Learning for Image Recognition"

Mastering the game of Go with deep neural networks and tree search (article overview)

Introduction to Machine Learning @ Mooncascade ML Camp

Intuitive Intro to Gödel's Incompleteness Theorem

The First Day at the Deep learning Zoo

The Brain and the Modern AI: Drastic Differences and Curious Similarities

Understanding Information Processing in Human Brain by Interpreting Machine Learning Models - PhD Defense Slides

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Introduction to Common Spatial Pattern Filters for EEG Motor Imagery Classification

Lecture9: 123.101