Dani Bassett Elected an American Physical Society Fellow

Congratulations to Dani Bassett, who has been elected a 2021 Fellow of the American Physical Society (APS) “for significant contributions to the network modeling of the human brain, including dynamical changes caused by evolution, learning, aging, and disease.”

Bioengineering
Electrical and Systems Engineering

Evolution, Emergence and the Brain

Reimagining scientific discovery through the lens of an artist

The latest exhibition by Rebecca Kamen, Penn artist-in-residence and visiting scholar, at American University Museum at the Katzen Arts Center explores curiosity and the creative process across art and science. The exhibit was inspired by the work of Dani Bassett and Perry Zurn.

Bioengineering
Electrical and Systems Engineering

Evolution, Emergence and the Brain

How Computationally Complex Is a Single Neuron?

Computational neuroscientists taught an artificial neural network to imitate a biological neuron. The result offers a new way to think about the complexity of single brain cells. Konrad Kording comments in this Quanta Magazine article.

Bioengineering
Neuroscience

Evolution, Emergence and the Brain

Why storytelling is an important tool for social change

In her LA Times op-ed, Emily Falk discusses how neuroscience research shows that stories are processed differently from other types of information in the brain. What is special about stories?

Communication
Marketing
Psychology

Evolution, Emergence and the Brain

OHBM 2021 Keynote Interview Series: Heterogeneity Is the Key

In this OHBM interview, Ted Satterthwaite discusses his career path, the influence of machine learning on the future of psychiatry, and the tools he's currently working on developing.

Psychiatry

Evolution, Emergence and the Brain

Modeling Brain Networks and Bias in Science

Dani Bassett spoke on an episode of the podcast OHBM Neurosalience on network control theory for modulating networks for therapy and limitations in technology for modulation.

Bioengineering
Electrical and Systems Engineering

Evolution, Emergence and the Brain

Artificial Neural Nets Finally Yield Clues to How Brains Learn

The learning algorithm that enables the runaway success of deep neural networks doesn’t work in biological brains, but researchers are finding alternatives that could. Konrad Kording comments on how networks of biological neurons may learn by studying algorithms in artificial deep networks in this Quanta Magazine article.

Bioengineering
Neuroscience
Psychology

Evolution, Emergence and the Brain

Penn to Develop New Turing Tests, Investigate How AI Can Become More Like Biological Intelligence

Despite their tiny brains, honey bees are intelligent and capable of solving complex, novel problems. AI researchers led by Konrad Kording aim to better understand this kind of biological intelligence in order to make artificially intelligent systems better able to learn and adapt.

Bioengineering
Computer and Information Science
Neuroscience

Evolution, Emergence and the Brain

Studying ‘Hunters and Busybodies,’ Penn and American University Researchers Measure Different Types of Curiosity

A new study undertaken by Dani Bassett and collaborators uses Wikipedia browsing as a method for describing curiosity styles. Using a branch of mathematics known as graph theory, their analysis of curiosity opens doors for using it as a tool to improve learning and life satisfaction.

Bioengineering
Electrical and Systems Engineering

Evolution, Emergence and the Brain

A Radical New Model of the Brain Illuminates Its Wiring

Network neuroscience could revolutionize how we understand the brain—and change our approach to neurological and psychiatric disorders. Dani Bassett discusses this developing discipline in this recent Wired article.

Bioengineering
Electrical and Systems Engineering

Evolution, Emergence and the Brain

News

Dani Bassett Elected an American Physical Society Fellow

Reimagining scientific discovery through the lens of an artist

How Computationally Complex Is a Single Neuron?

Why storytelling is an important tool for social change

OHBM 2021 Keynote Interview Series: Heterogeneity Is the Key

Modeling Brain Networks and Bias in Science

Artificial Neural Nets Finally Yield Clues to How Brains Learn

Penn to Develop New Turing Tests, Investigate How AI Can Become More Like Biological Intelligence

Studying ‘Hunters and Busybodies,’ Penn and American University Researchers Measure Different Types of Curiosity

A Radical New Model of the Brain Illuminates Its Wiring