57 citations · 150 across the 8 of their papers we have counts for
8 papers
How connectivity structure shapes rich and lazy learning in neural circuits
Yuhan Helena Liu, Aristide Baratin, Jonathan Cornford +3
In theoretical neuroscience, recent work leverages deep learning tools to explore how some network attributes critically influence its learning dynamics. Notably, initial weight di…
Gaussian Partial Information Decomposition: Bias Correction and Application to High-dimensional Data
Praveen Venkatesh, Corbett Bennett, Sam Gale +5
Recent advances in neuroscientific experimental techniques have enabled us to simultaneously record the activity of thousands of neurons across multiple brain regions. This has led…
Biologically-plausible backpropagation through arbitrary timespans via local neuromodulators
Yuhan Helena Liu, Stephen Smith, Stefan Mihalas +2
The spectacular successes of recurrent neural network models where key parameters are adjusted via backpropagation-based gradient descent have inspired much thought as to how biolo…
Convolutional neural networks with extra-classical receptive fields
Brian Hu, Stefan Mihalas
Convolutional neural networks (CNNs) have had great success in many real-world applications and have also been used to model visual processing in the brain. However, these networks…
A Computational Analysis of the Function of Three Inhibitory Cell Types in Contextual Visual Processing
Jung H. Lee, Christof Koch, Stefan Mihalas
Most cortical inhibitory cell types exclusively express one of three genes, parvalbumin, somatostatin and 5HT3a. The visual responses of cortical neurons are affected not only by l…
Feedback through graph motifs relates structure and function in complex networks
Yu Hu, Steven L. Brunton, Nicholas Cain +3
In physics, biology and engineering, network systems abound. How does the connectivity of a network system combine with the behavior of its individual components to determine its c…
High resolution neural connectivity from incomplete tracing data using nonnegative spline regression
Kameron Decker Harris, Stefan Mihalas, Eric Shea-Brown
Whole-brain neural connectivity data are now available from viral tracing experiments, which reveal the connections between a source injection site and elsewhere in the brain. Thes…
A general theory of intertemporal decision-making and the perception of time
Vijay Mohan K Namboodiri, Stefan Mihalas, Tanya Marton +1
Animals and humans make decisions based on their expected outcomes. Since relevant outcomes are often delayed, perceiving delays and choosing between earlier versus later rewards (…