On synaptic learning rules for spiking neurons - with Friedemann Zenke - #11
Today's AI is largely based on supervised learning of neural networks using the backpropagation-of-error synaptic learning rule. This learning rule relies on differentiation of continuous activation f...
27 Apr 20241h 30min
On large-scale modeling of mouse primary visual cortex - with Anton Arkhipov - #10
Over the last ten years or so, the MindScope project at the Allen Institute in Seattle has pursued an industrylab-like approach to study the mouse visual cortex in unprecedented detail using electroph...
30 Mars 20242h 2min
On origins of computational neuroscience and AI as scientific fields - with Terrence Sejnowski (vintage) - #9
Today's guest is a pioneer both in the fields of computational neuroscience and artificial intelligence (AI) and has had a front seat during their development. His many contributions include, for exa...
16 Mars 20241h 55min
On reverse engineering of the roundworm C.elegans - with Konrad Kording - #8
Today's guest has argued that the present dominant way of doing systems neuroscience in mammals (large-scale electric or optical recordings of neural activity combined with data analysis) will be inad...
2 Mars 20241h 34min
On topological data analysis and Hopfield-like network models - with Carina Curto - #7
Over the last decade topological analysis has been established as a new tool for analysis of spiking data. Today's guest has been a pioneer in adapting this mathematical technique for use in our field...
3 Feb 20242h 14min
On central pattern generators in the spinal cord - with Henrik Lindén - #6
Not all interesting network activity occurs in cortex. Networks in the spinal cord, the long thin tubular structure extending downwards from the neck, is responsible for setting up rhythmic motor acti...
6 Jan 20241h 26min
On how vision works - with Li Zhaoping - #5
We know a lot about of how neurons in the primary visual cortex (V1) of mammals respond to visual stimuli. But how does the vast information contained in the spiking of millions of neurons in V1 give ...
9 Dec 20231h 21min
On multi-area cortex models - with Sacha van Albada - #4
A key goal of computational neuroscience is to build mathematical models linking single-neuron activity to systems-level activity. The guest has taken some bold steps in this direction by developing a...
18 Nov 20231h 32min
