The Computing Brain
Modern AI has harnessed our models of brain function into very powerful applications. But the algorithms from which modern AI derives its successes constitute a really small part of brain dynamics and function. We are yet to understand how biological matter gives rise to the impressive breadth of behavior of the human being. The computing brain minor focuses on ‘understanding’, rather than on ’tooling’ brain function. Its main goal is to prepare students to think about intelligence at large, and enable discovery of the next level AI algorithms via constructive understanding of brain function, via computational modeling.
This is Youtube channel for the eponymous EUR minor degree with useful shared playlists.
Neuromorphic Frontiers
Modeling Dynamical Systems (Structure and Function)
Mind from Matter (Lecture By Joscha Bach)
What is memory made of? Attractor Landscapes
NeuroAI minor @ EMC (pitch)
Linear Systems (2020) Part I
Receptive Fields, Tuning Curves and Deep Networks Playground (NB3014 , 2022)
Hodgkin Huxley Project Review (2023)
Dynamical clustering in the Inferior Olive (Lecture at UvA 12/2020)
TCB 2021 introduction - the computing brain - part 3
TCB 2021 introduction - the computing brain - part 2
TCB 2021 introduction - the computing brain - part 1
Experimental Methods in Neuroscience Research (2022)
Reinforcement Learning and the Brain (Paul Middlebrooks, 2022)
A large scale model of the inferior olive
From Language to Consciousness (Guest: Joscha Bach)
Inferior Olive's Digital Twin
In Silico (opinion / preview)
Computational Neuroscience vs Neural Computation
Figure360 2
RNNs in the Brain
Lecture3 NB3014 - Leaky Integrate and Fire (LIF) and SpikingNetworks
Primer in Neural Networks - Lecture 2 - Part I (HH Review)
NB3014 - Lecture 5 - Decision Boundaries
NB3014 - Lecture 5 - Part 1 - Reviews
NB3014 - Lecture 5 - Part 4 - RNNs and Reservoir Networks
NB3014 - Lecture 5 - Part 2 - Neocognitron - Convolutions - Tensorflow Playground
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