217 citations · 361 across the 9 of their papers we have counts for
11 papers
A fast algorithm for All-Pairs-Shortest-Paths suitable for neural networks
Zeyu Jing, Markus Meister
Given a directed graph of nodes and edges connecting them, a common problem is to find the shortest path between any two nodes. Here we show that the shortest path distances can be…
Efficient population coding of sensory stimuli
Shuai Shao, Markus Meister, Julijana Gjorgjieva
The efficient coding theory postulates that single cells in a neuronal population should be optimally configured to efficiently encode information about a stimulus subject to bioph…
Learning, fast and slow
Markus Meister
Animals can learn efficiently from a single experience and change their future behavior in response. However, in other instances, animals learn very slowly, requiring thousands of…
Curved Micro-Electrode Arrays
Markus Meister
Multi-electrode arrays serve to record electrical signals of many neurons in the brain simultaneously. For most of the past century, electrodes that penetrate brain tissue have had…
Fine-Grained System Identification of Nonlinear Neural Circuits
Dawna Bagherian, James Gornet, Jeremy Bernstein +3
We study the problem of sparse nonlinear model recovery of high dimensional compositional functions. Our study is motivated by emerging opportunities in neuroscience to recover fin…
Learning by Turning: Neural Architecture Aware Optimisation
Yang Liu, Jeremy Bernstein, Markus Meister +1
Descent methods for deep networks are notoriously capricious: they require careful tuning of step size, momentum and weight decay, and which method will work best on a new benchmar…
Learning compositional functions via multiplicative weight updates
Jeremy Bernstein, Jiawei Zhao, Markus Meister +3
Compositionality is a basic structural feature of both biological and artificial neural networks. Learning compositional functions via gradient descent incurs well known problems l…
PanDA: Panoptic Data Augmentation
Yang Liu, Pietro Perona, Markus Meister
The recently proposed panoptic segmentation task presents a significant challenge of image understanding with computer vision by unifying semantic segmentation and instance segment…
Synthetic Examples Improve Generalization for Rare Classes
Sara Beery, Yang Liu, Dan Morris +5
The ability to detect and classify rare occurrences in images has important applications - for example, counting rare and endangered species when studying biodiversity, or detectin…
Physical limits to magnetogenetics
Markus Meister
This is an analysis of how magnetic fields affect biological molecules and cells. It was prompted by a series of prominent reports regarding magnetism in biological systems. The fi…
Can Humans Really Discriminate 1 Trillion Odors?
Markus Meister
A recent paper in a prominent science magazine claims to show that humans can discriminate at least 1 trillion odors. The authors reached that conclusion after performing just 260…