The podcast focuses on topics in theoretical/computational neuroscience and is primarily aimed at st
In 1982 John Hopfield published the paper "Neural networks and physical systems with emergent collec
The leading theory for learning and memorization in the brain is that learning is provided by synapt
In September Paul Middlebrooks, the producer of the podcast BrainInspired, and I were both on a neur
Most of what we have learned about the functioning of the living brain has come from extracellular e
The most prominent visual characteristic of neurons is their dendrites. Even more than 100 years aft
The greatest mystery of all is why a group of atoms, like the ones constituting me, can feel anythin
Computational neuroscientists use many software tools, and NEURON has become the leading tool for bi
The idea that memories are stored in molecules was popular in the middle of the 20th century. Howeve
Is quantum physics important in determining how living systems, including brains, work? Today's gue
Most computational neuroscientists investigate electric dynamics in neurons or neural networks, but
Today’s AI is largely based on supervised learning of neural networks using the backpropagation-of-e
Over the last ten years or so, the MindScope project at the Allen Institute in Seattle has pursued a
Today’s guest is a pioneer both in the fields of computational neuroscience and artificial intellige
Today’s guest has argued that the present dominant way of doing systems neuroscience in mammals (lar
Over the last decade topological analysis has been established as a new tool for analysis of spiking
Not all interesting network activity occurs in cortex. Networks in the spinal cord, the long thin tu
We know a lot about of how neurons in the primary visual cortex (V1) of mammals respond to visual st
A key goal of computational neuroscience is to build mathematical models linking single-neuron activ
It is widely thought that spikes (action potentials) are the main carrier of information in the brai
